Job Title AWS DevOps Engineer Day Rate 500 per day - Inside IR35 Location Primarily Remote - Occasional Leeds Duration ASAP - 31 March 2027 ROLE DESCRIPTION Brio Digital are supporting a consultancy delivering a major NHS digital programme and are looking for an experienced AWS DevOps Engineer to join the team. The post holder will design, implement, and maintain scalable cloud-based solutions, working closely with cross-functional teams to deliver high-availability applications and automated deployment pipelines in line with security and performance best practices. KEY RESPONSIBILITIES Cloud Architecture & Infrastructure Design and implement scalable cloud-based solutions using AWS services Deploy and manage AWS services including EC2, S3, RDS, Lambda, and associated tooling Optimise cloud architecture for maximum efficiency, resilience, and performance Build and maintain highly available, highly performant applications at scale CI/CD & Automation Develop and maintain CI/CD pipelines for automated deployment using GitHub Actions Build and manage AWS Lambda functions and infrastructure-as-code using Terraform Monitor, troubleshoot, and resolve issues across the cloud infrastructure Security & Governance Ensure security best practices are applied consistently across all cloud systems Contribute to security reviews and remediation of identified risks Collaboration & Delivery Work within an Agile delivery environment, collaborating with cross-functional teams Define, design, and deliver new features in partnership with product and engineering teams Strong Python development skills applied across automation, tooling, and backend services DESIRABLE SKILLS Knowledge of Apigee API management Knowledge of FHIR and HL7 healthcare data standards React front-end development experience Apply now or email for more information.
May 10, 2026
Contractor
Job Title AWS DevOps Engineer Day Rate 500 per day - Inside IR35 Location Primarily Remote - Occasional Leeds Duration ASAP - 31 March 2027 ROLE DESCRIPTION Brio Digital are supporting a consultancy delivering a major NHS digital programme and are looking for an experienced AWS DevOps Engineer to join the team. The post holder will design, implement, and maintain scalable cloud-based solutions, working closely with cross-functional teams to deliver high-availability applications and automated deployment pipelines in line with security and performance best practices. KEY RESPONSIBILITIES Cloud Architecture & Infrastructure Design and implement scalable cloud-based solutions using AWS services Deploy and manage AWS services including EC2, S3, RDS, Lambda, and associated tooling Optimise cloud architecture for maximum efficiency, resilience, and performance Build and maintain highly available, highly performant applications at scale CI/CD & Automation Develop and maintain CI/CD pipelines for automated deployment using GitHub Actions Build and manage AWS Lambda functions and infrastructure-as-code using Terraform Monitor, troubleshoot, and resolve issues across the cloud infrastructure Security & Governance Ensure security best practices are applied consistently across all cloud systems Contribute to security reviews and remediation of identified risks Collaboration & Delivery Work within an Agile delivery environment, collaborating with cross-functional teams Define, design, and deliver new features in partnership with product and engineering teams Strong Python development skills applied across automation, tooling, and backend services DESIRABLE SKILLS Knowledge of Apigee API management Knowledge of FHIR and HL7 healthcare data standards React front-end development experience Apply now or email for more information.
Our client, a prominent player in the insurtech sector, is seeking a passionate and skilled Java Software Engineer to join their dynamic team. This permanent role will involve working closely with engineering squads, architects, and platform teams to ensure the company's APIs are well-designed, discoverable, versioned, and aligned with modern integration patterns. The ideal candidate will also guide the adoption of API tooling and platforms such as TIBCO, Apigee, or Azure API Management, enhancing the developer experience both internally and externally. Key Responsibilities: Technical Leadership & API Strategy Define and maintain the organisation's API strategy, including standards for design, documentation, versioning, security, and lifecycle management. Establish and evolve reusable API design patterns, working closely with architects and platform teams. Guide platform adoption and integration of API gateway/orchestration tools (e.g., TIBCO, Apigee, Azure API Management). Support consistent enforcement of API governance policies, authentication mechanisms, and API analytics. Contribute to the long-term roadmap for API enablement, developer tooling, and discoverability. Design, Development & Enablement Design and build Spring Boot-based APIs that are scalable, testable, and well-structured. Lead or support squads in the delivery of high-impact integration solutions across services and platforms. Collaborate on reusable API assets such as SDKs, templates, shared schemas, and common middleware. Implement robust error handling, logging, and observability across services and endpoints. Promote automation of API tests, documentation, contract validation, and pipeline integration. Collaboration & Engineering Maturity Act as a subject matter expert for APIs across squads and tribes, supporting design reviews, peer mentoring, and training. Participate in planning, backlog refinement, and sprint activities as a senior technical voice. Collaborate with architecture, security, and governance teams to align APIs with