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Stanislas Andujar

Stanislas Andujar

Platform engineer · DevOps · AI agent builder

8 years building cloud platforms and CI/CD pipelines at scale. Today I design and build AI and crypto products in production — agent layer to infrastructure, full-stack. Looking for a role where DevOps, backend, AI and crypto actually meet.

Montpellier, France github.com/standujar linkedin x.com/stan_andujar [email protected]
Book a 30-min intro Download CV llms.txt ↗

By the numbers

  • 0

    merged PRs (since 2025) ● live

    across 50+ repos · refreshed hourly via GitHub API

  • 0

    PRs reviewed (since 2025) ● live

    public reviews on OSS projects

  • 0

    stars on contributed repos ● live

    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 ·

Now

Wrapping up Soulmates.

Soulmates is an AI-powered dating product that lives entirely in WhatsApp — no app, no profile builder, no swipes. You text an AI agent, it onboards you, profiles you, matches you, and coaches you through the conversation that follows. The whole UX is the conversation. 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.

In parallel, I work on the elizaOS core at Eliza Labs — open-source Web3-native AI agent runtime (18k+ ⭐, ~680 contributors, $elizaOS token peaked at ~$2.6B mcap, partnerships with Stanford and Chainlink). I started as a volunteer, was hired full-time, and now ship one of the largest contribution volumes on the project (104 merged PRs on the core).

My mission is wrapping up. Looking for a full-stack backend role with a strong DevOps appetite.

Updated April 2026

Why hire me

What I bring, concretely.

  1. Comfortable with scale

    I make decisions for systems that have to stay up under real load — capacity, observability, blast-radius control, performance regression. That's what I did at Bedrock (20M+ regular users, 1000+ Kubernetes nodes) and on the Enedis CI/CD forge serving 450+ applications.

    Bedrock · Enedis

  2. Full-stack platform mind

    I own a vertical end-to-end — the application code AND the infra that ships it. No throwing things over the wall. That's how I've built Go credential rotators, TypeScript backends, Postgres Row-Level Security layers, the Helm charts and Kubernetes operators that ship them, the CRDs, and the CI/CD pipelines around them.

    Bedrock · elizaOS

  3. AI workloads with SRE rigor

    AI workloads deserve the same operational care as any other production system — observability, scale-to-zero economics, regression testing for non-deterministic behavior. That's the lens I brought to Soulmates, where conversational agents run on GKE behind a custom E2E framework: simulated users and an AI judge catching behavioral drift before it reaches users.

    Eliza Labs

  4. Senior IC who multiplies a team

    Autonomous on complex initiatives, and the kind of senior who makes the team around them stronger — mentoring, code review at scale, technical direction. It's how I spent nearly a year contributing open source to elizaOS before being hired full-time, ended up tech lead on Soulmates from day one, ran L3 support for ~10 product teams plus DevOps coaching across 50+ teams at Bedrock, and led EDF Horizon 2030 transformation tracks.

    elizaOS · Soulmates · Bedrock · EDF

  5. Cost as an architecture signal

    FinOps belongs on the platform dashboard alongside latency and error rates, not in a separate finance ticket. I treat cost as a first-class architecture decision. The Bedrock load-testing rebuild was the clearest version of that: ×10 capacity for 90% lower cost — same workflow for the teams, completely different bill.

    Bedrock

  6. Transparent delivery, defendable estimates

    I don't disappear into the code for two weeks and resurface with a black-box result. I keep a live dashboard of where a project stands, communicate often (often more than the team is used to), break work down into estimates I can defend, and balance several streams in parallel without dropping any. Solo or embedded in a team, the rhythm doesn't change.

    Across all engagements

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

    Soulmates — an AI-powered dating product, lives entirely on WhatsApp/SMS. No app to install, no profile builder. The whole experience is a conversation with an LLM agent that profiles, matches, and coaches.

    • End-to-end technical architecture, from product surface to infrastructure. Tech lead on a 3-person cross-functional team (product + 2 devs), 100+ PRs merged in six weeks.
    • Owner of the GKE landing zone (Terraform) — VPC, CloudNativePG, NGINX Ingress, cert-manager, ExternalDNS, SigNoz observability, self-hosted GitHub runners, Artifact Registry — provisioned end to end.
    • Application stack — Next.js admin dashboard (funnels, trajectories, matches, safety, conversations), Stripe API for the Connection Fund, WhatsApp Cloud gateway with voice-note STT/TTS via Vertex, containerized async workers (matching + notifications), Postgres schema + Drizzle ORM.
    • Designed the full AI pipeline — conversational onboarding, matching, coaching — all LLM-driven.
    • Rebuilt the matching engine as a 4-stage semantic pipeline (pgvector top-50 → SQL filters → 6-dim LLM scoring → Gale-Shapley) with per-pair score cache — ~$50/tick → ~$1-2/day.
    • Custom E2E framework for conversational AI — LLM-simulated users, AI-judge scoring, full pipeline coverage. Makes non-deterministic agent behavior reliably testable.
    • TypeScript
    • Next.js
    • React
    • GKE / Kubernetes
    • KEDA
    • Terraform
    • Helm
    • PostgreSQL
    • CloudNativePG
    • pgvector
    • Drizzle ORM
    • Redis
    • GitHub Actions
    • Stripe
    • WhatsApp Cloud API
    • Vertex AI

    elizalabs.ai

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

    Remote · San Francisco

    elizaOS — the leading open-source runtime for Web3-native AI agents: 18k+ ⭐ on GitHub, ~680 contributors, 370+ community plugins. Built by Eliza Labs (creators of auto.fun and the $elizaOS token, peaked at ~$2.6B market cap). Agents that transact on-chain across Solana and the full EVM stack (Ethereum, Polygon, Base, Arbitrum, BNB…) via Chainlink CCIP, Jupiter, Squid Router.

