Note: The job is a remote job and is open to candidates in USA. Axiad is the identity security company building Axiad Mesh — the identity risk decision platform for the IVIP era. They are seeking a skilled AI-First SRE/DevOps Engineer to help build and run their cloud-native microservices platform, requiring deep operational expertise in Kubernetes and AI-first operations.
Responsibilities
- Own reliability, observability, and delivery for a multi-tenant, cloud-native Kubernetes platform — from design through production, yours to run and yours to improve
- Build (not just operate) CI/CD pipelines, infrastructure-as-code, and GitOps-driven progressive delivery that let a small team ship many times a day, safely
- Embrace and advocate AI-First operations: automate incident response, runbooks, and remediation, and put AI agents in the loop to triage, diagnose, and propose fixes where it makes sense. Treat toil as a bug
- Build the infrastructure that AI-native features run on: inference gateways, LLM cost/latency observability, prompt/version pipelines, eval harnesses, and guardrails for agentic workloads
- Instrument everything — SLOs, error budgets, and distributed tracing across services and data pipelines
- Harden the platform: secrets management, supply-chain security, and least-privilege everywhere
- Troubleshoot and resolve production issues, leveraging AI-powered debugging and observability tooling
- Collaborate directly with product and platform engineers to translate requirements into resilient infrastructure — no throwing tickets over a wall; if you see a problem, it's yours to solve
- Mentor engineers in adopting AI-first operational practices and automation-by-default culture
Skills
- 5–8 years of professional experience in SRE, DevOps, or platform engineering roles
- Builder mentality: you'd rather create a tool, platform, or automation than run a manual process twice. You ship things and stand behind them
- Ownership: you take problems from ambiguity to resolution without waiting for a ticket, a spec, or permission. When something you own breaks, you're the first to know and the first to act
- Strong Kubernetes operational experience — running it in production, not just deploying to it
- Demonstrable adoption of an AI-First mindset and tools (Claude Code, Cursor, or Windsurf). Daily use of at least one AI development tool is a must
- Fluency with infrastructure-as-code, GitOps, and modern CI/CD; comfortable scripting and building tooling (Go or Python preferred)
- Cloud-native depth on at least one major cloud provider
- Solid observability expertise and SLO-driven operations experience
- Experience with containerization (Docker) and service mesh concepts
- Strong problem-solving skills and a collaborative mindset; excellent communication within Agile teams
- A bias for shipping — startup pace energizes you rather than stresses you
- Experience building or operating LLM infrastructure: inference gateways, eval/observability tooling, agentic orchestration
- Data-pipeline and streaming/CDC experience
- Security or identity background; familiarity with post-quantum cryptography or supply-chain security
- Prior experience at an early-stage startup
Benefits
- Equity
- Benefits
- Axiad offers a competitive compensation and benefits.
Company Overview
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