About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Role Overview

Confidential Client is seeking a product-minded Software Engineer to join a small but growing Product Experiences team. You will build the features customers use every day across a large data platform — driving Search, Dossier views, Charts, Dashboards, Maps, Network, Table, Workspace, Docs, Automations, and Mobile experiences. This role requires strong frontend fundamentals, full‑stack comfort, and a passion for shipping polished, reliable user experiences.

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What You’ll Do

• Own design and implementation of major, user-facing features end-to-end.
• Collaborate closely with design, product, deployment teams, and end users to translate product goals into reliable software.
• Build performant interfaces for search and semantic discovery across massive datasets.
• Design Dossier and entity views that assemble critical context on demand.
• Implement real-time, collaborative experiences for maps and networks.
• Integrate AI-powered capabilities with clear source transparency and user trust.
• Prioritize latency, resilience, accessibility, and interaction details that make complex workflows feel effortless.
• Write well-tested, maintainable code and participate in code reviews and system design discussions.

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Required Qualifications

• 2+ years professional experience working on cross-functional software teams.
• Degree in Computer Science or related field, or equivalent experience.
• Strong frontend fundamentals with React and TypeScript.
• Experience shipping production-grade, user-facing software and iterating on it.
• Comfortable working full-stack (front + backend) to deliver features end-to-end.
• Ability to write robust, well-tested code and navigate large codebases.
• Solid understanding of architecting and scaling distributed systems.
• Product-focused mindset with attention to interaction design and user experience.
• Located in Washington, D.C. and able to work in-office (this listing is for Washington, D.C. — local presence required).

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Preferred / Nice to Have

• Experience with Mapbox, complex visualizations, or geospatial workflows.
• Familiarity with search technologies such as Elasticsearch.
• Backend experience with Python and Django or similar frameworks.
• Exposure to data pipelines and orchestration (Celery, Airflow, Kafka).
• Experience integrating ML/AI features and working with model-hosting platforms.

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Technology Stack (what you’ll likely use)

• Frontend: React, Redux, TypeScript, Mapbox
• Backend: Python, Django, Celery
• Data & Search: PostgreSQL, Elasticsearch
• ML infra: Sagemaker, Bedrock (model hosting)
• Infrastructure: AWS, Kubernetes, Terraform, Pulumi

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Compensation & Benefits

• Salary Range: $160,000 - $220,000 annually
• Benefits, equity, and bonus (if applicable) included as part of total compensation package.
• Actual pay depends on skills, experience, and specific work location. Local hiring laws and transparency requirements are respected.

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Location & Work Requirements

• This posting is for Washington, D.C.; candidates must be located in, or willing to work from, the Washington, D.C. office.
• Must be authorized to work in the U.S. — Confidential Client cannot sponsor at this time (confirm during application).

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Why Join

• High-impact work that turns large, siloed datasets into actionable intelligence for public safety and enterprise users.
• Ownership over visible, widely used product surfaces.
• Collaborative environment that values empathy, craftsmanship, and iteration.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.