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You&#39;ll work across the full infrastructure stack , from the cloud services and data pipelines that power our enrichment APIs, to the developer tooling and observability systems that keep our engineering team moving quickly.</p>\n<p>This is a high-ownership role on a small team, where your decisions directly shape the reliability of products processing hundreds of millions of transactions.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Collaborating on our technical vision to build and scale internal infrastructure that engineers and customers love</li>\n<li>Developing and maintaining low-latency, massively-scalable infrastructure for data ingestion, reporting, and developer-facing APIs</li>\n<li>Continuously improving our engineering best practices by designing and implementing systems that allow us to expand our platform while maintaining high quality and solid observability</li>\n<li>Debugging production issues across all levels of the stack</li>\n<li>Bringing a strong collaborative approach to deliver value to customers and internal stakeholders at Spade</li>\n</ul>\n<p>Must-haves include:</p>\n<ul>\n<li>5+ years of experience building and scaling AWS Cloud Infrastructure (ECS/Fargate, RDS Aurora Serverless, Terraform/CDK etc)</li>\n<li>Experience with highly scalable networked APIs, Postgres, data pipelines, and async processing</li>\n<li>Experience and opinions with implementing effective observability instrumentation and ensuring alerts are timely and actionable</li>\n<li>Experience building tools and systems that empower internal developers to deliver business value rapidly</li>\n<li>Experience building systems from scratch, making trade-offs, and executing autonomously in early-stage environments</li>\n<li>A product mindset and strong problem-solving skills, with the ability to navigate ambiguity and focus on delivering customer value, for internal developers and the customers they build for</li>\n<li>A collaborative mindset, fostering a culture of mentorship, shared success, and continuous improvement</li>\n</ul>\n<p>Nice-to-haves include:</p>\n<ul>\n<li>Experience with building and supporting infrastructure in multiple AWS regions</li>\n<li>Experience with Python and Django</li>\n<li>Experience with Open Telemetry</li>\n<li>Experience with Pganalyze</li>\n<li>Experience with transaction, merchant, and/or location data</li>\n<li>Experience and/or interest in fintech and/or data products</li>\n<li>Experience with agentic development infrastructure and workflows</li>\n<li>Familiarity with data science and analytics tools such as Pyspark, Databricks, and Delta Lake, and Hex</li>\n</ul>\n<p>Why join Spade?</p>\n<ul>\n<li>Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.</li>\n<li>Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside.</li>\n<li>Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.</li>\n</ul>\n<p>Benefits include:</p>\n<ul>\n<li>Competitive compensation and equity package</li>\n<li>Full medical, dental, and vision benefits for US-based employees</li>\n<li>Life &amp; short-term disability insurance</li>\n<li>Unlimited PTO</li>\n<li>Early exercise program</li>\n<li>Extended post-termination exercise period</li>\n<li>401K for retirement planning</li>\n<li>Hybrid team, with pet-friendly headquarters in NYC</li>\n<li>Paid parental leave</li>\n<li>Work from home stipend</li>\n</ul>\n<p>Diversity &amp; Inclusion at Spade:</p>\n<p>Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.</p>\n<p>Salary Range:</p>\n<p>At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high-performing talent, and work to compensate people in line with the value they bring to our team.</p>\n<p>We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity.</p>\n<p>The anticipated base salary range for this role is between $200,000 and $220,000, and an equity grant.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_37853b28-736","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spade","sameAs":"https://spade.com","logo":"https://logos.yubhub.co/spade.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/spade/jobs/4686049005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Between $200,000 and $220,000, with an equity grant","x-skills-required":["AWS Cloud Infrastructure","ECS/Fargate","RDS Aurora Serverless","Terraform/CDK","Highly scalable networked APIs","Postgres","Data pipelines","Async processing","Observability instrumentation","Open Telemetry","Pganalyze","Transaction, merchant, and/or location data","Fintech and/or data products","Agentic development infrastructure and workflows","Data science and analytics tools such as Pyspark, Databricks, and Delta Lake, and Hex"],"x-skills-preferred":[],"datePosted":"2026-04-24T16:11:54.877Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"AWS Cloud Infrastructure, ECS/Fargate, RDS Aurora Serverless, Terraform/CDK, Highly scalable networked APIs, Postgres, Data pipelines, Async processing, Observability instrumentation, Open Telemetry, Pganalyze, Transaction, merchant, and/or location data, Fintech and/or data products, Agentic development infrastructure and workflows, Data science and analytics tools such as Pyspark, Databricks, and Delta Lake, and Hex","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":220000,"unitText":"YEAR"}}}]}