JOBSEARCHER

Lead Python Engineer - AI Platforms

SoniHazlet, NJL6 LeadApril 12th, 2026
We are supporting a client in the search for a Lead Python Engineer to join a fast-paced engineering team building, operating, and scaling AI-enabled platforms. This is a hands-on software engineering role focused on production systems—not research or data science—with a strong emphasis on reliability, security, and operational excellence.This opportunity suits an engineer who enjoys owning solutions end to end, working close to infrastructure, and delivering real-world, enterprise-grade systems.Key ResponsibilitiesDesign, build, and maintain production-grade Python services that power AI-enabled automation platformsLead and mentor engineers while contributing hands-on across the full development lifecycleDesign secure, scalable, and highly available system architectures aligned with industry best practicesCollaborate with globally distributed engineering, AI, and DevOps teams to deliver integrated solutionsMonitor system health, performance, and reliability, proactively identifying and resolving issuesContinuously evaluate new tools and technologies to enhance platform capabilitiesRequired Experience & SkillsBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)7+ years of professional software engineering experience in enterprise environments5+ years of hands-on Python development building backend services and APIsProven experience leading or mentoring development teamsStrong experience with AWS, cloud-native architectures, security, and operational best practicesExperience integrating AI/ML services and frameworks into production applicationsSolid understanding of Agile development, CI/CD pipelines, automated testing, and code reviewsExperience with containerization and orchestration (Docker, Kubernetes, or similar); exposure to platforms such as SageMaker is a plusFamiliarity with AIOps, monitoring, observability, and performance optimizationStrong troubleshooting skills and the ability to quickly learn new technologiesCompensation: $150,000-190,000 annuallySalary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.