Devops engineer vacancy

US staffing Inc; Boston (MA); On-site; USD 100,000 - 140,000; Full time

Job summary

US staffing Inc is seeking a skilled DevOps Engineer in Boston, MA. The role involves building CI/CD pipelines, automating deployments, and managing cloud resources effectively. The candidate will implement security measures and logging for critical data processes.

Applicants must have extensive experience with Snowflake, Airflow, and cloud platforms, along with strong scripting skills. A Bachelor’s degree in a related field is required. Join our team to enhance data workflows and ensure operational excellence.

Qualifications

• 3–7+ years in DevOps, Cloud Engineering, or Data Platform Engineering roles.
• Experience with CI/CD, data management, and cloud platforms.
• Ability to troubleshoot complex distributed data workloads.

Responsibilities

• Build and maintain CI/CD pipelines for data workflows.
• Integrate testing and security scanning into deployment processes.
• Develop IaC using Terraform for Snowflake and cloud resources.
• Implement logging and alerting for performance monitoring.
• Manage configuration across multi-cloud setups.

Skills

CI/CD skills using GitLab, GitHub Actions, Azure DevOps, Jenkins

Proficiency with Terraform, Python, and Shell scripting

Deep understanding of cloud platforms: AWS, Azure, or GCP

Strong knowledge of networking concepts and security controls

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Snowflake

Apache Airflow

Informatica (IICS)

Docker

Kubernetes

Job description

Devops Engineer

Location: Boston, MA

Contract

Responsibilities

• Build and maintain CI/CD (Continuous Integration/Continuous Delivery/Deployment) pipelines for Snowflake, Informatica (IICS), and Airflow DAG deployments.
• Implement automated code promotion between development, test, and production environments.
• Integrate testing, linting, and security scanning into deployment processes.
• Develop IaC (Infrastructure as Code) using Terraform or similar tools to manage Snowflake objects, network, and cloud resources.
• Manage configuration and environment consistency across multi‑region/multi‑cloud setups.
• Maintain secure connectivity between cloud and on‑prem systems (VPNs, private links, firewalls).
• Implement logging and alerting for Airflow DAGs, Informatica workflows, and Snowflake performance.
• Develop proactive monitoring dashboards for job failures, data quality triggers, and warehouse usage.
• Optimize pipeline performance, concurrency, and cost governance in Snowflake.
• Own deployment frameworks for ETL/ELT code, SQL scripts, metadata updates.
• Support user access provisioning & RBAC alignment across Snowflake, Informatica, and Airflow.
• Troubleshoot platform and orchestration issues, lead incident response during outages.
• Enforce DevSecOps practices including encryption, secrets management, and key rotation.
• Implement audit, logging, compliance, and backup/restore strategies aligned with governance requirements.
• Participate in testing, deployment, and release management for new data workflows and enhancements.

Required Qualifications

3–7+ years in DevOps, Cloud Engineering, or Data Platform Engineering roles.

Hands‑on Experience

• Snowflake (roles, warehouses, performance tuning, cost control).
• Apache Airflow (DAG orchestration, monitoring, deployments).
• Informatica (IICS pipeline deployment automation preferred).
• Strong CI/CD skills using GitLab, GitHub Actions, Azure DevOps, Jenkins, or similar.
• Proficiency with Terraform, Python, and Shell scripting.
• Deep understanding of cloud platforms: AWS, Azure, or GCP.
• Experience with containerization (Docker, Kubernetes), especially for Airflow.
• Strong knowledge of networking concepts and security controls.

Preferred Knowledge, Skills & Abilities

• Experience migrating from SQL Server or other legacy DW platforms.
• Knowledge of FinOps practices for Snowflake usage optimization.
• Background in healthcare, finance, or regulated industries a plus.

Soft Skills

• Effective communication with technical and non‑technical stakeholders.
• Ability to troubleshoot complex distributed data workloads.
• Strong documentation and cross‑team collaboration skills.
• Proactive and committed to process improvement and automation.
• Detail‑oriented, with a focus on data accuracy and process improvement.

Education and Certification

Bachelor’s degree or equivalent years in Computer Science, Information Systems, Data Engineering, Health Informatics, or related field.