Global insights on Software Engineering, AI and Devops job openings - July 2026

Total: 184,710, Remote: 19,447, On-site: 165,263.

Specializations

Our coverage of current job openings across the globe (excluding China) reveals that the demand for technology professionals is distributed across a variety of specializations. Business software applications and data engineering feature most prominently, each attracting thousands of listings. Full-stack and general software roles, as well as positions in software and technology leadership—which comprise both management and high-level individual contributor tracks—are also widely represented. Data-oriented fields maintain a strong presence, with notable opportunities in both data engineering and broader data analytics work. Machine learning and AI roles, while distinct from pure data analysis, make up a significant segment as well. Among core engineering categories, backend and frontend expertise, along with language-specific roles like Java engineering, offer a range of options for practitioners, though these categories comprise somewhat fewer listings compared to broader or more generalist specialties. Overall, current postings reflect a robust interest in both foundational software development and more specialized data or machine intelligence skills.

• Business Software Applications: 34,487
• Data Engineering: 33,336
• Full-Stack & General Software: 29,957
• Software & Technology Leadership: 24,070
• Data & Analytics: 14,792
• Machine Learning & AI: 14,426
• Backend Engineer: 10,621
• Full Stack Engineering: 10,244
• Java Engineering: 8,513
• Frontend & Web Engineering: 7,230

In Demand Skills

Our coverage of job openings across the globe (excluding China) highlights current demand for a range of technical skills. Snapshot data shows that Python is cited most frequently among in-demand competencies, with CI/CD, AWS, SQL, DevOps, and Java also appearing in a large volume of postings. Employers are consistently looking for expertise in major cloud platforms, programming languages, and core software development practices. Tools like Kubernetes, Docker, and Terraform, as well as frameworks and technologies such as React, TypeScript, and Spring, also rank high in employer requirements. Proficiency in areas like data analysis, microservices, and distributed systems is widely sought after, reflecting the complex and evolving nature of today’s technology roles.

• Python: 21,224
• PostgreSQL: 4,492
• CI/CD: 19,402
• ETL: 4,424
• AWS: 17,807
• Jenkins: 4,244
• SQL: 15,053
• Node.js: 4,036
• DevOps: 14,503
• SRE: 3,939
• Java: 14,269
• Angular: 3,814
• Azure: 13,061
• .NET: 3,683
• GCP: 10,871
• Snowflake: 3,602
• Kubernetes: 10,690
• Kafka: 3,512
• React: 9,770
• Spark: 3,264
• Data Analysis: 7,945
• Data Modeling: 3,191
• TypeScript: 7,740
• Spring Boot: 3,168
• Docker: 7,571
• PyTorch: 3,030
• JavaScript: 7,119
• System Design: 2,938
• Microservices: 6,434
• CSS: 2,804
• Distributed Systems: 6,223
• Power BI: 2,591
• Linux: 6,207
• NoSQL: 2,528
• REST API: 5,635
• Android: 2,471
• Terraform: 5,449
• HTML: 2,328
• Spring: 4,727
• GitHub Actions: 2,294

AI Skill signals

Our coverage of job openings across the globe (excluding China) shows robust demand for roles referencing AI skills in their postings. Currently, generic AI skills feature most prominently, with tens of thousands of opportunities, while more specialized requirements, such as expertise with large language models, generative AI techniques, retrieval-augmented generation (RAG), or prompt engineering, appear in a smaller but still notable share of listings. Specific technologies and products—like Claude, OpenAI, Copilot, and agentic frameworks—are also sought after, though to a lesser extent, suggesting employers recognize and value specialized capabilities alongside broader AI competencies. This current posting snapshot highlights how the market for AI talent continues to diversify, with a clear emphasis on both foundational skills and targeted technical knowledge.

• AI (generic): 44,229
• LLMs: 7,880
• Generative AI: 5,575
• RAG: 2,269
• Claude: 1,655
• Prompt engineering: 1,552
• OpenAI: 1,448
• Copilot: 1,432
• Agentic patterns: 1,041
• Agentic frameworks: 980

Seniority Levels

Our coverage of job openings across the globe (excluding China) reveals that most current postings are concentrated in mid-level and senior roles. Mid-level opportunities slightly outnumber those at the senior level, while entry-level and internship postings are far less prevalent by comparison. This snapshot suggests that organizations are currently prioritizing talent with established experience over those at the very start of their careers.

• Mid Level: 89,032
• Senior: 78,019
• Entry Level: 14,113
• Intern: 3,546

Geographic Hotspots

Our coverage of job openings across the globe excluding China reveals several concentrated hotspots in the current posting snapshot. Remote positions based in the US represent the largest cluster, followed closely by major Indian cities such as Bengaluru and Hyderabad, which also report significant roles, both on-site and remote. Within the United States, the San Francisco Bay Area and New York metro regions are among the most prominent for on-site or hybrid positions. Other notable concentrations include London, several other Indian cities such as Pune and Chennai, and Toronto. The data shows a particularly strong demand in metros with established technology, finance, and business hubs, while both US- and India-based remote roles further widen the reach of active opportunities.

• Remote, US: 13,793
• Bengaluru, 19, IN: 10,099
• New York City, NY, US: 6,214
• Hyderabad, 40, IN: 4,459
• San Francisco, CA, US: 4,158
• Pune, 16, IN: 4,118
• London, ENG, GB: 3,655
• Remote, India: 2,749
• Toronto, 08, CA: 2,332
• Chennai, 25, IN: 2,074

US Metro Totals

• San Francisco Bay Area: 10,544
• New York Metro: 6,763
• Washington DC Metro: 2,490
• Seattle Metro: 2,131
• Boston Metro: 1,801
• Dallas-Fort Worth Metro: 1,692
• Los Angeles Metro: 1,635
• Austin Metro: 1,482
• Chicago Metro: 1,431
• Atlanta Metro: 1,194