Staff Software Engineer (Java/Python with AI)

Job Overview

As a Staff Software Engineer at Uniphore, you will be integral to the design, development, and scaling of the BAIC (Business AI Cloud) Platform our enterprise-grade platform that powers knowledge management, agent orchestration, unified data access, and model serving for customers. This is a 0-to-1 role: you will build new capabilities that are not yet in production, take them to customers, and harden them at enterprise scale. You will partner closely with engineering, product, design, and AI teams to deliver scalable, reliable, and high-performance backend systems across both SaaS and on-premises deployments.

Key Responsibilities Platform Product Delivery

• Own new platform capabilities end-to-end from ambiguous problem framing, through high-level and low-level design, to production rollout and customer adoption.
• Take products and major features from 0 to 1 and iterate with real customers to drive adoption and scale.
• Collaborate with cross-functional teams (product, design, AI/ML, SRE) to translate business and customer needs into pragmatic technical solutions.

Design Engineering Excellence

• Design and build scalable, reliable, low-latency backend services in Java (Spring Boot) and Python (FastAPI).
• Drive rigorous low-level design API contracts, data models, concurrency, failure modes, backpressure, idempotency, and observability.
• Write clean, maintainable, well-tested code and raise the engineering bar through design reviews, code reviews, and mentorship.
• Participate in the full software development lifecycle: requirements, design, implementation, testing, release, and operations.

Deployment, Infrastructure Operability

• Build for both SaaS and on-premises / customer-controlled deployments; make deliberate trade-offs around topology, secrets, network boundaries, and upgrade paths.
• Partner with DevOps/SRE to codify infrastructure in Terraform and ship through GitHub Actions; establish deployment, rollback, and environment-promotion patterns.
• Troubleshoot, debug, and optimize existing services for performance, reliability, and scalability in cloud and on-prem environments.
• Ensure adherence to security and data-privacy standards, particularly for customer-sensitive workloads.

Developer Productivity AI-assisted Engineering

• Use coding agents and modern AI-assisted developer tooling as a routine part of the workflow to amplify throughput while owning the final quality, design integrity, and security of what ships.
• Identify leverage points across the teams workflow and invest in tooling, templates, and patterns that compound productivity.

Required Skills and Experience Experience Education

• Bachelors or Masters degree in computer science, Information Technology, or equivalent practical experience.
• 7 10 years of software development experience, including time spent taking products from 0 to 1 and delivering them to customers at scale.

Backend Coding (Mandatory)

• Backend depth (mandatory): Strong hands-on experience building production backend services distributed systems, APIs, async processing, and performance tuning. This is non-negotiable.
• Low-level design: Demonstrated ability to design complex modules and services data modeling, concurrency, error handling, API and schema evolution, and operability.
• Python (mandatory): Strong, idiomatic, production-level Python.
• Java: Solid working experience in Java and one common framework (e.g., Spring Boot, Vert.x).
• API development: Practical experience with REST and, ideally, gRPC/WebSockets.
• Delivery at scale: Track record of shipping software that real customers use in production owning SLOs, incidents, and iterations.

Data, Cloud Deployment

• Databases: Strong working knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) schema design, indexing, query performance, and transactions.
• Cloud: Practical experience designing and operating services on at least one major cloud (AWS, GCP, or Azure).
• On-prem deployments: Experience packaging and deploying software for customer-controlled / on-prem environments, including the operational realities that come with it.
• Infrastructure-as-code: Hands-on with Terraform writing, reviewing, and maintaining real IaC, not just consuming it.
• CI/CD: Hands-on with GitHub Actions (or equivalent) for build, test, and deployment pipelines.

Ways of Working

• Coding agents: Comfortable using modern codin…