{"id":1474842,"url":"https://alion.io/job/trinity-senior-engineer-full-stack-engineering","title":"Senior Engineer, Full Stack Engineering","company":{"id":1874379,"name":"Trinity","domain":"trinitylifesciences.com","url":"https://alion.io/company/trinitylifesciences","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","Princeton, United States","Waltham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128000,"max":192000,"currency":"USD","period":"year","gross":null,"usd_annual":192000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GraphQL","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Jest","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PWA","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React Native","optional":false},{"name":"Redux","optional":false},{"name":"Rest API","optional":false},{"name":"Selenium","optional":false},{"name":"Sentry","optional":false},{"name":"State Management","optional":false},{"name":"Trunk-Based Development","optional":false},{"name":"TypeScript","optional":false},{"name":"Vite","optional":false},{"name":"Webpack","optional":false},{"name":"WebRTC","optional":false},{"name":"WebSockets","optional":false},{"name":"Zustand","optional":false},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-09-30T04:21:14Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Senior Full Stack Software Engineer\nLocation: Waltham, MA; New York, NY; Princeton, NJ\nEmployment Type: Full-Time\nWork Mode: Hybrid\nPosition Summary\nWe're looking for an exceptional engineer who loves building cloud-native applications with AI at their core. If you thrive where modern infrastructure meets intelligent software, this is your role.\nWhat You'll Do\nArchitect and ship scalable cloud apps on AWS, Azure, or GCP (Lambda, ECS, Kubernetes) with event-driven microservices and serverless architectures \nBuild AI/ML integrations using modern frameworks while driving best practices for prompt engineering, RAG patterns, and agent orchestration \nLead technical architecture decisions, code reviews, and define development standards and technical roadmaps \nOwn the full stack-from pixel-perfect, accessible UI implementation to robust Django REST and GraphQL APIs \nBuild real-time features using WebRTC, WebSockets, and Server-Sent Events \nCreate and enforce engineering excellence through coding standards, comprehensive testing strategies (unit, integration, agent-based, E2E), documentation, and deployment patterns \nChampion DevOps practices, security compliance, and CI/CD pipelines while establishing observability with APM tools \nLead and mentor teams through agile delivery, establishing engineering culture through technical leadership and knowledge sharing \nCollaborate with data engineering teams on pipeline integration and consumption patterns \nLead production incident response, post-mortems, and evaluate emerging AI/ML tools and frameworks \nBridge product, design, and engineering to deliver fit-for-purpose client solutions \nWhat You'll Bring\n8+ years building production-grade solutions with proven tech leadership \nExpert in React web apps, React native with state management (Redux, Zustand), TypeScript, modern JavaScript, and responsive component libraries \nExpert in building AI applications with LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIs, including token optimization, cost management, and streaming responses \nExpert in Python and Django with REST and GraphQL API design, plus async patterns (asyncio, FastAPI) for AI workloads \nExperience with multi-modal AI (text, images, documents), fine-tuning, model adaptation, and understanding of data quality and governance in AI contexts \nHands-on Docker and containerization with CI/CD pipeline creation (Git, Jenkins, Artifactory) \nDeep cloud platform development experience (AWS, Azure, GCP) with serverless, containers, and understanding of security, IAM, and authentication patterns (OAuth, JWT, SSO) \nExperience with RDBMS, NoSQL, and semantic databases, including schema design and query optimization \nProficiency with testing frameworks (Jest, Pytest, Selenium) and build tools (Webpack, Vite) with Git workflows and trunk-based development \nExperience with monitoring and logging tools (CloudWatch, Sentry, Langfuse) \nClear communicator who takes initiative, follows through, and thrives as a collaborative problem-solver in fast-paced environments \nLife sciences background \nCloud or AI developer certifications (AWS/Azure/GCP) \nShipped AI-powered features to production \nLLM and AI agent development experience \nOpen-source contributions \nPWA development and edge computing optimization\nAbout Trinity\nTrinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey-from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.\nTrinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. The base salary range for this role is $128,000 - $192,000 per year. Compensation is determined based on factors such as the candidate’s skills, experience, job-related education and training, location, and internal equity. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.\nTrinity’s Commitment to Inclusion & Engagement (I&E)\nTrinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)-a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives-they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.","description_format":"text","description_chars":5941,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Biotechnology","Health Care"],"lifecycle":[{"event":"open","at":"2026-09-29T18:27:00Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.135,"p_room":0.35,"age_days":50,"expected_fill_days":24,"reasons":["conf:0","win:tail"],"computed_at":"2026-09-30T05:18:59Z"},"pay":{"stated_usd_annual":192000,"is_top_pay":true},"html_url":"https://alion.io/job/trinity-senior-engineer-full-stack-engineering","json_url":"https://alion.io/job/trinity-senior-engineer-full-stack-engineering.json","meta":{"generated_at":"2026-09-30T05:18:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3695,"day_limit":5000,"remaining_today":1305,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}