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Summary
Engineering leader, in tech since 2006: AWS and
Azure architecture, operations, and applied AI. Currently building an AI
SRE product and taking on contract engagements, especially with teams
whose AI-accelerated delivery has outrun their understanding of what
actually ships.
Engineering leader, in tech since 2006, 15+ years of it building and
operating systems, on and off the cloud, with the cloud work primarily on
AWS and Azure, across both individual-contributor and management roles. I
solve problems, design architectures, build tools, and help the people
around me do the same. I care about understanding before automating, and
the tools I build are meant to accelerate understanding, not replace it.
Currently building an AI SRE product to keep my hands busy and up to
date with the latest tech, and taking on contract engagements alongside
it. My sweet spot: teams that went hard on
AI in their development process and feel that something is off. Shipping
is faster, understanding is thinner, and nobody is sure what actually
changed. I help figure that out. Also cloud architecture, operations, and
the unglamorous work of making systems boring to run.
AI SRE product: agent architecture and EU-region AWS infrastructure turning Kubernetes alerts into root-cause analyses.
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.
Founder, AI and Cloud Architecture Consultant, envimate GmbH2016 Q3 — Present
Independent AWS & Azure consultancy — cloud architecture, DevOps, applied AI. Siemens, mercateo, and Gulp among the clients.
Independent consultancy designing and operating scalable cloud-native systems on AWS and Azure, across DevOps, SRE, automation, and applied AI.
The work sits where AI, automation, and cloud architecture meet: infrastructure as code, observability, and self-healing systems. Automate what the team understands, not what looks impressive in a demo.
Currently taking on engagements around AI in the development process: teams whose delivery got faster since adopting AI tooling while quality, reviews, or incident response got harder to trust. The work is understanding what actually changed, then fixing that.
Selected engagements:
Siemens. MindSphere Gateway architecture and code review, with scaling proposals for AWS. Separately, an istio service mesh evaluation with a custom Go performance client across AWS and Google Cloud.
mercateo AG. Migration of a large Spring Boot landscape to AWS: CI/CD, infrastructure as code, multi-account deployment pipelines, and cost optimization on ECS, CloudFormation, and Terraform.
Gulp. SIEM system on AWS built on Elasticsearch, Kibana, and Beats, plus an automated code review toolchain with SonarQube and CodePipeline.
Data Reply. Cassandra cluster automation in AWS with Terraform; Kubernetes API review on Google Cloud.
insparx. Architecture and coding of a sensitive-data migration from MySQL to Postgres and MongoDB with Spring Batch.
Founder and CIO, powerdata GmbH2020 Q2 — 2025 Q4
Led 15 engineers and 100+ AWS accounts; AI call-center automation handling ~50,000 calls a day. Acquired in 2024.
Berlin SaaS company for the energy sector, building serverless SaaS products on AWS for German power and utilities companies.
Built and maintained an omnichannel customer-support automation platform: voice, chat, and email intent recognition, with the routine use cases automated behind it. Deployed at one of the largest German power and utilities companies, it handled around 50,000 calls a day: meter readings, banking changes, payment adjustments, all resolved end to end without a human agent.
Led a team of 15 engineers and managed all AWS infrastructure, more than 100 accounts, following AWS security and compliance best practices.
Owned product and project architecture, infrastructure, and DevOps planning; every solution passed AWS architectural reviews. Spoke about the work at AWS Summit and an energy industry symposium. The company was acquired in 2024.
Founder and CTO, connectAI2021 Q2 — 2023 Q2
Co-founded an omnichannel AI customer-care platform for the German energy industry.
Co-founded an omnichannel customer-care platform for the German energy industry. Voice, email, chat, and document recognition handled through one system.
Self-learning digital assistants on AWS that handled routine energy cases on their own: meter readings, tariff changes, relocations, banking and payment updates. Personalised and proactive, on the channel the customer chose.
Software Engineer, Teradata2015 Q3 — 2016 Q3
Lambda Architecture, microservices in Java, Scala, and Go, and the delivery pipeline around them.
Built a Lambda Architecture on HDFS, Parquet, HBase, Presto, Elasticsearch, and Storm. MapReduce jobs in plain Hadoop and Apache Crunch.
Microservices in Java, Scala, and Go, with end-to-end continuous delivery.
On the build engineering side, set up and maintained the delivery pipeline: Maven and Gradle integration, Jenkins for release, dependency, and packaging management, and dockerizing applications from dev through to live.
Support Engineer, Amadeus IT Group2014 Q4 — 2015 Q3
BigData and NoSQL depth for a scalability study, plus incident and change management.
