If you want to land a $100k+ remote job offer as a software engineer in 2025, I would 100% suggest you invest your time in these technologies (based on my experience from the last 15+ years). 1/AI agents are the hottest thing right now - half of SF is building agent startups, why? Because they’re the closest thing to AI automation before AGI. - think of them as LLMs that make decisions, automate workflows, and interact with real-world apps (Gmail, WhatsApp, databases). - startups are racing to build voice agents, chatbot-based automation, and AI-driven assistants and they need engineers who know how to integrate LLMs with real-world APIs. - learn LangChain, OpenAI API, and automation frameworks to get into this space. 2/ Browser automation is the secret weapon for AI companies - Many AI companies need their models to control and interact with websites, booking flights, scraping data, handling forms. - Startups like Induced AI and Browserless are being built purely to automate browser interactions. - If you learn Selenium, Playwright, and Puppeteer, you can land jobs in AI companies that need large-scale browser automation for their systems. 3/ Vs code extensions and developer tools are printing money - AI-powered developer tools are booming, Cursor, Cody, and Devika are at billion-dollar valuations. - Understanding how VS Code works under the hood, how to build extensions, and how to index and parse large codebases efficiently is a valuable skill. - Want to future-proof your skills? Learn how to build AI-powered coding assistants or improve existing developer workflows. 4/DevOps and cybersecurity will never go out of demand - Every company hitting scale needs DevOps engineers to optimize cloud costs, monitor infrastructure, and automate CI/CD. - Good DevOps engineers are rare, and companies pay massive salaries for experts who can save them millions on AWS bills. - Cybersecurity is another evergreen skill. Even AI-written code will have security vulnerabilities. If you understand penetration testing, bug bounties, and infrastructure security, you will always be in demand. 5/ AI image and video generation will only grow -Companies like Runway, Ideogram, and Midjourney are disrupting design, media, and content generation. - Learning diffusion models, LLM-based video generation, and AI-powered media tools will put you in one of the fastest-growing industries. - This is a difficult field to break into, but if you can build AI-powered media tools, you’ll be ahead of 99% of developers. Pick a field, go deep, and build real things. AI is making engineers 10x more productive, which means companies are hiring fewer, but better engineers. Don’t just learn—show proof of work.
Key Software Development Skills Employers Are Seeking
Explore top LinkedIn content from expert professionals.
Summary
Staying competitive in software development requires mastering in-demand skills that align with employer needs in a rapidly changing tech landscape.
- Focus on AI integration: Develop expertise in tools like LangChain or OpenAI API to build systems that automate workflows, interact with real-world applications, and showcase your adaptability to cutting-edge AI trends.
- Refine system design skills: Learn to create scalable, modular systems by breaking down complex problems into APIs, databases, and client-server models for efficient and reliable architecture.
- Strengthen cloud and cybersecurity knowledge: Gain experience with platforms like AWS or Google Cloud while staying updated on cybersecurity practices to address growing demand for secure and scalable solutions.
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Want to land a job at #Google, #Amazon, #Apple or any MAANG company? It takes more than just talent, it takes preparation, consistency, and mastering the right set of skills. Here is a breakdown of the 10 essential skills you need to focus on: 1. Problem solving & DSA Master core data structures and patterns like Two Pointers and Recursion. Solve 250–300 quality problems and deeply understand time-space tradeoffs. 2. System design (LLD + HLD) Learn to build scalable systems and break problems into modular components like APIs, DBs, and client-server flows. 3. Object-oriented programming (OOP) Understand Abstraction, Inheritance, and SOLID principles. Practice by modeling real-world systems and justifying your class design. 4. Coding speed & accuracy Build clean solutions under time pressure. Reduce bugs by practicing edge cases and reviewing failed attempts. 5. Behavioral interview readiness Craft structured stories that reflect leadership and impact. Align with company values and practice mock interviews. 6. Version control (Git/GitHub) Learn Git commands, work with branches, pull requests, and write clear commit messages to show team collaboration. 7. SQL & data querying Write optimized queries using JOINs and GROUP BY. Understand indexing and how SQL supports backend systems. 8. CS fundamentals Brush up on OS, DBMS, and Networking concepts. These are frequently tested in interviews and system design rounds. 9. Communication & collaboration Explain your thought process clearly. Practice pair programming and asking clarifying questions—MAANG teams rely on global collaboration. 10. Project depth & impact Build 2–3 impactful projects. Highlight real-world value, document them well, and prepare to dive deep into the design during interviews. ✅ Consistency beats brilliance. Start mastering these skills one by one, and you will be surprised how fast you close the gap. Everyone Who Codes (EWC) has a simple mission: to guide engineers to find a job! ♻️ Share to benefit others! #DSA #systemdesign #softwareengineering #techjobs #interviews #backend #softwareengineer #softwaredeveloper #MAANG #2ndtier #hiring #jobsearch
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The tech industry is evolving fast. What was a "must-have" skill five years ago is not enough today. If you’re looking to start or grow your career in tech, focusing on the right skills makes all the difference. Here are five skills that companies are actively hiring for right now: 1. AI & Machine Learning: AI is no longer optional. Businesses are investing heavily in AI-driven solutions, and professionals who can work with models, fine-tune algorithms, or integrate AI into products are in high demand. 2. Cloud Computing: Most companies are moving their infrastructure to the cloud. Whether it’s AWS, Azure, or Google Cloud, understanding cloud services, architecture, and security opens doors to high-paying roles. 3. Cybersecurity: With data breaches happening daily, security is a top priority. Companies are looking for people who can secure networks, protect sensitive data, and mitigate risks. 4. DevOps & Automation: Tech teams want speed and reliability. If you know how to automate deployments, manage CI/CD pipelines, or work with containerization tools like Docker & Kubernetes, you bring serious value. 5. System Design & Scalable Architecture: Coding is essential, but understanding how to build scalable, efficient, and resilient systems is what sets senior engineers apart. This skill is key for anyone aiming for leadership roles. Technical knowledge alone isn't enough. The ability to adapt, problem-solve, and think strategically is what truly builds a lasting career in tech. Which of these skills are you focusing on? Or do you think another skill should be on this list?