Company Description Established in 2003, JTSi is an IT & Engineering Services provider with years of documented experience in the Information Technology and Engineering services field.  JTSi has a proven track record for successfully delivering mission-critical Professional IT Services to the Public Sector.  JTSI SAP/ERP team delivers high-value business solutions to its clients by clearly understanding their core business problems.  We deliver quality services at equitable rates and focus on constant improvement in all areas of our operation, with a strong commitment to meeting our Customers’ needs.  We view ourselves more as a Business Partner than merely a consulting services provider.  US Army ERP Services Contract award to JTSi for a ceiling value of $846M is one of the most prestigious awards of the time.  At JTSi “Customer Is Always First” and partnering is our path to customer satisfaction - We do what we say. Visit us at www.jtsusa.com Job Description Deep Knowledge on Open Source Technologies for Distributed Data processing, analysis of big data sets including writing jobs to process vast amounts of data and ETL processing, required expertise is over tools such as: Apache Hadoop, MapReduce, Pig, Spark, Databricks, Hive Deep Knowledge on Open Source Technologies to perform fast, interactive SQL queries at scale over structured or unstructured big data sets, required expertise is over tools such as: Apache Hive LLAP, Spark SQL, Phoenix Deep Knowledge on Open Source Technologies to enable ingestion and processing of millions of streaming events per second: Apache Kafka, Apache Storm, Apache Spark, Apache HBase Deep Knowledge on Performance Analysis and Optimization and operation of Apache Hadoop, Spark, Databricks and the others mentioned above. Deep Knowledge on Open Source Technologies for Machine Learning such as: MLib Strong expertise in ETL/ELT approaches and expertise in technologies such as: Azure Data Factory and SQL Server Integration Services. Software Development skills to write code on Java, Spark Scala, PySpark, Python Qualifications

• Work closely with a Solution Architect to deliver successful contact center solutions • Provide technical advisory support during business process reviews, helping to identify customer requirements and processes • Provide technical details and solutions for functional User Stories • Configure Salesforce Service Cloud Voice and Amazon Connect solutions • Hands-on development of a Solution Design, leveraging best practices and programming principles • Lead a development team in distributing tasks and performing code reviews • Deliver technical end user training and documentation • Exercise independent judgment, and take the lead technical role on enterprise level projects with minimal direction

• Kubernetes at the core: You design, build, and operate Azure Kubernetes Service (AKS) instances, including cluster design and security configuration. • Infrastructure as Code: You develop and maintain IaC solutions with Terraform (focus on module design and reusability). • Automation & CI/CD: You build modern pipelines with Azure DevOps or GitHub Actions and apply GitOps and "shift-left" approaches. • Container expertise: You take responsibility for containerizing applications using Docker and Helm charts. • Security & optimization: You implement security-by-design and optimize the performance of AKS clusters and cloud workloads.

• The DevOps Engineer will be responsible for development, management and maintenance of enterprise infrastructure and applications. • Working across teams in a collaborative (DevOps) formation, Engineer will be responsible for team mentorship, technology advances and direction. • Supporting project managers and various business towers as a consultant and subject matter expert for the end-point compute environment. • Applies company policies and procedures to resolve a variety of issues. • Works on problems of moderate scope. • Receives general instructions on routine work and detailed instructions on new projects. • Work with data analysts, product owners and data scientists, to better understand requirements, finding bottlenecks and resolutions. • Build batch/real time analytical solutions leveraging transformational technologies. • Provide technical engineering working on various technologies. • Design and implement solutions to improve existing support processes and tools. • Support our development and management infrastructure and integrate all systems to work as one. • Write automation code and build tools for provisioning and operating our Development infrastructure on multi OS virtualized environments. • Improve scalability, service reliability, capacity, and performance of Cloud and Hadoop Infrastructure. • Preparing root cause analysis for network and server outages. • Introduce innovations, track and follow up on planning and execution of quality initiatives. • Document and follow defined RMA processes and procedures for all relevant vendors. • Triage all incoming requests through the ticketing systems and apply first attempt troubleshooting steps (escalate trouble tickets when required). • Record, track, and document the tasks request problem-solving process, including all successful and unsuccessful decisions made, and actions taken, through to final resolution.