macunha1
Matheus Cunha
DevOps Engineer at Freeletics Full-time
Munich, Germany
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994.8
CodersRank Rank
Top 1%
Top 1
HCL
HCL
Developer
Germany
Top 5
Lua
Lua
Developer
Germany
Top 5
Nix
Nix
Developer
Germany
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
Freeletics Full-time
Jan 2020 - Present (2 years 7 months)
Munich Area, Germany Current workspace
Currently Matheus Cunha supports the Freeletics Full-time

Matheus Cunha's scores will be added to this company.

DevOps Engineer
devops terraform kubernetes
Datenworks Full-time
Jan 2019 - Dec 2019 (11 months)
São Paulo Area, Brazil
Tech Lead - Cloud & Data Engineering
Data and analytics specialists focused on Big Data, Cloud & Data Engineering, Data Governance, Information Security.

- Designed a cloud-native extreme low-cost RPA system for Clipping Service, that does OCR of Brazilian journals and magazines, using NLP. It tracks events around the country and has the biggest news/media dataset in Brazil;
- Worked as a consultant in a digital transformation initiative inside Sem Parar (leader in electronic toll payment solutions in Brazil) to implement agile culture and DevOps inside IT
development teams;
- Built a Data Lake using Google Cloud Platform services and mostly Kubernetes (GKE) for Reclame AQUI;
- Designed, developed, and implemented a low-cost Serverless Data Lake using AWS for Serasa Experian (the biggest Brazilian consumer credit reporting company).
AWS cloud devops google cloud Kubernetes serverless aws aws lambda docker ci/cd
Loggi Full-time
Mar 2018 - Dec 2018 (9 months)
São Paulo Area, Brazil
Site Reliability Engineer
Loggi is the hottest logistics startup, using low-cost transports to
reduce the last-mile delivery cost.

Re-engineered their infrastructure and guaranteed the whole operation in a team of three people, having many responsibilities, inside a company that grew by 367% in 2018 and became a unicorn latter in 2019. The outcome of the infrastructure re-engineering was a higher uptime, followed by better security and cost reduction.

Took advantage of the best in each cloud, using a multi-cloud approach (GCP, AWS, and Azure at the same time). Also designed a Lean operation with automation, agile development iterations and feature release through a Canary CI/CD pipeline, and self-service ops.
AWS Azure cloud

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