Senior Software Engineer API's

We help businesses become talent-first. Everything we do is about people. We're shaping the future of work, by building the software and services that enable the world's largest companies to unleash human potential. Beamery is Talent Lifecycle Management.

We believe that where you work is much more than just a job. For many of us, it's our livelihoods. It's how we provide for our families and it shapes the legacy we'll leave behind. This is why our purpose is to create access to opportunities regardless of where someone is born.

We're excited to have raised a $138m Series C backed by world-class investors from some of tech's most disruptive companies.

• So, what are you waiting for? Join us and help us transform the future of work once and for all.

About the team

Team Synergy is one of our newest teams that has been created as part of our growth strategy with the mission to enable feature teams to build business intelligence with ease and exposing these capabilities through robust APIs.

What you will be doing at beamery

We are looking for a Senior Backend Engineer to help our core backend services and APIs evolve and scale to cope with new feature development, varied customer needs and increased user traffic. This person will:

• Play a critical role in designing, developing and operating the next generation of our core micro-services, APIs and the data models backing them.
• Contribute in building ML model CI/CD pipelines for building, registering, testing, and deploying model changes.
• Oversee the integration and deployment of models ensuring models are delivering the expected business value and performance.
• Execute on projects and follow through end to end starting with discovery and design through prototyping and implementation to gauging success and owning operations.
• Work with teammates and the wider engineering org to continuously improve our product, technology, processes, teamwork and effectiveness.

Who are we looking for?

• Strong experience in developing and deploying large-scale high performance services/APIs.
• Experience scaling and productizing ML models, for both offline, batch-based data products as well as models deployed to online, real-time services.
• Expertise with Python and Node.js
• Understanding of ML & Data Science fundamentals, as well as best software engineering practices.
• In-depth experience in Algorithms, Data structures, and performance optimisation techniques.
• Experience with containerisation technologies (Docker, Kubernetes).

Nice to have:

• Previous exposure to key Machine Learning technologies, such as TensorFlow, Kubeflow Pipelines, and other relevant libraries.
• Previous exposure to using MLOps tools & techniques to deploy, monitor, and manage continuous model deployment pipelines, ensuring model-using services are reliably producing expected output.
• Prior experience working in cloud environments, ideally in GCP.
• Previous experience working with Graph DBs.