The role involves executing validation and certification test plans for applications within Kubernetes-based environments. You will also develop automation scripts, manage defects, and collaborate with cross-functional teams to ensure platform stability.
Design and maintain scalable data pipelines using Airflow while developing production-grade Python code for API integrations and data processing. Manage infrastructure as code with Terraform and ensure data quality, reliability, and governance across the Snowflake data warehouse.
Collaborate with development teams to design and implement monitoring, alerting, and APM instrumentation across services. Lead the optimization of observability solutions and define service level objectives to ensure application reliability and performance.
Collaborate with development teams to design and implement monitoring, alerting, and APM instrumentation across services. Lead the optimization of observability solutions and define service level objectives to ensure application reliability and performance.
Deploy and configure Azure cloud services while automating infrastructure using Infrastructure as Code (IaC) tools. Maintain CI/CD pipelines and implement robust monitoring, security, and disaster recovery solutions.
Design, develop, and maintain CI/CD pipelines while building and operating developer portals to improve productivity. Collaborate with cross-functional teams to implement AI-assisted development tools and manage infrastructure using Infrastructure as Code.
Design, develop, and maintain scalable backend applications using Java and Spring Boot while managing cloud-native microservices on AWS ECS. Collaborate with cross-functional teams to deliver secure, high-quality software solutions and manage data integrations with DynamoDB.
Design, develop, and maintain scalable production-grade machine learning models and pipelines within cloud environments. Manage the end-to-end ML lifecycle, including experimentation, deployment, monitoring, and continuous model improvement.
Lead and mentor data engineering teams while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.
The Senior Test Environment Manager will own and manage test environments throughout the software testing lifecycle to ensure stability and readiness. They will coordinate environment planning, configuration, and deployments while collaborating with cross-functional teams to resolve issues and minimize testing disruptions.
Build and maintain full-stack features across React web, React Native mobile, and Python/Django backend services. Collaborate with product teams to design technical solutions and mentor other engineers on best practices.
Manage and monitor corporate database platforms to ensure high availability, performance, and operational continuity. Perform installation, configuration, and maintenance of database engines while managing backup, recovery, and security strategies.
Develop and maintain dbt models to transform raw data into structured datasets while collaborating with stakeholders to meet business requirements. Monitor and troubleshoot data pipeline issues to ensure data integrity and optimize models for performance and scalability.
Improve automated secret rotation workflows and manage AWS secrets and S3 assets in accordance with cloud security and operational best practices. Analyze and configure Kibana and Akamai SIEM data, develop Python and Bash automation, and review HCL and JSON pull requests for quality and accuracy.
Design and lead end-to-end AI solutions, including architecture, development, and production deployment of LLM, generative AI, RAG, and agent-based systems. Build scalable data-platform solutions and establish production monitoring, troubleshooting, evaluation metrics, and feedback cycles while collaborating with technical and business teams.
Develop and implement AI/LLM-based solutions and maintain services, APIs, and pipelines using Python. Collaborate with cross-functional teams to ensure the delivery of scalable, reliable AI solutions while troubleshooting data and model issues.
Build and deploy AI agents using frameworks like Azure AI Foundry and Copilot Studio to solve business problems. Manage the full lifecycle of agent development, including prompt engineering, orchestration, evaluation, and production monitoring.
Develop and maintain full-stack applications using modern web frameworks and scalable backend services. Collaborate with cross-functional teams to deliver high-quality solutions while implementing rigorous testing and CI/CD practices.
Lead and mentor Data Engineers while owning the architecture, design, and delivery of scalable data platforms and pipelines. Drive migration from Snowflake and SSIS to Azure Databricks and dbt, implement Terraform and CI/CD practices, and establish engineering standards and platform stability.
Design, develop, and maintain cloud-native backend services and distributed systems on AWS. Collaborate with cross-functional teams to deliver high-quality, scalable, and resilient backend solutions.
Develop reusable APIs, connectors, MCP tools, and service contracts, and integrate AI agents with enterprise systems such as SharePoint, SAP, Databricks, and SQL. Implement workflow orchestration and operational controls, including state management, retries, exception handling, access restrictions, API governance, reliability, and scalability.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design scalable, secure, and cost-effective AWS solutions while leading cloud migration initiatives for clients. Engage in presales activities, including workshops and proposal development, while acting as a trusted technical advisor.
Design, develop, and deploy scalable machine learning solutions while building end-to-end ML pipelines. Collaborate with cross-functional teams to implement MLOps best practices and manage containerized workloads in cloud environments.
Design, implement, and maintain scalable AWS infrastructure while managing Kubernetes environments and CI/CD pipelines. Contribute to cloud automation, observability, security, and production troubleshooting.
Design and build scalable, cloud-native SaaS platforms and production-ready AI agents, including Graph-RAG solutions, while leading architectural decisions and developing high-performance APIs. Guide engineering teams on architecture, cloud infrastructure, and data platforms, and collaborate with product, sales, customer success, and engineering teams on technical solutions.
Design secure, scalable, and cost-effective AWS solutions, and lead cloud migrations from on-premises environments. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams on technical solutions.
Design, develop, test, and maintain macOS applications while contributing to an authentication platform and integrating identity and API capabilities. Apply Apple security best practices, troubleshoot application and authentication issues, collaborate across engineering and security teams, and use AI-assisted tools to improve development productivity.
The engineer will digest product requirements to develop scalable and high-performance solutions. They are responsible for the full development lifecycle, including coding, testing, and supporting production deployments within an agile framework.
Design, develop, and maintain scalable software applications while optimizing MongoDB queries and data processing APIs. Collaborate with analytics teams to ensure high-quality code and effective data extraction.
The Software Development Manager will lead multi-disciplinary teams by providing technical guidance, architectural oversight, and ensuring project quality and security. They are responsible for managing project lifecycles, stakeholder relationships, and the professional development of team members.
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.
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, 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.
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.
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 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.
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.
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.
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.
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.
