Note: The job is a remote job and is open to candidates in USA. Arity, part of Allstate Corporation, collects and analyzes large volumes of data to provide transportation-focused mobility solutions. The Cloud Platform Senior Consultant will design, deploy, operate, and optimize cloud-native data infrastructure across AWS and Google Cloud Platform, including databases, streaming platforms, and distributed systems. The role also partners with application teams on performance, reliability, observability, incident response, and cost optimization.
Responsibilities
- Build, operate, and optimize data streaming infrastructure using Amazon MSK (Kafka) or Google Pub/Sub to support real-time and batch data pipelines
- Design, deploy, and manage highly available database and caching platforms—including PostgreSQL, Redis, Valkey, Amazon Redshift, and Google BigQuery—across multi-cloud environments
- Develop and maintain infrastructure-as-code, CI/CD pipelines, and cloud automation using Terraform, Python and industry-standard tooling to enable repeatable, secure deployments
- Implement 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
- Participate in incident response, root cause analysis, and post-incident reviews for production database and streaming systems; drive remediation and preventive improvements
- Share on-call rotation to provide support for mission-critical data infrastructure
- Review application source code, identify performance or reliability issues, and collaborate on targeted fixes or optimization guidance with development teams
- Evaluate emerging tools and automation approaches—including AI-assisted workflows—to improve operational efficiency and developer experience
- Contribute to capacity planning, disaster recovery, security hardening, and cost optimization initiatives across the data platform estate
Skills
- • 3–5 years of software engineering or infrastructure experience, with at least 2 years in SRE, DevOps, or platform engineering operating production systems at scale
- • Hands-on experience designing, deploying, and managing cloud infrastructure on AWS and/or Google Cloud Platform, including networking, identity, and security fundamentals
- • Production experience operating data streaming platforms; hands-on work with Apache Kafka (including Amazon MSK or Confluent Kafka) and a solid understanding of partitions, consumer groups, delivery semantics, and backpressure
- • Production experience with relational and NoSQL databases; PostgreSQL required, plus familiarity with distributed data stores
- • Strong Python and Shell scripting for automation, custom tooling, and operational solutions that go beyond basic scripts
- • Strong experience with infrastructure-as-code (e.g., Terraform), CI/CD (e.g., Jenkins, Git), Ansible, and container orchestration (e.g., Kubernetes) in production environments
- • Experience implementing and automating monitoring, logging, and alerting for distributed systems (e.g., Prometheus, Grafana, CloudWatch, Datadog, or equivalent), including automated runbooks where applicable
- • Proven ability to contribute to root cause analysis for production incidents spanning infrastructure, databases, streaming pipelines, and application code layers
- • Strong problem-solving, communication, and documentation skills with a track record of ownership in on-call and incident management environments
- • Working understanding of distributed systems principles including high availability, fault tolerance, consistency models, and disaster recovery
- Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload
- • Production experience with Apache Cassandra, including cluster operations, performance tuning, and troubleshooting in distributed environments
- • Knowledge of DynamoDB, ElastiCache, Apache NiFi, or self-managed Apache Flink, including checkpoint management, flow design, and streaming job troubleshooting
- • Advanced experience with Apache Kafka, Google Pub/Sub, and operating streaming workloads across both AWS and GCP
- • Experience administering or optimizing Starburst Galaxy, Trino, or AWS Athena for large-scale analytics workloads
- • Experience building AI agents, Model Context Protocol (MCP) servers, or LLM-based tooling to automate DevOps, observability, or operational workflows
- • Familiarity with Java/Spring Boot application troubleshooting, JVM diagnostics (heap dumps, GC tuning, thread dumps, connection pool analysis), or reading Golang production code for performance analysis
- • Experience with data pipeline orchestration (e.g., Apache Airflow, dbt), event-driven architectures, or enterprise PaaS platforms (e.g., Cloud Foundry)
- • AWS or Google Cloud professional-level certifications, performance benchmarking, query plan analysis, database capacity planning, APM/distributed tracing, or open-source contributions in database, streaming, or infrastructure projects
Benefits
- Fully remote position.
- Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
- Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
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