Java/Python SRE Engineer

Atos; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

ATOS in Bangalore seeks an experienced Java/Python SRE Engineer with 6+ years of hands-on expertise to strengthen reliability and observability across platforms. You will work on LLM-powered features, tool integration, and cross-team incident management in a fast-paced environment.

You will drive DR/failover readiness, design scalable architectures, and optimize monitoring with Elastic/Kibana, Prometheus and Grafana, while ensuring service continuity and rapid recovery.

Qualifications

• 6+ years of experience in Java/Python SRE.
• Experience with integrating LLMs into applications.
• Experience with Python FastAPI and Redis.

Responsibilities

• Perform root cause analysis and drive permanent fixes.
• Review changes, support deployments and validate releases.
• Lead incident response and coordinate cross-team actions.
• Design and ship LLM-powered features and agentic capabilities.
• Build AI systems that reason over context and recover from failures.
• Integrate existing AI tools and major AI frameworks.
• Define SLA, error budgets and report reliability metrics.
• Improve observability with Kibana/Elastic, Prometheus and Grafana.
• Develop alerting and automation to accelerate service restoration.
• Coordinate across teams for incident triage and RCA.
• Plan DR and failover testing for critical services.

Skills

Java

Python

SRE

Lang-chain

Langraph

RAG

MCP

Redis

Docker

Kubernetes

Kafka

ELK

Prometheus

Grafana

Tools

Docker

Kubernetes

Kafka

Prometheus

Grafana

ELK

Redis

Job description

Dear Candidature,

Greetings from ATOS !!!

We have Job Openings for Java/Python SRE Engineer.

Exp : 6+Years

Location : Bangalore

Notice period : Immediate to 30 Days

Job Description :

Primary Skills:

Java/Python SRE ,Lang-chain, Langraph, RAG, MCP

Experience with working on LLM's and integrating with the existing applications, Python FastAPI ,Cache - Redis

Secondary Skills:

Observability - ELK (Elastic/Kibana), Prometheus, Grafana

Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka

Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services and event-driven architecture.

Responsibilities:

• Perform root cause analysis, identify recurring failure patterns, track corrective/preventive actions, and drive permanent fixes.
• Review production changes, support deployments, perform pre/post-change validations, monitor critical releases, and support rollback/recovery when required.
• Drive EMIM bridges for application impacts, troubleshoot issues, coordinate dependent teams, provide technical updates, and support faster service restoration.
• Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.
• Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
• Work on integrating the existing AI tools and should know major AI frameworks and libraries.
• Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.
• Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.
• Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.
• Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.
• Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.
• Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.
• Cross-team coordination, incident triage and resolution, leadership and stakeholder management.