Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto "Building Success Together," Nisum has grown to over 1,800 professionals across the United States, Chile, Colombia, India, Pakistan, and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today's world, with immersive and seamless experiences across digital and physical channels.
We are seeking a highly experienced DevOps Engineer Enterprise Data & Analytics to support, secure, and scale enterprise data, analytics, and business insights platforms. The ideal candidate will be responsible for designing, building, automating, and maintaining the cloud infrastructure that powers data engineering pipelines, data governance frameworks, and reporting capabilities. This role will play a critical part in enabling reliable, secure, and scalable data-driven solutions across the organization while collaborating closely with data engineering, governance, and technology teams.
What You'll Do:
- Design, secure, and maintain scalable Google Cloud Platform (Google Cloud Platform) environments using VPC architecture, subnets, firewall rules, and advanced security controls.
- Implement and manage Google Cloud Platform security controls including VPC Service Controls, IAM policies, encryption, and auditing frameworks.
- Build, maintain, and optimize CI/CD pipelines using Jenkins for data pipelines, infrastructure code, and application deployments.
- Automate infrastructure provisioning, network configurations, and security baselines using Infrastructure as Code (IaC) practices with Terraform.
- Deploy, manage, and maintain BigQuery data assets, datasets, and tables while enforcing security, access controls, and compliance requirements.
- Create, deploy, and maintain Google Cloud Dataflow and Cloud Composer (Airflow) jobs to support reliable batch and streaming data pipelines.
- Manage and optimize Google Cloud Pub/Sub and Dataproc workloads as part of enterprise data processing ecosystems.
- Deploy, manage, scale, and troubleshoot containerized workloads using Google Kubernetes Engine (GKE) and Kubernetes.
- Use Helm and Git to support application deployments, configuration management, and release automation.
- Monitor pipeline and infrastructure performance, troubleshoot latency and security bottlenecks, and maintain high availability across enterprise data services.
- Partner closely with data engineering and data governance teams to maintain compliance, enforce data protection standards, and streamline operational handoffs.
- Troubleshoot production issues across cloud infrastructure, CI/CD pipelines, Kubernetes environments, networking, and data platforms.
What You Know:
- Strong hands-on experience with Google Cloud Platform (Google Cloud Platform) infrastructure, networking, and cloud services.
- Deep understanding of Google Cloud Platform VPC architecture, subnets, firewall rules, routing, and hybrid cloud connectivity.
- Hands-on experience with Google Cloud Platform security controls, VPC Service Controls, IAM, encryption, and auditing frameworks.
- Strong experience designing and managing CI/CD pipelines using Jenkins.
- Proficiency with Terraform, Helm, and Git for Infrastructure as Code and deployment automation.
- Production experience supporting BigQuery, Dataflow, Cloud Composer/Airflow, Pub/Sub, and Dataproc.
- Strong experience deploying and managing containerized workloads using GKE and Kubernetes.
- Ability to monitor, troubleshoot, and optimize cloud infrastructure and data pipelines for performance, scalability, reliability, and high availability.
- Strong understanding of enterprise security, compliance, data protection, and access-control practices.
- Excellent problem-solving and troubleshooting skills with the ability to work effectively with data engineering, governance, and DevOps teams.
- Preferred Qualifications
- Experience supporting large-scale enterprise data and analytics environments.
- Experience with Google Cloud Platform networking and hybrid cloud architectures.
- Strong knowledge of Kubernetes, Helm, and containerized application deployments.
- Experience automating cloud infrastructure and security configurations using Terraform.
- Experience with Jenkins-based enterprise CI/CD environments.
- Exposure to batch and streaming data processing architectures.
- Experience working in Agile/Scrum environments.
- Strong communication and cross-functional collaboration skills.
Education:
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
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