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Linux Engineer/DevOps 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 DevOps, 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. DevOps 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. DevOps 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. DevOps 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. DevOps 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
