Sr Manager, Data Platform and Engineering

Position Summary

Join a revolutionary team ofDistributedCloud Data platform, Analytics,Cloud service specialists to buildcoredata system, analytics, telemetry, AI/Generative AI powered services at scale in the growing field of multi-cloud SaaS (Software as a Service), Security andMulti Cloud Networkingsolutions.

We are looking for aSr Mangerto join our Data platform andengineeringteam to acceleratedata platformand data and telemetry missions in the F5DistributedCloud PlatformGroup.

This role plays a critical role in leading a data-centric, AI-first, and platform-first strategy, driving the design and development of scalable data systems and observability platforms for next-generation SaaS products.

Responsibilities

• Foster a human-first engineering culture by leading with empathy, kindness, and integrity in day-to-day interactions and decision-making.
• Create an environment of psychological safety for engineers. Promote collaboration across teams and functions and align stakeholders toward shared outcomes.
• Lead and manage a team of engineers responsible fordataplatformstrategy,building scalable datasystems,and observability platforms for SaaS products.

• Drive thearchitecture, design, and evolution of data pipelines, storage, and analytics

• Driveobservability strategies and performance monitoring of system

• Design/develop/enhance datacentric, AI/Gen AI powered services

• Design/develop/enhance telemetry and metrics pipeline and services

• Partner with product, security, SRE, to define platform capabilities, SLAs, and long-term roadmaps,translating business and product requirements into execution plans.

• Mentor and grow engineers through coaching, technical guidance, performance management, and career development.

Required Qualifications

• Be kind.
• Bachelors degree in computer science or equivalent professional experience (12+ years).Technical lead or technical management experience(7+ years).

• ProficiencyinCloud native andprogramminglanguages such as GO,Rust,Java, Python.

• Architectureandhands-onexperience in data platform anddataintelligenceproducts.

• Proficiencyin data/ stream processing (e.g., Kafka,Pubsub,Dataflow,Vector, Spark, Flink), data warehouseanddatalake(e.g.,ClickHouse,StarRocks, Elasticsearch, Big Query, Iceberg,Delta Lake), analytics and AI platform(e.g.Databricks, Snowflake).

• Experienceinbuildingdata platformsat scale, withhighperformanceandreliability.

• ExperienceusingML/AI,Semantic search, Agentic, andGenerative AItechniques in telemetry, platform,productgrowthorengineering productivity.

• Experienceinautomationof data system, analytics pipelineacross on Prem and Cloud.

• Expertisein data model, schema registration and evolution, and compliance in data pipelines(e.g.GDPR, PII masking, encryption).

• Experience with logs, metrics, Prometheus, Open Telemetry,Arrow,distributed tracing.

• Experience with data systemobservability,monitoring, alerting.

• Experience inSaaS multi-tenancy, metering & billing,telemetry.

• Experience with container and orchestration,Kubernetesand Microservice.

• Stronganalytical, troubleshooting, and end to end debugging skills in data system and pipeline with extensive knowledge from network,andInfratechnologies.