Senior Backend Software Engineer - Metadata Platforms (Java, Python, AWS) - 1591

Posted 2026-05-06
Remote, USA Full-time Immediate Start

Job Description
City:Santa Monica/Seattle/San Francisco/NYC

Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)

Duration: 3 Months

Rate Range: Upto $96/hr on W2

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

    Must Have:
  • 5+ years of backend software engineering experience
  • Strong Java and Python development experience
  • Strong AWS experience
  • Strong knowledge of data structures, algorithms, and object-oriented programming
  • Experience building backend services and APIs
  • Experience with event-driven or pub/sub architecture
  • Experience with relational databases such as MySQL or PostgreSQL
    Responsibilities:
  • Design and build scalable backend services for metadata ingestion, association, aggregation, normalization, and distribution
  • Lead technical design and implementation of new features
  • Develop clean, maintainable, and high-quality code
  • Partner with engineering leadership and project teams on delivery planning and execution
  • Identify system and workflow improvements to increase reliability and scalability
  • Support and mentor junior and mid-level engineers
  • Contribute to systems that manage large-scale content metadata for downstream platform use
    Qualifications:
  • 5+ years of software development experience
  • Strong backend engineering background; this is not a data engineering role
  • Hands-on experience with Java, Python, and AWS services such as Lambda, Kinesis, SQS/SNS, and DynamoDB
  • Experience with relational and NoSQL databases
  • Experience with Kafka, Kinesis, or similar event-driven systems
  • Strong computer science fundamentals including data structures, algorithms, and software design
  • Ability to work independently and solve complex technical problems
  • STEM degree required
    Nice to Have:
  • Spring Boot
  • DynamoDB
  • PostgreSQL
  • Kafka
  • Kinesis
  • Neo4j
  • Terraform
  • GraphQL
  • Some front-end exposure

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