Eimantas is available for hire
Hire EimantasEimantas Genciauskas
Verified Expert in Engineering
DevOps Engineer and Developer
Location
Vilnius, Lithuania
Toptal Member Since
August 5, 2021
Eimantas is a DevOps/SRE engineer and back-end developer with over four years of experience working with AWS as a certified architect. Adept at working with various AWS services and principles, he's handled projects of varying sizes and complexities—from single containerized APIs to highly available ones—including scalable and fault-tolerant applications in Kubernetes. Eimantas emphasizes security, compliance, and access management, ensuring projects meet the highest standards.
Portfolio
Skyloop Digital Ltd
DevOps, Amazon Web Services (AWS), Laravel, Kubernetes, DigitalOcean, Databases...
Reorg
Django ORM, Python, AWS ELB, Elasticsearch, Kibana, Elastic APM...
Fruitful Inc.
Amazon Web Services (AWS), CI/CD Pipelines, Amazon Virtual Private Cloud (VPC)...
Experience
Availability
Part-time
Preferred Environment
Python, GitLab, Amazon Web Services (AWS), Kubernetes, AWS Cloud Development, Pulumi, Amazon RDS, DevOps, Amazon Elastic Container Service (Amazon ECS), TypeScript
The most amazing...
...infrastructure I've architected and implemented is a highly scalable EKS cluster, hosting 30 highly available websites and serving half a million users.
Work Experience
DevOps Engineer
2022 - 2023
Skyloop Digital Ltd
- Architected and implemented AWS cloud infrastructure that supported over 400,000 users, adding value by creating a reliable, scalable, and highly available platform that met the needs of a large user base.
- Created dynamic CI/CD pipelines for 27 websites, utilizing Flagger canary deployments to Kubernetes. This approach provided faster and more reliable software releases, minimized downtime, and increased overall system uptime.
- Successfully migrated 27 websites from Digital Ocean to AWS Aurora and EKS cluster without downtime. This migration enhanced the reliability and scalability of the websites, improving the user experience and increasing customer satisfaction.
Technologies: DevOps, Amazon Web Services (AWS), Laravel, Kubernetes, DigitalOcean, Databases, Grafana, Elastic Load Balancers, NGINX, Flagger, Kubernetes Event-driven Autoscaler (KEDA), Prometheus, Amazon EKS, Amazon Aurora, AWS Certified Solution Architect, Web Architecture, PostgreSQL, Docker, GitHub, Helm, Amazon RDS, Redis, Amazon Virtual Private Cloud (VPC), Amazon GuardDuty, Amazon CloudWatch, CI/CD Pipelines, AWS Auto Scaling, Cloudflare, AWS Cloud Architecture, TypeScript, AWS Config, AWS DevOps, Site Reliability Engineering (SRE), Infrastructure as Code (IaC)
Senior Back-end Developer
2021 - 2023
Reorg
- Architected a scalable microservice infrastructure on AWS for the high-yield bond and leveraged loan markets platform, resulting in increased system stability and faster development cycles.
- Architected and implemented analysis, data entry, aggregation, and reporting features for the platform from scratch using Python Django, significantly improving user experience and increasing engagement with the platform.
- Developed a robust data processing and management system to handle the complex and diverse nature of financial data in the high-yield bond and leveraged loan markets platform. Designed efficient data models, validation, and normalization processes.
Technologies: Django ORM, Python, AWS ELB, Elasticsearch, Kibana, Elastic APM, Amazon Elastic Container Service (Amazon ECS), Amazon Simple Queue Service (SQS), AWS Lambda, Amazon Aurora, Amazon CloudFront CDN, AWS Cloud Development Kit (CDK), GitHub, APIs, REST, Microservices, Amazon CloudWatch, AWS CodeDeploy, AWS CodePipeline, AWS CodeBuild, Amazon Simple Notification Service (Amazon SNS), Amazon S3 (AWS S3), AWS IAM, Flake8, Poetry, Docker, Docker Compose, Redis, Nameko, Django REST Framework, Unit Testing, Zappa, GitLab, GitLab CI/CD, PostgreSQL, Software Development, AWS Cloud Architecture, ECS, Infrastructure as Code (IaC)
Senior DevOps Engineer | AWS Admin
2022 - 2022
Fruitful Inc.
- Architected and deployed AWS infrastructure containing applications running on ECS, event-driven workflows with AWS Lambda, an API gateway, and AWS Step Functions, which enabled efficient and reliable deployment, automated workflows, and fast new feature creation.
- Implemented tight security controls with the AWS security stack, including AWS Config, Amazon GuardDuty, AWS WAF, AWS Security Hub, AWS CloudTrail, and notifications to Slack, enabling real-time threat detection, prevention, and automated responses to threats.
- Created CI/CD pipelines for deployments with Pulumi to different parts of applications and integrations with external providers, resulting in faster and more reliable software releases with enhanced security controls.
