Supply Chain Careersis in the HRTech Industry

Supply Chain Careers

Blockchain experts are in demand. Due to its multiple uses, it needs people who can handle this new technology. Like any other great profession, these aren't for everyone. You must have or acquire talents by becoming a and give reasons to recruiters to hire you. certified blockchain professional Nearly all blockchain profession requires fundamental knowledge of blockchain technology and how it might benefit business and public enterprises. Since blockchain is a novel idea, most courses and certifications begin with an introduction. Certain are introductory, while others involve designing, programming, and securing a blockchain system. These qualifications are usually for developers and architects who need technical depth. blockchain certifications So, if you're interested in blockchain or ready to take your job to the next level, enroll in some blockchain classes online. These classes help provide blockchain technology certification in varieties of fields like HR, digital marketing, and legal. Why Is Blockchain Certification A Must? According to a Chicago-based news organization PR Newswire, by 2023, the blockchain industry will be worth $23.3 billion. This is a huge increase over last year's total of $1.2 billion. These days, blockchain technology isn't just employed for retail and supply chain management but also for internal efficiencies. There are many advantages for certified blockchain professionals, including greater wages than those in equivalent, non-blockchain professions. It also helps provide new prospects in industries that are just beginning to utilize blockchain technologies. Experts with can help earn more money overall and diversify your revenue stream. Shorter blockchain technology certifications are often more cost-effective than more extended degrees. The topics covered in both free and paid blockchain certification courses are narrower than those covered in traditional university degree programs. blockchain technology certification Career Options After Blockchain Certifications Blockchain quality engineer It is standard practice to have a quality assurance engineer present in every development team to perform testing and make sure that the final product meets all expectations. In the blockchain world, a certified blockchain quality engineer makes sure that the best quality of work is performed in the blockchain setting. They are responsible for the testing and automation of blockchain frameworks. A blockchain quality engineer requires a "third eye" level of attention to detail. Blockchain developer Expert that can aid businesses in investigating blockchain solutions are in high demand. Because of the widespread interest in blockchain and its potential applications, blockchain development may now be the most sought-after profession. Blockchain developers are responsible for building blockchain-based software. They usually require a huge knowledge of C++, Python, and Javascript. blockchain developers Blockchain Project Manager The Blockchain project managers are in charge of every decentralized ledger project and serve as a conduit between the clients and the software developers. The project manager is responsible for ensuring that the developers have a clear understanding of the project's objective and that all of the requirements outlined by the client have been satisfied. They are accountable for the management of the team, as well as the development of the project's processing and database systems. Good communication skills are also crucial for blockchain project managers. Blockchain Legal Consultant The demand for lawyers has increased in recent years as initial coin offerings (ICO) have become the subject of more regulatory scrutiny. They are in charge of creating legally binding agreements that can carry out their own conditions automatically (so-called "smart contracts"). In addition, they'll give advice to ICO organisers, individual investors and cryptocurrency dealers on a variety of legal concerns that may arise in the context of blockchain technology and digital currencies. Blockchain solution architect The blockchain Solution Architect coordinates the efforts of specialists including programmers, network administrators, user experience designers, and IT operations personnel to create, allocate, and connect the various parts of blockchain systems. They translate the requirements of the business into technical specifications and develop the metrics that will be used to evaluate the solution's effectiveness. Blockchain UX designer The design and user interface of blockchain applications are becoming increasingly important as the technology is adopted across a wide range of sectors. A blockchain UX designer's task is to design a user interface that is creative yet simple enough to win over the trust of users. It should be a mix of technology and art. Individuals in this field need to be detail-oriented, creative, and, most importantly, persistent, as their jobs require them to spend long periods of time at a computer. Blockchain Web Designer This career option wants an aspirant to be a master of all trades to succeed as a blockchain web designer. They'll need to bridge the gap between the operation, content, and marketing team and use tools like Sketch, Photoshop, Figma, etc. to create a new User Interface (UI) layout. One of the primary roles of a blockchain web designer is to create innovative ideas and intuitive interfaces. All of this has evolved into its own subfield because businesses of all sizes, from startups to multinational conglomerates, require informative and user-friendly websites to reach their target audiences.

What Careers are Available in the Blockchain Industry?

