When you need to source software engineers quickly ProgAI can help. Not just a list of candidates to present to your hiring manager, but candidates with the skills that match the role and will likely move. Our Likely-to-Move™ Score helps you know this. This smart feature predicts how likely a software engineer is to switch jobs, based on over 20 different market signals. You get to target the right candidates. You are no longer For HR teams... They can spot engineers likely to leave their roles and take action to keep their best performers on board. Ready to see how it works?
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I just wrote a guide about the different levels of software engineering roles. It explains: 🔑 the responsibilities, ⚙ technical knowledge, 👥 and soft skills needed at each level. This guide might be useful for new engineers to understand what is expected of them and for tech recruiters to find the right people. 🌟 Check it out here ⬇
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⚡ NEW BLOG ⚡ The UK's Software Engineering Revolution: High Salaries, Hot Skills, and Unmatched Opportunities Introducing our latest blog from Ryan Fleury! Ryan explores the dynamic UK software engineering landscape, focusing on: 💰 High Salaries 🔥 Hot Skills 🌟 Unmatched Opportunities Ryan's blog offers valuable insights for aspiring and seasoned software engineers. 💻 Read the full blog here 👉 https://lnkd.in/gZuAnbah 👈 and join the discussion on contributing to this exciting revolution! #SoftwareEngineering #TechTrends #CareerGrowth #UKTech #Innovation #HighSalaries #InDemandSkills #CareerOpportunities #BlogPost #londonsoftwareengineers #wearecoretalent #softwareengineeringjobs #embeddedsoftwarejobs
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The software engineering job market in 2024 presents a complex landscape with both significant challenges and opportunities. On one hand, the current market is described as "brutal" for junior to mid-level engineers, with intense competition for limited positions. This situation arose due to the rapid influx of new talent into the industry following the "Golden Era" of tech in the 2010s, combined with economic factors and the emergence of AI technologies. However, the video also highlights several positive aspects of the current market. Despite the difficulties, companies are still actively hiring, with notable examples including major tech giants like Meta and Google. Additionally, various industries beyond traditional tech sectors are experiencing growth and seeking skilled software engineers. The author argues that AI, while presenting challenges, will not completely replace human engineers but rather augment their capabilities, potentially leading to increased productivity and job opportunities. The video encourages aspiring engineers to focus on personal development, networking, and preparation rather than worrying about external factors beyond their control. It emphasizes the importance of maintaining a long-term perspective in the evolving tech landscape. Overall, while the market has become more competitive and challenging to enter, software engineering remains a promising career path with high potential rewards. The author concludes by suggesting that the current state of the industry is now more akin to a typical career with pros and cons, offering good compensation and work-life balance despite the difficulties in entry. They still recommend software engineering as an excellent career choice for those seeking a well-paying profession with great prospects, even given the current challenges in the job market. https://lnkd.in/dDEHt5TD
My Honest Thoughts On The Software Engineering Market In 2024
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Worth a look: How software engineers create value (https://lnkd.in/gs66mHpN)
How software engineers create value
softwareleads.substack.com
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The field of software engineering is poised for significant growth, with the U.S. Bureau of Labor Statistics projecting an impressive 162,900 job openings by 2024. This anticipated expansion is fueled by technological advancements that continue to weave a more connected, digital fabric across various sectors. As our world becomes increasingly reliant on technology, the demand for skilled software engineers surges, creating abundant opportunities in an ever-evolving landscape. Why, then, would one consider a career in software engineering? The answer lies in the challenging nature of the work, the global opportunities it presents, the potential for lucrative salaries, and the chance to develop foundational technologies that will shape the future. Read more on AIDOOS at:https:https://lnkd.in/gdGepUuc
Discover 10 Highest Paying Software Jobs of 2024
aidoos.com
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The software engineering industry has seen significant changes from 2022 to 2024, including job market shifts, VC funding declines, and evolving engineering practices amid rising interest rates. Thanks Gergely Orosz (The Pragmatic Engineer) for the Key Insights : 📊 Competitive Job Market: The competitive landscape for tech jobs is intensifying, with many applicants vying for fewer positions, necessitating a proactive job search approach. The tech job market has become competitive, with fewer openings and more applicants. 💰 Financial Strain: The decline in VC funding and IPOs reflects a shift in investor sentiment, urging startups to prioritize profitability over growth at any cost. Venture capital investment has declined significantly since 2021 indicating market caution. 