
HashiCorp Packer Experts in Germany
, matched with vetted and available freelancers in minutesHire experts who create repeatable machine images, connect Packer with Terraform and cloud providers, and automate secure release workflows. Find precisely matched, vetted and available freelancers quickly for infrastructure projects in Germany.
Meet FRATCH Experts in Germany, who have recently used HashiCorp Packer
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
Ales L.
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Marc H.
Last position:
Senior Architect, Coach and Developer
Fixing issues in the program logic
Covering the changes with unit tests
Analyzing and documenting the data structure of the various applications
Analyzing and documenting the parameters for configuring the applications
Analyzing and documenting the measures required to ensure the operation of the applications
Analyzing and designing the separation of the individual database structures
Analyzing and estimating the effort for planned extensions
Analyzing, maintaining and documenting a heterogeneous legacy system landscape for a print media service provider
Technology: C#, VB.NET, C, Python, Microsoft SQL Server, Visual Studio 2010, JetBrains Rider, Visual Studio Code, arc42, Draw.io, Jira, GitLab
Tobias N.
Last position:
Enterprise & Solutions Architect
- Building an independent enterprise IT setup — cloud strategy, network, AWS landing zone, security requirements, contract negotiations.
- Migration of all applications; avoiding high contractual penalties for the client.
- Onboarding and coordination o...
Christian K.
Last position:
Senior AWS Cloud Engineer at Sopra Financial Technology GmbH
- Setup and operation of a multi-cluster AWS EKS platform for banking workloads with a unified network and security architecture across 45 AWS accounts.
- Developed and standardized a unified AWS network and security architecture for 45 AWS accounts, enabling consistent governance, connectivity, and compliance for enterprise customer environments.
- Developed and operated a multi-cluster AWS EKS platform to support production workloads, significantly improving scalability, availability, and operational reliability.
- Implemented a GitOps deployment model using ArgoCD and Helm, enabling fully automated, auditable deployments and reducing manual release errors.
- Automated infrastructure provisioning using Terraform and Terragrunt at scale, reducing environment setup time by up to 70% and eliminating configuration drift.
- Established enterprise-grade backup and disaster recovery strategies using Velero and AWS Backup, ensuring reliable multi-cluster recovery and business continuity.
- Introduced Rancher as a self-service Kubernetes platform, accelerating developer onboarding while maintaining centralized security and governance.
- Designed and implemented detailed AWS IAM concepts (roles, policies, trust relationships) to enforce the principle of least privilege for access to accounts, workloads, and CI/CD pipelines.
- Developed AWS Lambda-based pre-provisioning workflows for databases, automating initialization, configuration, and access setup to support secure and consistent application integration.
- Delivered consistent, high-quality results as part of a 5-person AWS Solutions Architecture team, resulting in three consecutive contract renewals.
Arne H.
Last position:
Embedded Fullstack Developer at IoT / Infrastructure Automation Sector
- Analysis of legacy codebase and identification of architectural issues, implementing improvements in coordination with the Product Owner.
- Development of clean, efficient, and fully documented code following established software engineering practices and standards.
- Analysis of Erlang components in backend and device layers to provide recommendations for ensuring stable system operation.
- Setup and optimization of CI/CD pipelines on client infrastructure, including testing, debugging, and certificate management quality assurance.
- Participation in planning, design, and implementation of epics and stories according to Product Owner specifications.
- Technical consultation for Product Owner regarding Erlang codebase management and best practices.
- Collaboration with Product Owner, Scrum Master, and development team to ensure timely delivery of features.
- Elixir & Phoenix + PostgreSQL
- Erlang
- IoT
- CI/CD
- Git
- Agile/Scrum
- Docker
- Kubernetes
- Frontend (VueJS)
- Embedded Devices
Michal B.
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
Teemu S.
Last position:
SRE at E.On SE
- Maintained a SaaS billing platform on AWS as part of the Site Reliability Engineering (SRE) team.
- Played a key role in an AWS cloud migration project, implementing Terraform (IaC), creating CI/CD processes and pipelines, hardening images, upgrading tool versions, and developing scripts.
- Wrote documentation.
AWS Cloud migration:
- Design and implement CI/CD for deploying AWS resources using GitLab CI, Terraform, and GitOps.
- Create and configure DevOps toolchain including Jenkins, Harbor, and Vault.