The number of cybersecurity jobs since 2013. As more agencies and corporations store and transmit data, having a secure network is more critical than ever. has grown 350% Cybersecurity is also a lucrative career field, with the average salary being six figures in many states and sitting at over $80,000 per year. It is a career that offers growth opportunities and isn’t going away anytime soon. the average salary Cybersecurity was not a prominent career opportunity just decades ago, but workers are finding that it’s not too late to change the direction of their careers. Cybersecurity is a field that requires many technical “hard skills,” which will typically require some education and training. Still, it also needs “soft skills” that employees can gather in some surprising other career paths. Communication, creativity, security, and legal skills can become the basis for a fruitful cybersecurity career. Here are five careers that translate surprisingly well to cybersecurity. 1. Accountant There are many similarities between the accounting and cybersecurity fields. Both careers require employees to be skilled with numbers and very detail-oriented. Accountants can follow money trails and build a large, detailed picture of a financial situation. They have to ensure every cent is accounted for to keep their clients in the best financial position without worrying about facing the Internal Revenue Service. Cybersecurity experts go through a very similar process with data. Whether developing new software and protocols or tracking stolen data, experts can piece together bits of information to find and protect data. They work with their clients to see where data sits in their infrastructure and how it moves along their supply chain to control the information. Protecting a client’s data also means protecting financial information that has become digitized, which is a natural extension of any computer-savvy accountant’s career. 2. Lawyer With cybercrime rates higher than ever, the industry will look for cyber lawyers in greater numbers. As high-profile data breaches continue to be a problem, corporations are looking for lawyers who are focused on cybersecurity matters to defend them and protect their interests. Cyber lawyers will also need to stay up-to-date with their technical knowledge, from disk- to web-based technologies, and preserve any virtual evidence to prosecute cybercriminals. This differs from other law specialties since cyber lawyers are at a much higher risk of their evidence disappearing. There are : advisors and litigators. Advisors typically only assist with pre-litigation matters, while litigators handle the rest. A skilled and knowledgeable cybersecurity lawyer can relieve information technology (IT) teams under stress when legal issues arise. two types of cybersecurity lawyers 3. Customer Service Despite the stereotype, cybersecurity experts don’t work in an isolated environment. Having people skills is an asset in the cybersecurity field. Phishing is a common way for hackers to breach data, so it’s essential to have professionals in the industry who understand how to communicate with both internal and external teams to educate them about these types of cybersecurity threats. Customer service representatives are already skilled in this type of communication and quick on their feet to solve problems. These skills become vital when cybersecurity threats arise. Adaptability and people skills are essential traits that customer service representatives bring to the table in the cybersecurity field. 4. Military It can be more challenging for veterans to adjust to a new career after years of serving their country. It makes sense to transition from one job of keeping people safe to another. Military professionals are quick on their feet and dedicated to the safety of those they’re assigned to protect. This is true with cybersecurity professionals as well. The industry appreciates this passion and dedication. Veterans can look into private-sector positions or apply to stay with the government in one of their cybersecurity sectors. Those with a college diploma or some experience working in cyber areas have an in getting a job in cybersecurity. even more significant advantage 5. Performer Cybersecurity and performance may seem like completely different careers, but the creative skills honed by performers can be vital for cybersecurity. Hackers don’t follow the rules and can be incredibly creative, which is why they have been able to get past most traditional security defenses. The cybersecurity industry needs professionals who can get inside the mind of a hacker and think of the outside-the-box ways they may try to get past security so experts can fix those vulnerabilities before hackers find them. Creative minds are vital to the future of cybersecurity and may be the perfect option for an artist or performer looking to settle into a more stable career. Entering Into Cybersecurity While professionals to get started in cybersecurity, they will likely need some cybersecurity certifications before making it anywhere in the industry. don’t necessarily need a degree Getting certified by programs such as Certified Ethical Hacker or COMPTIA+ can be a significant step towards getting a cybersecurity job. These courses and exams help ensure that applicants are proficient in various networking and IT skills. To be hired in an expert role, applicants will likely need , though significant experience in these fields may suffice. a computer engineering or computer science degree A variety of shorter are available for those who want a more comprehensive course but not a degree. online certificate programs The level of knowledge an applicant needs depends on the area of focus they are working on getting into. Cybersecurity is a broad term for several different areas of expertise. Areas of focus include incident response, cloud security, forensics, legal, leadership, and more. Once applicants know where they want to be, they can cater their education to foster the skills they may be missing. Networking is a huge part of landing a dream job, and cybersecurity is no exception. Reach out to professionals in the field to get more connections and advice for landing a position. Participating in a hackathon can be very beneficial for applicants wanting to get into coding. Companies tend to use hackathons to determine applicants they are interested in pursuing. Hackathons take place over several days but are not typically longer than a week, and focus on team collaboration for a project that requires some intense coding practice. Applicants will also need to decide where they would like to be, as most government cybersecurity jobs are in Washington, D.C., hosting many more positions. If an applicant is open, they could potentially find a job in any state. with other large cities Embracing Soft Skills For workers seeking a new career, cybersecurity has many opportunities open to them. Embracing the soft skills they have gathered in other positions can be a great launching point for a successful career in cybersecurity. Employers may recognize skills from other fields that have become essential for cybersecurity. Combining these skills with education and certifications will pave the way for a long career in this growing field.

