Site Reliability Engineering Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Site Reliability Engineering
Deepak Mishra
Last position:
Lead ML Platform Engineer at Billie GmbH
- Mentor team of 6 ML platform engineers through weekly 1:1s, technical design reviews, and best practices, improving team velocity by 35% through structured sprint planning and skill development programs
- Define 2025–2026 ML platform roadmap in collaboration with Data Science, Cloud Engineering, and Product teams, prioritizing automated model governance, cost attribution systems, and multi-environment deployment strategies
- Partner with Data Science, SRE, and Product stakeholders to align ML platform capabilities with business objectives, reducing data scientist deployment friction by 60% through self-service platforms
- Architect and deliver production-grade MLOps platform supporting 50+ models in production with automated promotion pipelines, versioning, and rollback capabilities, achieving 99.5% platform uptime SLA
- Design distributed ML pipeline architecture using Metaflow and Argo Workflows (Vertex Pipelines-compatible), reducing model training time by 30% and deployment cycles from 2 weeks to 3 days through full CI/CD automation
- Build containerized ML services on Kubernetes with auto-scaling policies, resource quotas, and multi-tenancy isolation, optimizing infrastructure costs by $180K annually (25% reduction)
- Implement monitoring, alerting, and performance tracking using Prometheus, Grafana, and custom instrumentation, reducing model debugging time by 50% and establishing model performance SLOs
- Lead development of RAG-based document intelligence platform using LangChain, LangGraph, and vector databases, implementing agentic AI workflows for automated financial document processing
- Implement Infrastructure-as-Code using Terraform for reproducible environment provisioning and GitOps workflows, reducing infrastructure drift incidents by 80%
- Design role-based access control for ML platform, implement model lineage tracking, and establish audit trails for regulatory compliance aligned with enterprise IAM best practices
Wolfram Knan
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Thomas Übermeier
Last position:
Head of Engineering - Midnight at IOG / Midnight
IOG (IOHK), is one of the world's pre-eminent blockchain infrastructure research and engineering companies.
- Converted a lingering R&D project into a cohesive, production-ready testnet; built and scaled the 35-member engineering team (Core, QA, SRE) to achieve this goal.
- Defined strategic direction and aligned technology development with business objectives as a key member of the leadership.
- Optimized software development processes and implemented agile methodologies, enhancing operational efficiency and code security.
- Delivered projects in a fast-paced startup environment through effective project management and resource allocation.
Marc Fritze
Last position:
Interim Talent Acquisition Manager at doctari
- Building a cross-functional product team to develop a super app
- Advising and mentoring to support the team and provide input (technical & soft skills)
Nune Isabekyan
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Ali Yazdani
Last position:
Principal Product Security Engineer at Payrails GmbH
- Defined and executed a comprehensive security roadmap: integrated Shift-Left Security, CNAPP, and DevSecOps principles to streamline secure product development and reduce risk exposure.
- Established a robust threat modeling framework: embedded security into design processes, enabling early identification of vulnerabilities and reducing potential risks.
- Developed a scalable Vulnerability Management program: accelerated detection and remediation of new vulnerabilities, significantly shortening the risk response cycle.
- Enhanced cloud and container security: leveraged advanced tools such as Tetragon to achieve deeper visibility and implement a defense-in-depth strategy.
- Automated security controls within CI/CD pipelines: integrated security measures into the development lifecycle to maintain continuous delivery with robust safeguards.
- Championed cross-functional collaboration: partnered with developers and infrastructure teams to prioritize threats and align remediation efforts, fostering a unified security culture.
- Ensured regulatory compliance and audit readiness: collaborated closely with the InfoSec team to adhere to internal policies and successfully support audits for standards like PCI-DSS and SOC2.
Tino Truppel
Last position:
Director Technology at Forte Digital Germany
- Leading 20+ staff in development, site reliability engineering, and architecture.
- Leading the group-wide agentic AI initiative (Norway, Poland, Germany).
- Hands-on solution architect and AI consultant for over 50% of my working time on client projects in the publishing sector – from local publishers to international corporations.
- Strategic consulting and technical implementation of AI workflow platforms (n8n, Workato).
- Developing prototypes for traditional, AI-based, and agentic AI workflows.
Daniel Boesswetter
Last position:
Senior Cloud Consultant and Developer at SDIA/Leitmotiv
- Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Federal Environment Agency with SIEC)
- Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
- Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
- Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management
Ilya Isakov
Last position:
Data/Platform/Software Engineer/SRE at IT Consulting
- Designed a platform based on IoT, Azure, Kubernetes, and Postgres for an existing application
- Migrated from "click-ops" and UI-defined CI/CD pipelines to infrastructure-as-code with Terraform, enabling complete redeployment of multiple environments
- Technologies: Terraform, OpenTofu, Azure, Azure DevOps, Kafka, IoT, Kubernetes, Grafana, Prometheus, GitOps, relational databases
Discover over 15,000 top freelancers
Statistics of experts using Site Reliability Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.8 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Education
Certification focus areas
Information Technology, Human Resources, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
50%
Certifications per freelancer
2
Most common languages
English, German, Czech
Speak two or more languages
100%
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 Berlin 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 Berlin using Site Reliability Engineering
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 SRE Covers
Site Reliability Engineering, often called SRE, applies software thinking to operations. It focuses on keeping services stable, scalable, and recoverable while still shipping change. Companies use it to reduce downtime, control risk, and make production systems easier to run.
