Senior Specialist of Engineering managing capital projects for global healthcare company. Leading teams to deliver critical assets on time and within budget while collaborating with cross - functional areas.
About the role
- Senior Manager leading data platform strategy and AI services in a cybersecurity company. Building scalable data systems and observability platforms for next-gen SaaS products in diverse environments.
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 for data platform strategy, building scalable data systems, and observability platforms for SaaS products
- Drive the architecture, design, and evolution of data pipelines, storage, and analytics
- Drive observability strategies and performance monitoring of system
- Design/develop/enhance data centric, 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
Requirements
- Bachelor’s degree in computer science or equivalent professional experience (1-2+ years)
- Technical lead or technical management experience (7+ years)
- Proficiency in Cloud native and programming languages such as GO, Rust, Java, Python
- Architecture and hands-on experience in data platform and data intelligence products
- Proficiency in data/stream processing (e.g., Kafka, Pubsub, Dataflow, Vector, Spark, Flink), data warehouse and data lake (e.g., ClickHouse, StarRocks, Elasticsearch, Big Query, Iceberg, Delta Lake), analytics and AI platform (e.g. Databricks, Snowflake)
- Experience in building data platforms at scale, with high performance and reliability
- Experience using ML/AI, Semantic search, Agentic, and Generative AI techniques in telemetry, platform, product growth or engineering productivity
- Experience in automation of data system, analytics pipeline across on Prem and Cloud
- Expertise in 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 system observability, monitoring, alerting
- Experience in SaaS multi-tenancy, metering & billing, telemetry
- Experience with container and orchestration, Kubernetes and Microservice
- Strong analytical, troubleshooting, and end to end debugging skills in data system and pipeline with extensive knowledge from network, and Infra technologies.
Benefits
- F5 offers a variety of reasonable accommodations for candidates
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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