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Deploint

Careers

Build what comes next.

Engineers at Deploint design, build, secure and operate systems end to end, across AI, software, cloud, data, security and embedded technology. If you care how systems behave in production, we would like to hear from you.

01Culture

Engineers who own the outcome.

We look for people who want to see a system through from the first design document to its behavior in production, and who are honest about trade-offs along the way.
  • 01

    End-to-end ownership

    The engineers who design a system also build, secure and operate it. Ownership does not stop at the pull request.

  • 02

    Written thinking

    Design documents and decision records come before large changes, and anyone can question them.

  • 03

    Direct technical conversations

    Clients talk to engineers. Problems are discussed in technical terms, with the trade-offs on the table.

  • 04

    Reviews without blame

    Code reviews, design reviews and incident reviews are about the system, never about the person.

02The work

Engineering, research and learning.

Production engineering is the core of the job. Applied research and continuous learning are how the work stays good.

How a change reaches production

06 stages

How a change reaches production: Design doc, then Review, then Build, then Pipeline, then Release, then Operate
  1. 01Design doc
  2. 02Review
  3. 03Build
  4. 04Pipeline
  5. 05Release
  6. 06Operate
  • 01

    Engineering

    Production work across AI, software, cloud, data, security and embedded systems.

    • Peer review on every change
    • Infrastructure as code and CI/CD from the first sprint
    • Security and observability in the definition of done
    • Blameless incident and post-release reviews
  • 02

    Research

    Applied research, tied to problems clients actually have.

    • Evaluating models, agent designs and retrieval strategies
    • Benchmarking edge inference and vision pipelines
    • Testing new tools against production constraints
    • Writing up findings for reference architectures and Insights
  • 03

    Learning

    Learning is built into how the work is done, not scheduled around it.

    • Design reviews open across disciplines
    • Pairing between specialists, such as security with platform
    • Time-boxed spikes on unfamiliar technology
    • Written knowledge that outlasts any single project

03Open roles

Where you could work.

Each role describes the focus of the work and representative skills, not a checklist. Location and engagement details are discussed during the process.
  • 01AI

    AI Engineer

    Build production AI systems: retrieval pipelines, agents with scoped tools, guardrails and the evaluation suites that gate releases.

    Representative skills

    • Python
    • LLM applications
    • Retrieval and vector search
    • Agent tool design
    • Evaluation and guardrails

    Location and engagement details are discussed during the process.

    Apply for the AI Engineer role
  • 02Machine learning

    ML Engineer

    Train, deploy and monitor models, from feature pipelines and experiment tracking to serving infrastructure and drift detection.

    Representative skills

    • PyTorch
    • scikit-learn
    • MLflow
    • Model serving
    • Monitoring and drift

    Location and engagement details are discussed during the process.

    Apply for the ML Engineer role
  • 03Software

    Software Engineer

    Design and build distributed services, APIs and web applications that are tested, observable and maintainable.

    Representative skills

    • TypeScript
    • Go or Java
    • Distributed systems
    • API design
    • PostgreSQL

    Location and engagement details are discussed during the process.

    Apply for the Software Engineer role
  • 04Cloud

    Cloud Architect

    Design landing zones, platforms and migration paths on AWS, Azure and Google Cloud, with cost and reliability built in.

    Representative skills

    • AWS, Azure or Google Cloud
    • Kubernetes
    • Terraform
    • Network design
    • Reliability engineering

    Location and engagement details are discussed during the process.

    Apply for the Cloud Architect role
  • 05Platform security

    DevSecOps Engineer

    Build delivery pipelines with security controls built in: scanning, artifact signing, policy as code and secrets management.

    Representative skills

    • CI/CD
    • Container security
    • Policy as code
    • Secrets management
    • Software supply chain

    Location and engagement details are discussed during the process.

    Apply for the DevSecOps Engineer role
  • 06Data

    Data Engineer

    Build batch and streaming pipelines, lakehouse platforms and data models with tested transformations and lineage.

    Representative skills

    • SQL
    • Python
    • Spark
    • Kafka
    • dbt
    • Airflow

    Location and engagement details are discussed during the process.

    Apply for the Data Engineer role
  • 07Security

    Cybersecurity Engineer

    Engineer identity, cloud and application security controls, threat models and detection for the systems we deliver.

    Representative skills

    • Threat modeling
    • IAM and Zero Trust
    • Cloud security
    • Application security testing
    • Detection engineering

    Location and engagement details are discussed during the process.

    Apply for the Cybersecurity Engineer role
  • 08Architecture

    Solutions Architect

    Turn business problems into system architectures, lead technical discovery and stay accountable for the design through delivery.

    Representative skills

    • System design
    • Technical discovery
    • Integration patterns
    • Architecture decision records
    • Cloud platforms

    Location and engagement details are discussed during the process.

    Apply for the Solutions Architect role
  • 09Digital engineering

    Computer Vision Engineer

    Build detection, inspection and tracking pipelines that run reliably from cloud infrastructure to edge devices.

    Representative skills

    • PyTorch
    • OpenCV
    • Model optimization
    • ONNX Runtime
    • Edge deployment

    Location and engagement details are discussed during the process.

    Apply for the Computer Vision Engineer role
  • 10Digital engineering

    Embedded Engineer

    Write firmware and edge software for connected devices, integrating sensors, industrial protocols and secure update paths.

    Representative skills

    • C and C++
    • Rust
    • RTOS
    • Embedded Linux
    • MQTT and OPC UA

    Location and engagement details are discussed during the process.

    Apply for the Embedded Engineer role

Don't see your role?

Send a general application and tell us what you would like to build.

General application

04Application

Start an application.

Tell us about the systems you have built and what you want to work on next. Links to your work are more useful to us than a formatted CV.
  • 01Choose the role closest to your experience, or a general application.
  • 02Location and engagement details are discussed during the process.
  • 03Please don't include sensitive personal data, such as identity numbers or health information.

Application

03 steps

01Role

Not sure which fits? Choose General application.

02About you

We'll reply to this address.

LinkedIn, GitHub, portfolio or personal site.

03Your experience

Systems you have built or operated, the problems you enjoy, and what you want to work on next. File uploads aren't supported, so include links instead.

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