Cloud Engineer

• Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases
• Lead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams
• Build and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements
• Provide project leadership, planning, and execution across Property and GL data engineering initiatives
• Execute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns
• Translate actuarial and data science requirements into scalable, production-ready data solutions
• Adopt and embed MLOps practices across the model development and implementation lifecycle
• Establish data quality controls, profiling, and monitoring for model implementation and ongoing performance
• Present analysis and technical recommendations to influence data architecture and implementation decisions
• Provide technical leadership through code reviews, design guidance, and mentoring within the team
• Apply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives
• Perform other duties as assigned

Data Engineer II, AWS, Python, SQL

• Leads cross-functional teams to design, implement, and optimize Banner Health’s multi-cloud infrastructure across Azure, AWS, and OCI.
• Develop the long-term cloud strategy ensuring scalability, security, resiliency, and cost-effectiveness across the organization’s cloud systems.
• Work closely with Cloud Platform Engineering & Operations and Network Operations departments.
• Lead cloud adoption and migration, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation.
• Provide strategic and technical oversight in developing, managing, and optimizing multi-cloud environments.

Principal Cloud Architect

• Manage and optimize AWS services including ECS, Lambda, RDS, S3, CloudFront, and VPC configurations.
• Implement AWS best practices for security, performance, and cost optimization.
• Monitor and maintain system health across multiple environments (dev, staging, production).
• Conduct regular infrastructure audits and implement improvements.
• Design, implement, and maintain infrastructure using Pulumi.
• Automate infrastructure provisioning and configuration management.
• Manage environment configurations across dev, staging, and production.
• Implement version control and code review processes for infrastructure changes.
• Develop reusable infrastructure components and modules.
• Design, implement, and maintain disaster recovery plans for critical systems and databases.
• Develop and execute backup strategies for RDS databases, S3 data, and application configurations.
• Conduct regular DR drills and validate recovery procedures.
• Document and maintain runbooks for disaster recovery scenarios.
• Implement multi-region failover strategies for high-availability services.
• Perform routine system maintenance including patching, updates, and security hardening.
• Manage database maintenance tasks including backups, performance tuning, and capacity planning.
• Monitor system performance and proactively address potential issues.
• Coordinate maintenance windows and communicate with stakeholders.
• Maintain and rotate secrets, certificates, and access credentials.
• Support application deployments for Angular containers, NestJS servers, and Java Spring Boot services.
• Manage Docker container deployments to AWS ECS and serverless environments.
• Coordinate release of deployments and provide rollback support when needed.
• Maintain deployment documentation and standard operating procedures.
• Implement and maintain AWS security best practices including IAM policies, security groups, and encryption.
• Conduct regular security assessments and vulnerability remediation.
• Ensure compliance with industry standards for banking and financial services integrations.
• Manage access controls and audit logging across AWS environments.
• Maintain comprehensive monitoring solutions using CloudWatch, application logs, and custom metrics.
• Configure and tune alerting thresholds for infrastructure and application health.
• Participate in on-call rotation for production incidents.
• Conduct post-incident reviews and implement preventative measures.
• Monitor and optimize AWS costs through resource right sizing and reserved capacity planning.
• Identify and eliminate unused or underutilized resources.
• Implement cost allocation tags and provide cost reporting to stakeholders.
• Create and maintain operational documentation, runbooks, and architecture diagrams.
• Document system configurations, procedures, and troubleshooting guides.
• Share knowledge with development and operations teams through training and mentorship.
• Work closely with SRE team on infrastructure reliability and incident response.
• Partner with development teams to understand operational requirements.
• Collaborate with security team on compliance and vulnerability management.
• Participate in Scrum ceremonies and contribute to operational planning.

Senior AWS Cloud Engineer

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
• Design complex data solutions
• Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Data Engineer II – AWS, Databricks, AI

• Leverage expert-level C# programming skills to design, develop, and implement AI services
• Lead the technical integration of advanced cloud AI services
• Build cloud-based solutions in AWS, Azure, and GCP clouds
• Develop robust API layers using Azure API Management and Google Cloud APIGEE
• Provide hands-on technical leadership and mentorship to a team of engineers
• Drive agile development practices (Scrum/Kanban)
• Act as a technical subject matter expert for unblocking complex challenges
• Research, evaluate, and prototype new AI architectures
• Champion security-by-design principles into all AI platform components
• Collaborate with the information security team to implement enterprise-grade security features
• Prepare and present high-quality technical and non-technical documentation
• Proactively mitigate technical and operational risks associated with scaling AI systems

Staff Software Engineer, C#, Cloud

• Define and drive the technical direction for platform capabilities engineering
• Advocate for Infrastructure and Cloud platform capabilities across Thomson Reuters
• Provide technical leadership and guidance for all Platform Engineering Infrastructure teams
• Oversee compute server environments and lifecycle management
• Define, publish, and evolve TR’s cloud-native engineering standards
• Collaborate with senior leadership on vision for capabilities and services
• Manage global teams, delivering performance reviews and defining annual goals
• Represent Thomson Reuters externally at industry forums.

