Jobs at Nasstar

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.

Drive new customer acquisition and account expansion by selling Microsoft Data and AI solutions. Lead consultative sales cycles from prospecting through commercial negotiation and closure, collaborate with Microsoft sellers and partner teams on co-sell opportunities, and coordinate marketing, presales, technical, and delivery teams. Engage C-suite stakeholders, present business value, develop go-to-market strategies, and expand enterprise adoption of Azure, analytics, AI, and related Microsoft technologies.

Principal Data Engineer responsible for leading complex data architecture, cloud platform strategy, delivery performance, incident response, governance, and compliance. Serves as the primary technical advisor to clients, ensuring scalable, resilient, secure data platforms. Oversees team-of-teams execution, capacity planning, budgets, hiring, stakeholder communication, and mentorship while driving technical standards and long-term business value.

Owns new-logo sales for managed data, cloud, and AI services across the full sales cycle. Builds a territory and self-generated pipeline, conducts consultative discovery, develops commercial cases, shapes pricing and contracts, coordinates transitions, co-sells with AWS and Databricks, forecasts recurring revenue, and wins multi-year managed services agreements.

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.

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.