organisational principles. Contribute to Chapter and Guild forums, raising the bar for API engineering across the organisation. Lead efforts to reduce technical debt, improve platform resilience, and accelerate onboarding for new API consumers. Job Requirements: Technical Expertise Essential: Strong commercial experience building APIs using Java and Spring Boot in a production environment. Deep knowledge of RESTful API design, including best practices for resource modelling, pagination, and error handling. Proven experience with API versioning strategies, backward compatibility, and lifecycle management. Familiarity with OpenAPI/Swagger specifications and API documentation tooling. Solid understanding of API security, including OAuth2, API keys, scopes, JWT, and rate limiting. Strong testing experience, including contract testing, unit, integration, and end-to-end tests. Proficiency with CI/CD pipelines, Git workflows, and infrastructure-as-code concepts. Desirable: Experience with API gateway/orchestration platforms, such as TIBCO, Apigee, or Azure API Management. Experience with asynchronous patterns, such as event-driven architecture or messaging queues (e.g., Kafka, RabbitMQ). Familiarity with containerisation (Docker) and deployment in Kubernetes environments. Exposure to GraphQL and other modern API approaches. Behavioural Competencies Strategic Thinking: Aligns API design and platform tooling with organisational goals and future scalability. Technical Leadership: Mentors engineers, shares best practices, and supports consistent implementation across teams. Collaboration: Works across squads, architecture, and platform areas to unify integration approaches. Communication: Explains complex API design choices clearly to technical and non-technical audiences. Accountability: Takes ownership of engineering quality, platform reliability, and strategic delivery. Continuous Improvement: Identifies opportunities to simplify, standardise, or automate aspects of API delivery. Resilience & Knowledge Sharing: Encourages documentation, reusable assets, and team resilience through shared learning. Benefits: Permanent position with opportunities for career growth Work within a leading insurtech company Access to continuous professional development and training Supportive and collaborative team environment Comprehensive employee benefits package If you are a Java Software Engineer looking for a dynamic role within the insurtech industry, we would love to hear from you. Apply now to join our client's innovative team.
Oct 03, 2025
Full time
Our client, a prominent player in the insurtech sector, is seeking a passionate and skilled Java Software Engineer to join their dynamic team. This permanent role will involve working closely with engineering squads, architects, and platform teams to ensure the company's APIs are well-designed, discoverable, versioned, and aligned with modern integration patterns. The ideal candidate will also guide the adoption of API tooling and platforms such as TIBCO, Apigee, or Azure API Management, enhancing the developer experience both internally and externally. Key Responsibilities: Technical Leadership & API Strategy Define and maintain the organisation's API strategy, including standards for design, documentation, versioning, security, and lifecycle management. Establish and evolve reusable API design patterns, working closely with architects and platform teams. Guide platform adoption and integration of API gateway/orchestration tools (e.g., TIBCO, Apigee, Azure API Management). Support consistent enforcement of API governance policies, authentication mechanisms, and API analytics. Contribute to the long-term roadmap for API enablement, developer tooling, and discoverability. Design, Development & Enablement Design and build Spring Boot-based APIs that are scalable, testable, and well-structured. Lead or support squads in the delivery of high-impact integration solutions across services and platforms. Collaborate on reusable API assets such as SDKs, templates, shared schemas, and common middleware. Implement robust error handling, logging, and observability across services and endpoints. Promote automation of API tests, documentation, contract validation, and pipeline integration. Collaboration & Engineering Maturity Act as a subject matter expert for APIs across squads and tribes, supporting design reviews, peer mentoring, and training. Participate in planning, backlog refinement, and sprint activities as a senior technical voice. Collaborate with architecture, security, and governance teams to align APIs with organisational principles. Contribute to Chapter and Guild forums, raising the bar for API engineering across the organisation. Lead efforts to reduce technical debt, improve platform resilience, and accelerate onboarding for new API consumers. Job Requirements: Technical Expertise Essential: Strong commercial experience building APIs using Java and Spring Boot in a production environment. Deep knowledge of RESTful API design, including best practices for resource modelling, pagination, and error handling. Proven experience with API versioning strategies, backward compatibility, and lifecycle management. Familiarity with OpenAPI/Swagger specifications and API documentation tooling. Solid understanding of API security, including OAuth2, API keys, scopes, JWT, and rate limiting. Strong testing experience, including contract testing, unit, integration, and end-to-end tests. Proficiency with CI/CD pipelines, Git workflows, and infrastructure-as-code concepts. Desirable: Experience with API gateway/orchestration platforms, such as TIBCO, Apigee, or Azure API Management. Experience with asynchronous patterns, such as event-driven