Senior Software Engineer (Full Stack)

📍 Remote | 💼 Full-Time

About the Position

We're looking for a Senior Software Engineer who can own a workstream end-to-end - from an ambiguous business problem through architecture, implementation, testing, and deployment. This role leans toward backend architecture, operational infrastructure, and platform integration, primarily in GoLang and JavaScript/TypeScript, with solid full-stack chops.

We're looking for someone comfortable using agentic AI development tools as a core part of how they build - managing context, using skills, and picking the right model to move quickly while still producing on-spec, architecturally sound code. This is not a "vibe coder" role - our team works heavily with AI-assisted development and is endeavoring to say on the forefront of modern practices, and we are looking for a strong engineer who has learned to scale engineering excellence with AI. Just as important, you should have real product instincts: an understanding of our users, the KPIs that matter, and the business case behind what we build, along with enough UX sense to design interfaces people can actually use.

We're not looking for someone who just writes code fast. We need engineers who can work from ambiguity, make sound architectural and product calls, and deliver stable, well-tested solutions with minimal hand-holding from product, design, or QA.

You Will

• Own workstreams end-to-end, from defining business requirements through architecture, implementation, testing, and deployment
• Use agentic AI development tools as a core part of your workflow, applying strong context management, custom skills, and model selection to move fast without compromising code quality or architectural soundness
• Design and build scalable, secure platform services with testability designed in from the start, not bolted on after
• Make and own architectural decisions, including how and where to responsibly guardrail AI-generated code
• Partner directly with product, design, and business stakeholders - understanding not just what to build, but why, and how it will be measured
• Apply UX principles to build interfaces that are genuinely usable, not just functional
• Understand how your code ships: containerization, CI/CD, and cloud deployment, even where you're not the deepest specialist
• Identify and mitigate technical risk and ambiguity before it becomes a bottleneck
• Mentor other engineers and help raise the bar on how the team works with AI-assisted development

What You Bring

Engineering & Architecture

• 8+ years as an individual contributor, with the judgment to know what good architecture looks like and when to deviate from it
• Proficiency in Golang, including how its architectural patterns differ from other object-oriented languages
• Full-stack experience - we use Vue on the frontend; equivalent depth in React or a similar framework is fine, but we do need demonstrated Go experience
• Experience with SQL and NoSQL datastores (e.g., Postgres, Redis)
• Practical understanding of microservices vs. monolith tradeoffs
• Experience building and maintaining RESTful APIs for diverse frontend clients
• Proficiency with real-time communication protocols (WebSockets, WebRTC)
• Strong grounding in TDD/BDD and knowing when each is the right tool

AI-Assisted Development

• Demonstrated, hands-on experience using LLM-based agentic tools to build production software — not just as an autocomplete, but as a core part of the development lifecycle
• Practical skill in managing context, writing/using reusable skills or prompts, and choosing the right model for a given task
• A track record of using AI tools to deliver on-spec, architecturally sound code quickly, while maintaining ownership over quality and correctness

Product & Business

• Genuine product development experience — understanding of users, KPIs, and how engineering decisions connect to business outcomes
• Comfort working from ambiguous requirements and turning them into a clear, sound technical plan
• Working knowledge of UX principles and the ability to implement usable, well-considered interfaces
• Ability to work collaboratively and communicate effectively with cross-functional and business stakeholders

Platform & Operations

• Solid understanding of the SDLC and how DevOps practices fit into it — deep specialization not required, but you should be comfortable with containerization (Docker), a major cloud provider (GCP or AWS equivalent), CI/CD (Git, Argo, Helm), and infrastructure-as-code (Terraform)
• Proficient in scripting (Bash, Python, etc.)

Mindset

• A "player-coach" mentality — enjoys mentoring and collaborating across a range of experience levels and technologies
• High attention to detail, with strong analytical and troubleshooting skills

What's in It for You

• Compassionate and driven colleagues in a fun environment where success is celebrated
• Accelerated career growth in a fast-growing company
• Coaching from experienced engineering leaders
• Direct access to executives and a transparent company culture
• A rare opportunity to change an industry and the lives of millions

About Jeenie

Jeenie is a virtual interpreting platform that connects users to live, qualified interpreters for on-demand language assistance via video or audio. Our global community of interpreters, located in over 140 countries, is available 24/7 in over 300 languages. Clients access Jeenie from any smartphone, tablet, or computer, as well as through third-party integrations like Zoom.

We believe language is a Basic Human Right. We're on a mission to eliminate language barriers and ensure equitable access in healthcare, education, refugee and immigration support, legal services, and government — while also enabling business and social conversations.

Join Our Team! As an innovative, young tech company, we're positioned to expand our peer-to-peer marketplace platform into a market leader and disrupt a $60 billion industry. We're hiring vibrant, intellectually curious people who want to help us achieve our mission, grow professionally, and be part of a supportive and dynamic team.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.