Director of Software Development – Global Distributed Team, SaaS, Agile, DevOps, TDD, CI/CD, AWS/PaaS, Jenkins, Apache Spark, Big Data, Machine Learning, Computational Pipelines Full Time

Our well funded ad tech client, backed by one of the largest tech investors in the world, is seeking a Director of Software Development to lead a global team through all aspects of product development, release and maintenance process. You will also influence all aspects of how they test and deploy software on the pubic cloud and the private data centers. The solution is composed of multiple in-house developed microservices and incorporates several third-party open source tools/technologies. Your goal is to ensure that your teams delivers the software for the service deployments so that our business can run with minimal or no service interruptions. This new position is based in Santa Clara and reports to the VP of Engineering.

Responsibilities:

• Direct and oversee the engineering activities in the development, testing, release, and maintenance of multiple micro-services running in a Linux environment on the cloud.
• Recruit, manage, train, guide and mentor your teams and enable a culture of quality, personal accountability, and teamwork across functions and partner/customers.
• Work with cross-functional teams to develop business and user requirements, contribute to product strategy, define features and guide technical designs.
• Lead and participate in regular architectural discussions, design reviews and code reviews
• Define and manage project goals and metrics to drive the feature velocity and the quality of the software products developed and released.
• Lead by example – sometimes that might mean doing hands-on work.

Requirements

• At least 5 years in a technical leadership role, and 10+ years developing production SaaS code for mission critical services.
• Experience in Agile / DevOps principles and practices including automated testing, TDD, CI/CD, and incremental design & architecture.
• Experience with modern open source frameworks for big-data analytics and machine learning and distributed architectures on AWS, GCP and PaaS frameworks.
• Familiarity with the following technologies: C/GoLang/Java/Python/JavaScript, Linux, Spring, REST/JSON, HDFS, HBase/Cassandra, Spark, AWS/GCP, Jenkins.
• Proven, successful track record of taking large analytics software products from concept to delivery in an entrepreneurial, fast-paced environment.
• Knowledge of good software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• A bachelors degree in Computer Science and/or Engineering – A masters degree is preferred.