Software Engineer, SaaS
Role details
Job location
Tech stack
Job description
We are looking for a passionate and resourceful software engineer to join the EarnIn payroll services team. In this role, you'll help design, build, and maintain backend services for EarnIn's new payroll SaaS product. You'll collaborate closely with teammates across engineering, product, and design to deliver high-impact features and ensure our systems are reliable and scalable. This position is ideally hybrid from our Mexico City office as part of our expanding site, though remote can be considered. EarnIn offers excellent benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View, CA headquarters. Our salary ranges are determined by role, level, and location.
WHAT YOU'LL DO
- Contribute to the design and development of backend components such as payroll and tax processing engines, ledger services, and pay cycle management.
- Build and maintain services and APIs using Go (Golang) or other modern languages, focusing on maintainability, security, and performance.
- Collaborate with product managers, designers, and other engineers to deliver features that meet the needs of payroll customers.
- Assist in investigating and troubleshooting production issues, learning to apply root cause analysis and propose improvements.
- Support the development of scalable and reliable microservices for time-critical financial workflows.
- Participate in code reviews, learning and applying best practices while improving your own coding skills.
- Help ensure features are delivered with quality and within agreed timelines.
Requirements
- 3+ years of professional software development experience (internships or projects may count).
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience.
- Proficiency in at least one modern programming language (e.g., Go, Python, C#, or similar).
- Experience working with relational databases.
- Familiarity with cloud platforms (AWS preferred).
- Exposure to infrastructure-as-code tools (e.g., Helm, Kustomize, Terraform) is a plus.
- Interest in working with Kubernetes-based environments and learning to optimize for resiliency and scalability.
- Strong communication skills and a collaborative mindset.
- Ability to learn quickly, adapt to new challenges, and thrive in a fast-paced environment.