- Company Name
- Util-Assist Inc.
- Job Title
- Cloud Engineer (Hybrid)
- Job Description
-
**Job title:** Cloud Engineer (Hybrid)
**Role Summary:**
Design, implement, and maintain scalable, secure, and high‑performance cloud environments and data platforms for utility clients. Deliver end‑to‑end cloud solutions across Azure, AWS, or GCP, enabling analytics, data processing, and regulatory compliance while driving automation, cost optimization, and governance.
**Expectations:**
- Build and operate resilient multi‑cloud infrastructures supporting customer, metering, asset, grid, energy, regulatory, and finance data domains.
- Collaborate with product owners, data engineers, and architects to translate business requirements into cloud deployments.
- Champion DevOps practices, CI/CD pipelines, and cloud governance to ensure reliability, security, and compliance.
**Key Responsibilities:**
- Design, provision, and maintain compute, storage, and networking resources in Azure, AWS, or GCP, including hybrid and multi‑cloud setups.
- Create and manage CI/CD pipelines for cloud‑based applications and data services using GitOps, Terraform/ARM/CloudFormation, and container orchestration (Docker, Kubernetes).
- Assess and recommend cost‑effective, secure, and compliant cloud architectures aligned with enterprise goals.
- Integrate and orchestrate modern data platforms (Databricks, Snowflake, Azure Synapse, Microsoft Fabric, Kafka, ADF, dbt, Informatica).
- Monitor, log, and alert on performance, availability, and security; automate remediation and scaling.
- Implement cloud governance, security, identity management, and compliance controls (IAM, encryption, audit).
- Evaluate and adopt emerging cloud technologies and best practices to enhance scalability, performance, and modernization.
- Document architectures, deployment processes, and provide training to teams and clients.
- Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.
**Required Skills:**
- 5+ years designing, implementing, and managing cloud solutions for data, analytics, and enterprise applications.
- Expertise in at least one major cloud platform (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
- Proven CI/CD pipeline development and automation (Git, Jenkins, GitHub Actions, Azure DevOps, Argo CD).
- Strong knowledge of modern cloud data technologies (Databricks, Snowflake, Azure Synapse, Kafka, dbt, Informatica).
- Experience with data pipeline orchestration, event‑driven architectures, and real‑time/streaming data.
- Familiarity with infrastructure‑as‑code (Terraform, ARM, CloudFormation), serverless computing, and cloud cost optimization.
- Solid understanding of cloud security, encryption, identity management, and compliance frameworks.
- Excellent communication skills; ability to translate technical concepts into business‑friendly language.
- Agile and DevOps mindset; ability to work in cross‑functional teams.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or related field.
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect) are highly desirable.