Design, build, and maintain automated testing frameworks for web applications and APIs while integrating them into CI/CD pipelines. Collaborate with cross-functional teams to improve test coverage, document defects, and ensure high-quality software delivery.
The role involves designing, deploying, and maintaining scalable machine learning systems in production environments. You will collaborate with cross-functional teams to operationalize models, build robust data pipelines, and implement MLOps best practices.
Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.
Design, automate, and manage scalable cloud infrastructure across AWS, Azure, or GCP environments. Collaborate with engineering teams to build CI/CD pipelines, implement Infrastructure as Code, and ensure high-availability production systems.
Design and implement scalable Infrastructure as Code using Terraform and Ansible to automate cloud provisioning. Integrate infrastructure tasks into CI/CD pipelines while enforcing security, compliance, and system reliability standards.
Design, implement, and maintain scalable cloud infrastructure and deployment pipelines across AWS, Azure, or GCP. Collaborate with engineering teams to streamline CI/CD processes, improve system resilience, and manage containerized workloads.
Source and submit qualified candidates for various IT roles including software engineering, data, cloud, and DevOps. Collaborate with the team to manage candidates through the hiring process and drive successful placements.
Design, develop, and maintain scalable backend services and REST APIs while ensuring system performance and security. Collaborate with cross-functional teams to build event-driven microservices and integrate with cloud-native architectures.
Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.
The Lead Data Architect will define and evolve enterprise-wide data architecture standards and roadmaps to support analytics and operational needs. They will oversee the design of scalable data platforms, including data lakes and warehouses, while ensuring robust data governance and security compliance.
Design and maintain scalable data models and ETL/ELT workflows to support robust reporting infrastructure. Collaborate with cross-functional teams to transform raw data into executive-ready dashboards and optimize SQL performance.
The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.
You will prospect and acquire new IT staffing clients while negotiating rates and contracts to drive revenue growth. You are responsible for managing the client side of the business, including pipeline development and maintaining strong client relationships.
The developer will design, build, and maintain custom Salesforce solutions using Apex and Lightning Web Components. They will also collaborate with architects and stakeholders to implement integrations and ensure high code quality through testing and CI/CD workflows.
The consultant will lead end-to-end Salesforce implementations and enhancements for Sales and Service Cloud environments. They are responsible for translating business requirements into scalable solutions, configuring platform features, and coordinating with stakeholders for successful delivery.
Design and lead end-to-end AI system architectures across enterprise environments, including LLM applications and RAG systems. Establish governance, security, and performance standards while guiding engineering teams through implementation.
The Senior Lead QA Engineer will define and lead the overall quality strategy, processes, and best practices across multiple products. They will also mentor the QA team and drive the implementation of test automation frameworks to ensure high-quality software delivery.
