Senior Software Engineer; AI

At the company, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

the company’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed? In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients
• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

• Build AI-driven deployment gates:
  Design and ship decision systems that evaluate customer deployments using CI/CD context and the company telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout:
  Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety:
  Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product:
  Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the the company platform:
  Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems:
  Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner:
  You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day‑to‑day workflows and validate, critique, and refine AI-generated output

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (the company employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with the company.

the company is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.