Senior Software Engineer

Accountabilities

• Contribute daily as a senior member of an agile engineering team, following strong software development practices and contributing to the shared codebase.


• Develop, maintain, and improve production applications primarily using Python.


• Design and deliver reliable APIs and integration capabilities that enable partners to connect with the wider product ecosystem at scale.


• Build resilient event-driven workflows incorporating idempotency, retries, dead-letter handling, reconciliation, and graceful degradation.


• Design software that remains reliable when interacting with external systems that may have limited control, availability, or predictability.


• Apply strong engineering practices to produce clean, maintainable, well-tested, well-documented, and efficient code.


• Participate in technical discussions covering complex requirements, architecture, design patterns, and implementation approaches with both technical and non-technical stakeholders.


• Collaborate directly with customers and technology partners to understand challenges and identify effective technical solutions.


• Research and evaluate emerging technologies, libraries, tools, and techniques to determine their suitability for the platform.


• Contribute to architectural decisions and the continuous improvement of development and operational practices.


• Drive strong API design and developer experience so that partners can integrate efficiently and reliably.


• Support knowledge sharing, code reviews, and a collaborative environment where engineering skills and capabilities can grow.


• Own aspects of cloud-native delivery and operations, including deployment, monitoring, troubleshooting, and production incident response.

• 5+ years of professional software engineering experience building, shipping, and operating production applications.


• Strong proficiency in at least one production programming language such as Python, Java, TypeScript, or PHP, with the ability to work effectively across a broader technology stack.


• Strong understanding of relational data modeling, PostgreSQL, caching, API design, distributed systems, and asynchronous or event-driven architectures.


• Solid software engineering fundamentals covering maintainable architecture, design patterns, automated testing, debugging, performance optimization, security, and operational reliability.


• Strong knowledge of REST APIs and modern API design best practices.


• Experience working in environments where high availability, scalability, security, automation, and observability are core engineering priorities.


• Demonstrated commitment to observability and data-driven engineering decisions through metrics, experiments, prototypes, and system insights.


• Strong knowledge of software engineering best practices and a passion for building reliable, developer-friendly APIs.


• Experience owning cloud-native application delivery and operations, including technologies such as Terraform, Docker, Kubernetes, Helm, Argo CD, AWS, CI/CD, and observability platforms.


• Experience participating in or leading production incident response and operational troubleshooting.


• Strong teamwork, organization, prioritization, and time-management skills.


• Excellent written and verbal communication skills, with business-level English proficiency.


• Comfortable collaborating effectively within a fully remote and globally distributed engineering organization.


• Strong sense of ownership and a pragmatic approach to solving complex technical problems.

• Fully remote, remote-first working environment.


• Opportunity to work with an international, globally distributed team across numerous countries and time zones.


• Paid time off in accordance with local labor requirements.


• Monthly Wellness Fridays, providing an extended weekend each month.


• Fully paid parental leave.


• Home office stipend based on country of residence.


• Access to professional development courses through an internal learning platform.


• Opportunities for upskilling, manager training, knowledge sharing, and continued professional development.


• Exposure to modern cloud-native technologies and large-scale distributed systems.


• Opportunity to work on complex integrations connecting a broad ecosystem of technology partners.


• Inclusive, collaborative culture that values diverse perspectives and backgrounds.


• Meaningful technical ownership and opportunities to influence architecture, engineering practices, and product reliability.

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