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Linux Platform Engineer (Python Automation/On-Prem Linux is a MUST) USC or Green Card a Must

Refer a friend:Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process.We are committed to advancing your career and look forward to supporting your professional growth.-----------------------------------------------------------------------------------------------------------------------------------------------Linux Engineer/DevOps Engineer (Python Automation/On-Prem Linux is a MUST)Location: Houston, Texas OR Boston, Massachusetts – on-site 4 days a weekSalary: Very generous Salaries will be paid to exceptional candidatesThis is NOT a cloud-based DevOps position. This is an on-prem, Linux Systems Engineering role that uses DevOps practices heavily. Must have a strong automation coding backtground to be considered for this role.Please note, these are all full time, on-site positions. C2C is not an option.OverviewWe are seeking multiple DevOps Engineers (4–10 years experience) with strong Python automation , Linux engineering , and on-premise DevOps platform backgrounds.Ideal candidates will come from cloud services companies, high-technology companies, platform/infrastructure engineering teams, or compute-intensive environments .All roles require a mix of operations and development , a strong focus on automation , and the ability to work with complex, enterprise-scale production systems.Candidates must have:Strong Python development for automationExpert-level Linux engineering/administrationHands-on on-premise DevOps experience (not cloud-only)Experience supporting large enterprise environmentsStrong understanding of CI/CD workflows and DevOps methodologiesAbility to collaborate with Engineering, Operations, and Platform teamsTitles that align with: DevOps Engineer, Platform Engineer, SRE, Infrastructure EngineerPosition Overview (General)As a DevOps/Platform Engineer, you will play a mission-critical role in building, supporting, and automating the platform infrastructure that powers high-scale compute workloads and internal engineering capabilities. You will work closely with internal customers and engineering teams to build, maintain, and improve automated platform solutions.Responsibilities may include:Designing, implementing, and maintaining on-premise platform servicesAutomating operational tasks using Python and configuration management toolsImproving platform reliability, scalability, and observabilityWorking with containerization, orchestration, CI/CD tooling, and Linux systemsMonitoring, troubleshooting, and optimizing high-capacity distributed systemsSupporting production environments (remote support rotation varies by team)Providing technical guidance to junior engineers and contributing to platform standardsCore Required Qualifications (Applies to All Profiles)Degree in Computer Science, Engineering, or related field (or equivalent experience)4–10 years of DevOps, SRE, Platform Engineering, or Linux Engineering experiencePython development experience for advanced automationStrong Linux administration (system internals, troubleshooting, performance tuning)Experience with Git , CI/CD, and modern development workflowsExperience with containerization (Docker, Podman, or similar)Experience with configuration management (Ansible preferred; Puppet or Chef a plus)Excellent written and verbal communication skillsAbility to excel in a fast-paced, high-scale technical environmentPreferred / Nice-to-Have Skills (General)Experience with orchestration technologies (Kubernetes, Slurm, Airflow, Prefect)Experience with Terraform or other IaC toolsExperience with observability systems (Prometheus, Elasticsearch, Grafana)Experience with CI/CD tools (GitLab, Bitbucket, Jenkins)Experience with large-scale storage, compute, or distributed systemsFour Specialized Role Profiles1. DevOps Engineer – Scheduling & Orchestration (Kubernetes Specialist)Focus: Managing and administering on-prem Kubernetes clusters and scheduling infrastructure.Key RequirementsStrong experience with Kubernetes (K8s) cluster maintenance, operations, and troubleshootingLinux engineering expertise for compute-intensive environmentsStrong Python automation; transitioning toward AnsibleExperience with Chef or Puppet is a plusHybrid/on-prem environment (not cloud-native)Ability to support a rotating remote on-call schedule (daytime, ~every 2 months)Must have both operations and development experience2. DevOps Database Engineer – Postgres/MongoDB (DaaS)Focus: On-premise DevOps engineering for large-scale database environments.Key RequirementsStrong expertise with PostgreSQL (must-have)Experience with MongoDB (nice to have)Strong Linux and Ansible backgroundHeavy Python automation experienceExperience supporting Database-as-a-Service (DaaS) platformsAbility to manage and automate environments with hundreds of database instancesExposure to very large-scale data footprints (terabytes to petabytes )3. DevOps Engineer – Developer Tools & CI/CDFocus: Building and improving developer workflows, pipelines, and automation toolchains.Key RequirementsStrong experience with GitLab , Bitbucket , or similar toolsCI/CD pipeline architecture, maintenance, and optimizationStrong Linux and Python automationExperience automating developer workflows, build systems, and integration toolingExperience supporting engineering teams in a platform-as-a-service capacity4. DevOps Engineer – Kafka ToolingFocus: Managing and automating Kafka tooling and related platform services (on-prem).Key RequirementsStrong experience with Kafka , Kafka clusters, or Kafka tooling automationPython automation, Linux engineering, and DevOps best practicesExperience managing distributed messaging systemsExperience implementing monitoring, scaling, and automation around data pipelines