Lead Software Engineer

Benefits

Location: Columbus, OH onsite.

The role supports a team culture rooted in diversity, inclusion, respect, and opportunity.

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Responsibilities

• Lead the architecture, development, and deployment of scalable platform solutions, applying advanced troubleshooting and innovative approaches to address complex infrastructure and integration challenges.
• Develop and maintain secure production code and automation scripts to ensure reliable integration across enterprise platforms and infrastructure.
• Promote adoption of enterprise AI assisted engineering practices to improve code quality, speed, and outcomes, while setting validation standards and encouraging reuse of effective patterns across the team.
• Leverage the Software Development Life Cycle toolchain, including AI assisted development and automation capabilities, to maximize automation value.
• Create comprehensive architecture and design documentation for complex applications, ensuring alignment with constraints and best practices throughout the lifecycle.
• Analyze large, diverse data sets to produce actionable visualizations and reporting that drive continuous improvement of software and system performance.
• Proactively identify patterns and issues in data to refine coding standards, system architecture, and application resiliency.
• Engage with internal software engineering communities of practice, participating in events and initiatives that explore emerging technologies and industry trends.
• Foster a collaborative team culture that values diversity, inclusion, respect, and opportunity, mentoring junior engineers.

Requirements

• Formal training or certification on software engineering concepts and 5+ years of applied experience in NAMR/APAC regions (India, LATAM, Hong Kong).
• Formal training or certification on software engineering concepts and advanced applied experience in EMEA and LATAM Brazil.
• In Singapore, follow local country guidance.
• Demonstrated experience leading effective use of approved AI assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages.
• Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including design and implementation of scalable data storage architectures.
• Proven track record deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
• Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
• Strong experience with Continuous Integration and Continuous Deployment processes, utilizing tools such as Jenkins and Spinnaker to automate and streamline software delivery pipelines.
• Comprehensive understanding of the full software development lifecycle, agile methodologies, application resiliency, and security best practices.
• Demonstrated expertise in software applications and technical processes within cloud computing, artificial intelligence, machine learning, and mobile technologies.