Job Description

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Shape the utilities market of the future with us!

We are looking for a highly experienced

Senior DevOps Engineer

to lead the installation, automation, and operational reliability of a modern

open-source data and integration platform

. The platform underpins business-critical data pipelines and integrations built on technologies such as Apache Airflow, Apache NiFi, Apache Spark, Kafka, PostgreSQL, MQTT brokers, Docker, and Kubernetes.

This is a hands-on, senior individual contributor role with ownership across

infrastructure, reliability, security, automation, and operational excellence

, supporting deployments on both

private and public cloud environments

.

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What is the role about?

Key Responsibilities

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Platform Installation, Configuration & Operations

Install, configure, upgrade, and maintain distributed open-source components including: + Apache Airflow, Apache NiFi, Apache Spark
+ Apache Kafka and its ecosystem
+ PostgreSQL
+ MQTT brokers
Ensure platform stability, scalability, high availability, and fault tolerance. Perform capacity planning, performance tuning, and lifecycle management of all components.

Containerization & Orchestration

Design, deploy, and operate containerized workloads using

Docker

. Build and manage

production-grade Kubernetes clusters

. Implement Kubernetes best practices for networking, storage, scaling, and security. Package and manage platform services using

Helm

or equivalent tooling.

Infrastructure as Code & Automation

Design and maintain

Infrastructure as Code (IaC)

using

Terraform

for cloud and on-prem environments. Build configuration management and automation workflows using

Ansible

. Enable repeatable, environment-agnostic deployments across development, staging, and production. Automate provisioning, configuration, upgrades, scaling, and recovery processes.

Cloud, Hybrid & Private Infrastructure

Deploy and operate workloads on

public cloud platforms (AWS, Azure, GCP)

and

private/on-prem infrastructure

. Design hybrid architectures with secure connectivity between environments. Optimize infrastructure design for resilience, performance, and cost efficiency.

Observability, Reliability & Incident Management

Design and implement comprehensive

monitoring, logging, and alerting

for infrastructure and applications. Define, measure, and maintain

SLAs, SLIs, and SLOs

for critical platform services. Own

incident response

, root cause analysis, and post-incident reviews. Proactively identify risks, bottlenecks, and failure modes before they impact users.

Security & Secrets Management

Implement infrastructure and platform security best practices across containers, Kubernetes, and networks. Manage

secrets and credentials

using tools such as Vault, Kubernetes Secrets, or cloud-native solutions. Own

certificate lifecycle management

, including rotation and renewal. Design and enforce network security controls, access policies, and

zero-trust principles

where applicable. Support compliance with internal security and governance requirements.

Backup, Disaster Recovery & Data Protection

Design and implement

automated backup strategies

for Kafka, PostgreSQL, and other stateful services. Own

disaster recovery planning and testing

, including restore validation. Support

multi-cluster or cross-region strategies

where required. Ensure data durability, integrity, and recoverability.

Cost & Resource Optimization

Implement infrastructure

cost monitoring and visibility

across environments. Right-size clusters, storage, and compute resources to balance performance and cost. Continuously optimize resource usage for cloud and hybrid deployments.

CI/CD & Release Engineering

Build and maintain CI/CD pipelines for platform and infrastructure components. Enable safe deployment strategies such as rolling, blue-green, or canary deployments. Support Git-based workflows and infrastructure promotion across environments.

Documentation, Enablement & Collaboration

Create and maintain

operational documentation, runbooks, and architectural diagrams

. Enable self-service capabilities for engineering teams wherever possible. Work closely with data engineers, backend engineers, and architects to support platform needs. Reduce operational friction through automation, standardization, and tooling improvements.
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Required skills and qualifications

5+ years of hands-on experience

in DevOps, Platform Engineering, or Site Reliability Engineering. Strong experience operating

distributed, open-source systems in production

. Proven expertise with: + Docker and Kubernetes
+ Terraform and Ansible
+ Linux systems and networking fundamentals
Hands-on experience with Kafka, Spark, Airflow, NiFi, PostgreSQL, and messaging systems (including MQTT). Experience supporting

business-critical platforms with uptime and reliability requirements

. Strong scripting skills (Bash, Python, or equivalent). Excellent troubleshooting and systems-level problem-solving skills.
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Preferred skills and qualifications

Experience with GitOps tools such as ArgoCD or Flux. Experience with observability stacks (Prometheus, Grafana, ELK/OpenSearch). Familiarity with service meshes, ingress controllers, and API gateways. Experience operating data-intensive or streaming platforms at scale. Prior experience in hybrid or on-prem-first environments.
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About us

Cuculus is the key to providing utilities to all, while protecting the world's precious resources. Jointly with our international partner network, we provide cutting-edge software and technology solutions to address utility challenges now and in the future. Cuculus will never tire of creating innovative technology and services that enable utilities and organisations to successfully transition to a new era of providing and managing electricity, water, and gas. The work we do is important for individuals, cities, and entire nations. Our work is serious, but we have fun with it, too.