Top Java Jobs in Manchester

Develop and maintain frontend features for a high-traffic, real-time sports betting platform. Build scalable, low-latency, highly available user interfaces using React, TypeScript, JavaScript, HTML5, and CSS. Contribute to technical designs, performance improvements, estimates, testing support, delivery decisions, and ongoing codebase enhancement while collaborating with product owners and engineering teams.

Build and evolve core backend systems that review AI safety detections, identify ambiguous cases, automate triage, and close model feedback loops. Partner with product, design, and ML teams to own projects end-to-end, improve detection precision, and raise quality, operability, and engineering clarity across Samsara's Safety platform.

Architect and deliver resilient, high-performance cloud services for SailPoint’s identity platform using Golang and Angular. Design synchronous and event-driven microservices, build scalable SaaS features, improve performance and reliability, conduct architecture and code reviews, and mentor engineers. The role includes collaboration with product and architecture teams, participation in a 24x7 on-call rotation, and leadership across Policy Engine and agentic identity initiatives.

Build and maintain scalable backend systems using Java, Node.js, Spring, AWS, microservices, and REST APIs. Lead architecture and technical design, promote secure and reliable engineering practices, drive automated testing and CI/CD, mentor engineers, collaborate with clients and cross-functional teams, and evaluate AI and emerging technologies to improve software delivery.

Leads a software engineering team within the Sports domain, balancing hands-on development with people leadership, coaching, mentoring, and delivery ownership. Partners with the Product Owner across the SDLC, promotes engineering excellence and best practices, removes distractions, resolves issues, supports cross-team collaboration, and drives continuous improvement. The role ideally requires recent backend development or QA experience with Java, Spring Boot, AWS, GraphQL, Kafka, Docker, and Kubernetes.

Graduate technology consultants support software development, deployments, infrastructure, system monitoring, issue resolution, testing, quality assurance, and IT service delivery. They work directly with clients on-site while developing technical skills through structured training, coaching, and industry-recognized accreditations. The role offers progression into engineering, AI, cybersecurity, information security, service desk, application support, and production support positions.

Leads statistical programming for pharmaceutical clinical trials, including SDTM and ADaM datasets, TLFs, specifications, reviewer’s guides, Define.xml files, and regulatory submissions. Develops, validates, and maintains SAS and R programs; supports oncology analyses, clinical study reports, CRFs, data validation, and vendor transfers. Oversees CRO programming deliverables, maintains programming standards and SOPs, ensures FDA/ICH compliance, and collaborates with clinical, statistical, regulatory, and external teams.

The Senior Software Engineer will design and build backend services for the AeroParker platform, mentor engineers, and drive product direction while ensuring system reliability and security.

As Senior Staff Software Engineer, you will drive technical direction for the AeroParker platform, improve system performance, mentor engineers, and ensure high-quality standards.

Build and enhance Engine by Starling’s cloud-native banking platform and internal tooling. Develop configurable features and products, contribute to microservice-based backend systems, own projects, collaborate across teams, and help lead projects or functional domains. The role emphasizes Java development, clean code, automated testing, continuous deployment, knowledge sharing, and solving complex technical problems in a collaborative engineering environment.

Participate in a 24-month rotational engineering analyst program focused on data science. Apply data analysis, profiling, feature engineering, statistical methods, and machine learning to solve business and engineering problems. Build scalable analytical processes, models, and tools using Python, JavaScript, Java, CSS, and related technologies. Collaborate with engineering and business teams to translate data insights into practical recommendations and improve decision-making.

Participate in a 24-month rotational engineering analyst program, contributing to software design, development, APIs, automation, testing, monitoring, and continuous improvement. Apply modern engineering practices including source control, code review, automated testing, CI/CD, secure coding, and AI-assisted development. Collaborate with engineers, architects, and product partners to deliver reliable technology solutions supporting financial services business needs.

Lead technical strategy and architecture for personalization, search, and recommendation systems. Deliver scalable ML-powered features, mentor senior engineers, and improve engineering quality across cross-functional teams.

As a Principal Engineer at M&S, you'll drive technical strategy, influence architecture, and mentor engineers while delivering on personalization, search, and machine learning features in collaboration with cross-functional teams.

Build and maintain cloud software for a Customer Data Platform, delivering complex features from design through production. Lead technical delivery, design scalable solutions, improve code quality, testing, observability, reliability, and security. Collaborate with Product, Design, and adjacent engineering teams, participate in on-call support, contribute to planning and roadmap discussions, and mentor engineers.

Lead design and build of scalable, secure international pricing platforms and integrations. Provide technical leadership, code reviews, DevSecOps practices, observability, mentoring, and collaborate with product and stakeholders to deliver robust backend systems for multiple markets and channels.

Lead design, development and maintenance of scalable, secure international pricing platforms and integrations. Provide technical leadership, conduct code reviews, champion DevSecOps and automated testing, mentor engineers, and drive observability, incident management and operational excellence across cloud-native systems.

Build, maintain, and release reliable cloud software for the Customer Data Platform. Lead complex feature delivery, make architectural decisions, improve code quality, testing, observability, security, and operational reliability. Collaborate with Product, Design, and adjacent engineering teams, participate in on-call support, contribute to planning and OKRs, and mentor engineers through pairing, reviews, and technical guidance.

Serve as the UK technical authority for SailPoint’s Agentic AI and Non-Human Identity security products. Lead complex customer engagements from discovery through architecture, demonstrations, and Proof-of-Value execution. Act as a regional subject matter expert, deliver executive workshops and partner enablement, support industry evangelism, design secure identity architectures, and provide field feedback to influence product strategy and roadmap.

Designs, develops, tests, documents, deploys, and maintains full-stack software applications. Responsibilities include front-end and back-end development, test automation, code reviews, troubleshooting, security and privacy implementation, requirements gathering, technical documentation, and continuous improvement. Collaborates with engineers, data teams, project managers, and business users while mentoring junior developers and supporting software lifecycle activities.

Build and deploy secure, scalable AI-first production systems across data, APIs, services, and workflows. Lead discovery and forward-deployed engineering engagements, create reusable platform capabilities, ensure observability and operational readiness, coordinate with architecture, security, compliance, and control teams, and prepare handoff plans. The role also involves coding, code reviews, technical debt management, stakeholder coordination, mentoring junior engineers, and delivering AI, data, and workflow solutions in regulated financial services environments.

Leads forward-deployed engineering engagements, designing and delivering secure, scalable AI-first production systems across data, APIs, services, workflows, and platforms. Responsibilities include discovery, prototyping, software development, architecture, observability, testing, governance, security, production handoffs, stakeholder coordination, code reviews, technical debt management, and mentoring junior engineers. The role requires balancing rapid delivery with operational rigor in regulated financial services environments.

Develop scalable, AI-enabled solutions across data platforms and applications. Responsibilities include source-to-target mapping, data lineage and quality rules, Oracle ETL design, reconciliations, Axiom model alignment, regulatory reporting readiness, UAT, production cutover, and stakeholder risk management. The role requires full software development lifecycle experience and strong Python, PySpark, HDFS, SQL, Airflow, data modeling, and ETL skills.

Technical leader responsible for test strategy, design and implementation of automated, manual, and non-functional tests. Ensures test coverage across application layers, configures CI tooling, mentors and manages a small team, liaises with customers and stakeholders, and drives quality throughout agile delivery.

Provide technical consulting across the application lifecycle for MongoDB customers: assessments, architecture, deployment, migrations, optimization, operations, and training. Work with delivery teams, present to clients, influence product roadmap, and maintain billable utilization.