• Develop, maintain, and enhance complex software systems. • Write and review code ensuring high standards of quality, maintainability, re-usability, and test coverage • Analyze a set of business requirements, break them into technical features and tasks, and visualize how the different aspects of the system will come together through data structures, APIs, etc. • Be a member of a cross-functional team with members including user experience professionals, product managers, engineers, and other functional specialists • Craft technical solutions across the entirety of a system, including UI development, API development, and everything in between • Design and optimize data models using both Postgres (relational) and DynamoDB (NoSQL) to ensure high availability and performance • Advocate for and use modern software engineering best practices such as API-first design, continuous integration, version control, accessibility, and automated testing • Build cloud-focused applications leveraging AWS services: specifically, Lambda, API Gateway, and Amplify • Define infrastructure through code using CloudFormation, CDK, or SAM • Maintain and improve deployment pipelines to ensure seamless, reliable releases • Analyze systems to identify technical debt, instability, unreliability, and other opportunities for improvement, and design, document, and communicate solutions • Represent Blue Tiger's culture of delivery when interacting with government stakeholders and other contractors

• Atuar na área de Desenvolvimento de Sistemas, compreendendo e executando todas as etapas do desenvolvimento. • Aplicações em .NET Framework e .NET Core • Forte integração com SQL Server e serviços AWS (Lambda, DynamoDB, SQS, SNS, entre outros). • Usar um pouco de Python, Node JS e outras tecnologias Front-End, além de bancos NoSQL. • Valorizamos profissionais com experiência prática em sistemas de alta escala, boa lógica de programação e capacidade de resolução de problemas em ambientes produtivos.

• Design, develop, and operationalize high-performance, scalable, reliable, and resilient systems for the Confluent Cloud network data plane platform. • Independently drive the execution of ambiguously scoped cross-team software projects, ensuring the delivery of complex projects in production with a focus on quality. • Leverage cloud providers to deliver impactful business solutions. • Troubleshoot and improve operations for a complex technical stack that spans across AWS, Azure, and GCP, including microservices, containers, and virtualization.

• Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (CUPED, Winsorization), power analysis. Ensure statistical correctness across all experiment types. • Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. • Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. • Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. • Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. • Mentor engineers and raise the team's bar for statistical rigor and system design. • Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting.