Jobs at 3Pillar Global

Lead client-facing product efforts: define vision, prioritize roadmap, coordinate distributed engineering and program teams, drive releases, measure KPIs, run user research and workshops, advise clients strategically, and improve product accessibility and usability.

As a Senior Software Engineer, you will develop high-quality software applications, mentor teams, and drive project deliveries while collaborating with various stakeholders.

Design, build, and maintain batch and real-time data pipelines and ETL/ELT processes using Oracle and cloud data platforms. Optimize SQL and stored procedures, ensure data quality and compliance, automate data workflows, analyze data, and mentor junior engineers.

Lead improvements across multiple repositories to document code, raise AWS infrastructure test coverage to 90%, and implement maintainable automation and CI/CD standards. Architect and manage secure, scalable cloud environments (AWS/Azure), develop Infrastructure-as-Code (Terraform/CDK), containerization (Docker/Kubernetes), monitoring/logging, and mentor teams while supporting on-call and global hours alignment.

Design, build, and maintain batch and real-time ETL/ELT data pipelines and workflows. Automate ingestion, aggregation and logging; ensure data accuracy, security, and compliance. Implement data warehouse and lake solutions, mentor junior engineers, and collaborate with stakeholders to meet business requirements.

Lead design and delivery of scalable, secure enterprise applications using .NET, Azure, and Angular. Communicate with stakeholders, estimate work, produce performant and testable code, follow SOLID/OWASP practices, participate in Agile ceremonies, mentor engineers, and independently drive projects from concept to deployment.

Lead design and implementation of scalable, secure Python-based distributed systems and AI/agentic workflows using LLMs. Own features from design to production, remediate technical debt, ensure code quality and SCA remediation, collaborate with product and engineering leadership, and maintain documentation and observability.

Design, implement, test, and maintain high-quality Python backend services and REST APIs. Ensure security via SCA, participate in code reviews, own technical designs, estimate and report status, document requirements, and collaborate with cross-functional teams to deliver scalable, production-grade systems.

Lead development of scalable, secure enterprise applications using .NET, Azure, and Angular. Communicate with clients, estimate and plan work, follow agile practices, mentor engineers, ensure testable and performant code, and drive delivery from design through deployment.

Lead and guide technical direction and implementation across the team, validate and influence architecture, drive documentation and repository practices, perform code reviews and complex bug fixes, mentor engineers, collaborate with product/design, and support CI/CD and cloud-native, secure, scalable enterprise solutions.

Design and architect scalable, high-performance .NET/.NET Core applications on Azure using microservices and REST APIs. Lead HLD/LLD, implement Azure services (Functions, App Services, Service Bus, API Management), databases (SQL Server/Azure SQL), CI/CD with Azure DevOps, and apply design patterns and AI tools. Provide troubleshooting, stakeholder communication, and technical leadership.

Design, implement, optimize, and deploy ML and NLP models into production. Perform data preprocessing, experiments, analysis, and reporting. Maintain model documentation, apply MLOps/CI-CD, and communicate findings to stakeholders while staying current on AI research and ethics.

Lead design and build scalable Azure-based data platforms and lakehouse architectures using Microsoft Fabric, Azure SQL, and Power BI. Architect ETL/ELT pipelines, medallion layering, CDC, and AI-ready pipelines for embeddings and feature stores. Lead migrations from legacy systems, mentor engineers, enforce governance/security (PII, multi-tenant), optimize performance, and drive adoption of AI-assisted tooling and best practices across analytics projects.

Lead design and delivery of Azure-based data lakehouse platforms and ETL/ELT pipelines. Architect Microsoft Fabric reporting, ensure PII-safe multi-tenant analytics, migrate legacy systems, build AI-ready pipelines, mentor engineers, and drive governance, performance optimization, and adoption of GenAI-assisted tooling.

Lead technical direction and implementation of Salesforce solutions across the SDLC. Mentor engineers, contribute to architecture, ensure security/performance, implement Apex/LWC, integrations, async processing, and CI/CD deployment practices. Own code reviews, documentation, testing, and collaborate with product and design teams to deliver scalable enterprise systems.

Lead design and delivery of Azure-based data platforms and Lakehouse architectures (Microsoft Fabric, Azure SQL, Power BI). Build scalable ETL/ELT pipelines, medallion-layered models, and AI-ready data feeds (embeddings/feature stores). Drive migrations from legacy systems, enforce governance and PII protection, mentor engineers, perform code reviews, optimize performance, and collaborate with product and business stakeholders to deploy analytics and reporting solutions.

Lead architecture and delivery of full‑stack solutions, develop high-quality React-based client code, design/consume REST APIs, mentor engineers, participate in agile ceremonies, perform estimation, enforce best practices for scalability, security, testing, and deployment.

Lead design and delivery of scalable, secure React/TypeScript applications; communicate with clients; estimate and plan work; implement performant, testable code; mentor engineers; follow agile practices and architecture standards from concept through deployment.

Lead full‑stack development and architecture for client projects: build scalable, secure React/Node applications, estimate and plan work, gather requirements, mentor engineers, drive delivery, and participate in Agile governance and engineering practice communities.

Lead technical decision-making and architecture for enterprise AI and software products. Own high-level designs, enforce coding and architectural standards, collaborate with engineering teams, and participate hands-on in development. Drive SDLC, DevOps/CI-CD practices, REST API designs, and high-level modeling (UML/C4/ArchiMate).