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Platform Strategy Application Engineer

Varite, Inc

  • San Jose, CA
  • 13 days ago
  • Remote
  • $68–$73.94 Per Hour

Highlights

This contract provides temporary coverage within the Platform Strategy Data & Dev Ops Engineering team, maintaining continuity on solutions that power real-time insights and services, including generative AI initiatives, on *** Data Platform internal products and platforms. We're looking for a contractor who can ramp quickly and step into ongoing work with minimal onboarding lag — someone with a strong background combining software development and systems engineering to support scalable, distributed, fault-tolerant systems already in production.

Numbers & Facts

LocationSan Jose, CA (
Remote)
Salary$68–$73.94 Per Hour

Description

Pay Rate Range: $68.00 - $73.94/hr on W2
Location: Highly prefer local to bay area or Utah but also open to remote.
Contract Duration: 10/31/2026 – 2/19/2027 (tentative dates - Leave of Absence coverage for FTE)
Description:
  • Data is a strategic asset of the organization, informing all aspects of business decision-making. This contract provides temporary coverage within the Platform Strategy Data & Dev Ops Engineering team, maintaining continuity on solutions that power real-time insights and services, including generative AI initiatives, on *** Data Platform internal products and platforms.
  • We're looking for a contractor who can ramp quickly and step into ongoing work with minimal onboarding lag — someone with a strong background combining software development and systems engineering to support scalable, distributed, fault-tolerant systems already in production. This person should be comfortable picking up existing codebases and operational responsibilities, troubleshooting production issues, and maintaining momentum on in-flight projects during the coverage period.
Responsibilities
  • Drive and build solutions to enable DataOps processes — pipeline reliability, data quality gates, versioning, and continuous testing/monitoring across the data lifecycle.
  • Maintain, deploy, and run existing applications supporting ***'s 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; respond to and help resolve incidents.
  • Ensure smooth handoff/transition at contract end, including documentation of work performed.
Required Skills
  • 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, etc.
  • 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)
  • Kubernetes for containerized workload deployment and management
  • 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
Preferred Skills
  • 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
Education
  • BS in Computer Science or related field, or equivalent hands-on experience

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