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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