{"id":4026418,"url":"https://alion.io/job/tongston-full-stack-engineer","title":"Full Stack Engineer","company":{"id":4531332,"name":"Tongston","domain":"tongston.com","url":"https://alion.io/company/tongston","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abuja, Nigeria"],"countries":["NG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Express","optional":false},{"name":"Firebase","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Node JS","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"CodeQL","optional":true},{"name":"Dependabot","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"OWASP","optional":true},{"name":"Smart Contracts","optional":true},{"name":"Tailwind CSS","optional":true},{"name":"Vite","optional":true},{"name":"Zustand","optional":true}],"status":"live","first_seen_at":"2026-11-10T16:57:44Z","employer_posted_date":null,"last_verified_at":"2026-11-10T16:57:44Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Tongston is a multi-award-winning global brand focused on entrepreneurial education, enterprise, finance and media leveraging on technology for people, institutions & governments to drive global sustainable socio-economic development. \n\nWe are recruiting to fill the position below:\n\nJob Title: Full Stack Engineer \n\nLocation: Abuja\n\nEmployment Type: Full-time\n\nJob Summary\n\n Tongston is seeking a Full Stack Engineer (Back-End Focus) to help build and scale T-World and the product backend for T-Cell as a standalone AI product.\n\n T-Cell may serve T-World and approved external applications or institutions through defined interfaces.\n\n This role covers T-Cell, T-World and other current and future Tongston products, services and approved integrations, as assigned within its remit.\n\n This role is ideal for a backend-leaning engineer who can own APIs, data models, integrations, reliability, and application connections to AI services—while remaining comfortable delivering lightweight React web UI when needed to support product flows and internal tools.\n\n You will Participate in Agile ceremonies: planning, execution, review, and iteration.\n\nRoles and Responsibilities\n\nBack-End & Architecture (Primary):\n\n Build and maintain server-side services and APIs using Node.js and Express\n\n Design, implement, and optimize MongoDB schemas, indexes, and query patterns\n\n Own backend integrations including:\n\n Authentication (Firebase)\n\n Media storage (Cloudinary, AWS S3)\n\n Environment configuration and secrets management\n\n Logging and monitoring\n\n Define modular product service boundaries for T-World and standalone T-Cell. Keep T-Cell’s accounts, organisation configuration, access controls and application APIs independent of T-World-specific widgets or database structures, while reusing appropriate shared Technology services.\n\n Ensure backend reliability, performance, and scalability\n\n Implement T-Cell product APIs, authorised client integrations, user/organisation isolation, configuration and usage records as required by approved scope. Define contracts for context, permitted actions, structured outputs and errors with AI Engineering.\n\n Implement deterministic product validations, calculations and workflow rules in application services. Enforce permissions and validate all requested writes or actions even when they originate from an AI agent.\n\nFront-End Support (Secondary):\n\n Ship or support React components required to validate backend APIs, AI flows, or admin/internal tooling\n\n Collaborate with frontend engineers to ensure clean API contracts and smooth UI ↔ backend interactions\n\n Maintain code quality via pull requests, documentation, and shared standards\n\nAI Enablement:\n\n Integrate Technology-owned interfaces and application APIs with the T-Cell AI services supplied by AI Engineering, including connections to T-World and approved external systems.\n\n Support AI-powered experiences such as:\n\n Assistants\n\n Search\n\n Content generation\n\n Ensure safe and reliable AI integrations, including:\n\n Error handling and fallbacks\n\n Latency and timeout management\n\n Rate limiting and caching\n\n Storage, access controls and release support for versioned prompts and configurations; Data owns prompt creation and optimisation, and AI Engineering owns runtime prompt assembly\n\n Traceable outputs for debugging and evaluation\n\n Provide shared observability, controlled test environments and traceable API responses for Data’s evaluation and Education’s output review. Own interface/API, access-control, data-isolation and application reliability tests; AI Engineering owns agent, retrieval and model execution tests.\n\nDelivery, Security & Operations:\n\n Support CI/CD pipelines using GitHub Actions\n\n Follow secure practices for:\n\n Secrets and key management\n\n Access control and offboarding hygiene\n\n Build and maintain the application deployment, monitoring and operational arrangements for T-World and standalone T-Cell, coordinating infrastructure work with the Technology team and deploying AI packages supplied by AI Engineering.