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DevSecOps Engineer

Job ID
70706
Category
Enterprise Technology
Location
Chennai, India, Remote
Work Type
Remote

The DevSecOps Full Stack Security Engineer is responsible for designing, engineering, and delivering security products and platforms from the ground up - architecting end-to-end solutions (front-end, back-end, APIs, data pipelines, and cloud infrastructure) that automate security requirements/processes. This role is responsible to leverage AI/ML wherever feasible to build intelligent automation into security tooling, including vulnerability triage, risk scoring, anomaly detection, and self-service security workflows, while embedding security best practices across the SDLC. 

  • Design, build, and maintain full stack security products (UI, APIs, web services, data layer) from concept through production deployment 
  • Leverage AI/ML to automate security processes/requirements
  • Write clean, secure, well-tested, and maintainable code following secure coding principles and industry best practices
  • Participate in architecture and code reviews; ensure Zero Trust principles and DevSecOps guardrails are embedded in product design 
  • Collaborate cross-functionally with DevSecOps engineers, product delivery teams, and platform teams to translate roadmap items into engineering deliverables 
  • Troubleshoot, debug, and optimize applications for performance, scalability, and reliability 
  • Stay current with emerging AI capabilities, cloud-native technologies, and security engineering trends; evaluate and prototype new tools/frameworks 
  • Document technical designs, APIs, and operational runbooks; contribute to internal knowledge sharing and training
  • Power-user of AI coding/productivity tools (Codex, Claude, open code, etc.) to boost speed and quality
  • Apply strong working knowledge of Agile practices—including sprint planning, daily standups, and retrospectives—to drive effective team execution
  • Demonstrate curiosity and initiative in learning new tools, frameworks, and security concepts, including opportunities to apply AI to engineering problems

    Skillset required:
  • Proficiency in front-end frameworks (Angular, TypeScript, React) and back-end technologies/languages (Java/Spring Boot, Python)
  • Exposure toDevOps tooling, including Tekton, Cloud Build, GitHub, GitHub Actions, Artifactory, Docker, along with Infrastructure-as-Code tools such as Terraform
  • Experience in designing and implementing CI/CD pipelines using platforms such as Tekton, GitHub Actions, and Cloud Build to streamline and automate the software delivery lifecycle
  • Hands-on experience with relational and cloud-based database technologies, including Google BigQuery, PostgreSQL 
  • Demonstrated experience with cloud platforms, preferably Google Cloud Platform (Big Query, Cloud Run, GKE, etc.) or any other cloud platforms (Azure/AWS)
  • Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse audiences; proven ability to collaborate effectively with security teams, product managers, and cross-functional engineering teams 

  • Bachelor (undergraduate) degree in a relevant field (Computer Science, Software Engineering, Security, or others) OR an equivalent combination of education, training, and experience
  • Minimum of 4+ years of full stack software engineering experience, ideally with exposure to security products, DevSecOps tooling, or cloud-native platform , full stack developer experience
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