Cloud Engineer

• Design, implement, and maintain secure, scalable Azure cloud infrastructure supporting enterprise applications and customer-facing platforms.
• Build and manage Azure services including Virtual Networks, AKS, Azure App Services, Azure Functions, Storage, Key Vault, SQL Database, Cosmos DB, and other core platform services.
• Implement infrastructure-as-code solutions using Terraform, Bicep, ARM templates, or similar technologies.
• Drive cloud architecture improvements focused on scalability, resiliency, performance, and cost optimization.
• Develop automated provisioning, deployment, and operational workflows.
• Enhance CI/CD pipelines and deployment automation using Azure DevOps, GitHub Actions, or similar platforms.
• Improve developer productivity through self-service infrastructure and platform capabilities.
• Establish infrastructure standards, reusable modules, and engineering best practices.
• Design and implement monitoring, alerting, logging, and observability solutions.
• Partner with Security Engineering to implement cloud security controls, compliance requirements, and governance standards.
• Support incident response, root cause analysis, problem management, and service restoration activities.
• Drive proactive reliability improvements and continuous operational excellence.
• Lead complex cloud infrastructure initiatives with minimal supervision.
• Evaluate emerging technologies and recommend improvements to platform architecture.
• Mentor engineers and provide technical guidance across teams.
• Partner with Engineering, Product, Architecture, Security, and Operations teams to deliver business outcomes.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Senior Cloud Engineer – Azure

• Hands-on development of end-to-end AI solutions to solve complex business problems
• Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud
• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour effects product experience
• Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, etc
• Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards
• Applying cloud platform security features (e.g., encryption, identity and access management, secure API integrations) to ensure AI applications adhere to enterprise and regulatory requirements
• Collaborating with internal stakeholders to create AI-enabled solutions for repeatable business problems and develop functional prototypes to validate feasibility and applicability of AI technologies to practical use cases and challenges
• Establishing best practices in AI governance principles ensuring ethical use, transparency, risk management while delivering high-quality services to clients.

Senior AI/ML Cloud Developer

• Design, implement, and maintain security controls and policies across AWS
• Lead integration of security practices into the DevOps lifecycle
• Monitor cloud environments for threats and respond to incidents
• Support compliance initiatives such as ISO 27001 and SOC 2
• Educate teams on safe AI practices

Senior Cloud & Security Engineer

• Lead product support operations for enterprise applications across Azure, AWS and other cloud environments that deliver solutions to Caterpillar dealers and customers around the world.
• Lead and mentor a cross-functional team of support engineers, data scientists and application developers driving operational excellence, accountability, and continuous improvement.
• Ensure applications adhere to corporate data privacy and cyber security policies and controls.
• Oversee incident management, root cause analysis, and problem resolution, reducing recurring issues and improving system stability.
• Coordinate and support major system releases and cutovers, ensuring minimal customer impact and smooth transitions.
• Develop and maintain standard operating procedures (SOPs) and knowledge documentation to improve team efficiency and onboarding.
• Partner with third-party vendors and internal IT teams to provide application enhancements to ensure overall application performance and improvements in reliability, maintainability, and customer experience.

Product Support Manager – Cloud Services, Tool Development

• 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

• Leads the design, implementation and optimization of cloud-native solutions using AWS services such as EC2, Lambda, S3, RDS, EKS, and more and with a keen focus on cost management and optimization.
• Design and implement cloud infrastructure solutions that incorporate regulatory, risk, and compliance requirements by applying established security controls and engineering best practices.
• Troubleshoots complex infrastructure problems, often spanning multiple layers of the stack and requiring collaboration across teams.
• Leads root cause analyses for incidents and participates in the team’s 24/7 on-call rotation.
• Partners with Security and Compliance teams to ensure cloud environments meet regulatory requirements (e.g., PCI-DSS, SOC 2, FFIEC) and leads internal and external audit reviews collecting evidence and responding to audit requests in a timely manner.
• Architects and implements disaster recovery plans ensuring that our systems are highly available, fault-tolerant, and able to recover from failure.
• Implements and enforces cloud security best practices including IAM policies, VPC design, encryption and key management (KMS).
• Drives the adoption and implementation of Infrastructure as code (IAC) using Terraform and leveraging CI/CD best practices.
• Oversees the cloud vulnerability management and configuration program ensuring patching meets our Service Level Agreements (SLAs).
• Maintains comprehensive technical documentation of cloud infrastructure, policies, and procedures.
• Designs cloud infrastructure for robustness, security, and observability, including logging and alerting solutions (e.g., Prometheus, Grafana, ELK Stack, Splunk).
• Provides leadership and technical expertise in support of building a technical plan and backlog of stories, then follows through on execution of the design and build process through to production delivery.
• Supports the company’s commitment to risk management and protect the integrity and confidentiality of systems and data.

