Linux Engineer/DevOps Engineer; Python Automation/Prem Linux USC
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-03-01
Listing for:
Career Developers
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer, SRE/Site Reliability, Data Engineer
Job Description & How to Apply Below
Overview
We are seeking multiple Dev Ops Engineers with strong Python automation, Linux engineering, and on‑premise Dev Ops platform experience. This is an on‑premise role (not cloud-based) that heavily uses Dev Ops practices.
Location:
Houston, TX or Boston, MA — on‑site 4 days a week. C2C is not an option. Salary: very generous for exceptional candidates.
Career Developers Inc., a staffing and consulting firm, celebrates 30 years of service excellence. As a GSA Contract holder, we offer staffing solutions for commercial and government sectors nationwide. We focus on managing candidate expectations with precision through business intelligence, thorough interview preparation, transparent communication, and constructive feedback throughout the process. We are committed to advancing your career and supporting your professional growth.
Responsibilities- Designing, implementing, and maintaining on‑premise platform services
- Automating operational tasks using Python and configuration management tools
- Improving platform reliability, scalability, and observability
- Working with containerization, orchestration, CI/CD tooling, and Linux systems
- Monitoring, troubleshooting, and optimizing high‑capacity distributed systems
- Supporting production environments (remote support rotation varies by team)
- Providing technical guidance to junior engineers and contributing to platform standards
- Job type:
Full‑time, on‑site - Locations:
Houston, TX or Boston, MA - Security/Infrastructure focus: on‑premises, not cloud‑only
- Team scope:
Dev Ops/Platform Engineering across enterprise environments
Required Qualifications (Applies to All Profiles)
- Degree in Computer Science, Engineering, or related field (or equivalent experience)
- 4–10 years of Dev Ops, SRE, Platform Engineering, or Linux Engineering experience
- Python development experience for automation
- Strong Linux administration (system internals, troubleshooting, performance tuning)
- Experience with Git, CI/CD, and modern development workflows
- Experience with containerization (Docker, Podman, or similar)
- Experience with configuration management (Ansible preferred; Puppet or Chef a plus)
- Excellent written and verbal communication skills
- Ability to excel in a fast‑paced, high‑scale technical environment
- Experience with orchestration technologies (Kubernetes, Slurm, Airflow, Prefect)
- Experience with Terraform or other IaC tools
- Experience with observability systems (Prometheus, Elasticsearch, Grafana)
- Experience with CI/CD tools (Git Lab, Bitbucket, Jenkins)
- Experience with large‑scale storage, compute, or distributed systems
- Focus:
Managing and administering on‑prem Kubernetes clusters and scheduling infrastructure. - Key Requirements:
- Strong experience with Kubernetes cluster maintenance, operations, and troubleshooting
- Linux engineering expertise for compute‑intensive environments
- Strong Python automation; transitioning toward Ansible
- Experience with Chef or Puppet is a plus
- Hybrid/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 experience
DB (DaaS)
- Focus:
On‑premise Dev Ops engineering for large‑scale database environments. - Key Requirements:
- Strong expertise with Postgre
SQL (must‑have) - Experience with Mongo
DB (nice to have) - Strong Linux and Ansible background
- Heavy Python automation experience
- Experience supporting Database‑as‑a‑Service (DaaS) platforms
- Ability to manage and automate environments with hundreds of database instances
- Exposure to very large‑scale data footprints (terabytes to petabytes)
- Strong expertise with Postgre
- Focus:
Building and improving developer workflows, pipelines, and automation tool chains. - Key Requirements:
- Strong experience with Git Lab, Bitbucket, or similar tools
- CI/CD pipeline architecture, maintenance, and optimization
- Strong Linux and Python automation
- Experience automating developer workflows, build systems, and integration tooling
- Experience supporting engineering teams in a platform‑as‑a‑service capacity
- Focus:
Managing and automating Kafka tooling and related platform services (on‑prem). - Key Requirements:
- Strong experience with Kafka clusters or Kafka tooling automation
- Python automation, Linux engineering, and Dev Ops best practices
- Experience managing distributed messaging systems
- Experience implementing monitoring, scaling, and automation around data pipelines
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