Senior Cloud / TechOps Engineer

Luxoft; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Luxoft in Dublin is seeking a Senior Cloud Engineer with deep AWS expertise to design, automate, and operate highly available cloud infrastructure. You will work across AWS, Azure, and GCP environments, focusing on reliability, security, and cost optimization while reducing toil through engineering-led automation.

The role covers infrastructure as code, CI/CD, monitoring, and incident management in production, with on-call responsibilities and collaboration across DevOps, Security, and Platform

Qualifications

• 10+ years IT/infrastructure experience with 5+ years AWS hands-on.
• Deep AWS production experience including design, deployment, troubleshooting.
• Strong Linux/Unix administration, scripting, and OS configuration.
• Terraform/Infrastructure as Code expertise.
• Scripting in Python or Shell for automation.
• Docker and Kubernetes/EKS experience in production.
• CI/CD, DevOps, and SRE practices exposure.
• Monitoring/logging/observability with Splunk, CloudWatch, OpenTelemetry.
• Experience with DR/BCP, security best practices, and cost optimization.
• Working knowledge of Azure and/or GCP.

Responsibilities

• Own AWS cloud infrastructure design, deployment, and troubleshooting.
• Automate provisioning, patching, and compliance using IaC.
• Develop automation in Python or Shell and build self-service capabilities.
• Build and maintain CI/CD pipelines for infra and apps.
• Support containerized platforms with Docker/Kubernetes.
• Implement robust observability, monitoring, and alerting.
• Enforce security, IAM, encryption, and vulnerability remediation.
• Lead on-call response and RCA for critical incidents.
• Collaborate with multi-team stakeholders and governance bodies.

Skills

AWS Cloud Engineer

EC2/ECS/EKS

Linux/Unix

Terraform

Python/Shell scripting

Docker/Kubernetes

CI/CD/DevOps/SRE

Monitoring/Observability

Security & Compliance

Azure/GCP knowledge

On-call experience

Tools

Terraform

Python

Shell scripting

Docker

Kubernetes/EKS

CloudWatch

Splunk

OpenTelemetry

Jira

Job description

Project description

The Cloud Engineering team is responsible for managing, supporting, and continuously improving our cloud and hybrid infrastructure platforms.We 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.AWS 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 (GCP), as some of our clients operate on these platforms or have hybrid/on-premises environments that integrate with our services.The role focuses on production reliability, cloud infrastructure, automation, observability, security, incident management, disaster recovery, performance, cost optimization, and continuous improvement.This 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.

Responsibilities

• 1. AWS Cloud Infrastructure
• Design, deploy, manage, and troubleshoot highly available AWS infrastructure using Infrastructure as Code.
• Strong hands-on experience with: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:o Transit Gatewayo PrivateLinko VPNo NAT Gatewayo Direct Connecto Security Groupso Network ACLso 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.
• 2. Hybrid & Multi-Cloud
• 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.
• 3. Automation & Infrastructure as Code
• 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.
• 4. CI/CD & DevOps
• Build and maintain CI/CD pipelines supporting infrastructure and application deployments.
• 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.
• 5. Observability & Monitoring
• Implement and maintain comprehensive monitoring, logging, alerting, and observability.
• 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.
• 6. Security & Compliance
• 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.
• 7. Disaster Recovery & Resilience
• 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.
• 8. Performance, Capacity & AWS Cost Optimization
• 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.
• 9. Production Operations & Reliability
• 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.
• 10. Collaboration & Governance
• 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.
• ________________________________________

SKILLS

Must have

• 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 knowledge of Linux/Unix administration, OS configuration, troubleshooting, and shell scripting.
• 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.
• Tools & TechnologiesPrimary Cloud – AWSEC2, ECS, EKS, S3, VPC, IAM, Bedrock, Lambda, EventBridge, AWS Batch, MSK/Kafka, OpenSearch, CloudWatch, Route 53, Load Balancers, Auto Scaling, Secrets Manager, KMSOther Cloud PlatformsMicrosoft Azure and/or Google Cloud Platform (GCP) – working knowledge of compute, networking, storage, IAM, security, monitoring, and hybrid connectivity.Infrastructure & AutomationTerraform, Ansible, Python, Shell ScriptingDevOps & ContainersGitHub, GitHub Actions, Docker, Kubernetes/EKS, CI/CDObservabilitySplunk, CloudWatch, OpenTelemetryMiddlewareIBM MQ, ActiveMQ/JMS, Kafka/MSKITSM & CollaborationServiceNow, Jira, ConfluenceAI & 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.

Nice to have

• 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.