Software Engineering PMTS / Architect

Required Skills & Experience:

• 12+ years of development experience, with at least 7+ years of experience in optimizing large scale AI, big data and/or distributed systems. 
• Experience with BigData technologies like Kafka, Apache Spark, Apache Storm, Hbase, Cassandra, Elastic Search, MongoDB, etc
• Experience with designing and optimizing multi tenant architecture, load balancers, caching, distributed queues, high availability and reliable systems, etc
• A proven track record of optimization and design improvements of public cloud technologies AWS, GCP, etc for cost-optimization, performance and scalability.
• A mastery of a programming languages (e.g. Java, C++) and strong Object-Oriented programming skills with focus on optimizations, design patterns and best practices for performance and scalability. 
• Strong command on analyzing and fine tuning algorithms and data structures
• Strong knowledge of structured and unstructured database fundamentals, design, architecture, performance and scalability
• Outstanding attention to detail and strong communication skills
• Ability to drive cross-cloud/cross-program/cross-product teams on large complex  projects to ensure application and systems are performant, scalable, stable and reliable
• Experience leading and driving production escalations: monitoring, remediation, patch delivery, root-cause-analysis and ability to engage customers directly and heavily customer focussed
• Ability to mentor and coach Lead and Senior engineers to develop skills and knowledge and act as a multiplier
• Clear understanding of software engineering concepts, methodologies, tools, performance & capacity indicators, metrics and analysis.  
• Ability to set standards and best practices giving direction to the team and also influence externally
• BS, MS, or PhD in Computer Science or equivalent work experience

Desired Skills & Experience:



• Master’s degree in computer science, engineering, or a related field
• 5+ years of experience in AI, big data, and distributed systems
• Experience with AWS, Azure, or GCP
• Experience building IaaS/SaaS applications
• Development experience with PL/SQL, SQL, optimizing queries and databases on Oracle or similar DB technologies 
• Experience with distributed systems concepts such as scalability, fault tolerance, and load balancing
• Knowledge of statistical analysis and experimental design techniques
• Experience with agile and test-driven-development techniques
• Comprehensive knowledge of operating systems, especially process and system monitoring capabilities