At a Glance
- Tasks: Join our team to develop tools for building and integrating Machine Learning software.
- Company: Dynamic tech company focused on innovative software solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a new team with excellent career advancement potential.
- Why this job: Make a real impact in the exciting field of AI and distributed systems.
- Qualifications: Knowledge of Python/C++ and experience with build processes and tools.
The predicted salary is between 45000 - 60000 € per year.
Requirements
- Knowledge of Python/C++ (or similar language)
- Understanding of Build Processes and Frameworks
- Experience working in Linux environments
- Good communication skills
- Experience with Remote Caching and Execution (e.g. Bazel)
- Experience with Build Tools (e.g. CMake)
- Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
- Experience with Integration Tools (e.g. Buildstream)
- Experience working within the Software Development Lifecycle (SDLC)
- Experience with building and using containers (e.g. Docker, Podman)
- 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.
Software Engineer (Build Engineering) in Bristol employer: Deepstreamtech
Join a forward-thinking company that values innovation and collaboration, where as a Software Engineer in Build Engineering, you will be at the forefront of developing tools that enhance our Machine Learning Software components. Our inclusive work culture fosters continuous learning and growth, providing ample opportunities for professional development while working in a dynamic environment that embraces cutting-edge technology. Located in a vibrant area, we offer a unique chance to contribute to impactful projects within a supportive team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Build Engineering) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python/C++ or build tools like CMake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of build processes and frameworks. Practice coding challenges and be ready to discuss your experience with tools like Bazel and Docker. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Software Engineer (Build Engineering) in Bristol
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your knowledge of Python, C++, and any build tools you've used. We want to see how your experience aligns with our needs, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for the Software Engineer role. Mention specific experiences that relate to build processes, Linux environments, and any relevant frameworks or tools. This helps us see why you’re a great fit!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your Python and C++ skills, as well as any build tools like CMake or Bazel. Be ready to discuss how you've used these technologies in past projects, especially in Linux environments.
✨Understand Build Processes
Familiarise yourself with build processes and frameworks. Be prepared to explain how you’ve contributed to building and integrating software stacks, particularly in relation to Machine Learning components.
✨Communicate Clearly
Good communication is key! Practice explaining complex technical concepts in simple terms. You’ll need to collaborate with developers and QA teams, so showing that you can communicate effectively will set you apart.
✨Show Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles, especially related to integration issues or dependency management. Highlight how you approached these problems and the solutions you implemented.
