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data engineer- infrastructure Jobs in New York

data engineer- infrastructure

backend engineer

Kontrora

<h3>About the role</h3>We are seeking a dedicated Backend Engineer to join our remote team on a part-time basis. In this role, you will be instrumental in developing, enhancing, and maintaining backend systems that support our core applications. You will collaborate with cross-functional teams to deliver robust solutions that meet the needs of our users.<h3>Key responsibilities</h3><ul><li>Design, develop, and maintain scalable backend services and APIs to support application functionality.</li><li>Collaborate with frontend engineers and product managers to create seamless integrations between the backend and user interfaces.</li><li>Participate in code reviews and contribute to team best practices, ensuring high-quality and maintainable code.</li><li>Troubleshoot and resolve performance issues, bugs, and other technical challenges in a timely manner.</li><li>Write and maintain comprehensive documentation for backend services, APIs, and system architecture.</li><li>Continuously learn and apply best practices in software development, including testing, version control, and deployment processes.</li></ul><h3>Requirements</h3><ul><li>Proficiency in at least one modern programming language such as Python, Java, Node.js, or Ruby.</li><li>Familiarity with web frameworks and RESTful API design principles.</li><li>Understanding of database management systems, both SQL and NoSQL, and their application in backend architectures.</li><li>Basic knowledge of cloud services and platforms (e.g., AWS, Google Cloud, Azure) as they relate to backend development.</li><li>Strong problem-solving skills and the ability to work independently in a remote work environment.</li><li>Effective communication skills to collaborate with team members and stakeholders.</li></ul><h3>Nice to have</h3><ul><li>Experience with Agile development methodologies and version control systems, particularly Git.</li><li>Exposure to microservices architecture and containerization technologies like Docker.</li><li>Familiarity with CI/CD pipelines and automated testing frameworks.</li><li>Interest in learning about new technologies and applying them to improve our backend systems.</li><li>Prior involvement in open-source projects or contributions to community forums.</li></ul><h3>Why join us</h3>Joining our team means becoming part of an innovative and collaborative environment where your ideas and contributions will be valued. You will have the opportunity to work alongside talented professionals who are passionate about technology and committed to growth. With flexible working hours and a supportive culture, you will be able to balance your professional and personal life while enhancing your skills and advancing your career in backend engineering.

Backend Engineer

Qureos

About the company: We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in. About the Role As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run. <ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul> What You'll Do <ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul> What You'll Bring <ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul> Bonus: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms. Comfortable working in dynamic environments with changing priorities and high ownership. Why Join Us You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer. If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.

Forward Deployed Engineer

Numeric

<div>
 
 At Numeric, we&rsquo;re building the modern data platform for accounting and finance.
 
 
 
 We&rsquo;re building the financial platform that realizes the dream of live, rich, trustworthy data and insights for companies to drive decision-making &amp; execution.
 
 
 Among our hundreds of customers are Anthropic, Notion, Brex, OpenAI, Cursor, Plaid, Wealthfront, Mercury, Figma, and Asana.
 
 
 We raised a $51M Series B in late 2025. We&rsquo;re backed by IVP, Menlo Ventures, Founders Fund, 8VC, et all. as well as founders and executives from Ramp, Segment, and more.
 
 
 
 Why Numeric?
 
 
 
 Accounting is a massive, growing data problem. Every business would like to ground their decisions, strategy, and analysis in rich, up-to-date information. Financial data, however, is poor, fragmented, delayed, and lacking context; the accounting work to bring it together is tedious and error-prone. To fix this requires foundational changes in accounting and in the broader finance function.
 
 
 We are addressing these problems at their root by building the infrastructure and product experiences to ingest events, transform them, match value movement, project interpretations, and report against our unified graph of financial data. We&rsquo;re applying principles of software engineering and data systems to scale accounting.
 
 
 We tackle the hard problems. Accounting does not need more duct tape.
 
 
 We&rsquo;ve rethought the field&mdash;its primitives, assumptions, and practices&mdash;while staying grounded by working closely with our customers. As engineers, we do our homework. We study the domain and talk to our users, and by doing so we earn the right to bring a fresh perspective to the problem of financial data.
 
 
 
 The Role
 
 
 
 Our Close product is the operating center for accounting and finance teams. Our product weaves collaboration, automation, and workflow tools with deeply-integrated financial data and reporting. Customers depend on Numeric to alert on their financial transactions, perform trend analyses, match money movement across accounts, and more as they close the books each month.
 
 
 We&rsquo;re looking for engineers who enjoy shipping in a tight feedback loop with customers, and take pride in raising the quality and robustness of the system in which they work.
 
