Senior Cloud Engineer- (SRE & AWS)

Location: Dallas, United States

Department: Development

Experience: 10+ Years

• Design, deploy, manage, and troubleshoot highly available AWS infrastructure using Infrastructure as Code
• EC2, ECS, EKS, S3, VPC, IAM, Lambda, EventBridge, AWS Batch, MSK/Kafka, OpenSearch, Route 53, Load Balancers, Auto Scaling, Secrets Manager, KMS and CloudWatch.
• Design and manage AWS networking including:
• Transit Gateway
• PrivateLink
• VPN
• NAT Gateway
• Direct Connect
• Security Groups
• Network ACLs
• DNS and routing
• Perform infrastructure lifecycle management, patching, software upgrades, and technology refresh activities.
• Support cloud migration, modernization, and application onboarding initiatives.
• Recommend architectural improvements to enhance reliability, scalability, security, performance, and operational efficiency.

• Support AWS as the primary cloud platform, while collaborating with teams supporting Azure, GCP, and client-specific cloud environments.
• Working knowledge of core Azure and/or GCP services including compute, networking, storage, identity, security, and monitoring.
• Troubleshoot connectivity and integration issues across AWS, other public clouds, and on-premises infrastructure.
• Understand hybrid connectivity patterns including VPN, dedicated connectivity, DNS, routing, identity federation, and secure data integration.
• Participate in client technical discussions involving non-AWS cloud environments where required.
• Apply consistent operational, security, reliability, and governance standards across hybrid environments.
• AWS depth is mandatory.
• Azure/GCP experience is an advantage and should not substitute for strong AWS production experience.

• Develop and maintain reusable Terraform modules and infrastructure automation frameworks.
• Automate infrastructure provisioning, configuration, patching, compliance checks, and operational activities.
• Develop automation using Python and/or Shell scripting.
• Build self-service capabilities to reduce manual operational activities.
• Implement automated remediation and self-healing capabilities where appropriate.
• Continuously identify opportunities to eliminate operational toil through automation.

• Build and maintain CI/CD pipelines supporting infrastructure and application deployme
• Integrate infrastructure provisioning and operational processes into DevOps workflows.
• Support containerized platforms using Docker and Kubernetes/EKS.
• Implement automated deployment, validation, and rollback mechanisms.
• Work closely with development teams to improve deployment reliability and release engineering.
• Support adoption of DevOps and SRE practices.

• Strong experience with Splunk and AWS CloudWatch.
• Support OpenTelemetry and distributed tracing.
• Develop operational dashboards, alerts, and health indicators.
• Proactively identify availability, performance, capacity, and reliability risks.
• Continuously improve monitoring and alerting to improve incident detection and reduce noise.

• Implement AWS security best practices including IAM, least privilege, encryption, secrets management, and network security.
• Support cloud security hardening and vulnerability remediation.
• Participate in security audits, vulnerability assessments, and closure of audit findings.
• Ensure cloud infrastructure complies with organizational, client, regulatory, and security requirements.
• Implement and maintain appropriate security guardrails and controls.
• Work closely with Security teams to identify and remediate cloud security risks.

• Design, implement, and maintain AWS disaster recovery solutions.
• Participate in DR and failover testing and validation.
• Ensure infrastructure meets defined RTO and RPO requirements.
• Identify and remediate BCP/DR gaps.
• Support multi-AZ and multi-region resilience initiatives.
• Develop and maintain DR procedures, runbooks, and recovery documentation.

• Monitor infrastructure capacity and performance and proactively identify bottlenecks.
• Conduct performance and capacity analysis and recommend improvements.
• Support scalability and resilience engineering initiatives.
• Identify and implement AWS cost optimization opportunities.
• Apply right-sizing, autoscaling, resource optimization, scheduling, and architectural improvements to reduce cloud spend.
• Identify idle and underutilized resources.
• Work with Architecture and Engineering teams to improve the cost/performance profile of the platform.

