Search Atlas: Lead Backend Engineer; Python/Django
Salário Estimado
R$ 4.500,00 - R$ 5.500,00
Descrição da Vaga
Position: Search Atlas: Lead Backend Engineer (Python/Django) Location: New York Headquarters: New York, NY URL:
From Fortune 500 companies to Silicon Valley startups, our clients trust us to drive results.
We’re hiring a Lead Backend Engineer to guide the technical direction of one of our core product teams within our SEO intelligence platform.
This role combines deep technical expertise with leadership and collaboration skills, you’ll be both a hands‑on engineer and a technical partner to the Product Manager and other key stakeholders.
You’ll act as the most senior backend engineer in the team, mentoring other developers, driving architectural decisions, and ensuring that our backend systems are performant, maintainable, and aligned with product goals.
We’re looking for someone who is technically excellent, people‑oriented, and proactive in leading by example.
Responsibilities • Lead backend development for the product team, ensuring alignment with company‑wide engineering standards.
Requirements • 6+ years of experience with Python 3 and Django REST Framework
We host monthly virtual game days and events, and our team enjoys the flexibility of contributing to charity initiatives of their choice.
We believe in supporting both personal growth and professional success, ensuring that remote work doesn’t mean disconnected work.
Here’s a look into our core values:
Why Join Us? We’re proud of the recognition we’ve received for our growth and commitment to creating a positive, inclusive work environment.
Here are just a few of the accolades that highlight our success and culture:
S.
Search Awards) • Top B2B Companies (Clutch)
Magazine) • Great Place to Work Certified (Great Place to Work) These awards reflect the hard work, dedication, and passion of our entire team, and we’d love for you to be a part of it! Want to hear more? Here is our Founder, Manick on why you should work with us at Search Atlas To apply: Source #J-18808-Ljbffr
Requisitos
- We’re looking for someone who is technically excellent, people‑oriented, and proactive in leading by example
- 6+ years of experience with Python 3 and Django REST Framework
- Prior experience mentoring engineers or acting as a tech lead on a product team
- Proven experience designing, building, and maintaining production‑grade REST APIs
- Strong experience with Postgre
- SQL in production environments
- Strong testing discipline (pytest, coverage, Flake8, Black, Isort)
- Familiarity with Docker Compose and modern CI/CD pipelines
- Experience working with Sentry, Datadog, and Grafana for monitoring and observability
- Excellent communication skills, especially when working with cross‑functional teams
- We’re a tight‑knit team that supports each other and shares knowledge
- Excellence Driven
- Self‑Starter Mentality
Responsabilidades
- This role combines deep technical expertise with leadership and collaboration skills, you’ll be both a hands‑on engineer and a technical partner to the Product Manager and other key stakeholders
- You’ll act as the most senior backend engineer in the team, mentoring other developers, driving architectural decisions, and ensuring that our backend systems are performant, maintainable, and aligned with product goals
- Lead backend development for the product team, ensuring alignment with company‑wide engineering standards
- Translate product objectives into actionable technical plans and milestones
- Build and maintain scalable Django REST applications and well‑documented APIs
- Oversee efficient, fault‑tolerant background task processing with Celery
- Contribute to architecture design to improve scalability, maintainability, and performance
- Mentor and lead engineers through code reviews and promote a collaborative, high‑performing culture
- Partner with Product, QA, Dev Ops, and Frontend teams to deliver reliable end‑to‑end features
- Implement strong engineering practices including TDD, linting, and test coverage enforcement
- Monitor and optimize systems using Sentry, Datadog, and Grafana for observability and stability
- Identify and resolve performance bottlenecks across applications, databases, and task queues
- Experience with Celery or equivalent task queue systems
Benefícios
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