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• Work within the DevOps AI Working Group to coordinate AI pipeline efforts across SRE, DevOps, Systems, and Networking teams, ensuring shared standards and preventing fragmented shadow-ops tooling.
Cross-Functional Engineering
• Collaborate directly with SRE, Systems, Network, and Voice Engineering teams to identify high-toil workflows and translate them into automation candidates.
• Build and maintain Model Context Protocol (MCP) server integrations that allow AI agents to safely interact with operational tooling including ServiceNow, Jira, Confluence, and AWS APIs, with appropriate guardrails in place.
• Design all solutions with sovereign isolation requirements in mind, ensuring that UK, AU, and EU sovereign instances operate independently and within compliant data boundaries.
Qualifications
• 5 or more years of software engineering experience with a strong emphasis on backend systems, infrastructure automation, or platform engineering.
• Production-grade experience in Python or Go, with comfort working in polyglot environments. Experience with TypeScript or Node.js is a plus.
• Deep experience with AWS, including IAM, EC2, EKS, RDS, Lambda, CloudWatch, and multi-account architectures.
• Hands-on experience building automation that interacts directly with REST or GraphQL APIs, not simply writing scripts that call CLI tools.
• Familiarity with CI/CD systems such as GitLab CI or GitHub Actions, and with infrastructure-as-code tooling such as Terraform, CDK, or Pulumi.
• Demonstrated ability to build AI-powered workflows using LLM APIs including Anthropic, OpenAI, or equivalent, covering prompt engineering, tool use and function calling, and agentic orchestration patterns.
• Strong understanding of distributed systems, Kubernetes, and cloud-native observability including metrics, logs, and traces.
• Excellent written and verbal communication skills, with the ability to translate complex systems into clear documentation, runbooks, and architecture diagrams.
• A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
Bonus Experience
• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen or AG2, Semantic Kernel, or Smolagents.
• Prior work in regulated or sovereign cloud environments such as FedRAMP, IL4, UK G-Cloud, or AU PROTECTED.
• Familiarity with Backstage developer portals and their integration with CI/CD pipelines.
• Experience with OpenObserve, Grafana, or similar observability platforms at scale.
• Background in SRE, NOC tooling, or incident management automation, especially alert correlation and runbook automation.
• Exposure to Kafka or other distributed messaging systems in a production operations context.
• Prior experience building internal tooling that replaced manual, click-through web interfaces for infrastructure operations.
What Success Looks Like
30 Days
You have completed a deep dive into cluster build and region provisioning workflows and identified the top three automation gaps. You have delivered a first working prototype that automates at least one currently manual step.
60 Days
An end-to-end automation pipeline has shipped for at least one cluster or region build workflow. You are contributing to the DevOps AI Working Group with a clear ownership lane, and an MCP server integration is scoped and in active development.
90 Days
There is a measurable reduction in manual effort for at least one team. AI-driven automation is in active use by SRE or DevOps engineers, and you are established as a trusted collaborator across SRE, Systems, Network, and Voice teams.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.