Job responsibilities
- Manage engineering teams and be responsible for the technology delivery of the product priorities. A strong technical focus on building the right thing in the right way to enable high quality solutions that meet customers' needs
- Engage with business stakeholders to break down complex and ambiguous problems into technical design that an engineering team can implement under your guidance
- Champion engineering practices; Improve the effectiveness of the Engineering teams through coaching, mentoring and resolution of impediments
- Partner with leadership team for driving NFR, Modernization initiatives and controls
- Influence peer leaders and senior stakeholders across the business, product, and technology teams
- Ensure successful collaboration across teams and stakeholders
- Identify and mitigates issues to execute a book of work while escalating issues as necessary
- Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
- Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience leading technology projects
- Experience managing technologists
- Proficient in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with hiring, developing, and recognizing talent
- Experience working at code level
- Expertise with NoSQL databases (Cassandra, MongoDB, etc.)
- Proficiency in multiple modern programming languages including Java, Spring, Spring Boot, Kafka and Spark
- Experience in Agile development and good understanding of SDLC methodologies/guidelines
Preferred qualifications, capabilities, and skills
- Experience in Flink
- Experience in working with cloud native applications, AWS patterns and services for big data processing, stream processing, application serving
- Experience in working with high through put and scalable messaging technologies like Kafka, Kinesis