5 Surprising Careers That Can Transition to Cybersecurity

How to Recover from the Log4j Supply Chain Attack with Ilkka Turunen

Find out what it means to be a data scientist at Amazon! Their salaries, roles and required experience, types of data positions, and interview process. Amazon.com, Inc. is the largest internet company in the world, and unique in its focus on the "customers’ desire for lower prices, better selection, and convenient services." Amazon is the world's largest online retailer, and that's in addition to its products in AI Assistant technology, streaming services, and cloud computing. Founded by Jeff Bezos in his garage in 1994, Amazon now has nearly 1.3 million employees across the world, after adding around half a million in 2020 alone. Amazon has over 200 million subscribers on its two-day delivery services, Amazon Prime, as well as over 150 million mobile users on the Amazon app, with the Amazon Marketplace moving more than $300 billion worth of products over the course of 2020. That's not to mention Amazon owning almost half of the world's public cloud infrastructure market through its subsidiary, Amazon Web Services (AWS), through which it earned over $380 billion in net sales revenues. On top of this, all is Amazon's "customer-obsessed" business model, pushing Amazon Data Scientists to leverage its data to create the best experience for all of its users across Amazon's various platforms. Data roles at Amazon do some of the most cutting-edge research in artificial intelligence and machine learning to create forecasts and optimize algorithms for their customers. Find out more information about working at Amazon on their page. Find current open positions . Be sure to also check out Amazon's . Amazon Jobs Amazon data scientist here Career FAQs Amazon Data Scientist Salaries​ Here's a quick overview of the types of data positions at Amazon and their respective salaries, with a comparison to the national average. Total compensation at Amazon also includes health & dental insurance, life insurance, 401k with company match, company RSUs, and bonuses. Check out for a deeper dive on Amazon salaries and benefits. levels.fyi Let's take a look at additional qualifications for these roles. Qualifications for Business Analyst Qualifications for Data Scientist Qualifications for Data Engineer Roles and Required Experience for Amazon Data Scientist, Business Analyst, and Data Engineer Positions​ Types of Data Science Positions at Amazon​ ​Teams of Data Scientists perform a vital function at Amazon, working with Amazon's broad set of products across varying teams and levels across the organization. This includes the entire e-commerce branch of Amazon, as well as other specific product and business areas. Amazon's customer-centric business model means any data role will consistently focus on providing value for the customer. At the same time, the responsibility and focus of a data position can vary depending on the team and department you are hired for. The types of roles include: Business & Marketing The e-commerce branch of Amazon is the most well-known branch of the multinational technology company with millions upon millions of both sellers and buyers. There are 1.9 million active sellers on the Amazon Marketplace, with that number growing by more than a million new users every single year. As the world's largest marketplace, Amazon has data positions working on potential problems at every aspect of the business, from minimizing buyer risk to optimizing the supply chain. A role in Business & Marketing will: Analyze large amounts of data from different parts of the supply chain and their associated business functions Provide actionable measurement solutions and media recommendations that help advertisers understand how media drives customer action Optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, and more Data Engineering With Amazon owning almost half of the world's public cloud infrastructure market, it's only natural that there is a strong need for data positions that focus on building, maintaining, and optimizing their data practices and processes, not to mention the data infrastructure needed for the other products under the Amazon umbrella. Working cross-functionally with a variety of other teams at Amazon, these data engineering teams play a vital role in working with the absolutely enormous amount of data produced by Amazon Web Services. A role in Data Engineering will: Design and deliver big data architectures for experimental and production consumption between scientists and software engineering Create automated alarming and dashboards to monitor data integrity Develop the end-to-end automation of data pipelines, making datasets readily consumable by visualization tools and notification systems Machine Learning That truly outrageous amount of data Amazon has access to gives it all sorts of opportunities to use data-driven insights and solutions to create value for customers from, for example, search results and video and product recommendations. Taking great strides in the realm of machine learning, these teams have an impact on millions of Amazon's users around the world. A data role in Machine Learning will: Design and implement scalable and reliable approaches to support or automate decision making throughout the business Analyze data for trends and input validity, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies Develop cutting edge ML solutions and apply them to data problems at scale Now that you know more about the roles and responsibilities of Amazon data science teams, here's a brief overview of how the interview process works. Outlining the Interview Process of Amazon Data Scientist Position​ Amazon has a fairly standard (if extensive) interview process for the data scientist position, from the initial phone call screening through the hiring manager interview, and finally the full day on-site interview. Online Application & Phone Screening After your online application and resume are submitted, there is an initial screening phone call with a recruiter. This is a short half-hour conversation where the recruiter goes over your resume and experiences, and then briefly explains the role, team, and team's relative position within the . company Technical Screening Next up for the Amazon data scientist position is the technical screen, which will go more in-depth about your data experiences and technical expertise. This will include questions about statistics, coding, algorithms, and product design, with the being done over a shared code editor. data science coding questions Full-Day On-site Interview After passing the technical screen, there is a full-day on-site interview. There will be around 5 interviews split throughout the day, with a lunch break in between. The interviews will have a mix of behavioral and technical questions. Note: the interviews will be virtual and the interview format may vary for the duration of the pandemic. Types of Questions Asked During a Data Science Interview at Amazon​ Behavioral Questions Interviews for the data scientist position at Amazon always include the typical questions about your background and experiences, commonly with many variations of "Tell me about a time where…" Where do you see yourself in 5 years? Describe a time when you had a difference of opinion with your colleagues. Tell me about a time when you had to work with incomplete data or information. We discuss how to approach behavioral questions in an interview here . Be sure to also check out Amazon's 14 Leadership Principles and be prepared to talk about them! Product Sense & Business Cases These questions help gauge your interest in Amazon as a company, as well as your knowledge of Amazon as a business. How would you measure the impact of a business initiative? How would you describe the value proposition of AWS to the CIO of a company? What would you change on the Amazon website? Data Analysis & Coding This portion of the interview tests your coding ability, covering technical details of the code with specific examples. Find the customer with the highest total order cost between a set of dates. Output their first name, the total cost of their items, and the date. ​ Given a table of purchases by date, calculate the month-over-month percentage change in revenue. ​ What is the difference between a linked list and an array? We recommend that you refer to these Amazon Data Scientist Interview Questions ​! Modeling Techniques These questions cover practical applications of your coding ability and how you approach data problems. Don't forget the natural follow-up to any modeling question: "How can you tell that your model is working?" How do you interpret the coefficient in Logistic Regression? If you have a customer and you know where they live, their income, their gender, and their profession, how would you define a machine learning algorithm that predicts whether they will “buy today” or “not buy today”? ​ ​ How does a neural network with one layer and one input and output compare to logistic regression? Quick Tips Amazon takes its very seriously. Take some time to look over (and memorize!) them, and be ready to talk about experiences that showcase how you exhibit those qualities. 14 Leadership Principles Do your research about the role and interview process. (You're here already so that's a good start!) Explain your thought process when doing coding questions. It’s important that your interviewer knows how you approach solving problems. Spend some time to take stock of your skillset and assess what you need to work on, whether it be an area of SQL syntax or your interview skills. Additional Resources Remember to explore Amazon's , and check out Amazon's own page on . Check out our forum of Amazon's Data Science interview questions . We also write blog posts that walk you through how to solve specific interview questions in our series. Be sure to research the most recent interviews and salary information for the role on . also has up-to-date information on salaries and benefits. Career FAQs Interviewing at Amazon here Data Science Interview Questions Glassdoor Levels.fyi Also published here .

Data Scientist Careers at Amazon: What You'll Earn, Learn, and Work On

This may be a big claim, but blockchain is rapidly becoming the most important digital development since the cloud. In its inception, it was used to log the value of and transactions which used cryptocurrency. Since then, it has changed the way we think about storing, accessing and utilising complex sets of data. In the tech sector, companies like to allow clients — with or without a background in coding — to build complex apps and then run them from the cloud. With blockchain as the backbone of this process, thousands of businesses can run millions of apps without a hitch, and without their own servers. Shipping giant tracking to ensure pharmaceuticals move through the supply chain transparently. Each unit of medicine receives a unique tracking code, and as all the units move through the chain from production to delivery, they are tracked. Each new stage generates a verified, unchangeable record, so all involved can see that the life-saving drugs are reaching the patients that need them most. And food behemoths like Dole and Nestle use blockchain to improve food safety. Blockchain records that trusted suppliers, retailers, food regulation bodies and even customers can access allow tainted food products to be identified quickly, and it allows the businesses to discover the source of the problem easily. That means any safety issues can be dealt with immediately, improving public safety. Sparkster are using blockchain DHL uses blockchain The usefulness of blockchain means businesses across sectors are increasingly searching for freelance blockchain developers. Freelancing website recently released its quarterly index of the hottest new job skills, and it was unequivocal in its assessment of the growth of : Upwork blockchain development Its growth exceeded 2,000% for three quarters in a row on Upwork.com, and in Q1 it experienced more than 6,000% year-over-year growth, making it the fastest-growing skill out of more than 5,000 skills on the site. Why has blockchain become so exciting and even necessary? Essentially, blockchain is allowing developers and creative thinkers of all stripes to go back to the digital drawing board. Instead of simply popping patches onto old issues, digital creatives are creating solutions that solve the root problems themselves. This problem-solving approach at the most basic level does several things. It allows for innovative approaches to problems. It makes a real-world impact on traditional business and digital processes. It improves businesses’ efficiency, and it radically changes the status quo. One way blockchain can do this by opening up application building to anyone who can drag an option and drop it in place. Today, drag-and-drop coding software, which uses blockchain as its cloud storage network, allows anyone to create custom digital solutions that can be accessed from anywhere in the world. That means people from all walks of life, with their different perspectives, ideas and approaches to problem-solving, can create digital solutions that those with a technological background might never even think to consider. These new apps will be, by their very nature, disruptive. Take finance, for example. Traditional banks don’t lend out money easily. They need tried-and-tested business models to make them confident that any loans they give out will be repaid. This can be problematic for tech innovators, who are finding ingenious new solutions to problems people don’t even realise they have. On the other hand, many tech investors are so desperate to find a ‘unicorn’ that they will throw money at any seemingly viable business, demanding quick, scalable growth, often without considering whether or not that is best for the business long-term. But if a bank utilised blockchain and crowdfunding, the model could look quite different. This model could see a bank getting money through crowdfunding, rather than through loan repayments and investor capital. The bank could record its loans and investments using blockchain ledgers, creating unprecedented levels of transparency and accountability. The profits would then be returned to the crowdfunders, who could also see where every single one of their pennies is being spent and returned. They in turn could hold bankers to account instantly. Investors and borrowers move closer together and can use blockchain to ensure payments are being made and money is going where it’s supposed to. Blockchain started out as a sophisticated way to ensure no one could cheat the cryptocurrency system by simply copying and pasting their way to a fortune. Today, it has become one of the most promising ways to store and access data across sectors. Its flexibility means it can help businesses of all kinds figure out new uses for all the data they generate. It means they can find holes in their processes and supply chains that they never thought to look for. And it means that with the help of some other businesses’ blockchain storage networks, they can create world-shaking solutions. And considering any business that uses the internet is already generating more data than it can handle, it’s easy to see that very soon every business will want and need a blockchain expert on hand. And that’s going to revolutionise future careers.

