DevOps Solution Architect

Job summary

FCT is seeking a highly skilled DevOps Solution Architect to lead the design, automation, deployment, and operational excellence of modern enterprise platforms and software solutions.

Qualifications

• 7+ years of experience in DevOps, cloud engineering, systems architecture, or related technical roles, including 3+ years in a Solution Architect or senior technical leadership role.
• 5+ years of experience actively monitoring 7x24x365 mission critical applications and platforms ensuring 99.9% uptime.
• Deep understanding of software architecture, distributed systems, networking, security, scalability, resiliency, and production operations.
• Strong expertise designing, implementing, and maintaining CI/CD pipelines and DevOps automation using Azure DevOps and related technologies.
• Hands-on experience architecting and supporting enterprise cloud solutions within Microsoft Azure environments.
• Strong experience with Infrastructure-as-Code (IaC), automation frameworks, and container orchestration technologies including Kubernetes and Docker.
• Proven experience implementing enterprise monitoring, observability, logging, alerting, and operational support solutions for production systems and cloud platforms.
• Strong operational mindset with experience proactively monitoring application health, infrastructure performance, availability, certificate health, security compliance, and production reliability using automated and AI-assisted monitoring solutions.
• Experience managing enterprise certificate lifecycles including SSL/TLS certificate provisioning, renewal, automation, PKI, secrets management, and secure communication protocols.
• Strong software development and scripting experience with the ability to design, develop, and support automation tools, integrations, APIs, and operational platforms.
• Demonstrated ability to rapidly prototype, validate, and iterate on technical solutions while balancing speed, innovation, engineering discipline, and operational quality.
• Experience leveraging AI tools and AI-assisted practices for software delivery, infrastructure management, monitoring, troubleshooting, automation, and engineering productivity with an AI-first approach to problem solving.
• Excellent analytical, troubleshooting, communication, and collaboration skills with the ability to operate effectively in ambiguous environments and drive clarity through experimentation and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable, secure, and highly available cloud-native and hybrid infrastructure and DevOps architectures.
• Actively monitor the platform across environments and respond to any alerts using automation or manual procedures.
• Develop SOPs to handle common alerting scenarios in Production for other support teams to use after hours.
• Implement and evolve enterprise DevOps standards, CI/CD pipelines, Infrastructure-as-Code (IaC), automation frameworks, and operational best practices.
• Design and implement enterprise monitoring, logging, alerting, observability, and AI-enhanced operational intelligence solutions across infrastructure and applications.
• Establish operational health metrics, SLIs/SLOs, dashboards, and proactive monitoring strategies to ensure production reliability, performance, scalability, and rapid incident response.
• Collaborate with software development teams to align application architecture, deployment processes, infrastructure, security, and operational requirements throughout the software delivery lifecycle.
• Promote an AI-first engineering culture by leveraging AI-assisted automation, monitoring, diagnostics, security analysis, troubleshooting, and operational optimization capabilities.
• Ensure production readiness through resiliency testing, disaster recovery planning, security compliance, vulnerability management, secrets management, and operational automation.
• Drive continuous improvement initiatives through rapid prototyping, evaluation of emerging technologies, root cause analysis, and implementation of AI-powered solutions that improve platform reliability, deployment efficiency, and developer productivity.

Skills

Relocation