Global insights on Software Engineering, AI and Devops job openings - April 2026
Total: 128,962, Remote: 8,578, On-site: 120,384.
Specializations
Demand skews toward broad business application and core software engineering roles, with business software applications clearly leading and generalist engineering close behind. Within engineering, specialization centers on Java and backend stacks, with sizeable need for full‑stack and frontend talent, and a solid market for QA/testing that signals mature delivery pipelines. Machine learning and AI engineering form a substantial but smaller tier, suggesting selective growth rather than mass hiring. Solution architecture sits mid‑pack, reflecting demand for senior design and integration skills alongside IC roles. Overall, the market favors pragmatic product delivery skills, with AI and architecture as focused complements rather than volume drivers.
- business-software-applications: 32,425
- software-engineering: 24,791
- machine-learning-and-ai-engineering: 10,175
- full-stack-software-engineering: 7,774
- backend-engineer: 7,540
- java-software-engineering: 7,428
- software-quality-assurance-and-testing: 6,438
- solution-architecture: 6,023
- frontend-software-engineering: 5,630
- java-backend-development: 5,594
In Demand Skills
In-demand skills cluster tightly around modern software delivery and cloud-native engineering. CI/CD leads and pairs with DevOps, Jenkins, Terraform, Docker, and Kubernetes, signaling heavy emphasis on automated pipelines, containerization, and infrastructure-as-code. Cloud breadth is critical: AWS edges out Azure and GCP, so multi-cloud fluency is a differentiator. Core programming remains vital, with Python strong across data and automation, and Java prevalent for enterprise and microservices; JavaScript/TypeScript with React reflect sustained full‑stack needs. Backend interoperability and scalability matter, highlighted by REST APIs, Linux, and distributed systems expertise, while SQL and data analysis add analytical rigor to engineering roles. Overall, employers want engineers who can design, build, and run scalable services end-to-end in cloud environments with robust automation and reliability practices.
- CI/CD: 23,388
- Spring: 5,400
- Python: 18,939
- PostgreSQL: 4,843
- AWS: 18,936
- Angular: 4,730
- DevOps: 16,459
- .NET: 4,356
- Java: 15,897
- Node.js: 4,091
- Azure: 14,984
- CSS: 3,843
- SQL: 13,239
- SRE: 3,708
- Kubernetes: 12,528
- Kafka: 3,706
- GCP: 12,029
- Spring Boot: 3,685
- React: 9,686
- HTML: 3,485
- Docker: 9,457
- GitHub Actions: 3,261
- JavaScript: 9,034
- Ansible: 3,088
- Microservices: 7,825
- PyTorch: 3,047
- Linux: 7,714
- System Design: 3,041
- TypeScript: 7,298
- NoSQL: 2,773
- REST API: 6,831
- Android: 2,554
- Terraform: 6,441
- MySQL: 2,462
- Jenkins: 6,249
- TensorFlow: 2,372
- Data Analysis: 5,747
- Bash: 2,296
- Distributed Systems: 5,648
- ETL: 2,093
Ai Skill Signals
AI skills are showing deep market penetration with a broad base in generic AI and fast-rising specialization in LLMs and generative AI. The ecosystem is maturing beyond model use into workflow integration: RAG, copilot tooling, and prompt engineering signal hands-on, production-oriented adoption. Vendor- and pattern-specific signals (OpenAI, Claude, agentic frameworks/patterns) indicate practitioners are moving from experimentation to orchestrated, multi-tool systems. Overall, demand clusters around building reliable, user-facing AI features and retrieval-augmented inference, with agentic approaches emerging as the next differentiator for complex automation and enterprise-grade copilots.
- AI (generic): 33,013
- LLMs: 6,796
- Generative AI: 5,556
- RAG: 2,080
- Copilot: 1,549
- Prompt engineering: 1,466
- OpenAI: 1,282
- Claude: 1,117
- Agentic frameworks: 1,061
- Agentic patterns: 752
Seniority Levels
The market skews experienced: mid-level roles dominate, followed closely by senior positions, indicating employers prioritize proven contributors over early-career hires. Entry-level and intern opportunities form a much smaller slice, suggesting tighter funnels for newcomers and a reliance on developing talent through selective internships. Overall, the ladder is top-heavy, with mid and senior tracks carrying most demand, while pipelines for juniors exist but are comparatively constrained.
- Mid Level: 60,325
- Senior: 53,092
- Entry Level: 10,877
- Intern: 4,668
Geographic Hotspots
Hiring is heavily concentrated in India’s tech hubs, led by Bengaluru, with strong followings in Pune, Hyderabad, and Chennai; remote roles across India add a broad national layer. In the US, remote positions are substantial and pair with dense coastal clusters: the San Francisco Bay Area is the top metro, followed by New York, Seattle, and Washington DC, with healthy activity across Dallas–Fort Worth, Boston, Los Angeles, Austin, Chicago, and Atlanta. Outside these, London and Toronto stand out as leading international nodes. Overall, India anchors volume, while US demand is split between remote and major metros, with notable secondary strength in Canada and the UK.
- Bengaluru, 19, IN: 9,165
- United States, 00, US: 7,054
- Pune, 16, IN: 4,351
- Hyderabad, 40, IN: 3,911
- New York City, NY, US: 2,521
- Chennai, 25, IN: 2,104
- San Francisco, CA, US: 2,093
- London, ENG, GB: 1,957
- Republic of India, 00, IN: 1,663
- Toronto, 08, CA: 1,547
US Metro Totals
- San Francisco Bay Area: 6,319
- New York Metro: 2,889
- Seattle Metro: 1,685
- Washington DC Metro: 1,575
- Dallas-Fort Worth Metro: 1,194
- Boston Metro: 1,129
- Los Angeles Metro: 1,035
- Austin Metro: 896
- Chicago Metro: 889
- Atlanta Metro: 859