Software Engineer (Build Engineering)

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Requirements

Knowledge of Python/C++ (or similar language)
Understanding of Build Processes and Frameworks
Experience working in Linux environments
Good communication skills
(Desirable) Experience with Remote Caching and Execution (e.g. Bazel)
(Desirable) Experience with Build Tools (e.g. CMake)
(Desirable) Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
(Desirable) Experience with Integration Tools (e.g. Buildstream)
(Desirable) Experience working within the Software Development Lifecycle (SDLC)
(Desirable) Experience with building and using containers (e.g. Docker, Podman)
(Desirable) An understanding of Software Architecture patterns

What the job involves

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team
Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components
Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems
An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack
You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments
Developing our internal tooling for building, testing and integrating together the ML Software Stack
Developing tools and technical processes for Software Releases
Providing guidance to developers on best build practices and dependency management
Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
Working closely with QA and the ML Software Stack to resolve any integration issues
Contributing fixes towards the ML Software Stack

#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Deepstreamtech”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436990514__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=22” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Bristol” } } }

Company: Deepstreamtech

Apply for the Software Engineer (Build Engineering)

Location: Bristol

Job Description:

Requirements

Knowledge of Python/C++ (or similar language)
Understanding of Build Processes and Frameworks
Experience working in Linux environments
Good communication skills
(Desirable) Experience with Remote Caching and Execution (e.g. Bazel)
(Desirable) Experience with Build Tools (e.g. CMake)
(Desirable) Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
(Desirable) Experience with Integration Tools (e.g. Buildstream)
(Desirable) Experience working within the Software Development Lifecycle (SDLC)
(Desirable) Experience with building and using containers (e.g. Docker, Podman)
(Desirable) An understanding of Software Architecture patterns

What the job involves

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team
Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components
Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems
An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack
You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments
Developing our internal tooling for building, testing and integrating together the ML Software Stack
Developing tools and technical processes for Software Releases
Providing guidance to developers on best build practices and dependency management
Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
Working closely with QA and the ML Software Stack to resolve any integration issues
Contributing fixes towards the ML Software Stack

#J-18808-Ljbffr…

Posted: May 20th, 2026