About The Position

The role of IFS Principal Site Reliability Engineer – Performance Engineering (Principal-SRE) exists within the Unified Support organization/division and serves as a technical and strategic leader for Site Reliability Engineering practices. By being part of the shift operation and broader SRE leadership, a Principal-SRE will drive 24x7x365 support excellence to IFS customers across the globe within the Aerospace & Defense (A&D) industry vertical while establishing and elevating SRE practices across the organization. This role sits within a dedicated performance engineering team supporting our Ultra High Availability (Ultra HA) on Exadata customers, where sustained database and application performance is a contractual commitment rather than a best-effort goal. As Principal SRE – Performance Engineering, you will be responsible for architecting and evolving the reliability frameworks, automation platforms, and operational strategies that underpin IFS's cloud-native products and infrastructure. This role involves setting technical direction, leading cross-functional teams, and partnering with R&D, Product, and Operations leadership to ensure that reliability is embedded at every level of service delivery. You will be an influential technical leader who drives organizational transformation through SRE principles, automation, and continuous improvement culture.

Requirements

  • University degree or equivalent professional qualification in Software Engineering, Computer Science, Information Technology, or similar discipline
  • Demonstrated expertise in modern ticket/service desk tooling (ServiceNow, Jira Service Desk, or equivalent)
  • ITIL, ISO 20000, or equivalent IT service delivery framework certification; or demonstrated mastery through practical application
  • Minimum 10+ years of progressive experience in cloud computing services, enterprise IT delivery, or site reliability engineering
  • Minimum 7-8 years in hands-on SRE, DevOps, or cloud operations roles with demonstrated impact on reliability, automation, and operational efficiency
  • Proven experience leading SRE teams and establishing SRE practices across organizations
  • Deep understanding of low-level concepts in cloud computing (resource management, networking, storage, security)
  • Demonstrated expertise in performance engineering including load testing, capacity planning, and system optimization
  • Experience supporting mission-critical, high-availability systems (preferably in Aerospace, Defense, Finance, or similar industries)
  • Hands-on experience operating or supporting Oracle Exadata platforms in production, ideally under Ultra High Availability or comparable premium-SLA commitments
  • Demonstrated experience in a dedicated performance engineering or performance-analysis function, owning latency, throughput, and capacity outcomes for named enterprise customers
  • Track record of designing and implementing large-scale automation platforms that reduce toil and improve MTTR
  • Demonstrated ability to establish and drive organizational change around reliability and operational excellence
  • Expert-level cloud service administration and operations (Azure, AWS, GCP)
  • Kubernetes/Docker architecture, operations, and troubleshooting at production scale
  • Network administration and troubleshooting (DNS, Load Balancing, VPN, firewall rules)
  • Enterprise storage solutions, block storage, and object storage optimization
  • Expert-level Oracle database administration and performance tuning
  • Expert-level Oracle database monitoring and diagnostics — AWR, ASH, ADDM, Statspack, SQL trace/TKPROF, and Oracle Enterprise Manager (OEM) — with the ability to move from symptom to root cause under production pressure
  • Advanced Oracle performance troubleshooting: wait-event and contention analysis, execution-plan regression, SQL and PL/SQL tuning, optimizer statistics, partitioning, and index strategy
  • Oracle high-availability architectures for Ultra HA workloads — RAC, Data Guard/Active Data Guard, ASM, and RMAN — including failover testing and recovery validation
  • Understanding of connection pooling, query optimization, and capacity planning for high-concurrency systems (3,000+ connections)
  • Experience with database backup, recovery, and disaster recovery strategies
  • Hands-on Oracle Exadata administration and performance management (Smart Scan, storage indexes, IORM, flash cache, cell-level diagnostics) — required for Ultra HA customer environments
  • Web server administration and troubleshooting (Wildfly, WebLogic, Nginx)
  • Application performance monitoring (APM) and optimization across the full request path — instrumentation, transaction tracing, and latency breakdown from web tier through middleware to the database
  • SSL/TLS certificate management and security best practices
  • Advanced proficiency in BASH, PowerShell, Python, or Go scripting
  • Infrastructure-as-Code expertise (Terraform, Ansible, CloudFormation)
  • CI/CD pipeline design and implementation
  • GitOps and declarative infrastructure practices
  • Design and implementation of enterprise-scale monitoring solutions
  • Hands-on experience with Elasticsearch and the Elastic Stack (Elasticsearch, Logstash/Beats, Kibana) for log aggregation, search, and analysis at scale; equivalent experience with Splunk or DataDog also considered
  • Grafana dashboard design and metrics visualization, including building performance dashboards that surface Oracle, infrastructure, and application metrics side by side (Prometheus or equivalent metrics backends)
  • OpenTelemetry-based instrumentation and distributed tracing, or equivalent APM tooling (Dynatrace, AppDynamics, New Relic, Elastic APM)
  • Ability to correlate database, infrastructure, and application telemetry into a single performance narrative, and to build proactive alerting on leading indicators of degradation rather than outright failure
  • Expert ability to debug complex, multi-tier applications
  • Deep understanding of application server internals and JVM diagnostics
  • Network packet analysis and protocol debugging
  • Linux system troubleshooting and performance analysis
  • Strategic thinking and ability to translate business objectives into technical strategies
  • Executive communication skills with ability to present complex technical concepts to non-technical stakeholders
  • Team leadership and mentorship abilities with proven track record of developing technical talent
  • Change management and organizational influence skills
  • Problem-solving with ability to innovate new approaches to complex challenges
  • Decision-making under pressure with ability to weigh trade-offs between reliability, cost, and feature delivery
  • Emotional intelligence and ability to build trust across diverse, international teams
  • Proactive ownership of work items and willingness to challenge status quo for improvement
  • Self-learning and ability to stay current with rapidly evolving cloud technologies and SRE practices
  • Excellent communication in English (verbal and written) for cross-functional collaboration

