Lead DevOps Engineer
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Job Description
Technical Lead / Engineering Manager – DevOps, SRE & Agentic AI
Experience
8–10 Years
Location: Bengaluru (Hybrid Preferred)
Role Summary
We are looking for a hands-on Technical Lead/Engineering Manager to lead a team of freshers and junior engineers while driving the delivery of DevOps, Site Reliability Engineering (SRE), Platform Engineering, and Agentic AI initiatives. The ideal candidate should be technically strong, capable of mentoring engineers, driving execution, and implementing engineering best practices.
Key Responsibilities
Experience
8–10 Years
Location: Bengaluru (Hybrid Preferred)
Role Summary
We are looking for a hands-on Technical Lead/Engineering Manager to lead a team of freshers and junior engineers while driving the delivery of DevOps, Site Reliability Engineering (SRE), Platform Engineering, and Agentic AI initiatives. The ideal candidate should be technically strong, capable of mentoring engineers, driving execution, and implementing engineering best practices.
Key Responsibilities
- Lead, mentor, and develop a team of junior engineers and freshers.
- Design and improve CI/CD pipelines, Kubernetes platforms, and Infrastructure as Code.
- Drive SRE practices including reliability, incident management, root cause analysis, and operational excellence.
- Implement and standardize observability using modern monitoring and logging platforms.
- Drive adoption of AI-assisted engineering and Agentic AI solutions to improve engineering productivity.
- Collaborate with cross-functional teams to deliver scalable and reliable platforms.
- Kubernetes, Docker, Helm, Terraform / Infrastructure as Code
- CI/CD (GitHub Actions, Azure DevOps, Jenkins)
- Azure, AWS, or GCP
- SRE principles (SLOs, SLIs, Incident Management, RCA)
- Observability tools (Prometheus, Grafana, OpenTelemetry, Dynatrace, Splunk, Datadog)
- Python or Go scripting
- Hands-on experience with Claude/ OpenAI / any genAI tools
- LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks
- RAG-based applications and Vector Databases
- AI-assisted software engineering and automation
- Experience leading and mentoring ,strong communication and stakeholder management skills.
- Ability to drive delivery, establish engineering standards, and foster a culture of ownership, automation, and continuous improvement.
More Info
Key Skills
SLIs
Infrastructure as Code
CI CD
GitHub Actions
OpenTelemetry
SLOs
Observability tools
SRE principles
About Company
Skills:
Infrastructure as Code (IaC), Cloudformation, PowerShell, Bash, Logging, Jenkins, Liquibase, Terraform, Python, Azure DevOps, Git-based version control systems, and alerting, GitLab CI, GitHub Actions, CI/CD pipelines, Monitoring, Security governance and compliance
Skills:
Prometheus, Elk Stack, Sql, Jenkins, Configuration Management, Terraform, Application Security, Ansible, Elasticsearch, Postgres, Aws Cloud, Kubernetes, Infrastructure-As-Code, Container Orchestration, NoSQL databases, Statsd, graphite, Observability tools
Skills:
Nginx, Yaml, PowerShell, PostgreSQL, Kafka, Bash, Apache, Redis, Jenkins, Docker, Linux, Ansible, Elasticsearch, Sonarqube, MongoDB, Oracle, Python, Kubernetes, Harbor, HA Proxy, Cloud concepts, Argo CD, Nexus Repository
Skills:
DAST, Bash, Terraform, ECS, Iam, Waf, Python, AWS, ClickHouse, HashiCorp Vault, Shield, SBOM, Go, VictoriaMetrics, EKS, SCA, Inspector, SAST, GuardDuty, Flux CD, thanos
Skills:
Networking, Agile Methodologies, Prometheus, Bash, Artifactory, Windows, Groovy, Jenkins, Docker, Ansible, Helm, Kubernetes, Python, Azure DevOps, CI CD systems, Loki, GitLab CI, GitHub Actions