{"id":2459502,"url":"https://alion.io/job/txptalent-tech-lead-staff-full-stack-engineer","title":"Tech lead/ Staff Full Stack Engineer","company":{"id":4416608,"name":"TXP Talent","domain":"txptalent.co.uk","url":"https://alion.io/company/txptalent","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":159000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1858},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Grafana","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Nest.JS","optional":false},{"name":"Node JS","optional":false},{"name":"OpenSearch","optional":false},{"name":"Playwright","optional":false},{"name":"React.js","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-13T10:02:30Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T05:17:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"SUMMARY:\nWe are looking for a hands-on Tech Lead to help build an end-to-end forecasting platform that brings machine learning into practical, user-facing applications.\nYou will work across React, Node.js and TypeScript in an AWS serverless environment, building distributed services and interfaces that support automation while allowing users to interact with forecasting models. The team places a strong emphasis on automated testing, reliable delivery and the effective use of AI across the software development lifecycle.\nFor Tech Lead positions, you will combine hands-on engineering with technical direction, architectural ownership and support for the wider team.\n WHAT WILL YOU BE DOING:\nAs part of an agile software development team, you will:\nBuild and maintain full-stack applications using React, TypeScript, Node.js and NestJS.\nDeveloping AWS serverless services, including Lambda functions written in TypeScript.\nDesign and evolve distributed systems and event-driven workflows using Amazon EventBridge, SNS, and SQS.\nBuilding features that integrate with machine learning forecasting models, supporting automated workflows and human interaction.\nDeveloping automated tests across unit, integration, and end-to-end layers, including Playwright, using sound judgment about where each test type adds value.\nImproving CI/CD pipelines to support increasingly automated and reliable delivery.\nManaging infrastructure as code using Terraform and contributing to delivery workflows through Jenkins.\nMonitoring production services using Grafana for metrics and OpenSearch for logs and alerts.\nUsing AI-assisted development practices to improve engineering efficiency while maintaining code quality.\nCollaborating with engineers, product stakeholders and colleagues working on forecasting models to deliver features across the platform.\nGuide architecture and technical decisions, mentor engineers, and own technical delivery while staying actively involved in development.\nWHAT WE ARE LOOKING FOR:\nStrong commercial experience delivering full-stack applications using TypeScript, React and Node.js.\nExperience building backend services using NestJS or a comparable Node.js framework.\nStrong hands-on experience with AWS serverless architecture, particularly Lambda.\nA solid understanding of distributed systems and event-driven architectures, including asynchronous messaging, failure handling and service reliability.\nExperience with Amazon EventBridge, SNS/SQS and DynamoDB, or closely related technologies and patterns.\nA strong commitment to test automation, with experience across unit, integration and end-to-end testing.\nExperience with Playwright or a comparable end-to-end testing framework.\nFamiliarity with Terraform, CI/CD pipelines and production observability.\nExperience applying AI-assisted tools and practices across the software development lifecycle, with appropriate review and validation.\nAn understanding of how applications integrate with machine learning models to deliver useful product features, automation and user interaction. Dedicated MLOps expertise is not required.\nA proactive, collaborative approach, with the ability to contribute independently and take ownership of complex engineering work.\nProven experience providing technical leadership, shaping architecture, supporting other engineers and guiding delivery in a complex distributed environment.\nStrong verbal and written communication skills in English\nNICE TO HAVE:\nPrevious experience building forecasting, predictive analytics or other products powered by machine learning.\nExperience designing interfaces and workflows that allow users to review and interact with model outputs.\nHands-on experience with Jenkins, Grafana and OpenSearch.\nExperience improving delivery pipelines through advanced test automation and AI-assisted engineering.\nPrevious experience contributing to an end-to-end platform spanning frontend applications, backend services and model integration.\n WHAT’S IN IT FOR YOU?\nBe part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture.\nA culture in which we don’t criticise failure but ensure we learn from our mistakes\nAn Agile environment where your ideas are welcome\nThe possibility to grow and experience different projects\nOngoing Training & Mentoring\nThe possibility of travelling\n- ATTENTION! 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