Title: Jr. Software Engineer (Java / Python) Location: Remote (Must be near: Scottsdale, AZ | Colorado Springs, CO | Northern Virginia | Bay Area, CA | Taunton, MA | Pittsburgh, PA) Experience: 0.5 – 2+ Years Employment Type: W2 We're looking for a Junior Software Engineer with a passion for Java, Python, Cloud, and DevOps to join a dynamic team working on cutting-edge projects. Key Responsibilities: Develop, test, and enhance software applications and tools Support infrastructure and system-level requirements Work on API design, development, and testing Collaborate across development, operations, and security teams Contribute to system improvements and new product development Required Skills: Proficiency in Java & Python Strong understanding of API development & Agile methodologies Knowledge of DevOps, CI/CD pipelines, and automation Experience with AWS (EKS, EC2, Lambda, S3, IAM, etc.); Azure is a plus Familiarity with Docker, Kubernetes, and infrastructure as code Understanding of security best practices & monitoring tools Tools & Technologies: GitLab, Ansible, Terragrunt, ArgoCD, Maven, VS Code Kubernetes, Docker Splunk, Prometheus, Grafana, ELK Stack Git, Jira, Confluence Qualifications: Bachelor's in Software Engineering or related STEM + 2 years experience OR Master's + 6 months experience Bonus Skills: Exposure to AI tools / prompt engineering Strong analytical, documentation, and collaboration skills Great opportunity for early-career engineers to grow in Cloud, DevOps & AI! Share your resume at: Sagar@glinttechsolutions.com

We are only open to candidates in the provinces of ONTARIO or QUEBEC. We’re looking for a motivated Intermediate Backend Software Developer to help build and evolve the backend infrastructure powering our product suite — with a strong emphasis on our AI chatbot assistant. This is a general backend engineering role, but the current focus of the team is an AI system that includes Retrieval-Augmented Generation (RAG), multi-step agentic workflows, tool calling to external services, memory management, and seamless integration with LLMs. You’ll design scalable, reliable backend services that serve as the foundation for AI-driven features while continuing to support traditional backend needs (APIs, data persistence, integrations, and performance). We value strong engineering fundamentals over mastery of any single legacy framework. Key Responsibilities - Design, build, and maintain scalable RESTful/GraphQL APIs and microservices that power our AI chatbot and other backend systems. - Implement agentic AI systems using frameworks like LangChain/LangGraph (or equivalent): multi-agent orchestration, tool calling to external APIs, reasoning loops, memory, and state management. - Integrate with third-party LLM providers and handle prompt engineering, rate limiting, cost optimization, and fallback logic. - Develop and optimize RAG pipelines — including document ingestion, embedding generation, vector search/retrieval, and context-aware response generation. - Work with both traditional databases and modern vector databases. - Build and maintain reliable integrations with external services via APIs, webhooks, and event-driven patterns. - Ensure high availability, performance, security, observability, and scalability of all backend services (monitoring, logging, caching, async processing). - Write clean, testable, well-documented code and actively participate in code reviews, architecture discussions, and agile ceremonies. - Collaborate closely with other engineering teams and product stakeholders to deliver end-to-end features. Additional Responsibilities - Develop, configure, and maintain cloud infrastructure on which the applications run. - Participate in 24/7 on-call rotation for team-owned projects. Required Qualifications - 5+ years of hands-on backend software development experience. - Strong proficiency in Python and modern Python web frameworks (FastAPI, Django, or Flask strongly preferred). - Solid understanding of relational and NoSQL databases, ORM/query optimization, and data modeling. - Experience designing and consuming RESTful APIs, GraphQL, or event-driven architectures (Kafka, RabbitMQ, etc.). - Familiarity with cloud platforms (AWS, GCP, or Azure) — especially serverless, containers (Docker), and basic orchestration (Kubernetes or similar). - Working knowledge of AI integration concepts: LLMs, embeddings, vector search, RAG patterns, and basic prompt/tool-calling techniques. - Strong software engineering fundamentals: clean code, testing (unit/integration), CI/CD, Git, and agile methodologies. - Excellent problem-solving skills and the ability to break down complex AI-driven requirements into robust backend solutions. - Familiarity with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry) and security best practices (OAuth, JWT, API gateways). - Advanced English communication skills. Highly Preferred / Nice-to-Have - Direct experience building or contributing to RAG systems or agentic workflows (LangChain, LangGraph, LlamaIndex, Haystack, CrewAI, AutoGen, etc.). - Experience with function/tool calling, structured output parsing, and multi-step agent reasoning. - Knowledge of Java/Spring Boot. - Understanding of LLM cost/performance trade-offs and basic prompt engineering. - Bachelor’s degree in computer science, Engineering, or equivalent practical experience. Why Join Us? This is an exciting time to be a backend engineer. Traditional backend skills are still essential, but the ability to build production-grade AI systems (RAG + agents) is quickly becoming a core competency. You’ll work on cutting-edge AI features while applying timeless software engineering practices in a collaborative, high-impact environment. Our benefits package includes - Fully remote position - 4 weeks of vacation + 5 paid personal days annually - Group insurance programs as of your first day, including access to telemedicine and an EAP - Collective RRSP with matching contribution - Internet reimbursement Triton Digital is an equal opportunity employer committed to fostering a diverse, equitable, and inclusive workplace where all employees are respected, supported, and enabled to perform at their highest potential.

• Design, build, and maintain scalable RESTful/GraphQL APIs and microservices that power our AI chatbot and other backend systems. • Implement agentic AI systems using frameworks like LangChain/LangGraph (or equivalent): multi-agent orchestration, tool calling to external APIs, reasoning loops, memory, and state management. • Integrate with third-party LLM providers and handle prompt engineering, rate limiting, cost optimization, and fallback logic. • Develop and optimize RAG pipelines — including document ingestion, embedding generation, vector search/retrieval, and context-aware response generation. • Work with both traditional databases and modern vector databases. • Build and maintain reliable integrations with external services via APIs, webhooks, and event-driven patterns. • Ensure high availability, performance, security, observability, and scalability of all backend services (monitoring, logging, caching, async processing). • Write clean, testable, well-documented code and actively participate in code reviews, architecture discussions, and agile ceremonies. • Collaborate closely with other engineering teams and product stakeholders to deliver end-to-end features. • Develop, configure, and maintain cloud infrastructure on which the applications run. • Participate in 24/7 on-call rotation for team-owned projects.

• Build and maintain tools for developing and testing Java services and system packages on the JVM. • Further enrich and streamline the Java developer experience, including debugging, profiling, and code optimization utilities. • Collaborate with team members and engineers across the company to design elegant systems. • Creating and maintaining standards and libraries to facilitate robust communication between services. • Articulate a technical vision and execute it. • Learn from, and work closely with, more experienced engineers, sharing skills and knowledge as you grow in your role.