Seeking a Senior DevOps Engineer with strong hands-on experience in DevOps tools, CI/CD automation, and scripting, along with solid expertise in middleware platforms such as WebLogic and JBoss to drive automation initiatives and streamline deployment processes.
Responsibilities
Design and implement CI/CD pipelines using GitHub Actions and YAML-based workflows
Develop and maintain automation frameworks and reusable workflows to improve deployment efficiency
Build and maintain scripts (Shell, Bash, Python, YAML, PowerShell) for automation and operational tasks
Manage and support middleware platforms including WebLogic 12c / 14c and JBoss 7.4 / 8.1
Automate application deployments, patching, and environment provisioning across middleware environments
Lead the architecture, engineering standards, and strategic direction for enterprise Red Hat Linux and Client virtualization platforms, driving an automation-first strategy.
Locations (2)
Miami, Florida, United States
Juno Beach, Florida, United States
Responsibilities
Define and maintain enterprise architecture standards for Red Hat Enterprise Linux (RHEL), Client virtualization, and infrastructure automation
Develop enterprise technology roadmaps for compute platforms, automation, virtualization, and hybrid cloud
Design highly available, resilient, secure, and scalable enterprise compute environments
Architect enterprise Client solutions including ESXi, vSphere, vCenter, NSX, vSAN, and Client Cloud Foundation
Define Linux platform standards including OS lifecycle management, patching, security hardening, image management, and compliance
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
A versatile builder who thrives at the intersection of full-stack development, cloud automation, and large-scale data, helping build and deploy resilient, high-impact systems.
Compensation
$130,000 - $260,000 / year
Responsibilities
Craft responsive frontend interfaces in React or Angular
Engineer robust backend services using Java, Python, Spring Boot, or Django
Leverage AWS, Kubernetes, and Infrastructure-as-Code tools like Terraform and CloudFormation to streamline CI/CD pipelines
Requirements
Master's degree in engineering, computer science, mathematics, or comparable area of study
Nice to have: Optimizing tools and services to leverage large scale data technologies such as Elasticsearch, Presto/Trino, or Apache Spark
Nice to have: Developing ETL automation tools and services
Nice to have: Using prototype development for novel tools and services
Nice to have: Integrating Sponsor security requirements into Sponsor tools and systems
Support advanced scientific computing and high-performance infrastructure environments associated with Argonne National Laboratory, focusing on Lustre Parallel File Systems and HPC Networking.
Responsibilities
Design, build, configure, and support Lustre parallel file system environments for large-scale HPC workloads
Take ownership of cloud costs at Syllo and drive cost improvements across our engineering organization, bringing a FinOps mindset to technical design and implementation.
Compensation
$190- $230K) plus health insurance and equity. United States - Remote Pay Range
$190,000—$230,000 USD
Responsibilities
Own cloud cost efficiency end-to-end by championing FinOps initiatives that drive cost visibility, accountability, and sustained reductions in unit cost as we scale
Provide technical leadership and mentorship especially around socializing the FinOps mindset across the broader Engineering team
Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies
Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks
Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms
Database Administrator responsible for migrating Oracle, Microsoft SQL Server, and PostgreSQL databases to Azure, ensuring data integrity, performance, and high availability.
As a Senior Test Engineer, you will be responsible for validating the functional reliability and performance of our connected camera fleet across the entire hardware-to-cloud ecosystem.
Compensation
Estimated Annual Pay Range
$150,000—$220,000 USD
Responsibilities
Execute structured system validation test plans for release candidates to ensure core firmware functionality, network resilience, and seamless cloud connectivity
Perform augmented and exploratory testing on new camera features, focusing on hardware-software integration
Run repeated stress and longevity tests to identify memory leaks, thermal bottlenecks, and overall system degradation over time
Write, maintain, and execute automated test scripts (primarily in Python) to run against physical hardware in our test lab
Automate critical regression test cases to increase coverage and reduce manual testing cycles for weekly/monthly firmware OTA releases
Design, automate, and deliver network changes for Amazon fulfillment centers worldwide, ensuring minimal downtime and scalable automation across a global fleet.
Compensation
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
Responsibilities
Design and test network architectures for hardware refreshes and automate capacity upgrades across a global fleet of sites
Build and improve automation for configuration generation, pre- and post-change validation, and deployment
Plan and run large hardware replacements and migrations with little or no downtime for the building
Write change plans and runbooks, and help define which changes are low-risk enough to deploy automatically
Troubleshoot complex issues across LAN, WAN, and wireless, and turn recurring problems into automated fixes or checks
Lead the deployment and integration of Enterprise AI solutions across corporate applications, databases, and business systems, focusing on building autonomous agentic workloads.
Compensation
Salary Base: $186,000 - $215,000 salary, commensurate with experience
Responsibilities
Architect and integrate Enterprise AI platforms directly into business systems, proprietary applications, databases, and core corporate resources to enable autonomous agentic workflows.
Design, deploy, and automate middleware servers to securely bridge data flow between secure and non-secure networks across hybrid cloud and on-premise environments.
Develop, automate, and maintain secure API integrations and database connections (SQL, NoSQL, vector databases) that allow AI agents to safely query, process, and act upon corporate data.
Automate the provisioning of integration layers, middleware, and network boundaries using tools like Terraform or Ansible.
Build and optimize pipelines specifically tailored for deploying AI models, automation scripts, and system integrations while enforcing shift-left security baselines.
Requirements
Bachelors degree in Computer Science
Bachelors degree in Applied Mathematics
Bachelors degree in Mechatronics/Robotics Engineering
Nice to have: Business Systems Integration (HRIS, ERP, MES)
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