C
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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