• Partner with business stakeholders to gather, analyze, and refine reporting and data requirements • Design, develop, and maintain backend services and microservices supporting reporting and data workflows • Write and optimize complex SQL queries, stored procedures, functions, and triggers using relational databases (e.g., SQL Server, MySQL, Oracle, PL/SQL) • Analyze data sources and define efficient methods for data extraction, transformation, and integration • Monitor and optimize performance of reports and backend services to ensure scalability and efficiency as data volumes grow • Integrate internal and external data sources while maintaining data integrity and security • Perform testing and validation to ensure accuracy, reliability, and proper presentation of reporting outputs • Contribute to front-end development using Node.js, React, and TypeScript, supporting reporting interfaces and user-facing components as needed • Implement automated reporting and scheduling processes to support timely distribution of insights • Document technical designs, data definitions, and processes for long-term maintainability • Collaborate with cross-functional teams including business analysts, data engineers, and product teams • Troubleshoot and resolve report-related and data performance issues • Support containerized application development using Docker

Role Description The Senior Full Stack Engineer delivers high quality, scalable, secure, and reusable software across the stack. This role owns complex features, writes clean and maintainable code, creates design specifications, develops unit tests, and prepares technical documentation. The engineer collaborates closely with cross-functional teams, manages small workstreams, meets deadlines, and promotes team best practices and engineering standards. Working across technology and business teams, the Senior Full Stack Engineer analyzes current procedures and designs solutions that improve reliability, performance, and maintainability. The role consistently applies established standards and processes to reduce risk, drive consistency, and increase efficiency in support of organizational goals. The ideal candidate has hands-on experience designing, developing, and deploying serverless solutions that improve data quality and automation. Strong skills in the data management domain enable the engineer to design and build efficient data pipelines, services, and systems. The engineer maintains professional relationships with stakeholders and team members and meets expectations for communication, collaboration, and delivery. Qualifications - Minimum 7 years demonstrated experience with software development. - Strong and evolving competence in several programming languages and technologies, working knowledge of multiple tool sets, technologies, and implementation environments. - Strong practical experience in JavaScript/Typescript based ecosystem and tools. - Possess technical skills and experience in the virtual infrastructure domain, specifically Amazon Web Services and AWS serverless technologies (Lambdas, DynamoDB, S3, CloudWatch, Redshift etc.). - Design and development experience in building and monitoring microservices. - Demonstrated experience in developing full stack solutions using NodeJS. - Working experience and discipline in Agile, CI/CD, DevOps best practices. - Fundamentals in OO and computer science foundation principles. - Knowledge of software development lifecycle and modern software engineering principles and practices. - Proficient in using AI coding assistants and autonomous agents to accelerate development, testing, and automation—while maintaining deep code understanding, critically validating AI outputs, and exercising technical ownership over all code. - Demonstrated experience building automation test suites. - Strong experience with Infrastructure as Code implementation. Requirements - Experience working on Agile teams with the scrum team member attitude – willingness to support the Team to be successful in any area necessary. - High analytical skills and ability to design, develop, build, refactor scalable, reusable applications and monitor high frequency data services. - Ability to use: KMS, SQS, SNS, OpenSearch, Route 53, VPC. - Fluency with CI/CD toolsets such as: CloudFormation, GitHub, Ansible. - Experience with relational databases and NoSQL databases. - Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques. - Appetite to learn new things, both business process and technology. - Knowledge in Infrastructure as Code, and GenAI. Benefits - 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. Company Description nextSource is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure, and life experiences or for any other reason. nextSource is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, you may contact us at talent@nextSource.com.

• Design, build, and maintain production applications using C# ASP.NET across the full stack • Integrate GIS and mapping technologies such as ArcGIS and Leaflet into application workflows • Build and consume REST and GraphQL APIs from internal and external systems • Write clean, testable, well documented code and participate in meaningful code reviews • Design schemas and write performant queries across SQL Server, MySQL, and Azure Cosmos DB for MongoDB • Optimize performance, indexing, and query efficiency • Contribute to Azure DevOps CI and CD pipelines including build and release management • Own your deployments from commit through production release with automation and traceability • Participate in incident response and root cause analysis for systems you help build • Improve monitoring, alerting, and logging using Azure Monitor and Log Analytics

• Define and drive a clear engineering vision and execution strategy • Establish and own a focused, outcome‑driven roadmap • Lead high velocity execution to ensure meaningful outcomes • Provide strong architectural leadership • Own technical stewardship of cloud‑native (AWS) platforms • Build, lead, and develop high‑performing engineering leadership teams • Evaluate and evolve organizational structure to improve alignment • Partner closely with Product, Data, and AI leaders • Set and reinforce standards for technical excellence