Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
07/05/2026
Full time
Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
07/05/2026
Full time
Overview At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the tool for building, sharing, and running apps-trusted by startups and Fortune 100s alike. We're growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. Responsibilities As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Qualifications Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams First 90 days Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback One Year Outlook Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
Location: Hybrid - a blend of home working and office based, 60/40 split (Hessle, HU13 0DH) Hours: 8.30am-5.00pm, Monday to Friday (37.5 hours per week) Salary: Dependant on experience, with bonus opportunity Visa Sponsorship: This position does not meet the UK Home Office sponsorship requirements (specifically, financial thresholds). Therefore, we are unable to offer visa sponsorship. Closing Date: 22 May 2026 Role Overview Parallel is a fast-paced scale up with the backing of parent company Sewell Group. The business supports public sector clients across the UK to make decisions about their services, estates and budgets through the delivery of market leading web applications and data visualisation tools, including Strata. To support growing client demands and an expanding product range, Parallel is looking to grow its software engineering team and take the business to the next level. The Software Engineer will work alongside the Head of Software and the wider development team to deliver a series of software and data projects, to help modernise existing technology platforms and develop new products for new markets. We are seeking a full stack Software Engineer to play an integral part in the technical delivery of the company's products. The successful candidate will have relevant commercial development experience, have great attention to detail and be a team player. This is the perfect opportunity to work in a growing business and highly motivated team, where the exposure to multiple technologies, unique products and concurrent projects provides a continuous learning and personal development opportunity. If you are a positive, well organised, people person, looking for an opportunity to make your mark on national products, with the backing of a nationally recognised top employer, we'd love to hear from you. To learn more about Sewell Group and Parallel please follow the link below: Home - Sewell Group (sewell-group.co.uk) Homepage - Parallel Key Responsibilities Design, build, and integrate AI-powered features into our products, including LLM integrations, retrieval pipelines, and agentic workflows. Build responsive, accessible, user-friendly interfaces using Vue 3 with TypeScript, integrating with backend APIs and modern frontend tooling. Use AI coding agents and developer tooling effectively to accelerate delivery, while maintaining a high bar for code quality, review, and security. Collaborate with stakeholders to gather requirements and translate them into technical specifications and solutions. Develop backend services and APIs using .NET (C#), ensuring scalability, performance, and security. Integrate front-end and back-end components using RESTful APIs and modern JavaScript frameworks (e.g., Vue with TypeScript). Model and manage data across MS SQL, Postgres. Write and maintain unit and integration tests for both front-end and back-end components to ensure code quality. Participate in Agile development practices including sprint planning, daily stand-ups, and retrospectives. Ensure adherence to data protection, security standards, and confidentiality requirements in all development activities. All candidates will need to be able to demonstrate their technical ability as part of our selection process. Essential A minimum of 2 years' commercial experience in full stack software development. Hands on experience building and running applications on Microsoft Azure or AWS. Practical experience using AI coding agents and assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of day to day development. Solid grounding in software engineering fundamentals: OO design, clean code, version control with Git, and code review. Solid experience building backend services with .NET. Strong front end development skills with modern JavaScript frameworks (e.g. Vue typescript, Angular, React). Strong experience with relational databases (e.g. MS SQL, Postgres SQL) and exposure to NoSQL stores (e.g. Cosmos DB, MongoDB). Good working knowledge of ORM (e.g. Entity Framework, Dapper) with database (e.g. MS SQL, Postgres). Experience working with RESTful APIs and integrating front end and back end components. Proficient in use of HTML5, CSS/SCSS, and modern JavaScript/TypeScript standards. Experience writing and maintaining unit tests for backend and frontend. Passion for technology, ongoing learning and client satisfaction. Awareness of the importance of security, data protection and confidentiality. Have good attention to detail and a high level of accuracy. Desirable Experience in data manipulation and analysis. Experience of geo mapping formats, approaches or tools. Experience with vector databases, embeddings, or building Retrieval Augmented Generation (RAG) systems. Experience with CI/CD pipelines, infrastructure as code (e.g. Bicep, Terraform), or containerisation (Docker). Experience building agentic workflows or working with the Model Context Protocol (MCP), tool use, or function calling. Experience integrating LLMs or AI APIs into applications (e.g. OpenAI, Anthropic, Azure OpenAI) - including prompt design and structured outputs. Possess a positive approach to problem solving, with a process driven method to approach design solutions and a keen eye for user experience. Sewell Group and its subsidiary businesses are equal opportunities employers, recruiting within the guidelines of the Equality Act 2010. We are committed to the promotion of diversity and equal opportunity, as an employer and in the delivery of our products and services. As a committed safe employer, an enhanced DBS (criminal record) check will be carried out for the successful candidate of this role. Benefits Competitive Salary, Dependent on experience Annual Bonus opportunity 25 days holiday (plus Bank Holidays), rising with length of service to 30 days Being a Co Owner of Sewell Estates, learn more here: Employee Ownership - Sewell Group (sewell-group.co.uk) Auto Enrolment pension Staff discounts High Street & Retail discount schemes Bike 2 Work Scheme Technology Scheme Paid Parental Leave and Sickness Absence schemes Click here to take a look at our flexible reward and benefits offer!
