[Remote] Software Engineer

Note: The job is a remote job and is open to candidates in USA. Wellspring Worldwide provides web-based software systems for managing research, technology commercialization, and innovation operations. The Software Engineer will build and evolve the Accolade platform by shipping production code, developing cloud-native and AI-first capabilities, and collaborating across engineering, product, design, QA, and DevOps.

Responsibilities

• Design, build, and ship features across the Accolade platform — owning substantial pieces of work end to end, from technical approach through production operation
• Write high-quality, well-tested production code, and set the standard for the rest of the team through the work you deliver rather than the documents you write
• Raise the quality bar through thorough code review, constructive feedback, and pragmatic refactoring of the code you work in
• Build and maintain containerized services, contributing to deployment pipelines, environment consistency, and scalable workload management
• Apply and reinforce sound practices for security, observability, and resilience in the systems you build
• Debug and resolve complex production issues across the stack, and feed what you learn back into the codebase
• Evaluate and responsibly adopt emerging technologies, with particular emphasis on AI and agentic systems, by prototyping and proving them in real work
• Work AI-first as a member of the team — modeling in your own day-to-day what it looks like to build software with AI as a core part of the workflow, not a productivity shortcut
• Contribute to the team’s shared norms for how engineers engage with AI tools throughout the full development lifecycle: writing and reviewing code, designing systems, authoring tests, producing documentation, and debugging production issues
• Design and build developer-facing agents and skills that meaningfully augment the team’s ability to deliver — automating routine tasks, accelerating onboarding, surfacing context, and reducing cognitive overhead
• Compose agents from discrete, reusable skills with clear interfaces, testable behavior, and consistent patterns that the whole team can build on
• Help shape how the team prompts, chains, and evaluates agents so that AI-assisted work is reproducible, reviewable, and held to the same quality bar as hand-written code
• Share what you learn using AI in development so those insights improve our tooling, processes, and engineering culture over time
• Keep up with the rapidly evolving landscape of agentic development paradigms and bring that knowledge back to the team through documentation, working examples, and demos
• Help the team spot where AI-assisted workflows can have the greatest impact, and where they are the wrong tool for the job
• Build agentic capabilities into the Accolade product, implementing them safely, reliably, and to the same standards applied to the rest of the platform
• Collaborate with product and design colleagues to assess opportunities where AI can enhance the customer experience, contributing technical judgment on feasibility and risk — and prototyping to find the answer where it isn’t obvious
• Break complex problems down into well-scoped, deliverable work, and help keep the team’s backlog grounded in technical reality
• Participate actively in Agile ceremonies: sprint planning, design reviews, and retrospectives
• Collaborate cross-functionally with Product, Design, QA, and DevOps to ensure end-to-end solution quality
• Mentor mid-level and senior engineers on cloud-native patterns, system design, and AI-first development practices — primarily through pairing, code review, and worked examples
• Contribute to the continuous improvement of our engineering culture, metrics, and software development practices

Skills

• Hands-on fluency with AI-assisted development tools — using them daily and understanding their strengths, failure modes, and appropriate limits
• Experience building and orchestrating agents: designing agent loops, managing context and memory, composing multi-step pipelines from discrete skills, and handling failure modes gracefully
• Ability to define reusable, well-scoped skills with clear interfaces and predictable behavior — the building blocks of reliable agentic workflows
• Prompt engineering as a first-class discipline: structured prompting, output validation, iterative refinement, and the ability to teach these practices to others
• Practical experience evaluating agent behavior: defining what good looks like, building evals, and holding AI-generated work to the same standards as hand-authored code
• Ability to identify which parts of a development workflow are good candidates for automation or AI assistance and which are not
• Strong working command of containerization and orchestration — building and running services that are scalable, reliable, and operationally simple
• Experience with major cloud platforms and their managed services, with a preference for platform-native solutions over custom infrastructure
• Infrastructure as code practices applied consistently across environments
• Building and maintaining CI/CD pipelines with an emphasis on fast feedback, automated quality gates, and safe deployment patterns
• Distributed systems fundamentals applied in practice: service communication, event-driven patterns, observability, and fault tolerance
• Expertise in C# / .NET — platform internals, async programming, and performance optimization
• API design and implementation using ASP.NET Core, including REST principles, versioning, and middleware patterns
• Relational database design, ORM usage, and T-SQL query optimization
• Front-end development with React and TypeScript, including component design and state management patterns
• Proficiency with modern JavaScript/TypeScript, HTML, and CSS
• Performance profiling and analysis across both server and client layers
• Comprehensive testing strategies spanning unit, integration, and end-to-end coverage
• Security fundamentals: secure coding practices, secrets management, and awareness of common vulnerability classes
• Takes an AI-first approach to their own work — experiments constantly with new tools and practices, and shares what works with the team
• Able to translate complex technical trade-offs into clear, actionable language for both engineers and non-technical partners
• Leads through craft — influences through the quality of the work, clear reasoning, and example rather than authority
• Thrives in a highly agile environment and adapts quickly to new information and shifting priorities
• Excellent written and verbal communication skills; writes design docs, pull request descriptions, and documentation that others can act on
• Strong sense of ownership — self-starting, proactive, and accountable for outcomes
• Pragmatic over dogmatic — chooses the right tool for the job and knows when good enough is the right answer

Benefits

• Flexible, remote-first work environment

Company Overview

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