Software Engineer

We are hiring a Senior Software Engineer to help modernize, scale, and operate the shared cloud infrastructure that powers YipitData’s data-intensive products, agentic customer experiences, and engineering organization. Reporting to the Head of Cloud Infrastructure, you will drive forward Site Reliability Engineering and DevOps initiatives on mission-critical systems that our customers rely on 24/7. You will work on a modern tech stack built with AWS Cloudformation, Databricks, Kubernetes, and Terraform.

This is a hands-on engineering role with meaningful ownership. You will help build reliable, reusable infrastructure capabilities; improve how engineers develop, deploy, observe, and operate cloud technologies; and strengthen our approach to reliability, incident management, disaster recovery, and technology efficiency. You will collaborate closely with platform, application, and data engineers while contributing to a small, high-leverage infrastructure team.

The infrastructure team owns shared platforms and capabilities, while adjacent Data Platform, Data Engineering, and application teams own their applications and data products. You will partner with those teams to provide smooth integrations, operational guidance, and dependable infrastructure that helps them move quickly and safely., * Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies.

• Deliver SRE and DevOps initiatives that improve reliability, scalability, observability, deployment safety, and operational readiness.
• Build reusable infrastructure modules, automation, and self-service workflows that reduce manual work and improve the developer experience.
• Help define and implement service-level indicators, service-level objectives, monitoring, alerting, and error-budget practices for critical systems.
• Participate in incident response and improve operational outcomes through clear runbooks, effective post-incident reviews, and durable corrective actions.
• Strengthen disaster-recovery readiness through recovery planning, automation, testing, and remediation of identified gaps.
• Improve CI/CD workflows and infrastructure delivery so engineering teams receive faster feedback and can deploy confidently.
• Partner with application, Data Platform, and Data Engineering teams to understand infrastructure needs and help teams operate their workloads effectively.
• Improve cloud efficiency through thoughtful architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation.
• Contribute to technical standards, architecture decisions, documentation, and the evolution of the team’s sustainable 24/7 operating model., Do you actively work in cloud platforms such as AWS or Databricks? Do you regularly use infrastructure-as-code tools like Terraform or Cloudformation? If so, please briefly expand. * Do you regularly leverage AI coding tools to assist your work? If yes, how so? * Are you responsible for maintaining or optimizing cloud infrastructure for a customer-facing application? * Business needs require this position to operate on East Coast hours. Are you able to consistently work East Coast hours?* Select… Please only submit a PDF version of your resume above. Submitting .doc, .pages, or other file types may lead to rendering/formatting errors., Kindly share your LinkedIn profile with us! Are you legally authorized to work in the United States for YipitData? Select… Will you now OR in the future require employer-based sponsorship for immigration-related employment benefit(s) or visa status (e.g., H-1B, TN, I-140, etc.) to work for YipitData? (Immigration-related employment benefits include, for instance, H-1B, TN, O, E, and other nonimmigrant work visa/status; employment based “green card”/immigrant sponsorship, such as a labor certification, I-140 immigrant petition for alien worker, adjustment of status, consular processing, etc.)* Select… I acknowledge that for remote-based US roles, depending upon where the remote work is performed, INCOME COULD BE SUBJECT TO NYS TAX WITHHOLDINGS. * Select… A final step in the hiring process is for you to arrange reference calls with former managers, direct reports (for managerial roles), and others. * Select… YipitData is an equal-opportunity employer and seeks collaboration, innovation, and excellence through diversity and inclusion. Here is a set of voluntary demographic questions that are part of our Diversity and Inclusion initiatives. You may choose not to answer the questions below. If you do choose to answer, your responses will be used (in aggregate form only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not in any way be used in the hiring decision. Select…

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• You have 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience, with hands-on experience using AWS, Kubernetes, Datadog, Databricks, and Terraform in production environments.
• You have a strong interest in building AI-native and data intensive applications and systems, working closely with Databricks, OpenAI, Anthropic, and open source AI tools to create reliable and efficient AI solutions.
• You write reliable, maintainable software and automation and are comfortable working across infrastructure, systems, and application boundaries.
• You have operated business-critical production systems and understand observability, incident response, operational readiness, and root-cause analysis.
• You have experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms.
• You understand reliability concepts such as SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives. Familiarity with observability solutions like Datadog is a plus.
• You can independently own projects, make sound technical tradeoffs, communicate clearly, and collaborate effectively with engineers across multiple teams.
• You are motivated by reducing engineering friction and creating reusable solutions rather than repeatedly solving the same problem manually.
• You are comfortable participating in an on-call or incident-response rotation and helping the team design a sustainable operational model.
• Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus.
• You hold a Bachelor’s degree or have equivalent practical experience.

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual base salary range for this position is anticipated to be $168,000 - 193,725. Final compensation may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, and internal team benchmarks.
• The compensation package also includes equity.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.

We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on.

For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.