DevOps

Our client builds a software platform that helps owners and operators of utility-scale battery energy storage systems (BESS) monitor, control and optimise their assets. They combine deep expertise in energy storage and renewables with data analytics, so that more clean energy can reliably power the grid. They are a team of around 25 people who value user focus, transparency, reliability, and data-driven decisions.

We are looking for a DevOps/ Platform Engineer (AWS) to support the reliability, scalability, and continuous

improvement of Cellect’s cloud platform and development infrastructure.

The role focuses on AWS cloud infrastructure, deployment processes, monitoring and observability, automation,

and production support. Working cross-functionally with our development teams, you will help ensure that our

cloud services remain reliable, secure, and efficient, while continuously improving the tools and processes that

support software delivery and operations.

You will also design and develop internal tools and automation that enable our Delivery and Operations teams to

perform recurring support and operational activities more efficiently and autonomously, reducing manual effort

and improving scalability across the organisation.

The DevOps/Platform Engineer reports directly to the Head of Product Development and collaborates across

development, Delivery, and Operations teams to strengthen Cellect’s cloud infrastructure, development

workflows, and operational capabilities.

and reliability.

with their service-specific pipelines.

enable faster identification and resolution of production issues

implement improvements to prevent recurring issues.

recovery, and other self-service functionality.

Engineering, Infrastructure Engineering, or a similar role.

processes.

security principles.

implementing sustainable solutions.

operational workflows.

technical topics clearly and collaboratively.

similar services within the AWS ecosystem.

equivalent tools.

self-service capabilities for Engineering, Delivery, or Operations teams.

Kafka, or equivalent platforms.

production environments.

practices across multiple development teams.