CI) and Continuous Delivery (CD) concepts and orchestration tools. Awareness of automated testing and embedding this in CI/CD pipelines. Demonstrable problem solving and troubleshooting skills. Usage experience of source control tools such as Git. Demonstrable ability to follow and … continuously improve processes. Demonstrable technical experience (development, infrastructure, or cloud) or equivalent degree / training. How to apply Click the \\\'Apply now\\\' button and complete the application form by providing the following: CV Upload an anonymised copy of your current CV. This will assess your suitability for the role … of the role profile for reference. This post is being advertised to Internal , Across Government and External candidates at the same time. Incomplete and / or late submissions will not be accepted or considered. Feedback will only be provided if you attend an interview or assessment. We do not More ❯
storing and publishing software artifacts. The role needs strong social skills as it involves a lot of interaction with Software Development teams and Automation / Infrastructure teams. The role shall possess all the skills necessary to a) understand the SDLC and code branching model / repository organization required … and scripting required to build code , package it into artifacts, and provide it for deployment via automated pipelines d) enter into proof-of-concept / research on new tools that may be required with new projects, and manage onboarding effectively. The role is part of a team and is … grow our team and welcome candidates who have experience in this area in large software projects. Must have Degree in a related major (Engineering / CS) Proven system administration experience in heterogeneous environments (Windows / Linux with RPM package management predominantly) Scripting skills (bash, powershell, python or other More ❯
Cross-Functional Collaboration: Partner with engineering, product, and QA teams to deliver agent-led automation solutions embedded within developer workflows and CI/CD pipelines. Prototyping & R&D: Drive rapid prototyping of LLM-based solutions, develop PoCs, and validate ideas using real-world data, user … Agentic Experience: Hands-on experience building agent workflows using frameworks like LangChain, LangGraph, or similar orchestration engines. Deep AI Knowledge: Strong foundation in AI / ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency in Python (AI workflows) and TypeScript (full-stack product integration … Thinking : Keen product sensibility with the ability to translate user needs into functional AI experiences. Cloud & Data Skills: Strong exposure to cloud platforms (Azure / AWS / GCP). Model Deployment: Experience evaluating, fine-tuning, and deploying LLMs in production, including latency / throughput trade-offs and More ❯
