Senior Associate-Technology Operations Engineering

Responsibilities

• Software Engineering & Platform Development
• Serve as a hands-on engineer with experience in supporting complex enterprise applications, platforms, and operational tooling across Distributed environments.
• This role requires and must have 5+ years of distributed experience and knowledge.
• Design, develop, prototype, code, test, and implement scalable software solutions using technologies such as Java, Python, SQL, and related frameworks.
• Act as a technical contributor in change management reviews, root cause analysis, and troubleshooting of complex technical issues.
• Design and implement automation solutions, and engineering practices that improve platform resiliency, operational efficiency, and security.
• Use best practices in incident management, problem management and change management as this role focuses on application production support.
• Runtime Engineering, Reliability & Operations
• Contribute to the technical roadmap for runtime systems, ensuring platform reliability, scalability, availability, recoverability, and performance.
• Establish, monitor, and continuously improve key performance indicators (KPIs), service level objectives (SLOs), and operational metrics (MTTR, MTBF) for platform health and resiliency.
• Perform diagnosis and resolution of production incidents, batch failures, application outages, performance bottlenecks, and infrastructure issues across Mainframe and Distributed platforms.
• Apply Site Reliability Engineering (SRE) principles and operational excellence practices to improve system stability and reduce operational risk.
• Support disaster recovery, high availability, workload management, capacity planning, and business continuity initiatives.
• Distributed Platform Engineering
• Must have experience in Support and optimize enterprise platforms across distributed technologies including Java, Python, C, SQL, NodeJS, Bash, JS/HTML/CSS, Spanner, BigTable, BigQuery, Spring, GraphQL, OOP, MVC, Algos, Git, CoPilot, Jenkins, XLR, Elastic, Jira, AI, ML, Docker, Kubernetes, Kafka, Rest API, GRPC, Grafana.
• Desirable Support and optimize Distributed Platform technologies including cloud infrastructure, Linux/Unix, containers, APIs, Java-based services, distributed databases, and modern application platforms.