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PointClickCarePointClickCareUnited States

Senior Software Engineer

Senior Software Engineer building and maintaining the AI Platform infrastructure. Requires extensive experience with Kubernetes, observability, cloud services, Java/Spring Boot, and daily use of Generative AI coding assistants.

158k – 176k/yr
Remote5+ YOEML Engineering

About the role

Responsibilities

  • Identify, prioritize and execute tasks in the software development life cycle
  • Work with business to iterate over software requirements
  • Develop tools and applications by producing clean, efficient code
  • Automate tasks through appropriate tools and scripting
  • Analyze and debug systems
  • Perform validation and verification testing in a test-driven manner
  • Review the work of others, and invite others to review your work
  • Collaborate with internal teams and vendors to fix and improve products
  • Ensure software is up-to-date with latest technologies

Requirements

  • Experience writing clean code that performs well at scale using Java (or other functional or object-oriented languages)
  • Experience with Azure cloud services or equivalent
  • Experience with cloud native streaming using Azure Event Hub/Service Bus (or others, such as AWS Kinesis, Google Pub/Sub)
  • In-depth knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL)
  • Experience with GitHub Actions, Jenkins CI/CD pipeline
  • Experience with Spring Boot
  • Solid experience writing RESTful API endpoints
  • Absolutely love TDD and have working knowledge of it
  • Proficient in GIT
  • Experience using system and performance monitoring tools (e.g. Azure Log Analytics, Grafana, DataDog)
  • Experience with automated testing frameworks (e.g. Selenium, Cypress, Jest, Playwright)
  • Excellent organization, critical-thinking and personal leadership skills
  • Self-starter with the ability to deliver with minimal supervision
  • Being okay with the uncomfortable feeling that comes from learning new things
  • Team player
  • Analytical mind with problem-solving aptitude
  • BSc/BA in Computer Science or a related degree
  • Use of Generative AI Code Assistants (e.g. GitHub Copilot) is a must and working knowledge of spec-driven development. Daily application of the latest Generative AI Model capabilities is a must.
  • Extensive experience building and maintaining AI platform infrastructure, Kubernetes, and container security.
  • Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, NLPFlow).
  • Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs.

Nice-to-Haves

  • Experience with Kafka, or Kafka compatible platforms (e.g. Redpanda, WarpStream, or others)
  • Experience with integration engines such as Rhapsody, Mirth, or others
  • Experience with message brokers such as RabbitMQ
  • Experience with Docker, Kubernetes and Istio
  • Experience with Ansible
  • Experience with SAML, OAuth and OpenID Connect
  • Experience working on a SaaS product
  • Experience with Service Oriented Architecture
  • Knowledge of scripting languages such as Python, Bash
  • Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads.
  • Experience with CI/CD pipelines and automation for AI model deployment and platform operations
  • Strong knowledge of authentication and authorization frameworks integrated into AI platforms.

Skills

JavaAzureSpring BootKubernetesREST APIsGitCI/CDtddOpenTelemetrySQLDockerPython

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