{"schemaVersion":"jobsearcher.job.v1","id":"5d4746f031dd1daa0c9def1f","url":"https://jobsearcher.com/jobs/5d4746f031dd1daa0c9def1f","canonicalUrl":"https://jobsearcher.com/jobs/5d4746f031dd1daa0c9def1f","title":"Software Engineer II (Python, Kubernetes)","description":"About the CompanyOur client is an early-stage, well-funded AI startup focused on redefining how people interact with intelligent systems. The company is developing new AI-powered technology and expanding its platform services with the support of an experienced engineering team.About the RoleThe company is seeking an experienced backend engineer to improve the performance, reliability, and efficiency of its AI-powered applications while expanding its model-serving capabilities.In this fully remote position, you'll work across backend engineering, distributed systems, and production AI infrastructure. Your focus will include developing and optimizing microservices, improving inference performance, reducing application latency, and evaluating opportunities to transition from managed AI services to self-hosted models.You'll also work with Python, Scala, Kubernetes, and cloud infrastructure to support scalable AI services. The position involves hands-on technical work across model serving, production monitoring, deployment, and system performance, with opportunities to collaborate with other engineering teams on architectural improvements.Key ResponsibilitiesDevelop and maintain production microservices using Python and Scala to support AI integrations, application APIs, and distributed backend systems.Identify and resolve performance bottlenecks involving latency, concurrency, throughput, and resource utilization across high-traffic applications.Evaluate and implement model-serving architectures, including self-hosted inference solutions.Optimize GPU utilization, autoscaling, and infrastructure costs.Monitor and maintain the performance, deployment, and operational health of AI services running in Kubernetes.Improve the scalability and reliability of production AI applications.Collaborate with engineering teams to improve system architecture, measure performance, and deliver scalable AI capabilities.Required QualificationsAt least 5 years of professional experience.Strong backend development proficiency in Python and Scala.Experience designing, developing, and maintaining distributed systems and production microservices.Hands-on experience with Kubernetes, containerized applications, and cloud infrastructure.Ability to diagnose and resolve performance bottlenecks involving latency, concurrency, and system throughput.Experience deploying or operating machine learning models through production APIs, with an understanding of inference performance.Practical knowledge of MLOps principles, including model serving, monitoring, deployment, and operational reliability.Familiarity with LLM-powered applications and the backend architecture supporting generative AI systems.Strong understanding of production observability, including logging, metrics, tracing, and performance monitoring.Why Join the Company?Fully remote work arrangement.Join a well-funded AI startup.Work alongside a senior team of experienced engineers.Autonomy and opportunities for career growth and advancement.Competitive compensation and equity.Healthcare benefits.Opportunity to contribute to the development and expansion of AI platform services.Salary & BenefitsAnnual salary: $170,000–$200,000.Equity opportunities.Healthcare benefits.Location and Work ArrangementAtlanta, Georgia, United States (Remote).Fully remote position.Equal Opportunity / EEOJobot is an Equal Opportunity Employer. The company provides an inclusive work environment that celebrates diversity and considers all qualified candidates for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws.Jobot prohibits harassment of applicants or employees based on these protected categories and complies with applicable federal, state, and local laws regarding consideration of unemployment status in hiring decisions.Qualified candidates with criminal histories will be considered in accordance with applicable federal, state, and local laws, including relevant fair-chance hiring requirements.","company":"Torentify","rawCompany":"torentify","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-08T08:36:38.626Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer II (Python, Kubernetes)","description":"About the CompanyOur client is an early-stage, well-funded AI startup focused on redefining how people interact with intelligent systems. The company is developing new AI-powered technology and expanding its platform services with the support of an experienced engineering team.About the RoleThe company is seeking an experienced backend engineer to improve the performance, reliability, and efficiency of its AI-powered applications while expanding its model-serving capabilities.In this fully remote position, you'll work across backend engineering, distributed systems, and production AI infrastructure. Your focus will include developing and optimizing microservices, improving inference performance, reducing application latency, and evaluating opportunities to transition from managed AI services to self-hosted models.You'll also work with Python, Scala, Kubernetes, and cloud infrastructure to support scalable AI services. The position involves hands-on technical work across model serving, production monitoring, deployment, and system performance, with opportunities to collaborate with other engineering teams on architectural improvements.Key ResponsibilitiesDevelop and maintain production microservices using Python and Scala to support AI integrations, application APIs, and distributed backend systems.Identify and resolve performance bottlenecks involving latency, concurrency, throughput, and resource utilization across high-traffic applications.Evaluate and implement model-serving architectures, including self-hosted inference solutions.Optimize GPU utilization, autoscaling, and infrastructure costs.Monitor and maintain the performance, deployment, and operational health of AI services running in Kubernetes.Improve the scalability and reliability of production AI applications.Collaborate with engineering teams to improve system architecture, measure performance, and deliver scalable AI capabilities.Required QualificationsAt least 5 years of professional experience.Strong backend development proficiency in Python and Scala.Experience designing, developing, and maintaining distributed systems and production microservices.Hands-on experience with Kubernetes, containerized applications, and cloud infrastructure.Ability to diagnose and resolve performance bottlenecks involving latency, concurrency, and system throughput.Experience deploying or operating machine learning models through production APIs, with an understanding of inference performance.Practical knowledge of MLOps principles, including model serving, monitoring, deployment, and operational reliability.Familiarity with LLM-powered applications and the backend architecture supporting generative AI systems.Strong understanding of production observability, including logging, metrics, tracing, and performance monitoring.Why Join the Company?Fully remote work arrangement.Join a well-funded AI startup.Work alongside a senior team of experienced engineers.Autonomy and opportunities for career growth and advancement.Competitive compensation and equity.Healthcare benefits.Opportunity to contribute to the development and expansion of AI platform services.Salary & BenefitsAnnual salary: $170,000–$200,000.Equity opportunities.Healthcare benefits.Location and Work ArrangementAtlanta, Georgia, United States (Remote).Fully remote position.Equal Opportunity / EEOJobot is an Equal Opportunity Employer. The company provides an inclusive work environment that celebrates diversity and considers all qualified candidates for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information, or any other basis protected by applicable federal, state, or local laws.Jobot prohibits harassment of applicants or employees based on these protected categories and complies with applicable federal, state, and local laws regarding consideration of unemployment status in hiring decisions.Qualified candidates with criminal histories will be considered in accordance with applicable federal, state, and local laws, including relevant fair-chance hiring requirements.","datePosted":"2026-11-08T08:36:38.626Z","dateModified":"2026-11-08T08:36:38.626Z","hiringOrganization":{"@type":"Organization","name":"Torentify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5d4746f031dd1daa0c9def1f"},"url":"https://jobsearcher.com/jobs/5d4746f031dd1daa0c9def1f"}}