Key skills

GraphQLAWS AppSyncAWS LambdaAWS RDSAWS DynamoDBAWS IAMAWS CloudWatchAWS X-RayAWS KinesisAWS GlueAWS AthenaAWS CDKAWS CloudFormationNode.jsPythonDataLoaderSQLPostgresMySQLOracleNoSQLData ArchitectureGitCI/CD pipelinesUnit TestingIntegration TestingPerformance ProfilingServerless ArchitectureAPI ArchitectureData GovernanceData EngineeringAWSServerlessCloudFormationLambdaDynamoDBRDSIAMCloudWatchGlueAthenaKinesisCachingPerformance OptimizationAgileScrumCI/CDCommunication

About this role

DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. The Software Engineer will specialize in designing, developing, and testing software systems, focusing on API architecture and cloud-based tools.

Responsibilities:

Designs, develops, and implements GraphQL APIs to provide unified data access across multiple systems
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
Quality improvement processes including code reviews, schema validation, and performance optimization
Develops documentation for semantic API patterns and implementations

Requirements:

Proficiency in GraphQL and AWS AppSync including schema design, batch Lambda resolvers, pipeline resolvers, subscriptions, and caching
Minimum 3 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)
Node.js for building batch Lambda resolver functions
Proficiency in Python for data processing and Lambda functions
Understanding of Lambda batching patterns (DataLoader, batch aggregation, connection pooling, caching)
SQL and database knowledge (Postgres, MySQL, Oracle)
Experience with NoSQL databases (DynamoDB)
Understanding of data architecture principles including modeling for transactional and analytical workloads
Git including branching strategies and code review processes
CI/CD pipelines for AppSync and Lambda deployment
Testing strategies (unit, integration, schema validation, batch operation testing)
Performance profiling and optimization for serverless and databases
Minimum 4 years of software engineering experience with minimum 1-2 years focused on API architecture and data-intensive applications
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
AWS Certifications
Background in energy, commodities, or supply chain domains
Multi-tenant architectures experience
Contributions to open-source GraphQL projects
Database administration experience across multiple platforms