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Stanislas Andujar

Stanislas Andujar

Platform engineer · DevOps · AI agent builder

Eight years building cloud platforms and CI/CD pipelines at scale. Now shipping AI agents to production — autonomous or leading a team.

Montpellier, France github.com/standujar linkedin x.com/stan_andujar s.andujar@proton.me
Book a 30-min intro Download CV llms.txt ↗

By the numbers

  • 0 ● live

    merged PRs (since 2025)

    across 50+ repos · refreshed hourly via GitHub API

  • 0 ● live

    PRs reviewed (since 2025)

    public reviews on OSS projects

  • 0 ● live

    stars on contributed repos

    sum of top public repos I contribute to

  • 20M+

    regular viewers reached

    Bedrock streaming platform

  • 450+

    apps on CI/CD platform

    Enedis · French national grid

  • 1000+

    Kubernetes nodes operated

    Bedrock streaming infra

GitHub sync · (cached)

Now

Wrapping up Soulmates at Eliza Labs.

Soulmates lives entirely in WhatsApp. No app, no profile builder, no swipes. You text an AI agent, it onboards you, it profiles you, it matches you, and it coaches you through the conversation that follows. I led the architecture from day one — LLM-driven pipeline, scale-to-zero agents on GKE, async matching engine, and a custom E2E framework that simulates users against the live agent and grades the run with an AI judge.

My mission is wrapping up. I'm shipping the last mile — and looking for the next platform/staff role where DevOps, backend and AI workloads meet.

Updated April 2026

Why hire me

What I bring, concretely.

  1. Scale-ready out of the box

    Operated production platforms at 20M+ regular users, 1000+ K8s nodes, 450+ apps on a CI/CD forge.

    Bedrock · Enedis

  2. Open source operator, not just consumer

    387+ merged PRs across 50+ public repos. 143 PR reviews. 104 PRs merged in elizaOS (18.3k ⭐).

    GitHub · live count

  3. Full-stack platform mind

    I write Go credential rotators, TypeScript backends, Postgres RLS layers — and the Helm charts, Kubernetes operators, CRDs, and custom CI/CD pipelines that ship them. No silo.

    Bedrock · elizaOS

  4. AI in production, not in notebooks

    Soulmates: scale-to-zero AI agents on GKE, custom conversational E2E with simulated users + AI judges.

    Eliza Labs

  5. Senior IC who multiplies a team

    Close to a year of unpaid open-source contribution on elizaOS before being hired full-time. Tech lead on Soulmates from day one. At Bedrock, L3 support for ~10 product teams and DevOps coaching across 50+ teams. Lead engineer on EDF's Horizon 2030 transformation tracks.

    elizaOS · Soulmates · Bedrock · EDF

  6. Cost-conscious by default

    Rebuilt Bedrock load testing platform: ×10 capacity at 90% lower cost. FinOps belongs in platform decisions.

    Bedrock

Career arc

The career arc, in plain language.

The thread: I build the substrate that lets product teams ship faster — and now, that substrate has to handle AI workloads in production.

  1. Technical Lead, Soulmates · Eliza Labs

    Remote

    AI matchmaking on WhatsApp/SMS · no app, no forms — entire experience is a conversation with an LLM-driven agent.

    • Led full technical architecture — every decision from infra to product surface, owned end to end.
    • Designed the entire AI pipeline — conversational onboarding, matching and coaching, fully LLM-driven.
    • Tech lead on a 3-person cross-functional team (product + 2 devs) from day one.
    • Shipped 100+ PRs in 6 weeks while running architecture, spec and team coordination in parallel.
    • Built and deployed full production infrastructure on GKE — scale-to-zero agents, async matching and notification pipeline, complete CI/CD.
    • Built a custom E2E framework from scratch for conversational AI — simulated users via LLM, AI-judge scoring, full pipeline coverage. Made non-deterministic agent behavior reliably testable.
    • TypeScript
    • AI agents
    • GKE / Kubernetes
    • KEDA
    • Terraform
    • PostgreSQL
    • Redis
    • Twilio
    • Stripe
    • Anthropic API

    elizalabs.ai

  2. Full-Stack Engineer, elizaOS Core · Eliza Labs

    Remote · San Francisco

    elizaOS — leading open-source AI agent framework (18k+ stars). elizaOS Cloud — SaaS used by 10,000+ users.

    • Core contributor on elizaOS (18k+ ⭐) — the leading open-source AI agent framework.
    • Architected major Cloud platform work — unified messaging API, centralized server package, serverless/Node unified runtime, multi-tenant Postgres isolation with row-level security.
    • Built and maintained core plugins shipped to the entire ecosystem — Discord, Solana, OpenRouter (streaming), WhatsApp, n8n.
    • Standardized logging, TypeScript build pipeline and test infrastructure across the org.
    • Started as unpaid OSS contributor (Apr 2025), joined as paid team member after a year of consistent shipping.
    • Running both elizaOS Core and Soulmates simultaneously since Feb 2026.
    • TypeScript
    • Node.js
    • PostgreSQL / RLS
    • Docker
    • Plugin architecture
    • LLM integration

    elizaos.ai

  3. DevOps Engineer — Core Infrastructure · Bedrock Streaming

    Lyon · hybrid · freelance

    European streaming platform — 20M+ regular viewers. Embedded in the core DevOps team that runs the entire Kubernetes infrastructure (1000+ nodes) for 50+ product teams shipping continuously.

