Roles and Responsibilities :

- Build and run COS as a secure cloud-native platform (containers, Kubernetes, OpenStack), using infrastructure/configuration as code.
- Introduce AI-enabled operations (AIOps) and MLOps/LLMOps practices: automate detection/diagnosis, and set up safe, observable delivery and monitoring of AI components.
- Execute deployments, upgrades, and configuration changes; troubleshoot by reproducing issues, restoring service, and running performance/load tests as needed.
- Improve secure CI/CD for platform and services: testing, scanning, policy checks, controlled releases, and compliance (risk assessments, audits, configuration baselines).
- Apply SRE practices to improve availability, scalability, and performance, and drive proactive monitoring and reliability improvements.
- Take operational ownership with the team: runbooks, on-call readiness, incident/problem management, SLA follow-up, access management, and service performance reporting.

- Tech stack spans cloud-native microservices (e.g., Go, Svelte, Kubernetes), telemetry backends (e.g., Cortex), and data systems (e.g., Postgres/Cassandra/Kafka).

Job Requirements :





- 6+ years in DevSecOps or platform engineering in a cloud-native environment, with end-to-end ownership across build and run.

- Tech stack spans cloud-native microservices (e.g., Go, Svelte, Kubernetes), telemetry backends (e.g., Cortex), and data systems (e.g., Postgres/Cassandra/Kafka).

- Strong CI/CD and automation skills, including security checks (SAST/SCA, image scanning, policy checks) and controlled releases.
- Solid understanding of cloud-native observability (Grafana, Prometheus, Loki) and instrumentation with OpenTelemetry.
- Comfortable working across a broad tech stack and learning new tools and concepts quickly.
- Transparent communicator who collaborates globally and can explain our work across development, operations, and security. You enjoy mentoring and sharing practices in the team/community.
- Proactive problem-solver who thrives in hands-on engineering and structured delivery, and enjoys making production systems secure, predictable, and observable.
- Merit: AI platform engineering (MLOps/LLMOps), deploying/monitoring LLM services, RAG pipelines, and embeddings/vector search. Ericsson experience is a plus.

📌 DevSecOps Engineer (Bengaluru)
🏢 Ericsson
📍 Bengaluru