100% REMOTE - Staff Backend Engineer (Python, TypeScript/Node.js, Go, React) - Full Time

100% REMOTE - Staff Backend Engineer (Python, TypeScript/Node.js, Go, React) - Full Time

Job Title: Staff Backend Engineer (Python, TypeScript/Node.js, Go, React)

Location: 100% REMOTE, Houston, TX

Duration: Permanent (Full Time)

Interview process: Video

LinkedIn: Required (Must be created before 2020 or older)

Job Description-:

Client is looking for the best of the best in a backend engineer and they are willing to pay in line with large companies for the right person. Small company that is scaling but in excellent financial shape. Candidates must have experience working with complex, data-heavy backends.

Critical Job Criteria

The position is backend focused but some UI experience is definitely a plus

However, the emphasis should still be on pure backend as many "full-stack" candidates won't have level of backend experience they are looking for

Looking for someone who is a strong programmer and wants to code. While leadership is a good characteristic they are not in a stage where they need a lot of management or leads. The role will mostly be designing and implementing features with high autonomy and ambiguity.

Candidate should have a solid track record of delivering big features

Candidate needs to be a good communicator.

Candidates must have something notable about their resume/background and stand out in some fashion in order to move forward. This is not simply working with backend systems (which most programmers do) but actually developing and implementing complex systems.

Experience at top tech companies with a decent longevity (> 2 years)

Education from top university in computer science or related field

Why this role matters

Join a fast-growing, product-focused company as a senior contributor helping to build the infrastructure behind large-scale, high-performance data systems. You'll work on complex backend platforms that process billions of rows of data, surface meaningful insights, and power decision-making for customers.

This is a high-impact, high-ownership role where you'll contribute to architecture, implementation, and strategy on a modern backend stack with lots of room to innovate.

What you'll do

Design and deliver scalable backend services that process and model large datasets efficiently and reliably

Build extensible internal platforms and tooling (e.g. APIs, data services, internal developer tools)

Own full systems end-to-end, from concept to architecture to deployment

Lead key technical initiatives, improving performance, accuracy, and cost-efficiency

Occasionally contribute to frontend layers to ship full product features

Work cross-functionally with product, sales, and customer teams to understand needs and deliver technical solutions

Apply statistical thinking and experimentation to platform decisions (experience with ML or modeling is a plus)

Sample projects

Optimization engines that act on real-time and historical performance signals

Data pipelines and deployment infrastructure for statistical and ML models

Scalable systems for querying and enriching data graphs across billions of rows

Integration of multiple data sources into unified, production-grade models

AI-driven internal tooling that simplifies workflows and delivers actionable insights

Tech stack and environment

Languages: Python, TypeScript/Node.js, Go, React (language choice is flexible based on experience)

Cloud: AWS (extensive usage; prior experience helpful but not required)

Databases: ClickHouse, PostgreSQL, Redis, DynamoDB

Architecture: Data pipelines, event-driven systems, internal platforms and developer tooling

Bonus:

exposure to statistical modeling, ML pipelines, or AWS services

Why this team

Your work will directly shape how customers interpret and act on high-volume data

You'll be part of a lean team with strong ownership and a bias for action

You'll contribute to modern, outcome-driven engineering with measurable impact

You'll have the space to prototype, test, and scale ideas into full systems

Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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Dice Id:

91162956

Position Id:

2025-12907

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