Apache ZooKeeper Experts in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who keep ZooKeeper coordination stable, design leader election and service discovery flows, and support Kafka or distributed system setups with clean operational runbooks. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Apache ZooKeeper
Uday Vanaparthy
Last position:
Full Stack JAVA Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
Serge Kalinin
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Bianca Schlüter
Last position:
Consultant OpenSearch at SHI GmbH
- Optimizing the online shop search function based on Magento and OpenSearch
- Advising on eliminating search pain points (composite search, case-insensitive search)
- Data modeling of products (parent) and items (child)
- Workshops to convey domain-specific search understanding
Jacqueline Haefke
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Hendrik Belitz
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Danijel Hrvaćanin
Last position:
Senior Engineering Manager at InstaMotion GmbH
- Led engineering strategy development and execution across multiple teams (Engineering, DevOps, SysAdmin, QA), defining quarterly OKRs and roadmaps to align with business objectives.
- Established comprehensive engineering excellence framework including coding standards, career progression paths, and critical operational policies.
- Successfully conducted technical due diligence during investment rounds, presenting technology infrastructure to potential investors.
- Developed and implemented key organizational policies including incident management, deployment guidelines, and security protocols.
- Streamlined recruitment process and managed performance reviews, resulting in improved team composition and capabilities.
- Architected and implemented full-stack solutions using TypeScript, Node.js backend and Next.js frontend with Styled Components.
- Designed and optimized serverless architecture utilizing AWS Lambda, Step Functions, State Machine, ECS, API Gateway, and multiple databases (DynamoDB, MongoDB, Postgres, MariaDB, OpenSearch).
- Implemented GraphQL for frontend requests and REST APIs for backend services, improving system connectivity and data flow.
- Established robust CI/CD pipelines using GitHub Actions and Jenkins, incorporating quality gates and security checks.
- Integrated SonarCloud for static code analysis, enhancing code quality across all repositories.
- Spearheaded infrastructure stability and security improvements while optimizing operational costs.
- Implemented automated testing framework using Jest for backend/frontend and Playwright for E2E testing.
- Created reusable tooling modules for logging, database connectivity, parameter store integration and reusable libraries.
- Designed and implemented microservices architecture using AWS ECS, documented with OpenAPI specifications.
- Enhanced creation and deployment processes through standardized templates and automated pipeline creation.
- Successfully delivered multiple projects on schedule while maintaining high quality standards and best practices.
- Conducted regular 1-on-1s and mentoring sessions, fostering team growth and professional development.
- Participated in cross-functional management meetings, ensuring alignment between technical initiatives and business goals.
- Identified and addressed knowledge gaps through targeted mentoring and training programs.
- Implemented atomic design principles for frontend development, improving component reusability and maintenance.
Anton Klonov
Last position:
Head of Technical Overall Integration NSC / Hadoop Cloud Development at IABG
Head of technical overall integration NSC (National Secure Cloud project with about 60 employees).
Technical integration of all subprojects into one product, definition of interfaces, basic components of a cloud including hardware, technical architecture of the IABG base.
Development of a Cloud Management Platform (CMP) that can create a private/mixed cloud of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management cycle.
As a foundation, it uses Kubernetes, OpenStack, and Hadoop.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are automatically configured.
The private cloud can run any customer workloads, including a full Hadoop stack with HDFS, Spark, MapReduce, Mesos, HBase and around 20 other ML/DL technologies.
Hadoop worker clusters can also be automatically installed on bare metal or commodity hardware without Kubernetes.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, database.
Technologies: Kubernetes (K3s, RKE2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3s), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Ioan Dobre
Last position:
Senior Software Developer at ING
- Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
- Analysis, design, development, and testing of new requirements for Optimmo, mortgage financing software.
- Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
- Analysis, design, development, and testing of the Wicket Optimmo application.
- Analysis, design, development, and testing of kredit-baufi batch programs.
- Migration of kredit-baufi batches to RHEL9.
- CiL SCS consumer pacts with Finagle.
- CiL SCS touch point architecture integration.
- Team size: 10.
- Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, GitLab, JIRA, Confluence, git, Spring 6.0, Spring Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, IntelliJ IDEA, Wicket 9 and 10, Istio.
Michal Budzyn
Last position:
Senior Golang Engineer at STACKIT / Schwarz Gruppe
- Responsible for software engineering and DevOps in the Data & AI Platform - Intake and PubSub projects at STACKIT, the cloud provider of the Schwarz Group.
