Lean Tech

Business Intelligence Analyst

• Design and maintain interactive dashboards using Power BI, ensuring clarity and usability for stakeholders
• Develop and deliver reports by extracting, transforming, and visualizing data using Power BI and Tableau to support business intelligence initiatives
• Write basic SQL queries to retrieve and prepare data from relational databases for reporting purposes
• Utilize Excel to manipulate and report data, ensuring accuracy and consistency in all analyses
• Collaborate with business users to identify reporting requirements and create tailored solutions that meet their analytical needs
• Validate and ensure the accuracy, consistency, and reliability of data across all dashboards and reports
• Support ad-hoc reporting requests and provide actionable insights to enable informed decision-making
• Assist in performance optimization of dashboards and reports for improved end-user experience

Mid-Level Reporting Analyst

Backend Engineer

• Design, build, and maintain robust, user-focused web applications across the full technology stack using React.js, Node.js, TypeScript, and SQL
• Collaborate within multinational Scrum teams and participate in sprints, daily stand-ups, and planning sessions
• Develop and maintain data models and integrations with databases using SQL, Knex.js, and knowledge of MongoDB and Microsoft SQL
• Build, document, and maintain APIs for integration with front-end, back-end, and third-party services
• Participate in code reviews and uphold coding standards
• Troubleshoot, debug, and resolve technical issues across the application stack
• Write and maintain unit tests
• Contribute to project planning and estimation
• Develop and maintain clear technical documentation
• Continuously learn and adapt to new technologies and tools

Mid Full Stack Developer, React/Node.js

Data Engineer

• Design, build, and optimize advanced ETL/ELT pipelines and data integration workflows across the Microsoft Azure ecosystem
• Leverage Azure Data Factory, Azure Fabric, Azure Data Lake, and SQL Server to modernize, migrate, and maintain data systems
• Implement and maintain medallion architecture (bronze/silver/gold) to structure data for downstream analytics
• Establish data quality assurance processes: validate, monitor, troubleshoot, and performance tune data pipelines
• Integrate and manage REST APIs and data flows within the Microsoft environment
• Contribute to pipeline orchestration and monitoring using ADF, Azure Databricks, Azure Functions, and Logic Apps
• Develop and utilize advanced SQL and Python (including Azure SDK for Python) to process and automate data workflows
• Document data models, pipeline architecture, and integrations to support transparency and scalability
• Contribute to ongoing data platform re-architecture and modernization initiatives
• Collaborate in Agile teams with Data Scientists, BI teams, and stakeholders; participate in sprint planning and daily stand-ups
• Implement systems and best practices to monitor data quality, ensure data integrity, and manage data security
• Automate data collection, processing, and reporting to improve operational efficiency
• Stay current with evolving Azure data and analytics technologies and industry best practices

Senior Data Engineer

Full-stack Engineer

• Design, implement, and manage advanced cloud infrastructure on AWS using AWS CDK and CloudFormation
• Develop and maintain scalable, secure APIs using C# and AWS Lambda
• Optimize application performance, scalability, and security within AWS
• Collaborate with cross-functional teams for system and data pipeline integration
• Implement and maintain CI/CD pipelines using GitHub Actions
• Manage data migration and storage solutions using AWS DMS and S3
• Ensure robust authentication and authorization using AWS Cognito
• Participate in code reviews and mentor junior developers
• Develop responsive user interfaces with ReactJS, TypeScript, and Material-UI

Senior Software Engineer

• Collaborate with product, design, and engineering teams to address user needs across multiple platforms, leading strategic initiatives and ensuring seamless experiences for Resident, Board, Front Office, and Back Office users
• Design and develop responsive, intuitive web applications using Angular (v10+) and .NET Core/C#, leveraging advanced expertise in TypeScript, C#, ASP.NET Web API, and Entity Framework
• Collaborate with distributed team members to design, implement, and release features, ensuring team alignment with company goals and agile Scrum / Kanban practices
• Conduct thorough testing, identify and resolve bugs and performance issues, and optimize performance throughout the application stack
• Write clean, scalable code following established best practices and maintain high standards for code quality
• Perform and oversee code reviews, mentor team members, and actively contribute to the professional development of fellow developers
• Develop and integrate RESTful APIs using .NET WebAPI to enable effective communication between frontend and backend systems
• Influence architectural decisions, contribute significantly to design discussions, and support the ongoing evolution of the platform
• Utilize familiarity with CI/CD tools and Git for effective code integration and deployment
• Promote a culture of continuous learning, innovation, and knowledge sharing within the team

Senior Full Stack Engineer

• Lead the design, development, and maintenance of scalable, secure backend systems using Java and Spring Boot with GCP services.
• Implement and optimize microservices architecture to enhance scalability, performance, and reliability.
• Conduct software analysis, integration, and unit testing; optimize code and ensure quality.
• Address and resolve support requests within defined SLAs for backend services.
• Develop and maintain APIs (RESTful, gRPC, GraphQL).
• Utilize CI/CD pipelines for deployment and integration.
• Write clean, maintainable, well-documented code adhering to standards.
• Troubleshoot, debug, and enhance performance and stability of backend systems.
• Collaborate with frontend and DevOps teams to define and implement new features.
• Stay updated on emerging technologies and contribute ideas to improve tech stack and security practices.

