Total: 124,347, Remote: 9,451, On-site: 114,896.
Specializations
The data reflects a robust demand for business software applications expertise, surpassing all other software specializations by a notable margin. Software engineering roles also feature prominently, indicating that core development skills remain fundamental across industries. Specializations such as machine learning and AI engineering, while representing a smaller share, are sizable enough to highlight a growing focus on advanced technologies and data-driven innovation. Within software engineering, there is discernible granularity: full-stack, backend, frontend, and Java-specific roles each represent substantial career concentrations. Backend and Java backend development together underscore the importance of server-side and platform-specific programming, whereas frontend and quality assurance positions signal consistent investment in user experience and reliability. The presence of distinct leadership and architecture roles speaks to a maturing tech landscape where strategic oversight and system design are key differentiators.
- business-software-applications: 30,022
- software-engineering: 23,672
- machine-learning-and-ai-engineering: 9,562
- full-stack-software-engineering: 7,878
- backend-engineer: 7,796
- java-software-engineering: 7,231
- frontend-software-engineering: 6,297
- software-quality-assurance-and-testing: 6,278
- solution-architecture: 5,689
- java-backend-development: 5,477
In Demand Skills
The data reveals that CI/CD pipelines, Python programming, and cloud platforms like AWS are among the most sought-after skills in today’s job market. Proficiency in these areas, alongside expertise in Java, DevOps methodologies, and infrastructures such as Azure and GCP, features prominently in employer requirements. Other technologies like Kubernetes, SQL, JavaScript, Docker, and frameworks such as React also play a crucial role in open positions. Technical fluency in microservices, TypeScript, and Linux further rounds out the landscape, with REST APIs, Terraform, Jenkins, distributed systems, and data analysis reflecting demand for well-rounded, versatile engineers. In demand skills emphasize cloud-native development, automation, and scalable infrastructure knowledge, often combined with programming in Python or Java. The prominence of containerization, CI/CD practices, and both front- and back-end frameworks signals a market hungry for professionals capable of bridging application development and deployment, cloud management, and modern software architectures. Employers seek candidates with a blend of automation, cloud expertise, and full-stack development abilities for both individual contributor and leadership positions.
- CI/CD: 22,008
- Spring: 5,023
- Python: 18,779
- PostgreSQL: 4,684
- AWS: 17,919
- Angular: 4,438
- Java: 15,691
- .NET: 4,127
- DevOps: 15,627
- SRE: 4,113
- Azure: 14,311
- Node.js: 4,078
- SQL: 12,909
- Android: 3,822
- Kubernetes: 12,618
- CSS: 3,703
- GCP: 11,871
- HTML: 3,431
- JavaScript: 10,263
- Kafka: 3,425
- React: 9,797
- Spring Boot: 3,278
- Docker: 8,963
- iOS: 3,243
- Microservices: 7,427
- GitHub Actions: 3,227
- TypeScript: 7,379
- PyTorch: 2,925
- Linux: 7,154
- Ansible: 2,848
- REST API: 6,396
- NoSQL: 2,552
- Terraform: 6,074
- System Design: 2,545
- Jenkins: 5,682
- TensorFlow: 2,308
- Data Analysis: 5,624
- MySQL: 2,305
- Distributed Systems: 5,474
- Bash: 1,976
Ai Skill Signals
Demand for broad AI skills in the job market remains substantial, with over thirty thousand active opportunities referencing AI capabilities in general. More specialized domains such as LLMs, generative AI, and retrieval-augmented generation (RAG) show strong presence, reinforcing the rapid enterprise adoption of new AI paradigms. Skills related to prompt engineering, leading platforms like OpenAI and Claude, as well as emerging agentic frameworks or copilots, are increasingly cited. This signals an expectation that candidates understand not just AI fundamentals, but also the latest tooling and interaction techniques shaping production-ready AI applications. Overall, the landscape underscores AI’s centrality to current tech hiring, especially for those able to demonstrate fluency with both foundational models and the practical ecosystems supporting their deployment.
- AI (generic): 30,497
- LLMs: 5,907
- Generative AI: 5,510
- RAG: 1,666
- Copilot: 1,303
- Prompt engineering: 1,191
- OpenAI: 1,082
- Agentic frameworks: 863
- Claude: 815
- Cursor: 595
Seniority Levels
The job market indicates a substantial concentration of roles at the mid and senior levels, with mid-level positions being the most prevalent. This suggests strong demand for professionals who possess several years of experience but are not yet at the executive tier. Entry-level and internship opportunities are notably less common, reflecting a more limited pipeline for individuals just starting their careers. Overall, the landscape favors candidates with established skills and experience, highlighting the importance of career progression beyond the entry point.
- Mid Level: 60,779
- Senior: 48,592
- Entry Level: 10,478
- Intern: 4,498
Geographic Hotspots
Bengaluru stands out as the top geographic hotspot, hosting the largest concentration of roles, closely followed by major US cities and metros. The San Francisco Bay Area leads among US metro areas, reinforcing its long-standing tech dominance, while New York, Seattle, and Washington DC metros also show robust hiring. Indian cities, particularly Hyderabad, Pune, and Chennai, are surging in importance, reflecting the global shift in talent markets. London's and Toronto's representation highlights their continuing status as international tech and business centers.
- Bengaluru, 19, IN: 8,753
- United States, 00, US: 6,136
- Hyderabad, 40, IN: 3,897
- Pune, 16, IN: 3,668
- New York City, NY, US: 2,531
- London, ENG, GB: 2,125
- San Francisco, CA, US: 2,064
- Chennai, 25, IN: 1,951
- Republic of India, 00, IN: 1,542
- Toronto, 08, CA: 1,417
US Metro Totals
- San Francisco Bay Area: 6,670
- New York Metro: 2,849
- Seattle Metro: 2,016
- Washington DC Metro: 1,448
- Los Angeles Metro: 1,054
- Dallas-Fort Worth Metro: 1,038
- Boston Metro: 1,029
- Austin Metro: 906
- Chicago Metro: 820
- Atlanta Metro: 771