- Deploy billing application, microservices, and supporting infrastructure services to Nomad clusters.
- Re-designed TLS/mTLS certificate management using Vault and Lambda.
Security (Infrastructure Hardening & Patch Management & Vulnerability Scanning):
- Managed multiple AWS accounts for Consul/Nomad/Traefik clusters (10–20 EC2 instances/account, ASG) and DevOps toolchain accounts (Harbor, Jenkins, Vault).
- Created hardened AMIs via Packer based on CIS benchmarks for Nomad, Jenkins, Harbor, and Vault; deployed using Terraform.
- Integrated Trivy via Harbor plugin for container image scanning.
- Implemented strict AWS VPC security group rules.
- Developed and maintained patching process across environments using Qualys and Wiz.
- Deployed Qualys Cloud Agent to all EC2 instances, tracked CVEs and tested patches in lower environments before rollout.
- Automated patch deployment across all AWS accounts using Terraform and GitLab CI and verified patch compliance via Qualys/Wiz dashboards.
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Mahesh S.
Last position:
Azure Solution Architect at Automotive industry
Implementation of complex Azure resources using Terraform IaC and Azure DevSecOps pipelines with network security and zero-trust governance policies
Optimization of the existing network design, firewall and database migration
Implementation of governance and network policies as Policy as Code (PaC)
Establishment of company-wide Azure connectivity using Azure VPN as an IPSec tunnel
Implementation of hybrid on-premises multi-cloud connectivity (GCP, Azure) using Terraform
Development of Azure Functions for scheduled cron jobs and Service Bus message queuing with topics
Optimization of messaging with Service Bus premium features and IP whitelisting
Stakeholder management, customer communication and creation of Architectural Decision Records (ADR)
Responsible for cost-efficient quick wins in Azure and on-premises systems
Nils M.
Last position:
Database Architecture for PostgreSQL at ComputaCenter / Deutsche
- Planning and documentation of database architecture and integration with other components provided by other teams and vendors
- Extensive documentation for the architecture, security, access control, encryption, roles and user management, backup and restore, disaster recovery and general operations
- Deployment of database clusters over 2 locations with 2 availability zones each
- Automation of deployment and operations including backup using Ansible
- Hardening of the database and operating system
- Migration of existing stand-alone database systems to cluster setup
- Technologies: PostgreSQL, Patroni, etcd, barman, RedHat Enterprise Linux 9 (RHEL), Ansible, Ansible Automation Platform, TLS, Hashicorp Vault, LUKS
Adrian H.
Last position:
Interim Consultant for Oracle Database Migrations to the AWS Cloud at Bank Deutsches Kraftfahrzeuggewerbe GmbH
- Migration of Oracle databases from on-premise to the AWS Cloud
- Support for technical Oracle solutions and cloud database infrastructures (IaaS and PaaS) RDS vs. EC2, sizing for performance
- Creation and maintenance of DR/HA (Disaster Recovery/High Availability) and backup and recovery policies and procedures (multi-region backup)
- Support for Oracle license selection, Enterprise → Standard migration
- Monitoring database instances
- Implementation and maintenance of database security (wallet, SSL)
- Patch management and version control
- Automated installation and configuration of Oracle databases using Terraform and Ansible
Michael P.
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
Sebastián K.
Last position:
Smart Charging at Mercedes-Benz, MBTI
Agile software development in an interdisciplinary environment
Cross-team collaboration to achieve important milestones
Independently developing new and improving existing features
Estimation, refinement, implementation, and presentation
Finding solution ideas, analyzing problems, rolling out bug fixes
Writing automated tests, manual testing, log and error analysis
Ensuring high availability, fault tolerance, and scalability of the production environment
Rolling out releases and multi-stage infrastructure
Setting up alerts and monitoring
Pair programming, code reviews, documentation
On-call duty, 3rd level support
Event-Driven Architecture, Clean Code, Hexagonal Architecture
Microservices based on Go (Gin), Java 21 (Spring Boot 3), Python (FastAPI)
Terraform/OpenTofu, KQL, SQL, JSON, REST, Helm, ArgoCD, AzureCLI, K9s, OAuth2
Postgres, Redis, Kafka, Azure EventHub, Kubernetes, nginx, Ingress
AppInsights, LogAnalytics, OpenTelemetry, Datadog, OpenAPI 3, Swagger
Azure DataExplorer, Storage, KeyVault, Container Registry, Azure Functions,…
Junit5/Jupiter, testify, RestAssured, Docker Compose, Wiremock
IntelliJ, Scrum, Kanban, Teams, Confluence, OpsGenie, Arc42
GitHub CI/CD, GitLab CI/CD, Azure DevOps
EV charging protocols (EVSE, OCPP, V1G, V2G)
Discover over 15,000 top freelancers
Statistics of experts using HashiCorp Packer
Aggregated from the professional profiles of matched freelancers.
Experience
22 years

