Cloud Platform Lead Consultant

Allstate

. Build, operate, and optimize data streaming infrastructure using Amazon MSK (Kafka) or Google Pub/Sub .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $100,000 - $170,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing data streaming infrastructure, managing cloud environments, and implementing infrastructure-as-code practices. Proficient in monitoring and incident management, with a strong foundation in distributed systems principles.

Highest-signal resume keywords

Amazon MSK (Kafka) ExperienceTerraform for Infrastructure-as-CodePython and Shell ScriptingPostgreSQL Database ManagementCI/CD Pipeline Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Streaming InfrastructureCloud Infrastructure ManagementDistributed Systems PrinciplesMonitoring and Alerting ImplementationRelational and NoSQL DatabasesIncident Response and Root Cause AnalysisAutomation with AnsibleContainer Orchestration with KubernetesNetworking FundamentalsSecurity Fundamentals

Soft Skills

Problem-SolvingCommunicationDocumentationOwnership in Incident Management

Tools & Technologies

AWSGoogle Cloud PlatformJenkinsGitStarburst GalaxyAWS AthenaApache KafkaConfluent KafkaCI/CD ToolsCloud Automation Tools

Industry Keywords

SREDevOpsPlatform EngineeringHigh AvailabilityFault ToleranceDisaster RecoveryCapacity PlanningCost OptimizationCloud AutomationIncident Management

Tech Stack

Tools & technologies

AnsibleApacheAWSCloudDistributed SystemsGoogle Cloud PlatformJenkinsKafkaKubernetesNoSQLPostgresPythonShell ScriptingTerraform

About the role

Key responsibilities & impact

Build, operate, and optimize data streaming infrastructure using Amazon MSK (Kafka) or Google Pub/Sub
Design, deploy, and manage highly available database and caching platforms across multi-cloud environments
Develop and maintain infrastructure-as-code, CI/CD pipelines, and cloud automation using Terraform and Python
Implement monitoring, alerting, and observability for data platform services
Partner with application development teams to troubleshoot, tune, and optimize application performance and data access layers
Administer and optimize Starburst Galaxy and AWS Athena
Participate in incident response, root cause analysis, and post-incident reviews
Share on-call rotation to support mission-critical data infrastructure
Review application source code and collaborate on targeted fixes and optimization guidance
Evaluate emerging tools and AI-assisted automation approaches
Contribute to capacity planning, disaster recovery, security hardening, and cost optimization

Requirements

What you’ll need

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 understanding of partitions, consumer groups, delivery semantics, and backpressure
Production experience with relational and NoSQL databases; PostgreSQL required
Strong Python and Shell scripting for automation and operational solutions
Strong experience with infrastructure-as-code such as Terraform, CI/CD such as Jenkins and Git, Ansible, and container orchestration such as Kubernetes in production environments
Experience implementing and automating monitoring, logging, and alerting for distributed systems
Proven ability to contribute to root cause analysis for production incidents
Strong problem-solving, communication, and documentation skills with ownership in on-call and incident management environments
Working understanding of distributed systems principles including high availability, fault tolerance, consistency models, and disaster recovery
Background investigation required
Dedicated, private workspace and reliable internet with minimum speeds of 50 MB download and 5 MB upload when working from home

Benefits

Comp & perks

Comprehensive technology setup including a laptop, monitors, headset, keyboard, and mouse
Monthly connectivity reimbursement to help offset internet costs for employees eligible to work from home