architecture or messaging queues (e.g., Kafka, RabbitMQ). Familiarity with containerisation (Docker) and deployment in Kubernetes environments. Exposure to GraphQL and other modern API approaches. Behavioural Competencies Strategic Thinking: Aligns API design and platform tooling with organisational goals and future scalability. Technical Leadership: Mentors engineers, shares best practices, and supports consistent implementation across teams. Collaboration: Works across squads, architecture, and platform areas to unify integration approaches. Communication: Explains complex API design choices clearly to technical and non-technical audiences. Accountability: Takes ownership of engineering quality, platform reliability, and strategic delivery. Continuous Improvement: Identifies opportunities to simplify, standardise, or automate aspects of API delivery. Resilience & Knowledge Sharing: Encourages documentation, reusable assets, and team resilience through shared learning. Benefits: Permanent position with opportunities for career growth Work within a leading insurtech company Access to continuous professional development and training Supportive and collaborative team environment Comprehensive employee benefits package If you are a Java Software Engineer looking for a dynamic role within the insurtech industry, we would love to hear from you. Apply now to join our client's innovative team.
Technical Lead - Java Microservices & APIs Location: Leeds City Centre (Hybrid / Flexible Working) We're looking for a Technical Lead to take ownership of delivering Java microservices and APIs that power high-transaction digital web, app, and payments platforms . This is a hands-on leadership role where you'll drive technical design, coach engineers, and ensure products remain scalable, secure, and fit for purpose in a fast-changing environment. What You'll Do Lead the design, documentation, and delivery of technical solutions to agreed service levels. Guide engineers through implementation, balancing workloads, addressing hotspots, and providing coaching. Oversee deployments, ensuring quality, traceability, and compliance with security standards . Take accountability for technical debt, service levels, and vulnerability management. Collaborate with architects, DevOps engineers, product owners, and Scrum Masters to deliver seamless solutions. Join the out-of-hours support rota for critical digital products. What We're Looking For Strong expertise in Java and microservices development . Proven experience translating complex technical concepts for non-technical stakeholders. Confident influencing and negotiating in a highly regulated environment . Desirable skills include: RESTful design and API Gateway tools (Apigee or equivalent) Kubernetes / OpenShift Monitoring tools such as Grafana, Prometheus, Dynatrace CI/CD with GitLab or Artifactory Security practices (OWASP, JWT, certificates, encryption) Experience within IT support environments Benefits 25 days holiday + Bank Holidays , with the option to buy up to 5 more. Annual bonus of 7% of eligible pay Pension contributions up to 10% . Healthcare package including private medical, dental, and wellbeing support. Access to a benefits portal with discounts across retail, hospitality, and lifestyle. A flexible working culture with support for work-life balance and career growth For more information, please contact
Oct 01, 2025
Full time
Technical Lead - Java Microservices & APIs Location: Leeds City Centre (Hybrid / Flexible Working) We're looking for a Technical Lead to take ownership of delivering Java microservices and APIs that power high-transaction digital web, app, and payments platforms . This is a hands-on leadership role where you'll drive technical design, coach engineers, and ensure products remain scalable, secure, and fit for purpose in a fast-changing environment. What You'll Do Lead the design, documentation, and delivery of technical solutions to agreed service levels. Guide engineers through implementation, balancing workloads, addressing hotspots, and providing coaching. Oversee deployments, ensuring quality, traceability, and compliance with security standards . Take accountability for technical debt, service levels, and vulnerability management. Collaborate with architects, DevOps engineers, product owners, and Scrum Masters to deliver seamless solutions. Join the out-of-hours support rota for critical digital products. What We're Looking For Strong expertise in Java and microservices development . Proven experience translating complex technical concepts for non-technical stakeholders. Confident influencing and negotiating in a highly regulated environment . Desirable skills include: RESTful design and API Gateway tools (Apigee or equivalent) Kubernetes / OpenShift Monitoring tools such as Grafana, Prometheus, Dynatrace CI/CD with GitLab or Artifactory Security practices (OWASP, JWT, certificates, encryption) Experience within IT support environments Benefits 25 days holiday + Bank Holidays , with the option to buy up to 5 more. Annual bonus of 7% of eligible pay Pension contributions up to 10% . Healthcare package including private medical, dental, and wellbeing support. Access to a benefits portal with discounts across retail, hospitality, and lifestyle. A flexible working culture with support for work-life balance and career growth For more information, please contact
