Senior Software Engineer

Job Description:
What You Get To Do Every Day
Design, build, and ship backend services and internal tooling that support our teams and customers, owning medium-to-large features end to end so teammates can understand, operate, and extend what you ship.

Produce high-quality, performant, secure, and testable code that contributes to company-wide initiatives;handle data in accordance with company policy.

Develop across our stack, including JVM (Java, Kotlin), Elixir, Ruby, React, TypeScript, GraphQL, Kafka, AWS/Lambda, PostgreSQL, DynamoDB, and related tooling.

Influence technical decisions on architecture, standards, and delivery for the systems your team owns.

Review pull requests and provide constructive feedback;pair with teammates and support onboarding when needed.

Deploy user-facing and operator-facing code to production responsibly.

Partner with product, engineering management, and stakeholders to clarify ambiguity and balance customer needs with technical constraints.

• Improve reliability and maintainability over time by using metrics and incidents to learn, strengthening observability, and leaving systems easier to run than you found them.

Skills/Experience:
Minimum Requirements:

3+ years of software engineering experience.

Experience building production-ready web applications and backend systems with reliability and security in mind.

Experience influencing technical direction (architecture, standards, delivery), not only executing predefined tasks.

Experience with Java, Kotlin, Elixir, Erlang, Ruby, JavaScript, Next.Js, or another programming language;ready to work on JVM services (Java, Kotlin) when assignments require it.

Familiarity with common engineering tools such as IDEs, RESTful APIs, Git repositories, TypeScript, version control software, and remote deployment tools.

Familiarity with event-based architectures, event streaming (for example Kafka), database fundamentals, and GraphQL or comparable APIs.

Comfort working with complex, contextual domain data (rules and validations that vary by category or context) and integrating with neighboring services.

Preferred Requirements:

Production experience with JVM services (Java, Kotlin), including common frameworks and tooling, and/or web applications using JavaScript, TypeScript, HTML, CSS, and React.

Experience integrating LLMs or managed AI APIs into backend or internal tooling (for example enrichment, classification, attribution, or human-in-the-loop review).

Experience building microservices integrated with neighboring teams or shared platforms, including eCommerce or marketplace platforms.

Experience with dashboards, monitoring, or incident response in production, Python as production backend work alongside JVM or service-oriented systems, or a Bachelor of Computer Science degree or equivalent experience.