\n\nKnowledge, Skills & Attitude Requirements\n\nTechnical Knowledge & Skills:\n\n Strong experience with Node.js and backend design patterns\n\n Strong experience with MongoDB (schema design, indexing, aggregation, performance tuning)\n\n Solid working knowledge of Express.js\n\n Comfort working with React for integration-level UI tasks\n\n Familiarity with REST APIs, server-side architecture, and environment configuration\n\nSoft Skills & Attitude:\n\n Strong analytical and problem-solving skills\n\n Clear communication and collaboration across teams\n\n Ability to prioritize, execute, and deliver with attention to detail\n\n Ownership mindset and comfort working in a fast-paced environment\n\n Strong alignment with Tongston’s mission, values, and culture. Learn more about Tongston’s culture: https://tongston.com/about\n\nNice-to-Have Knowledge & Skills:\n\n Exposure to AI integrations (LangChain or similar)\n\n Familiarity with Web3 integration workflows (wallets, signing, token flows)\n\n Experience with background jobs, queues, or serverless patterns\n\n Exposure to cloud infrastructure (AWS)\n\nCore Stack\n\nBack-End (Primary Focus)\n\n Node.js with Express (API services / serverless routes where applicable)\n\n MongoDB (Atlas & Compass)\n\nFront-End (Supportive)\n\n React (Web)\n\n Vite\n\n Tailwind CSS\n\n State & data: TanStack Query, Zustand\n\nPlatform & Infrastructure\n\n Authentication: Firebase (synced with MongoDB)\n\n Storage:\n\n Cloudinary (short-term media handling)\n\n AWS S3 (long-term storage with immediate migration )\n\n CI/CD: GitHub Actions\n\n Security: CodeQL, Dependabot, basic OWASP-aligned practices\n\nService Integration Knowledge\n\n Working awareness of AI orchestration frameworks and service contracts; AI Engineering owns the agent runtime and orchestration implementation\n\n Integration with approved AI service APIs; Data owns prompt content and AI Engineering owns model execution\n\nWeb3 (Exposure-Level)\n\n Wallets, signing flows, token interactions-conversion\n\n On-chain vs off-chain boundaries (Deep smart contract development is not required)\n\nWhat You’ll Get\n\n Monthly gross professional fee of N200,000 per month.\n\n A monthly Remote Productivity Support Package.\n\n Monthly data support.\n\n A company-provided laptop and access to Tongston-funded platforms, software, licensed tools and other approved resources required to perform the role effectively, subject to approval and availability.\n\n Pathway to full-time employment opportunity to secure additional benefits, including pension, HMO, statutory employee leave categories, promotion-based entitlements, and staff welfare benefits. See our Careers page for more info.\n\n Exposure to full-stack software engineering with emphasis on back-end development, API architecture, database design, AI workflow integration, React web development, cloud infrastructure, authentication, DevOps practices, Web3 integration, secure software development, and cross-functional delivery across Tongston’s Enterprise, Media, Finance and Entrepreneurial Education pillars.\n\n Team-based execution and support, including an overall project management structure, reporting to a line manager, and collaboration within a sprint-based team workflow with defined weekly deliverables.\n\n A structured learning and growth pathway supported through twice-yearly performance review, development and growth conversations (January & July). If you join after a review cycle, your first review will take place in the next review window. The review helps you document and communicate how you’ve grown, developed and demonstrated being Valuable, Influential & Profitable.\n\n Learning & Development Budget: NGN350,000 to support continuous upskilling, role-specific learning and broader professional development subject to the applicable Terms and Conditions, internal guidelines and approvals.\n\n Up to 10 working days of approved paid time away from active delivery annually.\n\n Eligible for the Tongston Annual Personnel High Performance Award which comes with cash prizes and certificates you can include in your profile for future jobs.\n\n Professional Visibility: listed on Tongston’s website.\n\n Complimentary premium access to T-World, Tongston’s integrated digital platform. Learn more at t-world.tongston.com\n\n Eligibility for discretionary performance-based bonus/allocation\n\n Participation in Tongston Academy sessions (scheduled periodically):\n\n Personal branding (includes CV/LinkedIn review)\n\n Personal finance & investing\n\n Sales, communication & networking\n\n Business development & strategy\n\n Project management, Cybersecurity awareness & Digital automation tools\n\nApplication Closing Date\n\n31st December, 2026.\n\nMethod of Application\n\nInterested and qualified candidates should:\n\nClick here to apply online\n\nHow to Indicate Interest for the Role\n\n Please provide information about yourself, upload your CV & portfolio where applicable, and answer some basic pre-screening questions that demonstrate how you meet the knowledge, skills and attitude requirements for the role, in line with the JD, no later than 31 August 2026.\n\n Applications will be reviewed on a rolling basis, so we strongly encourage early submission.\n\n Note: If you have any questions or clarifications, please write to us at [email] with [email] in copy. 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