Software developers
US$135,980 / year
U.S. national median annual wage · May 2025
Employment projection: 10% over 2025–2035 for Software developers, quality assurance analysts and testers (combined).
Both share delivery and operations foundations. DevSecOps makes security controls and remediation a more explicit focus; it does not remove security responsibility from other engineers.
Reviewed · BonusMantra
Role boundaries differ by employer. The table is an editorial synthesis informed by the linked role references; tool choices, entry paths and future/stability assessments are guidance, not measured hiring statistics.
On smaller screens, scroll the table horizontally to read both roles.
| Dimension | DevOps | DevSecOps |
|---|---|---|
| Primary focus | Improve collaboration and automation across software delivery and operations. Role reference: Google SRE Workbook: How SRE Relates to DevOps | Integrate security testing and risk handling into the delivery process. Role reference: OWASP DevSecOps Guideline |
| Typical work | Maintain CI/CD, provision environments, improve observability and reduce delivery friction. | Review scan findings, implement pipeline gates, investigate exceptions and verify remediation. |
| Core skills | Linux, networking, scripting, infrastructure as code, containers and release engineering. | DevOps foundations, application security, threat modeling, identity controls and vulnerability triage. |
| Example tools | Examples: GitHub Actions or Jenkins, Terraform, Docker, Kubernetes and monitoring tools. | Examples: Trivy, CodeQL, ZAP, secret scanning and policy checks; coverage depends on the target. |
| Math and statistics | Systems reasoning and debugging usually matter more than advanced statistics. | Risk reasoning and systems knowledge are typically more central than advanced mathematics. |
| Entry path | Build a tested deployment pipeline and show recovery from a faulty release. Support or development experience is useful. | Add a scoped security finding, release policy and verified fix to a delivery lab you already understand. |
| Portfolio evidence | Repeatable infrastructure, immutable release artifacts, smoke tests and a recovery runbook. | A threat model, before/after regression test and documented scanner coverage and exception expiry. |
| On-call and work pattern | Varies widely. Some roles emphasize developer enablement; others include substantial production support. | May involve urgent vulnerability response or security incidents. Clarify how work is shared with application security and incident teams. |
| Salary comparability | DevOps titles span delivery, infrastructure and operations. The sources used here do not provide a directly comparable title-specific wage. | Information Security Analysts is a related BLS occupation, not a DevSecOps salary series; software delivery responsibilities may fit other categories. |
| Future and automation | Editorial outlook: managed platforms can absorb routine configuration work. Platform design, troubleshooting and cost/reliability decisions broaden the value of automation skills. | Editorial outlook: automated scanning can reduce repetitive checks while increasing the need to interpret findings and make defensible risk decisions. |
| Career stability | Editorial view: maintaining critical delivery infrastructure supports recurring work, but team consolidation and managed services can change staffing needs. | Editorial view: security obligations can sustain work, but tools alone are insufficient. Understanding the application and owning remediation strengthens your contribution. |
| Progression options | Possible paths: platform engineer, SRE, infrastructure architect or engineering lead. | Possible paths: application security engineer, product security engineer, security architect or platform security lead. |
These are U.S. occupational benchmarks in USD, covering multiple seniority levels. They are not India salaries, fresher packages, total compensation estimates or a salary ranking of these two titles. Where a title has no direct series in the selected sources, adjacent occupations are shown only as context.
US$135,980 / year
U.S. national median annual wage · May 2025
Employment projection: 10% over 2025–2035 for Software developers, quality assurance analysts and testers (combined).
US$129,180 / year
U.S. national median annual wage · May 2025
Employment projection: 21% over 2025–2035 for Information security analysts.
The projection category is stated separately because some BLS profiles group occupations. A projected employment increase does not measure individual job security, current vacancies or the chance of receiving an offer.
Collect current advertised ranges for the same city, level and responsibilities. For India, separate fixed annual pay from variable pay, joining bonuses, equity and other CTC components; do not convert a U.S. median into an expected rupee package. Ask for the compensation breakdown and on-call expectations before comparing offers.
No verified, like-for-like India salary dataset is included in this edition. Recheck the linked sources and local vacancies when applying.
You prefer improving deployment flow, environments and developer productivity.
You enjoy understanding security findings, designing controls and proving risk reduction.
Build a tested container release pipeline. Add a scoped security scan, a policy gate and a regression test for one fixed finding. Notice whether you prefer delivery design or security investigation.
From DevOps to DevSecOps, add application security, threat modeling and remediation practice. In the reverse direction, deepen deployment design, infrastructure automation and reliability.
Our assessment favors transferable skills and demonstrable ownership over a title. Compare the actual team: its recurring responsibilities, product adoption, funding, mentoring and operational workload. No role is immune to restructuring, and a fast-growing occupation can still have a competitive entry market.
Use the future and stability rows to identify skills to develop and questions to ask. They are qualitative editorial judgments, not forecasts of layoffs or guarantees of demand.
Lean toward AI engineering if you enjoy shipping model-backed software; lean toward data science if you prefer investigating questions through statistics and evidence. Teams can combine both responsibilities.
RAG is a specialization within the broader AI application space. Choose it for retrieval, document pipelines and evidence evaluation; develop broader AI engineering skills to keep your options open.
DevOps describes a broad delivery and collaboration approach; SRE is a particular engineering approach to operations and reliability. Job titles alone cannot tell you who owns deployment or on-call.
Data engineers make data dependable and accessible; data scientists use data to investigate questions and model outcomes. A strong data product often needs both.
MLOps builds on delivery and operations practices while adding data, training and model-quality concerns. Choose it when you want to operate the ML lifecycle as well as the software around it.