Machine Learning Engineer

Aculocity, LLC – Teamcenter Administrator – Birmingham, AL Job Description: Teamcenter Administrator positions offered by Aculocity, LLC (Birmingham, AL). Manage the installation, configuration, maintenance, and support of Teamcenter PLM software at the server and client level in production and non-production environments. Position reports to Birmingham, AL office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to LegalCompliance@gvwgroup.com. Reference Job ID: 8963682.

Job Title: Senior Platform Engineer Location: Seattle, WA Employment Type: Full Time About Us: DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success. Job Purpose: The Senior Platform Engineer will focus on designing, building, and maintaining infrastructure and automation tools to support scalable software platforms. The role involves working closely with cloud services, automation frameworks, and distributed system architectures to deliver efficient, reliable deployment pipelines and internal software solutions. Requirements Key Responsibilities Lead platform engineering efforts using tools such as Ansible, Docker, Kubernetes, and Terraform. Build and manage CI/CD pipelines, automate deployments, and maintain infrastructure as code. Develop and maintain automation scripts primarily using Python and shell scripting for system administration and data processing tasks. Design and implement internal software tools, leveraging strong software engineering and problem-solving skills. Work with complex distributed systems and microservices architectures to ensure scalability and reliability. Manage and optimize continuous integration and continuous delivery workflows including deployment automation, configuration management, and source code repository operations. Handle containerization and orchestration strategies for production deployments. Administer and architect both SQL and NoSQL databases. Collaborate within Agile/Scrum teams to deliver high-quality software solutions. Utilize monitoring tools such as Prometheus and Grafana to identify and troubleshoot performance and availability challenges in distributed environments. Address complex engineering problems through proactive investigation and resolution. Required Skills & Experience Minimum 8 years of professional experience in software engineering. At least 4 years of experience in application development. Over 4 years of expertise in automation and scripting, especially with Python. 8+ years building and managing automation/configuration management tools such as Ansible, Terraform, Chef, or Puppet. Proven track record of developing and maintaining CI/CD pipelines for 8+ years. 6+ years experience deploying production code using Docker containers. Hands-on experience with cloud platforms, preferably AWS and Azure, including both IaaS and PaaS services. Strong background in designing and operating large-scale distributed systems, with familiarity in technologies such as Java/Spring Boot, CQRS, event streaming (Kafka), and Apache Spark. Database knowledge across relational and NoSQL systems. Preferred Qualifications Experience with streaming technologies like Kafka, NATS, Kinesis, or Event Hub. Familiarity with Databricks or Apache Spark. Exposure to Elastic Search. Knowledge of API management tools such as Apigee. Experience using performance monitoring platforms such as Datadog or New Relic.

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