Job descriptionToronto, Hybrid
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 at scale. Nirmata is an AI powered Kubernetes governance platform.
About the Role We are looking for a
Senior or Staff-level Software Engineer
who has
demonstrated depth in building and operating real, production systems . This role is not about narrow specialization or feature-only delivery. You will be expected to
own complex backend systems , make architectural decisions with long-term impact, and take responsibility for systems that must perform reliably under real customer load.
You should bring
proven, hands‑on expertise in at least one core backend domain , and the judgment to apply that expertise pragmatically. At the same time, this is a
true full‑stack role : while the focus is backend, you must be comfortable contributing to the frontend when needed and collaborating across the stack to deliver complete, high‑quality solutions.
Important:
When applying, please clearly indicate which of the above areas you have deep, hands‑on experience with, and be prepared to discuss specific systems you have built, operated, or scaled in production — including Kafka, Java (Quarkus), Go, experience designing and scaling enterprise‑grade data platforms, microservice architectures, databases (relational, vector, document), and the monitoring, support, and debugging of high‑load systems.
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.
Qualifications
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.
This role requires in‑office presence 1–2 days per week in Toronto Downtown.
All application information will be kept confidential in accordance with EEO guidelines.
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