Posted on: 05/03/2026
Job Description :
Job Location : Bangalore, Prestige Tech Park, Kaadubeesanahalli
Work mode : Hybrid (3 days from office / 2 days WFH)
We are seeking an experienced Senior & Lead DevOps Engineer with deep expertise in Microsoft Azure, Kubernetes, and Terraform to drive our cloud platform strategy, modernize our infrastructure, and lead a team of DevOps engineers. The ideal candidate will combine strong hands-on technical skills with leadership capabilities to shape best practices, optimize system reliability, and accelerate development workflows.
Key Responsibilities :
- Lead the design, implementation, and maintenance of scalable, secure, and highly available cloud infrastructure on Azure.
- Architect and manage Kubernetes clusters (AKS), ensuring optimal performance, security, and reliability.
- Own infrastructure-as-code development using Terraform, including module creation, environment provisioning, and CI/CD automation.
- Mentor and guide DevOps engineers; promote a culture of automation, reliability engineering, and continuous improvement.
- Collaborate closely with software engineering, architecture, security, and product teams to support delivery pipelines and production readiness.
- Define and enforce DevOps best practices, including GitOps, environment standardization, observability, and operational excellence.
- Implement and optimize CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins.
- Drive monitoring, logging, and alerting solutions using tools such as Prometheus, Grafana, Azure Monitor, ELK/EFK, or similar.
- Conduct performance tuning, cost optimization, and capacity planning across cloud workloads.
- Ensure security and compliance across cloud and containerized environments, including secrets management and network hardening.
Required Skills & Qualifications :
- 6 - 12 + years of experience in DevOps, SRE, or Cloud Engineering roles.
- Strong, hands-on expertise with Microsoft Azure (IaaS, PaaS, networking, identity, storage).
- Deep experience with Kubernetes (AKS) including deployments, operators, Helm charts, and cluster operations.
- Proficiency in Terraform (v1+), including development of reusable modules and production-grade infra-as-code.
- Solid understanding of CI/CD pipelines, automation, and GitOps workflows, Helm Charts.
- Strong scripting skills (e.g., Python, Bash, PowerShell).
- Expertise with cloud networking : VNETs, load balancers, firewalls, routing, service mesh, etc.
- Experience with monitoring and observability tools.
- Familiarity with security best practices : RBAC, IAM, Key Vault, secrets management, DevSecOps practices.
- Excellent communication.
We are global technology services company with a mission to modernize and transform industries that matter by providing world-class IT services, consulting, and implementation solutions. We are the preferred IT partner for both Fortune 500 enterprises and small and medium businesses across the diverse verticals of telecom, retail, government, aerospace, defence, and real estate.
Why Juno Labs :
- Accelerated Time to Market : Reduce your time to market by over 60%
- Cost Optimisation : Optimise resources and redefine efficiency.
- Data-Driven Decisions : Make strategic decisions with confidence1
- Seamless Integration : Minimise disruption and maximise AI adoption into existing systems.
Our Products / Solutions :
Juno Labs provides a comprehensive ecosystem of tools and platforms for every stage of your AI journey.
- Juno Innovate : An AI-enablement starting point with how-to guides, use cases, SDKs, and pre-trained ML models.
- Juno Modelmesh : Elevate your ML Ops to ML automation, orchestrating business process mining and embedding ML Ops intelligence into decision-making.
- GenAI : Building responsible AI and security for proof of concepts, ensuring ethical and accurate outcomes.
- Juno Cloud Automate : Automate and manage infrastructure vulnerabilities, ensuring the best economic impact through provisioning, scaling, and monitoring
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Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1617830