Software Engineer, Infrastructure
LaddersAbout the role
For our client, we are seeking a Software Engineer, Infrastructure to join the team of a leader in the Media space.
This role will shape the infrastructure that supports core product delivery, with a strong focus on reliability, deployment efficiency, and operational excellence. You will partner closely with engineering teams to improve the systems that power AI workflows, production services, and internal developer velocity. The position also calls for thoughtful decision-making around cost, performance, and security in a fast-moving environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $220,000 – $292,000 annually
Responsibilities
Own the infrastructure foundation, including GCP, Kubernetes, and deployment processes, with a focus on reliability and efficiency
Manage AI enablement systems, including GPU capacity and pipelines for model training and inference
Make informed engineering decisions that balance cost constraints with performance and efficiency
Implement security measures across systems, including identity and access management and secrets management
Develop clear infrastructure documentation and observability insights to improve team understanding and responsiveness
Drive improvements in team processes, including tools and practices that help teams ship quality releases faster
Mentor and guide engineers through technical feedback and knowledge sharing
Qualifications
8+ years of experience with production distributed systems or similar server-side engineering focused on infrastructure
Experience leveraging agents strategically and critically assessing AI applications in work processes
Experience managing high-stakes systems where failure incurs significant costs, with practical knowledge of reliability and deployment
Hands-on experience with incident management, including on-call responsibilities and executing rollbacks under pressure
Familiarity with SLOs and error budgets as operational tools for reliability management
Proven experience with major cloud services and Kubernetes, with a preference for infrastructure-as-code methodologies
Experience directing the architecture or migration of significant projects, with an understanding of long-term implications and areas for improvement
Benefits
Equity options available to employees
Flexible work environment
Opportunity to work on projects that leverage the organization's own product, with applications reviewed by a human if a video submission is included
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Own the infrastructure foundation, including GCP, Kubernetes, and deployment processes, with a focus on reliability and efficiency
- Manage AI enablement systems, including GPU capacity and pipelines for model training and inference
- Make informed engineering decisions that balance cost constraints with performance and efficiency
- Implement security measures across systems, including identity and access management and secrets management
- Develop clear infrastructure documentation and observability insights to improve team understanding and responsiveness
- Drive improvements in team processes, including tools and practices that help teams ship quality releases faster
- Mentor and guide engineers through technical feedback and knowledge sharing
Qualifications
- 8+ years of experience with production distributed systems or similar server-side engineering focused on infrastructure
- Experience leveraging agents strategically and critically assessing AI applications in work processes
- Experience managing high-stakes systems where failure incurs significant costs, with practical knowledge of reliability and deployment
- Hands-on experience with incident management, including on-call responsibilities and executing rollbacks under pressure
- Familiarity with SLOs and error budgets as operational tools for reliability management
- Proven experience with major cloud services and Kubernetes, with a preference for infrastructure-as-code methodologies
- Experience directing the architecture or migration of significant projects, with an understanding of long-term implications and areas for improvement
Benefits
- Equity options available to employees
- Flexible work environment
- Opportunity to work on projects that leverage the organization's own product, with applications reviewed by a human if a video submission is included
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.