Senior Software Engineer (Cloud Infrastructure)

About This Opportunity

We are representing a confidential market research and analytics firm seeking a Senior Software Engineer to help modernize, scale, and operate shared cloud infrastructure that powers data-intensive products and customer experiences. This is a hands-on engineering role with meaningful ownership, where you will drive forward Site Reliability Engineering and DevOps initiatives on mission-critical systems. You will work on a modern tech stack built with AWS CloudFormation, Databricks, Kubernetes, and Terraform.

This role reports to the Head of Cloud Infrastructure and is expected to work East Coast hours. The position may be performed fully remotely within the United States.

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

What We're Looking For

• 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
• Strong interest in building AI-native and data-intensive applications and systems, working closely with Databricks, OpenAI, Anthropic, and open source AI tools
• Ability to write reliable, maintainable software and automation, comfortable working across infrastructure, systems, and application boundaries
• Experience operating business-critical production systems with 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 reliability concepts such as SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives
• Ability to independently own projects, make sound technical tradeoffs, communicate clearly, and collaborate effectively with engineers across multiple teams
• Motivated by reducing engineering friction and creating reusable solutions rather than repeatedly solving the same problem manually
• Comfortable participating in an on-call or incident-response rotation and helping the team design a sustainable operational model
• Bachelor's degree or equivalent practical experience
• Experience supporting data-intensive SaaS, analytics, or rapidly scaling technology environments is a plus

Please note: Our client is not able to provide visa sponsorship for this position.

How We Work With You

When you apply through Get A Job.ai, our recruiting team will carefully review your qualifications and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. We ask that you do not contact the client directly, as all communications and negotiations will be handled through our team to ensure the best outcome for your candidacy.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is 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.