Cloud Platform Lead Consultant or Senior Consultant - Arity

About the role

Drive sales growth by engaging with interested prospective customers—no cold calling—Connect through inbound calls and proactive outbound calls with active insurance shoppers.

Enjoy competitive compensation with a base salary + uncapped performance-based incentives.

Sell reputable products from Allstate and our family of brands.

Responsibilities

• 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 24×7 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.
• Ability to review application source code, identify root causes of performance or reliability issues, and contribute targeted fixes or optimization guidance in collaboration with development teams.
• Demonstrated ability to rapidly adopt unfamiliar technologies and deliver production-ready solutions within days to a week; strong self-directed learning with a track record of picking up new platforms, frameworks, and tools independently.
• Proven ability to guide and advise software development teams on application-level performance tuning, query optimization, code-level improvements, and production troubleshooting—functioning as a technical authority on data platform usage patterns.
• Strong understanding of distributed systems principles including high availability, fault tolerance, consistency models, and disaster recovery.
• Excellent problem-solving, communication, and documentation skills with a track record of ownership in on-call and incident management environments.
• Ability to read, debug, and analyze Java application code including Spring Boot and microservice frameworks; proficiency in JVM diagnostics including heap dump analysis, GC tuning, thread dump interpretation, and connection pool (e.g., HikariCP) troubleshooting.

Qualifications

• 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.

Benefits

Compensation offered for this role is 100,000.00 – 170,500.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.