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 tostreamline software delivery across environments.
Develop and manage Infrastructure as a Code (IaaC) using tools like Terraform orCloudFormation for scalable and repeatable deployments.
Automate infrastructure provisioning, configuration management and operations usingtools 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 andperformance forecasting in public cloud environments.
Drive observability by establishing standards for monitoring, logging and alerting usingtools such as Prometheus, Grafana, OpenTelemetry and AIOps platforms.
Embed security and compliance into DevOps workflows by adopting DevSecOpspractices 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 tocontinuously improve system resilience.
Build internal tools and automation solutions to enhance platform observability andoperational efficiency.
Identify and resolve performance bottlenecks and lead root cause analysis efforts forcritical incidents.
Collaborate cross-functionally with engineering, architecture and security teams to drivebest practices and architectural alignment.
Support disaster recovery planning, backup strategy implementation and complianceinitiatives (e.g., SOC2, ISO).
Mentor junior engineers, promote knowledge sharing and foster a culture of engineeringexcellence.
Qualifications
4–8 years of experience in DevOps, SRE or platform engineering roles with a softwareengineering 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 forautomating and managing deployment workflows.
Experience with observability stacks (Prometheus, Grafana, ELK, Loki or Datadog) formonitoring, 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-gradedistributed systems
Expertise in Infrastructure as a Code (IaaC) using tools like Terraform or Pulumi andproficiency in configuration management with Ansible, Puppet or similar tools.
Familiarity with event-driven architectures using tools like Kafka or cloud-native pub / submessaging systems.
Good understanding of cloud cost optimization and efficiency practices throughautomation and resource management.
Experience integrating security scanning and compliance checks into CI / CD pipelinesusing tools like Trivy, Snyk or arnica.
Why Join Us?
Work on impactful infrastructure and DevOps challenges at scale.Build infrastructure that enables fast, reliable and responsible deployment of AIsolutions.
Be part of a culture that champions engineering excellence, ownership and continuouslearning.
Help shape the future of DevOps and AI integration in a fast-moving, innovation-focusedenvironment.
Collaborate with architects and DevOps leaders on strategic initiatives.Be part of a team building intelligent, resilient platforms using cutting-edge DevOps andAI technologies.