Note: The job is a remote job and is open to candidates in USA. YipitData is a market research and analytics firm that provides insights from alternative data for investment funds and corporations. The company is seeking a Senior Software Engineer to modernize, scale, and operate shared cloud infrastructure, leading Site Reliability Engineering and DevOps initiatives across mission-critical systems. The role focuses on reliable infrastructure, observability, incident management, disaster recovery, CI/CD, 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
Skills
- 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
- 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
- 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
- Familiarity with observability solutions like Datadog is a plus
- Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Equity
- Fully remote work within the United States
Company Overview