The role involves designing and building scalable, cloud-native SaaS applications while integrating advanced AI and autonomous agent technologies. You will provide technical leadership, guide architectural decisions, and collaborate with cross-functional teams to deliver high-performance solutions.
The role involves defining and maintaining key performance indicators to assess the scalability and limits of a private cloud platform. You will also develop automated pipelines and test workloads to identify performance regressions and ensure system readiness.
Develop high-performance cloud and container technologies primarily using Python to support 5G and distributed Edge deployments. Participate in agile development processes to deliver quality solutions, unit tests, and resolve integration issues.
Lead the RTS delivery squad and oversee the end-to-end architecture and delivery of strategic, API-driven data products. Mentor engineering team members while establishing technical standards, CI/CD practices, and robust data quality monitoring.
Design, build, and maintain scalable DBT models on Azure Databricks while leveraging AI-assisted tools for development and testing. Collaborate with engineering teams to implement data quality frameworks and ensure data products align with business objectives.
The role involves deploying and configuring Azure cloud services while automating infrastructure using Infrastructure as Code (IaC) practices. Additionally, the candidate will build and maintain CI/CD pipelines, implement monitoring solutions, and manage disaster recovery and security protocols.
Design, develop, and maintain high-quality native Android applications using Kotlin while collaborating with cross-functional teams. Contribute to CI/CD processes, automated testing, and project management within Agile frameworks.
The role involves improving automation for secret rotation and managing cloud resources within AWS environments. You will also analyze logs using Kibana and utilize AI-powered tools to enhance platform reliability and engineering productivity.
Design, build, and maintain DBT models on Azure Databricks using Medallion Architecture and Unity Catalog. Implement AI-assisted development strategies to enhance code quality, productivity, and data governance standards.
Design, develop, and maintain high-quality iOS applications while leading feature development from design to delivery. Collaborate with cross-functional teams to integrate backend services and AI/ML-powered solutions using modern architectural patterns.
The role involves owning the end-to-end delivery of data pipelines and products from design through deployment and production support. You will also be responsible for executing large-scale data migrations and managing infrastructure-as-code solutions.
Design and implement end-to-end integrations between internal platforms and third-party systems using various synchronization strategies. Manage API contracts, data quality, and system observability to ensure scalable and resilient integration solutions.
Develop and customize scalable Salesforce solutions using Apex, Flows, and Lightning Web Components. Design and implement integrations with external systems while applying best practices for architecture and security.
The engineer will build and maintain features across the full stack, including React web and mobile applications and Python/Django backends. They will also collaborate with product teams to design technical plans, mentor other engineers, and participate in on-call rotations.
Design user-centered product experiences for complex digital platforms using Figma and AI prototyping tools. Collaborate with cross-functional teams to translate complex requirements into intuitive, high-quality design solutions.
Provision and maintain cloud and on-premise infrastructure while managing CI/CD pipelines and infrastructure as code. Support application incident resolution and promote DevSecOps practices and metrics within agile teams.
Design and maintain scalable build systems and CI/CD pipelines while automating infrastructure provisioning using IaC tools. Collaborate with development teams to ensure system health, security, and performance through monitoring and container orchestration.
The Software Development Manager will lead multi-disciplinary teams, providing technical guidance and architectural oversight to ensure high-quality software delivery. They are responsible for managing project lifecycles, stakeholder relationships, and the professional development of team members.
Design and guide enterprise-scale solutions using software engineering, AI, and cloud technologies while providing technical leadership across the development lifecycle. Oversee end-to-end machine learning pipelines and collaborate with teams to build scalable, secure, and cloud-native applications.
Design and maintain AI-powered applications and scalable cloud-native data platforms using Python, TypeScript, and AWS. Build and optimize end-to-end data pipelines while developing production-ready LLM-powered solutions and agentic AI systems.
The Tech Lead will mentor development teams, drive innovation, and ensure the delivery of high-quality, scalable cloud solutions. They will also participate in the full development lifecycle, conduct code reviews, and act as a trusted technical advisor to customers.
Design, build, and maintain software systems while managing the full development lifecycle from requirements analysis to deployment. Collaborate with cross-functional teams to provide application support, perform testing, and ensure code quality through reviews and standards compliance.
The engineer will design, implement, and consume RESTful web APIs while creating elegant user interface solutions. They are also responsible for coding, debugging, and supporting cloud-based applications throughout all phases of the software development lifecycle.
The role involves managing AWS infrastructure, maintaining CI/CD pipelines, and ensuring system reliability through monitoring and observability. You will also participate in on-call rotations, perform root cause analysis, and collaborate with engineering teams to improve operational readiness.
Design and lead the architecture of secure, scalable, cloud-native SaaS applications using .NET, Angular, and AWS. Mentor engineering teams and champion AI-first software development to improve productivity and software quality.
Own the end-to-end delivery of scalable data pipelines and products, focusing on migration from Snowflake to Azure. Ensure data quality, observability, and governance while providing technical leadership and mentorship to junior engineers.
Design and deliver scalable Salesforce Service Cloud and Chat solutions, including omni-channel and case management. Customize and integrate the platform using Apex and LWC while guiding stakeholders on best practices and managing DevOps pipelines via Copado.
Design, develop, and maintain high-quality iOS applications using Swift and modern architectures like MVVM. Lead end-to-end feature development and integrate AI/ML capabilities and backend services.
The developer will be responsible for designing, developing, and maintaining new and existing applications throughout the full software development lifecycle. This includes performing code reviews, discussing design trade-offs, and providing support for production deployments.
The developer will implement solutions from coding to testing and participate in the full development lifecycle. Responsibilities also include developing new features, maintaining existing applications, and troubleshooting production issues.
The developer will digest requirements from the product team to build scalable cloud-based solutions. They are responsible for the full development lifecycle, including coding, testing, and production deployment support.
The Senior Data Engineer will collaborate with cross-functional teams to migrate data from Snowflake on AWS to Azure Databricks and DBT. This role includes developing and maintaining infrastructure-as-code and supporting data transformation processes.
As a UX Designer, you will analyze business problems and user needs to propose user-centered solutions. You will collaborate with stakeholders and create wireframes, prototypes, and high-fidelity mockups to enhance digital products.
As a Frontend React Developer, you will contribute to the team's user experience and application performance. You will work in a dynamic team to provide solutions using JS and the React framework, participating in the complete cycle of development.
The role involves developing scripts for data extraction from MongoDB and creating APIs for data processing and delivery. Additionally, the developer will optimize MongoDB queries for report generation and collaborate with analytics teams to understand reporting requirements.
