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 Site Reliability Engineer (SRE) to join our Platform Engineering team. Someone who is building toward equal fluency in production Go and cloud infrastructure, and who is excited to grow in both. You'll contribute to the standards, frameworks, 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 follow runbooks; you'll help build them. You'll write Go to automate operational work, contribute to internal CLIs and platform services, and take on increasing ownership of the systems that keep our multi-tenant, multi-cloud infrastructure running.
This is a high-growth role for someone who wants to develop deep platform engineering expertise and is serious about becoming a strong Go engineer alongside their infrastructure work.
Responsibilities:
Platform Tooling & Automation (25%) — Contribute to and maintain internal Go services, CLIs, and automation pipelines that reduce manual toil and eliminate support dependencies
Self-Service Enablement (25%) — Create documentation, runbooks, and knowledge bases that allow feature teams to operate independently; identify gaps in existing materials and close them
Incident Response (20%) — Participate in on-call rotations, execute and refine incident response procedures, contribute to postmortems, and help improve escalation playbooks
Standards & Architecture (20%) — Learn and apply technical standards and operational frameworks; contribute to RFC and PRD reviews as you develop architectural instincts
Service Ownership Coaching (10%) — Support feature teams in building operational maturity, scorecard compliance, and self-service capability
Requirements:
3–5 years in DevOps/SRE or related cloud infrastructure engineering roles
Go proficiency: you've written Go in a professional or serious project context, understand the language well enough to own and debug production code, and are actively developing your skills
Kubernetes fundamentals: hands-on experience deploying, troubleshooting, and operating workloads in Kubernetes; comfortable with manifests, RBAC, networking basics, and cluster observability
Cloud & Infrastructure: solid AWS experience and working knowledge of Terraform; exposure to multi-cloud environments is a plus
Operational instincts: experience with incident response, on-call, and postmortem processes; you know what good looks like even if you're still building toward it
Software engineering fundamentals: you write code to solve operational problems, not just to script one-offs; you care about testability, readability, and maintainability
Communication & documentation: strong written communication; able to translate operational complexity into clear runbooks and team-facing guidance
Collaborative mindset: you ask good questions, seek feedback, and default toward enabling others over owning work yourself
Nice to Haves:
Exposure to Kubernetes internals — controllers, admission webhooks, or custom resources — even through study or side projects
Familiarity with GitOps patterns (ArgoCD, Flux) or policy tooling (OPA, Kyverno)
Experience with observability tooling (Datadog, Prometheus, Grafana) and SLO/SLI design
AWS certifications (Solutions Architect Associate or equivalent)
Kubernetes certifications (CKA or working toward it)
Contributions to open source infrastructure tooling
Experience with GCP, Azure, Oracle Cloud, and hybrid On-Prem/Cloud models
Why You'll Love This Role:
Grow in multiple dimensions at once: this role will make you a stronger infrastructure engineer and a stronger Go engineer simultaneously
High ownership, real scope: you'll contribute to platform services that affect dozens of teams and hundreds of services, not just support tickets
Mentorship from senior engineers: you'll work alongside team members who care about you and your growth while solving real, complex, and intellectually stimulating problems
Ship software that scales your expertise: the highest-leverage work here isn't a runbook; it's the automation that enforces it; you'll write Go that runs in production and multiplies your impact across the engineering organization
Drive our transformation from reactive support to strategic platform engineering partnership
Scale self-service capabilities that are already reducing support escalations and increasing team velocity
Tackle meaningful operational problems— from multi-tenant architecture to cross-service observability — with senior guidance and growing autonomy
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.
-
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.
-
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.
-
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.
