Develop and maintain scalable frontend and backend components while working closely with product managers and data scientists. Ensure high availability, performance, and scalability of platform services across AWS and on-premises environments.
The role involves migrating existing messaging solutions to Power Apps and enhancing SMS architecture for production readiness. You will also develop API endpoints and manage global file upload functionality while serving as the primary client contact.
The QA Performance Engineer will execute performance, load, and stress tests on middleware services using JMeter. They will also collaborate with developers and DevOps engineers to analyze results, identify bottlenecks, and maintain the performance testing framework.
Design, provision, and maintain scalable Azure infrastructure using Terraform while managing CI/CD pipelines for application and data workloads. Implement GitOps workflows, ensure security through DevSecOps practices, and provide operational support for Azure Databricks and AKS clusters.
Design, develop, and deploy scalable automation solutions across enterprise business functions using low-code/no-code platforms and APIs. Collaborate with stakeholders to identify automation opportunities while maintaining system architecture standards and data integrity.
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.
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.
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.
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.
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 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.
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.
