Cloud Sre Associate Senior Associate

Job Description:

What is the incumbent, Digital Assets Operations Team responsible for?

We are seeking a detail-oriented Systems Analyst to join our Digital Assets Operations team supporting the internal applications, Franklin Templeton's blockchain-based tokenization platform.

The ideal candidate will excel in system monitoring, incident investigation, and troubleshooting across distributed systems. This role requires a strong curiosity-driven mindset, excellent communication skills, and the ability to work in a fast-paced, production-critical environment.

In addition to operational support, the candidate will contribute to feature rollouts, system improvements, and observability enhancements. Flexibility to support global time zones is essential, as the team operates toward a 24x7 support model.

What is the incumbent responsible for?

Core Operational Responsibilities

Monitor production systems and respond to alerts in a timely and effective manner

Investigate and troubleshoot issues across multiple services, microservices, and cloud platforms

Own incident triage, coordination, and resolution across Dev, Infra, and dependent teams

Perform root cause analysis (RCA) for production incidents and drive preventive improvements

Collaborate with developers and stakeholders to improve system reliability and observability

Digital Assets / Benji Platform Responsibilities

Develop techno-functional understanding of tokenized fund workflows (onboarding, transactions, reconciliation, redemptions)

Correlate technical issues with business and financial impact (transactions, fund integrity, user experience)

Troubleshoot blockchain-integrated systems including node interactions, RPC issues, and on-chain/off-chain inconsistencies

Monitor and support EOD/batch processing, reconciliation jobs, and financial data flows across systems

SRE & Observability

Contribute to operational documentation, runbooks, and knowledge sharing

Define and monitor SLIs/SLOs, and improve alerting and monitoring quality

Use observability tools to analyze logs, metrics, and traces, and derive actionable insights

Drive continuous improvement through post-incident reviews and reliability engineering practices

Release, Change & Resilience

Support feature deployments, release validation, and post-release monitoring

Participate in change readiness and risk assessments

Contribute to disaster recovery (DR) testing, failover validation, and resilience improvements

Security & Compliance

Support identity and access-related troubleshooting (e.g., Okta)

Assist in vulnerability management, audit readiness, and secure operations practices

AI & Operational Efficiency

Leverage AI-assisted tools (e.g., Copilot, ChatGPT, Claude) to improve efficiency in log analysis, incident triage, and documentation

Identify opportunities to use AI/automation agents to streamline repetitive operational tasks and improve MTTR

Apply critical thinking when using AI tools, ensuring accuracy and reliability in production environments

On-Call & Coverage

Participate in on-call rotation to ensure round-the-clock platform support and availability

What ideal qualifications, skills & experience would help someone to be successful?

Experience in systems analysis, operations support, or Site Reliability Engineering (SRE)

Strong troubleshooting skills across distributed systems with a data-driven approach

Proficiency with monitoring tools and log analysis

Ability to work independently and in cross-functional teams

Excellent communication, documentation, and stakeholder management skills

Preferred Skills and Experience

Experience with Azure cloud services

Familiarity with Linux, Java and Spring Boot applications

Hands-on experience with Splunk, Prometheus, and Grafana

Understanding of Okta (Identity & Access Management)

Experience working in Kubernetes-managed environments and containerized systems

Exposure to public blockchain ecosystems, nodes, and data analysis tools

Familiarity with DevOps practices, CI/CD pipelines, and release automation

Awareness of AI-assisted tools or automation techniques for operational efficiency

Key Traits for Success

Strong ownership mindset goes beyond ticket resolution

Curious and analytical with the ability to deep dive into complex systems

Comfortable handling ambiguity in evolving, distributed environments

• • Proactive in identifying improvements in reliability, automation, and process