Senior Technologist SRE- Q3 FY 26

One of Spring Boot / Node JS / Python based micro services exposure is mandatory.
Must have worked with Kubernetes clusters and service mesh as a platform for workload deployment in hybrid and multi cloud environments.
Must be skilled in Dev Sec Ops principles and able to specify scanning profiles for high quality deliverables.
Good understanding of the Observability space such as system and application monitoring methodologies using agents and dashboards is required. Expertise of any of ELK stack/Dynatrace/ New Relic/ Splunk/Datadog/App Dynamics/Prometheus using Open Telemetry agents will be an advantage.
Good understanding of SRE practices like Risk templates, Error budgets, SLOs, runbooks, RCA, post-mortems and backlog curation will be desirable.
Should be proficient in analysis of performance bottlenecks using tools like AWR reports, slow query logs, Thread dump, core dump, heap dump analyzers and other tools relevant for specific technologies
Exposure to Log Analysis using common pattern analysis and activity trace identification from minimalistic production logs. Knowledge of web server configurations and logs (Apache /Ngnix), Server logs and DB trace logs etc.
Ability to automate using AI techniques such as RAG and agentic processes is desirable.
Knowledge of browser and client application profiling using tools available on browser and mobile apps.
OS experience in Linux or other Unix systems. Adept in shell scripting, PowerShell scripts and other command line utilities for cloud and automation providers.
DB persistence using JPA, JDBC on Oracle/ MySQL/MS SQL
Experience in cloud-based platforms like Pivotal Cloud Foundry, Open Shift/GCP/ AWS/Azure

Work arrangement
Hybrid