Technologies: Amazon Web Services (AWS), CI/CD Pipelines, Amazon Virtual Private Cloud (VPC), Amazon Simple Queue Service (SQS), GitLab CI/CD, AWS Lambda, Docker, Cloud, Load Balancers, AWS Auto Scaling, Auth0, New Relic, MongoDB Atlas, Pulumi, Amazon API Gateway, Web Architecture, GitHub, ECS, Amazon RDS, Redis, Amazon GuardDuty, Amazon CloudWatch, Elastic Load Balancers, Amazon Aurora, AWS ELB, AWS IAM, Python, GitLab, PostgreSQL, AWS Cloud Architecture, Microservices, TypeScript, AWS Config, Docker Compose, AWS DevOps, Site Reliability Engineering (SRE), Infrastructure as Code (IaC)
DevOps Engineer
2022 - 2022
Crater.Club
- Successfully migrated a Django application from a single EC2 instance to an autoscaled, highly available ECS environment with Datadog monitoring, enabling applications to scale automatically to meet changing demands and reduce the risk of downtime.
- Implemented CI/CD pipelines on GitLab that incorporated Docker image caching, infrastructure deployments, and blue/green deployments, enabling faster and more reliable delivery of new features, reducing deployment errors, and minimizing downtime.
- Shared knowledge and best practices with team members to optimize a Django API and database queries, improving application response times and reliability.
Technologies: Amazon Web Services (AWS), Datadog, DevOps, Django, Python, ECS, AWS Cloud Architecture, GitLab CI/CD, Amazon CloudFront CDN, Amazon RDS, Redis, Docker, Web Architecture, Amazon Virtual Private Cloud (VPC), CI/CD Pipelines, AWS Auto Scaling, Elastic Load Balancers, Amazon Aurora, PostgreSQL, Software Development, TypeScript, Django ORM, Docker Compose, AWS DevOps, Infrastructure as Code (IaC)
DevOps Engineer
2021 - 2022
SuperVisas
- Developed reusable component-based Pulumi infrastructure code that streamlined the infrastructure deployment process, enabling the quick and easy provision of AWS resources, integrating with Slack for notifications and monitoring with Datadog.
- Designed and deployed complex infrastructure and databases that synchronized data between AWS and AWS China, ensuring smooth and seamless data exchange across regions.
- Optimized CI/CD pipelines using GitHub Actions, enabling faster testing, building, and deployment of application code and cloud infrastructure. It reduced manual errors and increased the speed and efficiency of the development workflow.
Technologies: Pulumi, Django, GitHub, China, Amazon Web Services (AWS), Web Architecture, Docker, ECS, Amazon RDS, Redis, Amazon Virtual Private Cloud (VPC), Amazon CloudWatch, CI/CD Pipelines, AWS Auto Scaling, Elastic Load Balancers, Amazon Aurora, PostgreSQL, AWS Cloud Architecture, TypeScript, Docker Compose, AWS DevOps, Site Reliability Engineering (SRE), Infrastructure as Code (IaC)
DevOps Engineer
2021 - 2021
Nas Academy
- Successfully architected and implemented a microservice architecture on AWS using Kubernetes, NGINX, Flagger, Prometheus, and Grafana, improving scalability, reliability, and system resilience.
- Developed and managed CI/CD pipelines for the microservices, resulting in faster and more efficient code deployment and reduced manual intervention.
- Implemented automated testing and monitoring processes, improving code quality, early detection of issues, and reduced time to resolution.
- Led cross-functional teams to troubleshoot and resolve complex system issues, resulting in improved system availability and reduced downtime.
Technologies: Amazon Web Services (AWS), Kubernetes, Helm, cdk8s, AWS Cloud Development, MongoDB, Python, Django, Node.js, Web Architecture, Docker, Amazon RDS, Amazon Virtual Private Cloud (VPC), CI/CD Pipelines, AWS Auto Scaling, Elastic Load Balancers, Flagger, Amazon Aurora, Amazon EKS, Prometheus, Grafana, Amazon CloudFront CDN, Amazon CloudWatch, AWS IAM, Amazon API Gateway, AWS Lambda, GitHub, AWS ELB, AWS NLB, AWS Certificate Manager, Amazon S3 (AWS S3), AWS CloudFormation, PostgreSQL, AWS Cloud Architecture, Microservices, Datadog, TypeScript, Docker Compose, Infrastructure as Code (IaC)
DevOps and Back-end Engineer
2019 - 2021
Corner Case Technologies
- Led Aggredium's development team to launch a standardized, proprietary database that enabled the implementation of universal screening and financial, market data, and legal analysis on bond covenants.
- Integrated IaC paradigms to development processes and created reusable Iac and CI/CD templates to jumpstart new projects. This increased development efficiency, consistency, and security while reducing costs and minimizing manual errors.
