Full Stack Engineer

Astreya; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Astreya is seeking a Senior Technical Resource to drive architecture across full-stack development, cloud, data, and automation. You will lead technical design, enable scalable enterprise solutions, and guide AI-assisted development within an Agile environment.

You will collaborate with cross-functional teams to implement robust pipelines, CI/CD, and integrated analytics across Oracle ERP, SAP, and modern data stores, shaping the technology roadmap for enterprise customers.

Qualifications

• Strong experience designing and building enterprise-grade software across full-stack, cloud, data, and automation testing.
• Proven track record leading Agile/Scrum teams delivering scalable solutions.
• Hands-on experience with large-scale ERP/CRM integrations and modern data architectures.

Responsibilities

• Design, develop, and maintain high-performance full-stack web applications and microservices.
• Build, execute, and scale end-to-end automated testing frameworks across frontend, backend, and API layers.
• Architect and manage cloud infrastructure, CI/CD pipelines, and containerized deployments across Azure and GCP.
• Design robust data pipelines (ETL/ELT), data models, and analytics reporting across modern and legacy data stores.
• Integrate AI tools, agentic workflows, and smart analytics into existing systems to streamline processes.
• Support enterprise applications (Oracle ERP, SAP) across Claims, Risk, and Financial management domains.
• Collaborate with cross-functional teams in an Agile/Scrum environment, leading sprint deliverables and technical architecture.

Skills

Full-stack development

Cloud infrastructure

Automation testing

Data engineering

Enterprise systems

Agile/Scrum

Tools

Selenium

Playwright

Robot Framework

JUnit

TestNG

Katalon Studio

Tosca

Worksoft

JMeter

Postman

Swagger

GitHub Copilot

Generative AI

Agentic AI

Prompt Engineering

Job description

About the Role

We are looking for a Senior Technical Resource to join our engineering team. In this role, you will work across full-stack development, cloud infrastructure, automation testing, data engineering, and enterprise systems. You will lead technical design, drive automation, and leverage AI-assisted development tools to build scalable enterprise solutions.

Key Responsibilities

• Design, develop, and maintain high-performance full-stack web applications and microservices.
• Build, execute, and scale end-to-end automated testing frameworks across frontend, backend, and API layers.
• Architect and manage cloud infrastructure, CI/CD pipelines, and containerized deployments across Azure and GCP.
• Design robust data pipelines (ETL/ELT), data models, and analytics reporting across modern and legacy data stores.
• Integrate AI tools, agentic workflows, and smart analytics into existing systems to streamline processes.
• Support enterprise applications (Oracle ERP, SAP) across Claims, Risk, and Financial management domains.
• Collaborate with cross-functional teams in an Agile/Scrum environment, leading sprint deliverables and technical architecture.

Technical Requirements

• Databases & Data Engineering: SQL Server, Oracle, Snowflake, BigQuery, SSIS, Talend MDM, Dataflow, Data Fusion, Data Architecture, ETL
• Analytics & Reporting: Power BI, SSRS, Crystal Reports, Smart Analytics, ML with BigQuery
• Automation & API Testing: Selenium, Playwright, Robot Framework, JUnit, TestNG, Katalon Studio, Tosca, Worksoft, JMeter, Rest Assured, Karate, Postman, Swagger
• AI & Advanced Tech: GitHub Copilot, Generative AI, Agentic AI, Prompt Engineering, Data Science Methodologies
• Enterprise Platforms & Tools: Oracle ERP, SAP Modules, JIRA, ServiceNow, Remedy

Qualifications & Domain Expertise

• Strong experience in enterprise domain applications: Claims Management, Risk Management, Financials, Auditing, and Telecom Claim Processing.
• Proven track record as a Business Analyst or Agile Scrum Master leading cross-functional delivery teams.
• Hands-on experience driving software engineering best practices, design patterns, and test automation strategies.