Note: The job is a remote job and is open to candidates in USA. The client is an AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. The Senior Software Engineer will design and build scalable backend services, distributed systems, and cloud-native infrastructure supporting AI workloads, while contributing to technical strategy, engineering practices, and team mentorship.
Responsibilities
- Design, build, and scale highly available backend services and APIs powering AI infrastructure products
- Develop cloud-native systems that support large-scale AI and machine learning workloads
- Architect distributed systems with a focus on reliability, security, performance, and scalability
- Build and maintain Kubernetes-based infrastructure and services
- Collaborate closely with product, infrastructure, and security teams to bring new products to market
- Contribute to technical architecture decisions and long-term platform strategy
- Mentor engineers and help establish engineering best practices across the organization
- Improve observability, automation, deployment workflows, and operational excellence
Skills
- Bachelor's degree in Computer Science or a related technical field
- 5+ years of professional backend software engineering experience
- Strong experience designing and building scalable backend systems in production environments
- Deep expertise with Kubernetes and cloud-native technologies
- Experience building distributed systems, microservices, and APIs
- Experience working in a startup or high-growth technology environment
- Strong understanding of software architecture, system design, and engineering best practices
- Excellent communication and collaboration skills
- Experience building infrastructure, platform, developer tooling, or security products
- Experience with AI/ML infrastructure, model deployment platforms, or large-scale data systems
- Experience with public cloud platforms such as AWS, GCP, or Azure
- Familiarity with containerization technologies
- Experience operating in fast-paced environments with a high degree of ownership and autonomy
Benefits
- Meaningful equity participation
- Clear path to future liquidity as the company continues to scale
- Opportunity to build foundational products at the intersection of AI, infrastructure, and security
- Significant technical ownership and influence on product direction
- Collaborative, high-caliber engineering culture
- Chance to work on complex technical challenges shaping the future of AI infrastructure
Company Overview