1 to 25 of 33 Remote/Hybrid Infrastructure as Code Jobs in Central London

standards (ISO, NIST, CIS). Integrate security guardrails using AWS Control Tower and Landing Zone Accelerator. Conduct regular security posture assessments and audits. Automation & Infrastructure as Code: - Automate security configurations using Terraform, AWS CDK, or CloudFormation. Embed security checks into GitHub CI/CD pipelines … implementing scalable, resilient, and secure platforms using public cloud (AWS, GCP). Automation: Experience with infrastructure-as-code (IaC) practices, automation tools (e.g., Terraform, Ansible) and scripting languages (e.g. Python, Ruby). DevSecOps Practices: Strong experience with CI/CD security integrations and DevSecOps Practices. ...

client are growing their team and are looking for a Principal DevOps Engineer to contribute to the development and maintenance of our cloud infrastructure, help with the definition of best practices for infrastructure management and to support development processes with CI/CD. As a Principal … will play a crucial role in ensuring the reliability, scalability, and security of their cloud-based systems. Responsibilities: Design, build, and maintain the infrastructure and automation tools necessary for efficient and reliable deployment, operation, and monitoring of our cloud-based applications. Collaborate with development and operations teams to define ...

contributing to early-stage solution design and pre-sales. In this role, you will: Design and build Azure platform foundations and landing zones. Automate infrastructure using Infrastructure as Code. Build and improve CI/CD pipelines for cloud-native delivery. Enable application teams to adopt DevOps … work – this is about building platforms properly, then moving on to the next challenge. Non-Negotiables Azure cloud engineering experience in production environments. Terraform infrastructure as code (this is essential). Strong CI/CD and automation mindset. Solid understanding of cloud networking, security ...

focused on enabling secure, compliant, and scalable adoption of Google Cloud across the organization. You will join a cross-disciplinary engineering environment delivering platform, infrastructure, networking, and API capabilities that underpin critical banking services. These roles are delivery focused, operating at scale, and embedded within a regulated enterprise setting. … delivering production grade cloud platforms. Roles in scope We are hiring across the following senior specialisms: Senior Cloud Platform Architect (GCP) Senior GCP Infrastructure and DevOps Engineer Senior GCP VDC Network Engineer Senior GCP Apigee Engineer Key responsibilities Depending on specialism, responsibilities will include: Designing and delivering secure, compliant ...

focused on enabling secure, compliant, and scalable adoption of Google Cloud across the organization. You will join a cross-disciplinary engineering environment delivering platform, infrastructure, networking, and API capabilities that underpin critical banking services. These roles are delivery focused, operating at scale, and embedded within a regulated enterprise setting. … delivering production grade cloud platforms. Roles in scope We are hiring across the following senior specialisms: Senior Cloud Platform Architect (GCP) Senior GCP Infrastructure and DevOps Engineer Senior GCP VDC Network Engineer Senior GCP Apigee Engineer Key responsibilities Depending on specialism, responsibilities will include: Designing and delivering secure, compliant ...

engineering and regulatory compliance. You will be responsible for the architectural blueprint that protects some of the world's most recognizable brands, ensuring their infrastructure is resilient, compliant, and future-proof. Key Responsibilities Architectural Strategy: Lead the design and evolution of the platform underpinning global regulatory and compliance monitoring. … Deep knowledge of Google Cloud Platform (GCP) and its native security services. Modern DevOps: Proficiency in Infrastructure-as-Code (IaC) tools, specifically Terraform , Harness, and GitHub. Compliance Mastery: Strong understanding of global regulatory frameworks and GRC processes. Cyber Defense Background: Previous experience working within ...

stack applications using modern frameworks and technologies. Build efficient and reusable components for both front-end and back-end systems. Work with Azure cloud infrastructure to deploy, monitor and maintain applications. Collaborate with cross-functional teams to ensure seamless integrations and data flow between systems. Maintain clean, well-documented … Grafana, Prometheus, or App Insights. Experience in agile delivery environments with testing such as XUnit with NSubstitute in particular. Exposure to Infrastructure-as-Code (Terraform, ARM templates) desirable. What We’re Looking For 7–12 years of hands-on development experience covering both ...

leading financial institution is seeking a skilled Platform Engineer with a focus on Kubernetes to join its growing team. This role sits within the Infrastructure and Platform Engineering department, supporting business-critical applications and services across the organisation. Key Responsibilities: Develop and maintain a highly available Kubernetes platform, enabling … deployment pipelines and improve platform resilience and scalability. Implement best practices for observability, monitoring, and alerting, ensuring system performance and reliability. Support and automate infrastructure using tools like Terraform and Ansible. Contribute to the ongoing evolution of the platform, including upgrades, architecture improvements, and technology selection. Ensure the security ...

Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge … pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live … into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their ...

modern development frameworks, such as Java, Python, or Node.js , and familiar with microservices, APIs, and event-driven architectures. Experienced in cloud and infrastructure-as-code technologies, such as Terraform, Kubernetes, Docker, and AWS services (Lambda, EC2, RDS, etc.). Comfortable working ...

options market via a central marketplace where institutions can place, discover and match option interests electronically - improving liquidity and efficiency for all participants as the platform scales. As a Senior Backend Engineer you will collaborate with a small team of technologists and successful entrepreneurs to design … desirable for data related work You have experience of building event-driven systems and public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps, CI/CD practices and Cloud infrastructure (they use GCP but AWS experience is also fine ...

looking for a DevOps Engineer to join their UK engineering team. Youll play a key role in building, scaling and maintaining the cloud infrastructure that underpins a growing suite of applications. Working closely with software engineers, product teams and stakeholders, youll help ensure reliable, secure and efficient software delivery … doing Working closely with engineering teams to improve developer experiences Building, maintaining and evolving CI/CD pipelines Designing and provisioning resilient, secure cloud infrastructure Owning environments from development through to production Monitoring system performance and proactively identifying operational risks Supporting system lifecycle management, including change and configuration Troubleshooting ...

SHIR setup with a fully automated, re-deployable, well-tagged infrastructure across mainly AWS (Azure experience helpful) The outcome is a stable, secure, IaC-driven environment handed over to ISS DevOps for BAU. Job Responsibilities - clearly and confidently demonstrate: Hands-on Terraform delivery - writing and maintaining real AWS infrastructure (not just exposure). Strong AWS networking fundamentals (VPCs, subnets, routing tables, NAT, security groups, static egress IPs). Experience codifying existing infrastructure patterns safely (not redesigning platforms). Senior judgement and autonomy suitable for a 1-2 month engagement with minimal supervision. Must-Have Experience  Strong DevOps ...

production-ready, performant, secure, and compliant. Key Responsibilities Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML) Build infrastructure to monitor model performance, data drift, and other key metrics in production Develop and maintain tools for model versioning, reproducibility, and experiment tracking Optimize model … serving infrastructure for latency, scalability, and cost Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring Collaborate with data scientists to ensure models are production-ready Implement security, compliance, and governance practices for ML systems Support troubleshooting and incident response ...

Mentor junior colleagues and share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation … vector databases (Pinecone, Weaviate, pgvector) for RAG applications. Experience with feature stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Familiarity with data governance and compliance frameworks. ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You'll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. … Architect and deploy scalable data lake solutions using Azure Data Lake Storage. Implement governance and security measures across the platform. Leverage Terraform or similar IaC tools for controlled and reproducible deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver ...