Senior Software Engineer – Java Python AI

Winwire Technologies

San Jose (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

A technology solutions provider is seeking a Senior Software Engineer to design and maintain automation systems that enhance support experiences. This role requires 5+ years of software engineering experience, proficiency in Java and Python, and a strong background in API development. The successful candidate will have the chance to build integrations and drive process improvements across engineering and support teams, contributing to high-quality, operationally resilient production systems.

Qualifications

  • 5+ 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 API development including REST/gRPC.

Responsibilities

  • Design, build, and maintain support automation systems.
  • Implement agentic workflows for automated context collection and summarization.
  • Build robust APIs, event-driven pipelines, and automation frameworks.

Skills

Java
Python
Go
API development
Event-driven architectures
LangGraph
LangChain
Cloud-native optimization
Automation frameworks
Collaboration

Education

Bachelor’s or Master’s degree in Computer Science

Job description

  • Senior Software Engineer – Java Python AI
Senior Software Engineer – Java Python AI

Job Type : Full-Time / Direct Hire with WinWire

Job Description :

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.

  • 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
  • Ability to collaborate across engineering, operations, and support teams; Adaptability to fast‑paced iterative environments; Strong communication skills—ability to explain technical concepts clearly; Proactive, ownership‑driven mindset with high accountability
  • Advanced LangGraph / LangChain patterns; RAG optimization, Prompt evaluation frameworks, guardrails
  • Additional integrations (ServiceNow, Zendesk, etc.); Internal tooling, workflows, and automation ecosystem
  • Cloud‑native optimizations (metrics pipelines, distributed tracing, event orchestration)
  • Extended Jira workflow customization and integrations

Skills Preferred:

  • 5+ years of hands‑on software engineering experience with production system development
  • 5+ years of coding experience in Java, Python, or Go; 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 (EDA), retries/idempotency, rate limiting, and error handling
  • 5 years of experience or strong practical knowledge/interest in agentic workflows using tools/frameworks such as – LangGraph, LangChain, Orchestration frameworks, RAG patterns and Evaluation/guardrails
  • Experience developing integrations (e.g., Slack → Jira, lifecycle sync, enrichment); Good understanding of system architecture, scalability, service boundaries, and data flows
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline
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