Axelerant
https://axelerant.comAbout
At Axelerant, we amplify human potential with intelligent systems, so that extraordinary outcomes become ordinary.
The routine work runs on systems we built ourselves. That frees our people to spend their time on judgment, craft, and the problems that don't come with a template. What we learn along the way stays with us, not stuck in someone's head who might leave tomorrow.
We work across the full arc, Strategy, Design, Engineering, and RevOps & Growth Marketing, with AI woven through each, so the work that used to need five vendors compounds under one partner.
150+ people across 12 countries, remote-first by design. The person you talk to is the person on the hook, never a committee.
Our values hold the work together. Excellence in what we ship. Kindness in how we treat people. Openness in how we communicate.
A human runs the work. AI runs underneath, in the open.
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Python
DjangoBuild backend systems that make complex workflows reliable, maintainable, and easier to evolve. You’ll work on production Python services, modernize existing applications, and deliver APIs and integrations used by real teams.
The role is focused on backend development using Python, Django, and FastAPI, with occasional contributions to frontend applications built with React or Next.js. You will work across API development, system integrations, data workflows, background processing, and the modernization of existing services.
You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar tools.
This is a backend-first role for an engineer who understands that testing, security, reliability, and observability are core parts of production software development.
What you'll do
- Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and FastAPI.
- Improve the maintainability of existing services by simplifying legacy workflows, business logic, data models, and integrations.
- Deliver secure, well-documented APIs that enable frontend applications, internal tools, and third-party integrations.
- Keep data workflows reliable through safe schema changes, migrations, backfills, validation, and failure recovery.
- Build background jobs and asynchronous workflows that handle retries, timeouts, rate limits, idempotency, and operational failures.
- Raise confidence in releases through automated tests, thoughtful code reviews, and production-readiness checks.
- Improve performance and reliability using profiling, query optimization, caching, monitoring, and practical fault handling.
- Make services easier to operate by maintaining useful logs, metrics, dashboards, alerts, and runbooks.
- Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product outcomes.
- Collaborate with product, frontend, platform, DevOps, SRE, and operations teammates to ship well-scoped solutions and document technical decisions.
What we're looking for
Required
- 3–5 years of professional software engineering experience, mainly in backend development.
- Good proficiency in Python and production experience with either Django or FastAPI, with willingness to learn the other.
- Practical experience designing REST APIs and integrating with third-party or internal services.
- Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database migrations.
- Experience writing automated tests and diagnosing defects or production issues.
- Good problem-solving, communication, documentation, and collaboration skills.
Preferred
- Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar tools.
- Experience deploying or supporting applications on AWS or another cloud platform.
- Familiarity with structured logging, metrics, dashboards, alerts, and observability tools.
- Exposure to React or Next.js integrations.
- Experience with Docker, Redis, webhooks, queues, or event-driven systems.
- Familiarity with CI/CD pipelines, infrastructure-as-code, secrets management, and least-privilege access.
- Experience helping with production incidents, performance testing, or safe deployment practices.
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