Staff Software Engineer, Infrastructure

Accountabilities: As a senior technical leader, you will define and enhance cloud infrastructure, platform capabilities, and engineering practices that support scalable AI applications. You will collaborate across multiple teams to improve reliability, security, observability, and developer experience while ensuring systems remain resilient, compliant, and ready for continued growth.

Define and influence the technical direction of cloud infrastructure and platform engineering initiatives.

Design, implement, and optimize cloud-native infrastructure across AWS services, Kubernetes, container platforms, serverless technologies, virtual machines, and data services.

Partner with engineering, machine learning, data, and security teams to deliver scalable, secure, and highly available systems.

Develop infrastructure strategies, technical standards, and implementation roadmaps aligned with business priorities.

Strengthen networking, identity management, and access control across cloud environments.

Improve platform reliability through SLOs, SLIs, error budgets, monitoring, and incident management practices.

Lead blameless post-incident reviews and implement long-term operational improvements.

Drive observability initiatives covering logging, metrics, tracing, and system health monitoring.

Mentor engineers through architecture reviews, technical guidance, and best practices for reliability, security, and maintainability.

Enhance developer experience by improving CI/CD pipelines, automation, tooling, and deployment workflows.

Collaborate with compliance and security stakeholders to support regulated infrastructure requirements.

Requirements:

The ideal candidate brings extensive experience designing and operating modern cloud infrastructure in production environments, combined with strong technical leadership, automation expertise, and a passion for building reliable platforms.

8+ years of experience in infrastructure, platform engineering, or cloud-native software engineering.

Deep expertise with AWS (preferred) and/or Google Cloud Platform.

Strong programming or scripting skills, with Python preferred.

Extensive experience building infrastructure automation and internal engineering tools.

Advanced knowledge of Kubernetes, Docker, container orchestration, and large-scale distributed systems.

Hands-on experience with Infrastructure as Code tools such as Terraform, Pulumi, or similar platforms.

Strong Linux, networking, and systems troubleshooting skills.

Demonstrated success leading complex cross-functional technical initiatives from design through deployment.

Excellent communication, collaboration, and mentoring abilities.

Ability to balance technical excellence with business priorities and delivery timelines.

Experience with observability platforms, monitoring solutions, and operational best practices is highly valued.

Familiarity with regulated environments, healthcare compliance, machine learning infrastructure, or internal developer platforms is considered an advantage.

Benefits:

Competitive annual base salary of $175,000–$230,000 , depending on experience and location.

Equity participation.

Comprehensive medical, dental, vision, and life insurance.

Health Savings Account (HSA) with employer contributions.

Flexible Spending Accounts (FSA) and Dependent Care FSA.

401(k) retirement plan.

Flexible Paid Time Off policy.

11 paid company holidays.

Annual company-wide offsite and periodic team events.

Annual equipment stipend.

Fully remote work opportunity within the United States.

Opportunity to contribute to cutting-edge AI technology in a collaborative, mission-driven environment.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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