DevOps Lead

As a DevOps Lead, you will spearhead the engineering function for a cloud-native, Kubernetes-based data platform. You will be responsible for the end-to-end lifecycle of CI/CD pipelines, platform reliability, and infrastructure automation. This role requires a strategic mindset to drive observability, security, and production excellence across distributed environments.

Our client is a prominent global software engineering and technology services firm. They specialize in delivering complex digital solutions and cloud-native platforms for high-tech industries. With a focus on innovation and operational excellence, they maintain a collaborative culture that empowers engineers to solve challenging technical problems at scale.

Responsibilities

• Design, build, and maintain robust CI/CD pipelines for automated build, test, and deployment workflows.
• Manage and scale Kubernetes and Docker-based application platforms across development, staging, and production environments.
• Develop and maintain advanced Helm-based deployment strategies.
• Oversee release management, deployment automation, rollback procedures, and environment promotion.
• Implement comprehensive monitoring, logging, alerting, and tracing solutions to ensure platform observability.
• Lead platform upgrades, production troubleshooting, incident management, and root cause analysis.
• Develop automation scripts using Python and Shell to streamline infrastructure and operational tasks.
• Integrate DevSecOps practices including SAST, SCA, container scanning, and SBOM generation into the CI/CD lifecycle.
• Manage disaster recovery, backup, and operational readiness initiatives.
• Mentor engineering team members and establish best practices for SRE and platform engineering.

Requirements

• 8-12 years of professional experience in DevOps, Cloud, or Platform Engineering.
• Deep expertise in Kubernetes, Docker, and container orchestration.
• Proficiency in Helm chart development and management.
• Strong experience with Git and modern CI/CD platforms.
• Proven ability in production troubleshooting and root cause analysis for microservices and distributed systems.
• Hands-on experience with Infrastructure as Code tools like Terraform.
• Strong scripting skills in Python and Shell.
• Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
• Experience with message brokers like Kafka or RabbitMQ and search engines like Elasticsearch.
• Knowledge of DevSecOps principles and supply chain security.