{"id":4261407,"url":"https://alion.io/job/matrice-ai-senior-system-engineer","title":"Senior System Engineer","company":{"id":3906192,"name":"Matrice 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\nDesign, architect, and maintain scalable distributed systems and infrastructure for our Vision AI platform.\nLead the design and implementation of high-performance, fault-tolerant systems using Go, MongoDB, and modern cloud technologies.\nArchitect and optimise system infrastructure for handling large-scale video processing, ML inference pipelines, and real-time data streams.\nDesign and implement monitoring, observability, and alerting systems to ensure system reliability and performance.\nLead infrastructure automation, CI/CD pipelines, and infrastructure-as-code initiatives.\nCollaborate with ML engineers to optimise model deployment infrastructure and inference pipelines.\nDesign and implement disaster recovery, backup, and high-availability solutions.\nMentor junior engineers and establish best practices for system design, reliability, and scalability.\nTroubleshoot complex system issues, perform root cause analysis, and implement preventive measures.\nStay current with cloud infrastructure trends, containerization technologies, and distributed systems best practices.\n\nRequirements: \n3+ years of proven experience as a System Engineer, DevOps Engineer, or Site Reliability Engineer, with expertise in building and maintaining large-scale distributed systems.\nExperience with Go (our backend language) or another systems language, and with MongoDB or other NoSQL databases.\nStrong experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and managed services.\nExpert-level knowledge of containerization (Docker, Kubernetes) and orchestration platforms.\nExperience designing and implementing CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation tools.\nDeep understanding of distributed systems, microservices architecture, and system design principles.\nStrong experience with monitoring and observability tools (Prometheus, Grafana, Datadog, etc. ).\nExpertise in Linux systems, networking, security, and performance optimisation.\nExperience with video streaming, real-time data processing, or ML infrastructure is highly preferred.\nStrong problem-solving skills, systems thinking, and ability to work under pressure.\nExcellent communication skills and ability to lead technical discussions and mentor team members.\nBachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.\nSkills\nAWS, Azure, Docker, GCP, Go, Kubernetes","description_format":"text","description_chars":2452,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Computer Vision","Video 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