 
 
 You might be a fit if&hellip;
 
 
 
 <ul>
 <li>
 You practice &ldquo;leave it better than you found it&rdquo; with the systems in which you work. You&rsquo;re the type who consistently refactors and improves the system, codebase, and tools as you go.
 </li>
 <li>
 You appreciate tight feedback loops with active customers, and are energized by shipping visible changes to user
 </li>
 <li>
 You&rsquo;re comfortable reasoning about systems with regard to resilience, testing, and observability
 </li>
 <li>
 You&rsquo;re excited to build systems to support and manage AI development, enabling faster pace without losing stability and quality
 
 
 </li>
 </ul>
 
 What You Need
 
 
 
 <ul>
 <li>
 3+ years of full-time experience building software, ideally some tenure of &gt;2 years in one company
 </li>
 <li>
 Fluency of backend fundamentals, including data structures, database fundamentals, performance concepts.
 </li>
 <li>
 Code design skills to build robust, high-quality programs
 
 
 </li>
 </ul>
 
 Bonus points for&hellip;
 
 
 
 <ul>
 <li>
 B2B SAAS experience, especially in related areas like finance, accounting, or in other complex domains
 </li>
 <li>
 Strong AI development workflow
 </li>
 <li>
 Strong product thinking, user empathy, or design thinking
 
 
 </li>
 </ul>
 
 How We Work
 
 
 
 
 This role is in-person in New York City.
 
 
 
 As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.
 
 
 We believe the best company is the one with the best ICs and we&rsquo;ve built a culture to maximize great work. We believe great product &amp; engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.
 
 
 We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:
 
 
 <ul>
 <li>
 Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.
 </li>
 <li>
 Brick by Brick: To win, our team needs to show up and execute in each domain every day.
 </li>
 <li>
 Love the Game: We focus on the craft and a deep sense of giving a f*ck. We&rsquo;re building a company full of people who are equally engaged and motivated.
 </li>
 <li>
 Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
 </li>
 <li>
 SALY: We refuse to accept &ldquo;Same As Last Year.&rdquo; We bring fresh eyes to a stagnated and underserved domain. We&rsquo;re driven by a first-principles approach to building better solutions.
 
 
 </li>
 </ul>
 Read some of our thoughts on engineering and company-building here.
 
 
 Compensation Range: $155K - $260K
 
 
</div>

Software Engineer, Cash & Close

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.
As a Senior Associate, Generative AI Engineer in the Chief Data and Analytics Office, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.
Job responsibilities
<ul><li>Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use</li>
<li>Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences</li>
<li>Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption</li>
<li>Implement batch and real-time processing patterns to support high-throughput, low-latency use cases</li>
<li>Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems</li>
<li>Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening</li>
<li>Optimize system performance, scalability, and cost across inference, storage, and compute</li>
<li>Define and track measurable outcomes, including objectives and key results aligned to business needs</li>
<li>Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations</li>
<li>Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience</li>
<li>3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering</li>
<li>Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health</li>
<li>Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision</li>
<li>Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)</li>
<li>Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices</li>
<li>Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements</li>
<li>Ability to define success metrics and write clear objectives and key results aligned to business expectations</li>
<li>Strong problem-framing skills to align machine learning solutions to business objectives and constraints</li>
<li>Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)</li>
<li>Experience building batch and streaming microservices exposed via gRPC and/or GraphQL</li>
<li>Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models</li>
<li>Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches</li>
<li>Experience with multimodal large language model use cases (text plus image, speech, or video)</li>
<li>Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations</li>
<li>Experience measuring and improving model quality using offline evaluation and production monitoring</li>
</ul>#LI-RB3
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Generative AI - Senior Associate

Uber

<div>About the Role
 
 
Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
 
 
We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
 
 
What You'll Do
 
 
This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
 
 
Basic Qualifications
<ul><li>4+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul>Preferred Qualifications
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization 
<li>
</li></ul> 
 
For Chicago, IL-based roles: The base salary range for this role is USD $182,000 per year - USD $202,000 per year. 
 
For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. 
 
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. 
 
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Senior Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Build the real-time, globally distributed platform that controls billing, budgeting, payments, and promotions for Amazon Advertising &mdash; processing multi-million transactions worth 100x in dollar value daily with millisecond SLAs, directly impacting the experience of advertisers worldwide. Your work powers the financial levers behind one of Amazon's fastest growing businesses. 
 
The Iron Mountain platform is the singular system managing all advertiser-facing financial functions &mdash; billing, invoicing, accounting automation, budgets, promotions, payments, and Billing Advertiser Experience (AX) &mdash; in real-time while being transparent and auditable from the ground up. These systems serve Sponsored Ads worldwide across all advertising displayed on or off Amazon. With international expansion driving 10X traffic growth, you'll solve critical distributed systems challenges: building architecture that scales exponentially, maintains high availability with minimal downtime (where outages directly impact revenue and advertiser business), and guarantees millisecond response times for front-end advertiser experiences. Our team spans Bangalore, Seattle, and New York &mdash; truly global in spirit. 
 
