Senior Developer / Cloud Engineer – Service Mesh

10 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Description

We Are Hiring For 🚀 Senior Developer / Cloud Engineer – Service Mesh 🚀

Position: Senior Developer / Cloud Engineer – Service Mesh

Work Location : Whitefield, Bangalore

Work Mode: Hybrid

Exp: 10+ years

We are looking for only Immediate Joiners

Strong understanding of Kubernetes architecture and networking.

Hands-on experience with Service Mesh framework - Istio .

Experience with mTLS, service discovery, sidecar injection, and ingress/egress gateways.

Familiarity with Helm, Kustomize, or other Kubernetes deployment tools.

Knowledge of CI/CD integration and GitOps practices.

Experience with observability tools: Prometheus, Grafana, Jaeger, Kiali, Fluentd, ELK stack, etc.

Proficiency in scripting (Bash, Python, or Go preferred).

Solid understanding of cloud platforms (AWS, Azure, or GCP).

Knowledge of security principles for microservices and zero-trust architecture.

We are looking for a skilled engineer to lead the implementation and optimization of a Service Mesh architecture across our microservices ecosystem. The ideal candidate will have hands-on experience with Istio, Linkerd, Consul, or AWS App Mesh, and will be responsible for defining architecture, enabling observability, enforcing policies, and improving security and traffic management.

Key Responsibilities:

Design, deploy, and manage a Service Mesh (e.g., Istio, Linkerd) to support secure, scalable, and observable microservices communication.

Define traffic routing policies, such as canary releases, blue-green deployments, and retries/failovers.

Implement mutual TLS (mTLS), authorization, and access policies for service-to-service communication.

Integrate the service mesh with observability stacks (Prometheus, Grafana, Jaeger, etc.) for metrics, tracing, and logging.

Work closely with development, SRE, and security teams to align mesh configuration with application requirements and security standards.

Provide performance tuning, troubleshooting, and incident response related to mesh components.

Document best practices and provide knowledge transfer to internal teams.

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