Perl Experts
in minutes from over 15,000 CVs with the power of AI.Hire experts who maintain legacy Perl systems, build reliable text processing and automation scripts, and work with CPAN modules, CGI, DBI, and modern testing tools. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts who have recently used Perl
Ales Loncar
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.
Rudolf Eggelbusch
Last position:
Datacenter Engineer, Network & Security Administrator at International insurance group
Operation and further development of the network and security infrastructure.
Monitoring, analysis and resolution of network and security incidents.
Cross-department collaboration with other specialist teams for operations, further development and reporting.
Firewall vulnerability analysis.
Firewall rule approvals.
Troubleshooting IP communication issues in the network and firewall infrastructure.
Security-critical IT infrastructure, processing of personal data, compliance with legal regulations.
Products: Palo Alto Networks Firewalls, Cisco ACI, Checkpoint Firewalls, F5
Technologies: SDN, SDWAN, Cisco EPIC, Cisco ACI
Burhan Dinler
Last position:
Enterprise Architect & Solution Architect at DB Netz AG
With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.
- Capture current architectures of existing systems as well as methodical consulting and development of target architectures
- Deepen and maintain the building plan / target IT landscape
- Implement technical architecture concepts & architecture descriptions
- Implement migration concepts for updating and further developing the platform and information systems
- Assess submitted improvement suggestions as part of the project
- Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
- Create a compatibility matrix of the components in use and compare dependencies of specific versions
- Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
- Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
- Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
- Advise the Release Train Engineer / Project Manager in identifying project risks
- Advise the System Architect Engineers in steering the implementation of the concept
- Implement the IT concept
- Document the infrastructure
Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot
Markus Blohm
Last position:
Consultant, Technical Project Manager at Lanxess
- Project: ESU Windows and SQL Server consolidation / Configuration Management in ServiceNow
- Creation of an as-is analysis of all servers worldwide
- Creation of an as-is analysis of all SQL servers worldwide
- Creation of requirements analyses for SQL and server migrations
- Coordination of requirements with partners for migrations to Hyper-V (on-premises) or Azure Cloud
- Moderation of jour fixe meetings
- Creation of roadmaps and solution models for server migrations
- Setup of test scenarios
- Moderation of workshops for the introduction of a Global Admin Team
- Creation of data models (CMDB) in ServiceNow
- Conducting workshops for the CMDB data model
- Creation of solution models for the CMDB
- Creation of seamless configuration and work documentation for the CMDB
- Creation of reports for license management
- Creation of KPIs for data quality in ServiceNow
- Creation of a service catalog
- Moderation of workshops for creating service requests
- Interface between needs analysis and ServiceNow development team
- Systems used: Windows 7, Windows 10, Microsoft Office 365/2010, Windows Server 20xx, SQL Server 20xx, SharePoint, Azure Cloud, Hyper-V, ServiceNow, various tools
Kevin Fischer
Last position:
DevOps and Platform Engineer at DB Systel GmbH
- Error analysis and fixes including performance optimization of the in-house developed platform API
- Change and incident management in day-to-day operations
- Responsible for compliance with security and compliance requirements
- Vendor management for software development and maintenance
- Planning and execution of migration of legacy services to a cloud native platform
Role in the project: project staff, implementation team
Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management
Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)
Ljubomir Obrenovic
Last position:
Senior Software Test Engineer at Keil KTM GmbH
Temporary employment
- System black-box integration tests (BBIT, IVVQ): Execution of regression, release, acceptance, and compliance tests for safety-critical brake control units in the rail industry
- Software test application & integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies, and component interactions
- Test automation (FEAT framework): Co-development and further development of an automated test framework for test execution, reporting, and result analysis
- Functional safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage, as well as standards compliance according to EN50126/28/29
- Test automation for communication components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
- Requirements analysis & shift-left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities, and redundancies early in the SDLC
- Test design & test case development: Derivation of test conditions, coverage strategies, and implementation of data-driven test cases (DDT), including reusable test data fixtures
- CI/CD & automation (Python, PowerShell, Jenkins, SVN): Automation of build, test, and HIL deployment processes as well as integration into CI/CD pipelines
- Test data & configuration management (XML): Maintenance and adaptation of XML test vectors and system configurations with automated integration into test environments
- Non-functional testing: Execution of performance and load tests to assess stability and system behavior
- Agile development & defect management (JIRA, Confluence): Participation in Scrum teams, test coordination, review of test artifacts, as well as defect tracking and root-cause analysis
- Error analysis & debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system layers (application to bus)
- Model-based analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
- Process & test documentation: Creation of integration and test documentation according to internal quality and certification requirements
Alexander Zhirov
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Stefan Amann
Last position:
Sole Architect and Developer at Bauernhof-Eis Stangl GbR
Design and implementation of a compact ERP, CRM, accounting, and production-planning platform for a German food manufacturer. The system replaces Rechnung11, self-built Excel sheets, and manual processes for fewer than 10 internal users.
