Eureka Labs

• Ensure the delivery of high-quality software through practical and risk-based testing. • Validate key user flows, APIs, and data behavior while helping the team build quality into the product. • Design and execute test strategies combining manual and automated testing. • Create and maintain automated test suites for critical flows. • Validate functional, regression, integration, and end-to-end scenarios. • Support testing of multi-role and permission-based user scenarios. • Support testing of authentication flows (OAuth2/OIDC). • Perform API testing and validate responses, permissions, and error handling. • Validate data integrity and expected system behavior. • Collaborate with developers to identify defects early and improve quality practices. • Help prioritize testing efforts based on business risk and delivery priorities.

• Design, build, and maintain full-stack solutions across frontend, backend, APIs, and integrations. • Develop and support growth-related initiatives, experiments, and internal tools. • Design measurement systems and analytics architecture, not just implement tracking requirements. • Work across multiple systems and technologies to solve business and product challenges. • Collaborate closely with product, growth, and leadership stakeholders to identify opportunities and implement solutions. • Design and improve analytics, tracking, and measurement systems to support data-driven decision-making. • Implement and maintain integrations with third-party platforms and services such as Stripe, analytics tools, and external APIs. • Contribute to architectural and technical decisions with a pragmatic and scalable mindset. • Operate effectively in an environment with evolving priorities and limited structure. • Take ownership of initiatives from discovery through implementation and iteration. • Continuously evaluate and improve processes, tooling, and system efficiency.

• Design, build, and maintain scalable data pipelines and data platforms using Databricks, Spark, Python, SQL, and cloud technologies • Develop, optimize, and support both batch and streaming data processing solutions • Implement and maintain reliable, secure, and high-performance data workflows, including orchestration, monitoring, and operational support • Build and evolve data lake and lakehouse solutions to support analytics, reporting, and machine learning initiatives • Collaborate with architects, data engineers, data scientists, analysts, and business stakeholders to translate requirements into scalable technical solutions • Ensure data quality, integrity, availability, and performance across data platforms and pipelines • Contribute to the definition and adoption of data engineering standards, best practices, and design patterns • Participate in software development lifecycle activities, including source control, testing, CI/CD, deployment, and operational support • Evaluate emerging technologies, tools, and best practices to continuously improve the data platform • Provide technical guidance and mentorship to junior engineers when needed

• Architect, implement, and optimize real-time streaming and media components using WebRTC, Mediasoup, FFmpeg, RTMP, and HLS • Design and maintain the video processing pipeline, focusing on quality, latency, and scalability • Collaborate with the team on full-stack application development using Node.js and Typescript to support the core media platform • Identify and troubleshoot complex issues related to media capture, encoding, transport, and playback across various platforms • Contribute to architectural decisions for streaming protocols, media servers, and cloud infrastructure • Write reliable, tested, high-performance media code and support continuous integration and deployment • Review code, share best practices, and mentor peers to strengthen the team’s technical culture • Stay informed on emerging development trends in the video/streaming space.

• Write automated tests to ensure error-free code and performance. • Improve front-end performance by eliminating performance bottlenecks. • Create front-end modules with maximum code reuse and efficiency. • Implement clean, fluid animations to provide an excellent user interface. • Passionate about the PR review process and assisting fellow teammates in improving overall code quality.

• Work closely with product and design teams to develop web applications. • Collaborate with a team to define, design, and ship new features. • Design, build, and maintain high-performance, reusable, and reliable backend code using Python. • Contribute industry best practices and technology to developing and maintaining software applications. • Help maintain code quality by implementing bug fixes and code reviews. • Design, build, and automate high-quality tests that scale with app growth. • Conduct code reviews, develop high-quality documentation, and build robust test suites for your products. • Respond to and troubleshoot highly complex problems quickly, efficiently, and effectively.

• Develop and maintain backend services using Java and Spring Boot. • Design and implement scalable, secure, and high-performance REST APIs. • Own complex integrations such as utility authentication flows (OAuth, SAML, OpenID Connect). • Build core business logic related to consent, authorization, and access management. • Collaborate with frontend, QA, and product stakeholders to define contracts and workflows. • Ensure code quality through automated testing, code reviews, and engineering best practices. • Optimize backend performance, reliability, and observability. • Contribute to architecture and technical design decisions. • Support deployment and production readiness activities when needed.

• Build scalable and maintainable frontend applications using modern frameworks (Svelte preferred) • Translate UX/UI designs into high-quality, reusable, and accessible code • Develop responsive interfaces optimized across devices and browsers • Implement key user flows such as authentication, consent, dashboards, and data access experiences • Collaborate closely with UX/UI designers, backend engineers, QA, and product stakeholders • Maintain consistency through reusable components and design system principles • Apply best practices in frontend architecture, state management, and performance optimization • Integrate with backend APIs securely and efficiently • Participate in code reviews and continuous improvement initiatives

• Design, train, evaluate, and deploy machine learning models for real-time and near–real-time applications. • Partner with the Senior Cloud Engineer to deploy models within cloud pipelines. • Collaborate on the design and optimization of data pipelines used for model training, inference, and monitoring. • Establish metrics for model performance, data drift, and system health. • Analyze the impact of new features and model changes in production environments. • Work closely with cloud, perception, and UI engineering teams to integrate ML outputs into customer-facing products.

• Ensure consistency in architectural and technical decisions • Manage and support Data Engineering team • Support project kick-offs, lifecycles, and roadmaps • Create and maintain Jira cards and documentation • Conduct code reviews and pair programming • Verify the Definition of Done • Oversee project stream, communication, and issue management