How Blockchain is revolutionising careers

Developers never asked for software security to be a part of their jobs, but it’s become abundantly clear that they really don’t have a choice. This isn’t to say that developers are the only party responsible for securing the software supply chain, of course. But particularly, as artificial intelligence (AI) and machine learning (ML) play an increasingly vital role in software development, considering security at the beginning of the software lifecycle has never been more important. As the scale of AI continues to expand and large language models (LLMs) become more common, developers face the responsibility of integrating AI and ML models into both software updates and new software solutions. While the potential for innovation in AI/ML is immense, it also brings along greater concerns, especially considering that many developers lack the capacity to manage their development securely. Understanding the Impact of AI and ML Every organization wants to leverage the power of AI and ML to benefit their businesses, but they need to do so with a full understanding of the risks they may face. For example, security lapses can inadvertently introduce malicious code into AI/ML models, creating vulnerabilities that attackers may exploit. This threat could entice developers to adopt compromised open-source software (OSS) model variants, which would ultimately expose corporate networks and cause significant harm to an organization. Further, developers are increasingly turning to generative AI to produce code, often without full assurance regarding its security. This poses an additional layer of risk, creating a need for thorough code vetting from the outset to proactively mitigate potential threats to the software supply chain. The prevalence of these threats underscores the ongoing challenges faced by startups as malicious attackers look for new avenues to exploit AI/ML models. The deployment of AI and ML models isn’t likely to slow down anytime soon, creating a major reason why developers need to integrate security into their roles and implement the defenses necessary to enhance resilience against evolving security threats. It’s clear that further education is needed — McKinsey found that even many high-performing organizations have yet to master AI adoption best practices, including machine learning operations (MLOps). For a deeper understanding of the impact and implications of AI, startups might first consider building AI- or ML-driven software or solutions to be used by internal teams, as opposed to a customer-facing application. This teaches development teams the best practices of developing for AI/ML and instills confidence in the organization’s ability to deliver. Building for internal use cases in the solutions first helps teams (and businesses) become more efficient and productive. The Ever-Evolving Duties of Developers Modern software development is a dynamic landscape, with potential threats lingering around every corner. This makes considering security from the outset of the development lifecycle a crucial [albeit relatively new] practice for startups. Unfortunately, many organizations consider security at the binary level a perk rather than a "must-have." Attackers realize this and look for vulnerabilities they can exploit to weaponize ML models and other software components. Many developers, particularly in startup environments, may lack the training needed to incorporate security measures during the initial stages of development. To mitigate this, teams may attempt to fast-track development by using AI-generated code, but this can lead to other serious issues. For example, the AI might be trained on open-source repositories that lack thorough vetting for vulnerabilities and complete end-to-end security controls. While this tactic can save time and resources, it could also unwittingly expose the organization to risks that will prove costly down the road. Once implemented in AI/ML models, these vulnerabilities may go undetected and become more impactful. The era of widespread AI adoption has transformed the traditional developer role; junior software engineers often employed by startups may not have sufficient training or experience to navigate the evolving security landscape. As startups build out their teams, they must help their developers evolve into security professionals to support an organization-wide DevSecOps mentality. By integrating secure solutions from the start, developers can achieve peak workflow efficiency while instilling confidence in the organization's overall security posture. Attracting talent is always a challenge for startups, but the current state of the software development landscape could actually serve as a recruiting tool. By helping prospects understand the importance of baking security into software from the beginning of the development process — along with the fact that this is an industry trend that’s not going away soon — businesses create an attractive culture where developers add to their skill sets and eventually help further their careers. Shifting Security Left as a Cultural Mindset The security landscape for binaries and ML models demands continuous evolution to stay ahead of emerging threats, and it's a mindset that should filter down throughout a company's culture. As AI implementation becomes more widespread, startups can't afford to defer necessary security protocols to later stages of the software development lifecycle. By then, the risks may become insurmountable. It has become clear in recent years that startup leaders should embrace the "shift left" mentality for software development, with a proactive emphasis on security from a project's inception. This ensures that every facet of the software development process prioritizes security, enhancing the overarching security posture of the organization. When specifically applied to AI/ML, the shift-left mindset verifies the security of code generated in external AI/ML systems and ensures that the models are devoid of malicious code and comply with licensing requirements. For startups (or any business, really), it's best not to think of shifting security left as a set of operational guidelines and procedures. It’s much more effective when it serves as a philosophy embedded into the organization’s culture. It can't be overstated: implementing security measures from the beginning of the software development lifecycle is imperative for startups to consistently thwart attacks. This ultimately saves businesses the time and resources it takes to address costly and potentially harmful attacks and allows startups to focus on doing what they do best: innovate. Developers never asked for software security to be a part of their