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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading engineering organizations through platform migrations and expansions while ensuring data correctness and operational excellence. Proficient in managing multi-cloud infrastructures and driving technical strategy, with a strong focus on data security and privacy.
Highest-signal resume keywords
10+ Years In Software Engineering6+ Years Managing EngineersExperience Leading Major Platform MigrationsProduction-Scale Kubernetes ExpertiseKnowledge Of Kafka, Flink, And Spark
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Platform ArchitectureData Pipeline EngineeringAPI DesignData Quality ValidationProduction Data ObservabilityGolangJavaPythonC++OpenTelemetry
Soft Skills
Clear CommunicationLeadershipCoachingPerformance ManagementProblem Solving
Tools & Technologies
ClickHouseStarRocksDruidTrinoIcebergDeltaKubernetesHybrid Cloud InfrastructureIaCTelemetry Tools
Industry Keywords
Data SecurityPrivacy ComplianceSLOsIncident ResponseTelemetry Reliability
Tech Stack
Tools & technologiesCloudJavaKafkaKubernetesPythonSparkC++Go
About the role
Key responsibilities & impact- Lead the engineering organization behind F5 AI Data Fabric, an OpenTelemetry-based platform ingesting, processing, transforming, storing, and serving telemetry
- Extend the AI Data Fabric into more F5 data centers and additional cloud providers
- Lead the organization through exponentially increased data volume and source expansion
- Own the full modern data platform stack: ingestion, processing, transformation, storage, and retrieval
- Engage in architecture discussions, unblock critical issues, and evaluate technical trade-offs
- Build, lead, and develop engineering managers by setting goals, coaching, evaluating performance, and maintaining technical and delivery standards
- Drive delivery by allocating capacity, tracking execution, surfacing risks, and resolving cross-team dependencies
- Partner with Product, Finance, SRE, Security, and engineering leadership on platform strategy and resourcing
- Deploy LLMs and other techniques to safely accelerate feedback loops
- Own technical strategy, multi-year roadmap, engineering standards, build-versus-buy decisions, and core technology selection
- Manage vendor and licensing relationships
- Lead phased regional expansion while meeting residency requirements
- Own platform contracts used by AI/ML, analytics, data engineering, and catalog teams
- Prioritize onboarding of new telemetry sources
- Own telemetry reliability, accuracy, timeliness, and auditability
- Own production health, SLOs, on-call, incident command, and post-incident fixes
- Own security and privacy, including data classification, PII handling, access control, threat modeling, and audit readiness
- Own platform efficiency, infrastructure spend, unit economics, and capacity decisions
Requirements
What you’ll need- 10+ years in software engineering
- 6+ years managing engineers
- 2+ years managing managers
- Experience leading an engineering organization through a major platform migration, expansion, or re-architecture without disrupting production
- Track record of delivering and operating enterprise-scale data platforms under formal SLOs and 24/7 accountability
- Experience growing engineering managers, including leveling, promoting, and managing performance at the manager layer
- Experience presenting technical strategy, risk, and investment trade-offs to executive leadership
- Experience engineering data correctness into production pipelines, including validation, reconciliation, and automated detection of quality regressions
- Experience designing platform APIs and data contracts consumed by AI/ML, analytics, and data engineering teams, including training and feature data delivery
- Experience operating a platform whose data feeds billing or externally reported figures
- Knowledge of Kafka, Flink, and Spark
- Experience with ClickHouse, StarRocks, Druid, Trino, Iceberg, and Delta
- Production-scale Kubernetes platform expertise, including cluster and fleet management, scheduling, upgrades, and capacity
- Hybrid, multi-cloud infrastructure expertise with public clouds and on-premise or first-party data centers, IaC, residency and sovereignty constraints, and workload portability
- OpenTelemetry pipeline knowledge, including collectors, semantic conventions, and configuration
- Production data pipeline observability, alerting, and incident response
- Data security and privacy expertise for production data platforms
- Working expertise in Golang, Java, Python, or C++
- Ability to lead through ambiguity and change
- Clear, candid communication with cross-functional and executive stakeholders
Benefits
Comp & perks- Incentive compensation
- Bonus
- Restricted stock units
- Benefits package
- Continuous learning opportunities and mentorship
- Positive and supportive culture
- Inclusive workplace
- Reasonable accommodations for candidates