Key job responsibilities 
<ul><li>Design and build global, scalable, secure back-end applications for billing, budgeting, payments, and promotions at massive transaction volume</li></ul> 
<ul><li>Build customer-facing front-end applications that enable frictionless billing, budgeting, and payments for advertisers</li></ul> 
<ul><li>Architect high-availability, distributed systems with millisecond SLAs &mdash; ensuring zero revenue loss and uninterrupted advertiser experiences</li></ul> 
<ul><li>Seamlessly integrate with downstream ad serving platforms, billing and budgeting systems across the broad variety of advertising programs with no loss in information</li></ul> 
<ul><li>Design for 10X traffic growth &mdash; building easily scalable architecture that supports international expansion and new business needs</li></ul> 
<ul><li>Own what you and your team create end to end &mdash; from feature design with customers, designers, and product managers through implementation, performance, and operational excellence</li></ul> 
<ul><li>Identify and mitigate design risks early to increase speed of implementation; be judicious with dependencies and efficient with resource usage</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div>

Software Development Engineer, Ads Core Services

Radar Labs

<div><div><h2 class="jobSectionHeader">Location</h2>
New York ; US Remote
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
On-site
</div><div><h2 class="jobSectionHeader">Department</h2>
Engineering
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$200K &ndash; $300K &bull; Offers Equity</li>
</ul><div>Our salary ranges are determined by role, level, and location. The final offer may vary based on market location, job-related skills, experience, and relevant education or training.</div></div></div>
 <div>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?
<ul><li>We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
</li><li>We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
</li><li>We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
</li><li>We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
</li><li>We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
</li><li>We were recently named a top 10 best place to work in NYC by Crain's.
</li></ul>Despite our growth and scale, we're still just getting started. That's where you come in.
About the role
We're looking for an Engineering Manager to lead a distributed SRE team to work on our production infrastructure. You will be responsible for supporting a team and driving a roadmap that makes Radar&rsquo;s services scalable and highly available worldwide. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used on over 300MM devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region.
The stack:
We use Terraform to manage our infrastructure.
We deploy everything to AWS via EKS.
We use MongoDB deployed to Atlas.
We do CI and deployments via CircleCI.
We monitor production with CloudWatch, Grafana, Pingdom and PagerDuty.
DNS is managed by CloudFlare.
Most engineers are in the on-call rotation.
Our main server languages are TypeScript and Rust.
Our data pipelines are written in Airflow and Scala Spark.
We sponsor OpenStreetMaps, MapLibre and OpenAddresses.
How we use AI:
<ul><li>Engineers choose what AI tools they use, Claude and Codex being the most popular.
</li><li>We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
</li><li>All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.
</li><li>There is a range of how much engineers use AI. Most use it daily if not weekly.
</li><li>We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.
</li></ul>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 &quot;Full-Stack&quot; has the connotation of &quot;Frontend and Backend&quot;, 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. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week.
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&rsquo;ll do:
<ul><li>Manage, grow, and mentor a globally distributed SRE team
</li><li>Be responsible for our observability, monitoring, and incident management practices
</li><li>Work on core Radar infrastructure using Terraform all deployed to AWS via EKS
</li><li>Work with our product, data, platform, and security engineers to ensure the development of highly-available, scalable, and reliable software
</li><li>Champion automation and self-service capabilities over manual processes, and have grounded perspectives on AI-assised tooling
</li><li>Drive critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities
</li><li>Ensure compliance and security by default in our processes and infrastructure by partnering with our GRC and security teams
</li><li>Have your work be used by 100's of millions of devices
</li><li>Be part of the on-call rotation
</li><li>Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
</li></ul>You should:
<ul><li>Be able to get your hands dirty and dive deep into production issues
</li><li>Have experience managing a production AWS environment via Terraform
</li><li>Have experience with high availability multi-region production infrastructure running on Kubernetes
</li><li>Have experience managing large sharded Mongo clusters with heavy read-write workloads
</li><li>Have experience at a high growth startup
</li><li>Be interested in talking to customers or prospects and making them successful
</li></ul>Bonus points if you:
<ul><li>Are a former technical co-founder
</li><li>Have experience with high throughput data intensive applications
</li></ul>You&rsquo;ll work with
<ul><li>Tim Julien, CTO
</li><li>Leo Kim, VP Platform Engineering
</li><li>Our Engineering, Customer Success, Sales Engineering and Sales teams
</li><li>Our customers and prospects
</li></ul>What we offer:
<ul><li>Competitive salary
</li><li>Meaningful stock options in a fast-growing company
</li><li>401(k) plan with 4% match
</li><li>New HQ in Flatiron, NYC
</li><li>Top-notch equipment
</li><li>Catered lunches
</li><li>Unlimited PTO
</li><li>Health, dental, and vision insurance with 100% coverage for employees
</li><li>12 weeks of paid parental leave
</li><li>Commuter and fitness benefits
</li></ul>We&rsquo;ll share full details of our benefits package at the offer stage. Benefits may vary by location.
Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law.
Compensation Range: $200K - $300K</div>

Engineering Manager, Site Reliability

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