Cloud Platform Lead Consultant

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🤠 Texas – Distant

🤠 Texas – Remote

💵 $100 000 - $170 500 / an

⏰ Temps Plein

🟠 Senior

💼 Consultant

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Allstate

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1931

💼 Conseil

📦 Logistique

🛡️ Assurance

💰 Post-IPO Equity en 2014-01

Consulting • Logistics • Insurance

Allstate est un leader dans le secteur des solutions d'assurance, se concentrant sur la protection de la maison, de l'automobile, des appareils et de l'identité. Engagée envers le bien-être de ses clients, Allstate vise à assurer la tranquillité d'esprit et la sécurité financière de ses clients. L'entreprise met également l'accent sur l'impact communautaire et la durabilité à travers diverses initiatives, démontrant son engagement envers la responsabilité sociale et le changement positif.

Description

• Design, deploy, and manage highly available database platforms including Apache Cassandra, PostgreSQL, Redis, Valkey, Amazon Redshift, and Google BigQuery across multi-cloud environments. • Build, operate, and optimize data streaming infrastructure using Amazon MSK (Kafka), Google Pub/Sub, and Apache Flink to support real-time and batch data pipelines. • Develop and maintain infrastructure-as-code, CI/CD pipelines, and cloud automation using Python and industry-standard tooling to enable repeatable, secure deployments. • Implement comprehensive monitoring, alerting, and observability for data platform services to proactively detect and resolve issues before they impact customers. • Partner with application development teams to troubleshoot, tune, and optimize application performance, query patterns, and data access layers backed by team-managed platforms. • Administer and optimize analytics and query engines including Starburst Galaxy and AWS Athena to deliver performant, cost-effective access to large-scale datasets. • Lead incident response, root cause analysis, and post-incident reviews for production database and streaming systems; drive remediation and preventive improvements. • Participate in an on-call rotation to provide 24x7 support for mission-critical data infrastructure. • Evaluate and adopt emerging technologies—including AI agents and MCP servers—to automate operational tasks, improve developer experience, and accelerate DevOps workflows. • Contribute to capacity planning, disaster recovery, security hardening, and cost optimization initiatives across the data platform estate.

🎯 Exigences

• 3-5 or more years of overall software engineering or infrastructure experience, with at least 2-4 years in site reliability engineering, DevOps, or platform engineering operating production systems at scale. • Demonstrated expertise designing, deploying, and managing cloud infrastructure on AWS and/or Google Cloud Platform, including networking, identity, and security fundamentals. • Strong hands-on experience with relational and NoSQL databases; production experience with PostgreSQL and at least one distributed database such as Apache Cassandra. • Production experience operating data streaming platforms; hands-on experience with Apache Kafka (including Amazon MSK) and a solid understanding of streaming fundamentals (partitions, consumer groups, delivery semantics, backpressure). • Advanced, production-grade Python and Shell scripting development skills, including writing, reviewing, and debugging application code, building custom automation tooling, and developing operational solutions that go well beyond basic scripting. • Strong experience with infrastructure-as-code (e.g., Terraform, Terraform Enterprise (TFE), Env0), Jenkins, Ansible, Git CI/CD pipelines and container orchestration (e.g., Kubernetes) in production environments. • Experience implementing and automating monitoring, logging, and alerting solutions for distributed systems (e.g., Prometheus, Grafana, CloudWatch, Datadog, or equivalent), including building automated runbooks and self-healing remediation workflows. • Proven track record independently leading root cause analysis for complex production incidents that span infrastructure, databases, streaming pipelines, and application code layers.

🏖️ Avantages

• A comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. • Monthly connectivity reimbursement to help offset internet costs.