jobs, but it’s become abundantly clear that they really don’t have a choice. This isn’t to say that developers are the only party responsible for securing the software supply chain, of course. But particularly, as artificial intelligence (AI) and machine learning (ML) play an increasingly vital role in software development, considering security at the beginning of the software lifecycle has never been more important. only As the scale of AI continues to expand and large language models (LLMs) become more common, developers face the responsibility of integrating AI and ML models into both software updates and new software solutions. While the potential for innovation in AI/ML is immense, it also brings along greater concerns, especially considering that many developers lack the capacity to manage their development securely. Understanding the Impact of AI and ML Understanding the Impact of AI and ML Every organization wants to leverage the power of AI and ML to benefit their businesses, but they need to do so with a full understanding of the risks they may face. For example, security lapses can inadvertently introduce malicious code into AI/ML models, creating vulnerabilities that attackers may exploit. This threat could entice developers to adopt compromised open-source software (OSS) model variants, which would ultimately expose corporate networks and cause significant harm to an organization. Further, developers are increasingly turning to generative AI to produce code, often without full assurance regarding its security. This poses an additional layer of risk, creating a need for thorough code vetting from the outset to proactively mitigate potential threats to the software supply chain. The prevalence of these threats underscores the ongoing challenges faced by startups as malicious attackers look for new avenues to exploit AI/ML models. The deployment of AI and ML models isn’t likely to slow down anytime soon, creating a major reason why developers need to integrate security into their roles and implement the defenses necessary to enhance resilience against evolving security threats. It’s clear that further education is needed — McKinsey found that even many high-performing organizations have yet to master AI adoption best practices , including machine learning operations (MLOps). AI adoption best practices AI adoption best practices For a deeper understanding of the impact and implications of AI, startups might first consider building AI- or ML-driven software or solutions to be used by internal teams, as opposed to a customer-facing application. This teaches development teams the best practices of developing for AI/ML and instills confidence in the organization’s ability to deliver. Building for internal use cases in the solutions first helps teams (and businesses) become more efficient and productive. The Ever-Evolving Duties of Developers The Ever-Evolving Duties of Developers Modern software development is a dynamic landscape, with potential threats lingering around every corner. This makes considering security from the outset of the development lifecycle a crucial [albeit relatively new] practice for startups. Unfortunately, many organizations consider security at the binary level a perk rather than a "must-have." Attackers realize this and look for vulnerabilities they can exploit to weaponize ML models and other software components. Many developers, particularly in startup environments, may lack the training needed to incorporate security measures during the initial stages of development. To mitigate this, teams may attempt to fast-track development by using AI-generated code, but this can lead to other serious issues. For example, the AI might be trained on open-source repositories that lack thorough vetting for vulnerabilities and complete end-to-end security controls. While this tactic can save time and resources, it could also unwittingly expose the organization to risks that will prove costly down the road. Once implemented in AI/ML models, these vulnerabilities may go undetected and become more impactful. The era of widespread AI adoption has transformed the traditional developer role; junior software engineers often employed by startups may not have sufficient training or experience to navigate the evolving security landscape. As startups build out their teams, they must help their developers evolve into security professionals to support an organization-wide DevSecOps mentality. By integrating secure solutions from the start, developers can achieve peak workflow efficiency while instilling confidence in the organization's overall security posture. Attracting talent is always a challenge for startups, but the current state of the software development landscape could actually serve as a recruiting tool. By helping prospects understand the importance of baking security into software from the beginning of the development process — along with the fact that this is an industry trend that’s not going away soon — businesses create an attractive culture where developers add to their skill sets and eventually help further their careers. Shifting Security Left as a Cultural Mindset Shifting Security Left as a Cultural Mindset The security landscape for binaries and ML models demands continuous evolution to stay ahead of emerging threats, and it's a mindset that should filter down throughout a company's culture. As AI implementation becomes more widespread, startups can't afford to defer necessary security protocols to later stages of the software development lifecycle. By then, the risks may become insurmountable. It has become clear in recent years that startup leaders should embrace the "shift left" mentality for software development, with a proactive emphasis on security from a project's inception. This ensures that every facet of the software development process prioritizes security, enhancing the overarching security posture of the organization. When specifically applied to AI/ML, the shift-left mindset verifies the security of code generated in external AI/ML systems and ensures that the models are devoid of malicious code and comply with licensing requirements. For startups (or any business, really), it's best not to think of shifting security left as a set of operational guidelines and procedures. It’s much more effective when it serves as a philosophy embedded into the organization’s culture. It can't be overstated: implementing security measures from the beginning of the software development lifecycle is imperative for startups to consistently thwart attacks. This ultimately saves businesses the time and resources it takes to address costly and potentially harmful attacks and allows startups to focus on doing what they do best: innovate.

