Software Engineer

Software Engineer

A full set of job requirement is below but this role will have an emphasis on APIs, Integration and Data Products.

Responsibilities for this position may include but are not limited to:

• Consistently delivers complex, innovative and complete solutions, driving them through design, planning, development, deployment and support that simplify business processes and workflows to drive business value.
• Experience building solutions in multiple programming languages and platforms.
• Provide technical leadership both tactical (day to day activities) and strategic (big picture, vision). Work has high senior IT and business leadership visibility.
• Represent team, priorities, architectures in cross-team architectural discussions and decision making. Partner with PMs/POs in forming vision, direction and priorities
• Advocate solid software development practices in the team covering testing, modularity, scalability, observability and integration.
• Deliver results in collaboration with other software engineering and technical teams. Constructively and positively influence own and other teams/organizations direction
• Design and develop data engineering, data integration and data management practices and tools
• Develop software solution leveraging established Clients technology standards and collaborate with internal partners to develop new technology standards as needs arise
• Maintain working knowledge of the latest software engineering tools and practices for continuous integration, unit tests, static and dynamic profiling, code coverage, code analysis, and automated tests.
• Technical mentor for the team, enabling development and growth of other software engineers across the company

Required Qualifications:

• BS in Computer Science or related technical field involving coding (e.g., physics, Engineering or mathematics), or equivalent practical experience.
• 10+ year of Technical depth and breadth across the range of large-scale cloud and data architectures technologies
• Demonstrated deep understanding of the methods, processes and appropriate software engineering frameworks along with Digital Architecture System and Agile Frameworks.
• Practical, hands on experience in all phases of Software Development Lifecycle (plan, design, develop, test, release, maintain and support, decommission), data engineering/data management practices and tools, strong technical background in one or more development platforms (MS, Java, Linux/Unix, Cloud, Mobile).
• Expert knowledge developing and debugging in Microsoft technologies.
• Experience designing and implementing API-first approach across platforms and solutions.
• Has deep knowledge of multiple programming languages, how to apply them and can easily articulate their strengths and weaknesses, Example: Object Oriented Design and Programming with proficiency in 2 or more of the following languages: C#, C++, Angular, Node.js, SQL, Ansible, R, Java, JavaScript, Python, among others
• Effective communicator with a record of clear and impactful communication at multiple levels (i.e. from junior engineers to company’s IT leadership)
• Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications
• A keen eye for good architecture and the ability to develop new architectures and frameworks
• Demonstrated experience in all phases of Software Development Lifecycle (plan, design, develop, test, release, maintain and support, decommission)
• Modern API platform design including how modern UIs are built consuming services/APIs
• Demonstrated strong understanding of Public cloud service offerings (IaaS, PaaS, SaaS services as well product offerings from Azure) and Infrastructure as Code (Container Orchestration, Observability, CI/CD)
• Demonstrated application of systems thinking and strategic thinking skills. Ability to capture the key elements of a system into a simple abstraction that empowers good decisions.
• Demonstrated strong understanding of modern data architectures (e.g. event driven architectures, data democratization, platform approaches to support ML/AI at scale, stream processing, and integrating real time analytics into applications)
• Hands-on experience with Azure Cloud, Service Now, Ansible, Jenkins, and VSTS are considered a plus.