Core Practices
- Service level objectives, indicators, and error budgets
- Incident response, alert tuning, and postmortem work
- Capacity planning and release safety
- Automation for repetitive operational tasks
Strong professionals do not only react to incidents. They design systems so fewer incidents happen and recovery is faster when they do.
Tooling And Ecosystem
SRE work sits close to observability, cloud infrastructure, and platform engineering. Common tools include Prometheus, Grafana, OpenTelemetry, Kubernetes, Terraform, and log pipelines that make service behavior visible. Good experts understand how these pieces fit across application code, infrastructure, and deployment flow.
When Companies Bring In Freelancers
Businesses usually look for freelance SRE specialists when reliability work is urgent or a team needs extra depth. That can mean preparing a new release process, cleaning up noisy alerts, improving service dashboards, or supporting a migration to cloud-native operations. In Berlin, this often fits product teams that need flexible help across distributed engineering groups.
What Strong SRE Experts Deliver
- Clear reliability targets that teams can act on
- Safer deployments with rollback and canary patterns
- Better incident handling and root-cause analysis
- Practical automation that removes manual work
The best experts balance speed with discipline. They document decisions, work well with platform, development, and support teams, and leave behind systems that are easier to operate.
SRE Projects In Practice
Site Reliability Engineering shows up in API platforms, internal services, customer-facing web systems, and event-driven back ends. It is also common in companies that run Kubernetes clusters, multi-cloud setups, or heavily monitored production environments. For Berlin teams, that often means a mix of remote collaboration and on-site time for incident reviews, workshops, or rollout planning.
Frequently asked questions
Before you brief your next project: the most common questions about Site Reliability Engineering.
Site Reliability Engineering applies engineering methods to operations work. It helps teams define reliability goals, monitor service health, and automate the tasks that keep production systems stable. The goal is not only to fix incidents, but to prevent them and recover faster when they happen.
SRE overlaps with DevOps, but it is more specific. DevOps is a broad way of working that links development and operations, while SRE uses concrete practices such as error budgets, service level objectives, and incident management. Many companies use both ideas together, but they are not identical.
A Site Reliability Engineering freelancer is useful for observability work, release hardening, alert cleanup, and production readiness. They are also brought in for cloud migrations, Kubernetes operations, and incident response improvements. The strongest fits are teams that need practical reliability help without adding a permanent role immediately.
A strong Site Reliability Engineering specialist usually brings scripting, Linux, cloud infrastructure, monitoring, and automation skills. Familiarity with tools like Prometheus, Grafana, Kubernetes, Terraform, and OpenTelemetry is common. Communication matters too, because the work touches product, platform, and support teams.
Site Reliability Engineering work is not suited to generalists who only know one monitoring tool. A serious project usually needs someone who has handled incidents, designed alerting, and improved production systems before. The more complex the environment, the more important real operational judgment becomes.
Yes. Site Reliability Engineering can be done remotely, especially when the work focuses on dashboards, automation, and design reviews. For Berlin companies, a hybrid setup is often practical when incident workshops, stakeholder meetings, or production handovers benefit from being on-site.
Look for clear thinking, not just tool knowledge. A good Site Reliability Engineering expert can explain why an alert matters, how an incident was handled, and what changed afterward. Ask for examples of improved reliability, cleaner deployments, and automation that removed manual work.
SRE focuses on reliability outcomes for services in production. Platform engineering builds the internal tools and platforms that help teams deliver software more safely and consistently. In practice, the two often work together, but SRE stays centered on service health, error budgets, and incident response.
The average hourly rate of freelancers in Berlin, Germany who have used Site Reliability Engineering in their recent projects is 112 €, which corresponds to a daily rate of about 894 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Site Reliability Engineering in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Site Reliability Engineering in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Berlin, Germany who have used Site Reliability Engineering in their recent projects are English (100%), German (89%), and Czech (11%).
The most common industries among freelancers in Berlin, Germany who have used Site Reliability Engineering in their recent projects are Information Technology (100%), Professional Services (56%), and Education (44%).
The most common business areas among freelancers in Berlin, Germany who have used Site Reliability Engineering in their recent projects are Information Technology (100%), Product Development (89%), and Project Management (89%).
Main locations of FRATCH Experts, who have recently used Site Reliability Engineering
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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