Nice To Haves

  • Advanced cloud security best practices (Zero Trust, Identity & Access Management, encryption)
  • Extensive experience supporting large Aerospace & Defense customers and understanding of industry-specific compliance requirements
  • Performance engineering mastery including advanced load testing, capacity planning, and cost optimization strategies
  • Experience with Disaster Recovery (DR) planning and execution, including multi-region failover and RTO/RPO optimization
  • Expertise in cost optimization and FinOps practices for cloud infrastructure
  • Hands-on experience with event streaming platforms (Kafka, RabbitMQ) and asynchronous architecture patterns
  • API design and management experience
  • Machine Learning/AI applications for observability, anomaly detection, or predictive remediation
  • Certifications such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA (Certified Kubernetes Administrator)
  • Oracle certifications (OCP Database Administrator, Exadata Database Machine Certified Implementation Specialist) or Elastic/Grafana certifications
  • Experience contributing to OpenTelemetry, Elastic, or Grafana ecosystems, or building custom exporters and instrumentation libraries
  • Published articles, conference talks, or open-source contributions in SRE or DevOps domains
  • Contribution to SRE community through mentorship, speaking, or knowledge sharing

Responsibilities

  • Set technical direction and establish long-term reliability strategies for IFS cloud products supporting the A&D industry
  • Partner with R&D, Product, and Customer Success leadership to define reliability requirements and drive architectural decisions
  • Design and oversee implementation of enterprise-scale observability, automation, and incident response platforms
  • Lead architectural assessments and provide recommendations on infrastructure resilience, capacity planning, and disaster recovery
  • Drive adoption of SRE best practices across product teams, establishing metrics and accountability for reliability
  • Own proactive performance monitoring for Ultra HA on Exadata customers — database health, workload profiles, wait events, and application response times — and act on trends before they breach SLA
  • Lead deep performance investigations spanning the Oracle database, application servers, and infrastructure, producing evidence-based tuning and capacity recommendations
  • Design and maintain the performance observability stack (Elastic, Grafana, OpenTelemetry/APM), including dashboards, baselines, and alert thresholds tied to customer SLOs
  • Run performance baselining, load testing, and pre-release validation for Ultra HA environments, and quantify the impact of changes before they reach production
  • Produce customer-facing performance reporting and participate in service reviews for Ultra HA accounts
  • Lead resolution of long-running, complex, and critical incidents affecting A&D customers; establish escalation frameworks and decision-making protocols
  • Establish incident command systems, on-call rotations, and escalation procedures that balance response speed with team sustainability
  • Drive post-incident review processes that focus on identifying systemic improvements rather than individual blame
  • Establish incident trends analysis and drive prevention of recurrence through root cause elimination
  • Champion the elimination of toil through intelligent automation, leveraging AI to reduce redundant, admin-heavy tasks
  • Design and implement self-healing systems, automated remediation, and predictive alerting to minimize manual intervention
  • Establish continuous improvement programs that measure, track, and drive down Mean Time To Detect (MTTD) and Mean Time To Recovery (MTTR)
  • Drive infrastructure-as-code adoption, standardization, and versioning across cloud platforms (Azure, AWS, GCP)
  • Establish runbook automation and GitOps practices for reliable, auditable deployments
  • Establish knowledge management frameworks and internal KBAs that guide support operations for cloud-based applications
  • Create and maintain architecture documentation, disaster recovery playbooks, and operational runbooks
  • Lead documentation standards that ensure knowledge is accessible, accurate, and actionable for all support tiers
  • Identify systemic knowledge gaps and drive closure through training, documentation, and process improvement
  • Liaise with R&D and Unified Support Engineering to define automation requirements and platform capabilities for cloud applications
  • Partner with customer success and professional services teams to translate customer reliability requirements into technical strategies
  • Lead working groups and architecture reviews with multiple stakeholders to ensure reliability-first design decisions
  • Establish feedback loops between support operations and product development to drive product reliability improvements
  • Mentor and develop SRE team members, establishing technical mastery standards and career progression frameworks
  • Lead technical training programs on cloud operations, Kubernetes, performance engineering, and SRE methodologies
  • Foster a culture of learning, experimentation, and continuous improvement within the SRE organization
  • Establish on-call culture that balances operational needs with team well-being and sustainable practices

Benefits

  • The company is committed to sustainability.
  • Opportunity to be part of a global, diverse environment.
  • Opportunity to make a positive impact on the world.
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