Senior Backend Engineer
Team: IT
Location: US
Commitment: Full-time
Workplace Type: remote
Accountabilities:
- Design and develop scalable, event-driven backend services and distributed systems supporting high-volume customer interactions.
- Build and maintain secure, high-performance APIs used by web applications, mobile platforms, and external integrations.
- Architect microservices, define service boundaries, and implement effective data flow and communication patterns across systems.
- Develop backend features including messaging systems, analytics pipelines, campaign execution, integrations, and data processing services.
- Implement integrations with external platforms and APIs while ensuring reliability, scalability, and performance.
- Maintain high-quality code through testing, code reviews, and adherence to engineering best practices.
- Integrate AI-powered capabilities using external AI APIs and experiment with new development approaches to improve engineering workflows.
- Mentor engineers through code reviews, technical guidance, and knowledge sharing.
- Collaborate cross-functionally with product managers and frontend engineers to deliver well-designed, scalable solutions.
- Contribute to long-term technical strategy, system observability, and infrastructure reliability.
- 5+ years of experience building backend systems, APIs, or distributed services in production environments.
- Strong expertise in distributed systems, microservices architecture, and event-driven design patterns.
- Experience designing and developing RESTful or GraphQL APIs, including authentication, authorization, and versioning strategies.
- Solid knowledge of database design, query optimization, indexing strategies, and performance tuning across SQL or NoSQL databases.
- Strong understanding of software engineering fundamentals including testing strategies, CI/CD pipelines, and collaborative development practices.
- Proficiency in at least one modern backend language such as Node.js, Python, Ruby, Go, Java, or C#.
- Experience with cloud infrastructure and scalable architectures, ideally in environments such as AWS.
- Familiarity with messaging systems, asynchronous processing, and service-to-service communication patterns.
- Experience integrating third-party APIs or building SaaS platforms in multi-tenant environments is a plus.
- Exposure to AI integrations, LLM APIs, or AI-driven product features is considered advantageous.
- Strong communication skills and the ability to collaborate effectively in distributed engineering teams.
- Competitive salary ranging from $140,000 to $200,000 per year.
- Remote-first work environment with occasional team gatherings.
- Flexible working hours and strong work-life balance practices.
- Generous paid time off, company holidays, and designated focus days.
- Health and wellness benefits including retirement plan options with employer matching.
- Professional development opportunities and budget for learning tools or experimentation.
- Clear career growth and advancement opportunities within a growing technology environment.
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