- Technologies: Golang, Kubernetes, Kubernetes operators, OpenAPI v3, REST API, Azure DevOps, CI/CD, k6, Kafka, Strimzi, Apache Iceberg, RBAC, IAM, Terraform, Helm, Infrastructure automation, Load balancing, Traefik, ArgoCD, kuttl, Kyverno chainsaw, Kustomize, Velero, Prometheus, Grafana, Checkly / Playwright (TypeScript), NATS/Jetstream, WebSockets, gRPC, SSE
Kalyani Kumar
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Discover over 15,000 top freelancers
Statistics of experts using Apache ZooKeeper
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.4 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
88%
Doctorate
13%
Certifications per freelancer
2
Most common languages
English, German, Spanish
Speak two or more languages
90%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Apache ZooKeeper
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it does
Apache ZooKeeper is a coordination service for distributed systems. Teams use it to store configuration, manage cluster membership, choose leaders, and coordinate locks or naming across services. It often sits behind Kafka, Hadoop, and other systems that need shared state without brittle custom code.
Where it fits
- Cluster coordination and leader election
- Service discovery and configuration checks
- Distributed locks and locks for critical tasks
- Metadata storage for infrastructure components
- Operational support for Kafka and related stacks
Ecosystem
ZooKeeper is often paired with Kafka, Hadoop, HBase, and other distributed tools that depend on stable coordination. Strong experts know its node model, ACLs, watches, quorum behavior, and how to keep ensemble changes safe. They also understand how client libraries and deployment choices affect reliability.
When to bring in help
Companies usually look for freelance specialists when a cluster is unstable, a migration is risky, or an app depends on ZooKeeper but the team lacks deep operational knowledge. That is common in Germany as well, especially when systems run across mixed teams and on-site access is limited. Clear documentation and careful change control matter here.
What strong experts deliver
A strong professional does more than restart a service. They diagnose quorum issues, review configuration, tune storage and networking, and reduce the chance of split-brain or session loss. They also leave behind practical runbooks so internal teams can operate ZooKeeper with less guesswork.
How to judge fit
Look for hands-on work with ensembles, recovery, upgrades, and client behavior under failure. Ask how they handle watch storms, ACL design, backup and restore, and safe rollout plans. Good experts explain trade-offs in simple terms and focus on keeping coordination predictable.
Frequently asked questions
Before you brief your next project: the most common questions about Apache ZooKeeper.
Apache ZooKeeper is used to coordinate distributed services that need shared state and predictable behavior. It commonly handles configuration, leader election, naming, and distributed locks. In practice, it helps multiple components act like one system instead of many separate ones.
Many platforms already depend on ZooKeeper for coordination, so replacing it can add risk without solving the underlying problem. Teams keep it when the current stack works, when clients still expect it, or when a migration would touch many services at once. The main goal is usually stability, not novelty.
Apache ZooKeeper is often chosen for mature distributed systems with established coordination patterns. etcd is common in Kubernetes-related setups, while Consul is often used for service discovery and infrastructure tooling. The best choice depends on the existing stack, client support, and how much coordination logic the application already has.
A good ZooKeeper specialist usually knows Java ecosystems, Kafka operations, Linux, networking, and basic distributed systems concepts. Experience with quorum-based systems, TLS, ACLs, and careful upgrade planning is also valuable. If the work touches Kafka, they should understand broker coordination and failure handling too.
You do not need a large internal team to benefit from Apache ZooKeeper expertise. Freelance help makes sense as soon as the system is business-critical, poorly documented, or involved in a migration or outage review. The harder the coordination problem, the more useful a specialist becomes.
Yes, most ZooKeeper work can be done remotely because it centers on configuration, logs, client behavior, and safe change plans. On-site time is only needed when access rules, legacy infrastructure, or sensitive operations require it. In Germany, many teams combine remote analysis with short on-site sessions for rollout windows.
Ask for examples of ensemble recovery, client timeout debugging, and safe upgrade work on Apache ZooKeeper. Strong experts explain failure modes clearly and can describe how they reduced operational risk in past systems. They should also be comfortable with configuration review, monitoring gaps, and practical runbooks.
Frequent session expirations, unstable leadership, confusing ACL errors, and repeated manual interventions are all warning signs. If the team cannot explain why a node became unavailable, ZooKeeper expertise is likely needed. The same is true when a dependent system like Kafka keeps behaving unpredictably after configuration changes.
The average hourly rate of freelancers in Germany who have used Apache ZooKeeper in their recent projects is 96 €, which corresponds to a daily rate of about 766 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache ZooKeeper in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Germany who have used Apache ZooKeeper in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Apache ZooKeeper in their recent projects are English (100%), German (90%), and Spanish (30%).
The most common industries among freelancers in Germany who have used Apache ZooKeeper in their recent projects are Information Technology (100%), Banking and Finance (60%), and Retail (50%).
The most common business areas among freelancers in Germany who have used Apache ZooKeeper in their recent projects are Information Technology (100%), Product Development (90%), and Business Intelligence (70%).
Main locations of FRATCH Experts, who have recently used Apache ZooKeeper
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