- Designed and implemented the full platform architecture as sole architect and developer.
- Built modules for customer management, B2B order handling, invoicing, production planning, and accounting support.
- Implemented DATEV export, ZUGFeRD/XRechnung e-invoicing, FinTS bank statement synchronization, and GoBD audit trail concepts.
- Used AI-supported workflows for prototyping, test support, and implementation acceleration while retaining full architecture, review, testing strategy, and technical ownership.
Technology: Java 23, Spring Boot 3, Spring Data JPA, Spring Security, Vue 3, TypeScript, PostgreSQL, Flyway, REST, OpenAPI, JWT, TOTP, RBAC, DATEV, FinTS, ZUGFeRD, XRechnung, GoBD, JUnit, Mockito, Testcontainers, Playwright, Docker, GitLab CI/CD
Tamás Eppel
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Jorge Machado
Last position:
Technical Lead / Fractional CTO at Würth GmbH
I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.
Main Tasks:
- Sprint planning and feature preparation
- Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
- Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
- Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
- Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
- Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
- Manage production releases and execute live data migrations for enterprise customers
- Define engineering standards and architecture patterns for the team
Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL
Sunish Bharathan
Last position:
AtlasMind - Production AI assistant for Jira at Mercedes Benz Innovation Labs Gmbh
- Converts natural language into JQL using RAG and pgvector. Returns structured JSON with a query, chart spec, and plain-text answer. A two-stage router answers general questions without touching the JQL pipeline at all.
- Interchangeable LLM backends: Ollama, vLLM, Groq, Anthropic Claude, AWS Bedrock - switchable at runtime, no code changes. Self-healing JQL: on Jira validation failure, feeds error back to LLM, retries up to 4 times. OCI Vault for secrets. Deployed on Oracle Cloud A1 with GPU inference over Tailscale private network. Open source.
Ananthraj Narasappa
Last position:
Founder at sprhava
Leading the end-to-end development of Edge AI-powered smart glasses for visually impaired individuals, aligning product vision with user needs and managing a cross-functional team of data scientists, Android developers, AWS engineers, and hardware specialists.
- Defined product roadmap for Edge AI smart glasses and MVP features through user research, stakeholder interviews, and competitive analysis, ensuring accessibility and real-world usability.
- Developed and validated a PoC for AI-driven cancer cell identification in PET/CT scans, collaborating with medical experts to optimize diagnostic accuracy and clinical relevance.
- Built and scaled a multidisciplinary team of 75+ engineers, interns, and designers across Germany and India, driving cross-border collaboration and iterative prototyping.
- Established strategic partnerships with NGOs, healthcare providers, and advocacy groups to embed inclusivity and patient feedback into product design.
- Drove hands-on hardware-software integration using Raspberry Pi and Jetson Nano of AI models. Initiated and nurtured relationships with suppliers, manufacturers, and ecosystem players to build scalable go-to-market plans.
- Owned critical product decisions, from prototype development to funding strategy, applying a data-informed and impact-driven mindset.
- Fostered a learning-focused culture by facilitating brainstorming sessions and continuous feedback loops between engineering and product.
Achievements:
- Public speaker: Auto.Ai 2025 (Berlin), Wearable technologies 2025 (Munich and Bangalore), MEDICA 2024 (Dusseldorf)
- WMF, Bologna, Italy (June 2024): Only AI startup to be selected from Germany as EBV hero to represent sprhava on global platform
- Medica, Germany (2024): Delivered a speech on AI smart glasses in world's largest Healthcare event.
- Wearable Technologies, Bengaluru, India (Dec 2024): I was a speaker presenting sprhava and its product.
- Venturise Global Challenge (GIM 2025, Bengaluru Palace, Karnataka): sprhava was selected as one of the 16 top startups (ESDM) to present on this global platform
- Wearable Technologies Conference 2025 EUROPE, Munich, Germany (May 2025): Delivered a talk on Edge AI at the Europe's biggest wearable tech event.
- InsurNext Köln, Germany (2025): sprhava was honoured with a booth from Cologne administration.
Ashutosh Tripathi
Last position:
Consultant at Brillio Technologies
- Developed backend for Audit Management Tool using Node.js/Express with Workday API integration.
- Built secure file handling (PDF, PPT, CSV) with AWS S3 and database support via PostgreSQL, Prisma, and MongoDB.
- Implemented validation, role-based access, and audit trails for compliance and data integrity.
