Jobs at 3Pillar Global

Facilitate Scrum ceremonies, remove team impediments, coach teams on Agile principles, promote continuous improvement, manage conflicts, track KPIs, and communicate project status, risks, and issues to stakeholders. The role supports collaborative delivery of high-quality products on schedule and requires strong analytical, communication, facilitation, and problem-solving skills.

Develop and deliver scalable, secure, high-performance enterprise software using Node.js, React, React Native, microservices, and related technologies. Responsibilities include feature development, responsive component implementation, notification workflows, offline-capable client actions, testing, agile delivery, requirements gathering, client communication, project estimation, technical documentation, and mentoring engineers.

Develop scalable, secure, high-performance full-stack and mobile applications using Node.js, React, React Native, and cloud technologies. Build microservices, APIs, data persistence, integrations, encryption, and automated tests for enterprise platforms. Participate in agile planning, architecture, client communication, code reviews, project delivery, and technical mentorship. Depending on focus, work with native iOS or Android architectures, offline synchronization, AWS services, relational databases, and multi-tenant systems.

Lead Full Stack Engineer responsible for developing scalable web and mobile applications using Node.js, TypeScript, React.js, and React Native. The role requires designing maintainable systems, applying clean-code and OWASP practices, conducting code reviews, mentoring engineers, and leading technical initiatives. Candidates need experience with TypeORM, Jest, SQL, and either native iOS development with Swift and SwiftUI or Android development with Kotlin and Jetpack Compose. PostgreSQL, Docker, cloud platforms, and CI/CD experience are advantageous.

Develop and modernize a scalable cloud platform using Python, React, and AWS. Own architecture, technical designs, production deployments, technical-debt remediation, security remediation, testing, documentation, and code reviews. Build reliable AI and agentic workflows with LLMs, responsive frontend features, and distributed backend services. Collaborate with Product and Engineering leadership, manage Docker and Kubernetes deployments, track project status, and use GitHub Copilot and spec-driven development in an AI-assisted workflow.

Develop and modernize scalable Python and React applications on AWS. Design distributed systems and AI agentic workflows, remediate technical debt, improve security and observability, and own features from architecture through production launch. Collaborate with product and engineering leadership, write technical specifications and documentation, participate in code reviews, and use GitHub Copilot within an AI-assisted development workflow.

Develop and modernize a scalable cloud platform using Python, React, and AWS. Design distributed systems, AI and agentic workflows, and reliable frontend and backend services. Own features from technical design through production launch, address technical debt, ensure application security, participate in code reviews, and collaborate with Product and Engineering leadership. Use GitHub Copilot and spec-driven development while maintaining documentation, testing, observability, and quality standards.

Develop and maintain Python and SQL-based data and cloud migration frameworks for moving on-premise assets to Snowflake and Azure. Build scalable software and data engineering solutions, improve infrastructure, participate in Agile planning and code reviews, document requirements, and own projects through launch. Collaborate with engineers, designers, managers, and financial-sector users while applying modern practices including testing, continuous delivery, and cloud deployment.

Develop and maintain Python-based data and cloud migration frameworks for Snowflake and Azure. Migrate databases, stored procedures, analytic scripts, and potentially web applications to cloud platforms. Build scalable software solutions, participate in Agile delivery, testing, code reviews, technical design, requirements gathering, documentation, and technology evaluation. Collaborate with engineers, designers, managers, and financial-market users while maintaining quality, reporting progress, and owning projects through launch.

Develop and maintain Python and SQL data engineering solutions, including frameworks for migrating on-premise assets to Snowflake and Azure. Build, enhance, test, and deploy scalable software and data systems using cloud, container, and DevOps technologies. Participate in Agile planning, code reviews, documentation, technology evaluation, requirements gathering, and project estimation. Collaborate with engineers, designers, managers, and capital markets users while owning projects from technical design through launch.

Develop and maintain Python software and data migration frameworks for moving on-premise assets to Snowflake and Azure. Build scalable backend and frontend solutions, improve infrastructure, apply testing and software engineering standards, participate in Agile ceremonies and code reviews, document requirements, investigate technologies, and own projects from design through launch while collaborating with cross-functional teams.

Lead design and implementation of Python-based backend services and APIs on AWS for a clinical research platform. Architect PostgreSQL schemas and performance tuning, build Kubernetes (EKS) infrastructure, manage cloud integrations, define coding and security standards, mentor engineers, and drive delivery through agile practices from design to production.

Develop and maintain enterprise AI products and intelligent agents using Python, JavaScript, SQL, REST APIs, AWS, and Docker. Responsibilities require advanced SQL schema design, performance tuning, stored procedures, object-oriented programming, API development, version control, and cloud-based software engineering. The role operates within globally distributed, remote-first delivery teams serving enterprise clients across multiple industries.

Develop and maintain Python software and data migration frameworks for moving on-premise assets to Snowflake and Azure. Build scalable frontend and backend solutions, improve infrastructure, apply testing and software engineering standards, participate in Agile planning and code reviews, gather requirements, document designs, and lead projects from technical design through launch.

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).

Design, build, and own scalable, secure full-stack applications. Collaborate with engineers, designers, and managers to gather requirements, estimate work, maintain documentation, and deliver high-quality client-facing software using Agile practices.

Lead React Native feature development and migrate JS to TypeScript. Build offline-first capabilities, integrate native iOS/Android modules, use Expo/EAS for CI/CD, design GraphQL data flows, work with Redux/RTK, review code, mentor juniors, and collaborate with cross-functional teams to deliver high-quality mobile experiences.

Design, implement, and maintain performant, testable full-stack applications. Collaborate with designers and product managers to gather requirements, estimate work, produce documentation, and deliver scalable frontend and backend systems. Provide status reporting, follow Agile practices, and take ownership from technical design through launch.

Design and build scalable data models and pipelines for scientific instrument data. Implement custom file parsers, unit/integration tests, and reusable utilities. Perform dataset comparisons, create visualizations and dashboards (Streamlit, Tableau, Jupyter), and collaborate with product and engineering teams to deliver AI-enabled data solutions.

Design and build scalable data pipelines and models for scientific instrument data; implement custom parsers for diverse file formats; create unit/integration tests and utility libraries; analyze datasets to design shared data model components; produce visualizations, reports, and interactive dashboards.