Senior Software Engineer - Remote

• Design and maintain distributed systems that are resilient to failure — applying patterns like circuit breakers, retries, idempotency, and rate limiting where they count

• Own the full lifecycle of services from design through deployment, including CI/CD pipelines, containerization (Docker/Kubernetes), and cloud infrastructure

• Implement and iterate on observability practices: structured logging, metrics dashboards, distributed tracing, and alerting

• Contribute to infrastructure-as-code practices (Terraform, Pulumi, or similar) and cloud cost optimization

• Design performant, well-normalized data models across relational (PostgreSQL, MySQL) and non-relational (Redis, MongoDB, DynamoDB) stores

• Build and maintain data pipelines, ETL/ELT workflows, and integrations with third-party services and external APIs

• Apply caching strategies thoughtfully — CDN, in-memory, and application-level — and understand the failure modes of each

• Work with message queues and event streaming platforms (Kafka, SQS, RabbitMQ) to build decoupled, async architectures

• Apply secure coding practices by default: input validation, secrets management, least-privilege access, and protection against common vulnerabilities

• Contribute to compliance efforts (SOC 2, GDPR, or similar) with an understanding of how engineering decisions affect data privacy and auditability

• Be the go-to engineer for hard problems — unblock teammates, provide crisp technical direction, and raise the quality of design reviews

• Mentor junior and mid-level engineers through code review, pairing, and direct, constructive feedback

• Write architecture decision records (ADRs) and technical documentation that outlast the original project

• Partner with Product and Design to scope work realistically, surface constraints early, and deliver with clarity

• Represent engineering in cross-functional conversations and earn influence through execution, not hierarchy

• 8+ years of software engineering experience, with deep expertise in backend systems — APIs, databases, distributed architectures, and cloud infrastructure

• Strong command of at least one backend language (Python, Go, Java, Rust, or similar) and comfort working across major cloud platforms (AWS, GCP, or Azure)

• Hands-on experience with relational databases (schema design, query optimization, indexing) and familiarity with non-relational or caching layers

• Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD pipelines

• Demonstrated ability to own and deliver complex, ambiguous projects end-to-end with minimal supervision

• Track record of mentoring engineers and influencing technical direction without formal authority

• Clear, direct communication — you can explain a hard trade-off to an engineer and a product manager alike

• Experience working in a startup environment — you've built and scaled systems while the business was growing rapidly underneath them, worn multiple hats, and thrived in ambiguity

• Experience with our stack or adjacent: Node.js/TypeScript, AWS Lambda/CDK/Step Functions, PostgreSQL, Cloudflare

• Familiarity with auth systems (e.g. OAuth) and observability tooling

• Experience with workflow orchestration tools (Temporal, Airflow, Prefect) and async job processing at scale

• Working knowledge of infrastructure-as-code (Terraform, Pulumi) and cloud cost management

This role rewards engineers who think in systems — who aren't satisfied shipping a feature that works today if it'll break at 10x scale. You're someone who:

• Has deep backend instincts: clean data models, well-designed APIs, observable services, and resilient failure modes

• Leaves code, documentation, and systems measurably better than you found them

• Brings a product mindset: you understand why you're building something, not just how

• Earns trust through execution, not hierarchy — your opinion carries weight because of what you've shipped

• Thrives in the ambiguity of a fast-moving company and knows when to move fast vs. when to slow down and get it right

• Could step into a management role if needed, but genuinely prefers to stay in the code and go deeper

• Meaningful backend challenges on a product that's growing fast and reaching real users

• A small, high-trust team where your decisions have outsized impact

• A culture that values engineering excellence and invests seriously in the people who drive it