Software Engineer

OttimateAccounts payable automation

Workable workplace: remote; Workable locations: United StatesFull-TimeMiddle

SalaryUSD $130,000-155,000 (depending on level) per year + annual bonus.

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Job Details

Experience: Professional software engineering experience at an early-to-mid-career level.
Required Skills: PostgreSQLPythonDjangoGitRESTful APIsDebugging

Have professional software engineering experience at an early-to-mid-career level.
Bring strong working knowledge of Python.
Have experience designing, querying, and debugging applications backed by relational databases.
Be familiar with APIs, automated testing, Git, and collaborative software-development practices.
Have used AI-assisted coding tools in real development work and be able to evaluate and validate generated code.
Demonstrate strong debugging skills, including in unfamiliar codebases.
Understand common application concerns such as authorization, concurrency, retries, idempotency, and failure handling.
Work carefully with systems that handle sensitive business and financial data.
Be comfortable on a small team with broad ownership and changing priorities.
Nice to have: experience with Django or another Python web framework, PostgreSQL, and database-performance optimization.
Nice to have: familiarity with Celery, AWS, ECS, Docker, CI/CD, or observability tools such as ClickStack, Sentry, or OpenTelemetry.
Nice to have: experience with TypeScript, Angular, fintech or accounting software, production support, or customer and support-team collaboration.

Build, test, and maintain backend product features using Python, Django, and relational databases.
Use AI coding tools to investigate problems, implement changes, write tests, and improve documentation.
Review AI-generated code for correctness, security, performance, and maintainability.
Translate customer feedback into reproducible technical problems and practical product improvements.
Investigate root causes, check whether customer data was affected, and correct it when needed.
Own work from initial investigation through implementation, testing, QA, deployment verification, and follow-up.
Build and maintain APIs, asynchronous jobs, integrations, internal tools, and data-processing workflows.
Participate in code reviews and technical discussions with the engineering team.
Improve system reliability, observability, documentation, and development processes.
Protect financial correctness, tenant isolation, data integrity, auditability, and customer privacy.

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