Rockstar Logo

Rockstar

Senior Platform Engineer - Data Platform

Reposted 2 Months Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Build and scale backend services for identity, access control, secure content sharing, and data access. Contribute to Dgraph internals, collaborate with platform and infrastructure teams, drive architecture and permissions models, and write high-quality Go and Python code focused on reliability, security, and performance.
The summary above was generated by AI

Rockstar is recruiting for an innovative data platform company that builds secure, scalable systems for identity, access control, and data management. Their team of experienced backend engineers works on cutting-edge graph database technology, focusing on reliability, security, and performance.

Position Overview

They are seeking a Senior Backend Engineer to build and scale the core services that power user controls, identity, security, secure content sharing, resource management, and data access across their platform. This role combines backend service development with contributions to Dgraph internals, making it an excellent opportunity for engineers who enjoy solving complex distributed systems and security challenges. The ideal candidate is comfortable working across the stack but has deep expertise in backend engineering, with strong proficiency in Go and Python.

Key Responsibilities
  • 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.
Qualifications
  • 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.

Similar Jobs

16 Days Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.
Top Skills: Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform
Yesterday
In-Office or Remote
2 Locations
149K-282K Annually
Senior level
149K-282K Annually
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
Lead the technical direction and development of scalable batch and streaming data pipelines and products. Establish data quality, observability, freshness, recovery, governance, and cost standards; investigate production incidents; and build trusted data context layers with lineage, metric semantics, ownership, and governed access. Apply AI-assisted workflows to pipeline development, validation, and troubleshooting while mentoring engineers and influencing architecture across teams.
Top Skills: Apache AirflowSparkAws GlueCi/CdPostgresPythonSnowflakeSQL
6 Days Ago
Remote
United States
Senior level
Senior level
Fitness
Own PushPress’s data platform, including ingestion, orchestration, cloud warehouse performance, governance, privacy, data quality, monitoring, and AI-ready data foundations. Build reliable pipelines integrating product, payment, and third-party data; establish data contracts, access controls, auditability, and semantic definitions; support real-time analytics and trustworthy reporting. Partner with Engineering, Data, and AI teams while maintaining infrastructure, incident response, documentation, and operational runbooks.
Top Skills: Ai AgentsAirflowCcpaCdcCi/CdClickhouseDagsterElementaryEvent-Driven ArchitecturesFivetranGdprHevoMonte CarloPciPosthogPythonRbacRetrieval-Augmented GenerationRudderstackSegmentSemantic LayersSnowplowSQLStreamingTerraformTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account