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.
You will lead a squad of engineers to build cloud-native, AI-powered digital products while remaining hands-on with frontend, backend, and AI integration tasks. The role involves driving technical decisions, setting engineering standards, and collaborating with US-based clients across time zones.
You will develop and maintain the Commercial Data Manager system using Node.js, TypeScript, and HubSpot integrations. Additionally, you will lead technical architectural discussions and mentor engineering team members to ensure scalable and high-quality delivery.
Lead product discovery, prototyping, and customer validation for an AI initiative while working closely with software engineers. Translate customer insights into clear product requirements and facilitate feedback sessions to inform go/no-go decisions.
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.
Design and implement scalable software solutions using Scala and Go within distributed, event-driven environments. Collaborate with stakeholders to evaluate technical trade-offs while supporting high-throughput production systems.
Develop and maintain backend applications using C# and .NET while integrating REST APIs and ASP.NET Core services. Collaborate with international Scrum teams to migrate business-critical platforms and ensure system performance, security, and observability.
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.
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, data modeling, and system migration initiatives across multiple distributed teams.
You will migrate and transform legacy Oracle-based processing into BigQuery and dbt while leveraging AI tools to accelerate code transformation. Additionally, you will develop, test, and maintain data processing solutions on the cloud platform while collaborating with architects and business analysts.
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 develop and maintain data lakehouse layers while building and optimizing data transformation workflows using dbt and PySpark. Additionally, you will design data pipelines, manage infrastructure as code with Terraform, and support cloud security and governance practices.
You will design and develop native Android solutions for the automotive vertical using Kotlin and Jetpack Compose. You will also collaborate with backend engineers and product teams to integrate REST APIs and ensure efficient software delivery.
You will design and develop production-grade full-stack web applications while providing hands-on technical leadership to the engineering team. Additionally, you will translate product requirements into scalable technical solutions and mentor engineers to raise overall capability.
You will manage and prioritize product requirements for the Retail Pricing domain while collaborating with stakeholders to define product goals and roadmaps. Additionally, you will work closely with development teams to support sprint planning, refinement, and the delivery of high-value product solutions.
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.
You will design and build consumable data assets on an AWS data platform while collaborating with product engineering teams to define data ownership and contracts. Additionally, you will onboard data from legacy warehouses and develop tooling to accelerate platform adoption.
Coordinate QA activities across complex delivery projects while acting as the primary point of contact between internal teams and external providers. Manage defect lifecycles, maintain test evidence, and ensure quality gates are met for successful delivery and release readiness.
