Lead DevOps Engineer (Azure)

In this role, you will build and evolve secure, scalable Azure Cloud platform capabilities that enable engineering teams to deliver reliable, high-quality solutions faster. You will work with modern cloud technologies, Kubernetes, Infrastructure as Code, and automation to create resilient, secure, and highly available platform services. You will collaborate with engineering, architecture, security, and product teams to drive cloud innovation and support the delivery of business-critical applications.

RESPONSIBILITIES

• Lead the design, implementation, and evolution of Azure-based cloud platforms and infrastructure
• Define and promote engineering standards, DevOps best practices, and platform architecture principles
• Drive the adoption of Infrastructure as Code, automation, and modern CI/CD practices across engineering teams
• Lead the architecture and operation of Kubernetes (AKS) platforms and containerized workloads
• Collaborate with engineering, architecture, security, and product teams to deliver reliable and scalable platform solutions
• Review infrastructure designs, deployment strategies, and implementation approaches to ensure quality and consistency
• Drive improvements in platform reliability, observability, performance, resilience, and operational excellence
• Establish and promote cloud governance, security, compliance, and cost optimization best practices
• Evaluate and introduce emerging technologies, including AI-powered engineering tools and platform capabilities
• Contribute to technical roadmaps, platform modernization initiatives, and long-term engineering strategy
• Remain actively involved in hands-on engineering while providing technical leadership

REQUIREMENTS

• Strong hands-on experience designing and operating enterprise-scale Azure platforms, including architecture, networking, security, governance, resilience, and observability
• Proven technical leadership with hands-on expertise in IaC, CI/CD, automation, Kubernetes, and cloud-native engineering
• Experience defining engineering standards, driving platform modernization, mentoring engineers, and influencing technical direction across teams
• Strong communication, stakeholder management, and ownership mindset
• Experience with AWS and/or multi-cloud (an advantage)
• Experience with AI platforms and workloads such as LLMs, RAG, vector databases, AI agents, security, and governance (nice to have)
• Knowledge or experience with NVIDIA technologies, Omniverse, Digital Twins, simulation, GPU workloads, or MCP (nice to have)

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.