8 of 8 Deployment Automation Jobs in Central London

support the full lifecycle of modern cloud-hosted applications. Role Overview You will be responsible for building and managing Azure cloud environments, automating deployment pipelines, enhancing reliability through SRE practices, and ensuring compliance with security and governance standards. This is an excellent opportunity for an experienced cloud engineer … thrives in a collaborative, fast-moving environment and is passionate about automation, optimisation and best practice engineering. Key Responsibilities Cloud Infrastructure Design & Build Design, implement and maintain scalable Azure cloud infrastructure using Terraform and IaC principles. Deployment Automation & CI/CD Build and maintain CI/ ...

Rust and Python) Own performance improvements across dashboards, widgets, and live data visualisation Collaborate with QA and DevOps to enhance automated testing and deployment pipelines Lead efforts in securing, scaling, and monitoring the frontend environment Use observability tools (Prometheus, Grafana, Loki) to monitor UI health and performance Drive ...

other services. • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows. • Work with DevOps engineers on day-to-day development, deployment, and operational support. • Contribute to CI/CD pipelines and deployment automation using GitHub Actions. • Manage artifacts, enforce branch strategies, and utilize ...

independently and communicate risk and findings clearly to senior traders and management Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets management Nice to Have Market making, systematic execution, or electronic trading in energy or commodity derivatives Asian options, barrier structures, or path ...

software development lifecycle. Proficiency in developing cloud-native applications on platforms like AWS, Azure, or GCP. Expertise in defining testing strategies and implementing test automation, with a preference for TDD or BDD. Experience in implementing CI/CD practices, including version control with Git, branching strategies, automated testing … deployment pipelines. Extensive experience working within Agile teams using Scrum or Kanban methodologies. A strong commitment to delivering technology-enabled products that provide significant value to their clients. Exceptional communication skills and a collaborative team player who values building strong relationships with colleagues and clients. Comfortable with multiple programming ...

AWS Cloud Architect City of London - 2 Days per Week on site April Start Date 6-Month Rolling Contract Up to £750 per day - Inside IR35 We are seeking an experienced AWS Solution Architect to ...

policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments - WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale - Network flow log analysis … equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard - Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models - API and application security: threat modelling (STRIDE/ ...

build and deploy production computer vision and agentic AI systems powering search, recommendations and personalisation Own the full data science lifecycle: problem framing → modelling → deployment → monitoring → iteration Make pragmatic trade-offs between speed, quality and technical elegance Product & User Impact Translate messy real-world user problems into testable … imperfect datasets Design annotation strategies, data quality frameworks and evaluation pipelines Decide where data investment matters most Technical Direction & MLOps Establish pragmatic MLOps practices (deployment, monitoring, iteration) Build scalable but lightweight ML pipelines in AWS alongside engineering Ensure models are robust, reliable and safe for production Team & Culture ...