Myplan8®

Job Description: Support Engineer Location: Navi Mumbai (Client Side Role) Qualification Required: Min. Bachelors in Computer Science & IT or Equivalent Experience: M in. 1 Year Day Shift Focus (API & Business Ops) Ensure Myplan8 APIs are operational, responsive, and functioning as expected. Monitor data ingestions and calculations, and coordinate with the product team to take corrective actions for any anomalies Respond to Client’s solution-side queries Proactively monitor Redis and MongoDB performance. Validate successful cache refreshes and invalidation events. Investigate API errors (403, 500, timeouts), log findings, and coordinate fixes with DevOps if needed. Coordinate with the Client infra team in case server provisioning is required Communicate effectively with both Myplan8 Engineering and Client Operations teams. Support MongoDB replica set integrity, backup verification, and cache health checks. Container monitoring: Track service uptime, memory/CPU, auto-restart logs. Skills Required DevOps & Infrastructure Monitoring Strong experience with Docker: container creation, management, scaling, log inspection, and resource limiting (memory/CPU). Familiarity with container orchestration basics for scaling out services (manual or scripted). Hands-on with service monitoring and auto-restart policies using Docker (restart=always, healthcheck directives). Proficient in Linux system administration (RHEL 9.x preferred): cron jobs, system logs, network tools, permissions, and process management. Comfortable using basic shell scripting for automation and log parsing (e.g., Bash, Python). Exposure to version control with Git, particularly managing containerized deployments and rollback procedures. Understanding of networking and firewall rules for private IP-based service isolation and communication. Understanding of resource monitoring (top, htop, docker stats, etc.) to proactively manage noisy neighbor issues. Database & Cache Management Experience with MongoDB: working with replica sets, collections, indexing, query optimization, and backup/restore procedures. Ability to monitor MongoDB performance and respond to connection pool issues, replication lag, and large collection scans. Familiar with MongoDB containerized deployment: managing persistent volumes and environment configurations. Practical knowledge of Redis: key expiration (TTL), memory usage monitoring, eviction policies, and event-driven invalidation handling. Experience in debugging cache inconsistencies, especially where cache sits between APIs and underlying databases. Understanding of data flow between ingestion, ETL processing, and API layer, with ability to verify consistency across systems. API Monitoring & Testing Proficient in API testing and validation using tools like Postman , curl , or command-line scripts. Experience writing automated API health checks for key endpoints Strong grasp of token-based authentication , session handling, and header configurations in secure environments. Familiar with response validation (status codes, schema, latency) and debugging API failures (timeouts, 4xx/5xx errors). Capable of root cause analysis when APIs fail due to backend data or cache issues. Understanding of audit logging and traceability for each API request/response cycle within the Client’s compliance scope. Security & Access Control Familiarity with secure configuration of environment variables, private IP whitelisting, and network isolation. Knowledge of role-based access and operational discipline in controlled enterprise environments Understanding of private access controls such as firewall whitelisting , IP-based restrictions, and access segmentation across client’s internal infrastructure. Experience working within controlled enterprise environments , particularly in regulated sectors (e.g., banking or government), with strict change management , access audit trails , and compliance requirements . Ability to respond to and escalate alerts or anomalies in line with SOPs for high-availability environments and incident management protocols .