Senior Software Engineer Technical Lead
2 weeks ago
Compensation30k-40k$ Yearly + Stocks Options.
Core ResponsibilitiesTechnical LeadershipArchitect and lead the development of scalable AI/ML systems and supporting infrastructureMake critical technical decisions regarding system architecture, technology stack, and development practicesDesign and implement robust APIs and services that integrate with ML modelsLead code reviews and ensure code quality through best practices and testing protocolsMonitor and optimize system performance, focusing on latency, throughput, and resource utilizationTeam LeadershipLead and mentor a team of 4-6 software engineersFoster a culture of innovation, collaboration, and technical excellenceCollaborate with Product, Data Science, and ML teams to define technical requirementsEstablish engineering processes and best practices for the teamParticipate in hiring and growing the engineering teamProject ManagementTransform product requirements into technical specifications and implementation plansManage project timelines and technical deliverablesIdentify and mitigate technical risks early in the development cycleBalance technical debt with feature deliveryProvide regular updates to stakeholders on technical progress and challengesRequired Qualifications8+ years of software engineering experience, with 3+ years in a technical leadership roleStrong experience with distributed systems and microservices architectureProven track record of leading successful technical projects from conception to productionExtensive experience with one or more modern programming languages (Node JS, Next JS, Java, etc.)Deep understanding of software design patterns, system architecture, and API designExperience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)Strong background in data structures, algorithms, and system designExperience with CI/CD pipelines and DevOps practicesPreferred QualificationsExperience working with ML/AI systems in production environmentsFamiliarity with ML frameworks (TensorFlow, PyTorch) and ML deployment practicesUnderstanding of ML operations (MLOps) and model serving architecturesExperience with real-time processing systems and streaming architecturesKnowledge of privacy, security, and compliance requirements for AI systemsContributions to open-source projects or technical publicationsMaster's or Ph.D. in Computer Science or related fieldTechnical SkillsProgramming Languages :
Node JS, Next JS, Java , or similarCloud & Infrastructure : AWS/GCP/Azure, Kubernetes, DockerDatabases : PostgreSQL, MongoDB, RedisML/AI Tools : TensorFlow, PyTorch, MLflow (preferred)Development Tools : Git, JIRA, CI/CD toolsMonitoring & Observability : Prometheus, Grafana, ELK StackSoft SkillsExceptional communication abilities with both technical and non-technical stakeholdersStrong problem-solving and analytical thinkingAbility to mentor and grow team membersExcellence in project planning and executionStrategic thinking and decision-making capabilitiesImpact & Growth OpportunitiesLead the technical direction of AI-powered productsShape the architecture of next-generation AI systemsBuild and mentor high-performing engineering teamsDrive innovation in AI application developmentCollaborate with industry experts in AI/ML
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