Senior Backend Engineer, Java

• Lead the design, development, and maintenance of serverless backend systems using Node.js and AWS services (Lambda, DynamoDB, ECS, RDS)
• Implement and refine microservices architecture to enhance scalability, performance, and reliability
• Conduct code reviews and software analysis with focus on Node.js and Express
• Manage support requests within ticketing systems to facilitate timely transaction processing and issue resolution
• Develop and maintain APIs using GraphQL
• Establish and optimize CI/CD pipelines using tools like GitHub/GitLab
• Collaborate with frontend, DevOps, and other teams to define and implement new features
• Monitor application performance and troubleshoot issues to improve stability
• Research and integrate new technologies (Docker, Kubernetes, Terraform, CloudFormation) to improve backend tech stack
• Contribute to evolution of modern software development practices and lead high-profile projects

Senior Backend Engineer, Node

• Design, develop, and maintain efficient, reusable, and reliable full-stack code using Java (SpringBoot) on the backend and React on the frontend
• Collaborate with cross-functional teams to define, design, and implement new features that meet user requirements and business goals
• Ensure high application performance, quality, and responsiveness by troubleshooting bottlenecks and implementing effective solutions
• Maintain code quality and consistency through best practices, design patterns, and automated testing
• Participate in code reviews and provide mentorship to junior team members
• Work closely with stakeholders to understand technical requirements and provide innovative solutions to meet project objectives

Mid-Level Full-Stack Developer

Data Scientist

• Design, build, and optimize advanced machine learning models for demand forecasting, customer transcript analysis, marketing ROI optimization, and product return prediction
• Develop and maintain data processing and ETL pipelines using Python and SQL for data manipulation, automation, and integration with ML workflows
• Leverage Microsoft data and AI technologies (Azure Fabric, Azure Machine Learning, AutoML, Azure Data Lake, SQL Server, NoSQL, Copilot Studio)
• Use Azure Data Factory to orchestrate data pipelines and automated model training processes
• Partner with data engineers to prepare and structure data following medallion architecture (bronze, silver, gold layers)
• Perform data preprocessing, feature engineering, and statistical analysis to ensure high-quality model inputs
• Evaluate, test, and refine models for accuracy, scalability, and business impact; implement automated testing, CI/CD, and model monitoring for production readiness
• Integrate and visualize model outputs and insights using Power BI, Tableau, and Looker; apply data warehousing concepts for reporting
• Write advanced analytic queries and optimize SQL performance on large-scale data platforms
• Collaborate with cross-functional teams (engineering, BI analysts, business leaders) to translate data insights into business strategies
• Adhere to software engineering best practices including Infrastructure as Code, modularity, code quality, and maintainability
• Stay current with advancements in AI, machine learning, and the Microsoft ecosystem to improve solutions

Senior Data Scientist

• Design, implement, and manage cloud infrastructure on AWS using AWS CDK and CloudFormation, optimizing for efficiency and scalability.
• Develop and maintain scalable, secure APIs using C# and AWS Lambda, with a focus on serverless architecture.
• Optimize application performance, scalability, and security within AWS by leveraging best practices and monitoring tools.
• Collaborate with cross-functional teams for seamless integration and alignment of backend systems and data pipelines.
• Implement and maintain CI/CD pipelines using GitHub Actions to streamline development workflows.
• Manage data migration and storage solutions effectively using AWS services like DMS and S3.
• Ensure robust authentication and authorization practices using AWS Cognito.
• Participate in code reviews and provide mentorship to junior developers, fostering a culture of learning and development.

Senior Backend Developer

DevOps Engineer

• Design, implement, and maintain AWS infrastructure using Infrastructure as Code (Terraform) to support our multi-tenant SaaS platform across development, staging, and production environments.
• Manage and optimize containerized applications on AWS ECS and design Kubernetes deployment strategies, including Helm charts, operators, and GitOps workflows.
• Ensure efficient resource utilization and auto-scaling for JVM-based Spring Boot applications and Node.js services, and assist with migrating and implementing Kubernetes clusters for core platform services.
• Implement and maintain API gateway integrations (Azure, AWS, MuleSoft, Kong, Gravitee, Envoy) to support metering and monetization of AI/API traffic, collaborating with engineering teams on plugin and policy deployment.
• Enhance and maintain CI/CD pipelines (CircleCI) to enable rapid, reliable deployments with zero downtime, including rolling updates, blue-green deployments, and automated rollback strategies.
• Implement comprehensive monitoring, logging, and alerting using CloudWatch, OpenTelemetry, and other tools to ensure rapid incident detection and resolution.
• Optimize system performance across distributed architectures, including Apache Flink, Kafka streaming (MSK), and Redis caching layers, ensuring high availability and disaster recovery.
• Implement and maintain security best practices, including network isolation, secret management, and runtime security scanning, while supporting compliance requirements for enterprise customers.
• Develop automation scripts and tools to streamline operational tasks, reduce manual effort, and improve overall team productivity.
• Collaborate with cross-functional teams to evolve distributed systems, API monetization frameworks, and platform architecture, taking ownership of high-impact technical initiatives.