Senior DevOps/SRE Engineer

We are looking for an engineer who understands complex business challenges, loves thinking outside the box and takes initiative. If you are into the latest technology trends, would be excited to work in a great and friendly atmosphere with a great team, join us. Let’s shape the future together!

Key Responsibilities:

· Setup and maintenance of IT cloud infrastructure for multiple products

· Setup and maintenance of the Automated build/deployment jobs

· Maintenance of various support tools and utilities (logs, monitoring, gathering user feedback, etc.)

· Monitoring application performance and resource planning

· Coordinates with development and user teams to assess risks, goals, and needs and ensures that all are adequately addressed

· Coordinates with the client's infrastructure team to align on prerequisites for the job-to-be-done and their expectations

· Development of CI/CD pipeline scripts and templates

Required Qualifications - DevOps:

· Deep understanding of complete software development life cycle and experience in software development

· Strong understanding and hands-on experience with Azure ecosystem

· Strong understanding and hands-on experience with Azure DevOps (Azure Pipelines)

· Strong understanding and hands-on experience with Kubernetes (AKS)

· Strong understanding and hands-on experience with Docker

· Strong understanding and hands-on experience with networking concepts

· Experience with Terraform and Powershell

· In-depth knowledge of SCM tools (preferably Git)

· Proactive problem-solving and ownership mindset

· Strong communication and collaboration skills

Additional Required Qualifications - SRE

· Deep, practical understanding of SRE principles with demonstrated ownership of production reliability

· Proven experience defining, enforcing, and evolving SLIs, SLOs, and error budgets for complex systems

· Hands-on responsibility for high-availability, mission-critical platforms operating at scale

· Expert-level experience with observability systems (metrics, logs, traces) and building signal-driven alerting that minimizes noise

· Ability to diagnose and resolve systemic issues across Kubernetes, cloud infrastructure, networking, and application layers

· Demonstrated experience in capacity planning, performance engineering, and cost-aware scaling

· Expertise in designing and enforcing resilience and failure-tolerant architectures (self-healing, redundancy, graceful degradation)

· Strong production change discipline, including safe rollouts, rollback strategies, and risk management