{"id":3973648,"url":"https://alion.io/job/luxoft-senior-cloud-techops-engineer","title":"Senior Cloud / TechOps Engineer","company":{"id":171185,"name":"Luxoft","domain":"luxoft.com","url":"https://alion.io/company/luxoft","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"A","score":91,"open_postings":10,"ghost_share":0,"stale_share":0.5,"repost_share":0.1,"time_to_fill_p50_days":20,"computed_at":"2026-11-09T06:03:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ActiveMQ","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CAPA","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"Copilot","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"IBM MQ","optional":false},{"name":"Incident Management","optional":false},{"name":"ITSM","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"ServiceNow","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false},{"name":"VPN","optional":false},{"name":"COBOL","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-11-04T21:06:30Z","employer_posted_date":null,"last_verified_at":"2026-11-04T21:06:30Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Project description\n\n The Cloud Engineering team is responsible for managing, supporting, and continuously improving our cloud and hybrid infrastructure platforms.\nWe are looking for a strong hands-on Senior Cloud Engineer with deep AWS expertise to design, implement, secure, automate, and operate highly available cloud infrastructure across internal and client-facing environments.\nAWS will be the primary cloud platform for this role. The engineer should also have a good working knowledge of other major cloud platforms such as Microsoft Azure and/or Google Cloud Platform (Google Cloud Platform), as some of our clients operate on these platforms or have hybrid/on-premises environments that integrate with our services.\nThe role focuses on production reliability, cloud infrastructure, automation, observability, security, incident management, disaster recovery, performance, cost optimization, and continuous improvement.\nThis is not a traditional infrastructure support role. The successful candidate is expected to use engineering and automation to reduce operational toil, eliminate recurring incidents, improve platform reliability, and continuously enhance operational efficiency. \n\nResponsibilities\n\nAWS Cloud Infrastructure \n\nDesign, deploy, manage, and troubleshoot highly available AWS infrastructure using Infrastructure as Code. \n\nStrong hands-on experience with: \n\nEC2, ECS, EKS, S3, VPC, IAM, Lambda, EventBridge, AWS Batch, MSK/Kafka, OpenSearch, Route 53, Load Balancers, Auto Scaling, Secrets Manager, KMS and CloudWatch. \n\nDesign and manage AWS networking including: \n\nTransit Gateway \n\nPrivateLink \n\nVPN \n\nNAT Gateway \n\nDirect Connect \n\nSecurity Groups \n\nNetwork ACLs \n\nDNS and routing \n\nPerform infrastructure lifecycle management, patching, software upgrades, and technology refresh activities. \n\nSupport cloud migration, modernization, and application onboarding initiatives. \n\nRecommend architectural improvements to enhance reliability, scalability, security, performance, and operational efficiency. \n\nHybrid & Multi-Cloud \n\nSupport AWS as the primary cloud platform, while collaborating with teams supporting Azure, Google Cloud Platform, and client-specific cloud environments. \n\nWorking knowledge of core Azure and/or Google Cloud Platform services including compute, networking, storage, identity, security, and monitoring. \n\nTroubleshoot connectivity and integration issues across AWS, other public clouds, and on-premises infrastructure. \n\nUnderstand hybrid connectivity patterns including VPN, dedicated connectivity, DNS, routing, identity federation, and secure data integration. \n\nParticipate in client technical discussions involving non-AWS cloud environments where required. \n\nApply consistent operational, security, reliability, and governance standards across hybrid environments. \n\nAWS depth is mandatory. Azure/Google Cloud Platform experience is an advantage and should not substitute for strong AWS production experience. \n\nAutomation & Infrastructure as Code \n\nDevelop and maintain reusable Terraform modules and infrastructure automation frameworks. \n\nAutomate infrastructure provisioning, configuration, patching, compliance checks, and operational activities. \n\nDevelop automation using Python and/or Shell scripting. \n\nBuild self-service capabilities to reduce manual operational activities. \n\nImplement automated remediation and self-healing capabilities where appropriate. \n\nContinuously identify opportunities to eliminate operational toil through automation. \n\nCI/CD & DevOps \n\nBuild and maintain CI/CD pipelines supporting infrastructure and application deployments. \n\nIntegrate infrastructure provisioning and operational processes into DevOps workflows. \n\nSupport containerized platforms using Docker and Kubernetes/EKS. \n\nImplement automated deployment, validation, and rollback mechanisms. \n\nWork closely with development teams to improve deployment reliability and release engineering. \n\nSupport adoption of DevOps and SRE practices. \n\nObservability & Monitoring \n\nImplement and maintain comprehensive monitoring, logging, alerting, and observability. \n\nStrong experience with Splunk and AWS CloudWatch. \n\nSupport OpenTelemetry and distributed tracing. \n\nDevelop operational dashboards, alerts, and health indicators. \n\nProactively identify availability, performance, capacity, and reliability risks. \n\nContinuously improve monitoring and alerting to improve incident detection and reduce noise. \n\nSecurity & Compliance \n\nImplement AWS security best practices including IAM, least privilege, encryption, secrets management, and network security. \n\nSupport cloud security hardening and vulnerability remediation. \n\nParticipate in security audits, vulnerability assessments, and closure of audit findings. \n\nEnsure cloud infrastructure complies with organizational, client, regulatory, and security requirements. \n\nImplement and maintain