DevSecOps Engineer, IE&O

Position Title:DevSecOps Engineer IE&O

Position Type: Regular - Full-Time

Requisition ID:45078

Role Overview

The DevSecOps Engineer is a senior hands-on engineering role within the Enterprise Infrastructure Platform Engineering team. The role designs implements secures and operates resilient cloud infrastructure and enterprise DevSecOps platforms with a strong focus on automation developer enablement governance reliability and measurable delivery outcomes.

Working primarily with Microsoft Azure and also Google Cloud the engineer partners with platform architects security application data and AI teams to embed security quality observability and change controls throughout the software delivery lifecycle. The role also advances responsible use of generative and agentic AI in infrastructure-as-code and engineering workflows supported by appropriate guardrails human oversight and FinOps discipline.

Key Responsibilities

Platform Engineering & Reliability: Design implement and monitor secure fault-tolerant highly available cloud infrastructure and DevSecOps platform services.

CI/CD & Release Engineering: Establish and continuously improve build test release and deployment frameworks that support scalable delivery traceability auditability and repeatability.

DevSecOps Adoption: Drive adoption of DevSecOps and cloud platform capabilities across application data and AI engineering teams through reusable patterns enablement and technical guidance.

Security by Design: Embed SAST DAST IAST software composition analysis secrets management policy enforcement and security quality gates into CI/CD pipelines.

Infrastructure as Code: Build and maintain modular tested and governed infrastructure automation using Terraform Ansible and related tooling.

GitOps & Kubernetes: Implement GitOps-based delivery and lifecycle management for container platforms using technologies such as Kubernetes AKS GKE Argo CD Flux CD Helm Docker and Podman.

Toolchain Availability: Engineer and operate reliable services supporting source control artifact management containerization continuous integration release management change management and developer workflows.

Automated Governance: Integrate automated change-management controls approvals evidence capture policy-as-code and promotion controls across development-to-production pipelines.

Observability & Self-Healing: Integrate metrics logs traces event analytics and automated remediation to improve service health troubleshooting performance and resilience.

Performance & Operations: Lead technical analysis optimization incident response problem resolution upgrade planning operational readiness and lifecycle management for DevOps infrastructure.

Cross-Functional Architecture: Translate development security operations reliability and compliance requirements into implementable platform designs and engineering standards.

AI-Assisted Engineering: Apply generative and agentic AI to accelerate infrastructure engineering and automation while maintaining human oversight security guardrails governance and cost accountability.

Documentation & Enablement: Produce clear technical documentation reference architectures standards runbooks and reusable implementation guidance; coach teams on engineering best practices.

Automation Culture: Identify repetitive manual processes and replace them with secure supportable observable automation.

Required Skills and Experience

Core Experience

10 years of relevant experience in DevSecOps platform engineering cloud engineering task automation or GitOps.

Hands-on engineering experience designing and operating enterprise-scale CI/CD cloud infrastructure container platforms and automation frameworks.

Strong programming and scripting capability using Python Bash PowerShell Groovy Java C# C or comparable languages.

Proven operational discipline across incident response problem management performance analysis upgrade execution high availability and technical documentation.

Strong communication and collaboration skills with the ability to work effectively across architecture security infrastructure application data and AI teams.

Technical Capabilities Required

Qualifications

Bachelors degree in computer science engineering information technology or a related discipline; equivalent practical experience will also be considered.

Relevant public cloud certification in Microsoft Azure or Google Cloud is required.

DevOps DevSecOps Kubernetes or CNCF certification is preferred.

Experience with Agile and DevOps delivery methods and with planning estimation and delivery in a fast-paced enterprise environment.

Demonstrated learning agility with the ability to evaluate and adopt emerging technologies responsibly.

Preferred Attributes

• Systems thinker who balances developer experience security reliability governance and cost.
• Self-starter who can operate with appropriate autonomy while maintaining strong stakeholder alignment.
• Pragmatic engineer who favors standards reusable products automation and measurable outcomes over one-off solutions.
• Curious and adaptable with a commitment to continuous learning and responsible adoption of AI-enabled engineering practices.

Key Outcomes

• Secure delivery: Security and compliance controls are consistently embedded and evidenced within delivery pipelines.
• Reliable platforms: DevSecOps services meet defined availability performance recovery and support expectations.
• Faster flow: Standardized automation reduces manual effort and enables repeatable lower-risk releases.
• Developer enablement: Product teams can adopt approved cloud and DevSecOps capabilities through clear reusable patterns.
• Operational excellence: Observability incident learning self-healing and continuous improvement reduce recurring issues and operational toil.
• Responsible AI adoption: AI-assisted engineering improves productivity without compromising security governance quality or cost control.

McCain Foods is an equal opportunity employer. As a global family-owned company we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity resilience and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race religion color national origin sex age veteran status disability or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us knowand we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us you agree this will be handled in accordance with McCains Global Privacy Policyand Global Employee Privacy Policy as applicable. McCain leverages AI in the hiring process though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family:Information Technology

Location(s): IN - India : Haryana : Gurgaon

Company:McCain Foods(India) P Ltd