Senior Software Engineer

Nuuly is hiring a Senior Software Engineer to join our Technology team. Building performant scalable cloud service environments is hard. Nuuly knows this firsthand, having built a cloud-based microservices platform from the ground up to power our online customer experience and drive the logistics and processing of our garment distribution centers. We're looking for a Senior Engineer with the initiative and expertise to help mature this platform into a stable, scalable, and robust backbone for launching the next wave of Nuuly innovations.

What You Will Do

Producing architectural proposals and engaging in discussions and decision-making for new features and platform evolution, Collaborating with the product team to design solutions for stakeholder features and inform product decisions through technical feasibility analysis, Mentoring junior engineers through code review, pair programming, and design discussions, Delivering the whole lifecycle of deployable features: design, code, testing, configuration, documentation, deployment, and support

Why It Might Be a Fit

You'll bring experience that extends beyond personal code contribution: leading design for moderately complex features, driving communication between teams, providing critical feedback, coordinating with others, and providing mentorship as needed. You'll participate in incident response and post-mortem processes to improve system reliability.

Requirements

• 5-7 years of software engineering experience with ~2 years of senior-level responsibilities
• Operational knowledge of one or more server-side object-oriented programming languages (Java, Kotlin, Scala, or other JVM languages preferred; Python, Go, Node/TypeScript also considered)
• Able to talk comfortably about microservices architecture, distributed system design, streaming data, messaging technologies, and database design patterns
• Experience and enthusiasm for testing, test-driven development, and building reliable systems
• Proficient with leveraging AI tools in day-to-day development tasks such as code generation, debugging, and documentation
• Able to hit the ground running and quickly familiarize yourself with an existing codebase and toolset
• Able to propose and walk through solutions in technical leadership discussions and communicate effectively across functional teams
• Operational knowledge of Java, Kotlin, Scala, or other JVM languages (Python, Go, Node/TypeScript also considered)
• Strong experience designing, building, and operating microservices architectures; expertise with RESTful APIs, HTTP protocols, and service integration patterns
• Experience with Google Cloud Platform (GCP) or other major cloud providers (AWS, Azure); knowledge of container technologies (Docker, Kubernetes)
• Hands-on experience with relational databases (Postgres, AlloyDB) and understanding of data modeling, query optimization, and schema evolution.
• Understanding of distributed system design patterns, consistency models, and trade-offs in microservices architectures (e.g., Kafka, Spark, Storm, etc.)
• AI/LLM Proficiency: Practical experience using Large Language Models (ChatGPT, Claude, Cursor, Windsurf, Copilot etc.) for work tasks
• Understanding of prompt engineering and how to provide effective context to AI tools
• Familiarity with structured AI guidance methods (system prompts, rules files, agent configurations)
• Knowledge of AI tool integration concepts (MCP, connectors, agentic workflows)
• Ability to identify opportunities where AI can drive efficiency improvements

Benefits

• medical
• dental
• vision
• PTO
• generous employee discounts
• retirement savings