• Develop inter-cloud connectivity solutions for enterprise customers. • Build a control plane for Sourcegraph Cloud instances. • Expose complex infrastructure as API for internal customers. • Debug and patch upstream dependencies to solve complex problems. • Advocate for building reliable services and achieve operational excellence. • Participate in on-call rotation to uphold SLA commitments.

About Radar Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams. Why is Radar the best place to work? - We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500. - We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices. - We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners. - We have a high-performance culture, with ambitious and entrepreneurial teammates in every role. - We recently moved into an amazing new office in Flatiron, Manhattan, NYC. - We were recently named a top 10 best place to work in NYC by Crain's. Despite our growth and scale, we're still just getting started. That's where you come in. About the role: We're looking for Platform Engineers to help us build and operate Radar’s infrastructure, developer platform, and data systems in order to make Radar the most reliable and trusted location platform in the world. Our daily traffic is 1 Billion API calls / day (15,000 requests / second), so you will be operating at scale in helping our engineers deliver features quickly and at high quality. This role can either be in our NYC HQ or remote in the US. How we work: Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part. We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. To us, a week is a long time, and we expect to ship big things every week. The stack: - The API layer is a Node.js + TypeScript app. - We ship SDKs for iOS, Android, React Native, and more. - Our main backend service is a geospatial database written in Rust that we call HorizonDB. - We use MongoDB, S3/Athena, Redis, and Airflow. - Everything is deployed to AWS via Kubernetes on EKS using Terraform . - Most engineers are in the on-call rotation. - We sponsor OpenStreetMaps, MapLibre, and OpenAddresses. How we use AI: - Engineers choose what AI tools they use, Claude and Codex being the most popular. - We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database. - All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs. - There is a range of how much engineers use AI. Most use it daily if not weekly. - We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards. The hiring process: After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match. What you’ll do: - Work on core Radar products using TypeScript, Rust, Python and Scala - Build highly available systems with 99.99%+ monthly uptime - Work with SRE and data teams to enable self-serve capabilities, including build/test/deploy infrastructure, observability improvements, data pipeline investments, and automation. - Build and support core product capabilities like IAM, feature flagging, application rate limiting, and more. - Own internal development platform, including supporting our server, frontend, mobile, and desktop frameworks, and integrating safe AI-enabled development practices throughout our SDLC. - With QA, enable test automation and coverage for developers throughout our application, data, and infrastructure stack. - Help integrate security and compliance practices into every stage of the development lifecycle, from design to deployment. - Have your work power 1 Billion API calls / day - Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: - Think of yourself as a generalist engineer first, not tied to any particular stack - Are interested in talking to customers or prospects and making them successful - Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them Bonus points if you: - Are a former technical co-founder - Have worked on a high throughput, high growth SaaS application - Have worked on geospatial infrastructure You’ll work with: - Tim Julien, CTO - Leo Kim, VP Platform - Our customers and prospects - Our Customer Success, Sales Engineering, and Sales teams What we offer: - Competitive salary - Meaningful stock options in a fast-growing company - 401(k) plan with 4% match - New HQ in Flatiron, NYC - Top-notch equipment - Catered lunches - Unlimited PTO - Health, dental, and vision insurance with 100% coverage for employees - 12 weeks of paid parental leave - Commuter and fitness benefits Compensation: For candidates based in the United States, the base salary range for this full-time position is between $200,000 - $300,000/year with an opportunity for performance bonuses and incentives. In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company. Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

• Design and build the next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times • Develop and maintain Vultr’s bare metal automation and management toolkit • Implement automated firmware update workflows across the bare metal fleet using IPMI/BMC protocols • Build and optimize kexec-based fast boot and provisioning flows to minimize deployment latency • Integrate cloud-init and instance metadata service for bare metal, enabling consistent configuration across VM and BM products • Develop Puppet and Ansible modules for bare metal server configuration and lifecycle management • Architect and implement VPC networking for bare metal instances, including network attach and routing automation • Collaborate with the Provisioning and Orchestration teams to unify OS image pipelines and ensure bare metal integrates cleanly with Vultr’s reservation and assignment systems

Role Description As a Principal Platform Engineer, you will design, build, and support the core platform infrastructure that enables secure, observable, and reliable AI-enabled engineering workflows. You will partner closely with engineering teams to connect LLM platforms, internal systems, APIs, and developer tools into a scalable control plane. - Design and implement platform integrations across MCP, API gateways, LLM services, Azure infrastructure, and containerized environments. - Build the wiring between AI platforms, internal applications, Azure DevOps, GitHub, and supporting engineering workflows. - Develop control plane capabilities that support audit logging, human-in-the-loop approval gates, kill-switch functionality, output validation, and safe production usage. - Create and maintain evaluation harnesses to test, measure, and validate LLM-driven outputs before they are promoted into broader workflows. - Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows. - Build observability dashboards and monitoring capabilities that give engineering and leadership teams visibility into platform health, usage, performance, and risk signals. - Partner with application, DevOps, security, and architecture teams to ensure platform components are reliable, scalable, secure, and aligned to enterprise standards. - Troubleshoot complex platform, integration, and deployment issues across Azure, containerized services, API layers, and AI platform components. - Provide technical leadership by helping define patterns, guardrails, and best practices for building and operating AI-enabled platform capabilities. Qualifications - Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client. - Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role. - Commitment to understanding and exceeding client expectations. - Ability to perform project oversight and execution of deliverables. - Flexibility to adapt within a high-growth organization. - Ability to lead, mentor and motivate those around them. - Hunger for continuous learning and professional development. - Intellectual curiosity to provide creative solutions. - Full understanding of the software development life cycle. - Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc. - Desire to work in a team environment. - Good interpersonal, written and verbal communication skills. Requirements Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in. Benefits - Opportunity to work alongside a talented, diverse team in a collaborative and creative environment. - Ongoing investment in your growth through training, mentorship, and industry certifications. - Hands-on exposure to cutting-edge technologies across multiple industries. - Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program. - Remote or hybrid work options. Equal Employment Opportunity Policy Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com .