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Linux Platform Engineer (Python Automation/On-Prem Linux is a MUST)
Location: Houston, Texas OR Boston, Massachusetts – on-site 4 days a week
Salary: Very generous Salaries will be paid to exceptional candidates
This 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.
Overview
- We 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 automation
- Expert-level Linux engineering/administration
- Hands-on on-premise DevOps experience (not cloud-only)
- Experience supporting large enterprise environments
- Strong understanding of CI/CD workflows and DevOps methodologies
- Ability to collaborate with Engineering, Operations, and Platform teams
- Titles that align with: DevOps Engineer, Platform Engineer, SRE, Infrastructure Engineer
Position 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 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
Core Required Qualifications (Applies to All Profiles)
- Degree in Computer Science, Engineering, or related field (or equivalent experience)
- 4–10 years of SRE, Platform Engineering, or Linux Engineering experience
- Python development experience for advanced 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
Preferred / Nice-to-Have Skills (General)
- 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 (GitLab, Bitbucket, Jenkins)
- Experience with large-scale storage, compute, or distributed systems
Four Specialized Role Profiles
1. Linux Platform Engineer – Scheduling & Orchestration (Kubernetes Specialist)
Focus: Managing and administering on-prem Kubernetes clusters and scheduling infrastructure.
Key Requirements
- Strong experience with Kubernetes (K8s) 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
2. Linux Platform Database Engineer – Postgres/MongoDB (DaaS)
Focus: On-premise DevOps engineering for large-scale database environments.
Key Requirements
- Strong expertise with PostgreSQL (must-have)
- Experience with MongoDB (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)
3. Linx Platform Engineer – Developer Tools & CI/CD
Focus: Building and improving developer workflows, pipelines, and automation toolchains.
Key Requirements
- Strong experience with GitLab, 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
4. Linux Platform Engineer – Kafka Tooling
Focus: Managing and automating Kafka tooling and related platform services (on-prem).
Key Requirements
- Strong experience with Kafka, Kafka clusters, or Kafka tooling automation
- Python automation, Linux engineering, and DevOps best practices
- Experience managing distributed messaging systems
- Experience implementing monitoring, scaling, and automation around data pipelines
