About the Role:

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.

Please note we expect the Senior Software Engineering to work East Coast hours.

As Our Senior Software Engineer You Will:

• 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.

You Are Likely To Succeed If:

• 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.

What We Offer:

• 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.