Senior DevSecOps Engineer (India)

Senior DevSecOps Engineer (India)

09 Sep
|
Clifyx
|
India

09 Sep

Clifyx

India

Summary Information

Contract - IND

India

IT_IND

Contingent Labor

IND Default

Open

7/3/2026 8:45:09 AM

No

Request Information

Information Technology_IND - IND_Engineer

1

3

0

7/26/2026

1/26/2027

45.00

Adhikari, Kashmira

10853836

Rs0.00 (Sum of Expense * Quantity of Candidates)

General Information

Skills” CI CD, Gen AI, Scripting language (Python/Javascript/Bash) , compiled language (Java/Go)

Location: Bangalore, Chennai

Exp Range; 8-10 yrs

JD

- Primary Responsibilities building automation tooling for security or developer efficiency

Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java)

Experience with GitHub automation and API integrations.

Strong Experience of CI/CD pipelines and how to integrate security into development workflows.

Ability to collaborate effectively across security and engineering teams.

Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape.

Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes.

Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines.

Collaborate with development and security teams to ensure seamless adoption of security automation.

Continuously refine automation strategies to optimize security effectiveness and reduce manual overhead.

Support on-going vulnerability management efforts to ensure proper attack surface management.

Proficiency in Python,



with experience building automation tools for security or engineering teams A strong foundation in software engineering principles, including debugging, testing, and system design. An eagerness to learn about AI/ML, with opportunities to explore the intersection of AI and security.

Work closely with our Engineering and Data science teams to securely design and implement new features and products.

Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows

Integrate agents with enterprise systems, APIs, data sources, and security platforms

Operate as an integral member of Engineering team and advocate for security best practices across the organization.

Strong understanding, experience with OWASP Top10 and industry best practices within Generative AI security.

Perform 24x7 operational readiness for GenAI security platforms, with defined SLAs and consequence management workflows.

Partner with Security Operations Center to triage, contain, and remediate incidents.

Ensure observability, logging, and monitoring provide full operational transparency.

The ideal candidate is detail-oriented, technically adept, and comfortable working in a high-availability environment supporting critical AI operations

Monitor GenAI platform dashboards, alerts, and performance metrics around the clock.





Detect and assess incidents, classify severity, and initiate response protocols.

Perform first-level troubleshooting and escalate issues as required.

Maintain accurate and timely incident logs.

Follow standard operating procedures (SOPs) for handling sensitive or customer-facing AI outputs.

Proven experience in a support or operations role, preferably within the AI or tech industry.

Strong understanding of Gen AI products and security operations.

Strong Security foundational knowledge (ideally in the following categories: SaaS, Network Security, Data Security, Risk)

- Desired Skills:

Information security professional certifications encouraged, such as SANS GIAC, CISSP, Generative AI certifications.

Experience mentoring application security and secure development practices to the team.

Master's Degree – Cyber Security, Data Science, Computer Science, or Software Engineering

Machine Learning Operation Professional Certifications.

Strong knowledge of Adversarial Robustness techniques and tools for machine learning.

Solid knowledge of AI Risk Management frameworks and Trustworthy AI practices.

Minimum Qualifications bachelor's degree in Cybersecurity, Data science, Computer Science or Software Engineering.

10 + years' experience with Automation and Development in CI/CD.

10+ years of software engineering experience.

5+ Years of Cybersecurity.

2+ years of Generative AI experience.

Rate Details

IND_Engineer

Category 4

Level III

Rs90,000.00 - Rs165,000.00 Monthly NOOT

$0.00

Other Estimated Expenses

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Amount

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📌 Senior DevSecOps Engineer (India)
🏢 Clifyx
📍 India

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