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.
Top Skills for Tech Recruiters to Look For
Explore top LinkedIn content from expert professionals.
Summary
Tech recruiters should focus on identifying candidates with a mix of technical expertise, problem-solving abilities, and adaptability to thrive in today’s rapidly evolving technology landscape.
- Prioritize AI and cloud skills: Look for expertise in AI tools, cloud-native platforms, and automation frameworks, as these are increasingly critical for companies building scalable and innovative solutions.
- Seek cybersecurity expertise: Candidates with skills in securing networks, managing vulnerabilities, or handling cloud security bring immense value in protecting sensitive data and reducing risks.
- Value adaptability and collaboration: Beyond technical know-how, prioritize individuals who can adapt to change, work with cross-functional teams, and contribute to developing efficient, scalable systems.
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Powering Your Career with Cloud-Native Skills In today's rapidly evolving tech landscape, cloud-native skills are not just nice-to-have – they're essential. 𝗪𝗵𝘆 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲? Scalability: Easily adapt to changing demands Security: Built-in best practices for data protection Flexibility: Adapt resources to match exact needs, potentially optimizing costs Agility: Faster deployment and updates Top Cloud-Native Skills to Develop: 1. Containerization (Docker, Kubernetes) - Package and run applications consistently across environments 2. Infrastructure as Code (Terraform, CloudFormation) - Automate infrastructure provisioning and management 3. CI/CD Pipelines (Jenkins, GitLab CI, GitHub Actions) - Streamline software delivery and deployment processes 4. Observability & Monitoring (Prometheus, Grafana) - Gain insights into application performance and health 5. Cloud Security - Implement best practices for securing cloud-native applications 6. Serverless Computing (AWS Lambda, Azure Functions) - Build and run applications without managing servers 7. Microservices Architecture - Design scalable and maintainable distributed systems 8. Cloud Databases (Amazon DynamoDB, Google Cloud Spanner) - Leverage managed database services for scalability and performance Investing in these skills can open doors to exciting opportunities in cloud engineering, DevOps, and platform development roles. Which of these skills are you currently focusing on? Any others you'd add to the list?
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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?