Sr. Software Engineer

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.
Job Description:
About the Role
As a Senior Software Engineer, you'll build core parts of the Business AI Cloud: the services, pipelines, and agent infrastructure that let Fortune 500 customers deploy governed AI in production. You'll own complex features end to end, set the technical bar for your team, and mentor other engineers. You'll work closely with product, design, and applied AI teams.
What You'll Do
Design and build scalable, secure, production-grade services across the Data, Knowledge, Model, or Agentic layers of the platform
Develop systems for multi-agent orchestration, model routing, and low-code agent building
Build integrations and data connectors that work with customers' existing stacks (CRMs, ERPs, data lakes, and cloud data platforms) without migrating or copying data
Contribute to guardrails, observability, RBAC, and governance capabilities that keep AI behavior predictable and compliant
Lead technical design discussions and write clear design docs
Run thorough code reviews and uphold standards for quality, security, and performance
Mentor junior and mid-level engineers
Partner with product and customer-facing teams to turn enterprise requirements into well-scoped solutions
Take part in on-call rotations and help resolve production issues
Help improve engineering practices, tooling, and CI/CD
Early Partnership (25%) - Review RFCs and PRDs to prevent downstream issues, provide architectural guidance during planning phases
Self-Service Enablement (25%) - Create documentation, knowledge bases, and tooling that eliminate support dependencies
Incident Excellence (20%) - Design incident response frameworks, escalation procedures, and comprehensive playbooks that teams can self-execute
Standards & Architecture (20%) - Define technical standards, operational frameworks, and service readiness criteria that enable team autonomy
Service Ownership Coaching (10%) - Guide teams through ownership maturity, scorecard compliance, and operational best practices
Maintain multi-tenant, multi-cloud infrastructure while building the systems that make your expertise scalable
What You'll Bring
Required
5+ years of professional software engineering experience
Strong proficiency in one or more of Python, Java, Go, or TypeScript
Experience building distributed systems, APIs, and microservices
Solid grounding in data structures, algorithms, and system design
Experience with relational and NoSQL databases
Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and with containers (Docker, Kubernetes)
Experience with CI/CD and automated testing
A history of delivering complex projects with minimal supervision
Strong written and verbal communication skills
Bachelor's degree in computer science or a related field, or equivalent practical experience
Production Excellence - Deep incident management, RCA processes, and on-call system design experience
Cloud & Infrastructure - Expert-level AWS, Kubernetes, Infrastructure as Code (Terraform), cost optimization
Standards & Documentation - Strong technical writing skills, ability to create comprehensive operational procedures
Architecture & Planning - Experience with RFC/PRD review processes, API design patterns, service architecture
Collaboration & Coaching - Track record of enabling team capabilities rather than doing work for teams
Proficiency in scripting (Go, Python, Bash, etc.) and CI/CD systems
Strong bias toward simple solutions and systems thinking approach
Nice to Have
Experience building LLM-powered applications or agent frameworks (RAG, tool use, MCP, multi-agent workflows)
Familiarity with model serving, fine-tuning, or small language model (SLM) workflows
Experience with data platforms such as Snowflake, Databricks, BigQuery, or Spark
Background in knowledge graphs, data integration, or workflow and process automation
Experience building for security, compliance, and governance in regulated industries (SOC 2, ISO 27001, GDPR, HIPAA)
Experience with observability tooling and event-driven architectures
Experience building enterprise SaaS products at scale
AWS Solutions Architect Professional or relevant certifications (GCP, Azure, etc.)
Experience leading organizational transformation initiatives
Kubernetes certifications (CKA, CKAD, CKS)
Background in service ownership models and platform engineering
Hiring Pay Range:
$159,000 - $198,800
Benefits:
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:
USA - CA - Palo Alto
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.