Infrastructure Engineer (Kafka) ID82562

AgileEngine, LLC.; Porto; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation and

Exciting projects with Fortune 500 and

Flextime with remote and office

Job summary

AgileEngine is seeking an Infrastructure Engineer (Kafka) to own and operate the Kafka estate behind an event-driven platform. You will design topics, manage partitions, replication and retention, and ensure resilience during upstream outages.

You will implement at-least-once and exactly-once semantics, build streaming observability, plan capacity and cost, and evolve the build/release pipelines with Jenkins. Hybrid of automation and Ops mindset across global teams.

Qualifications

• Deep, hands-on production Kafka experience (4+ years).
• Event-driven delivery semantics including exactly-once vs at-least-once and idempotency.
• Strong enterprise Linux engineering and automation with Python scripting.
• CI/CD pipeline ownership, Jenkins declarative pipelines, release management.
• Containers and container orchestration (Docker/Podman, Kubernetes) with OCI images.
• Infrastructure-as-code and configuration management.
• Observability tooling for logs, metrics, alerting, and SLOs.
• GenAI-assisted development and daily use of AI coding tools.
• Networking, TLS, secrets management and OAuth2 authentication.
• Production operations mindset: incident response, capacity planning, change control.
• Strong written and verbal communication with a global team.

Responsibilities

• Own the Kafka estate: topic design, partitioning, replication, retention and offsets.
• Ensure platform resilience and availability during upstream SaaS degradation.
• Implement at-least-once and exactly-once semantics, idempotent producers and transactions.
• Build streaming observability: lag, throughput, tracing, dashboards and alerts.
• Plan capacity, cost, and retention for durable logs with audit-retention.
• Evaluate vendor-native streaming and CDC mechanisms as the platform matures.
• Own and evolve the build/release pipeline with Jenkins for multiple Linux generations.
• Operate containerized deployments, gateway hosts, and OS modernization.
• Automate environment provisioning and maintain a single source of truth for config/assets.
• Collaborate with Python developers on deployability, performance and cost.

Skills

Kafka experience

Linux engineering

Python scripting

CI/CD pipelines

Docker/Podman

OCI images

Kubernetes

Infrastructure-as-code

Observability

AI tooling

Networking & security

Ops mindset

Communication

Tools

Jenkins pipelines

Docker/Podman

OCI images

Kubernetes

Job description

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.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.