The engineer will design, develop, and maintain automated tests for web, API, and mobile applications while performing manual testing as needed. They will also collaborate with cross-functional Agile teams to ensure high-quality software delivery and continuous process improvement.
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.
Develop and maintain iOS applications using Swift, SwiftUI, and UIKit components. Implement reactive programming with Combine and ensure code quality through unit testing.
Provide technical leadership to a team of data engineers while designing and building scalable data pipelines and products on Snowflake. Collaborate with BI and Data Governance teams to migrate existing logic and ensure high data quality standards.
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.
Build and maintain scalable data pipelines and products within a Snowflake-based platform. Migrate existing Alteryx workflows into governed, production-ready data solutions while collaborating with BI and Data Governance teams.
The Data Engineer will build and scale a Snowflake-based data platform while migrating existing Alteryx workflows into governed, production-ready data products. Responsibilities include developing transformation logic with dbt, maintaining orchestration workflows, and implementing data quality monitoring.
Design and maintain BigQuery pipelines for operational and analytics use cases while developing software components for data import, export, and synchronization. Automate data processing tasks using Google Cloud services and coordinate data migration activities across teams.
The DevOps Engineer will maintain and scale production infrastructure while automating services to support software engineering teams. They will collaborate with developers to troubleshoot issues and provide technical guidance across the full technology stack.
The specialist will design, build, and maintain scalable data pipelines using Databricks and implement Medallion Architecture to support reliable analytics. They will also develop low-latency data services and API integrations to ingest data from various internal and external systems.
The specialist will collaborate with a team of engineers to develop and support data solutions within the Databricks environment. Responsibilities include maintaining data processing workflows, managing data governance via Unity Catalog, and troubleshooting production system 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.
The BI Developer will design, develop, and maintain production Tableau dashboards to provide actionable insights for clinical and operational stakeholders. They will also manage data governance, optimize dashboard performance, and collaborate with business leaders to translate requirements into effective BI solutions.
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.
Own the end-to-end development lifecycle of a core data platform, focusing on transitioning from batch processing to a streaming-based architecture. Lead technical initiatives, mentor developers, and collaborate with stakeholders to deliver scalable big data solutions.
Own end-to-end development of high-scale big data solutions from design to production. Lead and mentor developers while contributing to the architecture of next-generation data platforms.
The role involves analyzing large healthcare datasets to create interactive Tableau dashboards and actionable business insights. The analyst will collaborate with stakeholders to translate business needs into BI solutions and ensure data integrity across the platform.
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.
Design technology solutions to support investment operations and accounting processes by translating business requirements into technical designs. Collaborate with stakeholders to define data synchronization and reconciliation requirements across various asset classes.
Build and maintain automated data pipelines to ingest and analyze AWS cost and usage data. Develop scalable data models and self-service BI reporting to enable financial transparency and AI-driven cost optimization.
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.
Lead the end-to-end execution of software development projects across international cross-functional teams using Agile or hybrid methodologies. Act as the primary point of contact for client executives to ensure transparency, trust, and alignment with project goals.
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.
Design, build, and deploy production-ready AI and machine learning systems, including end-to-end pipelines and microservices. Collaborate with cross-functional teams to integrate LLMs and RAG architectures into scalable healthcare applications.
Own and manage the Automatic Content Recognition (ACR) datasets to ensure data quality and provide business insights. Partner with Product and Engineering teams to validate features, monitor anomalies, and develop analytical frameworks.
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.
