Senior Data Platform Engineer
Etraveli Group
About Tripstack
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.
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The role
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. You will own the data end to end on the data applications Druid, Spark, Redpanda, Airflow, PostgreSQL, and Elasticsearch.
This is not a machine learning 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.
Responsibilities
Lead the data-stack migration
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 .
Operate the data platform
Own the operational health of our production data systems, including Druid, Spark, Redpanda, Airflow, PostgreSQL, and Elasticsearch. You'll handle segment lifecycle, JVM tuning, ingestion specs, broker/coordinator/overlord internals, partition design, consumer lag, and 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.
Raise the bar on observability and reliability
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, while owning the data applications themselves end to end.
Requirements
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.
Strong differentiators
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.
Additional Experience That Would Be Considered An Asset
OpenStack familiarity - Neutron networking, Cinder/Ceph storage
Delta Lake or Apache Iceberg experience and architectural judgement about when to introduce a table format
Change Data Capture patterns, especially PostgreSQL-to-Druid streaming
Security and secrets management in K8s - Vault, network policies, encryption at rest
Exposure to travel, flights, or large-scale search and cache systems
Experience with experimentation platforms (e.g. Growthbook, internal A/B frameworks)
Benefits
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 #LI-Hybrid #LI-CM1