Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Job Description:
About the Role:
We're looking for a senior Site Reliability Engineer (SRE) to join our Platform Engineering team. Someone who is equally at home writing production Go as they are designing cloud infrastructure. You'll build the standards, frameworks, automations, agentic workflows, and self-service capabilities that make engineering teams autonomous while maintaining enterprise-grade reliability and security.
Our Platform SRE team creates the systems and processes that scale engineering excellence: from incident response frameworks and technical standards to purpose-built tooling and automation that eliminates support dependencies. You won't just define standards; you'll implement them in code. Whether that's a Kubernetes Operator that enforces service readiness criteria, a CLI that surfaces SLO health across the fleet, or an internal platform service that automates task execution, you'll ship software that multiplies your team's impact across hundreds of services.
You'll collaborate with feature teams as an expert advisor and standard-setter, helping them build operational maturity while maintaining oversight of our multi-tenant, multi-cloud infrastructure.
Responsibilities:
Early Partnership (10%): Review RFCs and PRDs to prevent downstream issues; provide architectural guidance during planning phases, including API design and service contract review
Platform Tooling & Automation (40%): Design and build internal Go services, CLIs, and automation pipelines that replace manual processes and eliminate support dependencies
Incident Excellence (20%): Design incident response frameworks, escalation procedures, and comprehensive playbooks; build tooling that automates runbook steps and accelerates MTTR, and participate in our on-call program
Standards & Architecture (20%): Define technical standards and operational frameworks, then codify them as enforced policy through admission controllers, operator logic, pipeline gates, etc. Automate policy enforcement not just authoring documentation.
Service Ownership Coaching (10%) — Guide teams through ownership maturity, scorecard compliance, and operational best practices
Requirements:
5+ years in DevOps/SRE roles with a track record of transforming operational models
Production Go experience: you write Go regularly, understand its concurrency model, and are comfortable owning Go services in production
Kubernetes depth: operational expertise plus the ability to extend it: you understand the controller-runtime model and could write or maintain a Kubernetes Operator
Cloud & Infrastructure: expert-level AWS, Terraform, and multi-cloud architecture; strong cost optimization instincts
Production Excellence: deep incident management, RCA processes, and on-call system design experience
Software engineering fundamentals: API design, testing, observability instrumentation, and service lifecycle ownership; you treat internal tooling with the same rigor as customer-facing software
Standards & Documentation: strong technical writing; able to create operational procedures that teams can self-execute
Architecture & Planning: RFC/PRD review experience; you catch operational problems at design time
Collaboration & Coaching: track record of enabling team capabilities through tooling and knowledge transfer, not just doing work for teams
Nice to Haves:
Experience building Kubernetes Operators, controllers, or admission webhooks (controller-runtime, kubebuilder)
Contributions to open source infrastructure tooling
AWS Solutions Architect Professional or equivalent GCP/Azure certifications
Kubernetes certifications (CKA, CKAD, CKS)
Background in platform engineering, developer experience, or internal developer portals (Backstage, etc.)
Experience with GitOps patterns (ArgoCD, Flux) and policy-as-code tooling (OPA, Kyverno)
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.
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 Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. 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.