Matthias Weiss
Last position:
DevOps Engineer at Interhyp AG
- Infrastructure management with Puppet and Terraform for consistent environments
- Maintenance and adaptation of Terraform scripts for Azure cloud deployment
- Migration of database systems and services to the Azure cloud
- Introduction of GitOps with ArgoCD for fully automated deployments
- Adaptation and development of GitHub pipelines for CI/CD workflows
- Creation of Helm Charts for standardized deployments
- Migration of repositories from Bitbucket to GitHub
- Operation and performance optimization of an Oracle 19c grid cluster (RAC, Dataguard)
- Setup and management of MongoDB instances (on-premise and Azure Kubernetes)
- Setup of PostgreSQL clusters in on-premise and Azure Kubernetes environments
- Migration of services, master data, and stored procedures from Oracle to PostgreSQL
- Troubleshooting and performance tuning of complex data infrastructures
- Installation, configuration, and upgrade of Tableau in the productive BI environment
- Development of sanity checks to monitor business processes and application logic
- Adaptation of the backup and recovery strategy to new requirements
- Carrying out disaster recovery and point-in-time recovery
- Technologies used: Oracle 19c RAC Grid Dataguard, PostgreSQL 16, MongoDB, MySQL Cluster, Kubernetes (Azure), Tableau, Puppet, Terraform, ArgoCD, GitHub/Bitbucket, CheckMK, Prometheus, Grafana, Icinga2, Ubuntu/RHEL
André Howe
Last position:
Linux IT Admin at ReiserST
- Development and maintenance of IT architectures with embedded Linux systems.
- Designing, implementing, and optimizing backend applications and script-based solutions.
- Analyzing and resolving issues, including troubleshooting and user support.
- Developing and implementing security concepts for cloud solutions.
- Administering networks (DHCP, DNS, NTP, VPN).
- Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
- Methods: Kanban.
Discover over 15,000 top freelancers
Statistics of experts using Perl
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
3.2 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
84%
Master's degree or higher
58%
Doctorate
14%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
98%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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 using Perl
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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Perl in practice
Perl is a long-standing language for text-heavy work, system automation, reporting, and backend services. It still shows up in tools that process logs, parse files, move data between systems, and support older business applications that continue to run well.
Typical delivery
- Maintenance of existing Perl codebases
- Automation scripts for ops and data tasks
- ETL and file-processing jobs
- Web backends built with CGI, PSGI, or Mojolicious
- Integration with databases and APIs
Ecosystem and tooling
Strong Perl professionals know CPAN, the package ecosystem that makes the language useful in real projects. They work with DBI, Test::More, strict and warnings, regular expressions, and command-line tooling that keeps scripts readable and stable.
When companies bring in help
Teams often look for Perl expertise when an older application needs safe changes, when a script has become business-critical, or when a data flow depends on custom parsing. They also bring in specialists when internal knowledge is thin and the code must stay running while it is improved.
What good specialists do
Good Perl professionals write code that is clear, tested, and easy to trace. They understand how to untangle dense scripts, reduce hidden side effects, and keep compatibility with the libraries and runtime already in place.
How teams work with Perl
- Remote support works well for most Perl work
- On-site collaboration helps with legacy systems and shared infrastructure
- Clear access to logs, scripts, and test fixtures speeds up delivery
- Good documentation matters because many Perl systems live for years
Perl is often chosen where stability and text handling matter more than trends. In practice, the best projects combine careful refactoring, strong tests, and close attention to the surrounding systems.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Perl.
Perl is most often used for text processing, automation, log handling, reporting, and backend integration work. It is also common in older internal systems that still need safe updates and reliable maintenance.
A company should bring in a Perl specialist when a script has become business-critical, the code is hard to read, or the original author is no longer available. It also helps when you need careful refactoring without breaking existing behavior.
Perl is often stronger when the job is heavy on text manipulation, regular expressions, and compact system scripts. Python is usually preferred for broader application development, while PHP is more common in web-centric stacks.
A strong Perl professional usually knows shell scripting, SQL, Linux, Git, and testing tools such as Test::More. For web or integration work, experience with DBI, CPAN modules, APIs, and deployment on Unix-like systems is especially useful.
Perl fits projects that move data between systems, clean or transform text, generate reports, or support older applications that already depend on it. It is also a good choice for command-line tools and maintenance work around existing infrastructure.
A simple Perl script may only need a specialist who is comfortable with the language and its core modules. A legacy application, however, usually needs someone who can read older coding styles, improve tests, and keep compatibility intact.
Most Perl work can be done remotely if the specialist has access to code, logs, test data, and the right systems. On-site work can help when the environment is old, tightly controlled, or deeply tied to internal infrastructure.
Look for clear code, good tests, careful use of strict and warnings, and a sensible approach to modules from CPAN. A strong Perl expert can explain why a change is safe, how they would verify it, and how they would avoid breaking existing behavior.
The average hourly rate of freelancers who have used Perl in their recent projects is 98 €, which corresponds to a daily rate of about 786 € based on an 8-hour working day.
Of the freelancers who have used Perl in their recent projects, 84% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers who have used Perl in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers who have used Perl in their recent projects are German (99%), English (97%), and French (25%).
The most common industries among freelancers who have used Perl in their recent projects are Information Technology (92%), Banking and Finance (53%), and Automotive (50%).
The most common business areas among freelancers who have used Perl in their recent projects are Information Technology (98%), Product Development (80%), and Project Management (72%).
Main locations of FRATCH Experts, who have recently used Perl
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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