Chapter Lead Platform Engineering

2 maanden geleden

Amsterdam, Nederland ING Voltijd

Our department is at the foundation of Reliability at ING. The purpose is to build a Global Observability Platform that enables ING services to run seamlessly and puts engineers in control of their systems.

Observability Platform Engineering ensures that the underlying systems are robust, scalable, and capable of supporting the extensive data collection and (near) real-time analysis required for observability. We are also responsible for developing and operating other capabilities such as on-call, sli/slo, availability reporting, Data & AI. We are a diverse team working from all over the world with a passion for engineering and great attention to non-functional requirements. Although we are a big team (80+ people) we stay lean and improve daily.

**Roles and responsibilities**

The engineers in your chapter are focusing our backend solutions allowing scalability, shift right, automation, standardisation and overall improving maturity.

As Chapter Lead (Engineering Manager) next to your role as HR manager, you will also contribute to one of our teams, therefore we are looking for a hands-on person. Specifically advising, architecting, implementing, and operating:

- Grafana backends, the foundation of our platform.
- Infrastructure-As-coded practices and tools.
- Driving resilience, performance, and security of these solutions.

**As a Chapter Lead/ Engineering Manager at Global Observability Engineering**:

- You contribute as Tech Lead/Individual Contributor to one of the backend products building new features, making them more scalable and increasing engineering excellence.
- You work with your peers to overcome challenges and, collectively, do a better job. You co-create the area vision, nurture innovation within it and effectively resource the squads working on our platform backends.
- You are the lead for performance management, training plans, remuneration and daily people management for your chapter. You ensure the tribe and squads have the right people and skills and develop the members of your chapter.
- You lead the chapter meet-up and ensure way of work-related information is shared and craftsmanship improved.
- You analyse market trends and derive the relevant and for the future necessary adjustments in the craftsmanship.

**Our Platform - MDPL**

**How to succeed**

We hire smart people like you for your potential. Our biggest expectation is that you will stay curious and keep learning. In return, we will back you to develop into an even more awesome version of yourself.

**Required skills and experiences**
- 5-8+ years of experience within platform engineering or infrastructure automation, preferably in FSI or enterprise scale orgs.
- Experience with running and operating Grafana backends: Mimir, Tempo, Loki.
- Experience running distributed platforms, strong preference for observability or data related multi node/containers solutions.
- Experience with CI/CD and containerisation - K8s or OpenShift, preferably certified KCAD/KCA.
- Experience using Infrastructure-as-Code including firsthand experience with tools such as Terraform, Ansible, Azure Pipelines, Bicep.
- Experience with cloud technologies, preferably Azure.
- Strong affinity with the fields we operate in: Observability, SRE, Monitoring, AIOps.
- Solid understanding of cloud platforms, system infrastructure, and platform operations.
- Solid understanding of Software Architecture and System Design at scale.
- Excellent team player in an international team, quality focused, service oriented, eager to learn.
- Experience within an agile organisation, and inspiration to continue working in this matter. Preferably coming from a role from: Tech Lead, Engineering Manager, IC, Staff Engineer.
- You can discuss with your stakeholders and product owner about features and stories and can translate these into genuine business value.
- Excellent oral and written English skills.

Our technology stack and practices include among others (but not limited to):

- Monitoring and Observability tools such as Grafana LGTM, Prometheus, Open Telemetry, Splunk.
- A diverse set of programming languages: Java, Python and Golang.
- We deploy on own infra and cloud.
- Capabilities for AIOps, data engineering and machine learning.
- Practices such as SRE, Chaos engineering.

**Rewards & benefits**

The benefits of working with us at ING include:

- Hybrid working mode (flexible working from home and office).
- A salary tailored to your qualities and experience.
- 24-27 vacation days depending on contract.
- Pension scheme.
- 13th month salary.
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary.
- 8% Holiday payment.
- Personal growth and challenging work with endless possibilities.
- An informal working environment with innovative colleagues.
- Work Agile, so latest ideas come to life faster.

**About ING

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