Jobs at Nasstar

Supports the design, development, and deployment of applied AI systems under senior engineer guidance. Contributes to AI feature development, follows engineering standards, participates in code reviews and technical discussions, and builds expertise across modern AI and cloud technologies. The role emphasizes learning, collaboration, and progression toward more senior engineering responsibilities.

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.

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 client-facing technology consulting and solution development for large, complex cloud, data, and AI transformations. Advise C-suite stakeholders, identify growth opportunities, shape Microsoft and AWS-powered roadmaps, develop value propositions, and guide commercial, technical, and delivery models. Direct solution teams, proposals, statements of work, peer reviews, and approvals while contributing to industry points of view and transformation methodologies. Strong expertise in Microsoft Fabric, Foundry, cloud architecture, managed services, outsourcing, and agile and waterfall delivery is required.

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.

Design, launch and run an enterprise ABM programme: select and prioritise target accounts, build personalised 1:1 and 1:few campaigns, align with sales on joint account plans, leverage partner co-sell motions, measure account-level engagement and pipeline impact, and report ABM ROI to marketing and sales leadership. Remote UK with occasional travel.

Lead and scale Engagement Management as a senior leader: own delivery health, commercial performance, client relationships, governance, tooling and metrics. Build and recruit the Engagement Management team, productise delivery as a sellable service, optimise utilisation and margin, and contribute to renewal and growth while working closely with Data, AI, Cloud and software teams.

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.