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Senior Software Engineer, Devops

10 years

3 - 8 Lacs

Bengaluru

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

software devops design automation architecture service aws azure engineering metrics strategy opentelemetry exporting auto instrumentation export data gitlab terraform docker scripting code vpc iam monitoring deduplication management drive onboarding strategies ai reliability http python documentation communication certifications java kafka rabbitmq elasticsearch vault

Work Mode

On-site

Job Type

Part Time

Job Description

As a Senior Software DevOps Engineer, you will lead the design,implementation, and evolution of telemetry pipelines and DevOps automation that enable
next-generation observability for distributed systems. You will blend a deep understanding of Open Telemetry architecture with strong DevOps practices to build a reliable, high-performance and self-service observability platform across hybrid cloud environments (AWS & Azure). Your mission: empower engineering teams with actionable insights through rich metrics, logs, and traces, while championing automation and innovation at every layer.

WHAT YOU WILL BE DOING


    • Observability Strategy & Implementation
    • Architect and manage scalable observability solutions using OpenTelemetry (OTel),encompassing:
    • Collectors: Design and deploy OTel Collectors (agent/gateway modes) for ingesting and exporting telemetry across services.
    • Instrumentation: Guide teams on auto/manual instrumentation for services (metrics, traces, and logs).
    • Export Pipelines: Build telemetry pipelines to route data to backends like
    • Grafana, Prometheus, Loki, New Relic, and Azure Monitor.
    • Processors & Extensions: Leverage OTel processors (batching, filtering,
      • resource detection) and extensions for advanced enrichment and routing.

    • DevOps Automation & Platform Reliability
    • Own the CI/CD experience using GitLab Pipelines, integrating infrastructure automation with Terraform, Docker, and scripting in Bash and Python.
    • Build resilient and reusable infrastructure-as-code modules across AWS and Azure ecosystems.Manage containerized workloads, registries, secrets, and secure cloud-native deployments with best practices.

    • Cloud-Native Enablement
    • Develop observability blueprints for cloud-native apps across AWS (ECS, EC2, VPC,IAM, CloudWatch) and Azure (AKS, App Services, Monitor).
    • Optimize cost and performance of telemetry pipelines while ensuring SLA/SLO adherence for observability services.

    • Monitoring, Dashboards, and Alerting
    • Build and maintain intuitive, role-based dashboards in Grafana ,New Relic..., enabling real-time visibility into service health, business KPIs, and SLOs. Implement alerting best practices (noise reduction, deduplication, alert grouping)integrated with incident management systems.

    • Innovation & Technical Leadership
    • Drive cross-team observability initiatives that reduce MTTR and elevate engineering velocity.
    • Champion innovation projects—including self-service observability onboarding, log/metric reduction strategies, AI-assisted root cause detection, and more.
    • Mentor engineering teams on instrumentation, telemetry standards, and operational excellence.

WHAT YOU BRING

    • 10+years of experience in DevOps, Site Reliability Engineering, or Observability roles.
    • Deep expertise with OpenTelemetry, including Collector configurations,
    • receivers/exporters (OTLP, HTTP, Prometheus, Loki), and semantic conventions.
    • Proficient in GitLab CI/CD, Terraform, Docker, and scripting (Python, Bash, Go). Strong hands-on experience with AWS and Azure services, cloud automation, and cost optimization.
    • Proficiency with observability backends: Grafana, New Relic, Prometheus, Loki, or equivalent APM/log platforms.
    • Passion for building automated, resilient, and scalable telemetry pipelines.
    • Excellent documentation and communication skills to drive adoption and influence engineering culture.

Nice to Have)

    • Certifications in AWS, Azure, or Terraform.
    • Experience with OpenTelemetry SDKs in Go, Java, or Node.js.
    • Familiarity with SLO management, error budgets, and observability-as-code approaches.
    • Exposure to event streaming (Kafka,rabbitmq), Elasticsearch ,Vault,consul

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