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Senior Software Engineer – Cloud Infrastructure
YipitDataSenior Software Engineer modernizing AWS cloud infrastructure for YipitData’s alternative-data analytics platform. Driving SRE, DevOps, reliability, and scalable data-intensive systems.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating cloud infrastructure using AWS, Kubernetes, and Terraform, while improving reliability and scalability through SRE and DevOps practices. Proficient in implementing monitoring, incident response, and disaster recovery strategies to ensure operational readiness.
Highest-signal resume keywords
AWS Cloud InfrastructureKubernetes ManagementTerraform AutomationCI/CD Workflow ImprovementIncident Response Participation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SRE PracticesDevOps MethodologiesInfrastructure as CodeMonitoring and AlertingCapacity PlanningError Budget ManagementRoot-Cause AnalysisSoftware AutomationCloud Efficiency OptimizationDisaster Recovery Planning
Soft Skills
Project OwnershipTechnical Tradeoff Decision-Making
Tools & Technologies
DatabricksDatadogCloudflareOpenAIAnthropic
Industry Keywords
Cloud-Native TechnologiesOperational ReadinessObservabilityAI-Native ApplicationsData-Intensive Systems
Tech Stack
Tools & technologiesAWSCloudKubernetesOpen SourceTerraform
About the role
Key responsibilities & impact- Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies
- Deliver SRE and DevOps initiatives improving reliability, scalability, observability, deployment safety, and operational readiness
- Build reusable infrastructure modules, automation, and self-service workflows
- Define and implement SLIs, SLOs, monitoring, alerting, and error-budget practices
- Participate in incident response and improve outcomes through runbooks, post-incident reviews, and corrective actions
- Strengthen disaster-recovery readiness through planning, automation, testing, and remediation
- Improve CI/CD workflows and infrastructure delivery
- Partner with application, Data Platform, and Data Engineering teams
- Improve cloud efficiency through architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation
- Contribute to technical standards, architecture decisions, documentation, and the team’s sustainable 24/7 operating model
- Report to the Head of Cloud Infrastructure
Requirements
What you’ll need- 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience
- Hands-on production experience with AWS, Kubernetes, Datadog, Databricks, and Terraform
- Interest in AI-native and data-intensive applications and systems
- Experience working with Databricks, OpenAI, Anthropic, and open source AI tools
- Ability to write reliable, maintainable software and automation
- Experience operating business-critical production systems
- Understanding of observability, incident response, operational readiness, and root-cause analysis
- Experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms
- Understanding of SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives
- Ability to independently own projects and make sound technical tradeoffs
- Ability to participate in an on-call or incident-response rotation
- Bachelor’s degree or equivalent practical experience
- Must not currently or in the future require visa sponsorship
- Must work East Coast hours
Benefits
Comp & perks- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Equity
- Fully remote work within the United States
- Equal employment opportunity