DevSecOps Engineer

We are looking for Only Bengaluru Based candidates with below 30 days Notice period.

DevSecOps Engineer - Working shift in US Eastern Hours - 05:30 PM IST to 02:30 AM IST

Responsibilities:

• Develop and implement cloud-native infrastructure solutions to support the entire software development lifecycle.
• Design and operate Kubernetes infrastructure using emerging technologies such as Datadog, Argo CD, Crossplane, Helm, and Karpenter.
• Champion the design, implementation, and management of our cloud infrastructure using Terraform, ensuring best practices for scalability, resiliency, and security.
• Support migration efforts to K8s.
• Support architectural modernization of applications and their underlying infrastructure to be more cloud native leveraging serverless platforms, Docker, Kubernetes, etc.
• Build, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate front office software applications and core infrastructure technology.
• Partner with the global IT organization to identify areas for automation (via IaC, CID/CD pipelines, etc) and implement solutions to streamline IT workflows and operational processes such as infra deployment, upgrades, patching, and migration with minimal service downtimes.
• Support the design and implementation of high availability, disaster recovery, and business continuity plans to ensure the availability of critical IT services.
• Conduct product evaluations, design & development of new features/enhancements, and continuous improvements in all areas of infrastructure service operations. Respond to mission-critical service issues to triage and resolve complex problems.
• Partner with developers and internal stakeholders to understand requirements, engineer, optimize, support, and maintain cloud-native solutions.
• Troubleshoot and diagnose issues and remediate them accordingly.

Qualifications:

• Bachelor's degree required, preferably in Computer Science, MIS, or related technical field of study.
• Minimum 5+ years of prior professional Platform Engineering experience.
• Excellent understanding of AWS services; including EKS, ECS, and related services
• Hands-on experience with Kubernetes infrastructure and tooling, including Datadog, Argo CD, Crossplane, Helm, and Karpenter strongly preferred.
• Experience with various CI/CD methodologies, container orchestration tools, and observability and performance monitoring technologies.
• Good understanding of networking concepts and OSI layers.
• Experience designing and implementing DevSecOps practices.
• Advanced knowledge in assessing, deploying, configuring, testing, and operating AWS services using IaC tools.
• Experience working in Linux environments.
• Strong understanding of containers (eg: Docker) and container orchestration via Kubernetes
• Demonstrated hands-on experience with Git, Python, shell scripting, and Terraform in an enterprise production environment.
• Thorough understanding of change management control and the software development lifecycle, from requirements analysis to testing and deployment.
• Proven experience in conducting Root Cause Analysis (RCA) of issues, with a demonstrated ability to analyze data, identify patterns, and propose effective solutions to prevent the recurrence of the issue.
• Excellent verbal and written communication skills, possessing the ability to interact effectively with technical and non-technical stakeholders.
• Strong analytical skill-set with demonstrated attention to detail.
• Ability to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.

Preferred Qualifications:

• Experience implementing Kubernetes security controls, including eBPF-based runtime visibility or policy enforcement
• Experience supporting MLOps workloads on Kubernetes (e.g., model training, serving, pipelines, or GPU-enabled workloads)
• Experience operating across multiple Kubernetes distributions (e.g., managed cloud Kubernetes and self-managed clusters)
• Experience leveraging Open Source technologies incubated through CNCF