Chief Executive Officer

Responsibilities:
Setting a vision for how technology will be used in the company.
Manage overall software development process including SW architecture, design, implementation, testing, deployment and support. Deliver high quality enterprise-grade solutions under aggressive timelines and within budget. Leverage in-house, external and other open source machine learning software/algorithms, BigData ingestion, aggregation and Analytics.
Lead engineering teams. Create processes, infrastructure, and a culture that enables a geographically disperse team to collaborate effectively and creates sustained effective technological engineering. Work closely and in partnership with Product Management, Solutions Delivery, and Operations teams.
Participate as a key member of the executive team. Work in collaboration with other executives to define goals and ensure functional groups within the team are well aligned.
Set up a culture that encourages innovation and continuous improvement.    
Staying on top of technology trends and developments.
Ensuring all technology practices adhere to regulatory standards.
Recruit, hire and manage a technical team
Perform code reviews, manage your team’s estimation process, and deal with blockers that arise from daily standups
Requirements:
 
Master’s degree in Computer Science or a related field
35 years working in a technological role with proven experience at a leadership role 
15 years managerial experience.
Hands on experience architecting and supporting highly scalable cloud-based solutions
Expert level technical knowledge: OOP, systems architecture, and related frameworks, modern JScript frameworks, microservices, relational and noSQL databases, CI/CD (tools and processes)
Exceptional team management skills.
Excellent verbal and written communication.
Hands on experience with cloud technologies including AWS, GCP, Azure and OpenStack. The candidate should ideally hold a Cloud Architect certification for one of these platforms.
Experience with designing and building large scale data ETL pipelines in distributed environments with technologies such as Hadoop, Kafka, Spark, HBase, Airflow, etc and/or their cloud equivalents (i.e. BigTable, BigQuery, DataProc, Composer, RedShift, Glue, Kinesis, etc)
Should be able to do the requirement engineering and design the technical stack for software applications.
Strong knowledge about programming paradigms; should be able to enforce best programming and design practices.
Expertise in software development using Agile/SCRUM, scaled agile or similar methodologies
Experience in creating and running bigdata and ML solutions
Ability to communicate with non-engineering members of the management team, translating business requirements into engineering projects with specific requirements & scope, resources and project timing.