418 jobs for "Software Engineer - Distributed Systems"

Software Engineer - ETL Platform, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

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Senior Software Engineer (Technical Architect) - Wallet Platforms

At Apple - Cupertino

Posted on Oct 17

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Senior Software Engineer (Technical Architect) - Wallet Platforms

At Apple - Cupertino

Posted on Oct 17

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Senior Software Engineer Enterprise Technology Services

At Apple - Sunnyvale

Posted on Oct 17

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Sr. Software Engineer, Infrastructure Services (Data Plane)

At Apple - San Francisco Bay Area

Posted on Oct 17

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Senior Software Engineer, Apple Services Engineering

At Apple - San Francisco

Posted on Oct 16

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Software Engineer, Trusted Execution, SEAR

At Apple - Cupertino

Posted on Oct 16

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Software Engineer Graduate (Data Ecosystem) - 2027 Start

At TikTok - San Jose

Posted on Oct 16

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Software Engineer, Infrastructure Services (Data Plane)

At Apple - San Francisco Bay Area

Posted on Oct 14

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Software Engineer - Data Platforms, IS&T Ai & Data Platforms

At Apple

Posted on Oct 11

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Sr Software Engineer, Infrastructure Services

At Apple - San Francisco Bay Area

Posted on Oct 11

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Sr Software Engineer (Java) - Business Process Reengineering (BPR) and Sales Engineering

At Apple - Cupertino

Posted on Oct 10

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Backend Software Engineer, Global E-commerce - Seller Business - Global E-Commerce US

At TikTok - Seattle

Posted on Oct 9

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Backend Software Engineer - TS/SCI

At Esri - Vienna

Posted on Oct 15

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Backend Software Engineer - TS/SCI

At Esri - St. Louis

Posted on Oct 15

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Backend Software Engineer - TS/SCI

At Esri - Redlands

Posted on Oct 15

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Staff Engineer - Software Development

At Xperi - Bangalore

Posted on Oct 14

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Software Development Engineer, Streaming Media

At TikTok - San Jose

Posted on Oct 29

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Software Development Engineer (Postgres), AI & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 10

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Full Stack Engineer

At Apple

Posted on Oct 19

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Apple

Software Engineer - ETL Platform, IS&T Ai & Data Platforms

ChinaPosted 21 days ago

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AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We are hiring an SRE to own reliability, performance, data freshness, and operational readiness for our production ETL platform. The platform supports data ingestion, transformation, and loading workflows across Kubernetes-based environments - including Airflow-based loader jobs and Spark-on-EKS jobs that load data into a Datalake/Lakehouse.

Description
You will operate and triage production pipelines end-to-end: extractors, loaders, batch jobs, streaming ingestion (Kafka), Spark workloads, and Airflow DAGs. You will tune Kubernetes and Spark for stability, build observability tooling, drive root cause analysis, write automation to reduce toil, and manage configuration and secrets through GitOps-style processes. The ideal candidate troubleshoots distributed systems from logs, metrics, and infrastructure signals, and drives permanent fixes through engineering partnership.

Preferred Qualifications
Experience supporting metadata-driven ETL platforms or internal ETL frameworks.
Experience with Lakehouse technologies (Spark, Iceberg, IRC, Hive Metastore, Parquet) and data loading performance tuning.
Experience with GitOps or source-of-truth configuration management, and infrastructure-as-code tools (Terraform, Helm, Argo CD, Ansible).
Experience operating multi-region or region-specific data platforms.
Experience with certificate/PKI/TLS management, JKS/truststore, Kerberos, or key rotation processes.
Familiarity with Spark performance tuning at scale, and platform dependencies such as API gateways, RabbitMQ, Redis, or Cassandra.

Minimum Qualifications
4+ years of experience in SRE, DevOps, platform engineering, data infrastructure, or production operations with strong Linux troubleshooting skills.
Strong Kubernetes/EKS operations experience (kubectl, deployments, pods, resource limits, service accounts, secrets, workload debugging) and hands-on experience supporting Apache Spark on Kubernetes - including tuning, log analysis, memory issues, shuffle failures, and performance bottlenecks.
Production experience with Apache Airflow (DAG operations, task failures, retries, scheduling, SLA misses) and Kafka or similar streaming platforms (consumer groups, lag, offsets, partitions, secure client connectivity).
Familiarity with Datalake/Lakehouse architectures, object storage (S3 or equivalent), monitoring/logging tools (Splunk, Prometheus, Grafana, CloudWatch, ELK, Datadog), and solid SQL skills.
Scripting proficiency in Python and Bash, with strong incident management, RCA, change management, and operational documentation skills.

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Industry: Technology: Manufacturing

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