Senior Software Engineer (Cloud Infrastructure)

YipitData is a market research and analytics firm serving the disruptive economy with data-intensive products and technology. The Senior Software Engineer will modernize, scale, and operate shared cloud infrastructure while leading Site Reliability Engineering and DevOps initiatives, improving reliability, observability, deployment, disaster recovery, and cloud efficiency.

Responsibilities:

• 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

Requirements:

• • 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
• • You hold a Bachelor's degree or have equivalent practical experience
• Please note we expect the Senior Software Engineering to work East Coast hours.
• This role may be performed fully remotely within the United States.
• Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
• • Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus