Principle Pride
Website:
principlepride.com
Job details:
We are looking for a versatile **DevOps Engineer** to design, build, and operate the automation
backbone of our platform. You will own CI/CD pipelines, infrastructure automation, and the integration of
AI-driven capabilities into our engineering workflows. The ideal candidate blends strong hands-on
DevOps skills (Ansible, Jenkins, Python) with a working knowledge of APIs and emerging AI engineering
practices.
## What You'll Do
- Design, build, and maintain **CI/CD pipelines** using Jenkins (declarative pipelines, shared libraries,
multi-branch workflows).
- Develop **infrastructure-as-code and configuration management** with Ansible (playbooks, roles,
dynamic inventories, Ansible Vault).
- Write robust **automation tooling and scripts in Python** for provisioning, orchestration, monitoring,
and remediation.
- Build and consume **REST/GraphQL APIs** to integrate internal and third-party systems, orchestrate
services, and enable self-service tooling.
- Integrate **AI/ML capabilities** into engineering workflows — e.g., LLM-assisted automation, intelligent
alerting, prompt engineering, and RAG-based internal tools.
- Automate build, test, release, and deployment processes to reduce manual effort and increase delivery
velocity.
- Implement observability: logging, metrics, tracing, and alerting for services and pipelines.
- Champion security and reliability best practices (secrets management, least-privilege access, automated
compliance checks).
- Collaborate with development, QA, and security teams to continuously improve the delivery lifecycle.
## Required Skills & Experience
- **5+ years** of hands-on DevOps / Site Reliability / Automation engineering experience.
- Strong expertise with **Ansible** for configuration management and automation.
- Proficiency in **Python** for scripting, tooling, and automation.
- Solid experience with **Jenkins** and CI/CD pipeline design.
- Practical **API knowledge** — designing, consuming, testing, and securing RESTful APIs (auth, rate
limiting, versioning).
PUBLIC
- Experience with version control (Git) and branching/release strategies.
- Familiarity with Linux systems administration and shell scripting.
- Understanding of containerization and orchestration (Docker, Kubernetes) — a plus.
- Cloud experience (AWS, Azure, or GCP) — a plus.
## AI Engineering Experience
- Exposure to **AI/LLM engineering** concepts: prompt engineering, model APIs (OpenAI, Anthropic,
Azure OpenAI, etc.), embeddings, and RAG pipelines.
- Ability to integrate AI services via APIs into automation and operational tooling.
- Interest in applying AI to DevOps: predictive scaling, anomaly detection, automated incident response,
and ChatOps.
## Nice to Have
- Infrastructure-as-Code with Terraform.
- Experience with monitoring stacks (Prometheus, Grafana, ELK).
- Knowledge of security automation and vulnerability management workflows.
- Familiarity with message queues / event-driven architectures.
Click on Apply to know more.
