Sr Software Engineer

Job Title: Sr Software Engineer

Location: San Jose, CA(Onsite)

Duration: Long term contract

Overall 10 Yeras in IT

8 years of hands-on software engineering experience with production system development.

5+ years of coding experience in Java, Python, or Go.
5+ years of Experience in building and shipping production-grade automation services.
5+ years of Experience in API development experience (REST/gRPC, versioning, authentication/authorization, documentation).
5+ years of Experience with event‑driven architectures, retries/idempotency, rate limiting, and error handling.
Good understanding of system architecture, scalability, service boundaries, and data flows.

5+ years of Experience or strong practical interest in agentic workflows using tools/frameworks such as:
LangGraph
LangChain
Orchestration frameworks
RAG patterns
Evaluation/guardrails
Experience developing integrations (e.g., Slack → Jira, lifecycle sync, enrichment).

Key Responsibilities
Design, build, and maintain support automation systems that convert Slack/office-hours requests into structured, high-quality support tickets.
Build integrations and services such as Slack → Jira automation, routing, triage workflows, and lifecycle synchronization.
Implement agentic workflows for automated context collection, triage, summarization, and next-step recommendations.
Build robust APIs, event-driven pipelines, and automation frameworks with strong operational readiness.
Add and maintain observability (logs, metrics, dashboards, alerts) for automation health and reliability.
Deliver end‑to‑end production systems with high quality, maintainability, and operational resilience.
Collaborate with internal teams through documentation, demos, and status updates; iterate rapidly based on feedback. Strong communication skills—ability to explain technical concepts clearly.
Proactive, ownership-driven mindset with high accountability.
Ability to collaborate across engineering, operations, and support teams.
Adaptability to fast-paced iterative environments. Build reliable automation systems that reduce manual support effort and improve response time.
Increase ticket quality through structured triage and automated context enrichment.
Achieve high reliability of automation pipelines through observability and operational readiness.
Drive adoption of automation workflows across partner teams.
Continuously improve automation accuracy, throughput, and end‑user satisfaction. Advanced LangGraph / LangChain patterns
RAG optimization, prompt evaluation frameworks, guardrails
Additional integrations (ServiceNow, Zendesk, etc.)
Cloud-native optimizations (metrics pipelines, distributed tracing, event orchestration)
Internal tooling, workflows, and automation ecosystem
Extended Jira workflow customization and integrations

Please contact

Sankar