Jobs at Nasstar

Senior Business Analyst responsible for standardizing requirements elicitation, shaping product vision, managing backlogs, and writing user stories with testable acceptance criteria. The role collaborates with Product Owners, architects, engineers, QA, and stakeholders through discovery workshops and Agile ceremonies. It also supports product design, pre-sales activities, stakeholder engagement, and knowledge sharing. Experience with digital transformation, Agile delivery, UML or BPMN modeling, and complex cloud or Databricks systems is valuable.

Partners with managers and leaders across the employee lifecycle, providing UK employment advice and handling employee relations, performance, organisational change, restructures, TUPE consultations, workforce planning, and contractor compliance including IR35. Promotes culture, diversity, inclusion, and employee experience while delivering management training, development programmes, and learning resources. Works collaboratively with Talent Acquisition, Finance, and People leadership in a remote-first environment with occasional London travel.

Leads complex, concurrent projects from planning through delivery, managing scope, schedules, budgets, resources, risks, quality, governance, documentation, vendors, and stakeholder expectations. Oversees project forecasting, change control, reporting, and service transition while coordinating internal departments, customers, and third parties. Requires strong project management experience in a fast-paced managed service provider environment and familiarity with Microsoft technologies and delivery governance practices.

Build and architect scalable full-stack applications using React, Node.js, TypeScript, AWS, Terraform, and serverless technologies. Own frontend, backend, infrastructure, CI/CD, testing, and deployment across the application lifecycle. Use AI-assisted development tools, design event-driven architectures, and mentor junior engineers. Act as a consultative technical partner by translating business needs into secure solutions and presenting architectural guidance to client stakeholders.

Leads Colibri’s applied AI capability, setting technical direction, engineering standards, propositions, and team strategy. Guides AI discovery, solution design, client conversations, pre-sales, delivery, and commercial growth. Oversees production AI, architecture, MLOps/LLMOps, testing, evaluation, security, governance, and reusable intellectual property. Mentors senior engineers, develops the practice, builds market presence, and ensures AI solutions are secure, scalable, commercially viable, and production-ready.

Own AI engagement outcomes from success definition through production delivery. Design and evaluate end-to-end AI and GenAI systems, manage technical risk and trade-offs, communicate with clients, lead code reviews, resolve technical disagreements, mentor engineers, and develop reusable components and best practices. Deploy models and LLMs on AWS or Databricks with strong testing and CI/CD practices.

Lead hands-on architecture, design, build, and delivery for complex Microsoft Azure client engagements. Own Azure technical standards, security baselines, tooling choices, quality assurance, presales, solution estimation, proposals, statements of work, and Microsoft partnership activities. Mentor and help grow the Azure capability without direct line-management responsibility. The role is remote within the UK but requires client and London office travel.

Hands-on IAM consultant responsible for auditing existing identity estates, designing Microsoft Entra ID target architectures, executing phased migrations, configuring hybrid sync, implementing MFA/Conditional Access/passwordless, migrating SSO integrations, enabling identity governance (PIM, access packages, reviews), monitoring/sign-in logs during cutover, and documenting runbooks for operations handover.

Client-facing cloud engineer designing, building, and operating scalable AWS infrastructure and data-platform foundations. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, technical presales, and mentor junior engineers.

Design, build, and maintain scalable cloud-based data platform and ETL pipelines on Azure. Develop data models, ensure data quality, optimize performance, implement governance and security, and collaborate with stakeholders and data scientists to enable data-driven solutions.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

Lead end-to-end delivery of a multi-workstream, francophone data programme: run governance, manage RAID and change control, oversee resourcing and T&M commercials, coordinate cross-border squads, ensure quality gates, and author bilingual client-facing documentation.