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StradIT

Delivering AI-powered engineering solutions for finance

Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 10 years of related technical experience across application support engineering, software engineering, site reliability engineering, production support, or application operations.
  • Experience supporting business-critical applications in production environments.
  • Proven experience in one or more in-scope roles, such as Application Support Engineer, SDET, Software Engineer, or SRE, improving reliability practices, application validation, observability coverage, automation frameworks, and reliability standards.
  • Strong understanding of monitoring and observability platforms, including dashboard design, alert tuning, telemetry coverage, log analysis, metrics, traces, and event correlation.
  • Programming or scripting proficiency in one or more languages such as Python, Java, Go, or PowerShell for automation, tooling, and operational efficiency.
  • Familiarity with distributed applications, middleware, messaging, batch processing, real-time processing, and production application behavior in high-availability environments.
  • Experience in financial services, capital markets, regulated environments, or other high-availability operational settings.
  • Demonstrated participation in disaster recovery, performance testing, resiliency testing, release readiness, incident response, and root cause analysis.
  • Knowledge of AI concepts, data platforms, anomaly detection, incident correlation, and intelligent automation use cases.
  • Ability to translate production support insights into actionable engineering improvements that reduce risk, improve stability, and enhance customer experience.

Responsibilities

  • Participate in design reviews, sprint zero, and delivery planning to define and validate reliability requirements, including resiliency, observability, fault tolerance, performance, scalability, holiday and special-day processing, and disaster recovery.
  • Collaborate with Major Release Management to ensure each release meets SRE standards for observability, resiliency, and reliability requirements, support readiness, and knowledge base coverage.
  • Define and improve monitoring, observability, dashboards, telemetry coverage, and alert strategy to strengthen outage detection, reduce noise, improve signal quality, and accelerate incident response.
  • Assist in major incident response and root cause analysis by identifying observability gaps, improving telemetry and knowledge articles, and driving actions that reduce repeat incidents.
  • Drive automation, intelligent tooling, and AI-assisted remediation to reduce manual toil, improve consistency, accelerate recovery, and scale operational support.
  • Serve as the operational readiness authority before production releases by validating reliability requirements, assessing support readiness, surfacing production risks, and confirming release supportability.
  • Lead capacity, performance, workload trend, and resiliency analysis to ensure applications scale reliably under normal, peak, and stress conditions.
  • Establish and track reliability metrics such as availability, incident volume, MTTx, alert quality, automation coverage, reliability requirement compliance, change failure rate, and repeat incident reduction.
  • Participate in application reliability governance and service reviews by presenting incident trends, compliance metrics, operational risks, improvement actions, and readiness gaps.
  • Prepare executive reporting on reliability posture, release readiness, observability maturity, alert quality, incident trends, automation progress, risks, and improvement outcomes.
  • Promote SRE practices through mentoring, standards adoption, best-practice sharing, and approved AI tools that improve knowledge, observability, performance, security, and maintainability.

Desired Qualifications

  • SRE, observability, automation, or ITIL certifications are a plus.
  • A bachelor's degree is preferred, or equivalent practical experience.
  • Strong collaboration skills across application support, application development, release management, risk, security, business, and vendor stakeholders.

About the Company

StradIT

Delivering AI-powered engineering solutions for finance

StradIT provides applied artificial intelligence and engineering services for the global finance industry, including capital markets and asset management. It operates Centers of Excellence (Applied AI, Data Analytics, Cybersecurity, Cloud & Infrastructure, Automated AI Testing, Digital Assets & Blockchain) to deliver concrete capabilities such as AI-driven threat intelligence, blockchain-native settlement infrastructure, data integration, and predictive analytics. Its Global Capability Center (GCC) lets clients build dedicated technology teams or innovation hubs while StradIT handles setup, operations, and compliance, supported by the Sun Model for continuous AI delivery. The company focuses on creating regulated, auditable systems and production-grade AI to help financial institutions gain a sustainable competitive advantage by improving decision-making, security, and efficiency.

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