Vice President, Infrastructure & Cloud Engineering

• The API/Microservices/AWS Software Engineer designs and builds scalable, cloud-based microservices on AWS, using Java and modern DevOps practices.
• You’ll partner with architects and teams to deliver reliable, high-performing APIs and services in a fast-paced, Agile environment.
• Be involved in designing and building services in a continuous delivery model on a cloud platform.
• Partner with leads and architects to help establish a technical vision and deliver innovative services which are consistent, maintainable, and highly scalable for various commerce experiences.
• Work within microservices architecture, domain driven design, and RESTful APIs using Java.
• Work in a distributed/cloud-based environment, including Amazon Web Services & Kubernetes with high transaction volumes.
• Use data structures, algorithms, and architecture patterns.
• Define solutions, provide estimates on effort and risk, and evaluate technical feasibility.
• Use modern build strategies, continuous integration, unit testing, static analysis, and automated integration tests.
• Practice full DevOps to ensure a culture of testing and releasing software on Amazon Web Services continuously using automation and monitoring.
• Leverage NoSQL using Amazon Web Services to ensure data storage is designed for security, reliability, availability, maintainability, and performance.
• Deliver software in a Scrum development process.
• Perform technical code reviews and pair programming.
• Partner with other teams to ensure the service ecosystem is loosely coupled and scalable.

Software Engineer – API, Microservices, AWS

• Design, build, and maintain cloud-native data pipelines and data products across Azure and AWS using Databricks and Snowflake.
• Lead and contribute to the modernization and migration of on-prem and legacy data platforms to cloud-based solutions.
• Implement batch and streaming data processing patterns using Spark and cloud-native services.
• Partner with data governance, security, and risk teams to ensure data products comply with enterprise governance, data privacy, and regulatory requirements.
• Enable secure data sharing and access patterns across domains and platforms using appropriate controls.
• Define and promote data engineering best practices, including CI/CD, testing, observability, performance tuning, and cost optimization.
• Collaborate with product owners and analytics teams to translate business requirements into well-modeled, high-quality datasets.
• Work closely with cloud and security architects to implement secure, scalable, and resilient data solutions.
• Support and mentor junior engineers through design reviews, code reviews, and technical guidance.

Lead Cloud Data Engineer – Multi-Cloud Data Platforms

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Data Engineer I, AWS, Python, GenAI

• Assess the existing Azure environment, infrastructure dependencies, and modernization requirements to inform the target architecture
• Design the Azure tenant structure, including management groups, subscriptions, landing zones, networking, and resource organization
• Define cloud architecture standards, naming conventions, tagging strategies, and architecture decision records (ADRs)
• Advise on identity and access management, including Entra ID, RBAC, PIM, Conditional Access, and least-privilege access models
• Develop secure networking and connectivity patterns between Azure, on-premises systems, federal partners, and external integrations
• Define Infrastructure-as-Code standards, reusable modules, repository structure, and CI/CD workflows for development teams
• Produce architecture documentation, operational guidance, governance artifacts, and platform runbooks to support long-term maintainability

Azure Architect

• Develop and maintain AWS-based applications with a focus on IVR and telephony systems
• Build resilient IVR solutions ensuring proper failure handling, retries, and fallback logic
• Manage AWS infrastructure using Infrastructure as Code practices
• Design and integrate APIs for seamless IVR workflows
• Model and access data using DynamoDB to support application functionality
• Collaborate with cross-functional teams to enhance application performance and reliability

Senior AWS Connect Developer

• Serve as a subject matter expert for enterprise cybersecurity platforms including Tenable/Nessus, Varonis, Microsoft Defender, Microsoft Purview, Splunk, and Azure security services.
• Design, implement, and maintain a stable, secure, and scalable security tooling environment across cloud and hybrid infrastructure.
• Engineer and continuously improve vulnerability management capabilities, including scan coverage, asset classification, prioritization, workflows, and integrations.
• Develop and expand data loss prevention and data protection use cases using Varonis and Microsoft Purview.
• Increase security value by identifying and implementing new use cases from existing tools that were previously unused or underutilized.
• Write and maintain automation and integration code (Python, PowerShell, Bash) to reduce manual effort and increase consistency.
• Provide Tier3 operational support including troubleshooting platform issues and participating in incident investigations.
• Perform root-cause analysis for platform and security issues and implement long-term corrective actions.
• Create and maintain high-quality technical documentation including runbooks, operational procedures, and design documentation.
• Collaborate closely with other teams on roadmap planning tool onboarding, and architectural decisions.
• Mentor and provide technical guidance to less experienced engineers on the team.

• Provides service desk engineering escalation support within the J7 endpoint/identity scope
• Handles complex/escalated ticket resolution tied to imaging, baseline, enrollment, patching, and telemetry (not routine Tier 1).

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