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Devsecops Engineer

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Hybrid

Devsecops Engineer

ITC Infotech

Devsecops Engineer

Skills

DockerPythonDevOpsDatadogAWSLinuxKubernetesChange ManagementTerraform

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,250,000 – ₹2,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

9 September 2026

What they need


Role : DevSecOps Engineer

Experience : 10+ Years

Location : Bangalore

Mode of work : Hybrid

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:

  • Bachelors 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

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