OpenText Exstream CloudNative Developer - Pasadena - Onsite Interview at Matlen Silver
Pasadena, California, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

80.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Migration Projects, Aws, Ecs, Kubernetes, Computer Vision, Docker, Python, Git, Nlp, Azure, Bitbucket

Industry

Information Technology/IT

Description

Senior OpenText Exstream CloudNative Developer

  • Location: Pasadena, CA (Onsite only – applications from non-local candidates will not be considered)
  • Duration: 6 months + potential extensions
  • Visa Eligibility: Open but don’t submit H1B transfer or OPT
  • Rate: 70-80/hr

MANDATORY REQUIREMENTS:

  • Proven experience in migrating OpenText from on-premise to AWS within enterprise environments, end-to-end.
  • Skilled in planning, strategizing, and roadmapping migration projects.
  • Highly proficient in OpenText Exstream and CloudNative implementations.

MANDATORY REQUIREMENTS:

  • Strong proficiency in Python.
  • Expertise in Agentic App Development and Prompt Engineering.
  • Hands-on experience with AI agent frameworks such as LangChain, LangGraph, and LlamaIndex.
  • Familiarity with at least one major cloud platform (AWS, GCP, or Azure).
  • Proficiency in version control systems like Git or Bitbucket.

PREFERRED SKILLS:

  • Experience with vector databases, embeddings, and RAG.
  • Knowledge of PyTorch, TensorFlow, and Sklearn.
  • Understanding of container technologies (Docker, ECS, EKS, Kubernetes).
  • Familiarity with ML algorithms, NLP, and computer vision.
  • Prior experience in model training, inference, and monitoring.
Responsibilities

KEY RESPONSIBILITIES:

  • Design, maintain, and enhance form templates using Exstream Designer.
  • Configure, support, and optimize Exstream engines.
  • Execute hands-on CloudNative Exstream implementations.

KEY RESPONSIBILITIES:

  • Develop advanced multi-agent systems that integrate enterprise and external data.
  • Leverage LLMs within enterprise pipelines.
  • Design agent orchestration systems for scalable dynamic decision-making.
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