Website:
sonyindiasoftware.co.in
Job details:
Lead Platform Engineer (Observability Focus)
About The Role
We are looking for a Senior Platform Engineer with deep expertise in observability, cloud-native infrastructure, and large-scale distributed systems. This role is highly hands-on and focuses on designing, building, and operating reliable, observable, and scalable platforms running on Kubernetes, with a strong preference for AWS, and having GCP knowledge would be an edge.
Key Responsibilities
Reliability & Operations
- Design, implement, and maintain highly available and resilient systems in Kubernetes-based environments
- Define and enforce SLOs, SLIs, and error budgets
- Lead incident response, RCA, and postmortems
- Drive reliability improvements through automation
Observability (Core Focus)
- Architect and operate observability platforms for metrics, logging, tracing, and alerting
- Work with Prometheus, Alertmanager, Grafana, Splunk, Cribl, Datadog
- Establish actionable alerting standards
Cloud & Platform Engineering
- Build and manage infrastructure on AWS.
- Operate Kubernetes clusters (EKS preferred)
- Deploy services using Helm, ArgoCD and Argo rollout
- Manage containerized workloads using Docker and containerd
Automation & Tooling
- Strong Python skills with emphasis on reliability, automation, and observability tooling
- Develop automation and tooling using Python
- Create internal reliability and monitoring tools
- Integrate CI/CD pipelines with observability and reliability checks
Collaboration & Leadership
- Mentor junior engineers
- Influence architecture decisions
- Collaborate across engineering teams
Required Qualifications
- 6+ years of relevant experience in SRE, DevOps, or Platform Engineering
- Strong Python skills with experience building production-grade automation and tooling
- Strong programming experience in Python
- Production experience with Kubernetes
- Strong observability fundamentals
- Experience with Helm, ArgoCD, Argo Rollout and Docker
- Experience with AWS cloud
- Strong Linux and networking fundamentals
- Familiarity with the SDLC
Preferred Qualifications
- Experience with OpenTelemetry and Observability tools
- Experience with Kubernetes package manager (helm) and deployment (ArgoCD / Argo Rollout)
- Multi-cluster or multi-region Kubernetes experience
- Service mesh (Istio) and API Gateway (Kong) experience
- Infrastructure-as-Code (Terraform preferred)
- Cloud cost optimization experience
Technology Stack
Programming & Automation: Python (strong proficiency, production-grade tooling and automation)
Containerization & Orchestration: Docker, AWS EKS
Packaging & Deployment: Helm, ArgoCD, Argo Rollout
Observability & Monitoring: Observability & Monitoring: Prometheus, Alertmanager, Grafana, OpenTelemetry, Datadog, Splunk, Cribl, Edge Collectors, AWS Cloud Watch
Platforms: AWS (primary and preferred), Google Cloud Platform (good to have)
CI/CD & DevOps: Git-based CI/CD pipelines, release automation, reliability checks
Infrastructure as Code: Terraform (preferred)
Operating Systems & Networking: Linux, TCP/IP, DNS, load balancing
Project Details / What You’ll Work On
Build and operate a centralized observability platform for metrics, logs, traces, and alerting across Kubernetes workloads using above mentioned tooling for services running in AWS, on-prem, and GCP (good to have)
Contribute to the o11y center-of-excellence guiding teams to create their SLOs, SLIs, reduce MTTR and collaborate with developers to move toward and Observability Driven Development mindset. Support observability for services running on our Kubernetes ecosystem.
Develop Python-based automation and tooling for observability, SLO reporting, incident response, and operational workflows
Lead incident response for production issues, conduct blameless postmortems, and drive long-term reliability improvements
Optimize platform scalability, performance, and cloud cost efficiency with a strong focus on GCP and AWS.
Act as a technical leader, influencing architecture and mentoring teams on reliability and observability best practices
AWS, Sre, Elk
Reliability & Operations
- Design, implement, and maintain highly available and resilient systems in Kubernetes-based environments
- Define and enforce SLOs, SLIs, and error budgets
- Lead incident response, RCA, and postmortems
- Drive reliability improvements through automation
Observability (Core Focus)
- Architect and operate observability platforms for metrics, logging, tracing, and alerting
- Work with Prometheus, Alertmanager, OpenTelemetry, Grafana, Loki / ELK / OpenSearch
- Implement cloud-native monitoring (GCP Cloud Monitoring & Logging preferred)
- Establish actionable alerting standards
Cloud & Platform Engineering
- Build and manage infrastructure on GCP (preferred) or AWS
- Operate Kubernetes clusters (GKE preferred)
- Deploy services using Helm
- Manage containerized workloads using Docker
Automation & Tooling
- Strong Python skills with emphasis on reliability, automation, and observability tooling
- Develop automation and tooling using Python
- Create internal reliability and monitoring tools
- Integrate CI/CD pipelines with observability and reliability checks
Collaboration & Leadership
- Mentor junior engineers
- Influence architecture decisions
- Collaborate across engineering teams
Click on Apply to know more.
