Jobs at Nearform

Develop and maintain automated front-end, backend, and API testing frameworks using Python and tools such as Cypress and Playwright. Define manual and automated testing strategies, perform functional, performance, non-functional, and security testing, and integrate quality assurance into CI/CD pipelines. Collaborate with development teams, technical leaders, and clients to deliver scalable, reliable enterprise software.

Lead strategy, discovery, roadmaps, development, launches, and lifecycle management for complex digital products and portfolios. Collaborate with clients, stakeholders, engineers, and designers to define requirements, prioritize backlogs, manage risks, and deliver MVPs and phased releases. Guide agile ceremonies, support SaaS platforms and integrations, analyze product performance, and communicate market insights. The role emphasizes business outcomes, customer feedback, product modernization, and successful delivery across enterprise projects.

Design, implement, and maintain Azure cloud infrastructure, deployment architectures, CI/CD pipelines, highly available systems, monitoring frameworks, and Kubernetes-based applications. Automate provisioning with Terraform or CloudFormation, apply security best practices, optimize performance through observability, and collaborate with distributed development and client teams to deliver projects.

Lead and manage software engineering teams, oversee technical delivery, resolve blockers, and maintain development, DevOps, testing, and agile best practices. Work directly with clients to translate requirements into technical briefs, make architectural decisions, and ensure scalable, secure, maintainable applications. Provide project updates, mentor engineers, and support effective decision-making across distributed teams.

Leads and manages software engineering teams, oversees technical delivery, resolves blockers, and ensures engineering, DevOps, testing, and agile best practices. Works directly with clients to translate requirements into technical briefs, shapes scalable and secure architectures, and communicates project status to stakeholders. Provides mentorship, architectural guidance, and technical feedback across distributed enterprise development projects.

Design and build scalable applications using Golang while supporting component development, data storage, performance optimization, testing, automation, CI/CD, and cloud deployments. Collaborate with distributed client teams, analyze requirements, contribute to agile delivery, maintain source-control practices, and support technical leaders. The role requires strong communication, code review, and collaborative software development skills.

Design and build Golang applications, implement data storage solutions, optimise performance, support CI/CD and testing, collaborate with clients and technical leads, and contribute to delivery and architecture standards.

Design, build, maintain, and optimize secure, scalable applications for enterprise clients. Responsibilities include data storage design, performance optimization, requirements analysis, source control and deployment practices, testing, and collaborative development through pull requests and code reviews. The role partners with distributed client teams and Technical Leaders to deliver projects effectively.

Design and build scalable applications using Golang, including component development, data storage, performance optimization, testing, automation, and deployment. Collaborate with clients and distributed engineering teams to analyze requirements, deliver real-world solutions, and maintain high technical standards. Support source control, CI/CD, code reviews, and project execution in agile environments while contributing to secure, high-performance digital products.

Design and build scalable applications using Golang, contributing to component development, data storage, performance optimization, testing, deployment automation, and client solutions. Collaborate with technical leaders, clients, and distributed engineering teams to analyze requirements and deliver high-quality software. The role also involves code reviews, pull requests, version control, agile delivery, CI/CD, and maintaining technical quality standards.

Lead solution strategy and pre-sales for enterprise AI engagements: define architectures, run discovery workshops, build POCs/reference architectures, align delivery, support deal shaping, and drive AI practice growth across Sales, Marketing and Delivery.

Build, implement, and deploy agentic, LLM-powered platforms and RAG pipelines for enterprise clients; integrate with APIs, data platforms, cloud/on‑prem systems; configure Kubernetes, orchestrate multi-agent workflows, and lead technical consulting engagements with frequent European client site travel.

Lead and guide development teams, ensure successful project delivery, translate business requirements into applications, uphold best practices in software development and DevOps.

Lead and mentor development teams, liaise with clients to translate requirements, own technical delivery and architecture, ensure best practices in DevOps, CI/CD, testing, observability, and cloud operations, and resolve blockers to deliver secure, scalable applications.

Own the full recruitment lifecycle across diverse roles, from intake and sourcing through offers and pre-boarding. Build proactive talent pipelines, lead inclusive hiring initiatives, negotiate offers, and champion candidate experience. Partner with hiring managers and the Talent team, maintain accurate Greenhouse records, share market insights, and support process, tooling, and best-practice improvements.

Design and build Python applications and AI agents, contribute to component design, deployment, and data storage solutions. Optimize performance, maintain version control, collaborate with clients and distributed teams, and support delivery of enterprise-grade AI-enabled platforms. Occasional onsite travel to London required.

Lead creation and positioning of AI and cloud-based solutions for enterprise clients. Drive pre-sales discovery, proposals, POCs, and solution roadmaps; align delivery teams for smooth handoffs; engage executives; grow the AI practice and capture customer value through storytelling and cross-functional collaboration.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

Lead pre-sales and solution design for enterprise AI, cloud, software and data engagements. Craft proposals, proofs-of-concept, and reference architectures; run workshops; align stakeholders; support delivery transition; collaborate with Sales, Marketing and Delivery to grow the AI practice and drive measurable client outcomes.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.