📉 Reduced Promotion Opportunities: As hiring slows, fewer promotions are available, prompting engineers to seek new ways to advance their careers within existing roles. ⚙️ Shift to Stability: Companies are increasingly opting for well-established technologies to reduce risks and streamline operations, favouring stability over novelty. Companies are shifting towards using more “boring” technologies for efficiency. 💡 Embrace AI Tools: Developers should leverage AI tools to enhance their efficiency, understanding that these tools serve as assistants rather than replacements. These tools are enhancing developer productivity. 🧠 Business Acumen: Software engineers must cultivate a strong understanding of their company’s business model to remain valuable in a shifting job landscape. 🔄 Historical Context: The industry is experiencing a cycle reminiscent of the dot-com bust. Learning from past tech industry downturns can provide valuable insights into navigating current challenges and preparing for future shifts. Video : https://lnkd.in/gYGFn-Qp Article : https://lnkd.in/gYDjTfA6
The software engineering industry in 2024: what changed in 2 years, why, and what is next
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I've been looking at this: How software engineers create value (https://lnkd.in/gs66mHpN)
How software engineers create value
softwareleads.substack.com
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The second hardest part of being a software engineer is being able to estimate correctly. The hardest part is convincing upper management having unrealistic timelines. When it comes to automating manual work, more often than not it takes more time to automate in a streamlined repeatable process than it will take to do it manually, especially when dealing with excel files having unclean data. Today, while dealing with data having questions - answer pairs, question being "how many X do you see in a month", the unique options were, 0, "0-5", 10 June 2024, 20 November 2024, ">20" We have 3 data types when we expect only one. #estimate #peopleskills #data #automation
Software engineers: “This won't take long to implement”. Also, Software engineers: Spending late nights amped up on caffeine to meet the deadline because of a wrong estimate. As a software engineer, if you ever find yourself thinking, "This won't take long to implement," pause and reconsider. 📨 You're likely underestimating the complexity of the task. What seems like a quick 10-minute job can easily spiral into something that takes 10 days or more. I've seen too many engineers burn the midnight oil because of poor time estimates. ☠ This leads to stress, burnout, and a loss of confidence in their ability to gauge task scope accurately. ☠ This can also affect overall productivity and reduce the willingness to tackle challenging assignments. ⛑ So next time you think, "This won’t take long," take a moment to estimate carefully. It's worth the extra time to get it right. What's your experience with estimates that went wrong?
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Estimating project timelines is one of my biggest challenges. It’s difficult to anticipate every roadblock and obstacle, especially when dealing with new phases of a project or unfamiliar challenges.
Software engineers: “This won't take long to implement”. Also, Software engineers: Spending late nights amped up on caffeine to meet the deadline because of a wrong estimate. As a software engineer, if you ever find yourself thinking, "This won't take long to implement," pause and reconsider. 📨 You're likely underestimating the complexity of the task. What seems like a quick 10-minute job can easily spiral into something that takes 10 days or more. I've seen too many engineers burn the midnight oil because of poor time estimates. ☠ This leads to stress, burnout, and a loss of confidence in their ability to gauge task scope accurately. ☠ This can also affect overall productivity and reduce the willingness to tackle challenging assignments. ⛑ So next time you think, "This won’t take long," take a moment to estimate carefully. It's worth the extra time to get it right. What's your experience with estimates that went wrong?
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As an estimator in my day to day, I see the estimates spiral when requirements and priorities are not fully divulged. With the many application teams that we interface with, your estimate can be busted as soon as one variable shifts that creates a domino effect. I’m one to add buffer to estimations and give the “worst case scenario” based on complexity, but, consider if work limits and priorities are not provided, you could end up hurting your estimate with the context switching alone if you have your engineer working on too many things at once.
Software engineers: “This won't take long to implement”. Also, Software engineers: Spending late nights amped up on caffeine to meet the deadline because of a wrong estimate. As a software engineer, if you ever find yourself thinking, "This won't take long to implement," pause and reconsider. 📨 You're likely underestimating the complexity of the task. What seems like a quick 10-minute job can easily spiral into something that takes 10 days or more. I've seen too many engineers burn the midnight oil because of poor time estimates. ☠ This leads to stress, burnout, and a loss of confidence in their ability to gauge task scope accurately. ☠ This can also affect overall productivity and reduce the willingness to tackle challenging assignments. ⛑ So next time you think, "This won’t take long," take a moment to estimate carefully. It's worth the extra time to get it right. What's your experience with estimates that went wrong?
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