ML Ops engineer with Data Science background (AWS services) - London/remote - £536 per day ML Ops engineer with experience i n data science, DevOps, and AWS SageMaker, along with a solid understanding of Agile software development principles. In this role, you will act as a bridge between Data Scientists and IT DevOps Engineers, helping translate experimental ML models into scalable, production-ready applications. You'll play a critical role in building practical solutions to real-world data science challenges, including automating workflows, packaging models, and deploying them as microservices using AWS services . The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain (SageMaker, Fargate, Bedrock). Your core responsibilities include: Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective deployment and integration of AI/ML solutions using AWS services. Assist DevOps engineers with packaging and deploying ML models, helping them understand AI specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Help create the knowledge artefacts for Data Scientist around DevOps and ML Ops. Where required, hand hold the data scientist and assist them with DevOps engineering issues, package installation issues, creating a Docker container, ML Ops tooling issues. Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across the organization. Manage the entire ML life cycle-from training and validation to versioning, deployment, monitoring, and governance. Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and Maven. Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization. Assist the product owner to define and implement the ML Ops roadmap. Support knowledge sharing and mentorship across data Scientists teams, promoting a best practice-first culture. What skills are required? Minimum skills: Degree in computer science, economics, data science or another technical field (eg maths, physics, statistics etc.), or equivalent relevant experience Strong programming proficiency in Python (or R), with practical experience in machine learning and statistical modelling. Proven experience delivering end-to-end data science products, including both experimentation and deployment. Solid understanding of data cleaning, feature engineering, and model performance evaluation. Essential skills: Demonstrated experience deploying and maintaining AI/ML models in production environments. Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (eg, NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks. Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments. Experience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, and Chef. Strong cross-functional collaboration skills and the ability to explain technical concepts to non technical stakeholders. Ability to work across cloud-based architectures. Tools & Technologies: AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch Other Tooling: Apigee, Hugging Face, RStudio, Jupyter, Git, Jenkins, Linux Languages & Frameworks: Python, R, Flask, FastAPI, SQL
Oct 01, 2025
Contractor
ML Ops engineer with Data Science background (AWS services) - London/remote - £536 per day ML Ops engineer with experience i n data science, DevOps, and AWS SageMaker, along with a solid understanding of Agile software development principles. In this role, you will act as a bridge between Data Scientists and IT DevOps Engineers, helping translate experimental ML models into scalable, production-ready applications. You'll play a critical role in building practical solutions to real-world data science challenges, including automating workflows, packaging models, and deploying them as microservices using AWS services . The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain (SageMaker, Fargate, Bedrock). Your core responsibilities include: Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective deployment and integration of AI/ML solutions using AWS services. Assist DevOps engineers with packaging and deploying ML models, helping them understand AI specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Help create the knowledge artefacts for Data Scientist around DevOps and ML Ops. Where required, hand hold the data scientist and assist them with DevOps engineering issues, package installation issues, creating a Docker container, ML Ops tooling issues. Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across the organization. Manage the entire ML life cycle-from training and validation to versioning, deployment, monitoring, and governance. Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and Maven. Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization. Assist the product owner to define and implement the ML Ops roadmap. Support knowledge sharing and mentorship across data Scientists teams, promoting a best practice-first culture. What skills are required? Minimum skills: Degree in computer science, economics, data science or another technical field (eg maths, physics, statistics etc.), or equivalent relevant experience Strong programming proficiency in Python (or R), with practical experience in machine learning and statistical modelling. Proven experience delivering end-to-end data science products, including both experimentation and deployment. Solid understanding of data cleaning, feature engineering, and model performance evaluation. Essential skills: Demonstrated experience deploying and maintaining AI/ML models in production environments. Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (eg, NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks. Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments. Experience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, and Chef. Strong cross-functional collaboration skills and the ability to explain technical concepts to non technical stakeholders. Ability to work across cloud-based architectures. Tools & Technologies: AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch Other Tooling: Apigee, Hugging Face, RStudio, Jupyter, Git, Jenkins, Linux Languages & Frameworks: Python, R, Flask, FastAPI, SQL
