Palo Alto Networks内推DevOps

内推Senior或者Staff DevOps岗位，直接把简历推到Hiring Manager手里。

主要做dev ops和data ops，因为是新组、新项目，自由度比较高，所以希望有一定的devops经验。如果对GCP很熟悉，那就非常好了！

因为是内部消息，职位还没有正式放出来，以下是Job Description，有兴趣的话可以把简历发到邮箱

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，谢谢大家！

--- JD ---

Your Career
We're seeking a principal engineer who is both a database expert and a production data operator, to keep the data behind our AI security products safe, fast and always available. You will set the database architecture and reliability standards for the AIRS data platform, own the health and performance of every database on it, approve what changes them in production, and own how data changes reach production and stay healthy once they're there. You care about one outcome above all: no customer-facing outage caused by a data change. You get there by turning your expertise into automated checks and AI agent skills, not by reviewing everything by hand. Collaboration is at the heart of our culture, and you will lead across platform engineering, product teams, security and SRE towards a common goal.
Your Impact

• Set the database architecture and reliability standards for the platform across regions: engine choices, high availability, disaster recovery, data residency, and recovery objectives
• Own production schema changes across the platform: review and approve database release scripts, enforce additive changes in production, and plan the changes that rewrite or drop data in maintenance windows
• Turn database review into automated checks (lock and rewrite detection, index builds that don't block, change duration estimates) so routine changes ship on their own and only risky ones need a human
• Partner with product teams at design time to establish backward-compatible schema contracts and query performance budgets, and advise on data modelling, indexing and access patterns
• Operate PostgreSQL (Cloud SQL / AlloyDB) across multiple regions: high availability and failover, tested backup and point-in-time recovery, upgrades, capacity and performance; and keep BigQuery partitioning, retention and cost healthy with the platform team
• Operate the controlled paths into production data: reviewed data fixes with dry runs and rollback snapshots, and time-limited, audited read access for incidents, plus a tested break-glass procedure
• Build default monitoring, alerts and runbooks for data freshness, quality and database health; act as incident commander for database incidents and lead disaster recovery exercises
• Lead the database side of migrating AIRS products onto the platform: parity checks table by table, then cutover region by region with no data loss
• Attribute storage and query cost to the owning team and application, and find waste before it shows up on the bill
• Mentor engineers across AIRS on database design and safe change, and grow database expertise beyond yourself

Your Experience

• Must have BS/MS in Computer Science/Engineering or equivalent experience, with 8~10 years in database reliability, database administration or data platform engineering for production systems
• Must have deep PostgreSQL experience: query planning, indexing, locking and MVCC, WAL and replication, backup and recovery, major version upgrades, and tooling such as pg_stat_statements, pg_repack and PgBouncer
• Must have hands-on experience making schema changes with zero downtime: expand and contract, non-blocking index builds, backfills that don't lock
• Must have 5+ years of experience with Google GCP, including managed PostgreSQL (Cloud SQL or AlloyDB), and working knowledge of BigQuery
• Must have experience leading the database architecture of multi-region cloud systems, including high availability and disaster recovery
• Must have experience leading incident response for production databases and data pipelines
• Must have strong SQL and Python, and experience with Linux and Shell scripting
• Must have experience managing database infrastructure as code (Terraform), and working knowledge of Kubernetes (GKE)
• Must have proven cross-team influence: setting standards other teams adopt, and clear review comments, runbooks and incident reviews
• Must have great problem-solving skills
• Prefer experience with schema migration linters or safe-migration tools (e.g. Squawk, pgroll, Bytebase)
• Prefer experience with data residency requirements across regions
• Prefer experience with Pub/Sub, Kafka, change data capture (CDC), or streaming pipelines
• Prefer experience with graph databases (Neo4j)
• Prefer experience with encryption using customer-held keys (BYOK), row-level security, or tenant isolation
• Prefer experience working with or building automation for AI coding agents

The Team
As part of the AIRS data platform team, you'll help build the shared data foundation for Prisma AIRS. Product teams declare the data they need, and the platform's agents check, build, deploy and monitor it, in every region, with customer data staying in its region. Our first application is already running on the platform. Next we take it to production quality and move AI Discovery and Red Teaming onto it with live traffic. You won't find someone at Palo Alto Networks that isn't committed to your success – with everyone pitching in to assist when it comes to problem solving, learning, and development.