[All remote jobs](https://jobicy.com/jobs.md)Open role[![YipitData logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e1bee9df-221.jpg)](https://jobicy.com/company/yipitdata.md)Remote opportunity at[YipitData](https://jobicy.com/company/yipitdata.md) # Senior Software Engineer (Cloud Infrastructure) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/yipitdata.md)Share31 Aug 2026Published45Listing views4Application actions30 Sep 2026Apply before Opportunity details ## About this role. AI SummaryYipitData seeks a Senior Software Engineer to modernize and operate shared cloud infrastructure for data-intensive products and internal engineering teams. The role focuses on AWS, Kubernetes, Terraform, Databricks, Cloudflare, CI/CD, observability, reliability engineering, and disaster recovery. The engineer will own high-impact infrastructure initiatives, partner with application and data-platform teams, and participate in incident-response or on-call operations. This is a US-remote position requiring East Coast working hours, with an annual base salary range of $168,000 to $193,725 plus equity. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis senior role requires hands-on ownership of mission-critical cloud platforms, production reliability, incident response, and infrastructure architecture across several modern technologies. Success also depends on independently making sound tradeoffs while coordinating effectively with multiple engineering teams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$180,863US market range$165k–$210k0$231k AI insightThe disclosed annual base-pay range is USD 168,000 to USD 193,725, with a midpoint of USD 180,862.50. A competitive US market base-salary range for a senior cloud infrastructure/SRE engineer is approximately USD 165,000 to USD 210,000 annually; actual total compensation may be higher with the stated equity component. ## Core skills Skills and capabilities most closely associated with this opportunity. [AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Cloudflare](https://jobicy.com/jobs?search_keywords=Cloudflare.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md) Sample interview questionsDescribe a cloud-infrastructure reliability improvement you led from identification through measurable outcome.I would explain the production risk, baseline reliability metrics, and stakeholders involved; then outline the technical design, rollout safeguards, and monitoring. A strong example would include measurable results such as reduced incident frequency, lower deployment failure rates, or improved recovery-time objectives. How would you implement SLIs, SLOs, and error budgets for a critical Kubernetes-based service? I would first identify user-impacting service outcomes, such as availability, latency, and successful request rate, then define SLIs from reliable telemetry. I would set realistic SLO targets, create alerting tied to burn rates, and use the error budget to guide release velocity, reliability work, and post-incident prioritization. What practices do you use to make Terraform-based infrastructure safe, reusable, and easy for other engineers to adopt? I use versioned modules with clear interfaces, environment-specific configuration, peer review, automated plans, policy checks, and controlled apply workflows. I also document common patterns, test modules where practical, protect state, and provide self-service templates that reduce unsafe manual changes. How do you approach incident response and post-incident reviews for business-critical systems? During an incident, I prioritize customer impact, establish clear ownership and communication, mitigate safely, and preserve evidence for diagnosis. After restoration, I run a blameless review that identifies root causes, contributing conditions, concrete corrective actions, owners, and deadlines, then validate that improvements reduce recurrence. How would you balance cloud-cost efficiency with performance and reliability for data-intensive workloads? I would begin with cost and utilization visibility by workload, then identify overprovisioning, idle resources, inefficient storage, and poorly tuned Kubernetes requests or limits. Changes would be tested against performance and reliability requirements, with capacity forecasts and guardrails ensuring that cost reductions do not compromise SLOs or disaster-recovery objectives. About Us: 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](https://www.inc.com/profile/yipitdata). 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. 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. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. 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