It’s Time for Developers to Embrace Security as a Core Job Function

The technology field offers lots of chances for growing your career and improving professionally. Jobs like software engineering and cloud computing let you learn new skills and work with new technologies. But entering the tech industry can be uncertain. In 2023, Statista said that more than 262,000 tech workers worldwide lost their jobs because of economic problems. This makes people wonder if it's smart to pursue a tech career. People also worry about too many others competing for tech jobs, the job market being too full, and tech workers not getting paid enough. But is this really how it is? Does the tech industry still have good opportunities for people who want a satisfying career or to start their own business? This article looks at what the tech industry offers in 2024, including both the good parts and the challenges, especially if you're thinking about starting a tech career. The Tech Landscape in 2024 As you dive into the tech scene in 2024, you'll discover more than just the usual software and IT services. While these are still important, the industry has changed a lot, bringing in new and exciting technologies. One thing to focus on is generative AI. This quickly advancing technology allows machines to make content that looks and sounds human, like written text, code, images, and audio. Companies across industries are harnessing generative AI's potential to ●     Generate new concepts and ideas ●     automate rule-based and repetitive tasks ●     personalize customer experiences via tailored content ●     optimize supply chain processes through demand forecasting and many more Other frontiers you can't afford to overlook are: Spatial Computing This advanced field combines the real and digital realms, creating cool experiences with augmented reality (AR) and virtual reality (VR). Imagine being able to explore distant locations from the comfort of your own home, attend concerts virtually, or visualize complex data in 3D – spatial computing makes all of this possible. Quantum Computing A big step forward in technology is quantum computing. It's one of the new technologies like blockchain that can shake up industries and create new opportunities. People are working on these ideas right now, so there's a chance for those who are ready to try them out. The Backbone of Business Success Today’s world is more digitized than anything we’ve had in the past. As such, the landscape has transformed from who has the most employees to who has the better tech. More companies are increasingly coming to the realization that the quality of their technology setup determines how successful they’ll be. This isn’t really surprising since better tech translates into . smoother operations, better productivity, more personalized customer experiences, and improved business insights Businesses that fail to scale the quality of their technology setup with growing reach and demands end up falling behind the competition. Because of this, companies are always on the lookout for promising talents to add to their teams. This, in turn, means that there is a major demand for tech talents in different areas. So, if you’re looking to get into tech, now would be a good time to use or accelerated training programs to rapidly upskill. tech bootcamps Doing so helps you acquire in-demand tech skills companies are on the lookout for in 2024. So, you’ll be able to seamlessly transition into the new industry without worrying about having problems finding jobs. Opportunities in Tech As the tech industry continues to evolve at a very rapid pace, there is a constant uncovering of new opportunities. Interestingly, these opportunities cut across all experience levels from fresh graduates to more established professionals seeking a career change. High-Demand Tech Careers Many industry reports show that several tech disciplines are experiencing a significant in 2024. If you possess skills in these areas, you'll find yourself in high demand: talent shortage Database Development Businesses need strong databases to handle their growing data. As a database developer, you'll create and maintain these systems to keep data safe and accessible. Network and Cloud Engineering With more people working r , keeping networks and cloud systems running smoothly is crucial. Engineers in this field ensure data moves securely and without interruption. emotely and using cloud services Cybersecurity Protecting digital information from cyber threats is a big deal. Cybersecurity experts keep data safe, set up security measures, and respond quickly to breaches. Software Engineering Whether it's apps or business programs, software is everywhere. As a software engineer, you get to build new products and shape how people interact with technology. Lucrative Career Prospects One great thing about pursuing a career in tech is that the jobs in this industry pay very well. Popular tech disciplines like cyber security and cloud computing come with highly rewarding salaries and other benefits. This is particularly because companies recognize how challenging it is to get experts in these areas. They also recognize the potential dangers associated with a drop in personnel quality. It’s also important to mention that the variability of jobs in tech is very large. Not everyone has to become a cybersecurity analyst or cloud computing engineer. Instead, there are also other cool jobs like: ● Help desk support ● Business intelligence ● Data scientist ●  Application architecture. So, regardless of your personal preferences, you’ll always be able to find something that suits your unique set of skills. Dealing With Tech Transitioning Challenges Entering the tech sector opens doors to promising opportunities, yet it also presents distinct challenges that aspiring professionals must adeptly address. These challenges include: Breaking Into a Competitive Landscape Entering the tech job market can be daunting due to its high competitiveness. Despite a limited talent pool, the demand for skilled workers is substantial. Securing your initial role in the industry can pose challenges, particularly without relevant experience or education. To ensure you get to Acquiring Specialized Skills There is no questioning the fact that tech jobs pay very well. However, this is mainly because they require a highly specialized set of skills. Breaking into tech means you’ll need to master different coding languages, have an in-depth understanding of software development processes, and so on. There’s also the fact that updates in this space come frequently. Because of this, you solely bear the responsibility for ensuring continuous skill improvement. If you don't make sure to continually increase your knowledge, you’ll become obsolete in no time. Building a Professional Network Your network plays a huge part in how far you go and how successful you are in tech. However, building a robust professional network requires a lot of effort, especially for newcomers in the space. You’ll need to regularly attend events where you can meet people, connect with others online, and so on. However, it should be said that having a tech mentor could be a significant boon in this aspect. The Career Shift Problem If you’re trying to transition into tech from a non-tech background, you’ll face some unique challenges. Chief of this is convincing potential employers of your skills, passion, and suitability for the job. Impact of AI Automation Another significant challenge of transitioning into tech that has emerged in recent times is the issue of AI automation. Already, there are AI tools that are more than capable of performing some tech-related functions. As such, there is an increasing fear of losing relevance and job displacement. However, it should be said that most tech jobs at risk of AI replacement are those with high levels of automation. So, if you really want your transition into tech to be successful, you should focus on things AI can’t really do like strategic thinking. Alternatively, you could cut right to the heart of it and specialize in areas like and machine learning. This will help you ensure you remain relevant regardless of whatever changes occur. AI development for enterprise How to Excel in the Tech Landscape Based on the above, it could seem like making it in tech is a difficult task. However, the reality is this dynamic industry is only challenging to navigate if you don’t know what to do. So here are some steps on how to ensure a successful career in tech: #1. What Are Your Interests and Aspirations? Succeeding in tech involves a great deal of playing to your strengths. As such, before you choose what area of tech to specialize in, you need to consider your current strengths. You’ll also need to look at the big picture. This means you should think about how satisfactory or appealing the area of tech you’re considering will be 5 or 10 years down the line. This will guide you towards ensuring you make the right choice. #2. Explore Your Learning Options Once you’ve determined what area of them you want to specialize in, the next thing is to choose a learning pathway. These days, you don’t need to have a traditional degree in computer science or engineering to land a tech job. There are lots of other options like courses on learning platforms like Coursera or other boot camps. Still, you’ll need to decide if you want to take the traditional approach or if you prefer expedited training. #3. Build Connections With Other Professionals For other industries, you may be able to get away with not networking with other professionals. However, in tech, the game is a lot different. Networking plays a very vital role in determining how successful your career will turn out to be. So, it’s essential you prioritize attending local events and joining online communities. It’s also vital that you actively look for someone to mentor you in your chosen path. A mentor can help you unlock job prospects and provide valuable insights you won’t get anywhere else. #4. Don’t Stop Learning Tech is a very dynamic field. This means that skills that are highly celebrated one day could become obsolete the next. As such, people who want to have long-lasting careers in the industry have to be devoted to continuous learning. Continual upskilling helps you remain relevant and even opens up doors for career advancement. The trick to having a long, satisfactory tech career is to never be too comfortable with what you know. There’s always something new out there, and learning it could give you a vital edge. #5. Stay Informed One key thing about the tech industry is that trends are always shifting. Your ability to quickly learn about and adapt to each trend will ultimately determine how successful you’ll be. To stay ahead of the curve, make sure you attend conferences, subscribe to relevant publications, and so on. Conclusion Getting into tech can be a very rewarding decision. The opportunities here are practically limitless and very rewarding. However, only people who approach their tech transition strategically and proactively get to succeed in this dynamic landscape. Adaptability and your ability to stay informed also significantly contributes to how successful your tech career will be.

