AWS Lambda Experts in Austria
, matched in minutes from over 15,000 CVsHire experts who design event-driven services, connect AWS integrations and optimize serverless workloads with AWS Lambda. Work with vetted, available freelancers selected through fast, precise AI matching for your project.
Meet FRATCH Experts in Austria, who have recently used AWS Lambda
Roman M.
Last position:
Software Engineer at FSM Rechtsanwälte
- Develop AWS-based components connecting Python backend services to React/TypeScript frontends.
- Improve database queries and application workflows for document processing and screening.
- Evaluate LLM retrieval and document-review workflows as part of the product stack.
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Markus F.
Last position:
Managing Director & Senior Consultant at IT-Trail GmbH
- Custom development
- Web hosting
- Support
- DevOps
- Technologies: C#, Node.js, Web, Windows, Linux, SQL, MS365, Azure, AWS
David L.
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
Lulzim B.
Last position:
Centralized monitoring
- Setup and maintain Prometheus and Grafana via Docker for more than 2.000 services.
- Setup CI/CD with Ansible to provision and maintain Prometheus and Grafana.
- Metrics visualization and segregation in multiple dynamic dashboards.
- Setup of real time alerting for critical services.
Jasmin G.
Last position:
Cloud Developer & DevOps Engineer at Energy Utility Company
- Further developing microservices (Go, .NET)
- Expanding gRPC APIs
- Maintaining Kubernetes clusters (AKS)
- Managing the system landscape
- Migrating Azure App Services to Kubernetes
- Creating and extending Azure Pipelines
- Developing a Go microservice to receive and send events from Azure Service Bus
- Integrating KEDA for autoscaling
- Technologies used: Go, .NET, Azure Portal, Terraform, Kubernetes, Helm, MongoDB, Jaeger, Grafana
Discover over 15,000 top freelancers
Statistics of experts using AWS Lambda
Aggregated from the professional profiles of matched freelancers.
Experience
10 years
Position duration
1.9 years
Positions per freelancer
8
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Operations, Project Management
Bachelor's degree or higher
83%
Master's degree or higher
50%
Certifications per freelancer
1
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria 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 Austria using AWS Lambda
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AWS Lambda 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 (86%)
- Banking and Finance (57%)
- Transportation (43%)
- Media and Entertainment (43%)
- Professional Services (43%)
- Healthcare (29%)
- Retail (29%)
- Automotive (14%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What AWS Lambda does
AWS Lambda is Amazon Web Services’ event-driven compute service. It runs code without requiring a team to provision or maintain servers, while automatically handling execution capacity for incoming events. Companies use Lambda for APIs, file processing, automation and backend services that need flexible scaling.
Where Lambda fits
Lambda functions can respond to HTTP requests, object uploads, database changes, queues, schedules and streaming events. They are commonly combined with Amazon API Gateway, Amazon S3, Amazon DynamoDB and Amazon EventBridge to create focused serverless components.
- Build backend endpoints and lightweight microservices
- Process files, messages and data changes asynchronously
- Automate scheduled jobs and operational workflows
- Connect internal systems through event-driven integrations
Ecosystem and tooling
Strong AWS Lambda work involves more than writing a function. Professionals use IAM for access control, CloudWatch for logs and metrics, AWS X-Ray for tracing, and services such as SQS, SNS, Step Functions and Kinesis for reliable workflows. Infrastructure is often managed with AWS CloudFormation, AWS CDK, Terraform or Serverless Framework.
When companies need specialists
Companies often bring in freelance expertise when an existing serverless setup has become difficult to monitor, secure or scale. Specialist support is also useful when moving scheduled workloads from traditional servers, introducing asynchronous processing or connecting Lambda with data and customer-facing systems in Austria and beyond.
- Review function boundaries, permissions and deployment design
- Reduce cold-start impact and unnecessary execution cost
- Establish testing, observability and release workflows
- Support remote delivery with clear technical documentation
What strong professionals deliver
Experienced AWS Lambda professionals define clear event contracts and design for retries, idempotency, timeouts and partial failure. They understand the operational limits of serverless services and choose between synchronous and asynchronous patterns deliberately. They can also explain trade-offs to product, security and operations teams in English or German.
Choosing the right approach
Lambda is a strong fit for workloads with variable demand, short-lived processing and clear event boundaries. It may be less suitable for long-running processes, specialized runtime needs or applications that require constant host-level control, where containers on Amazon ECS or Kubernetes can offer a better fit. The right specialist will compare these options against latency, governance, testing and maintenance needs before implementation.
Frequently asked questions
Curious about AWS Lambda? Here are the answers that come up again and again.
AWS Lambda runs code in response to events without requiring teams to manage application servers. Common uses include API backends, S3 file processing, scheduled automation, queue consumers and event-driven integrations.
AWS Lambda removes most server and runtime management, which suits short-lived, event-driven workloads with changing demand. Containers on Amazon ECS or Kubernetes provide more control over runtimes, networking and long-running processes, but they require more operational ownership.
A strong AWS Lambda specialist should understand IAM, API Gateway, S3, DynamoDB, EventBridge, SQS and CloudWatch. Knowledge of TypeScript, Python, Java or another supported runtime, plus Terraform, AWS CDK or CloudFormation, is also valuable.
The scope matters more than a fixed duration. A simple function may need focused support, while a production system requires experience with distributed events, retries, observability, security, deployment pipelines and failure recovery.
AWS Lambda work is often suitable for remote collaboration because code, infrastructure and monitoring can be reviewed online. Clear access controls, written event contracts and agreed communication routines are important, especially when teams in Austria work with specialists in other locations.
AWS Lambda may be a poor fit for long-running jobs, workloads needing persistent local state or applications that require detailed host control. High and predictable traffic, strict latency requirements or complex runtime dependencies can also make containers or dedicated services worth considering.
Ask how the AWS Lambda professional handles idempotency, retries, timeouts, dead-letter queues, permissions and observability. Review the infrastructure definitions, automated tests, deployment process and failure scenarios rather than judging the solution only by whether the happy path works.
Before joining an AWS Lambda project, clarify the event sources, runtime, AWS account structure, deployment method and ownership of production incidents. Freelancers should also ask about cold-start targets, data protection requirements, monitoring standards and whether the collaboration with the Austrian team is remote or partly on-site.
The average hourly rate of freelancers in Austria who have used AWS Lambda in their recent projects is 87 €, which corresponds to a daily rate of about 694 € based on an 8-hour working day.
Of the freelancers in Austria who have used AWS Lambda in their recent projects, 83% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Austria who have used AWS Lambda in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Austria who have used AWS Lambda in their recent projects are German (100%), English (100%), and French (14%).
The most common industries among freelancers in Austria who have used AWS Lambda in their recent projects are Information Technology (86%), Banking and Finance (57%), and Transportation (43%).
The most common business areas among freelancers in Austria who have used AWS Lambda in their recent projects are Information Technology (100%), Product Development (86%), and Operations (71%).
Main locations of FRATCH Experts, who have recently used AWS Lambda
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.
Countries:
- Germany
- Austria
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