Reliability and Observability Lead

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

At Vanguard we are committed to delivering an exceptional client experience for all investors. The systems powering this experience operate within a complex and rapidly evolving resiliency landscape. As an Application Engineer within the ChAI (Chat & AI) team you will contribute directly to building enhancing and supporting the conversational AI platform within the Chief Data & Analytics Office (Office). This platform powers voice AI agents chatbots and Natural Language Processing capabilities that optimize client interactions across our Personal Investor and Workplace Solutions businesses.

In this role you will design build and support application-level capabilities that improve reliability performance and observability for AI and Generative AI workloads. You will also play a key role in migrating the platform from onpremises hosting to the SaaS offering ensuring a secure seamless scalable and wellobserved transition. The role blends hands-on engineering automated testing resiliency design and close collaboration with platform partners and SaaS vendors.

Responsibilities:

Develop enhance and maintain application components that improve system reliability observability and performance.
Implement application-level instrumentation and telemetry to close observability gaps and strengthen monitoring coverage.
Collaborate with platform AI/ML and infrastructure teams to evaluate system health performance and failure patterns.
Build automation and tooling that improves deployment repeatability enhances resiliency and reduces operational toil.
Develop and maintain automated testing suites and regression test beds to validate functionality resiliency and performance.
Participate in incident management troubleshooting and root-cause analyses and contribute to recovery and prevention strategies.
Contribute to architectural discussions and design reviews influencing decisions related to scalability fault tolerance and non-functional requirements.

SaaS Migration Responsibilities:

Support and contribute to the migration of the conversational AI platform from onprem to the SaaS offering.
Partner with vendor and Vanguard engineering teams to analyze platform gaps data flows integrations security requirements and service dependencies related to the migration.
Assist in the design and execution of migration test plans including functional resiliency and performance validation in the SaaS environment.
Develop and enhance automation telemetry and regression tests specific to the SaaS platform.
Support cutover planning environment readiness UAT coordination and post-migration stability monitoring.
Contribute to documentation runbooks and operational readiness deliverables for the SaaS environment.

Qualifications:

Minimum of eight years related experience with at least two years of development experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Strong proficiency in Java or ; experience with APIs multithreaded applications and GraphQL.
Experience building automated testing frameworks (unit integration resiliency performance) and maintaining regression test beds.
Experience with observability frameworks/tools such as OpenTelemetry CloudWatch Grafana and Splunk.
Familiarity working with SaaS platforms including designing integrations and implementing observability for SaaS-based products.
Experience with containerized and microservices architectures (e.g. Docker) and distributed systems.
Working knowledge of AWS networking application services IAM concepts and cloud-native patterns.
Comfort with *nix environments scripting and command-line tooling.
Strong ability to diagnose system issues in high-throughput mission-critical applications.
Excellent communication and documentation skills.
Experience with the platform or similar conversational AI platforms; migration or SaaS enablement experience preferred.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard we dont just have a missionwere on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling in-person learning collaboration and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Responsibilities:

Develop enhance and maintain application components that improve system reliability observability and performance.
Implement application-level instrumentation and telemetry to close observability gaps and strengthen monitoring coverage.
Collaborate with platform AI/ML and infrastructure teams to evaluate system health performance and failure patterns.
Build automation and tooling that improves deployment repeatability enhances resiliency and reduces operational toil.
Develop and maintain automated testing suites and regression test beds to validate functionality resiliency and performance.
Participate in incident management troubleshooting and root-cause analyses and contribute to recovery and prevention strategies.
Contribute to architectural discussions and design reviews influencing decisions related to scalability fault tolerance and non-functional requirements.

SaaS Migration Responsibilities:

Support and contribute to the migration of the conversational AI platform from onprem to the SaaS offering.
Partner with vendor and Vanguard engineering teams to analyze platform gaps data flows integrations security requirements and service dependencies related to the migration.
Assist in the design and execution of migration test plans including functional resiliency and performance validation in the SaaS environment.
Develop and enhance automation telemetry and regression tests specific to the SaaS platform.
Support cutover planning environment readiness UAT coordination and post-migration stability monitoring.
Contribute to documentation runbooks and operational readiness deliverables for the SaaS environment.

Qualifications:

Minimum of eight years related experience with at least two years of development experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Strong proficiency in Java or ; experience with APIs multithreaded applications and GraphQL.
Experience building automated testing frameworks (unit integration resiliency performance) and maintaining regression test beds.
Experience with observability frameworks/tools such as OpenTelemetry CloudWatch Grafana and Splunk.
Familiarity working with SaaS platforms including designing integrations and implementing observability for SaaS-based products.
Experience with containerized and microservices architectures (e.g. Docker) and distributed systems.
Working knowledge of AWS networking application services IAM concepts and cloud-native patterns.
Comfort with *nix environments scripting and command-line tooling.
Strong ability to diagnose system issues in high-throughput mission-critical applications.
Excellent communication and documentation skills.
Experience with the platform or similar conversational AI platforms; migration or SaaS enablement experience preferred.