About the Role Our client is seeking an experienced Senior Full Stack Developer to join their innovative team. In this role, you’ll design, develop, and maintain scalable web applications across the entire stack. You’ll collaborate in an Agile/Scrum environment and work with modern technologies to deliver high-quality solutions. <br> What You’ll Do Build and maintain robust, secure, and scalable web applications. Work across front-end, back-end, databases, APIs, and cloud services. Collaborate with cross-functional teams in an Agile/Scrum setting. Write clean, maintainable code and participate in code reviews. Troubleshoot, debug, and optimize application performance. Stay current with emerging technologies and recommend improvements. Work Environment Hybrid role: Must be based in the Chicago area and available for on-site collaboration. Why Join? Work on cutting-edge projects with modern tech stacks. Collaborative team culture focused on innovation. Competitive compensation and benefits. Equal Employment Opportunity (EEO) Statement Our client is an Equal Opportunity Employer. All experience in applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or experienced status.
We are looking for a skilled DevOps Engineer to join our team on a long-term contract basis in Chicago, Illinois. This role involves designing, deploying, and maintaining scalable and secure infrastructure solutions in a dynamic Agile environment. You will play a key role in driving automation and optimizing workflows for cloud-based systems.<br><br>Responsibilities:<br>• Develop and maintain scalable CI/CD pipelines to streamline software delivery processes.<br>• Implement and manage cloud-based infrastructure using tools like Terraform, Ansible, and Docker.<br>• Deploy and administer continuous integration tools such as Azure DevOps, Jenkins, and Bamboo.<br>• Integrate automated testing solutions for unit, system, and performance testing within CI/CD pipelines.<br>• Manage containerization strategies, leveraging technologies such as Docker and Kubernetes.<br>• Configure and administer GitHub Copilot to enhance collaborative development practices.<br>• Utilize programming languages such as Python, Powershell, and Bash to create automation scripts.<br>• Monitor application performance using tools like Datadog and SolarWinds to ensure system reliability.<br>• Collaborate with teams to establish and maintain Agile workflows, including Scrum and Kanban.<br>• Define and implement best practices for secure and efficient cloud architecture.
Job Title: Data Engineer Location: Hybrid, Chicago, IL <br> About the Role: Our company is seeking a Data Engineer with 5–7 years of experience in data engineering. This role is designed for individuals who excel at building robust, scalable data solutions in AWS cloud environments. As part of our team, you’ll engineer and optimize data pipelines critical to our analytics, reporting, and data-driven strategy, while collaborating cross-functionally in a hybrid Chicago-based setting. <br> Key Responsibilities: <br> Design, build, and maintain scalable data pipelines and architectures using AWS cloud services. Develop, manage, and optimize ETL/ELT workflows to acquire, clean, and transform data from diverse sources. Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Monitor pipeline performance and troubleshoot issues to maximize data reliability and efficiency. Apply data governance best practices and maintain technical documentation. <br> Must-Have Technologies: Languages: Python, SQL Cloud: AWS (S3, Redshift, Glue, Lambda, RDS, Data Pipeline) Big Data: Apache Spark, Hadoop, Kafka ETL Tools: Airflow, AWS Data Pipeline Databases: PostgreSQL, MySQL, Redshift, MongoDB Work Arrangement: <br> Hybrid schedule with regular in-office collaboration in Chicago, IL. Preferred Certifications (optional): <br> AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect Certified Data detail oriented (CDP)
