Mid-Level Backend Software Engineer (L2/L3)

Atlas Data Science; United States; À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k) matching

Unlimited PTO

Remote-friendly

Résumé du poste

Atlas Data Science is seeking a Software Engineer to design and deliver a central metadata hub for scalable data management. You will build production backend services in Python, integrate REST APIs, and work across relational databases, microservices, and cloud resources.

You will implement infrastructure as code with Terraform, collaborate with DevOps on CI/CD, and contribute to data pipelines for AI/ML workloads. A strong emphasis on reliability and scalable design pervades the role.

Qualifications

• Production backend services experience with Python.
• REST APIs and backend service development.
• Knowledge of containerized environments (Docker).
• Relational databases and data modeling (PostgreSQL/Oracle/MySQL).
• Secure API design and secret handling.
• Troubleshooting distributed services via logs/metrics.
• Strong communication and teamwork in Agile settings.
• Ability to decompose features and drive to completion.
• Experience with Airflow or similar orchestration tools.
• Git-based workflows and CI/CD (GitLab preferred).
• Experience with OpenSearch or search engines is a plus.

Responsabilités

• Design, build, and maintain data service pipelines for metadata.
• Integrate structured data from relational databases into pipelines.
• Optimize pipelines for performance and scale.
• Develop backend services using Java, Node.js, and Python.
• Implement IaC with Terraform for platform resources.
• Collaborate with DevOps to integrate CI/CD workflows.
• Write unit/integration/system tests to ensure quality.
• Support AI/ML initiatives with metadata pipelines.
• Keep up with evolving data lake/lakehouse tech and data brokerage trends.

Connaissances

Backend services development

Python

REST APIs

Docker

SQL databases

PostgreSQL

Oracle

MySQL

Authentication & secrets

Observability & metrics

Agile

Distributed systems

Asynchronous workflows

Airflow

CI/CD (GitLab)

Kubernetes

OpenSearch

Git versioning

Outils

Docker

PostgreSQL

Oracle

MySQL

OpenSearch

Airflow

Kubernetes

GitLab

Terraform

Description du poste

Summary

As organizations accelerate their adoption of Agentic AI capabilities, the demand for robust data management and governance solutions is becoming increasingly critical. Atlas Data Science is seeking an L2/L3 Software Engineer to help build a central metadata hub that streamlines discovery, access, use, and sharing of diverse data types across an expanding ecosystem of suppliers and consumers. By orchestrating the full data lifecycle—from receipt to metadata capture and enrichment to discovery and dissemination—we aim to deliver a new-to-market data management and governance product that is foundational to enable agentic at scale.

Duties and Responsibilities

We are seeking a talented and motivated Software Engineer to join our dynamic and growing team. You will work alongside experienced engineers, leveraging a modern technology stack that includes TypeScript, Python, Java, Postgres, OpenSearch, Kubernetes, Airflow, Terraform, and GitLab. You will contribute to the development, testing, and productization of solution components integrating relational databases, microservices, cloud services, and containerized applications.

What You’ll Do

• Design, develop, and maintain data service metadata capture, transformation, and delivery pipelines.
• Integrate structured data from relational databases (Oracle, PostgreSQL, MySQL, etc.) into pipelines.
• Optimize and troubleshoot pipelines for performance, reliability, and scalability.
• Contribute to backend service development using Java, Node.js, and Python.
• Implement infrastructure as code using Terraform to provision and manage platform resources.
• Collaborate with DevOps to integrate pipelines into CI/CD workflows using GitLab.
• Write unit, integration, and system tests to ensure code quality and functionality.
• Support AI/ML initiatives by building and optimizing metadata pipelines for LLM training and data processing.
• Stay current with emerging technologies, development best practices, modern data lake/lakehouse frameworks, and evolving approaches in data brokerage services.

Who We’re Looking For

We have noticed a pattern in the people who do well at Atlas, and it is less about a specific resume line than a shared set of qualities. Some of them are ex-founders who have already lived through building something without a playbook, and they know what it feels like when the only person accountable for a problem is you. Others come from the military, where they learned to make real decisions with incomplete information in a highstakes environment. A good number spent a few years in professional services, places that are excellent at teaching you how to structure an ambiguous problem quickly, and they left because they wanted to build the answer instead of presenting it in a deck. What unites them is not where they have worked, but how quickly they learn, grow, and turn ideas into results. We care more about how fast someone is improving and how much they have accomplished than about a polished pedigree that has not yet been tested against speed and real ownership. If you have already broken out of a highly structured environment to go build something that matters, you will likely feel at home here.

• Proficiency developing production backend services using Python.
• Experience developing and integrating REST APIs and backend services.
• Understanding of Docker and deploying services in containerized environments.
• Experience with SQL, relational databases, and data modeling using platforms such as PostgreSQL, Oracle, or MySQL.
• Knowledge of authentication, authorization, secure API design, and secrets handling.
• Experience troubleshooting distributed services using logs and operational metrics.
• Strong communication, problem-solving, and collaborative development skills.
• Ability to work collaboratively in a team-oriented Agile environment.
• Experience diagnosing and improving backend performance, reliability, and scalability.
• Experience designing reliable asynchronous workflows, including retries, idempotency, timeouts, and failure handling.
• Experience with Airflow, Step Functions, Argo, or another orchestration platform.
• Experience with Git-based source control, code review, and CI/CD workflows; GitLab experience is preferred.
• Ability to decompose complex features into smaller deliverables and drive them from design through completion.
• Clear written and verbal communication skills

Bonus Points

• Experience with AI assisted development.
• Experience with OpenSearch or another search engine.
• Familiarity with policy engines such as OPA and authorization models such as RBAC or ABAC.
• Familiarity with OpenMetadata, DataHub, or another metadata-management platform.
• Experience or interest in modern data lake/lakehouse technologies (Apache Iceberg, Spark, etc.).
• Experience implementing semantic or hybrid search using embeddings, vector indexes, metadata filtering, and relevance ranking.
• Experience building LLM-powered workflows, including Retrieval-Augmented Generation, structured outputs, tool integration, evaluation, and production monitoring.

Why Atlas

Meaningful work

Our platform powers decisions that matter, from federal government to financial institutions to healthcare systems.

Benefits that make a difference.

We pay competitively and back it up with equity, because we want you to have a real stake in what we build together. Beyond salary, here’s what you can expect while working at Atlas:

• Healthcare coverage for you and your dependents, where Atlas pays 90% of the median plan cost.
• 401(k) matching at 100% up to 6% of your contribution.
• Unlimited PTO to take time off to recharge.
• A remote work environment, so you can do your best work from wherever that happens to be.

Room to grow. Early-stage company with the backing and momentum to scale—your impact here is real.