understanding of CI/CD, infrastructure as code, and DevOps principles. Desirable Skills AWS Certified (Solutions Architect, DevOps Engineer, or Machine Learning Specialty). Terraform Certification. Familiarity with Kubernetes, Docker, and MLflow. Experience in cost optimisation and performance tuning within AWS. What We’re Looking For This is a critical role - the infrastructure you build underpins the company’s ability More ❯
around the base technology platforms that we build all our infrastructure): • AWS • Cloud Formation or Terraform • Nginx • Linux administration • Packer • Collaboration tools (Git, Jira, Confluence, etc) Must-haves: • Kubernetes • Docker • Hashicorp tools (Packer, Consul, Vault, etc) Skills: • Ability to balance multiple priorities and coordinate across delivery teams to deliver value • Working at senior leadership level across the organisation, establishing stakeholder More ❯
Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited annual leave – we trust you More ❯
Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited annual leave – we trust you More ❯
technical management) Partake in an out-of-hours on call rota Nice to have Experience with DevOps methodology, continuousintegration, and delivery (CI/CD) and related tools Knowledge of Docker or container-based systems Knowledge of AWS Services, such as EMR, Connect,CloudFormation, Lambda, SNS and SQS Knowledge ofChef and/or Ruby AWS or RHEL certification More ❯
technical management) Partake in an out-of-hours on call rota Nice to have Experience with DevOps methodology, continuousintegration, and delivery (CI/CD) and related tools Knowledge of Docker or container-based systems Knowledge of AWS Services, such as EMR, Connect,CloudFormation, Lambda, SNS and SQS Knowledge ofChef and/or Ruby AWS or RHEL certification More ❯
contexts 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 More ❯
contexts 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 More ❯
secure, scalable, and reliable systems that underpin mission-critical Defence projects. You ll have the chance to work with a modern technology stack, including Windows and Linux systems, containerisation (Docker, Kubernetes), infrastructure-as-code (Terraform, Ansible), cloud architecture (private and hybrid), and CI/CD pipelines . Hands-on experience in DevSecOps principles, automated testing frameworks, and system performance optimisation More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
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 cross More ❯
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 cross More ❯
DynamoDB S3 Event-driven architectures Third-party API integration Access control and user permissions Implementing APIs used by single-page applications WebSockets Infrastructure as code (AWS CDK, Terraform, etc.) Docker AWS IoT What we’re looking for Circa 2 years of commercial or equivalent experience in a software development role building cloud-driven SAAS products, with a focus on building More ❯
DynamoDB S3 Event-driven architectures Third-party API integration Access control and user permissions Implementing APIs used by single-page applications WebSockets Infrastructure as code (AWS CDK, Terraform, etc.) Docker AWS IoT What we’re looking for Circa 2 years of commercial or equivalent experience in a software development role building cloud-driven SAAS products, with a focus on building More ❯
DynamoDB S3 Event-driven architectures Third-party API integration Access control and user permissions Implementing APIs used by single-page applications WebSockets Infrastructure as code (AWS CDK, Terraform, etc.) Docker AWS IoT What we’re looking for Circa 2 years of commercial or equivalent experience in a software development role building cloud-driven SAAS products, with a focus on building More ❯
Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving environments More ❯
London, England, United Kingdom Hybrid / WFH Options
Client Server
Python, Java, C++, C#) You're happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker You have an analytical mindset and enjoy problem solving You have experience of working in start-ups/SMEs and have good business acumen Ideally you will have a good More ❯
Willingness to work outside of traditional hours if required by the business Preferred Experience Comfortable with Windows environments Familiarity with NoSQL databases (e.g., DynamoDB, Redis) Experience with Jenkins, Ansible, Docker Key Responsibilities Build and maintain new development pipelines and infrastructure Automate and enhance development and release processes Deploy updates and fixes Build tools to reduce errors and improve customer experience More ❯
administration. Proficiency in scripting languages like Python, Java, PowerShel, and Bash. Expertise in configuration and automation tools such as Ansible, Puppet, and Foreman. Familiarity with container technologies such as Docker and Kubernetes. Command over virtualization technologies including VMware, Hyper-V, and OpenShift. Sound grasp of network fundamentals encompassing DNS, DHCP, TCP/IP, routing, switching and HTTP. Knowledge of Azure More ❯
into our platform, including visualization and analytics interfaces. Required Experience Strong experience in Python, SQL, AWS, and Snowflake. Deep understanding of object-oriented programming. Familiarity with DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Excellent communication skills and a passion for technology innovation. Benefits Competitive salary and comprehensive medical, dental, and retirement benefits. Employee More ❯
Oxfordshire, England, United Kingdom Hybrid / WFH Options
Humand Talent
skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research, and bridging theory with practice Bonus if you have: MLOps experience (SageMaker, Kubeflow, ZenML) Research or deployments in edge AI or More ❯
into our platform, including visualization and analytics interfaces. Required Experience Strong experience in Python, SQL, AWS, and Snowflake. Deep understanding of object-oriented programming. Familiarity with DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Excellent communication skills and a passion for technology innovation. Benefits Competitive salary and comprehensive medical, dental, and retirement benefits. Employee More ❯