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Apple

Workflow Automation SRE, ASE Data Services

Seattle, WA$142,300 – $263,300Posted 24 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

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Apple's Services Engineering organization (ASE) is seeking experienced site reliability engineers to build and maintain the workflow orchestration and automation platform for our Data Services fleet. Data Services SRE operates Cassandra, Redis/Valkey, Kafka, Solr, and our Coordination systems (ZooKeeper, etcd, Parallax) across Apple's data centers worldwide. These systems form the platform upon which iCloud and many other internet services at Apple are built. The operations that keep this fleet healthy (rolling upgrades, host replacements, cluster expansions, backup and restore, release qualification) are long-running, multi-step, failure-prone procedures that today rely on internal workflow systems and manual runbooks. You will work to replace these legacy systems with durable, observable, resumable workflows. Your work will reduce on-call toil, cut incident recovery time, and turn tribal operational knowledge into self-documenting code. In ASE, your work benefits hundreds of millions of users and is critical to the reliability of some of the most visible current and future Apple features.

Description

The ASE Data Services workflow effort builds automation that is safe, reliable, observable, and resumable. This work requires an innovative spirit and an extraordinary degree of care and rigor in engineering. These workflows operate on production databases at massive scale, where a mishandled rolling upgrade or host replacement has real customer impact. You will support the workflow engine layer underlying Apples most critical database systems which power all of Apples internet services. You will design and build workers and workflow definitions, composing operations across existing execution layers: host and pod provisioning, cluster topology discovery, and our monitoring and alerting systems. You will migrate operational logic off home-grown workflow tooling onto a durable execution model with retry, signal, query, and full execution history. This role requires excellent communication, the ability to partner closely with developers, SRE, and platform teams, and a high degree of customer focus when engaging with the internal stakeholders who will run these workflows every day. As a distributed team, the ability to work effectively with colleagues based in other locations is essential; experience in this area is a plus. Prior experience building or operating workflow/orchestration systems, or operating distributed databases and storage systems at scale, is recommended.","responsibilities":"Design, build, and operate durable workflow automation for Data Services operations (rolling upgrades, host replacement, cluster expansion and shrink, backup and restore, and release qualification).

Write workflow and activity code that composes existing systems (per-node management APIs, provisioning APIs, topology discovery, monitoring/alerting, notifications) into safe, resumable operations.

Apply core SRE practice (monitoring, alerting, and incident management) to the automation platform itself and to the operations it drives.

Migrate operational logic off legacy workflow systems and manual runbooks, triaging what ports directly, what should be rewritten, and what can be retired.

Build the developer and operator experience around these workflows: CLIs, execution visibility, and the patterns other SREs use to submit, monitor, signal, and debug running operations.

Understand database operational concepts deeply enough to automate them safely: drain and recovery semantics, ring balancing, streaming, health validation, and the failure modes of multi-step operations against a live cluster.

Operate across bare-metal, virtualized (EC2), and containerized (Kubernetes) platforms, deploying workers to Kube and reasoning about cross-datacenter connectivity, host placement, and failure domains.

Partner with platform teams across the org to keep our work aligned, portable, and contributing back where it makes sense.

Preferred Qualifications

Direct experience with workflow systems (or comparable durable-execution engines such as Temporal or Cadence): writing workflows and activities, reasoning about retries, signals, queries, heartbeating, and execution history

Experience operating or building tooling for distributed databases / storage systems (Cassandra, Redis/Valkey, Kafka, Solr, ZooKeeper, etcd)

Understanding of database concepts: consistency models, isolation levels, crash and recovery semantics

Operational experience deploying in and running on datacenter and cloud architectures: networking topologies, host placement strategies, and failure modes; design of multi-datacenter systems; failure domains; and wide-area networking

Performance engineering (design concepts, profile-guided optimization)

Familiarity with mTLS / certificate-based service auth and Kubernetes-native worker deployment

Experience replacing legacy or home-grown orchestration with modern, observable platforms

Comfort working in a distributed team across multiple sites and time zones

Minimum Qualifications

BS or MS in Computer Science / related fields or equivalent work experience

5+ years in a Site Reliability Engineering or infrastructure-focused engineering role

Proficient in Java; proficiency in Go (golang) or Python is also valuable

Hands-on experience designing or operating workflow / orchestration / job-scheduling systems, or building substantial automation for stateful, long-running, failure-prone operations

Support of internet-facing production services and distributed systems via deployments, on-call, and incident management

Experience running large-scale infrastructure with a heavy reliance on automation tooling

Real operational experience managing services at scale on Kubernetes

Excellent troubleshooting and performance deep-dive analysis

Self-motivated and inquisitive, with an aptitude to learn new technologies quickly and effectively

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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