Sr Software Engineer

Recruiter for this role: Britney Dias

Responsibilities

• Write clean, efficient, and testable code, owning complex features and services from design to deployment.
• Work closely with your squad (PMs, engineers, QAs) to refine requirements, scope technical solutions, and deliver great software.
• Champion automated testing and CI/CD. You ll write unit, integration, and contract tests, and help make our systems robust and reliable.
• Build, deploy, and monitor services in AWS using tools like Terraform, Kubernetes, and GitHub Actions.
• Take responsibility for the health, performance, and maintainability of the code you ship.
• Help evolve our engineering standards and practices by sharing knowledge, reviewing code, and learning from incidents.
• Champion observability. You ll be using DataDog to monitor services and debug production issues.
• Being a mentor and teacher to less experienced engineers.
• Develop in an Agile environment using tools like Git, Jira, and Confluence, with a mindset of collaboration and continuous improvement.

Non-negotiable

• 5+ years of experience in software development with a strong focus on TypeScript (Node.js & React) and excellent knowledge of JavaScript fundamentals.
• Experience building and running production systems in AWS using tools like EKS, Lambda, RDS.
• Skilled in designing and building GraphQL and RESTful APIs, with practical knowledge of MongoDB, PostgreSQL, and Kafka.
• Comfortable developing software within an event-driven architecture.
• Deep knowledge of writing automated tests with Jest, Pact, and the principles of TDD.
• Comfortable building and maintaining CI/CD pipelines (we use GitHub Actions) for code deployment primarily using Terraform.
• Experience using DataDog (or similar) to monitor services and debug production issues.
• Experience working in Agile environments using tools like Git, Jira, and Confluence, with a mindset of collaboration and continuous improvement.
• Able to take a problem and run with it, bringing a pragmatic, product-focused approach to software delivery.
• Demonstrated and continuous use of AI-assisted tooling to optimize productivity, architectural decisions, and code robustness.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.