Lead DevOps/AIOps Engineer

🔥 0 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $130k - $155k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Lead the design and implementation of cloud-native DevOps and MLOps architectures on GCP • Build and optimize CI/CD pipelines for data, ML, and application workloads • Develop infrastructure-as-code using tools such as Terraform and establish repeatable deployment patterns • Architect and operationalize data platforms using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer • Build MLOps capabilities across model development, deployment, monitoring, versioning, and retraining • Establish observability across data and ML platforms, including logging, monitoring, alerting, pipeline health, data quality, and model performance • Implement secure, scalable cloud infrastructure using GCP IAM, networking, secrets management, and security controls • Partner with Data Engineers, ML Engineers, Architects, and client stakeholders to translate business requirements into production-ready solutions • Establish engineering standards for deployment automation, testing, environment management, reliability, and operational excellence • Troubleshoot complex production issues and drive root-cause analysis and long-term remediation • Mentor engineers and serve as a technical leader across DevOps, cloud, data, and MLOps initiatives • Evaluate emerging GCP and AI technologies for business and engineering value

🎯 Requirements

• 7+ years of experience in DevOps, cloud engineering, platform engineering, MLOps, or a related discipline • Strong hands-on experience with Google Cloud Platform, particularly BigQuery and cloud-native data services • Experience designing and implementing end-to-end data platforms on GCP • Strong understanding of BigQuery architecture, performance optimization, data ingestion, partitioning, clustering, and data security • Experience with CI/CD, Git, automated testing, containerization, and Kubernetes/GKE • Strong Infrastructure-as-Code experience, preferably Terraform • Experience with Vertex AI and/or production ML platforms, including model deployment and monitoring • Experience with Cloud Composer/Airflow, Dataflow, Dataproc/Spark, and Pub/Sub • Strong understanding of observability, reliability engineering, monitoring, logging, and alerting • Proficiency with Python and/or Bash • Strong understanding of cloud security, IAM, networking, secrets management, and enterprise governance • Ability to operate at architectural and hands-on engineering levels • Excellent communication skills and ability to work with technical teams and senior client stakeholders • Nice to have: Vertex AI, MLflow, Kubeflow, GenAI/LLM production solutions, Docker and Kubernetes/GKE, data quality, data lineage, metadata management, semantic data layers, AWS or Azure, and consulting/professional services experience