Position duration
1.6 years

Positions per freelancer
19

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Retail, Banking and Finance

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
77%

Certifications per freelancer
4

Most common languages
German, English, Spanish

Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using HashiCorp Packer
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
HashiCorp Packer experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (93%)
- Retail (73%)
- Banking and Finance (67%)
- Automotive (60%)
- Insurance (53%)
- Healthcare (47%)
- Transportation (47%)
- Government and Administration (47%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Image automation
HashiCorp Packer is an open-source tool for creating identical machine images from a single configuration. It supports virtual machines, cloud images and container images, helping teams replace manual server preparation with a repeatable build process. Packer configurations can be stored, reviewed and versioned alongside application code.
Build targets
Packer creates images for providers such as Amazon Web Services, Microsoft Azure, Google Cloud, VMware and Docker. Experts define builders, provisioners and post-processors to install software, apply configuration and publish the finished artifact. The same workflow can produce images for different environments while keeping the base system controlled.
Ecosystem skills
Strong Packer specialists understand the infrastructure around image creation, not just the template syntax. Their work often includes:
- HCL configuration and reusable Packer modules
- Terraform workflows and infrastructure repositories
- Ansible, shell or cloud-init provisioning
- CI/CD pipelines for validation and image release
- Cloud identity, networking and secret handling
When to bring expertise
Companies typically seek freelance Packer expertise when manual image creation slows delivery or produces inconsistent environments. A specialist can migrate legacy JSON templates to HCL, establish image pipelines, standardize operating system baselines or connect builds to an existing Terraform and CI/CD setup. In Germany, this can support cloud migration and regulated enterprise environments while allowing remote collaboration with distributed teams.
Delivery and security
A reliable image process needs more than a successful build. Professionals define versioning, artifact retention, source validation and failure handling, then add checks for vulnerable packages, leaked secrets and excessive permissions. They also make builds reproducible, document dependencies and separate temporary credentials from the image itself.
Choosing a specialist
Look for practical evidence of image pipelines across the providers your company uses. A strong expert can explain builder selection, provisioner behavior, caching, plugin management and how Packer fits beside Terraform, Ansible or Kubernetes. They should test images before release, troubleshoot cloud-specific failures and leave behind readable configurations that your team can maintain.
Frequently asked questions
Questions about HashiCorp Packer? Start with the answers below.
HashiCorp Packer automates the creation of machine images for cloud providers, virtualisation tools and containers. Companies use it to produce consistent, tested base images that can be deployed repeatedly across environments.
Packer creates machine images, while Terraform provisions and manages infrastructure from those images. They are often used together: Packer prepares the immutable artifact, and Terraform deploys the surrounding resources.
HashiCorp Packer work commonly connects with HCL, Terraform, Ansible, shell scripting, cloud-init and CI/CD systems. Knowledge of cloud identity, operating system hardening, image testing and artifact management is also valuable.
Packer projects need a specialist who understands the target builders, provisioning tools and release process, rather than someone who only knows the basic syntax. More complex work benefits from experience with multi-cloud images, plugin behavior, security controls and pipeline failures.
HashiCorp Packer is well suited to remote work because its configurations, pipelines and image tests can be reviewed in shared repositories. On-site collaboration may help when specialists must inspect internal infrastructure or coordinate closely with teams that expect German-language communication.
Packer is useful when a company wants a ready-to-deploy, immutable base image instead of configuring every server after launch. Configuration management can still handle runtime settings, but baking stable dependencies into an image can improve consistency and startup workflows.
HashiCorp Packer deliverables should be reproducible, versioned and tested across the required build targets. Review the specialist’s handling of secrets, plugins, failure recovery, image cleanup, vulnerability checks and documentation before accepting the implementation.
Packer specialists may deliver HCL templates, cloud or virtual machine images, CI/CD jobs, validation tests and release documentation. They can also improve legacy JSON configurations, introduce image versioning and connect builds with Terraform or existing infrastructure workflows.
The average hourly rate of freelancers in Germany who have used HashiCorp Packer in their recent projects is 104 €, which corresponds to a daily rate of about 832 € based on an 8-hour working day.
Of the freelancers in Germany who have used HashiCorp Packer in their recent projects, 100% hold at least a Bachelor's degree and 77% hold at least a Master's degree.
On average, freelancers in Germany who have used HashiCorp Packer in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used HashiCorp Packer in their recent projects are German (100%), English (100%), and Spanish (7%).
The most common industries among freelancers in Germany who have used HashiCorp Packer in their recent projects are Information Technology (93%), Retail (73%), and Banking and Finance (67%).
The most common business areas among freelancers in Germany who have used HashiCorp Packer in their recent projects are Information Technology (100%), Product Development (100%), and Operations (80%).
Main locations of FRATCH Experts, who have recently used HashiCorp Packer
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.
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