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DESCRIPTION:
Duties: Design, develop and implement software solutions. Solve business problems through innovation and engineering practices. Involved in all aspects of the Software Development Lifecycle (SDLC) including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules. Identify, troubleshoot and resolve application code-related issues. Take active role in code reviews to ensure solutions are aligned to pre-defined architectural specifications. Assist with design reviews by recommending ways to incorporate requirements into designs and information or data flows. Participate in project planning sessions with project managers, business analysts, and team members to analyze business requirements and outline proposed solutions. Follow best practice agile methodologies in optimizing team delivery velocity, ensuring team is analyzing, grooming, designing, and presenting designs prior to development. Review designs and coach staff on best practices in distributed system design standards. Provide leadership and support in resolving complex system outages in production when needed, and mentor team in providing excellent technical support when they are on call. Design, develop and implement infrastructure as code solutions. Lead, Coach and Mentor staff in the team, and help manage their careers. This position requires up to 10% domestic travel.
QUALIFICATIONS:
Minimum education and experience required: Bachelor’s degree in Mechanical Engineering, Computer Engineering, Computer Science, Computer Information Systems, Electrical Engineering, or related field of study plus 7 years of experience in the job offered or as Software Engineer, Software Engineering Manager, or related occupation.
Skills Required: Requires experience in the following: Apache Zookeeper; Cloud Services such as AWS or Azure; Docker; Java; REST; JSON; Maven; Selenium; Hive; Javascript; JQuery; Junit; Microservices; Performance Testing; Shell Scripting; Apache Kafka; Infrastructure Architecture Disciplines; Jenkins; Kubernetes; Kibana; Python; Spring Framework; Cassandra; Cucumber; Hadoop; SQL; Machine Learning; Real-time cloud native high throughput low latency stream processing and machine learning systems at scale, including optimizing for latency and reliability by tuning datastores & schemas, real- time processing logic, watermarks, and sinks; Distributed system User Interfaces; RESTful; SOAP; CAP Theorem; Application Performance Monitoring (APM); and monitoring, diagnosing and resolving cross system, network, and datastore issues in high throughput and low latency production systems.
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