Lead, Software Engineering

Grade Level (for internal use):

11

Whats in it for you:
Its a fast-paced agile environment that deals with huge volumes of data, so youll have an opportunity to sharpen your data skills and work on an emerging technology stack.

Responsibilities:

• Architect, design, and develop solutions within a multi-functional Agile team to support key business needs for Commodity Insights
• Design and implement software components for content systems.
• Perform analysis and articulate solutions.
• Design underlying engineering for use in multiple product offerings supporting a large volume of end-users.
• Manage and improve existing solutions.
• Solve a variety of complex problems and figure out possible solutions, weighing the costs and benefits.
• Engineer components and common services based on standard corporate development models, languages, and tools
• Apply software engineering best practices while also leveraging automation across all elements of solution delivery.
• Collaborate effectively with technical and non-technical stakeholders. Must be able to document and demonstrate technical solutions by developing documentation, diagrams, code comments, etc.

What Were Looking For:

Basic Qualifications:

• Bachelors/masters degree in computer science, Information Systems, or equivalent.
• 8+ years experience in application development
• Strong C# or Java and SQL skills
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development
• Experience with SQL and NoSQL databases
• Experience with Big Data platforms such as Apache Spark
• Expertise in building event-driven, scalable & resilient systems
• Demonstrates a thorough understanding of information systems, business processes, the key drivers, and measures of success while choosing the proper methodologies and policies to support broad business goals
• Experience working in Databricks
• Experience working in cloud computing environments such as AWS, Azure, or GCP
• Experience in the Financial services domain is a plus.

Preferred Qualifications:

• Experience within the carbon registry space
• Familiarity and/or enthusiasm with Data Science Machine Learning is a plus.
• Experience in Snowflake