Senior Software Engineer
DTNAbout the role
For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact.
DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose-built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.
Job Description:
Position Summary
The Software Engineering job family specializes in the design, development and testing of software systems or applications for software enhancements and new products including cloud-based or internet-related tools.
What You Will be Responsible For:
- Designs, develops, and implements GraphQL APIs to provide unified data access across multiple systems
- Leads the development and expansion of semantic API architecture including schema design, resolver optimization, and data normalization strategies
- Establishes data governance and security practices for semantic API layers
- Collaborates with Data Engineering teams to integrate data sources and transformation patterns
- Leads quality improvement processes including code reviews, schema validation, and performance optimization
- Mentors junior engineers and provides technical leadership on GraphQL and semantic architecture best practices
- Develops comprehensive documentation for semantic API patterns and implementations
What You Will Bring to the Position:
Technical Skills
GraphQL & AWS:
- Expert-level proficiency in GraphQL and AWS AppSync including schema design, batch Lambda resolvers, pipeline resolvers, subscriptions, and caching
- Minimum 5 years of AWS cloud experience (Lambda, RDS, DynamoDB, IAM, CloudWatch, X-Ray, Kinesis, Glue, Athena)
- Experience with AWS CDK or CloudFormation for infrastructure as code
- Understanding of Lambda optimization (cold starts, concurrency, VPC considerations)
Backend & Data:
- Expert in Node.js for building batch Lambda resolver functions
- Proficiency in Python for data processing and Lambda functions
- Deep understanding of Lambda batching patterns (DataLoader, batch aggregation, connection pooling, caching)
- Expert-level SQL and database knowledge (Postgres, MySQL, Oracle)
- Experience with NoSQL databases (DynamoDB)
- Understanding of data architecture principles including modeling for transactional and analytical workloads
Development Practices:
- Advanced Git including branching strategies and code review processes
- CI/CD pipelines for AppSync and Lambda deployment
- Strong testing strategies (unit, integration, schema validation, batch operation testing)
- Performance profiling and optimization for serverless and databases
Professional Skills
- Minimum 7 years of software engineering experience with 3-5 years focused on API architecture and data-intensive applications
- Strong data architecture background with understanding of data management, integration patterns, and governance
- Proven ability to lead technical initiatives and mentor engineers
- Excellent communication and documentation skills
- Experience in Agile/Scrum environments
- Problem-solving mindset for performance, data consistency, and architectural issues
- Cost optimization experience in serverless environments
Bonus Qualifications
- AWS Certi
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