Senior Backend Engineer; Python​/Postgres

We’re seeking an experienced Senior Backend Engineer to join our small, high‑impact engineering team. In this role, you won’t just be implementing tickets; you’ll be helping shape the core of our product as we scale from a fast‑moving startup into a durable, data‑driven platform. This position is ideal for a backend‑leaning engineer who enjoys owning features end‑to‑end, designing systems that grow with usage, and collaborating closely across with UI/UX, product, and operations.

If you’re excited about building real systems with real users, enjoy deep backend work, and want meaningful ownership in a lean environment, we’d love to talk.

Design, build, and own features with a focus on data.

Lead backend development efforts using Python (Flask) and Postgres, with a focus on scalability, performance, and maintainability.

Design and evolve data models as the application transitions into a system of record.

Build and operate background jobs, async workflows, using RQ.

Contribute to the development of role‑based access control (RBAC), permissions, and authentication systems.

Build server‑rendered UI (Flask/Jinja2) for core workflows, and partner with UI/UX on more complex, client‑heavy interactions.

Help mature our architecture as usage grows, balancing speed with long‑term technical health.

Participate in code reviews, technical discussions, and architectural decision‑making.

Communicate tradeoffs and technical decisions clearly to teammates and stakeholders.

Strong backend engineering fundamentals with Python;
Flask experience a plus.

Deep experience designing and working with Postgres and relational data models.

Solid understanding of RESTful APIs and service‑oriented architectures.

Comfortable building server‑rendered views (Jinja2 or similar).

• Experience with background job processing and task queues (RQ, Celery, or similar).

Strong problem‑solving skills and sound technical judgment.

Excellent written and verbal communication skills.

Ability to work effectively in a lean startup environment.

5+ years of professional software engineering experience.

Proven experience delivering production systems with Python and relational databases.

Familiarity with background processing, task queues, and async workflows.

Experience working in small teams with shifting priorities.

Experience building or scaling data‑heavy applications.

Strong SQL performance tuning and query optimization skills.

Exposure to stats, analytics, or data aggregation workloads.

Experience implementing RBAC or multi‑tenant systems.

Comfort working with containerized environments and cloud infrastructure.

A product‑oriented mindset and appreciation for good UX.

A strong async communication style (and a respectable Slack emoji game).

Fully remote, within the United States