Platform Strategy Application Engineer

Cypress HCM; San Jose (CA); Hybrid; USD 92,000 - 154,000; Full time

Job summary

Cypress HCM seeks an experienced Platform Strategy - Application Engineer for a contract-based role in a hybrid setup. The position covers ongoing coverage of the Data & Dev Ops Engineering team, focusing on real-time insights, AI initiatives, and Azure Event Hubs migrations.

You will ramp quickly into existing systems, troubleshoot production issues, and maintain momentum on in-flight projects during the contract window, with a strong emphasis on reliability and scalable data platforms.

Qualifications

• Expertise with the Databricks ecosystem including Spark, Python, and Airflow.
• Proficiency with Kafka and streaming tech (REST Proxy, Kafka Connect, Kafka Streams, Spark Streaming, Azure Event Hubs).
• Strong programming background in Python/Java/JavaScript and API/microservices design.
• Solid understanding of software testing and data quality practices.
• Experience with database/data warehouse platforms (Databricks, MySQL, SQL Server, Oracle, Redshift).
• Proficiency with Unix, containerization (Kubernetes, Docker, Helm).
• Observability tooling (Prometheus, Grafana, New Relic).
• CI/CD for data platforms (CircleCI, Argo CD) and orchestration (Airflow, Lakeflow).
• Runbook development and dev/stage/prod promotion practices.
• Ability to work independently with 4+ years hands-on experience.

Responsibilities

• Drive and build DataOps solutions for reliable pipelines and data quality.
• Maintain, deploy, and run apps supporting data analytics, real-time, and AI.
• Build migrations from Confluent Kafka to Azure Event Hubs.
• Create automation for scaling, CI/CD, monitoring, testing, and observability.
• Monitor platform health, performance, and reliability; participate in on-call rotations.
• Ensure smooth handoff at contract end with proper documentation.

Skills

Databricks

Spark

Python

Airflow

Kafka

APIs

Java

JavaScript

Data quality

CI/CD

Kubernetes

Docker

SQL/Data warehousing

Education

BS in Computer Science or related field

Tools

Azure Event Hubs

Kubernetes

Docker

Helm

Prometheus

Grafana

New Relic

CircleCI

Argo CD

Jenkins

Airflow

Job description

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