04/05/2026
Full time
Location: Hybrid - a blend of home working and office based, 60/40 split (Hessle, HU13 0DH) Hours: 8.30am-5.00pm, Monday to Friday (37.5 hours per week) Salary: Dependant on experience, with bonus opportunity Visa Sponsorship: This position does not meet the UK Home Office sponsorship requirements (specifically, financial thresholds). Therefore, we are unable to offer visa sponsorship. Closing Date: 22 May 2026 Role Overview Parallel is a fast-paced scale up with the backing of parent company Sewell Group. The business supports public sector clients across the UK to make decisions about their services, estates and budgets through the delivery of market leading web applications and data visualisation tools, including Strata. To support growing client demands and an expanding product range, Parallel is looking to grow its software engineering team and take the business to the next level. The Software Engineer will work alongside the Head of Software and the wider development team to deliver a series of software and data projects, to help modernise existing technology platforms and develop new products for new markets. We are seeking a full stack Software Engineer to play an integral part in the technical delivery of the company's products. The successful candidate will have relevant commercial development experience, have great attention to detail and be a team player. This is the perfect opportunity to work in a growing business and highly motivated team, where the exposure to multiple technologies, unique products and concurrent projects provides a continuous learning and personal development opportunity. If you are a positive, well organised, people person, looking for an opportunity to make your mark on national products, with the backing of a nationally recognised top employer, we'd love to hear from you. To learn more about Sewell Group and Parallel please follow the link below: Home - Sewell Group (sewell-group.co.uk) Homepage - Parallel Key Responsibilities Design, build, and integrate AI-powered features into our products, including LLM integrations, retrieval pipelines, and agentic workflows. Build responsive, accessible, user-friendly interfaces using Vue 3 with TypeScript, integrating with backend APIs and modern frontend tooling. Use AI coding agents and developer tooling effectively to accelerate delivery, while maintaining a high bar for code quality, review, and security. Collaborate with stakeholders to gather requirements and translate them into technical specifications and solutions. Develop backend services and APIs using .NET (C#), ensuring scalability, performance, and security. Integrate front-end and back-end components using RESTful APIs and modern JavaScript frameworks (e.g., Vue with TypeScript). Model and manage data across MS SQL, Postgres. Write and maintain unit and integration tests for both front-end and back-end components to ensure code quality. Participate in Agile development practices including sprint planning, daily stand-ups, and retrospectives. Ensure adherence to data protection, security standards, and confidentiality requirements in all development activities. All candidates will need to be able to demonstrate their technical ability as part of our selection process. Essential A minimum of 2 years' commercial experience in full stack software development. Hands on experience building and running applications on Microsoft Azure or AWS. Practical experience using AI coding agents and assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of day to day development. Solid grounding in software engineering fundamentals: OO design, clean code, version control with Git, and code review. Solid experience building backend services with .NET. Strong front end development skills with modern JavaScript frameworks (e.g. Vue typescript, Angular, React). Strong experience with relational databases (e.g. MS SQL, Postgres SQL) and exposure to NoSQL stores (e.g. Cosmos DB, MongoDB). Good working knowledge of ORM (e.g. Entity Framework, Dapper) with database (e.g. MS SQL, Postgres). Experience working with RESTful APIs and integrating front end and back end components. Proficient in use of HTML5, CSS/SCSS, and modern JavaScript/TypeScript standards. Experience writing and maintaining unit tests for backend and frontend. Passion for technology, ongoing learning and client satisfaction. Awareness of the importance of security, data protection and confidentiality. Have good attention to detail and a high level of accuracy. Desirable Experience in data manipulation and analysis. Experience of geo mapping formats, approaches or tools. Experience with vector databases, embeddings, or building Retrieval Augmented Generation (RAG) systems. Experience with CI/CD pipelines, infrastructure as code (e.g. Bicep, Terraform), or containerisation (Docker). Experience building agentic workflows or working with the Model Context Protocol (MCP), tool use, or function calling. Experience integrating LLMs or AI APIs into applications (e.g. OpenAI, Anthropic, Azure OpenAI) - including prompt design and structured outputs. Possess a positive approach to problem solving, with a process driven method to approach design solutions and a keen eye for user experience. Sewell Group and its subsidiary businesses are equal opportunities employers, recruiting within the guidelines of the Equality Act 2010. We are committed to the promotion of diversity and equal opportunity, as an employer and in the delivery of our products and services. As a committed safe employer, an enhanced DBS (criminal record) check will be carried out for the successful candidate of this role. Benefits Competitive Salary, Dependent on experience Annual Bonus opportunity 25 days holiday (plus Bank Holidays), rising with length of service to 30 days Being a Co Owner of Sewell Estates, learn more here: Employee Ownership - Sewell Group (sewell-group.co.uk) Auto Enrolment pension Staff discounts High Street & Retail discount schemes Bike 2 Work Scheme Technology Scheme Paid Parental Leave and Sickness Absence schemes Click here to take a look at our flexible reward and benefits offer!
