
10,000+ employees
Founded 1931
💸 Finance
💰 Post-IPO Equity on 2014-01
Insurance • Finance
Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.
🔥 5 minutes ago
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10,000+ employees
Founded 1931
💸 Finance
💰 Post-IPO Equity on 2014-01
Insurance • Finance
Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.
• 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.
• 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.
• A comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. • Monthly connectivity reimbursement to help offset internet costs.
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