426 to 450 of 1,386 Terraform Jobs in London

in AWS, including CloudFront and related web application services Hands-on experience with CI/CD pipelines and modern deployment practices Familiarity with infrastructure-as-code tools such as Terraform Strong understanding of security best practices in application and infrastructure design Exposure to observability tools (e.g. Prometheus, Grafana, structured logging) Confident debugging and resolving issues in complex distributed systems Product More ❯

Participating in code reviews, pair programming, and technical presentations Contributing to continuous improvement of Agile processes and engineering practices Tech Stack Python | FastAPI | AWS | Django | PostgreSQL | OpenSearch | Kubernetes | Helm | Terraform | GitHub What We’re Looking For Strong Python development experience (any framework) Solid understanding of databases, OO design, and SOLID principles Passion for problem-solving and continuous learning Excellent communication More ❯

Participating in code reviews, pair programming, and technical presentations Contributing to continuous improvement of Agile processes and engineering practices Tech Stack Python | FastAPI | AWS | Django | PostgreSQL | OpenSearch | Kubernetes | Helm | Terraform | GitHub What We’re Looking For Strong Python development experience (any framework) Solid understanding of databases, OO design, and SOLID principles Passion for problem-solving and continuous learning Excellent communication More ❯

AWS solution architecture, ideally in a consulting or client-facing role. Strong knowledge of AWS services including compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly More ❯

AWS solution architecture, ideally in a consulting or client-facing role. Strong knowledge of AWS services including compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly More ❯

AWS solution architecture, ideally in a consulting or client-facing role. Strong knowledge of AWS services including compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly More ❯

AWS solution architecture, ideally in a consulting or client-facing role. Strong knowledge of AWS services including compute, networking, storage, and security. Hands-on expertise with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools. Experience designing and implementing containerised solutions (Docker, Kubernetes, ECS/EKS). Strong stakeholder management and communication skills. AWS certifications at Professional level highly More ❯

Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC - Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a ETL environments Experience working with More ❯

healthcare, financial services, etc.). Strong knowledge of networking, storage, and security architectures for isolated, compliant systems. Hands-on experience with containerization and orchestration (Kubernetes, Docker) and automation frameworks (Terraform, Ansible). Proficiency in scripting/programming (Python, Bash, or equivalent). Demonstrated ability to work directly with customers, including government and defense agencies. Google Cloud certification (Professional Cloud Engineer More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

Solid understanding of security principles and architecture, particularly for databases and APIs Understanding of Platform & Configuration Security, and Platform Monitoring, Response and Governance Scripting (Python, Bash) for task automation Terraform Understanding of security threats like DDoS, brute force, exfiltration, spoofing, and other relevant threats 3 years of hands-on experience in platform or infrastructure security, with a strong interest in More ❯

Solid understanding of security principles and architecture, particularly for databases and APIs Understanding of Platform & Configuration Security, and Platform Monitoring, Response and Governance Scripting (Python, Bash) for task automation Terraform Understanding of security threats like DDoS, brute force, exfiltration, spoofing, and other relevant threats 3 years of hands-on experience in platform or infrastructure security, with a strong interest in More ❯

get stuck in! Senior level technical capability with strong problem solving skills. Proven experience with GCP as either a DevOps Engineer or SRE. A good depth of experience using Terraform and Ansible. A strong knowledge of Kubernetes cluster, building containers, deploying via CI/CD pipelines. Able to think commercially i.e. cost of scaling vs utilisation of existing infrastructure. Beneficial More ❯

Solid understanding of security principles and architecture, particularly for databases and APIs Understanding of Platform & Configuration Security, and Platform Monitoring, Response and Governance Scripting (Python, Bash) for task automation Terraform Understanding of security threats like DDoS, brute force, exfiltration, spoofing, and other relevant threats 3 years of hands-on experience in platform or infrastructure security, with a strong interest in More ❯

when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every More ❯

when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every More ❯

Solid understanding of security principles and architecture, particularly for databases and APIs Understanding of Platform & Configuration Security, and Platform Monitoring, Response and Governance Scripting (Python, Bash) for task automation Terraform Understanding of security threats like DDoS, brute force, exfiltration, spoofing, and other relevant threats 3 years of hands-on experience in platform or infrastructure security, with a strong interest in More ❯

document store/key-value store) is a plus. Experience with containerization technologies (Docker, Kubernetes). Hands-on experience with Google Cloud Platform (GCP) and configuration management (ideally using Terraform). Familiarity with Google Cloud Build for CI/CD actions, deployments, and builds. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People More ❯

when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every More ❯

when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every More ❯

APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and More ❯

APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and More ❯

APIs using FastAPI , especially in serverless environments (e.g., Google App Engine) Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale DevOps/MLOps: Exposure to Terraform , Docker , Kubernetes , and MLOps workflows What They Offer A chance to work on real-world data that impacts elite football performance Access to high-value datasets , sports science teams, and More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯

of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile Built cloud More ❯