Develop production-grade applications using TypeScript and design backend services, APIs, and system integrations. Build and maintain agentic AI orchestration workflows while ensuring code quality, maintainability, and scalability.
Design and build agentic AI platform capabilities from the ground up while developing cloud-native enterprise applications. Collaborate with client architects and engineering leaders to deploy and operate solutions within regulated environments.
You will be responsible for defining, developing, and maintaining software solutions while ensuring they are functional and scalable. Additionally, you will collaborate with multi-disciplinary teams to troubleshoot issues and mentor other developers.
Define target architectures for enterprise agentic AI foundations and assess existing AI initiatives for scalability and business value. Build proof-of-concept solutions, including agents and evaluation pipelines, while transferring knowledge to client teams through pairing and documentation.
Design and develop modern data platforms using Google Cloud technologies while modeling data flows and defining end-to-end processing solutions. Facilitate architecture workshops with stakeholders and ensure the implementation of CI/CD and Infrastructure as Code practices.
You will be responsible for automating and maintaining Linux-based environments and managing build pipelines for software delivery. Additionally, you will troubleshoot system issues and maintain technical documentation to ensure effective product release processes.
You will manage and improve deployment processes while designing and maintaining reliable infrastructure and delivery solutions. Additionally, you will support teams in adopting DevOps practices and contribute to infrastructure modernization and production issue resolution.
You will maintain and improve CI/CD pipelines, infrastructure automation, and configuration processes while supporting development teams with technical guidance. Additionally, you will manage infrastructure across cloud and air-gapped environments and contribute to monitoring and observability initiatives.
You will manage and maintain cloud infrastructure while supporting development teams with CI/CD solutions and infrastructure-related issues. Additionally, you will coordinate DevOps activities across multiple teams and provide technical guidance during design and planning sessions.
You will assess and document the security posture of cloud-based and on-premises services while coordinating penetration tests and security scanning. Additionally, you will drive the adoption of Security by Design principles and integrate security controls into CI/CD processes.
You will design target-state analytical and enterprise data models for Data Quality monitoring within GCP using dbt Core. Additionally, you will collaborate with data engineers and business analysts to ensure models are scalable, well-documented, and aligned with business requirements.
You will be responsible for building a reusable application platform and migrating existing business functionality while maintaining functional parity. This involves documenting complex business rules, integrating with enterprise systems, and delivering incremental releases supported by automated testing.
You will develop and maintain .NET-based software solutions while contributing to a platform designed for automated data extraction and analysis. The role involves collaborating with stakeholders to design reliable systems and troubleshooting technical issues within complex enterprise environments.
You will be responsible for maintaining and improving a complex legacy Java application while developing new features and ensuring system stability. You will also collaborate within a Scrum team to evolve the technical architecture and mentor others through code reviews.
The Senior Business Analyst will elicit, analyze, and document business requirements while translating them into clear user stories for development teams. They will also support backlog management, participate in large-scale system migrations, and collaborate with stakeholders to design scalable, data-driven solutions.
You will analyze large datasets related to customer behavior and business performance while developing and maintaining analytical datasets using SQL and PySpark. Additionally, you will collaborate with stakeholders to support campaign measurement, customer segmentation, and data-driven process improvements.
Design, develop, and maintain high-performance native iOS applications using Swift and Objective-C. Collaborate with cross-functional teams to deliver features while ensuring clean, maintainable code and optimal application performance.
You will build scalable, high-performing LLM capabilities that integrate seamlessly into business workflows. Additionally, you will develop tools and frameworks that enable teams to leverage LLM power effectively.
You will analyze digital sales, customer behavior, and performance data to provide actionable business insights and recommendations. Additionally, you will build and maintain Power BI dashboards while identifying trends and performance improvement opportunities.
Lead the large-scale migration of repositories and CI/CD pipelines from Azure DevOps to GitHub Enterprise environments. Collaborate with engineering teams to validate workflows, troubleshoot issues, and optimize GitHub Actions for efficient delivery.
The analyst will design ingestion frameworks and implement transformation pipelines to migrate legacy data into Google BigQuery. They are responsible for ensuring data quality, performing reconciliation, and delivering production-grade datasets for analytical consumption.
The Program Manager will lead data transformation engagements from kickoff through operationalization, ensuring alignment between business goals and technology adoption. They will act as the primary interface for senior stakeholders while coordinating cross-functional teams including architects, engineers, and data analysts.
You will own the end-to-end development of features for an AI-powered accounting platform, from initial concept to deployment. This includes building backend services, designing reliable AI-powered workflows, and collaborating with product and domain experts.
You will design, implement, and operate secure, scalable Azure platform capabilities while building infrastructure using Terraform and GitOps processes. Additionally, you will mentor engineers, apply Generative AI to infrastructure tasks, and collaborate with technical teams to drive platform engineering practices.
