Software Developer/Cloud Engineer, Telemetry and Observability Platform

Job Description

Software Developer/Cloud Engineer, Telemetry and Observability Platform

-Hybrid work (4 days on-site/1 day remote work) in Ottawa 

-1-year contract (with extension possibility)

Our client is looking for a Software Developer to support the design, development, testing, and deployment of their Telemetry and Observability Platform, an enterprise platform that pulls together telemetry, diagnostic information, engineering artifacts, manufacturing evidence, service data, and software lifecycle signals to deliver actionable diagnostic and software health insights.

You'll work within a cross-functional Agile team building cloud-native services, data integrations, user-facing capabilities, and platform observability, taking technical direction from senior engineers and architects while progressively owning well-defined platform components and features.

Responsibilities

-Design, develop, test, and maintain platform components under the guidance of senior engineers

-Build and integrate REST APIs, backend services, data-processing functions, and event-driven workflows

-Develop integrations with approved vehicle, service, engineering, manufacturing, and software-factory data sources

-Support the ingestion, normalization, validation, storage, and retrieval of telemetry and diagnostic information

-Contribute to web-based interfaces and dashboards presenting diagnostic, operational, AI-performance, and platform-health information

-Implement logging, metrics, distributed tracing, error handling, and health checks for platform services

-Write unit, integration, API, and automated regression tests

-Participate in code reviews and address feedback related to maintainability, performance, security, and coding standards

-Support CI/CD pipelines, containerized deployments, configuration management, and cloud environment troubleshooting

-Assist with integrating AI services through governed APIs and standardized interface contracts

-Implement role-based access controls and follow enterprise security, privacy, data-retention, and auditability requirements

-Create and maintain technical documentation, including API specifications, deployment instructions, support procedures, and design notes

-Participate in backlog refinement, estimation, sprint planning, demonstrations, and retrospectives

-Investigate defects and operational issues using logs, metrics, traces, and other platform evidence

-Identify technical risks, dependencies, and blockers and communicate them promptly to the delivery team

Required qualifications

-Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience

-Approximately 7+ years of software development experience

-Programming experience in one or more relevant languages, such as Python, Java, JavaScript, or TypeScript

-Experience developing or consuming REST APIs and working with structured data formats such as JSON

-Understanding of object-oriented programming, software design principles, and common application architecture patterns

-Experience with relational databases, SQL, and basic data modeling

-Experience using Git-based source control and participating in peer code reviews

-Familiarity with automated unit and integration testing

-Basic understanding of cloud computing, containerization, and CI/CD practices

-Ability to diagnose software issues using application logs and debugging tools

-Strong written and verbal communication skills

-Ability to work collaboratively with product owners, architects, engineers, data specialists, testers, and operations teams

Nice to have

-Experience with Google Cloud Platform services such as Google Kubernetes Engine, Pub/Sub, Cloud Storage, or Cloud SQL

-Experience with Docker, Kubernetes, Terraform, or similar cloud-native technologies

-Experience developing frontend applications using React and TypeScript

-Familiarity with event-driven architecture, asynchronous processing, and data pipelines

-Experience implementing platform observability using logs, metrics, traces, dashboards, and alerting

-Familiarity with OpenTelemetry or comparable observability standards and tooling

-Experience with API specifications and tools such as OpenAPI or Swagger

-Familiarity with authentication, authorization, role-based access control, and secure coding practices

-Experience integrating AI or machine-learning services through APIs

-Familiarity with prompt management, AI response validation, confidence scoring, or human-feedback capture

-Experience working with telemetry, diagnostics, manufacturing information, or engineering lifecycle systems

-General knowledge of diagnostic concepts such as DTCs, CAN, UDS, or DoIP

-Experience working in an Agile or Scrum delivery model

-Experience with data modeling and data science

-Understanding of agentic AI workflows, data pipeline build and processing, AI evaluation strategies using RAGAS, RAG and vectorization concepts, and LLM orchestration

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.