Platform Architect designing and evolving Audi RED’s internal cloud platform and DevOps practices. Focusing on scalable, secure, and observable systems on AWS for enhanced digital experiences.
About the role
- Senior Software Engineer focusing on backend systems and cloud native technologies at Nirmata. Leading architecture decisions and AI/ML integration in space-critical applications.
Responsibilities
- Define, own, and evolve the architecture of core data-heavy subsystems, balancing scalability, reliability, and cost, with a 2–5 year technical horizon aligned to business goals.
- Take end-to-end ownership of critical areas of the Nirmata Policy Management cloud platform, from technical design and implementation through deployment and operational maturity.
- Lead the design and delivery of AI/ML-powered features, translating ambiguous product ideas into production-ready systems with clear performance, reliability, and cost constraints.
- Partner closely with Product, Platform, and Customer-facing teams to ensure features are well-integrated, observable, and optimized for long-term maintainability—not just short-term delivery.
- Set a high engineering bar through hands-on code reviews, architectural guidance, and direct accountability for code quality, security, and operational readiness.
- Proactively identify technical gaps and opportunities, introduce new technologies or patterns where they add real value, and lead technical learning across the team by example.
Requirements
- Bachelor's or Master's degree in Computer Science or a related field.
- 3 to 10 years of professional experience in software development.
- Strong proficiency in either Java or Golang is required; experience with both is a strong plus.
- Experience with modern frameworks such as Quarkus, Spring Boot, or equivalent in Golang is highly desirable.
- Strong knowledge of object-oriented design principles and software design patterns.
- Proficient in defining API specifications (OpenApi/Swagger, Rest, GraphQL, gRPC, WebSocket)
- Experience with Kubernetes and container technologies
- Proven experience in developing SaaS backend solutions based on micro services architecture in public clouds (aws, Azure, GCP)
- Familiarity with several frameworks or Cloud services used in large scale distributed systems such as Kafka, Flink, RabbitMQ, Redis, Spark, Amazon Kinesis, Google Cloud Dataflow, Azure Event Hub
- Prior experience using AI/ML technologies (LLM, SML, RAG, Prompt Engineering, …)
- Contribution to OpenSource projects is a plus, showcasing your engagement with the developer community.
- This is a hybrid role for applicants based in the Toronto area. Unfortunately we are unable to sponsor work visas for this role at this time.
Benefits
- Flexible time off
- Comprehensive health coverage including medical, dental, and vision
- Equity awards
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