Top Java Jobs in Manchester

Serve as the technical bridge to integration partners across EMEA: design, build, validate, and demo integrations with the CrowdStrike Falcon Platform; support partner sales and OEM/embedded deals; run POVs, RFI/RFP responses, and NFR evaluations; create enablement materials, demo environments, and integration documentation; track adoption metrics and collaborate on scalable onboarding and AI-driven efficiency improvements.

As an Enterprise Sales Engineer, you will provide technical expertise during sales presentations, product demonstrations, and evaluations, while supporting the Sales team in closing opportunities and gathering customer feedback.

Build and operate scalable, low-latency APIs, event-driven services, integrations, and web applications supporting membership and loyalty experiences. Integrate and extend Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply distributed-systems, reliability, observability, and security practices; troubleshoot production issues; contribute to reusable engineering assets; and mentor junior engineers.

Develop and support scalable Java and Spring Boot backend microservices powering omnichannel inventory availability, order promising, allocation, fulfilment, and post-purchase experiences. Build event-driven processing with Kafka, integrate OMS, WMS, ERP, commerce, and fulfilment platforms, and ensure services are secure, observable, reliable, and performant. Own features from design through production, write tested code, participate in reviews, troubleshoot production issues, and improve operational efficiency.

Designs, automates, and executes functional, integration, API, contract, regression, concurrency, and performance tests for inventory, order promising, sourcing, and fulfillment platforms. Investigates defects, validates fixes, maintains regression coverage, integrates quality tests into CI/CD pipelines, and supports release readiness. The role collaborates with product and engineering teams to validate distributed commerce systems, integrations, business rules, data consistency, scalability, resilience, and consumer-impacting workflows.

Deliver large-scale IAM and PAM implementations for enterprise clients, including identity lifecycle management, access governance, privileged access, application integrations, JML processes, configuration, testing, troubleshooting, and post-implementation support. Act as a client-facing technical consultant, advise stakeholders, apply best practices, support agile delivery, and identify service optimization opportunities.

Lead technical design and delivery of membership and loyalty backend services using Antavo. Own architecture, build scalable low-latency APIs and event-driven integrations (SFCC, Fluent Commerce), integrate LLM APIs and AI services, ensure observability, reliability, security, and drive engineering best practices, mentoring, and performance optimization.

Lead and manage a software engineering team developing AWS cloud-native public safety products. Set technical direction, oversee architecture and project delivery, plan releases, manage backlogs, remove blockers, coordinate UK and US teams, and mentor engineers. Provide people management through one-to-ones, feedback, career development, delegation, and inclusive team building. The role requires strong experience with frontend and backend services, distributed systems, integrations, and modern technologies including Java, TypeScript, JavaScript, React, SQL, and MySQL.

Support a global 24x7x365 security operations team by monitoring systems and networks, investigating threats and incidents, responding to phishing, malware, breaches, and cyberattacks, deploying countermeasures, analyzing post-event activity, assessing vulnerabilities, and improving security protocols. The role requires familiarity with cloud security controls, network protocols, operating systems, scripting, web technologies, penetration testing tools, and threat intelligence.

A 10-week software engineering internship involving the full development lifecycle, including technical design, feature and API development, automation, testing, releases, monitoring, and continuous improvement. Interns use modern engineering practices, AI coding tools, source control, code review, CI/CD, secure coding, and reliability fundamentals while collaborating with engineers, architects, and product partners.

Participate in a 10-week data science engineering internship by applying analytical methods to business and engineering problems. Analyze and profile data, perform feature engineering, identify patterns and anomalies, and build automated models and analytical tools. Collaborate with engineering and business teams to translate insights into recommendations and scalable data-driven solutions. Gain experience in programming, advanced analytics, machine learning, distributed computing, and communicating complex results.

Lead architecture and delivery of enterprise-scale API gateways, edge routing, and high-throughput JVM backend services. Drive GitOps deployments (ArgoCD, Helm), improve observability, rate-limiting, and concurrency controls, integrate LLM-assisted workflows, and mentor global engineering teams.

Maintain and scale DevTools SRE systems: improve user-facing developer workflows, build fault-tolerant self-healing architecture, optimize performance, modify open- and closed-source tools (GitLab, TeamCity), and support users while measuring improvements via metrics.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

The Senior Vice President, Full-Stack Engineer will lead software engineering teams, ensuring delivery of high-quality, scalable systems, and promoting best practices in engineering excellence and talent development.

Participate in a 16-week training linked to a client role to develop AI/ML and generative AI/LLM models, evaluate and document models and risks, produce analyses for business decisions, collaborate with SMEs, and demonstrate leadership and ownership while publishing patents or papers.

Develop and evaluate AI/ML and Generative AI/LLM models from POC to production, perform data science and statistical analyses to support business decisions, document and assess model risk, publish patents/papers, collaborate with SMEs, and provide technical leadership while deploying solutions with modern Agile/DevOps and cloud practices.

Lead a software engineering team delivering critical infrastructure across the full software development lifecycle. Responsibilities include owning team deliverables, requirements analysis, design, implementation, testing, deployment, collaboration with product, frontend, and QA teams, and mentoring junior developers. The role requires Java backend or React frontend expertise, scalable system development, and familiarity with CI/CD, containers, deployment technologies, and AWS.

Design, build, and operate resilient Java and Spring Boot backend services for inventory availability, order promising, and fulfillment. Develop event-driven Kafka integrations, concurrency and consistency controls, caching strategies, observability, and graceful degradation mechanisms. Own services from design through production, optimize performance and reliability, integrate with commerce and enterprise platforms, conduct code reviews, document architecture decisions, and mentor junior engineers.

Design, develop, maintain, and review software for mission-critical systems. Contribute hands-on code, design product features, break down work for Agile delivery, maintain CI/CD pipelines, and demonstrate solutions to customers. The role also involves technical leadership, guiding engineers through development and delivery challenges, and working across backend or frontend technologies, cloud platforms, containerization, and databases.

Design and implement secure cloud-based solutions and DevSecOps practices. Automate security tooling in CI pipelines, perform threat modelling and vulnerability management, support penetration testing, review security outputs, convert findings into actionable work, verify secure architectures, and coach junior team members.

Drive technical wins for enterprise technology deals through commercial close. Responsibilities include technical discovery, MEDDPICC qualification, proof-of-concept ownership, competitive displacement, migration architecture, TCO modeling, technical demonstrations, partner collaboration, post-sale handoff, and competitive intelligence. The role focuses on latency-critical environments across financial services, payments, telecommunications, and related industries.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.

Design, build, and operate integrations between the Mark43 platform and external systems (911, state DBs, evidence systems). Lead API and messaging architecture, implement REST APIs, message-queue and event-driven pipelines, ensure observability and testing, collaborate with product and partners, and contribute to coding standards and sprint planning.

Lead enterprise Java full‑stack development and modernization efforts, champion AI-driven development and ML lifecycle practices, drive cloud migration, microservices and API-led architecture, ensure secure scalable designs, oversee CI/CD and DevSecOps, and manage delivery, technical debt, and vulnerability remediation across backend and frontend platforms.