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Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionJob Description About Our Client Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world's most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI. The Opportunity As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity. What You'll Do 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. Required Qualifications 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. Preferred Qualifications 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. Why Join? Competitive compensation package, including 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. Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.