Platform Engineer

DTEX Systems

• $150K — $220K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS in CS or equivalent with 5+ years of software development experience.
  • In-depth experience with OpenSearch or ElasticSearch.
  • Strong proficiency in Python or other functional/object-oriented languages, with a history of impactful software delivery.
  • Experience with AWS or GCP, and orchestration tools like Kubernetes or Docker.
  • Proven ability in designing and scaling production-level APIs in cloud environments.
  • Familiarity with Django, PostgreSQL, or other SQL databases.
  • Knowledge of Linux Systemd and related subsystems is a plus.

Responsibilities

  • Design and build scalable microservices to handle high-demand data pipelines.
  • Implement and manage containerization with Podman and Kubernetes.
  • Develop high-quality Python code, focusing on testing and automation.
  • Create and optimize data storage solutions using OpenSearch and Postgres.
  • Enhance search relevance and user experience through continuous optimization.
  • Develop features for big data analytics within the DTEX solution.
  • Establish best practices for system security and compliance.
  • Take ownership throughout the development lifecycle and mentor junior engineers.

Benefits

  • Collaborative work environment with a skilled team.
  • Opportunities for professional growth and skill development.
  • Encouragement of innovation and continuous learning.
  • Involvement in cutting-edge technology development.
Full Job Description
About the Job:
As a Platform Engineer, you will play a crucial role in designing, building, and maintaining our DTEX InTERCEPT platform. You will work with a talented team of engineers to develop and deploy robust solutions that address the ever-evolving challenges of insider risk.

Responsibilities:
  • Expertise in microservice architecture, develop services optimized for speed and scalability, ensuring robust performance of data pipelines under high-demand conditions.
  • Implement and manage containerization technologies, including Podman and Kubernetes, to ensure efficient deployment and operation of our platform.
  • Write high-quality Python code, including testing, automation, documentation, and adherence to software engineering best practices.
  • Design and implement efficient strategies for storage and retrieval of high-volume data from OpenSearch and Postgres databases.
  • Lead efforts to improve search relevance, performance and user experience through tuning, optimization, and experimentation.
  • Design and implement features for the big data analytics platform that is part of the DTEX solution.
  • Implement best practices for system security and data protection, adhering to industry standards and compliance requirements.
  • Demonstrate a high degree of ownership in all facets of the development lifecycle, from design to deployment and iterative improvements.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications/Attributes:
  • BS in CS or equivalent and 5+ years of experience in developing software.
  • Indepth experience using OpenSearch or ElasticSearch.
  • Proven experience in writing high quality code in Python or any other functional/OO language with a track record of shipping impactful software.
  • Proficiency in at least one of the Cloud Technologies AWS or GCP and orchestration using Kubernetes, EKS, ECS, Docker Swarm or Mesos.
  • Proficiency in implementing, designing, and scaling production level APIs in cloud environments.
  • Proficiency in Django, PostgreSQL, or any other SQL database,
  • Knowledge of Linux Systemd, daemons, services, and cron subsystems is a huge plus but not a requirement.
  • Strong communication and organizational skills.
  • Proactive self-starter.
  • Demonstrated ability to simplify complex problems and prioritize what matters most for the team and business.
  • Prior experience working in a startup is a plus
  • Experience using IDE embedded AI is a plus

Exact compensation may vary based on skills, experience, and location.
Base salary range (SF Bay Area): $150K-220K

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