Infrastructure Engineer (Kafka) ID82562

AgileEngine, LLC.; San Carlos de Bariloche; Hybride; ARS 181 747 000 - 272 620 000; Plein temps

Avantages offerts par ce poste

Professional growth

Pay in USD (USD-based pay)

Exciting projects

Flextime

Résumé du poste

AgileEngine, LLC. is seeking an experienced Infrastructure Engineer (Kafka) to own and operate a scalable Kafka estate behind an event-driven integration platform.

You will design topics, manage partitions, replication, retention, and consumer groups, while ensuring reliability and auditable event replay. The role emphasizes production Linux engineering, Python automation, and CI/CD ownership, with experience in containers, IaC, and observability.

Qualifications

• Deep, hands-on production Kafka experience (4+ years).
• Proficiency with event-driven delivery semantics, idempotency, and replay/recovery.
• Strong Linux engineering and Python scripting skills.
• CI/CD ownership, preferably Jenkins pipelines.
• Containers and container orchestration with Docker/Podman and Kubernetes.
• Infrastructure-as-code and configuration management experience.
• Observability tooling, metrics, logs, and SLOs.
• Familiarity with AI-assisted development and AI coding tools.
• Networking, TLS, secrets management, and OAuth2.
• Production operations mindset: incident response and capacity planning.

Responsabilités

• Own the Kafka estate, including topic design, partitioning, replication, and retention policies.
• Ensure platform resilience during upstream SaaS degradation and scale events.
• Enforce delivery guarantees: exactly-once/at-least-once, dead-letter topics, and replay tooling.
• Build and maintain streaming observability: lag, throughput, and end-to-end tracing.
• Plan capacity, cost, and retention for a durable, auditable log.
• Evaluate vendor streaming and change-data-capture integrations as the platform grows.
• Own and evolve the build/release pipeline with Jenkins and artifact distribution.
• Manage runtime estate: container deployments and OS modernization.
• Automate provisioning and keep inventory as a single source of truth.
• Collaborate with Python developers on performance and cost optimization.

Connaissances

Kafka

Python

CI/CD

Docker

Kubernetes

IaC

Observability

GenAI

OAuth2

Incident response

Linux

Networking

Outils

Jenkins

Description du poste

BARILOCHE, Argentina

AgileEngine is an Inc. 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.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.

MUST HAVES

• 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.
• Practical understanding of event-driven delivery semantics: at-least-once versus exactly-once, idempotency, ordering guarantees, dead-letter handling and replay.
• 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.
• Observability tooling: log aggregation, metrics, alerting and SLO definition.
• GenAI-assisted development — you actively use AI coding agents in your daily workflow, or are demonstrably keen to adopt them. We automate and build with these tools across the squad and expect everyone to be fluent in 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.

NICE TO HAVES

• 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.
• Package and artifact distribution at enterprise scale.
• Experience in a regulated environment — audit retention, data classification, formal build and operate governance.
• Kubernetes; multi-region and high-availability design.

WHAT YOU WILL DO

• 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.
• Engineer the platform's delivery guarantees in practice: at-least-once and exactly-once semantics, idempotent producers, transactional writes where warranted, dead-letter topics, and self-service replay tooling for recovering from downstream failures.
• Build streaming observability: consumer lag, queue depth, throughput and rebalance monitoring; end-to-end correlation-ID tracing across topics; dashboards, service level objectives and alerting.
• 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; participate in change management and production support.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.