Coursera

Coursera

Senior Software Engineer, Applied AI & Customer Solutions

Toronto, Canada · Senior

Sponsorship not specified$137k-$172kDetected 6 days ago
TypeScriptPythonJavaPostgreSQLAWSCloud PlatformsDockerKubernetesCI/CDKafkaData EngineeringRAGAgentic AILangGraphCybersecurityComplianceHIPAACommunication

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odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Read more about the combined company by visiting our blog.
  • By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Responsibilities

  • Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments
  • Own CI/CD, observability, and production support for systems living inside customer environments
  • Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact
  • Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts

Requirements

  • 5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience
  • 1+ years of experience building production-grade agentic AI solutions
  • Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack
  • Strong experience with data engineering fundamentals - ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems
  • Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments
  • Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require

Nice to have

  • Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP
  • Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers
  • Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance
  • Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on
  • Directly influence what graduates from customer-facing custom solutions into Coursera's core product
  • Coursera offers competitive pay and fair compensation practices across all regions.
  • To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts.
  • We do not accept resumes via email or social media

Skills

  • Serve as the bridge between customer & core engineering team to harden validated prototypes into production deployments
  • Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after
  • AI is transforming how people learn, work, and grow, and the need for new skills has never been greater.

Compensation

  • Coursera offers competitive pay and fair compensation practices across all regions.
  • Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000.
  • Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location.
  • This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

Company info

  • Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast

Equal opportunity

  • Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace.

Visa & Work Authorization

  • Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on
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This listing is sourced directly from Coursera's careers page and normalized into a canonical job model.