DevOps Engineer (Python Automation/On-Prem Linux is a MUST) Location: Houston Texas OR Boston, Mas

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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



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