TravelAI Solutions Inc. Logo

TravelAI Solutions Inc.

Senior Backend / Platform Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Lead ownership, harden, and operate an AWS-native backend/platform: build APIs, event pipelines, data services, compliance features (audit logging, encryption, data lifecycle), deployment automation, testing/acceptance tooling, and shape architecture and engineering hiring.
The summary above was generated by AI

Senior Backend / Platform Engineer

Remote | Canada | Full-time 

About TravelAI

TravelAI is The Travel Memory Company. We build AI-powered travel products and infrastructure designed to make travel more efficient, more personalized, and more trustworthy. Our work sits at the intersection of AI, enterprise software, and travel, with a focus on helping the industry move forward in practical, responsible ways. We believe that through travel, the world becomes a better place.

We are launching a new AI-native platform initiative and are hiring the first core engineers for it.

About the role

We are building a governed memory platform that gives travel businesses (OTAs, TMCs, and enterprise travel programs) auditable, privacy-first AI personalization, designed for the demands of GDPR and the EU AI Act.

The initial build phase is being delivered with an external engineering partner. We are hiring two senior engineers to take ownership of the platform: you will work alongside the partner team for roughly your first month in a structured handover, then own the build going forward as part of a small, senior founding team working with our AI-first product organization.

You will not be stepping into a mature codebase with a fixed org chart around it. You will take over an early-stage platform, harden it, and help create the engineering culture around it.

What you'll do

  • Take ownership of a modern, AWS-native platform from an external partner and drive it forward
  • Design, build, and operate core backend services: APIs, event processing pipelines, and data services
  • Build compliance-grade capabilities into the platform: audit logging, encryption and key management, consent and data lifecycle handling
  • Own deployment automation across multiple environments, including deployments into customer AWS accounts
  • Build the testing and acceptance tooling that gates releases
  • Work closely with the Director and Product Lead to turn product requirements into buildable, governed systems
  • Help shape engineering standards, architecture, and early hiring as the team grows

Our stack

AWS-native: Aurora PostgreSQL, ECS Fargate, Lambda, API Gateway, Kinesis, ElastiCache (Redis), S3, KMS, Terraform. Services written primarily in Python and TypeScript/Node.

What we're looking for

  • 7+ years building production backend systems, with significant AWS experience
  • Experience building and shipping enterprise software, platform products, infrastructure products, or technically complex B2B systems
  • Deep experience with event-driven architectures and relational data modelling (PostgreSQL; JSONB-heavy designs a plus)
  • Ownership of infrastructure as code (Terraform or similar) and multi-environment deployment automation
  • Comfort in compliance-sensitive domains: key management, audit logging, data retention and erasure
  • A track record of taking over, hardening, and operating systems you did not originally write
  • Senior-level ownership: you scope, build, test, deploy, and run your own services
  • Strong judgment, clear communication, and comfort operating with ambiguity
  • Practical, AI-native ways of working. You use AI tools and coding agents to improve how you design, build, test, and debug. If you come pre-equipped with your own suite of AI agents, please tell us more.

Especially valuable

  • Experience with enterprise AI, governance, compliance, trust, privacy, observability, or control-plane style products
  • Experience with identity, consent, or authorization systems
  • Multi-tenant SaaS plus single-tenant deployments in customer cloud accounts
  • Ex-AWS experience, or deep experience building on AWS at scale
  • Travel industry experience, especially in OTA, TMC, hotel tech, travel infrastructure, or large travel platforms

Why this role is different

This is a rare opportunity to be one of the first engineers on a new AI-centric platform initiative inside an established and profitable travel technology company. You will have meaningful architectural influence, direct ownership of systems that customers will audit and regulators will scrutinise, and a real say in how the platform and the team come to life.

Location

Canada-based, fully remote. We are open on time zones as long as the candidate is based in Canada.

Compensation

  • Competitive Canada-based salary in the range of C$180,000 to C$200,000 CAD
  • Bonus potential
  • Health and dental benefits
  • Fully remote within Canada
  • Canadian work authorization required

How to apply

Please send us your résumé or LinkedIn profile, along with a thoughtful introduction that helps us understand why this role is a strong fit for you. Tell us what specifically caught your attention, what excites you about the opportunity, and which parts of your experience would allow you to make a meaningful contribution. We are not looking for a generic cover letter. We want to hear your perspective, understand what motivates you, and see the effort and curiosity you would bring to the role.

If you have worked on AI platforms, governance, compliance-grade infrastructure, travel technology, or other technically complex systems, we would especially like to hear from you.


 

Similar Jobs

13 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.
Top Skills: Agentic Data ToolsBigQueryBuildkiteCi/CdDatabricksDockerGithub ActionsLlmsOauthOidcPythonRbacRest ApisSecrets ManagementSemantic LayerSnowflakeSQLWebhooks
22 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.
Top Skills: Gitlab McpGraphQLPythonRestRspecRuby On RailsVue
Yesterday
Remote
Canada
Senior level
Senior level
Information Technology • Software • Travel • Generative AI • Infrastructure as a Service (IaaS) • Big Data Analytics
Lead client-facing integrations and implementations for an AI-native, compliance-focused travel platform. Design, build, and operate backend services, event pipelines, and data services on AWS. Ensure auditability, encryption/key management, consent and data lifecycle handling, and translate client feedback into product improvements while shaping architecture and early hiring.
Top Skills: Api GatewayAurora PostgresqlAWSEcs FargateElasticache (Redis)JsonbKinesisKmsLambdaNode.jsPostgresPythonRedisS3TerraformTypescript

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account