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# Software Engineering

- **Company:** DTN, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $109,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Big Data, Cloud Computing, Profiling, Code Review, Databases, Data Architecture, Information Engineering, Data Governance, Data Normalization, Data Security, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), PostgreSQL, MySQL, Node.Js, NoSQL, Open Source Technology, Oracle (Applications), Performance Tuning, Scrum Methodology, Software Engineering, Software Systems, SQL Databases, Strategies of Testing, Data Processing, Concurrency, Caching, AWS Lambda, AWS AppSync, Amazon Virtual Private Cloud (VPC), Backend, Git, Cloudformation, Amazon Relational Database Service, Git Flow, Graphql, Data Management, Api Design, Cloudwatch, Serverless Computing
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/f903cc89-f992-4c47-a7fd-8026728b2765

## About the Role

* 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 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

## Description

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


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