    • Full Argo Rollouts integration — progressive canary strategies with automated rollback on business metrics (Apdex, error rate, success rate, custom KPIs).
    • Serverless credential rotation system in Go — synced across AWS, Fastly and internal services.
    • Hybrid EC2/ECS load testing platform — ×10 capacity at 90% lower cost.
    • Go API Gateway for multi-cloud Kubernetes pre-scaling via SQS / EventBridge.
    • Infrastructure standardization — Terraform module refactor, GitHub Actions centralization.
    • L3 support across 6+ engineering teams. Open-source contributions to ArgoCD and Argo Rollouts (KEDA, Gloo support).
    • Go
    • AWS ECS / EKS
    • Argo Rollouts
    • ArgoCD
    • Fastly
    • Terraform
    • GitHub Actions

    www.bedrockstreaming.com

  4. DevOps Engineer · EDF

    Lyon · permanent

    EDF — France's largest electricity producer. CI/CD platform serving multiple Java/Angular product teams.

    • Built a full CI/CD platform for multiple Java/Angular product teams.
    • On-demand environment provisioning via Terraform + AWS Lambda.
    • Quality gates with SonarQube, artifact management with Nexus.
    • Observability stack — CloudWatch and Grafana, end-to-end.
    • GitLab CI
    • Terraform
    • AWS Lambda
    • SonarQube
    • Nexus
    • Grafana

  5. Tech Lead DevOps → Chaos Engineer · Klanik · Enedis mission

    Lyon · permanent

    Enedis — France's number one electricity distribution network. Critical national infrastructure.

    • GitLab CI forge supporting 450 applications — 40+ modular templates, autoscaling runners, Vault, Nexus, automated DRP.
    • Industrialized CI/CD across 450+ apps — reusable template library, automated security scans on every pipeline.
    • Chaos engineering program — large-scale GameDays (100+ participants) simulating DDoS, database corruption, exposed secrets on resilient EKS clusters.
    • Kubernetes / EKS
    • GitLab CI
    • Vault
    • ArgoCD
    • Prometheus

  6. DevOps Consultant · Lizeo

    Lyon

    Lizeo — automotive data company. Multi-project Kubernetes operations.

    • Multi-project Kubernetes operations across product teams.
    • Prometheus / Grafana observability rollout.
    • Internal training programs on Docker, GitLab CI and Terraform.
    • Kubernetes
    • Prometheus
    • Grafana
    • Docker
    • Terraform

Stack & architecture

The stack I run, end to end.

A request hits the top of this stack and travels down. Hover any tile to see exactly where I put it to work.

AI / agents

LLM-driven products in production

  • elizaOS
  • Anthropic API
  • OpenAI / OpenRouter
  • Agent design
  • RAG / memory

Backend & data

Where the application logic lives

  • Node.js / TypeScript
  • Go
  • PostgreSQL · RLS
  • Redis
  • Drizzle ORM

Platform & delivery

How code reaches production safely

  • Argo Rollouts
  • ArgoCD
  • GitHub Actions
  • GitLab CI
  • Helm / Charts

Infrastructure

The substrate everything runs on

  • AWS · EKS
  • GCP · GKE
  • Kubernetes
  • KEDA
  • Terraform
  • Cloudflare

Projects & organizations

Where my commits land. ● live

These numbers are fetched live from the GitHub API on every visit, cached for one hour.

Organizations

+ 847 additional contributions on private repositories.

Featured open source

A handful of merged PRs.

Skills

  • Languages

    • TypeScript
    • Go
    • Python
    • Shell

  • Cloud & infra

    • AWS
    • GCP / GKE
    • Kubernetes
    • KEDA
    • Terraform
    • Helm
    • Docker
    • Argo Rollouts

  • CI/CD & DX

    • GitHub Actions
    • GitLab CI
    • ArgoCD
    • Dagger
    • Bun
    • Vitest / E2E

  • Backend & data

    • Node.js
    • PostgreSQL
    • Redis
    • Drizzle ORM
    • REST / API design

  • AI / LLM

    • elizaOS
    • Anthropic API
    • OpenAI API
    • Agent design
    • RAG / memory

  • Frontend

    • React / Next.js
    • TailwindCSS
    • Astro

About

Who am I?

Available from May 2026

Open to platform · staff DevOps · AI infra roles

Eight years of platform and DevOps work, two of them embedded with AI engineering teams. I sit at the intersection where infrastructure, application code and AI workloads have to ship together — and where most companies still don't have a clear playbook.

What I'm looking for next

Book a 30-minute intro call

  1. The role

    Autonomous, with a tech-lead reflex

    I want to own a topic end-to-end: set the technical direction, mentor the juniors around me, translate complex tech into something the product team can act on, and run the rituals — planning, Scrum, realistic deadlines.

  2. The ground

    Topics that need to be built, scale up, and matter

    A construction phase, on platform or backend — including projects that lean heavier on application code than on DevOps. Topics that have to scale, that matter to the product, and where optimization — cost, performance, infrastructure — is a first-class concern.

  3. The setup

    Remote anywhere, or hybrid in Montpellier

    Fully remote (Europe, US, anywhere with sane time-zone overlap), or hybrid based in Montpellier. Occasional travel within France works fine. A team with a flat hierarchy that lets engineers do their work.

Beyond the keyboard

Based in Montpellier (France). A few personal projects in open source — DCA automation across Solana and EVM, a Soulmates-adjacent matchmaking bot — and more broadly, I automate everything I can so I get more time for the rest of life. I read more SRE postmortems than is reasonable. Off-screen: cycling, climbing, and cooking that takes its time.

Stanislas Andujar
Book a 30-minute intro call Email me s.andujar@proton.me

Contact

Let’s talk.

Best path: a 30-minute call. A detailed email works just as well.

Book a 30-min intro Email me s.andujar@proton.me Download CV llms.txt ↗