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 - $198,800Benefits:
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:
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.
Skills 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
- Knowledge of data structures, algorithms, and system design
- Experience with relational and NoSQL databases
- Hands-on experience with AWS, Azure, or GCP
- Experience with Docker and Kubernetes
- Experience with CI/CD and automated testing
- History of delivering complex projects with minimal supervision
- Strong written and verbal communication skills
- Bachelor's degree in computer science or related field, or equivalent practical experience
- Deep incident management, RCA processes, and on-call system design experience
- Expert-level AWS, Kubernetes, Infrastructure as Code with Terraform, and cost optimization experience
- Strong technical writing skills and ability to create comprehensive operational procedures
- Experience with RFC and PRD review processes, API design patterns, and service architecture
- Track record of enabling team capabilities through collaboration and coaching
- Proficiency in scripting such as Go, Python, or Bash and CI/CD systems
- Experience building LLM-powered applications or agent frameworks, including RAG, tool use, MCP, or multi-agent workflows
- Familiarity with model serving, fine-tuning, or small language model workflows
- Experience with Snowflake, Databricks, BigQuery, or Spark
- Background in knowledge graphs, data integration, or workflow and process automation
- Experience with security, compliance, and governance in regulated industries
- Experience with observability tooling and event-driven architectures
- Experience building enterprise SaaS products at scale
- AWS Solutions Architect Professional or relevant cloud certification
- Experience leading organizational transformation initiatives
- Kubernetes certification such as CKA, CKAD, or CKS
- Background in service ownership models and platform engineering
Uniphore Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uniphore and has not been reviewed or approved by Uniphore.
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Healthcare Strength — Health coverage includes medical, dental, vision, mental‑health resources, and wellness programs, with multiple plan options (including HSA/FSA) indicating robust depth. Plan quality and affordability are highlighted relative to peers.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, and a paid birthday day off. Enhanced parental, caregiver, and bereavement leave extend coverage beyond standard policies.
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Retirement Support — Retirement offerings include a U.S. 401(k) with company match and pension/retirement plans with employer contributions in many countries. These programs support longer‑term financial security alongside core pay.
Uniphore Insights
What We Do
The Business AI Cloud is the only sovereign, composable and secure AI platform that enables businesses to rapidly adopt, significantly transform and immediately unlock the value of their data. Trusted by more than 2,500 of the world’s largest enterprises and recognized by Gartner, Forrester, IDC and the Deloitte Fast 500, Uniphore is where enterprise AI moves from ambitions to production. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.








