Job Summary:We are seeking a highly skilled and experienced Sr. DevOps Engineer to lead the design and implementation of scalable, secure, and automated DevSecOps solutions. The ideal candidate will play a pivotal role in driving toolchain integration, CI/CD optimization, and infrastructure automation across the enterprise. It will be good to have the ideal candidate with MLOps Understanding and some working experience.Key Responsibilities:

Design and implement scalable DevSecOps architecture aligned with business and technology goals.
Design and implement CI/CD pipelines, infrastructure-as-code (IaC), and configuration management processes.
Extensive experience in leading implementation of Multistage pipelines as Code in Jenkins and GitLab platforms.
Design and implement operationalization of infrastructure (provisioning, configuration, and patching) aligned with business and technology goals.
Proven experience in collaborating with software architects, developers, QA, security, cloud and operations teams to implement CI, CD and Continuous testing (CT).
Experience in container-based and serverless deployments to AWS including microservices.
Expert in creating and implementing configurable pipelines incorporating Quality gates in CI, CD and CT.
Drive automation for build, deployment, and infrastructure provisioning.9 Guide DevOps engineers and developers in modern engineering practices and improving DevSecOps maturity.
Support incident response and root cause analysis for major outages and service disruptions.
Contribute to compliance and audit readiness of the DevSecOps processes.
Good to Have: MLOps Understanding and exposure to the below responsibilities.
Understanding the Design, implement, and manage end-to-end MLOps pipelines including model training, validation, deployment, and monitoring.
Basic knowledge on Integrating CI/CD pipelines with ML workflows for automated model retraining and deployment.
Knowledge on ML frameworks and platforms such as TensorFlow, PyTorch, SageMaker, Azure ML, or similar.
Basic knowledge on monitoring model performance, data drift, and concept drift in production environments.Required Qualifications:
Bachelor’s or Master’s degree in computer science, engineering, or related field.
This is a hands-on role that requires 8+ years of overall IT experience, with 6+ years in DevSecOps and at least 2+ years in leadership position.
Hands-on experience with integrating tools including PyUnit, nUnit, SonarQube, Jenkins, Snyk, Artifactory, Maven, RestAssured, Liquibase, CloudFormation, AWS Secrets Manager and containers/Kubernetes.
Expert – Groovy & YAML; Deployments patterns – Blue Green and Canary .
Work with MongoDB Atlas and Kibana for database management, monitoring, and log analysis.
Collaborate with development teams to streamline build, release, and deployment processes.
Experience implementing and delivering DevOps metrics including DORA.
Deep expertise in cloud platforms in AWS and Azure.
Continuous improvement mindset adding new capabilities to enhance DevSecOps maturity.
Proficient in at least one scripting language (e.g., Python, Bash, PowerShell).
Excellent communication, collaboration, and leadership skills.
Working experience of Agile/SCRUM/Kanban technologies.Preferred Qualifications:
Hands-on experience with AWS Fargate, AWS CloudWatch and AWS Secrets Manager.
Solid and proven expertise in Infrastructure as Code (Terraform, Ansible, CloudFormation, Puppet).
Certifications: AWS Certified DevOps Engineer
Experience infusing Gen AI in DevSecOps automation
Experience in multi-cloud or hybrid cloud environments.
Strong knowledge of networking, security, and monitoring tools (e.g., NewRelic).
Hands-on experience with IaC tools (Terraform, CloudFormation), and Puppet/Ansible.
Good to have exposure on MLOps (TensorFlow/PyTorch/ SageMaker/ Azure ML/ or similar).

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