Senior Software Engineer - Cloud-Native Data & Analytics

eNGINE; Pittsburgh (Allegheny County); On-site; USD 120,000 - 165,000; Full time

Job summary

eNGINE is seeking a Sr Software Engineer to lead the technical direction of our cloud-native SaaS platform in Pittsburgh. You will design architecture, write production code, and mentor the engineering team as we modernize from monoliths to microservices and micro frontends.

The role is hands-on, split roughly 50/50 between frontend and backend work, with a strong emphasis on Java API design, cloud services, and data pipelines.

Qualifications

• Strong hands-on development across full stack.
• Back-end Java with API design and distributed systems focus.
• Experience with micro frontend architectures.
• Proficiency with cloud-native Azure services (AKS, Functions).
• CI/CD using Azure DevOps or GitHub Actions.
• Willingness to write and own tests.
• Experience with data is a plus.

Responsibilities

• Define Azure-first, API-driven architecture standards for multi-tenant SaaS applications.
• Design and build APIs and microservices on AKS and Azure Functions.
• Build data pipelines using Snowflake and Azure data services, including dbt ingestion/transformation.
• Set standards for tenant isolation, observability, and cost governance.
• Define SLIs/SLOs and contribute to incident response and postmortems.
• Collaborate with Product, QE, SRE, Security, and Compliance teams; present architecture trade-offs.
• Guide the team through moving from monoliths to microservices and micro frontends.

Skills

Java backend

API design

Distributed systems

Micro frontend

Azure cloud

CI/CD

Testing

Data pipelines

Tools

AKS

Azure Functions

dbt

Snowflake

GitHub Actions

Azure DevOps

Job description

eNGINE is seeking a Sr Software Engineer to lead the technical direction of our cloud-native SaaS platform in Pittsburgh. You will design architecture, write production code, and mentor the engineering team as we modernize from monoliths to microservices and micro frontends.

The role is hands-on, split roughly 50/50 between frontend and backend work, with a strong emphasis on Java API design, cloud services, and data pipelines.