Educational Qualification* | Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline. |
Experience Range | 8 years of hands-on software engineering experience with production system development. |
Primary (Must have skills)* - To be Screened by TA Team | Overall 10 Yeras in IT 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). |
Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity) | Role Summary
We are hiring a Senior Software Engineer to build and own automation that scales our support experience—turning Slack/office-hours requests into high-quality, actionable tickets and faster resolutions. You will be a hands-on builder who ships production systems end-to-end and partners closely with stakeholders to drive adoption and measurable outcomes.
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. |
Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated) | 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. |
Expected Outcome | The candidate is expected to deliver the following measurable outcomes:
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. |
Secondary Skills to be planned Post Hiring - Training Plan | 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 |
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