Descripción de la oferta
5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
ABOUT THE ROLE We are looking for a Infrastructure Engineer (Kafka) to own and operate the Kafka estate behind an event-driven integration platform, including its build, deployment, and monitoring infrastructure.
Deep, hands-on production Kafka experience of at least 4+ years — this is the central requirement. Topic and partition design, consumer group mechanics, retention and compaction, replication, performance tuning, and troubleshooting lag, rebalances and delivery failures under load.
Strong enterprise Linux engineering and automation — shell plus Python scripting .
CI/CD pipeline ownership , ideally Jenkins declarative pipelines, with real artifact and release management experience.
Containers — Docker or Podman, OCI images — and container orchestration platforms.
Infrastructure-as-code and configuration management.
GenAI-assisted development — you actively use AI coding agents in your daily workflow, or are demonstrably keen to adopt them. Networking, TLS, secrets management and enterprise authentication (OAuth2).
A production operations mindset: incident response, capacity planning and change control.
Strong written and verbal communication, working with a global team.
Kafka ecosystem depth: Kafka Connect, Schema Registry, Kafka Streams, MirrorMaker, or managed Kafka services.
Change-data-capture patterns and tooling.
Infrastructure supporting large commercial SaaS platforms, including integration gateway or connector servers.
Experience in a regulated environment — audit retention, data classification, formal build and operate governance.
Kubernetes; Own the Kafka estate — topic design and naming standards, partitioning and keying strategy, replication, retention and compaction policy, consumer group and offset management, quotas, and broker configuration and upgrades.
Ensure platform resilience and reliability — keep the integration platform available when the upstream vendor SaaS platform is degraded or unavailable, absorb traffic spikes without overloading it, and ensure events remain replayable and auditable through a correctly sized, configured and operated Kafka infrastructure.
Build streaming observability: consumer lag, queue depth, throughput and rebalance monitoring; Plan capacity, cost and retention for a durable log with regulatory audit retention requirements, and tune it as adoption scales across the firm.
Evaluate and integrate vendor-native streaming and change-data-capture mechanisms as the platform's ingress and egress paths mature.
Own and evolve the build and release pipeline — automated Jenkins pipelines producing packaged application installs for multiple enterprise Linux generations, signed container images, and generated documentation, promoted through internal artifact and image distribution services.
Operate the runtime estate: containerised deployments, integration gateway hosts, and the ongoing operating-system modernisation of that estate.
Engineer the infrastructure behind the platform's resilience and continuity — health detection, circuit breaking, and the reconciliation and monitoring that prove the platform recovers cleanly when the upstream vendor platform is degraded or unavailable.
Automate environment provisioning and configuration, and keep the configuration and asset inventory a genuine single source of truth.
Partner with the squad's Python developers on deployability, performance and cost; USD-based pay with education, fitness, and team activity budgets.
Exciting projects : Flexible schedule with remote and office options.
If it’s a match, you’ll receive an offer.
#