Staff Engineer – Cloud Engineering

• Defines and leads cloud engineering strategy, reference architectures, and technical standards for AWS-based infrastructure and platform capabilities.
• Design and implement scalable technical solutions that address regulatory, risk, and compliance requirements by integrating effective controls into cloud platforms and engineering practices.
• Leads the design of highly scalable, resilient, secure, and cost-optimized cloud-native solutions using AWS services such as EC2, Lambda, S3, RDS, EKS, IAM, VPC, KMS, and related services.
• Solves the most complex infrastructure and platform problems, including issues that span multiple systems, teams, and technology layers.
• Leads root cause analysis for significant incidents, drives durable corrective actions, and improves platform reliability, resiliency, and operational readiness.
• Establishes enterprise patterns for infrastructure as code, automation, and CI/CD practices using tools such as Terraform and related delivery tooling.
• Partners with Security, Risk, and Compliance teams to design and maintain cloud controls that meet regulatory and policy requirements, including PCI-DSS, SOC 2, FFIEC, and other applicable standards.
• Provides technical leadership for internal and external audits by shaping control evidence approaches, addressing audit requests, and improving audit readiness.
• Architects disaster recovery, high availability, backup, and fault-tolerant strategies for critical cloud services and validates recovery approaches through testing and continuous improvement.
• Defines and enforces cloud security best practices including identity and access management, network segmentation, encryption, key management, secrets handling, and secure workload configuration.
• Drives cloud vulnerability management and configuration compliance strategies to ensure remediation, patching, and hardening practices meet service level expectations.
• Establishes cloud observability standards and leads implementation of logging, metrics, tracing, dashboards, and alerting solutions to support complex transactional systems.
• Influences technical roadmaps, sequencing, and investment decisions across engineering teams to improve cloud adoption, operability, and platform consistency.
• Builds strong cross-functional relationships and serves as a trusted advisor to engineering leaders and senior stakeholders on cloud architecture, risk, tradeoffs, and long-term technical direction.
• Produces clear and durable technical documentation, standards, architecture artifacts, and guidance that enable scalable adoption across teams.
• Mentors engineers and technical leaders by raising engineering standards, sharing expertise, and guiding design and execution on high-impact initiatives.
• Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Principal Engineer – Cloud Engineering

• Leads the design, implementation, and optimization of cloud-native solutions using AWS services such as EC2, Lambda, S3, RDS, EKS, IAM, VPC, and related services, with strong focus on scalability, resilience, security, and cost efficiency.
• Design and implement cloud infrastructure solutions that incorporate regulatory, risk, and compliance requirements by applying established security controls and engineering best practices.
• Serves as a senior technical leader for complex cloud engineering initiatives, influencing architectural decisions and implementation patterns across multiple teams.
• Troubleshoots the most complex infrastructure and platform issues, including problems that span multiple systems, services, and layers of the technology stack.
• Leads root cause analysis for significant incidents and drives remediation plans that improve reliability, resiliency, and operational maturity.
• Partners with Security and Compliance teams to ensure cloud environments meet regulatory and policy requirements, including PCI-DSS, SOC 2, FFIEC, and related standards.
• Supports internal and external audit activities by helping prepare evidence, respond to technical requests, and improve readiness of cloud controls and documentation.
• Architects and implements disaster recovery, high availability, backup, and fault-tolerance approaches to improve service continuity and recoverability.
• Implements and reinforces cloud security best practices, including identity and access management, network segmentation, encryption, and key management.
• Drives adoption of infrastructure as code and automation using Terraform and related tooling, and advances CI/CD best practices that improve consistency and speed of delivery.
• Oversees and improves cloud vulnerability management and configuration compliance efforts to help ensure patching and hardening activities meet service expectations.
• Designs and enhances observability solutions for cloud infrastructure and distributed systems, including logging, metrics, dashboards, tracing, and alerting.
• Provides technical leadership in defining delivery plans, sequencing work, shaping backlogs, and following through on design and build activities through production delivery.
• Creates and maintains clear technical documentation, standards, and implementation guidance for cloud infrastructure, services, and operational procedures.
• Mentors engineers and shares expertise to raise engineering quality, strengthen technical decision-making, and improve execution across teams.
• Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Senior Staff Engineer – Cloud Engineering

• Implements and optimizes cloud-native solutions using AWS services such as EC2, Lambda, S3, RDS, EKS, and more
• Design and implement cloud infrastructure solutions that incorporate regulatory, risk, and compliance requirements
• Troubleshoots complex infrastructure problems, often spanning multiple layers of the stack
• Works with Security and Compliance teams to ensure cloud environments meet regulatory requirements
• Implements disaster recovery plans ensuring high availability and fault-tolerance
• Contributes to the adoption and implementation of Infrastructure as code (IAC) using Terraform

Senior Cloud Engineer – Contract

• Designs, governs, and optimizes Cutsforth’s enterprise Azure cloud platform, establishing the landing zones, network topology, identity model, and security controls that host the company’s software and data products
• Partners with software engineering, security, and operations to deliver scalable, secure, and cost-effective cloud architecture that supports Cutsforth’s connected monitoring and industrial product offerings

Senior Azure Cloud Architect

• Translate business and product requirements into scalable architecture designs for pharmacy systems and platforms
• Support implementation of architecture strategy across cloud, AI, and application domains
• Design and implement Azure-based solutions supporting pharmacy platforms, including compute, networking, identity, and storage
• Drive adoption of Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or ARM to standardize and automate environment provisioning
• Establish repeatable, automated patterns for standing up development, test, and production environments
• Support integration of AI capabilities into pharmacy systems to enhance workflows and customer experience
• Promote adoption of AI tools and capabilities across engineering, product, and business teams to improve productivity and decision-making
• Provide architecture support for EnterpriseRx and other MPS applications across design, development, and deployment.

