DevOps Engineering,
Job Description
**This position supports hybrid work schedule depending on organization needs.**
RESPONSIBILITIES:
~ Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.
~ Build and optimize Docker-based microservices, images, and deployment pipelines.
~ Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.
~ Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.
~ Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.
~ Design multi-environment strategies for dev, QA, staging, and production deployment.
~ Implement cloud-native services with AWS & Azure cloud platforms.
~ Implement basic security practices, including IAM roles, secrets management, and access controls.
~ Develop secure, modular, reusable build and release systems.
~ Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).
~ Mentor junior DevOps engineers and lead DevOps roadmap decisions.
KNOWLEDGE REQUIREMENTS:
DevOps Expertise :
Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.
Containerization & Orchestration :
Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.
Cloud Technologies :
Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).
Programming / Scripting Languages :
Python, Bash, Linux/Unix administration, awk, shell automation, groovy.
Infrastructure Automation :
Ansible playbooks, tasks/roles, inventory design, configuration management.
Distributed Deployment Architecture :
Multi-site replication, node selection by IP, dynamic service routing.
Database Stack Experience :
PostgreSQL, MySQL, MariaDB operations & migrations.
Observability & Logging :
CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.
Version Control & Build Systems :
Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.
Nice to have AI knowledge/experience and willingness to learn.
EDUCATION & EXPERIENCE REQUIREMENTS
~ BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
~7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.
RESPONSIBILITIES:
~ Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.
~ Build and optimize Docker-based microservices, images, and deployment pipelines.
~ Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.
~ Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.
~ Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.
~ Design multi-environment strategies for dev, QA, staging, and production deployment.
~ Implement cloud-native services with AWS & Azure cloud platforms.
~ Implement basic security practices, including IAM roles, secrets management, and access controls.
~ Develop secure, modular, reusable build and release systems.
~ Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).
~ Mentor junior DevOps engineers and lead DevOps roadmap decisions.
KNOWLEDGE REQUIREMENTS:
DevOps Expertise :
Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.
Containerization & Orchestration :
Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.
Cloud Technologies :
Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).
Programming / Scripting Languages :
Python, Bash, Linux/Unix administration, awk, shell automation, groovy.
Infrastructure Automation :
Ansible playbooks, tasks/roles, inventory design, configuration management.
Distributed Deployment Architecture :
Multi-site replication, node selection by IP, dynamic service routing.
Database Stack Experience :
PostgreSQL, MySQL, MariaDB operations & migrations.
Observability & Logging :
CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.
Version Control & Build Systems :
Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.
Nice to have AI knowledge/experience and willingness to learn.
EDUCATION & EXPERIENCE REQUIREMENTS
~ BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
~7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.
