
Backend Engineering Lead
5 days ago
We are seeking an experienced Backend Engineering Lead to spearhead the development of our backend systems and APIs. The ideal candidate will have a strong foundation in software engineering principles, with expertise in designing, developing, and maintaining robust backend systems.
The successful candidate will collaborate closely with cross-functional teams to ensure seamless API integrations, reliable infrastructure, and efficient workflows that support innovative software solutions.
- Key Responsibilities:
- Design, develop, and maintain scalable, high-performance backend systems and APIs.
- Develop and manage public-facing APIs, ensuring secure, reliable, and efficient access.
- Build and maintain CI/CD pipelines to support continuous integration and deployment.
- Implement observability practices using tools such as Datadog, New Relic, or similar.
- Collaborate with frontend developers, product teams, and stakeholders to align backend architecture with product needs.
- Work with PostgreSQL and PostGIS for advanced SQL and geospatial data management.
- Develop and deploy solutions within AWS environments (API Gateway, Lambda, Serverless Stack).
- Support microservices-based architectures and event-driven workflows (e.g., webhooks).
- Evaluate and improve system performance and reliability.
- 7 years of backend software development experience, including building public-facing API products.
- Strong programming skills in Python, with expertise in frameworks such as Flask or FastAPI.
- Highly proficient in SQL and PostgreSQL, with experience in geospatial extensions such as PostGIS.
- Solid understanding of full-stack technologies required to build and run APIs.
- Skilled in RESTful API design and management, ensuring scalability and performance.
- Hands-on experience working with AWS services, including API Gateway, Lambda, and the Serverless Stack.
- Familiar with microservices architecture and event-driven technologies such as webhooks.
- Experience integrating spatial mapping libraries like Mapbox or working with GIS concepts relevant to utility networks.
- Production-level experience with observability tools such as Datadog or New Relic.
- Strong grasp of CI/CD methodologies and ability to build and maintain pipelines effectively.
- Experienced in working with agile development methodologies.
- Familiarity with geospatial data formats such as GeoJSON, shapefiles, or KMZ.
- Understanding of telecom or utility network planning and deployment workflows.
- Experience with frontend frameworks such as React, Vue, or Angular (a plus).
- Familiarity with Figma or other UI/UX prototyping tools.
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