Lead Systems Engineer - Infra Reliability Engineer

Job Description: Job Title – Lead Systems Engineer The Infrastructure Reliability Engineer position will use automation, Infrastructure as Code, observability, operational data, and engineering practices to improve the availability and resiliency of infrastructure services. The Purpose of This Role Fidelity’s Enterprise Infrastructure & Operations Distributed Compute and Storage organization is looking for an Infrastructure Reliability Engineer to help engineer, automate, and improve the reliability of our enterprise infrastructure platforms. We are a dynamic team of engineers focused on making infrastructure highly available, resilient, observable, automated, and easy to consume. We partner closely with infrastructure engineering, operations, application, cloud, and technology teams to improve platform reliability while reducing operational complexity through automation. The Value You Deliver This role will help us move from traditional infrastructure operations toward engineering-led operations, where repetitive activities are automated, infrastructure health is measurable, failures are anticipated, recovery is engineered and tested, and operational insights drive continuous improvement. Key Responsibilities · Engineer and operate resilient enterprise infrastructure services across on-premises and cloud environments. · Develop automation that improves infrastructure reliability, scalability, supportability, and operational efficiency. · Automate common operational activities and eliminate repetitive manual processes. · Build observability capabilities that provide meaningful insight into infrastructure health and service reliability. · Partner with Compute, Storage, Cloud, Network, Security, and Application Engineering teams to resolve complex infrastructure problems. · Participate in major incident response and provide engineering expertise during infrastructure service disruptions. · Conduct post-incident analysis and convert lessons learned into automation, monitoring, resiliency, or platform improvements. · Improve infrastructure patching, maintenance, provisioning, lifecycle management, and recovery through automation. · Participate in capacity planning and proactively identify scalability or performance constraints. · Engineer and test backup, recovery, and disaster recovery capabilities. · Develop reusable automation and self-service capabilities for infrastructure consumers. · Contribute to technical standards, engineering best practices, documentation, and operational procedures. · Challenge existing operational processes and identify opportunities to simplify, standardize, automate, and engineer away operational toil. How Your Work Impacts the Organization Improve stability, increase availability, and enhance customer and stakeholder satisfaction The Skill that are Key to this role Technical/Behavioral Reliability Engineering Apply reliability engineering principles to improve the availability, resiliency, performance, recoverability, and operational readiness of infrastructure platforms. Identify reliability risks and engineer solutions that eliminate or reduce recurring infrastructure failures. Establish meaningful health indicators, operational metrics, dashboards, alerts, and reliability measures for infrastructure services. Use operational data and production insights to identify patterns and proactively address potential reliability issues. Participate in reliability reviews, failure analysis, and continuous improvement initiatives. Promote blameless root cause analysis and translate incident learnings into engineering improvements. Infrastructure Automation Engineer automation that reduces repetitive manual activities and operational toil. Develop reusable automation utilizing technologies such as Python, PowerShell, Shell, Golang, Ansible, Terraform, APIs, and CI/CD pipelines. Automate infrastructure provisioning, configuration, validation, maintenance, recovery, and operational workflows. Integrate infrastructure platforms through REST APIs and automation frameworks. Apply software engineering disciplines including source control, code reviews, automated testing, reusable components, and CI/CD to infrastructure automation. Identify opportunities to transition infrastructure activities from ticket-driven operations to automated and self-service capabilities. Observability & Operational Intelligence Build and maintain dashboards, monitoring, logging, and alerting capabilities for infrastructure platforms. Develop actionable infrastructure health signals rather than relying solely on threshold-based monitoring. Correlate telemetry across infrastructure components to accelerate issue identification and resolution. Analyze operational and infrastructure data to identify: recurring failures, performance bottlenecks, capacity risks, availability trends, automation opportunities, reliability improvement opportunities. Develop data-driven insights and visualizations using platforms such as Splunk, Datadog, Grafana, Power BI, or Tableau. Resiliency, Backup & Recovery Engineer infrastructure platforms with recoverability as a core design principle. Support enterprise backup and recovery capabilities across compute, storage, virtualization, cloud, and application infrastructure. Automate backup validation and recovery workflows to improve consistency and reduce recovery time. Participate in disaster recovery and resiliency exercises, including recovery into alternate or newly established infrastructure environments. Validate that infrastructure recovery processes meet defined recovery objectives. Identify opportunities to continuously improve Recovery Time Objective (RTO) and Recovery Point Objective (RPO) capabilities. Use automation and testing to demonstrate that recovery capabilities work when required rather than relying solely on documented procedures. Soft skills required: Organizational agility, communications, influencing, time management, contextual awareness and ability to work under pressure. The Expertise We're Looking For The ideal candidate will have hands-on experience with several of the following: Infrastructure Linux / Unix Windows Server VMware / Virtualization Enterprise Compute Enterprise Storage Kubernetes / Container Platforms Backup & Recovery technologies Cloud AWS Azure Private / Hybrid Cloud Automation & Infrastructure as Code Python PowerShell Go Lang Shell scripting Ansible Terraform REST APIs Observability Datadog Splunk Prometheus Grafana ELK / OpenSearch OpenTelemetry DevOps / Engineering Git Jenkins CI/CD Agile engineering practices Automated testing Behaviours: Systems-thinking and engineering mindset when approaching complex infrastructure and reliability challenges. Curiosity and discipline in understanding root causes, with a focus on preventing recurrence rather than only restoring service. Automation-first mindset, continuously identifying opportunities to eliminate repetitive operational work and reduce manual effort. Strong problem-solving capabilities across complex, interconnected infrastructure technologies and services. Data-driven decision making, using telemetry, operational insights, and trends to identify and prioritize reliability improvements. Strong understanding of reliability principles, including availability, resiliency, recoverability, observability, scalability, and operational simplicity. Effective collaboration across infrastructure, engineering, operations, application, cloud, and technology teams. Clear communication skills, with the ability to articulate complex technical topics to both technical and non-technical stakeholders. Ownership and accountability, with a strong focus on delivering outcomes and driving continuous improvement. Commitment to engineering excellence, with an emphasis on automation, standardization, simplification, and sustainable operational practices. Location : Bangalore Shift timings : Team members work either of two 9-hour shifts, five days a week on a rotational basis. The shifts are – 6:00 AM to 3:00 PM IST and 02:00 PM to 11:00 PM IST. This includes weekend days and holidays as rostered. Certifications: Category: Information Technology]]>