IT Engineer, Lambda

• Have a technical bachelor’s degree (computer science, information technology, analytics, or similar) that equips you to help build and maintain our internal tools
• Have 3+ years of experience in Software Engineering or a similar role
• Are interested in being part of a talented engineering team that is working on scaling our business
• Have extensive experience with cloud platforms (AWS, GCP, Azure) and the underlying constituent services provided
• Have advanced experience in Python or similar programming languages
• Have first-hand experience with various API’s and integration platforms
• Have a solid understanding of data security, privacy, and compliance requirements
• Show a proven ability to work in a fast-paced, agile environment and manage multiple projects simultaneously
• Experience with application containerization and virtualization platforms
• Experience with CICD build tools (gitlab CICD, github actions, jenkins or similar)

Desirable

• Join our team as a Senior IT Engineer for Internal Tools, where you will collaborate with a high-performing team to build, integrate, and monitor our internal tooling infrastructure
• Your output will directly power integrations between internal services, data sources, and SaaS tools and services to help Lambda develop efficient and automated business processes, as well as make our data and decision making more reliable
• This position will report directly to the IT Engineering manager
• Internal Tools Development: Design, build, and maintain scalable, robust, and efficient internal tools that accelerate Lambda’s business processes
• Support Business Teams: Use your familiarity with internal and external API’s and software engineering to support stakeholder requests and design and improve internal systems
• System Architecture: You’ll work with product engineers and system admins to design, document, and build flows between systems and infrastructure. You will also be a technical subject matter expert and recommend improvements to our internal technology stack
• Quality & Reliability: Ensure the accuracy and consistency of data across multiple systems, performing regular data quality assessments. Implement testing, CICD and IT General Controls to ensure security and reliability of data flows
• Collaboration: Work closely with business leaders, analysts, and other stakeholders to understand requirements and deliver appropriate solutions. This will include participating early in product-design discussions, and staying involved with teams across the company
• Automation & Optimization: Automate manual processes and continuously optimize systems for performance, cost efficiency, and scalability
• Technology Evaluation: Stay up-to-date with the latest industry trends, tools, and technologies to improve data engineering practices and infrastructure
• Mentorship: Provide technical leadership and mentorship to junior engineers, analysts, and business users, sharing best practices and fostering a collaborative team environment