Hire Deeply Vetted Google Compute Engine (GCE) Developer

- Highly skilled and experienced Software Engineer with a strong background in computer science and automated control systems. - Proficient in a wide range of programming languages and technologies, including Java, Python, Ruby, and Node JS. - Extensive experience in designing and implementing software architectures, with a focus on cloud solutions and DevOps practices. - Strong knowledge of methodologies and frameworks such as TOGAF, Agile, and SCRUM. - Experienced in working with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Compute Platform. - Skilled in data analysis, data modeling, and data integration, with expertise in Big Data and IoT solutions. - Demonstrated ability to lead and manage teams, conduct architecture assessments, and provide improvement recommendations.

• 15 years of proven experience in IT industry • 7 years experience as Solution Architect, 3 years of which in a position of Senior Architect • 12 years of experience in Java, Spring Boot, Micro Services and AWS, Google, Azure Cloud for deployment. • Worked with Ant and Maven and Gradle Build tools in Java. • Experience in designing, developing and overseeing the implementation of solutions that improve the stability, scalability, availability and latency • Expertise in steaming tools such as Kafka • Experience in MySQL, Cassandra, PostgreSQL • Automated environments setup for Developers, Staging for SQA and Production for customers • Extensive experience with Continuous Integration Tools like Jenkin, Hudson, circleci, TeamCity, Bamboo, GitLab and configuring CI/CD with unit test on builds • Experience with AWS API gateway, Lambda functions, Elastic Load Balancers, VPC, Security groups, Jump Servers, Route53, Cloud Watch and servers Auto Scaling • Worked with different Bug Tracking Tools like Remedy, Jira, ServiceNow and Clear Quest. • Ability in development and execution of XML, Shell Scripts and Perl Scripts. • Experience in cloud cost optimization, resources cleanup, automated services scaling based on load and ensuring latest security standards • Experience in linux/Unix Systems • Worked on SDLC Methodologies like Agile, Waterfall.

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.

• 24-year experience as System engineer / DevOps with experience in network infrastructures management field across different OS (Linux, Windows). • Proficient with infrastructure clustering for handing high loads and high availability. Experience with building CI/CD pipelines. • Hands on experience with containerization using Docker, automated systems deployment using Ansible, infrastructure monitoring, centralized logging, Kubernetes. • Available: ASAP. • No scheduled vacations within next 3 months.

- 6+ years of work experience in a variety of exciting projects, working at all stages of the development cycle. - Excel at working on modular systems and using current development practices to assure that every project works in the most efficient manner and is adaptive to any new enhancements required.