Tech in 2024: Navigating Opportunities and Challenges – Is It Still Worth Venturing In?

Last year, with inflation squeezing wallets, households and individuals reduced their spend on non-essentials, and gaming companies felt the pinch. Add to this, a return to ordinary life post-pandemic and supply chain issues leading to delayed launches, and you have a perfect storm for an entire industry. 2023’s big shift However, things have changed dramatically. In 2023, some key releases helped buoy up hardware and game sales in the U.S., which were up . 10% year-on-year by the end of September Widely reported is how Starfield boosted Xbox Series X sales by over 1,000% on , and Nintendo’s revenue surged 50% after the May release of the much-anticipated . Amazon The Legend of Zelda: Tears of the Kingdom More recently in October, exclusive PS5 title sold over 2.5 million units in its first 24 hours, making it the fastest-selling PlayStation Studios game in PlayStation history. Spider-Man 2 Optimism is in the air. Accelerate your career in tech today via the HackerNoon Job Board The 2024 rebound This positive trend is also predicted to be echoed across consumer spending in mobile gaming, which is estimated to rebound 4% to $111.4 billion in 2024, close to the COVID-era highs of $115.8 billion. That’s according to , which combines consumer and market data and provides insights powered by AI. a new report from Data.ai It predicts the U.S. to be the largest driver of spending growth in 2023, accounting for 40% of aggregate year-on-year spend. This is followed by Japan, South Korea, Taiwan, Germany and the UK. Looking at genres, it flags RPG, Match, Party, and Casino categories as fueling the most spending in 2024, and overall paints a positive picture for the industry resuming a more moderate growth trajectory, similar to pre-COVID times. Investors have been watching gaming start-ups closely too. While VC investment in all tech has fallen dramatically since the highs of 2020 and 2021, track to exceed 2019’s $3.7 billion by the end of 2023. In Q3 of 2023, Microsoft cleared its acquisition of Activision Blizzard, while in 2024, the new iPhone Pro 15 model will introduce AAA games including e and , and Netflix is launching cloud gaming on its platform in the U.S. gaming start-ups are on Assassin’s Creed Mirag Resident Evil Savvy job hunters are looking at both new and established gaming companies, which are hiring for key roles in 2024, like these three from the . HackerNoon Job Board Software Engineer II, Electronic Arts, Orlando Gaming giant Electronic Arts is hiring for a highly collaborative , who can help the organization push its mobile games to the next level. This hybrid role is based out of Orlando and involves working on technical solutions covering main aspects of game development, driving features, optimizations, tools, and technologies, collaborating with other domain owners to integrate and develop features and technologies, and providing feedback, guidance, and solutions for improvements in an agile environment. Proficiency in C++ and Java, and at least two years of software development experience is required, as is confidence in multi-threaded programming, job systems, and debugging, plus memory management, multiple processor use, and run-time optimization. If you have a Bachelor’s degree or higher in computer science or a related field, or equivalent professional experience, . Software Engineer apply today Sr. Software Engineer, Fanatics, Los Angeles Leading global digital sports platform Fanatics is hiring a as the company builds its Sportsbook and iGaming platform. The successful candidate will craft intuitive and efficient interfaces, as well as scalable backend services that cater to the unique needs of the collectibles industry. By collaborating with cross-functional teams, you’ll deliver cutting-edge solutions enabling the organization to stay at the forefront of innovation. A bachelor’s degree in computer science or computer engineering is required, as is at least two years’ experience in AWS, over five years’ experience in CI/CD frameworks and implementing developmental best practices, and front-end development, plus over three years’  in back-end API development. So if you’re exceptional in HTML, CSS, JS and proficient in Python and SQL, . Senior Software Engineer this could be the right fit for you Product Designer - CapCut, ByteDance, San Jose CapCut is an all-in-one video editing app that gives its users a chance to express themselves with basic features like text, stickers, filters, colors and music, plus more advanced features like keyframe animation, smooth slow-motion effects, chroma key, Picture-in-Picture (PIP), and stabilization. Part of the ByteDance group, yes the ones behind TikTok, Help and Resso, the organization is hiring for a to build a U.S. design team, act as a localization specialist, lead research projects and mentor junior designers. The ideal candidate will have a bachelor’s degree or above, great communications skills, an open-mind and a global vision, as well as over three years experience designing UX for tool products across mobile and web, and experience with market research, and user interview and product usability testing. . Product Designer See more here - By Amanda Kavanagh

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