DevOps Platform Engineer

Job Title: Senior engineer (SDE-2)– Platform Engineering

Location: Bengaluru

Employment Type: Full-time

Team: Platform Engineering

About the Role

We are looking for a passionate and hands-on DevOps Engineer to join our Platform Engineering team and accelerate our platform modernization journey. This role is ideal for engineers who thrive in automation-heavy environments and want to contribute to the evolution of scalable, secure and intelligent infrastructure platforms. You will work on next-gen cloud-native platforms, implement AI-powered automation and help build self-healing, resilient systems that support our applications at scale.

Key Responsibilities

- Manage platform modernization initiatives including containerization, service mesh adoption and migration to microservices and serverless infrastructure.

- Design and implement robust CI/CD pipelines and self-service DevOps platforms to streamline software delivery across environments.

- Develop and manage Infrastructure as a Code (IaaC) using tools like Terraform or CloudFormation for scalable and repeatable deployments.

- Automate infrastructure provisioning, configuration management and operations using tools like Ansible, Chef or Puppet.

- Leverage AI/ML-driven automation for predictive alerting, anomaly detection, auto-scaling and intelligent incident response.

- Build intelligent, self-healing systems focused on resilience, cost optimization and performance forecasting in public cloud environments.

- Drive observability by establishing standards for monitoring, logging and alerting using tools such as Prometheus, Grafana, OpenTelemetry and AIOps platforms.

- Embed security and compliance into DevOps workflows by adopting DevSecOps practices throughout the software development lifecycle.

- Evaluate emerging technologies and methodologies to improve system reliability, developer experience and platform scalability.

- Participate in SRE on-call rotations, production support and post-incident reviews to continuously improve system resilience.

- Build internal tools and automation solutions to enhance platform observability and operational efficiency.

- Identify and resolve performance bottlenecks and lead root cause analysis efforts for critical incidents.

- Collaborate cross-functionally with engineering, architecture and security teams to drive best practices and architectural alignment.

- Support disaster recovery planning, backup strategy implementation and compliance initiatives (e.g., SOC2, ISO).

- Mentor junior engineers, promote knowledge sharing and foster a culture of engineering excellence.

Requirements:
- 2–6 years of experience in DevOps, SRE or platform engineering roles with a software engineering mindset.

- Hands-on expertise in Kubernetes, Docker and service mesh architectures (Istio, Linkerd).

- Expertise in CI/CD tools such as Jenkins, ArgoCD, Spinnaker or similar tools for automating and managing deployment workflows.

- Experience with observability stacks (Prometheus, Grafana, ELK, Loki or Datadog) for monitoring, logging and alerting.

- Good understanding of AIOps and ML-driven automation, including anomaly detection, intelligent alerting and predictive incident response

- Strong problem-solving and debugging skills, particularly in complex, production-grade distributed systems

- Expertise in Infrastructure as a Code (IaaC) using tools like Terraform or Pulumi and proficiency in configuration management with Ansible, Puppet or similar tools.

- Familiarity with event-driven architectures using tools like Kafka or cloud-native pub/sub messaging systems.

- Good understanding of cloud cost optimization and efficiency practices through automation and resource management.

- Experience integrating security scanning and compliance checks into CI/CD pipelines using tools like Trivy, Snyk or arnica.

Benefits:
- Work on impactful infrastructure and DevOps challenges at scale.

- Build infrastructure that enables fast, reliable and responsible deployment of AI solutions.

- Be part of a culture that champions engineering excellence, ownership and continuous learning.

- Help shape the future of DevOps and AI integration in a fast-moving, innovation-focused environment.

- Collaborate with architects and DevOps leaders on strategic initiatives.

- Be part of a team building intelligent, resilient platforms using cutting-edge DevOps and AI technologies.