Senior AI & Cloud Architect

• developing and managing cloud storage solutions
• building data pipelines
• automating processes using Python and Flask
• provisioning infrastructure with Terraform and CloudBees
• contributing to AI and Agentic AI solution development using MCP Services
• designing and implementing cloud-based information systems on AWS infrastructure
• defining system scope, conducting research and feasibility studies
• creating technical documentation and flow charts
• implementing and maintaining cloud infrastructure as code using Terraform
• configuring CI/CD pipelines with CloudBees
• monitoring resource utilization, performance metrics, and supporting security and compliance initiatives
• developing and maintaining data engineering solutions including data pipelines, ETL/ELT processes, and analytics components using Python or Java
• designing and managing cloud storage architectures
• creating and maintaining comprehensive technical documentation
• investigating and troubleshooting routine system issues
• providing user support by developing training materials and gathering feedback

Lead Cloud Engineer

• Leads complex platform security engineering initiatives spanning multiple systems, services, or engineering domains.
• Defines secure target states, reference architectures, design patterns, and technical standards for platform and shared engineering capabilities.
• Leads securing engineering and design reviews involving platform services, infrastructure patterns, and shared service integrations.
• Drives implementation of scalable controls and secure-by-default capabilities that reduce engineering friction while improving risk posture.
• Embeds security requirements into engineering workflows including CI/CD, infrastructure provisioning, deployment models, runtime operations, and service lifecycle management.
• Partners with Information Security Engineering, Product Security, Platform Engineering, Infrastructure, and developer teams to align design choices and delivery priorities.
• Leads evaluation and adoption of new platform security technologies, patterns, and automation opportunities.
• Translates policy and control expectations into practical engineering solutions and measurable implementation guidance.
• Identifies and drives remediation of systemic platform risks, recurring control failures, and engineering weaknesses.
• Mentors engineers, elevates technical practices, and contributes to a culture of secure engineering excellence.

Staff Platform Security Engineer – Cloud, AWS

• Make new cloud capabilities available in secure environments
• Further your skill set and career
• Shape the next generation of DoD systems

Senior Google Cloud Engineer

• Designing and managing Cloud infrastructure on Azure, ensuring a robust, scalable, and secure platform that enables seamless access to patient records and applications
• Implementing Infrastructure as Code (IaC) using Terraform and Ansible for repeatable, consistent, and automated deployments
• Automating administrative tasks, enhancing operational efficiency, and providing innovative solutions
• Implementing security measures that ensure compliance with healthcare regulations
• Creating clear and thorough documentation for infrastructure configurations, policies, and troubleshooting procedures
• Working closely with IT, security, DevOps, and project managers to align infrastructure strategies with organizational goals
• Supporting process improvement using a creative, strategic, and innovative approach to data governance

• Lead consulting activities and documentation in partnership with NIT, Cloud Foundation Teams, and district stakeholders to meet business requirements
• Collaborate with teams to translate requirements into efficient, cost-effective AWS solutions using industry-standard practices
• Design and implement scalable, fault-tolerant, and secure AWS infrastructure using Infrastructure as Code (IaC) principles
• Automate deployment, testing, and monitoring through CI/CD pipelines
• Monitor and troubleshoot production issues using AWS services (CloudWatch, CloudTrail, IAM, EC2, Lambda, ECS Fargate, Parallel Cluster)
• Implement security and governance controls to ensure compliance with audit requirements and Information Security guidelines

AWS Cloud – High Performance Computing Engineer

• 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

• Lead a senior team of infrastructure engineers, providing technical guidance, career support, and the execution leadership needed to ship high-impact platform work reliably and on time.
• Own the technical roadmap for Infrastructure, including two major programs launching in 2026.
• Ensure Upside's AWS environments are secure, cost-efficient, and production-ready.
• Drive developer experience improvements across CI/CD, observability, and platform tooling.
• Drive operational excellence across reliability, scalability, and performance.
• Partner closely with Product Security, Analytics Engineering, and AI Enablement to ensure infrastructure decisions support reliable experimentation, scalable data systems, and safe AI adoption across R&D.
• Represent Infrastructure in cross-functional planning and technical forums.

Engineering Manager, Cloud Infrastructure

• 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

Cloud Engineer jobs in Illinois

See all jobs on JobTailor