Job Summary
Serve as a principal infra developer designing and optimizing enterprise observability platforms using Splunk Observability Cloud ThousandEyes and App Dynamics for a global asset and wealth management organization. Collaborate with cross functional teams in a hybrid work model to improve system reliability client experience and operational efficiency while aligning with regulatory expectations.
Responsibilities
- Design and implement scalable observability solutions using Splunk Observability Cloud to provide deep visibility into critical asset and wealth management platforms and supporting infrastructure.
- Develop and optimize ThousandEyes monitoring setups to proactively detect network path issues and digital experience degradation that may affect client trading and portfolio management journeys.
- Configure and fine tune App Dynamics instrumentation to trace application performance across complex microservices and integration layers within front office and middle office wealth management systems.
- Analyze telemetry patterns and incident trends to identify systemic issues and drive long term improvements in reliability availability and latency across business critical platforms.
- Collaborate with application development network security and operations teams to define meaningful service level objectives and error budgets that reflect asset and wealth management client expectations.
- Create automated dashboards alerts and runbooks that empower support teams to quickly diagnose failures and reduce mean time to detect and mean time to resolve for production incidents.
- Integrate observability data with incident and change management processes to improve root cause analysis quality and reduce recurring disruptions in daily trading and advisory operations.
- Provide technical guidance on best practices for log management metric collection and distributed tracing to ensure consistent observability across hybrid cloud and on premises environments.
- Partner with business stakeholders to translate investment and advisory use cases into actionable monitoring requirements that directly protect client portfolios and regulatory commitments.
- Drive continuous improvement of observability tooling by evaluating new features conducting proof of concept activities and recommending enhancements that increase insight and reduce operational risk.
- Document observability architectures standards and playbooks in clear reusable formats that enable other practitioners to adopt consistent practices across regions and product lines.
- Enable shift left observability by working with engineering teams to embed monitoring and resilience patterns early in the software development lifecycle for new wealth management capabilities.
- Coordinate with compliance and risk teams to ensure monitoring designs support auditability data retention expectations and operational resilience requirements specific to regulated financial services.
Qualifications
- Combine extensive hands on experience in Splunk Observability Cloud with strong analytical skills to interpret complex metrics logs and traces in large scale financial systems.
- Apply deep ThousandEyes expertise to design internet and network monitoring topologies that reflect the connectivity patterns of global asset and wealth management clients and advisors.
- Use advanced App Dynamics knowledge to implement end to end transaction monitoring and business performance dashboards that highlight the impact of technical issues on client outcomes.
- Bring nine to twelve years of progressive infrastructure or site reliability engineering experience with a clear focus on observability automation and performance optimization.
- Demonstrate practical exposure to asset and wealth management products portfolio reporting trade order flows and client portals to align monitoring strategy with real business processes.
- Employ strong scripting and automation abilities in areas such as configuration as code and api based integrations to keep observability environments consistent and maintainable.
- Communicate effectively with technical and non technical audiences to explain observability findings risk implications and recommended remediation actions.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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