Brought BigData and NoSQL depth to a scalability study: performance, resiliency, and operability analysis for prototypes on Hadoop and MongoDB.
Incident troubleshooting, recovery, and resolution. Change management across applications and platforms, validating cross-system impact.
Architecture team for a from-scratch product rebuild, performance work, and data analysis.
On the architecture team building a new version of the product from scratch: design, prototyping, feasibility studies, and the continuous delivery to ship it.
Integrated a third-party matching engine into the existing system and built the big-data infrastructure around it.
On the performance team, worked with operations on monitoring and diagnostics, and combined multiple data sources into statistical analysis of user behavior alongside the BI team.
Software Engineer, Be22011 Q1 — 2012 Q3
Matchmaking product across 38 countries at up to 5M daily visits, core matching engine.
Built a highly scalable matchmaking product running across 38 countries at up to 5M daily visits.
Worked on the core matching engine: pairing suitable users from a scientific algorithm, activity, search, and profile criteria.
Ran the migration of the legacy application to its new version, from preparation through execution.
Junior Java Developer, Be22009 Q2 — 2011 Q1
First engineering role: core product algorithms in an agile team.
Worked across the full delivery cycle in an agile team, on the core algorithms of the product.
Used Groovy and Grails with MongoDB, and built email delivery on Apache ActiveMQ.
icinga2-slack-notifications, an older monitoring-to-Slack integration I no longer maintain. It solved a concrete problem and found its audience in that niche (73 stars, 36 forks).
Skills
'09-11'12-14'15-16'16-20'20-25nowArchitecture and serverless: Lambda, ECS, S3, DynamoDB, SQS, SNS, API Gateway, CloudWatch, Step Functions, Amazon Connect, and most core services; 100+ account org.Multi-department account design, management, and security; Azure Functions, Azure AI Foundry (formerly Azure OpenAI / AI Studio), Bot Framework chatbots, application gateways, Blob Storage.Multi-agent orchestration, MCP, Strands Agents SDK, Claude API, OpenAI API, Amazon Bedrock, AgentCore, RAG, memory management, LLM observability.CloudFormation, CDK, Terraform, Helm, Ansible, CI/CD pipelines, GitOps.Kubernetes, Helm, istio, observability, incident response, production operations.Amazon Connect, Twilio API, telephony and call-flow automation.Primary language today: agents, automation, and tooling.NestJS backends, Next.js/React frontends.Go services, CLIs, and performance tooling.Java, Scala, Groovy, Grails, Spring — the JVM years.Hadoop, HDFS, HBase, Presto, Storm, Elasticsearch, MongoDB, Cassandra.Engineering management, mentoring, hiring, 15-person team.
touched
regular
heavy
daily work
Click a row for the concrete technologies behind it.
Cloud
AWS and Azure architecture, serverless architectures, GitOps. Azure: multi-department account design, management, and security; Azure Functions, Azure AI Foundry, Bot Framework chatbots, application gateways, Blob Storage
Beyond Chat: AI Workflows That Actually Investigate Alerts. Why chat-based AI is the wrong shape for incident investigation, and what works instead: workflows that investigate like a teammate who knows the system, shown in a live demo against a simulated 3am alert.
“Nune is one of the most technically proficient CTOs I’ve ever worked with. As an AWS Solutions Architect, I witnessed firsthand her exceptional expertise in a broad range of areas (e.g., AI/ML, DevOps, Cloud Architectures, and Information Security). Her strong drive for continuous learning sets her apart in the fast-paced tech world.
Another extraordinary strength of Nune’s is her strategic vision. She’s very curious to understand her customers’ needs in detail, allowing her to increase value for the customer and uncover valuable opportunities to grow her organization’s business.
Nune’s profile is complemented by her strong organizational skills. I’m always amazed at the level of detail she recalls on the spot, given the number of projects and initiatives she needs to own and drive in parallel.
I’m looking forward to working with Nune again in the future!”
— Markus Döpke, Senior Solutions Architect at Amazon Web Services (AWS)
“I had the pleasure of working 4 years with Nune as Founder/CIO of powerdata. Her expertise developing modern, reliable, and scalable SaaS products and AI automation drove significant impact in our collaboration and for powerdata’s customers and their satisfaction. Nune consistently delivered high-impact outcomes. Her leadership and ability to translate complex tech into clear business value and actionable insights make her an exceptional person. I highly recommend working with Nune, being inspired by her and her career path, and wish her all the best for the future.”
