DevOps Platform Engineer

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

Location:

Employment Type:

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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.