DevOps Platform Engineer
2 days ago
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.
Qualifications
- 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.
Why Join Us?
- 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.
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