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AWS Cloud Architect; Implementing highly available fault tolerant systems on AWS; DevOps

verfügbar ab
01.10.2017
verfügbar zu
100 %
davon vor Ort
100 %
Städte
München
50 km
Remote
10 km
Kontaktwunsch

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Position

Kommentar

I am a AWS Certified Solutions Architect and developer with over 15 years experience in designing and implementing scalable and fault tolerant server-side software and browser frontends. Since 5 years I am working exclusively with AWS cloud platform to build, deploy and manage variety of systems like secure medical platform, web crawler, batch and stream processing pipelines for analyzing user behavior and log events.

Relevant Experience

  • Designing, implementing and deploying scalable, highly available, and fault tolerant systems on AWS Cloud
  • Implementing cloud infrastructure security, governance and compliance
  • Deploying serverless components for async data processing and infrastructure operations
  • Architecture and development: J2EE applications and polyglot systems
  • Machine learning: user behavior-based fraud detection, intent classification, extracting user interests from behavior analysis
  • Big Data: batch and stream data processing with Hadoop, Storm and AWS Kinesis
  • DevOps: provisioning, scaling, automation and configuration management

Projekte

02/2017 - Heute

3 Monate

AWS/Software Architect

Rolle
AWS/Software Architect
Kunde
ProSiebenSat.1 Media SE
Projektinhalte
  • Decomposition of a large legacy monolithic application for contract/license management and accounting into manageable subsystems
  • Domain Driven Design, Event Driven Architecture, Microservices
  • AWS, Hybrid Cloud
  • Vendor selection

 

Tools:

AWS, Informix, Java/JEE, Kafka, Spark, UML

04/2015 - 10/2016

1 Jahr 7 Monate

AWS Architect, DevOps Consultant

Rolle
AWS Architect, DevOps Consultant
Kunde
Siemens AG
Projektinhalte
  • Defining and implementing enterprise best practices for provisioning and managing AWS infrastructures.
  • Implementing governance processes, compliance and auditing system for AWS accounts.
  • Evaluating and selecting appropriate tools for infrastructure automation.
  • Managing 12 AWS environments.
  • Implementing serverless Lambda-based components for OPS/DevOps tasks.

 

 

Tools:

Python, Boto, Terraform, Ansible, VPC, Lambda, EC2, S3, ELB, API Gateway, CloudFormation, OpsWorks, CodeDeploy, RDS, REST, CloudWatch, CloudTrail, AngularJS, ChartJS, Flask, Oracle RDS, MSSQL RDS, Java, JEE, IBM WebSphere, DB2, Direct Connect, Hybrid Cloud

 

Projekthistorie

from 05.2015 SofaDoc GmbH 

 

Role: AWS Architect, Full-Stack Developer

 

  • Architecting and implementing medical cloud platform.
  • Selecting appropriate AWS services to speeding-up application delivery.
  • Implementing agile DevOps processes.
  • Polyglot architecture: auto-scalable backend with additional serverless Lambda-based components.
  • Implementing AWS security best practices, fully encrypted data storage and transfer.
  • Cost-optimizations.

 

Tools:

Python, Terraform, Boto, Ansible, MongoDB, JavaScript, AngularJS, VPC, Lambda, SNS, S3, EC2, ELB, ALB, API Gateway, CloudFront, Heroku, CloudFlare, BugSnag, Twilio WebRTC, RDS, REST, CloudWatch, CloudTrail


2013 - 2015 Cliqz GmbH 

 

Roles: Architect, Coach, Data Cruncher

 

  • Implementing fault-tolerant web crawler (running on 500 servers).
  • Implementing automated provisioning of AWS resources.
  • Processing of log-data with AWS Elastic Map Reduce and S3.
  • Implementing elastic, scalable and highly-available ec2 infrastructure with pricing.
  • Coaching new employees to provision AWS resources and implement applications on AWS Cloud.

