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Senior/Staff Software Engineer

๐Ÿ•’ yesterday
Backend DevelopmentPlatform EngineeringJavaPython
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๐Ÿ“œ Description

  • Design, implement, and maintain scalable, secure backend services and platform components.
  • Drive infrastructure automation, CI/CD, and monitoring and alerting pipelines.
  • Collaborate with product engineering and research teams to deploy, scale, and optimize ML/NLP workloads.
  • Lead code, system design, and architecture reviews; teach and mentor team members.
  • Improve reliability, scalability, and developer experience while contributing to platform architecture decisions.
  • Promote code quality, testing, and DevOps best practices across the team.

๐Ÿ› ๏ธ Requirements

  • 5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
  • Proficiency in Java and Python.
  • Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
  • Strong understanding of containerization and orchestration (Docker, Kubernetes).
  • Experience with infrastructure-as-code (Terraform, Pulumi, etc.)
  • Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
  • Experience working on ML platforms or supporting ML workloads in production.
  • Experience designing and operating distributed systems.
  • Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
Full job description

Role Overview:
Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, youโ€™ll work on building and scaling the core infrastructure that powers our AI agent platform. Youโ€™ll help design robust services and scalable systems, with a focus on automation, observability, reliability, and performance.

Key Responsibilities:

  • Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to execute quickly and thoughtfully.
  • Lead code, system design, and architecture reviews while teaching and mentoring team members.
  • Design, implement, and maintain scalable and secure backend services and platform components.
  • Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines.
  • Collaborate with product engineering and research teams to deploy, scale, and optimize ML/NLP workloads.
  • Lead initiatives to improve system reliability, scalability, and developer experience.
  • Contribute to architecture and infrastructure decisions as we scale our platform.
  • Champion best practices in code quality, testing, and DevOps culture across the team.

Qualifications:

  • 5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
  • Proficiency in Java and Python.
  • Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
  • Strong understanding of containerization and orchestration (Docker, Kubernetes).
  • Experience with infrastructure-as-code (Terraform, Pulumi, etc.)
  • Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
  • Experience working on ML platforms or supporting ML workloads in production.
  • Experience designing and operating distributed systems.
  • Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).

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