    • **Top 1% contributor** on elizaOS — 104 merged PRs on the core out of ~680 total contributors. Joined as unpaid OSS contributor in April 2025, hired full-time after a year of consistent shipping.
    • Cloud platform architecture — unified messaging API, multi-tenant Postgres with Row-Level Security, Pepr-based Kubernetes operator that reconciles agents and KEDA ScaledObjects from a custom `Server` CRD — scale-to-zero AI workloads.
    • Cloud infra migration from AWS to GCP — GKE Autopilot Terraform modules, Workload Identity Federation for GitHub Actions OIDC, Artifact Registry — no static secrets.
    • Gateway tier — direct-to-pod routing via consistent hash ring (Discord), 4 platform adapters (webhook), CNPG Postgres and Redis in-cluster.
    • Multi-chain and platform integrations — Solana and EVM (Ethereum, Polygon, Base, Arbitrum, BNB…), Discord, OpenRouter (streaming), WhatsApp. Authored the n8n integration end-to-end (draft/preview/confirm, OAuth + API key bridge).
    • Org-wide standardization — logging, TypeScript build pipeline, E2E test infra. FinOps — dynamic per-org rate limits based on cumulative spend, Stripe idempotency, TOCTOU-safe credit deduction.
    • TypeScript
    • Node.js
    • GCP / GKE Autopilot
    • Kubernetes
    • Terraform
    • Helm
    • Pepr (operator)
    • PostgreSQL / RLS
    • CloudNativePG
    • Redis
    • GitHub Actions OIDC
    • Plugin architecture

    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

  6. 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

  7. 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

  8. DevOps & Software Engineer — four successive roles · Worldline Global

    Seclin · apprenticeship → permanent

    Three and a half years at Worldline across four successive roles — apprentice, software engineer, then DevOps engineer. Retail and payments products at scale.

    • Migrated critical apps to Kubernetes / OpenShift, built Prometheus / Zipkin / Grafana observability stack, automated deployments with Helm + GitLab CI.
    • Backend Java / Spring Boot development with full containerization, SonarQube quality gates: doubled test coverage, zero rollback in 18 months.
    • Designed and implemented a full CI/CD workflow for a major retail client (apprenticeship, autonomous within a 4-person team), onboarded the team on new tools.
    • Mentored apprentices and junior teammates on RUN topics — monitoring, maintenance, pre-prod.
    • Java
    • Spring Boot
    • MongoDB
    • Kubernetes / OpenShift
    • Helm
    • GitLab CI
    • SonarQube
    • Prometheus
    • Grafana
    • Zipkin

// SIDE PROJECTS

What I build on the side.

I've been in crypto since 2020 — DCA-ing since the last bear cycle, on-chain well before AI agents made it cool. On the side, I push my own infra and write the code I want to write.

  1. Sendo · AI crypto advisor

    Oct → Nov 2025 · Solana hackathon

    Built for a Solana hackathon — an AI portfolio advisor for retail crypto investors. I shipped the core wallet-analysis plugin (multi-DEX decoders for Jupiter, Raydium, Pump.fun, Orca, Meteora, Whirlpool), an async job system with crash recovery, the social-scoring leaderboard with X/Twitter OAuth via Cloudflare Workers, and a Next.js storage-abstraction frontend refactor.

    TypeScript · Bun · Solana · Helius / Birdeye · OpenRouter · Cloudflare Workers · Next.js

  2. DCA Automation · multi-chain personal pipeline

    Ongoing · personal · open source

    My own automated DCA system. On every bi-monthly USDC inflow on a Solana wallet, the pipeline picks the cheapest swap and bridge routes across DeFi protocols and blockchains — Solana / Bitcoin / Ethereum / Polygon / Base — runs the swaps and deposits, and routes everything to cold-storage Ledger addresses. Predictive destination-chain gas estimation, OS-keychain key isolation, deterministic retries with pre/post balance-diff settlement, Telegram notifications at every step. Currently building v2 — a multi-tenant service (Hono REST API, SIWS auth, JWT) so anyone can plug in their own DCA strategy.

    TypeScript · Bun · Solana Web3.js · viem · Wormhole CCTP · Jupiter · Kamino · Chainflip · Morpho · Paraswap · Hono · Drizzle

Case studies

Deep-dives on real work.

Context, decisions made, what I’d do differently. Honest, structured, 5–8 minutes each.

See more of my case studies

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

+ 1,514 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). 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 [email protected]

Contact

Let’s talk.

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

Book a 30-min intro Email me [email protected] Download CV llms.txt ↗