Sr. Data Platform Engineer
Tripstack · Toronto, CA ·
- Work mode
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Category
- Data engineering
- Experience
- 7+ years
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Founded in Toronto, Canada in 2016, Tripstack has been part of Etraveli Group since 2019. It is a B2B Flights as a Service provider and a world leader in virtual interlining.
Operating from offices in Canada, India, and Poland, Tripstack is the gateway into Etraveli Group’s world leading tech platform - giving partners access to global flight content, virtual interlining, and a full suite of services including payments, fraud prevention, pricing, and customer support. As a world leader in virtual interlining technology, Tripstack connects non-partner, low-cost and full-service carriers, enabling the creation of unique and flexible itineraries through a simple, cost-effective API.
Its technology ingest over 30B price points and handles over 240 million searches daily.
Through partnerships with airlines, OTAs, and other distribution channels across the globe, Tripstack expands networks, drives new revenue streams, and offers more choice at competitive prices, all backed by robust technology and traveler protection.
For more information, visit:
We're hiring for this role in Kraków, Poland or Toronto, Canada. It's a hybrid position, with two days a week in office at the hiring location.
Tripstack is moving its entire data stack from bare-metal VMs to Kubernetes on OpenStack in a new data centre. We are looking for a senior infrastructure engineer who has done stateful migrations before, who can plan, codify, and execute this one safely, and who will own the day-to-day operational health of the data platform once we are there.
This is a hands-on platform and SRE role with a clear, time-bounded mission. You will partner closely with our SRE team on networking, hardware, and Kubernetes fundamentals, and own the data applications — Druid, Spark, Redpanda, Airflow, PostgreSQL, Elasticsearch — end-to-end.
It is not an ML role. We have a separate plan for evolving our MLFlow platform, and the right hire here may grow into more of that work over time, but day-one impact is the migration and the operational health of the platform.
Plan and execute the migration of Druid, Spark, Redpanda, and our orchestration layer from bare-metal VMs to Kubernetes on OpenStack, with no downtime on stateful workloads.
Design StatefulSet, PVC, pod-disruption-budget, and rolling-upgrade patterns that are safe for production data systems.
Codify the migration with Infrastructure as Code — Terraform for OpenStack, Helm or Kustomize for Kubernetes, GitOps via ArgoCD or Flux — so the result is reproducible and supportable by the whole team.
Own the operational health of Druid, Spark, Redpanda, Airflow, PostgreSQL, and Elasticsearch as production systems — segment lifecycle, JVM tuning, ingestion specs, broker/coordinator/overlord internals, partition design, consumer lag, replication tuning.
Build the KPIs, alerting, dashboards, and runbooks that let us see cluster exhaustion before it becomes an incident, and diagnose it quickly when it does.
Own the query, report, segment, and tiering optimisations that keep our analytics cost-effective and responsive under load.
Build the Prometheus, Grafana, and distributed-tracing coverage our data systems need. Treat SLOs, error budgets, and post-incident discipline as table stakes.
Partner with SRE on hardware, networking, and Kubernetes fundamentals — but own the data applications themselves end-to-end.
Strong Kubernetes experience with stateful workloads — StatefulSets, PVCs, pod disruption budgets, and rolling upgrades for data systems. You have done a real stateful migration before and can talk through what went wrong.
Infrastructure as Code at a senior level — Terraform, Helm or Kustomize, GitOps with ArgoCD or Flux. You have shipped production infrastructure this way, not just experimented with it.
Observability and RCA discipline — Prometheus, Grafana, distributed tracing, SLOs, error budgets, and the habit of writing the runbook that stops the next incident.
Production operations experience with at least one of Apache Druid, Apache Kafka or Redpanda, Apache Spark, or Elasticsearch — deep enough to be credible on internals and willing to learn the others.
7+ years building and operating production data or platform systems, at least 2 of them on self-hosted or bare-metal infrastructure. You have been on-call for what you built.
Clear written and verbal English; comfortable working across Kraków, Toronto, Pune, and Stockholm time zones.
Deep Apache Druid production operations — segment lifecycle, JVM tuning, ingestion spec authoring, and RCA on broker/coordinator-class failures.
Apache Spark at scale — DAG execution, shuffle optimisation, memory tuning, Spark-on-Kubernetes.
OpenStack familiarity — Neutron networking, Cinder/Ceph storage.
Fluency with agentic coding tools (Claude Code, Gemini, or equivalent) as a real part of your workflow — including the judgement to know when not to trust an AI-generated config for a production data system.
Python that is production-grade, plus working knowledge of at least one JVM or Go-family language so you can integrate with our services directly.
Security and secrets management in Kubernetes — Vault, network policies, encryption at rest.
Change Data Capture patterns, especially PostgreSQL-to-Druid streaming.
Delta Lake or Apache Iceberg experience and architectural judgement about when to introduce a table format.
Exposure to travel, flights, or large-scale search and cache systems.
Interest in growing into ownership of our MLFlow-based ML platform over time. We have a separate plan for that work, but a curious operator is welcome.
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, or other benefits.
We use AI in our hiring process.
We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team!
At Tripstack, we proudly believe in embracing diversity. This is true for our team, clients, communities and stakeholders. We are an equal opportunity employer and committed to creating a safe, healthy and accessible environment. We encourage applications regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other grounds protected by law. Please let us know if you need any accommodations during any part of the recruitment process.
Tripstack thanks all applicants for their interest, however only those selected to continue in the process will be contacted.
Learn more about us at
#tripstack
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