Develop and deliver new features for a mobile application while implementing MVVM architecture and asynchronous programming. Collaborate within a distributed international team to maintain high coding standards and perform regular code reviews.
The Business Analyst will conduct stakeholder interviews and perform a feature inventory to define the MVP scope for a new Member Management System. They will document business rules, workflows, and dependencies while facilitating scoping workshops to ensure the final recommendation aligns with operational needs.
Provide hands-on Go engineering support to accelerate feature delivery and improve code quality across multiple domains. Enhance agentic development workflows, tools, and patterns to increase agent autonomy and reduce human intervention.
Implement, test, and maintain backend components and services using Java and Spring Boot while collaborating with senior team members. Participate in the CI/CD process and troubleshoot production issues to ensure application reliability and performance.
Design, develop, and maintain scalable cloud-native full-stack applications to support clinical operations and patient workflows. Collaborate with cross-functional teams to migrate business capabilities from legacy systems while ensuring HIPAA compliance and system security.
The Business Analyst will gather and clarify requirements while analyzing system behavior and integrations for a cloud-based healthcare application. They will collaborate with cross-functional teams to write user stories, define acceptance criteria, and facilitate communication between technical and non-technical stakeholders.
Design, develop, and maintain scalable full-stack applications using Python and React to support clinical and operational healthcare workflows. Collaborate with cross-functional teams to migrate business capabilities from legacy systems to a modern, cloud-native AWS platform.
The Integration Engineer will design, build, and maintain scalable data flows and integration pipelines across enterprise systems including ERP, HRIS, and FinOps platforms. They will also implement automation scripts, manage CI/CD processes, and ensure system reliability through monitoring and observability.
Contribute to the design, implementation, and operation of production systems and data center networks with a focus on automation. Collaborate with developers to resolve operational issues and maintain monitoring and alerting solutions.
The DevOps Engineer will build, maintain, and improve cloud infrastructure using Infrastructure as Code while creating and supporting CI/CD pipelines. They will also manage containerized applications, configure monitoring and logging, and collaborate with distributed teams to resolve technical issues.
Develop and maintain Android applications using Kotlin while building modern UI components with Jetpack Compose. Ensure code quality through unit testing and integrate third-party libraries into mobile solutions.
The Business Systems Analyst will collaborate with stakeholders to translate business needs into functional and technical requirements for complex system integrations. They will also analyze existing systems to identify gaps and support the investigation of integration and data-related issues.
The Project Manager will oversee the delivery of engineering projects by establishing roadmaps, managing risks, and facilitating Agile ceremonies. They will coordinate cross-functional teams and drive continuous improvement to ensure high-quality software releases.
Lead and mentor two GenAI teams in developing conversational agents while managing roadmaps and project delivery. Collaborate with cross-functional stakeholders to implement innovative AI-driven solutions and integrate them into the platform.
You will design, deploy, and govern secure multi-cloud infrastructure across Azure, AWS, and GCP while managing hybrid connectivity and IT/OT network segmentation. Additionally, you will build automated CI/CD pipelines, implement FinOps practices, and develop self-service platform capabilities for internal engineering teams.
Develop and deploy conversational AI agents and AI-driven platform capabilities from design to production. Research advanced AI technologies and integrate external APIs to enhance advertising campaign analytics and automation.
Lead the architecture and hands-on development of a scalable computer vision platform to improve Overall Equipment Effectiveness across global manufacturing plants. Collaborate with stakeholders to design a repeatable solution that integrates cameras, edge devices, and cloud services.
Develop and modernize high-performance, real-time DSP serving services to process millions of bid requests per second. Focus on splitting a monolith into microservices and transitioning measurement pipelines from batch to real-time streaming using Kafka.
Develop and maintain scalable backend services and web applications using Node.js and PHP for an AdTech platform. Collaborate with product and engineering teams to implement features and optimize system architecture for high-volume distributed systems.
Build, operate, and scale containerized data infrastructure on Kubernetes and Linux-based systems. Develop automation tooling in Python and ensure the reliability and performance of distributed data processing engines like Spark.
Develop advanced platform features and scalable frontend and backend components for digital media analytics tools. Optimize backend services for large-scale data processing and real-time analytics across AWS and on-premises environments.
Develop and maintain scalable frontend and backend components for a digital media platform focusing on audience insights and real-time analytics. Collaborate with product managers and data scientists to implement advanced features and optimize high-throughput data processing services.
Take full ownership of backend services from design and development through deployment and maintenance. Architect scalable, high-performance distributed systems to support millions of users with low latency.
Develop high-quality, scalable enterprise code for IoT access control platforms using Agile methodologies. Collaborate with cross-functional teams including infrastructure, database, and frontend to deliver platform enhancements.
Lead the design, development, and deployment of scalable ML services while architecting AI solutions and ensuring model quality. Act as an AI project jumpstarter to define architectures, build prototypes, and mentor junior engineers.
