Staff Software Engineer

Job Description

Be the technical lead for feature development in a team of 5-10 engineers and influencing the technical direction of the overall engineering organization. Decompose business objectives into valuable, incrementally releasable user features accurately estimating the effort to complete each. Contribute code to feature development efforts demonstrating to others efficient design, delivery and testing patterns and techniques. Strive for high quality outcomes, continuously look for ways to improve team productivity and product reliability, performance, and security. Develop the talents and abilities of peers and colleagues. Create a memorable legacy as you progress toward your personal and professional objectives. Foster your personal and professional development continually seeking assignments that challenge you. Skills & Experience: Successful Candidates must demonstrate an appropriate combination of: 6 - 10+ years of experience as a software engineer. 3+ years of experience as a Staff or lead software engineer. Bachelors degree in computer science or a STEM field. A portfolio of thought leadership and individual technical accomplishments. Full understanding of Agile software development methodologies and practices. Strong communication skills both verbal and written. Extensive experience working with technologies and concepts such: Behavior-driven or test-driven development JVM-based languages such as Java and Scala Development frameworks such as Spring Boot Asynchronous programming concepts, including Event processing Database technologies such as SQL, Postgres/MySQL, AWS Aurora DBs, Redshift, Liquibase or Flyway No-SQL technologies such as Redis, MongoDB and Cassandra Streaming technologies such as Apache Kafka, Apache Spark or Amazon Kinesis Unit-testing frameworks such as jUnit Performance testing frameworks such as Gatling Architectural concepts such as micro-services and separation of concerns Expert knowledge of class-based, object-oriented programming and design patterns Development tools such as GitHub, Jira, Jenkins, Concourse, and Maven Cloud technologies such as AWS and Azure Data Center Operating Technologies such as Kubernetes, Apache Mesos Apache Aurora, and TerraForm and container services such as Docker and Kubernetes Monitoring and operational data analysis practices and tools such as DataDog, Splunk and EL