Senior Production Support Engineer(4+ Years in Azure and AWS infrastructure support and SQL Server administration)
FIS (company site, opens in a new tab)4+ yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 23 Sept
Reach people at FIS
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at FIS you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Provide L2/L3 production support and lead troubleshooting across applications, databases, cloud infrastructure (Azure, AWS), networking, and Kubernetes.
- Participate in incident response, conduct Root Cause Analysis (RCA), develop corrective actions and maintain operational runbooks and recovery procedures.
- Improve service reliability and operational efficiency by enhancing monitoring/observability (Dynatrace, Azure Monitor, AWS CloudWatch), automating tasks, and partnering with Engineering, Infrastructure, Security, and Product teams.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering or equivalent practical experience.
- Proven experience in Production Support, Site Reliability Engineering, or similar operational support role with strong focus on Azure and AWS infrastructure support.
- Hands-on experience with Microsoft SQL Server administration including troubleshooting and performance tuning.
- Experience supporting Kubernetes (AKS), GitHub, ArgoCD, and strong understanding of networking concepts (DNS, TCP/IP, routing, firewalls). Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with cloud-native and microservices architectures, and skilled in multi-layer troubleshooting across infrastructure, applications, and databases.
- Comfortable applying SRE principles including observability, automation, error budgets, SLOs, blameless post-mortems, and operational excellence.
- Able to drive operational improvements by collaborating with development and DevOps teams, and proactive in enhancing platform stability and automation.