Full Stack Engineer

Software Solutioning and Design

• Develop a strong understanding of business processes and operational analytics needs
• Collaborate with lead engineers and architects to evaluate feature requests and support sprint planning
• Participate in peer code reviews and design reviews
• Provide clear technical input on solution approach, tradeoffs, and effort

Design and Implementation

• Build and enhance scalable enterprise analytics platforms
• Develop cloud-native data architectures, telemetry pipelines, APIs, and reporting systems
• Implement secure, scalable full stack solutions across backend services, data platforms, and front-end analytics applications
• Support end-to-end data workflows including ingestion, transformation, service layers, and dashboards
• Apply established architectural patterns, automation standards, and observability practices
• Ensure systems are designed for scalability, data integrity, availability, and reliability
• Integrate monitoring, telemetry, and operational readiness into platform components
• Develop and maintain automated end-to-end and UI testing frameworks using Playwright
• Support CI/CD integration for automated testing and deployment workflows

Technical Contribution and Engineering Excellence

• Help solve complex technical problems and improve system design
• Promote best practices in secure system design, automation, performance optimization, and resilient engineering
• Continuously improve skills across AWS, data engineering, full stack development, and test automation
• Collaborate with team members to strengthen development, testing, and reliability practices
• Communicate technical approaches clearly to both technical and non-technical stakeholders

Team Operations and Collaboration

• Partner with product, operations, QA, security, and engineering teams
• Support readiness activities through testing, monitoring, and reliability efforts
• Contribute to documentation, knowledge sharing, and continuous improvement
• Foster a culture of ownership, accountability, documentation, and operational excellence

This role is ideal for a hands-on engineer with strong AWS cloud experience, full stack development skills, and a background working with scalable data pipelines, event-driven architectures, APIs, and analytics dashboards. The engineer should be comfortable contributing across backend services, data platforms, front-end applications, automation, and observability.

The ideal candidate is technically curious, collaborative, self-driven, and able to communicate clearly with engineering, product, operations, and security stakeholders., * 3 or more years of experience designing, building, and supporting scalable cloud-native applications, data pipelines, or analytics platforms

• 1 or more years of experience developing modern front-end applications using TypeScript and React
• Hands-on coding and scripting experience with Python, JavaScript, React.js, and Node.js
• Strong knowledge of AWS cloud infrastructure and distributed systems
• Experience with AWS services such as Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch, and DynamoDB
• Experience building APIs and data processing systems using backend technologies such as Node.js, preferably TypeScript, and Python
• Experience with data ingestion, transformation, and orchestration pipelines
• Experience building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS
• Familiarity with asynchronous programming and event-driven architectures
• Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3
• Experience with automated testing frameworks, especially Playwright for end-to-end and UI testing
• Experience with Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI
• Strong focus on scalability, data integrity, reliability, and quality engineering practices
• Excellent analytical, conceptual, problem-solving, communication, and collaboration skills
• Ability to prioritize and execute work in a fast-paced, high-pressure environment

Preferred Qualifications

• Experience with Backstage, LaunchDarkly, or GitHub Actions
• Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar tools
• Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg, and S3-based data lakes
• Familiarity with ML lifecycle concepts and related tools
• Experience with real-time stream processing and Complex Event Processing using Apache Flink or similar technologies
• Understanding of data isolation, performance segmentation, and secure access in distributed systems
• Familiarity with observability and operational strategies in distributed architectures
• Experience integrating Playwright or similar automated testing frameworks into CI/CD pipelines

Technology | Minimum Skill Level Needed

0 = No awareness of the technology

1 = Little awareness, has read or heard of the technology

2 = Exposure to the technology in an environment

3 = Some development experience with the technology

4 = Very comfortable developing with the technology

5 = Expert level, able to teach the technology

AWS DynamoDB | 3

AWS Lambda | 3

AWS S3 | 3

AWS SNS/SQS | 3

AWS Redshift | 2

AWS Athena | 2

Apache Iceberg | 2

Airflow or AWS Step Functions | 3

AWS EMR | 3

AWS Glue | 3

AWS Quick Suite or Tableau | 3

AWS SageMaker Studio | 2

AWS Lake Formation | 2

Python | 3

TypeScript | 3

JavaScript ES6 | 3

• Healthcare Benefits including Medical, Prescription, Vision & Dental Coverage | United Healthcare
• Voluntary STD & LTD | New York Life
• 401(k) Retirement Planning | Fidelity
• Discount Program

*You are Eligible to participate in the benefits program if you are considered a full-time employee of nextSource, working at least 30 hours per week on a consistent basis. Your coverage will be effective on the 1st of the month following 60 days of employment.