Lead architecture, scalability, and reliability for the Integrations Platform across SDKs, agents, job pipelines, and developer tooling. Drive platform roadmap, observability, workflow orchestration, AI-enabled integration authoring, and cross-functional initiatives while mentoring engineers and collaborating with product and customer teams.
Rockstar is recruiting for a mobile-first digital product studio that turns ideas into extraordinary experiences. They are a team of dynamic and savvy professionals who know how to create killer digital products. Their lean structure and remote team allow them to move quickly while consistently delivering exceptional technology and design.
OverviewThe company is seeking a Senior Platform Engineer to join their Integrations Platform team. This role is responsible for the architecture, scalability, and reliability of the systems powering integrations, agents, and workflows across the platform.
The engineer will work across the full stack, including SDKs, developer tooling, backend services, and distributed agents, while setting the technical direction for a rapidly evolving platform. This is a high-autonomy opportunity for someone who has built and scaled developer-facing platforms and wants to influence both technical architecture and engineering culture.
Key Responsibilities- Own the end-to-end architecture for the Integrations Platform, including SDKs, agents, job pipelines, and related services, while defining the technical roadmap.
- Drive the evolution of the integration authoring experience, including AI-enabled workflows that improve how integrations are built and maintained.
- Define and enforce reliability, scalability, and observability standards across the agent ecosystem and integration lifecycle.
- Build developer tooling, packages, and libraries that reduce friction and accelerate integration development and adoption.
- Partner with Product, Platform, and Customer Success teams to translate customer needs into platform capabilities.
- Provide technical leadership and mentorship through architecture decisions, design reviews, and hands-on engineering guidance.
- Lead cross-functional initiatives involving workflow orchestration, service scaling, and job orchestration.
- Evaluate and introduce emerging technologies and frameworks related to integration authoring, automation, and platform capabilities.
- 7+ years of professional software engineering experience, including significant experience designing and scaling distributed systems, developer platforms, or integration frameworks.
- Proven experience owning platform architecture end-to-end and making long-term architectural decisions.
- Strong coding skills across backend services, SDKs, developer tooling, and agent-based systems.
- Deep expertise in workflow orchestration, job pipelines, and large-scale automation.
- Hands-on experience with AI-assisted development or agentic workflow systems.
- Strong understanding of system reliability, security, and performance optimization for developer-facing platforms.
- Demonstrated technical leadership and mentorship experience, including growing engineers and shaping engineering practices.
- Excellent communication skills with the ability to influence both technical and strategic decisions across 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
Aerospace • Software • Agriculture
Lead design and delivery of integrations platform features (SDKs, agents, pipelines). Improve integration authoring, reliability, scalability, observability, and developer tooling. Partner across product and customer teams, mentor engineers, and evaluate emerging technologies to scale integration development and agent-based workflows.
Top Skills:
Actor SystemsAgent-Based SystemsAgentic Workflow SystemsAi-Assisted DevelopmentC#Dag-Based SchedulersEvent-Driven PipelinesGoJavaLinuxmacOSObservabilityPackagingPythonQueue-Based Task WorkersReactSdksServices/DaemonsTypescriptWindows
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Deploy, support, and sustain Hivemind autonomy products in field environments. Install/configure software, troubleshoot systems, capture evidence, produce runbooks and knowledge-base content, train customers, drive issues to resolution, and partner with engineering and program teams to ensure mission-ready operations.
Top Skills:
BashC++Configuration ManagementDiagnostic ToolingEmbedded SystemsHivemind (Autonomy Software)LinuxNetworkingPythonRelease ManagementSensors / PayloadsTelemetryUav / Unmanned Systems
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead end-to-end revenue accounting under ASC 606, including contract review, revenue recognition, monthly close, reconciliations, order-to-cash process design, controls, audit support, and team mentoring. Partner cross-functionally to scale systems, automate workflows, and ensure accurate, timely revenue reporting across domestic and international contracts.
Top Skills:
Billing SystemsCRMErpOrder-To-Cash SystemsSalesforce
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
