Job Closed
This listing is no longer active.
Connect. Collaborate. Contribute.
Senior Full Stack Engineer
Location
Pennsylvania
Posted
113 days ago
Salary
0
Seniority
Senior
Job Description
Senior Full Stack Engineer
Life Science Connect
• Own end-to-end full-stack delivery of features and subsystems • Contribute to the evolution of our Next.js and React-based architecture • Execute the migration and hardening of our authentication flows from legacy providers to Microsoft Entra ID • Draft and defend technical specifications before cutting code • Build with a mindset of "elegant but not overengineered" • Work with cross-functional teams including Product, DevOps, Data, and Delivery
Job Requirements
- 6+ years building and operating full-stack applications
- Strong in Next.js, React, TypeScript, and REST APIs
- Deep understanding of the Headless philosophy
- Experience with headless CMS platforms, ideally Optimizely
- True full-stack capability across frontend, backend, and system boundaries
- Experience with Azure (IaaS/PaaS), Docker/Kubernetes, and CI/CD workflows
- Familiarity with platforms like Datadog or Application Insights
- Curiosity and practical experience leveraging LLMs
Benefits
- Medical/vision/prescription/dental coverage for you and your family
- 100% company-paid short- and long-term disability insurance
- 100% company-paid life insurance
- 401(k) with dollar-for-dollar company match up to 6%
- 15 vacation days and 6 personal days on day 1
- 13 company-paid holidays
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
• Your responsibilities will span technical leadership, team management and hands-on execution. • Set and drive technical strategy aligned with company objectives, balancing speed, scalability, reliability, and long term platform health. • Manage and develop a small team of engineers, including hiring, coaching, performance management, and career development. • Remain hands on in the codebase, contributing to architecture decisions and implementing critical features and infrastructure improvements. • Own platform architecture and evolution, ensuring our systems are secure, performant, scalable, and maintainable. • Lead high impact initiatives, especially those involving complex technical tradeoffs, cross functional dependencies, or architectural change. • Champion a culture of accountability, craftsmanship, and continuous improvement across the engineering team.
• Build & Operate Reliable Systems; Design, deploy, and support scalable APIs and services, with a strong focus on performance, reliability, and observability • Lead Technical Initiatives; Own the design and delivery of major back-end projects, contribute to architectural decisions, and help evolve the platform • Maintain High Engineering Standards; Write high-quality, well-tested code, participate in rigorous code reviews, and continuously improve development and release practices • Collaborate with Peers; Work closely with other experienced engineers to solve complex problems, share context, and make thoughtful technical tradeoffs • Own Outcomes; Independently prioritize work, manage large initiatives end-to-end, and take responsibility for system health and business impact
Senior/Staff Software Engineer
HomeboundHomebound is the first tech-powered homebuilding company of its kind—now building in CA, TX, CO and FL.
• Design, build, and deliver features across the platform. That means internal tools that power construction operations and customer-facing experiences for homeowners. You own the full lifecycle from technical design through deployment and monitoring. • Write and deploy high-quality, production-grade code daily. • Work with product to translate messy, real-world processes into clean, reliable software. • Raise the bar across engineering. Review designs, mentor peers, improve developer experience, and help other engineers work through complex problems. • Contribute to architecture decisions, API contracts, and data models that shape how our systems scale and evolve.
Senior Software Engineer, Knowledge Engine
PineconeThe Pinecone vector database: Long-term memory for AI.
• Design and build scalable platform components leveraging advanced retrieval • Design and build optimized indexing pipelines for structured and unstructured data • Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration • Improve retrieval quality through evaluation and observability frameworks • Design APIs for internal and external users • Optimize latency, throughput, and cost across large-scale inference and retrieval workloads • Drive technical direction for reliability and security




