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Platform Strategy Application Engineer

Exclusive opportunity

Onsite

Platform Strategy Application Engineer

Cypress HCM

Platform Strategy Application Engineer

Skills

SQL QueriesMongoDBDockerPythonJavaMicroservicesMySQLCassandraKafkaRedisDatabricksJenkinsGrafanaData AnalysisAIAWSPrometheusCircleCIKubernetesOracleApache AirflowJavascriptAzure

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

16 September 2026

What they need


Job Details

  • Platform Strategy - Application Engineer
  • Location: Hybrid in San Jose CA 95110, San Francisco CA 94107, Lehi UT 84043 (Open to Remote)
  • Duration: 11/02/2026 – 02/19/2027 (Contract)
  • Team: IDS Data Platform

Job Description

  • Provide temporary coverage within the Platform Strategy Data & Dev Ops Engineering team to maintain continuity on solutions that power real-time insights and services, including generative AI initiatives, on Adobe Data Platform internal products and platforms.
  • Ramp quickly into ongoing work with minimal onboarding lag to support scalable, distributed, fault-tolerant production systems, pick up existing codebases and operational responsibilities, troubleshoot production issues, and maintain momentum on in-flight projects during the coverage period.

Responsibilities

  • Drive and build solutions to enable DataOps processes, including pipeline reliability, data quality gates, versioning, and continuous testing/monitoring across the data lifecycle.
  • Maintain, deploy, and run existing applications supporting data analytics, real-time, and AI solutions.
  • Build solutions to migrate from open source Confluent Kafka to Azure Event Hubs.
  • Build automation solutions for system scaling, CI/CD, monitoring, testing, and observability.
  • Monitor and help sustain data/analytics platform health, performance, and reliability.
  • Participate in on-call rotations and respond to and help resolve incidents.
  • Ensure smooth handoff/transition at contract end, including documentation of work performed.

Qualifications

  • Expertise with the Databricks ecosystem: Spark, Python, and Airflow.
  • Proficiency with Kafka and related streaming technologies: REST Proxy, Kafka Connect, Kafka Streams, Spark Streaming, Azure Event Hubs.
  • Strong programming background in one or more major languages: Python, Java, JavaScript.
  • Demonstrated experience creating APIs and microservices.
  • Solid understanding of software testing and data quality practices.
  • Experience with database/data warehouse platforms: Databricks, MySQL, SQL Server, Oracle, Redshift.
  • Proficiency with Unix and containerization technologies: Kubernetes, Helm, Docker.
  • Experience configuring/using observability tools: Prometheus, Grafana, New Relic.
  • CI/CD pipeline design and deployment automation for data platforms (e.g., CircleCI or equivalent), including orb/reusable-component contribution workflows.
  • Experience with job scheduling and orchestration tools (e.g., Airflow, Astronomer, Lakeflow Jobs) and environment promotion practices (dev/stage/prod).
  • Familiarity with runbook development and enforcement for operational governance.
  • Ability to work independently and productively with minimal ramp-up time.
  • 4+ years of relevant hands-on experience.
  • BS in Computer Science or related field, or equivalent hands-on experience.

Preferred Qualifications

  • Experience building AI applications.
  • Web UI development: HTML/CSS/JavaScript/jQuery.
  • Cloud platform experience (AWS, Azure).
  • Build automation/config management: CircleCI, Saltstack, Jenkins, Argo CD.
  • Exposure to NoSQL technologies: Redis, Cassandra, MongoDB, DynamoDB.

Compensation

  • Pay Rate: $73.94/hour

Requisition ID: 37643099

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