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Lead Software Engineer
Lead Software EngineerFort Point • Baltimore, MD, US
Lead Software Engineer

Lead Software Engineer

Fort Point • Baltimore, MD, US
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Job Description

Job Description

LEAD SOFTWARE ENGINEER

Seeking a Lead Software Engineer to support products and programs to expand capabilities within leveraging data-driven strategies to support credit decisioning services and data pipelines for analytics.

Responsibilities include supporting the architecture for a data-driven organization and overseeing the build and operation of capabilities necessary for full lifecycle data management, governance, provisioning, modeling, science, and analytics.

The Lead Software Engineer is a leading voice for enabling data-driven decisioning deeply into OMF products and business processes.

The Lead Software Engineer engages within a team of data subject matter experts, covering the range of data-centric domains, building, governing, and operating data platforms, as well as providing embedded data professionals in product delivery teams.

Having both on-premise and cloud-based operations, the Lead Software Engineer balances a strategy which leverages both while driving toward a cloud-first strategy, performing legacy data transformation where necessary.

This role is a mentor to other developers, and responsible for guiding and directing day to day activities within a sprint, and ensuring standards and processes are followed across all projects.

we will want you to do

  • Lead development and maintenance of complex web-based applications & enterprise systems based on Typescript, Angular, NodeJS.
  • Develop target state technology that modernizes core lending platform services leveraging GraphQL with Apollo Client, Server, and Router, BPMN using Camunda v8, and Event Driven Architecture using Kafka on AWS.
  • Demonstrate courage – be willing to take a position to advance design and implementation decisions. Capable of principled push back with both peers and superiors.
  • Continuously enhance and optimize code quality, scalability, security, and performance.
  • Create clean, maintainable, and well-documented code adhering to best practices and coding standards.
  • Write automated tests and conduct thorough testing to deliver high-quality, shippable software every sprint.
  • Collaborate with product owners, user experience designers, and other team members contributing to the product development process, actively participate in discussions and development ceremonies, propose technical solutions, and translate them into working software.
  • Collaborate with DevOps teams to deploy and maintain applications into the Production environment.
  • Stay up to date with industry trends, emerging technologies, and best practices to continuously improve development processes and skills.
  • Have a strong bias for action and learning by doing mindset.
  • Thrive working in a fast-paced environment.

Skill / Experience / Education

  • Set and maintain design guidelines / principles, along with enforcing controls preferably through automation.
  • Design, develop, and model execution platform using AWS Services and open source components.
  • Deploy and migrate developed workflows across different environments.
  • Modify and optimize existing decisioning processes.
  • Integrate Decisioning platform with other systems and components.
  • Facilitate engaging collaboration with cross-functional technology SMEs to design scalable, reliable, resilient, maintainable technical solutions.
  • Establish and execute appropriate testing within Credit Decisioning platforms to enable earlier and more frequent testing.
  • Lead the development of technically complex and highly integrated functionality, including coaching and guiding developers during development cycles, to ensure requirements are being met within defined timelines.
  • Partner with Product Management to ensure design, engineering and implementation meets business needs.
  • Utilize and drive continued adoption of engineering best practices using modern SDLC that enables CI / CD and favors automation, audit-ability, automated testing, and cloud native architectures.
  • Think creatively and insist on continuous improvement; generate new ideas and approaches to implement the ideas.
  • Use metrics to drive continuous improvements in quality, efficiency, and speed.
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