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Software Engineer, Cloud Engineer - Software, Backend Developer

Job in Toronto, Ontario, C6A, Canada
Listing for: jobr.pro
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer

Full Time Senior Staff Software Engineer in healthcare at Nirmata in Toronto or Bangalore, Hybrid. Apply directly through the link below.

At a glance:
  • Work mode:
    Hybrid
  • Employment:
    Full Time
  • Location:

    Toronto or Bangalore, Hybrid
  • Experience:

    Senior
    · 10+ years
  • Education:

    Master's degree or equivalent
Core stack:

Cross-functional, Computer Science, Design Patterns, Google Cloud, Architecture, Spring Boot, Open Source, Performance, Distributed, Forecasting, Kubernetes, Innovation, Compliance, Web Socket, Rabbit

MQ, Feedback, Security, Graph

QL, Datadog, Swagger, OpenAPI, Golang, Azure, Redis, Kafka, Spark, Java, REST, gRPC, AWS

What are the qualifications?

Bachelor's or Master's degree in Computer Science or a related field.

What skills are required?

Cross-functional, Computer Science, Design Patterns, Google Cloud, Architecture, Spring Boot, Open Source, Performance, Distributed, Forecasting, and more.

At Nirmata, our mission is to accelerate adoption of cloud native technologies for enterprises. We believe that software can radically transform the world and are building a solution to help enterprises deliver and operate mission critical software mata is an AI powered Kubernetes governance platform.

About the Role:

Nirmata is seeking a highly skilled and motivated Staff Software Engineer to join our team and work on the Nirmata Policy Management cloud solution. As a Staff Software Engineer, you will play a pivotal role leading projects, designing, and developing the SaaS backend components, specifically focusing on the data path components.

If you are passionate about software technologies, have a strong background in Java or Golang, and have a track record of working on innovative, large-scale systems handling substantial volumes of data and events, we invite you to apply.

Responsibilities:
  • Collaborate with a team of engineers and product managers, while taking ownership of key areas of the Nirmata AI Platform from design to delivery.
  • Make meaningful contributions at the requirements, architecture, and design levels, and take responsibility for ensuring the platform can scale with the growth of our customer base.
  • Help define and drive the architecture and implementation of the data processing subsystems, ensuring it aligns with technical and business goals for the next two to five years.
  • Play a key role in the design and implementation of AI/ML features, from initial concept through production readiness.
  • Work closely with cross-functional teams to integrate features effectively and optimize system performance with a long-term perspective.
  • Participate in code reviews and take accountability for code quality, offering thoughtful, constructive feedback and upholding high standards.
  • Stay informed about the latest developments in software technologies, and bring forward ideas and improvements that drive product and team success.
Qualifications:
  • Bachelor's or Master's degree in Computer Science or a related field.
  • 10+ years of professional experience in software development.
  • 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 (Open Api/Swagger, Rest, Graph

    QL, gRPC, Web Socket)
  • Experience with Kubernetes and container technologies.
  • Proven experience in developing SaaS backend solutions based on micro services architecture in public clouds (AWS, Azure, GCP)
  • Worked for a startup or similar environment handling large volumes of data and events (Datadog, New Relic, Splunk, Sysdig, …)
  • Familiarity with several frameworks or Cloud services used in large scale distributed systems such as Kafka, Flink, Rabbit

    MQ, Redis, Spark, Amazon Kinesis, Google Cloud Dataflow, Azure Event Hub
  • Prior experience using AI/ML technologies (LLM, SML, RAG, Prompt Engineering, …)
  • Contribution to Open Source projects is a plus, showcasing your engagement with the developer community.
Benefits:

Comprehensive health coverage including medical, dental, and vision;
Equity awards;
Flexible time off.

ABOUT…
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