 

Tools:

Python, Java, Boto, Hadoop, ElasticSearch, Ansible, Chef, scikit-learn, MongoDB, Pandas, Lucene, JavaScript, AngularJS, Map Reduce, CloudFormation, Ansible, SaltStack, EC2, S3, SQS, SNS, VPC, CloudFormation, Amazon Kinesis, REST


2011 - 2013 Insparx GmbH 

 

Roles: Architect, Developer, Data Cruncher

 

  • Implementing system for user activity data collection, aggregation and searching.
  • Designing and implementing machine-learning tools for early detection of suspicious user behavior and scammers.

 

Tool:

Boto, Java/J2EE, Python, scikit-learn, Hypertable, MongoDB, Ansible, Chef, Pandas, JavaScript, AngularJS, EC2, S3, Elastic Map Reduce, REST


2010 - 2011 ActiveCV 

 

Roles: Architect, Developer

 

  • Implementing machine learning based search and matching for job search.
  • Estimating professional profile based on search behavior.

 

Tools:

Python, Fabric, Boto, Lucene, Java, MongoDB, JavaScript, AngularJS


2001-2011 European Patent Office, PwC, UBS AG, Degussa AG 

 

Roles: Architect, Developer

 

Various J2EE projects

 

Tools and Languages:

Java, J2EE, Oracle, JSF, Python, JavaScript, WebSphere Application Server, WebSphere Portal Server, WebSphere WCM

Kompetenzen

Sprachkenntnisse
Deutsch
Englisch
Russisch
Ukrainisch

Datenbanken
DynamoDB
Hypertable
LevelDB
MongoDB
MySQL
Oracle
PostgreSQL
Redis

Betriebssysteme
Debian
Mac OS
Ubuntu
Windows

Programmiersprachen
Java
JavaScript
LuaScript
Objective-C
Python
Scala
Swift

Schwerpunkte
Ansible
AWS Architecture
Big Data
Hadoop, Amazon Elastic Search, MapReduce, Stream Processing, Storm
Cloud Infrastructure
Amazon Web Services, Heroku, Google App Engine
Coaching
Cloud Infrastructure, Development Process, Testing
Data Modeling
SQL, NoSQL
DevOps
Terraform, CloudFormation, Chef, Ansible, SaltStack, Fabric
MapReduce
Elastic Map Reduce, S3
NoSQL Databases
Key-Value Stores, Redis, MongoDB
REST
Scalability
General + Cloud
Search
Lucene, Elastic Search
Software Architecture
J2EE, Polyglot Architectures
Terraform
Web Development
Full Stack

Bemerkungen

Certifications

  • AWS Certified Solutions Architect
  • Sun Certified Enterprise Architect for the Java Platform (EE 5)
  • IBM WebSphere Portal V6.0, V5.0, IBM WebSphere Application Server 6.0
  • IBM Workplace Web Content Management 6, 2.5 (5.1)
  • UML OCUP Intermediate
  • SJCP(J2SE 1.4), SJCD (J2SE 1.4), SJCWCD (J2EE 1.4), SJCBCD (J2EE 1.3)

Work experience

 Designing, implementing and deploying scalable, highly available, fault tolerant and secure systems on AWS Cloud

  • Implementing cloud infrastructure security, governance and compliance
  • Serverless/Microservices architecture/development
  • JEE, Python applications and polyglot architecture/development
  • Machine learning: user behavior-based fraud detection, intent classification, extracting user interests from behavior analysis
  • Big Data: batch and stream data processing
  • DevOps: provisioning, scaling, automation

Applicable Roles

 Architect

  • Senior Developer
  • AWS Consultant
  • Data-Cruncher and Machine Learning Developer

Relevant Certifications

  •  AWS Certified Solutions Architect
  • Java EE Enterprise Architect

 


Aus- und Weiterbildung

09/1996 - 07/2001

4 Jahre 11 Monate

Radiophysics

Abschluss
Diplom Physiker
Institution, Ort
Taras Shevchenko National University of Kyiv
Schwerpunkt

Optics, Laser Technology

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