Senior Software Engineer

Position overview

Platform development

• Design and develop scalable REST, GraphQL, and event-driven APIs and microservices; build backend services in Go, Java, or Python.
• Develop full-stack capabilities, including React and micro-frontends, when needed to improve platform usability.
• Build distributed systems processing millions of records across batch and real-time pipelines, including Kafka and Flink streaming and ingestion systems.
• Develop control-plane services for orchestration, workflow management, and metadata-driven automation.
• Design self-service infrastructure abstractions for storage, compute, and workflow provisioning.

Reliability and automation

• Build highly available, fault-tolerant systems; define SLAs and SLIs, improve observability, and optimize performance and efficiency.
• Implement testing, CI/CD, and cloud-native practices; participate in on-call rotations and own services operationally.
• Replace manual processes with resilient automation, improve workflow scheduling and deployment pipelines, and reduce operational overhead.
• Use AI/LLMs and modern tools to accelerate engineering productivity.

Collaboration and technical leadership

• Partner with product managers, architects, data engineers, and ML teams to turn business needs into scalable systems.
• Contribute to architecture and technical strategy, mentor engineers, and raise standards through code reviews and design discussions.
• Promote engineering practices, documentation, and long-term maintainability.

Minimum qualifications

• Five or more years of professional software engineering experience building production systems.
• Strong programming skills in Go, Java, or Python; experience designing distributed systems or microservices.
• Experience with cloud platforms, with AWS preferred, and with building and consuming REST, GraphQL, or event-driven APIs.
• Strong understanding of CI/CD, containerization, and cloud-native infrastructure.
• Ability to learn new technologies quickly and apply them effectively.

Preferred qualifications

• Experience with Kafka or Flink; big data ecosystems such as Spark, Trino/Presto, Hive, or EMR; and data platforms, storage systems, or orchestration engines such as Airflow or Temporal is preferred.
• Familiarity with data modeling, schema design, large-scale data processing, observability, and monitoring is preferred.
• Experience building developer platforms or internal tooling is preferred.

Compensation

• For Canada-based roles, the stated starting base salary range is $107,000 to $157,300; offers depend on experience and geographic location and may exceed the range.
• The compensation package may also include annual cash bonuses, sales commissions where applicable, stock grants, and benefits.

Onboarding

• The role may require in-person onboarding and/or in-person identity verification.