Senior Platform Engineer – Data Platform

Rockstar

Senior Backend Engineer at an innovative data platform company focusing on identity and security. Designing backend services and contributing to graph database systems for reliability and performance.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend service development, focusing on identity, access control, and security systems. Proficient in Go and Python, with a strong understanding of distributed systems and performance optimization.

Highest-signal resume keywords

Backend Service DevelopmentProficiency In GoProficiency In PythonIdentity And Access Control SystemsGraph Databases

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringSoftware EngineeringDistributed SystemsPerformance OptimizationSecurity ArchitectureData Access PatternsPermissions ModelsAuthenticationAuthorizationContent Sharing Capabilities

Soft Skills

Excellent CommunicationCollaboration Skills

Tools & Technologies

DgraphData Studio

Industry Keywords

Computer ScienceEngineeringU.S. CitizenshipPermanent Resident

Tech Stack

Tools & technologies

Distributed SystemsGoPython

About the role

Key responsibilities & impact

Design, build, and maintain backend services for user controls, identity, and security across the platform.
Develop and strengthen secure content sharing capabilities, ensuring the right users have access to the right data under the appropriate conditions.
Contribute to Data Studio and related tools that expose platform data to internal and external users.
Work on Dgraph internals when needed while building services and applications on top of Dgraph.
Partner with platform, infrastructure, and integrations teams to maintain consistent identity and security primitives across the ecosystem.
Drive technical decisions around data access patterns, permissions models, and secure sharing architecture.
Write high-quality, well-tested code in Go and Python with a focus on reliability, security, and performance.
Participate in architecture discussions, design reviews, and technical planning for the data platform.

Requirements

What you’ll need

8+ years of professional software engineering experience, with significant experience in backend or platform engineering.
Strong proficiency in Go and Python.
Experience building identity, access control, permissions, authentication, authorization, or other security-focused systems.
Comfortable working across the full stack, with a strong preference and expertise in backend services.
Experience with graph databases (Dgraph or similar) is highly preferred.
Interest in contributing to database internals is a plus.
Strong understanding of distributed systems, reliability, security, and performance optimization.
Excellent communication and collaboration skills with cross-functional engineering teams.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Must be a U.S. citizen or permanent resident residing within the United States.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Rockstar Website LinkedIn All Job Openings 1 - 10 employees 🎯 Recruiter 👥 HR Tech 🤖 Artificial Intelligence Recruitment
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Artificial Intelligence Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes. Senior Platform Engineer – Data Platform Job not on LinkedIn 🔥 28 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🏗️ Platform Engineer 🦅 H1B Visa Sponsor Distributed Systems Python Go Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and maintain backend services for user controls, identity, and security across the platform.
Develop and strengthen secure content sharing capabilities, ensuring the right users have access to the right data under the appropriate conditions.
Contribute to Data Studio and related tools that expose platform data to internal and external users.
Work on Dgraph internals when needed while building services and applications on top of Dgraph.
Partner with platform, infrastructure, and integrations teams to maintain consistent identity and security primitives across the ecosystem.
Drive technical decisions around data access patterns, permissions models, and secure sharing architecture.
Write high-quality, well-tested code in Go and Python with a focus on reliability, security, and performance.
Participate in architecture discussions, design reviews, and technical planning for the data platform. 🎯 Requirements
8+ years of professional software engineering experience, with significant experience in backend or platform engineering.
Strong proficiency in Go and Python.
Experience building identity, access control, permissions, authentication, authorization, or other security-focused systems.
Comfortable working across the full stack, with a strong preference and expertise in backend services.
Experience with graph databases (Dgraph or similar) is highly preferred.
Interest in contributing to database internals is a plus.
Strong understanding of distributed systems, reliability, security, and performance optimization.
Excellent communication and collaboration skills with cross-functional engineering teams.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
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