SRE Architect- (Multiple locations)

Role- SRE Architect

Location: Atlanta, GA | Arlington, VA | Miami, FL |Chicago, IL |Boston, MA |Birmingham, MI |Houston/Dallas, TX |Atlanta, GA |NYC, NY |Minneapolis, MN (Hybrid role)

Duration: Long Term

Job description:

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

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