AI/ML Cloud Engineer

Job Description:

Our Opportunity:

We are looking for a skilled engineer with disciplines that incorporate aspects of software systems engineering and operations. We are combining these skills to come up with better ways of managing and operating applications including AI/ML-driven approaches to observability and reliability.

What you ll do:

• Evangelize SRE mindset and solve problems through systematization.
• Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications.
• Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manual toil and improve operational throughput.
• Design and implement AI/ML-driven automation pipelines, observability enhancements, and proactive operational response systems - including anomaly detection and predictive alerting to improve platform reliability.
• Lead expansion of automation coverage across deployment, monitoring, alerting, and self-healing workflows for Cloud and Login Platforms.
• Collaborate with Engineering, Scrum, and Ops resources to provide technical expertise and support on key initiatives for system availability and reliability.
• Triage alerts and diagnose/resolve critical issues; manage implementation of changes with clear communication and minimal risk.
• Develop tools, frameworks, and instrumentation to validate and increase rollout success for applications; leverage AI/ML capabilities to enhance operational visibility and rollout validation at scale.
• Champion AIOps platform adoption and ML-assisted observability practices across the team.
• Coordinate capacity planning using data-driven trend analysis and ML-informed forecasting.
• Develop CI/CD orchestration systems to reduce friction for software delivery to production; drive adoption of GitOps concepts and AI-assisted pipeline optimization.
• Real-time troubleshooting of mission-critical application workflows and incorporate feedback into product development.
• Participate in on-call support.

What do you have:

Required Skills:

• 6-8 years of experience with enterprise-level administration and support.
• 6-8 years of experience writing automation scripts, building application dashboards for proactive monitoring, and setting up alerts for early issue determination.
• 6-8 years practicing SDLC, process improvements.
• Hands-on enterprise systems administration, monitoring, and deployment activities.
• Experience with Windows 2019/2022 and Linux hosted via Virtual Machine.
• Experience in Cloud application configuration, deployment, support, and migration - Google Cloud Platform/PCF is a plus.
• Knowledge of IP networking including DNS, DHCP, firewalls, IP routing, etc.
• Familiarity with large-scale distributed systems and high-availability architecture.
• Linux and Windows system administration, troubleshooting, and tuning.
• Development experience in one or more programming languages: .NET, PowerShell, Java, Python, Bash.
• Knowledge of one or more of SQL, Oracle, MongoDB databases.
• Working knowledge of Actimize.
• Knowledge of one or more Message Brokers: Solace, RabbitMQ, IBM MQ, Kafka.
• Knowledge of Splunk, AppDynamics, or similar observability tools.
• Demonstrated experience applying AI/ML or AIOps approaches (e.g., anomaly detection, predictive alerting, ML-assisted observability) in production environments.
• Bachelor's degree in computer science or related discipline.

Helpful Skills:

• Financial services industry experience.
• Agile methodologies.
• Hands-on experience with AIOps platforms or ML-driven observability tooling.
• Experience integrating AI/ML capabilities into CI/CD or operational automation workflows.
• Familiarity with CI/CD tools (Harness, Jenkins, GitHub Actions) or GitOps concepts.
• Exposure to container orchestration (Kubernetes, OpenShift) or cloud platforms (AWS, Azure, Google Cloud Platform).

Personal Skills:

• Strong customer orientation with an affinity to proactively own, communicate, and follow through on projects and issues.
• Extreme sense of ownership to resolve problems in a distributed environment.
• Gritty resolve to dig deeper into technical issues in a complex login ecosystem.
• A self-starter with the ability and confidence to independently resolve issues and bring results back to the team.