• Own the operational health, availability, performance, and reliability of AWS cloud environments.
• Lead resolution of high-severity production incidents, including participation in client bridge calls where required.
• Troubleshoot complex infrastructure, networking, application, and cloud-platform issues.
• Lead technical Root Cause Analysis (RCA) for major incidents and drive corrective and preventive actions through to completion.
• Identify recurring incidents and implement permanent engineering solutions to prevent repeat failures.
• Establish and maintain cloud operational standards, guardrails, runbooks, and best practices.
• Ensure cloud service requests and operational activities are completed within defined SLAs.
• Support Change Management processes and ensure changes are implemented safely.
• Participate in on-call rotations and critical production/weekend support activities.

• Work closely with Development, DBA, Security, Network, Architecture, DevOps, Product, and Service Management teams.
• Support application onboarding and cloud adoption initiatives.
• Participate in technical design and architecture reviews.
• Create and maintain architecture diagrams, operational documentation, standards, and runbooks.
• Support client-facing technical discussions and production escalations.
• Participate in project planning, technology evaluations, and continuous improvement initiatives.

• Primary Cloud – AWS: EC2, ECS, EKS, S3, VPC, IAM, Bedrock, Lambda, EventBridge, AWS Batch, MSK/Kafka, OpenSearch, CloudWatch, Route 53, Load Balancers, Auto Scaling, Secrets Manager, KMS
• Other Cloud Platforms
• Microsoft Azure and/or Google Cloud Platform (GCP) – working knowledge of compute, networking, storage, IAM, security, monitoring, and hybrid connectivity.
• Infrastructure & Automation
• Terraform, Ansible, Python, Shell Scripting
• DevOps & Containers
• GitHub, GitHub Actions, Docker, Kubernetes/EKS, CI/CD
• Observability
• Splunk, CloudWatch, OpenTelemetry
• Middleware
• IBM MQ, ActiveMQ/JMS, Kafka/MSK
• ITSM & Collaboration
• , Jira, Confluence
• AI & Engineering Productivity
• Experience with GenAI tools such as GitHub Copilot, Claude, or equivalent.
• Ability to use AI to accelerate infrastructure automation, troubleshooting, documentation, CI/CD, monitoring, and operational processes.

• 10+ years of IT/infrastructure engineering experience, with at least 5+ years of strong hands-on AWS experience.
• Deep hands-on experience designing, implementing, troubleshooting, and supporting production AWS environments.
• Strong understanding of AWS networking, security, cloud architecture, and high-availability principles.
• Strong experience with Terraform / Infrastructure as Code.
• Strong scripting and automation skills using Python and/or Shell.
• Experience with Docker and Kubernetes/EKS.
• Experience with CI/CD, DevOps, and SRE practices.
• Experience with monitoring, logging, and observability platforms such as Splunk, CloudWatch, and OpenTelemetry.
• Strong experience managing high-severity production incidents and performing deep technical RCA.
• Experience with DR, BCP, RTO/RPO, and resilience solutions.
• Experience with messaging middleware, particularly IBM MQ, ActiveMQ, or JMS.
• Experience with cloud security, vulnerability remediation, audit, and compliance.
• Experience with AWS cost optimization / FinOps.
• Working knowledge of Azure and/or GCP.
• Experience working in regulated, enterprise, and client-facing environments.
• Strong communication and stakeholder-management skills.
• Ability to work across Application, Infrastructure, Architecture, Security, Network, DBA, and Product teams.
• Willingness to participate in on-call rotations and critical production support activities.

• AWS Solutions Architect / DevOps Engineer certification.
• Strong SRE experience.
• Automated remediation / self-healing infrastructure.
• Multi-region AWS architecture.
• Hybrid cloud and on-premises integration experience.
• Experience migrating legacy applications/infrastructure to AWS.
• Strong experience with ECS, EKS, MSK/Kafka, OpenSearch, and event-driven architectures.
• PostgreSQL administration, upgrades, and migrations.
• Demonstrated delivery of significant AWS cost reductions.
• OpenTelemetry and distributed tracing experience.
• Experience using GenAI for engineering and operational productivity.
• Experience operating large-scale, business-critical, client-facing platforms.