Back-End Engineer - Geospatial Platforms
EDGE Group is hiring a Back-End Engineer - Geospatial Platforms. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Python, FastAPI and Flask among its tools and skills.
- Level classes it as a senior role.
- EDGE Group has 213 other open roles on Level.
AI in this role
Back-End Engineer to design, build, and operate server-side foundations using Python and cloud-native architectures.
External Job Description
About the Opportunity
FADA is seeking a highly skilled Backend Developer to design, build, and operate the server-side foundation of a next-generation platform. This role is responsible for delivering reliable, scalable, and secure backend services that power applications, integrations, and mission-critical workflows.
The ideal candidate has strong expertise in Python backend development, API design, database engineering, cloud-native architectures, and DevOps practices, with experience building production-grade systems from development through deployment and optimization.
Key Responsibilities
- Develop and maintain backend services and microservices using Python frameworks such as FastAPI, Flask, or Django.
- Design, build, and support REST and GraphQL APIs with strong documentation, versioning, and security practices.
- Design and optimize relational and NoSQL databases, including schema design, indexing, and performance tuning.
- Build scalable cloud-native applications using microservices, event-driven architectures, containers, and messaging systems.
- Implement authentication, authorization, and secure access controls.
- Develop and maintain CI/CD pipelines, Infrastructure-as-Code, container orchestration, and monitoring solutions.
- Integrate third-party systems, APIs, and data feeds while ensuring reliability and scalability.
- Design and support data ingestion and processing pipelines.
- Collaborate with front-end developers, data scientists, and product teams to deliver end-to-end solutions.
- Implement automated testing, code quality standards, and secure development practices.
- Troubleshoot performance, scalability, security, and integration issues across environments.
- Contribute to engineering standards, documentation, and architecture best practices.
Education & Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of experience developing production backend applications and services.
- Strong expertise in Python, including FastAPI, Flask, or Django.
- Experience designing and developing REST and GraphQL APIs.
- Strong knowledge of PostgreSQL and/or MySQL, including database design and optimization.
- Experience with MongoDB, Redis, Elasticsearch/OpenSearch, or similar technologies.
- Hands-on experience with Docker, Kubernetes, microservices, and cloud-native architectures.
- Experience with AWS, Azure, or GCP services.
- Familiarity with Kafka, RabbitMQ, SQS/SNS, or other messaging platforms.
- Strong testing, CI/CD, Git, Linux, and collaborative development experience.
Preferred Skills
- Experience designing large-scale microservice and distributed system architectures.
- Advanced Python development, asynchronous programming, and high-volume data processing.
- Knowledge of SQLAlchemy, Django ORM, Pydantic, or related data-access frameworks.
- Experience with Go, Node.js, or Java environments.
- Familiarity with API gateways, service mesh technologies, and reverse proxies.
- Experience with Airflow, Prefect, Dagster, or other workflow orchestration tools.
- Strong understanding of caching, performance optimization, and observability platforms.
- Experience with Terraform, Pulumi, Helm, GitHub Actions, GitLab CI, or ArgoCD.
- Knowledge of backend security best practices, secrets management, and secure SDLC.
- Experience with serverless architectures and cloud-native event-driven systems.
- Ability to mentor team members and contribute to architecture and engineering governance.
How we rate this
Back-End Engineer - Geospatial Platforms at EDGE Group rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where backend development was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Tell me about a project where database engineering was part of your work. What did you do?
- Tell me about a project where cloud native was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Backend Development, Python, API Design, Database Engineering, and Cloud Native. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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