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Open nowPosted 57 days ago

Software Engineer (Back End and Cloud) Role

Workable (global search)109,826 open roles

Where
Washington, DC, United States
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Your applicationOpen nowSoftware Engineer (Back End and Cloud) RoleWorkable (global search) · Washington, DC, United States

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 57 days ago

Workable (global search) median: 2 days open

The posting

The work

Software Engineers working on back-end and cloud systems build the services that enforce application behavior, connect systems, and move trusted work through production. They turn product and operational requirements into HTTP APIs, business logic, integrations, asynchronous workflows, and data-access components.

The work runs in containers, serverless functions, virtual machines, or managed cloud services. You design service boundaries and contracts, handle identity and authorization, validate inputs and dependencies, manage failure and retry behavior, and make the system observable through logs, metrics, and traces. You also test changes and automate delivery so the service can evolve without guesswork.

This role owns production service behavior, not just endpoint code. Back-end and cloud engineers work with front-end developers, data teams, security, quality engineering, and platform or DevSecOps teams to balance reliability, security, performance, maintainability, and cost.

What you'll build

· Secure HTTP APIs, service contracts, event handlers, and integration adapters.

· Back-end services in Python, Java, C#, JavaScript, TypeScript, Go, or comparable languages.

· Containerized, serverless, event-driven, and asynchronous cloud workloads.

· Authentication, authorization, validation, error handling, audit events, and dependency controls.

· Automated tests, delivery pipelines, operational dashboards, traces, alerts, and runbooks.

Who you are

You like making distributed behavior understandable. You can move quickly when learning or prototyping, then add the contracts, tests, controls, and operational evidence required for a production service.

You think beyond the happy path. You ask what happens when a dependency slows down, a message is delivered twice, an authorization check is missed, or a deployment needs to roll back. You communicate those tradeoffs clearly and share ownership across team boundaries.

What you bring

· Strong software engineering experience in at least one back-end language and a modern web or service framework.

· Experience designing, implementing, documenting, testing, and versioning HTTP APIs or event-driven interfaces.

· Working knowledge of relational data, transactions, identity, authorization, secrets, validation, and secure dependency use.

· Cloud experience with containers, serverless workloads, messaging, managed services, and automated delivery.

· Ability to diagnose production behavior with logs, metrics, traces, tests, and clearly defined service expectations.

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OPEN Data Jobs connects AI, data, and software professionals with critical roles, primarily in the federal sector. Registering with ODJ can put your profile in view for multiple positions across several clients.

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Requirements

What openings may require

An opening may specify Python and FastAPI, Java and Spring, C# and .NET, Node.js, a cloud provider, container orchestration, infrastructure as code, or a particular identity and messaging stack. Some roles may emphasize Representational State Transfer (REST), OpenAPI descriptions, event processing, high-volume integrations, or systems with demanding audit and availability needs.

An AI-enabled opening may involve calling model APIs, serving retrieval-augmented generation workflows, exposing approved tools, recording citations or feedback, and adding latency, cost, safety, and quality signals to observability. The back-end engineer owns the secure and reliable application service around the model, while AI engineers own model behavior, evaluation, and AI-specific safeguards.

Benefits

Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening

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