# Senior Software Engineer

**Company:** [PointClickCare](https://hotfix.jobs/companies/pointclickcare)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $158k – $176k/yr
**Experience:** 5+ years
**Skills:** Java, Azure, Spring Boot, Kubernetes, REST APIs, Git, CI/CD, tdd, OpenTelemetry, SQL, Docker, Python
**Posted:** 2026-07-21

> 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.

## Job Description

## 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.

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**Apply:** https://hotfix.jobs/jobs/fb91f9dd-0779-4a5a-9480-4dbc9d205816
**Canonical:** https://hotfix.jobs/jobs/fb91f9dd-0779-4a5a-9480-4dbc9d205816