Backend Engineer, Data Centers

Develop and own scalable automation frameworks for vehicle software.

Build automated integration and end-to-end tests for SITL/HITL.

Boost AI agent productivity through infrastructure and tooling

Develop server integrations for AI agents

Architect core flight software to meet performance requirements

Integrate algorithms with the GNC team for ascent/descent

Define requirements, research vendors, and design/implement solutions

Drive standardized solutions across SpaceX

Design and implement high-speed CI/CD pipelines

Lead Python packaging and Conda environments

Design, develop, and maintain CI/CD pipelines

Collaborate with software developers and cloud engineers

Architect and scale a multi-tenant hybrid-cloud Kubernetes platform

Develop custom Kubernetes operators and self-service abstractions

Lead technical projects and manage deliverables effectively

Architect scalable systems linked to data science platforms

Build foundational platforms and tools for rapid, secure, and cost-effective service provisioning.

Exemplify cloud-native site reliability best practices.

Lead Frontend and Mobile Platform teams

Define client platform strategy across platforms

Lead and scale a TAM team for customer adoption and value realization

Develop scalable processes and playbooks for enterprise customers

Lead and manage Dev Tooling and SRE teams effectively

Improve communication and processes across teams

Develop front-end and back-end solutions with automated tests

Collaborate with product managers and engineers on high-impact projects

Lead platform reliability, security, and operational maturity

Design and manage Terraform-based GCP infrastructure

Lead and scale infrastructure and core platform domain

Enable AI-first delivery with LLM workloads and data pipelines

Setting and driving modern engineering standards

Providing hands-on technical leadership

Own end-to-end delivery for programs

Build program structures and roadmaps

Lead software teams towards production

Provide future-proof plans for engineers

Lead the reliability and security of a distributed platform on Google Cloud

Implement infrastructure as code and cloud architecture design

Architect and maintain cloud infrastructures

Lead containerization and orchestration with Docker and Kubernetes

Define long-term architecture for ML platform

Establish standards for code quality and testing

Design, deploy, and configure cloud services for migrations and AD

Implement security architectures for managed services offerings

Lead a Cloud Platform Engineering team

Architect scalable infrastructure on AWS

Collaborate with engineering to integrate security tooling

Automate security checks and feedback loops

Lead & support high-performing Infrastructure Platforms team.

Guide security, reliability, performance, and scalability of core platform components.

Design and manage Google Cloud infrastructure efficiently

Enhance security measures across network and application layers

Build and operate detection and response pipelines in the cloud environment

Implement controls to counter threats and enhance security measures

Build a high-performance cloud-native data platform

Create self-service data tooling for loading and testing

Lead QA strategy across Maximus applications

Build and manage a high-performing QA team

Design, develop, and maintain a secure and scalable backend on Drupal PHP

Ensure platform stability across high-traffic sites and portals

Lead QA strategy and team effectively

Design and implement automated testing solutions

Build and maintain Fever services

Focus on performance, reliability, scalability

Collaborate on backend services and Pubsubs

Partner with Product to track performance and artists' needs

Lead technical direction and improve platform stability.

Build scalable APIs and microservices.

Lead and mentor globally distributed SRE & Infra teams

Define and execute SRE/infrastructure strategy

Take ownership of the platform's reliability, security, and operational maturity

Define roadmaps, make architectural decisions, and build systems to keep the platform running smoothly

Develop and execute test plans for iOS app.

Collaborate with development team to identify issues.

Lead and support a high-performing team

Connect business goals with engineering

Build and run anomaly detection rules using Python

Secure GCP cloud networking and Kubernetes

Lead infrastructure design and maintenance for a distributed platform on Google Cloud

Ensure high performance, security, and scalability of the platform

Design and maintain infrastructure as code on GCP

Ensure reliability and observability of platform

Translate ideas into engineering solutions

Own end-to-end project delivery

Lead migration to Apex-based services

Design scalable systems with AI-driven workflows

Design and maintain cloud infrastructure with AWS/Azure/GCP

Automate provisioning using Terraform

Define architecture for large-scale lab automation systems

Lead architectural direction from concept to production

Design and build scalable data pipelines for clinical RWD

Implement Python/SQL ETL/ELT with AWS services

Lead technical architecture for GitLab projects

Guide and collaborate with customers

Design and build scalable backend systems and APIs

Enable audience creation, segmentation, and activation on Twilio's data platform

Design, develop, and maintain Ruby on Rails web apps.

Translate product requirements into scalable technical solutions.

Define technical strategy and roadmap

Design and build scalable infrastructure