— Tobias Maier, Team Lead & Senior Account Manager at AWS
“Nune is a great professional to work with. We worked together at connectAI GmbH and she helped me a lot to get started and also to understand internal processes. Her work ethic is immaculate and so easy to work together with. Nune’s ability to juggle multiple projects was unlike any I’ve seen before and made a dramatic difference in the productivity level of our team. She goes out of her way when you ask for some help and guidance. Her ability to deal with problems and come up with new ways to achieve results was always an inspiration. She is reliable and very goal-oriented, which inspired our team to try our best always. The other characteristics that made her such a great leader were her honesty and kindness. She knows how to bring the best out of each person and is an outstanding mentor. I’m delighted I had the chance to learn from Nune. As a team member or a leader, Nune earns my highest recommendation.”
— Anna Martirosyan, Senior Site Reliability Engineer at ServiceTitan Armenia
“I worked for Nune on a custom API portal development project for the AWS marketplace in 2019.
She is a talented problem solver in the AWS ecosystem, and is especially good at learning the ins and outs of a new service to get results fast.
Anytime AWS releases a new feature, you can be certain she will find a way to power through it, integrate it with the existing ecosystem, and make it production ready.
Nune gets it. And I am reminded of it every time I so much as try to mansplain something to her.
She comes highly recommended in my book. You’d be lucky to have a free slot on her busy schedule!”
“Nune is the first person I call if I need help with anything related to CI/CD, AWS, infrastructure automation, and architectural refactoring of an existing, complex and to me unknown codebase/system.
I’ve worked with Nune for years on multiple projects with a broad spectrum of technologies. I’ve never worked with someone who was more efficient in understanding new technologies, analyzing existing source code, and complex, automated infrastructures. Putting the results into words, pictures, documentation and first and foremost architectural context was a piece of cake for her. Another outstanding skill of hers is automating everything related to CI/CD pipes and cloud infrastructures like AWS and Kubernetes, be that in a team setting or completely autonomously. The latter speaks for strong abstract thinking and architectural skillset.
I will certainly work with her again and can only give her my fullest recommendation.”
— Richard Hauswald, Full-stack Engineer (Dev, QA, OPS, Security)
“Nune was a really great support in the three months she helped in my team. As a cloud architect with great knowledge and fast perception she implemented a new Elasticsearch cluster (based on Docker) hosted on AWS ECS. Furthermore a frontend for visualization, Kibana (with focus on SIEM), was attached to the cluster, and some dashboards were created from data shipped with auditbeat. All this was done very quickly and with much brainpower using Terraform, Ansible and Docker. Also topics like automatic backups and recovery, alerting and security were dealt with great success. Thanks Nune!”
— Tobias Ott, Technical Account Manager at Amazon Web Services (AWS)
“Nune and I worked together in my previous assignments at Teradata and I found her inspiring me almost every day while trying to resolve challenging problem statements. She had an unquenchable appetite for the operational aspect of SDLC along with the development aspect. She always gave interesting solutions to equally challenging problems that we had for smoothly putting our hybrid solution, consisting of a monolithic application along with several microservices, into the production environment.
I can recall one amongst the several examples, where she contributed tremendously in improving the continuous delivery pipelines of our complex solution, and that too in the very early stages of being in the team. She was appreciated by everyone in the company and was also the source of continuous inspiration amongst the co-workers.
In my opinion she is a quick learner, who continuously explores for better and more efficient solutions without losing focus on the task at hand. I wish that we get to work together sometime soon in future.”
— Ankit Chaudhary, Database Researcher, Dr. rer. nat. (CS)
“Nune is an outstanding software engineer and individual. Hiring her and working together with her for one year was a true pleasure. She is of course an extremely skilled engineer, smart and dedicated, but most importantly she is a true team player, communicator and mediator. In fact in her own quiet, effective and modest way she helped to solve many difficult engineering problems with the team. I certainly miss working with her and can only give her my fullest recommendation.”
— Matthias Hofschen, Engineering Manager at HiveMQ
“I had the pleasure of working together with Nune in the same team at Amadeus Data Processing GmbH supporting critical airline inventory applications.
She is extremely organized, reliable and computer literate, alongside having excellent communication skills. I was impressed by her knowledge of various programming languages during one of the trainings we had together. She has very strong knowledge in the big data field and practical skills related to Hadoop and MongoDB. What I really liked about her was that she tries to understand things in detail and always digs deep into them.
As a person she is very friendly and always talks in a good tone. I wish her all the best in her future career ventures and private life.”