appropriate security guardrails and controls. \n\nWork closely with Security teams to identify and remediate cloud security risks. \n\nDisaster Recovery & Resilience \n\nDesign, implement, and maintain AWS disaster recovery solutions. \n\nParticipate in DR and failover testing and validation. \n\nEnsure infrastructure meets defined RTO and RPO requirements. \n\nIdentify and remediate BCP/DR gaps. \n\nSupport multi-AZ and multi-region resilience initiatives. \n\nDevelop and maintain DR procedures, runbooks, and recovery documentation. \n\nPerformance, Capacity & AWS Cost Optimization \n\nMonitor infrastructure capacity and performance and proactively identify bottlenecks. \n\nConduct performance and capacity analysis and recommend improvements. \n\nSupport scalability and resilience engineering initiatives. \n\nIdentify and implement AWS cost optimization opportunities. \n\nApply right-sizing, autoscaling, resource optimization, scheduling, and architectural improvements to reduce cloud spend. \n\nIdentify idle and underutilized resources. \n\nWork with Architecture and Engineering teams to improve the cost/performance profile of the platform. \n\nProduction Operations & Reliability \n\nOwn the operational health, availability, performance, and reliability of AWS cloud environments. \n\nLead resolution of high-severity production incidents, including participation in client bridge calls where required. \n\nTroubleshoot complex infrastructure, networking, application, and cloud-platform issues. \n\nLead technical Root Cause Analysis (RCA) for major incidents and drive corrective and preventive actions through to completion. \n\nIdentify recurring incidents and implement permanent engineering solutions to prevent repeat failures. \n\nEstablish and maintain cloud operational standards, guardrails, runbooks, and best practices. \n\nEnsure cloud service requests and operational activities are completed within defined SLAs. \n\nSupport Change Management processes and ensure changes are implemented safely. \n\nParticipate in on-call rotations and critical production/weekend support activities. \n\n10. Collaboration & Governance \n\nWork closely with Development, DBA, Security, Network, Architecture, DevOps, Product, and Service Management teams. \n\nSupport application onboarding and cloud adoption initiatives. \n\nParticipate in technical design and architecture reviews. \n\nCreate and maintain architecture diagrams, operational documentation, standards, and runbooks. \n\nSupport client-facing technical discussions and production escalations. \n\nParticipate in project planning, technology evaluations, and continuous improvement initiatives. \n\nSkills\n\n Must have \n\n10+ years of IT/infrastructure engineering experience, with at least 5+ years of strong hands-on AWS experience. \n\nDeep hands-on experience designing, implementing, troubleshooting, and supporting production AWS environments. \n\nStrong knowledge of Linux/Unix administration, OS configuration, troubleshooting, and shell scripting. \n\nStrong understanding of AWS networking, security, cloud architecture, and high-availability principles. \n\nStrong experience with Terraform / Infrastructure as Code. \n\nStrong scripting and automation skills using Python and/or Shell. \n\nExperience with Docker and Kubernetes/EKS. \n\nExperience with CI/CD, DevOps, and SRE practices. \n\nExperience with monitoring, logging, and observability platforms such as Splunk, CloudWatch, and OpenTelemetry. \n\nStrong experience managing high-severity production incidents and performing deep technical RCA. \n\nExperience with DR, BCP, RTO/RPO, and resilience solutions. \n\nExperience with messaging middleware, particularly IBM MQ, ActiveMQ, or JMS. \n\nExperience with cloud security, vulnerability remediation, audit, and compliance. \n\nExperience with AWS cost optimization / FinOps. \n\nWorking knowledge of Azure and/or Google Cloud Platform. \n\nExperience working in regulated, enterprise, and client-facing environments. \n\nStrong communication and stakeholder-management skills. \n\nAbility to work across Application, Infrastructure, Architecture, Security, Network, DBA, and Product teams. \n\nWillingness to participate in on-call rotations and critical production support activities. \n\nTools & Technologies \n\nPrimary Cloud - AWS \n\nEC2, ECS, EKS, S3, VPC, IAM, Bedrock, Lambda, EventBridge, AWS Batch, MSK/Kafka, OpenSearch, CloudWatch, Route 53, Load Balancers, Auto Scaling, Secrets Manager, KMS \n\nOther Cloud Platforms \n\nMicrosoft Azure and/or Google Cloud Platform (Google Cloud Platform) - working knowledge of compute, networking, storage, IAM, security, monitoring, and hybrid connectivity. \n\nInfrastructure & Automation \n\nTerraform, Ansible, Python, Shell Scripting \n\nDevOps & Containers \n\nGitHub, GitHub Actions, Docker, Kubernetes/EKS, CI/CD \n\nObservability \n\nSplunk, CloudWatch, OpenTelemetry \n\nMiddleware \n\nIBM MQ, ActiveMQ/JMS, Kafka/MSK \n\nITSM & Collaboration \n\nServiceNow, Jira, Confluence \n\nAI & Engineering Productivity \n\nExperience with GenAI tools such as GitHub Copilot, Claude, or equivalent. \n\nAbility to use AI to accelerate infrastructure automation, troubleshooting, documentation, CI/CD, monitoring, and operational processes. \n\n3 days in client office per week required \n\nNice to have \n\nAWS Solutions Architect / DevOps Engineer certification. \n\nStrong SRE experience. \n\nAutomated remediation / self-healing infrastructure. \n\nMulti-region AWS architecture. \n\nHybrid cloud and on-premises integration experience. \n\nExperience migrating legacy applications/infrastructure to AWS. \n\nStrong experience with ECS, EKS, MSK/Kafka, OpenSearch, and event-driven architectures. \n\nPostgreSQL administration, upgrades, and migrations. \n\nDemonstrated delivery of significant AWS cost reductions. \n\nOpenTelemetry and distributed tracing experience. \n\nExperience using GenAI for engineering and operational productivity. \n\nExperience operating large-scale, business-critical, client-facing platforms. 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