- Developed several key projects, including MyHelper, Inform Debtor, etc., using Python and Django. The projects provided high-quality solutions to its clients, leading to increased customer satisfaction and trust in the company's services.
Technologies: Django, Python, GraphQL, GitLab, GitHub, Elasticsearch, Kibana, Docker, Amazon Web Services (AWS), Web Architecture, ECS, Amazon RDS, Redis, AWS Lambda, Amazon Virtual Private Cloud (VPC), CI/CD Pipelines, AWS Auto Scaling, Elastic Load Balancers, Prometheus, Amazon Aurora, Data Migration, Terraform, GitLab CI/CD, AWS NLB, Amazon S3 (AWS S3), AWS IAM, AWS ELB, Flake8, Django REST Framework, APIs, Redis Cache, Redis Queue, Celery, Nameko, Amazon CloudWatch, Amazon Simple Queue Service (SQS), AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), Amazon CloudFront CDN, AWS CloudFormation, PostgreSQL, Software Development, AWS Cloud Architecture, Microservices, Django ORM, Elastic APM, Docker Compose, Site Reliability Engineering (SRE), Infrastructure as Code (IaC)
Developer
2018 - 2019
Osos
- Developed a Django-based web back end for the second-largest national diary system in Lithuania.
- Planned and developed from end to end the features for a desired functionality.
- Optimized APIs and the database schema which improved the response time by 2x.
Technologies: Python, Django, MongoDB, NGINX, Web Architecture, PostgreSQL, Software Development, Django ORM, Docker Compose
Experience
Aggredium
https://www.aggredium.com/Aggredium is the leading independent provider for fundamental financial data for both private and public companies in European sub-investment grade credit.
I developed a standardized, proprietary database for them so they could implement universal screening and perform financial, market data, and legal analysis on bond covenants.
I developed a standardized, proprietary database for them so they could implement universal screening and perform financial, market data, and legal analysis on bond covenants.
Dating Websites
Worked with 30 different dating websites used by over 400,000 users and managed by the master admin platform. I worked as a DevOps engineer and migrated all websites from Digital Ocean to AWS and Kubernetes. Had architected the databases based on different loads and used RDS, Aurora, and Aurora Serverless. All infrastructure was implemented using Pulumi IaC tool.
Skills
Languages
Python, TypeScript, GraphQL, PHP
Frameworks
Django, Laravel, Nameko, Django REST Framework
Tools
GitLab, GitHub, GitLab CI/CD, Amazon CloudFront CDN, Amazon Virtual Private Cloud (VPC), AWS CodeDeploy, Amazon CloudWatch, Grafana, Amazon EKS, Amazon Elastic Container Service (Amazon ECS), AWS IAM, AWS CloudFormation, NGINX, Kibana, Helm, Amazon Simple Queue Service (SQS), Terraform, Fastlane, Auth0, MongoDB Atlas, AWS Directory Service, AWS Key Management Service (KMS), AWS ELB, AWS Cloud Development Kit (CDK), AWS CodeBuild, Amazon Simple Notification Service (Amazon SNS), Docker Compose, Celery
Paradigms
Web Architecture, DevOps, Microservices, REST, Unit Testing
Platforms
Docker, Amazon Web Services (AWS), Kubernetes, AWS Lambda, New Relic, DigitalOcean, Azure, Google Cloud Platform (GCP), AWS STS, AWS NLB
Storage
PostgreSQL, Databases, Amazon Aurora, Amazon S3 (AWS S3), MongoDB, Elasticsearch, Datadog, Redis, Amazon DynamoDB, Redis Cache
Other
Software Development, AWS Cloud Architecture, ECS, Amazon RDS, CI/CD Pipelines, AWS Auto Scaling, Elastic Load Balancers, AWS Certified Solution Architect, AWS Config, AWS DevOps, Site Reliability Engineering (SRE), Infrastructure as Code (IaC), cdk8s, AWS Cloud Development, Pulumi, AWS CodePipeline, Amazon GuardDuty, Amazon API Gateway, Flagger, Prometheus, Data Migration, Cloudflare, Algorithms, China, Trusted Advisor, Amazon Macie, SonarCloud, Cloud, Load Balancers, Kubernetes Event-driven Autoscaler (KEDA), Amazon DocumentDB, AWS Database Migration Service (DMS), Amazon Inspector, Amazon Detective, Elastic APM, APIs, Flake8, Poetry, AWS Certificate Manager
Libraries/APIs
Node.js, Django ORM, Zappa, Redis Queue
Education
2017 - 2021
Bachelor's Degree in Computer Science
Vilnius Tech | Vilnius Gediminas Technical University - Vilnius, Lithuania
Certifications
APRIL 2023 - APRIL 2026
AWS Certified Security - Specialty
Amazon Web Services
MARCH 2023 - MARCH 2026
AWS Certified Database - Specialty
Amazon Web Services
APRIL 2022 - APRIL 2025
AWS Certified DevOps Engineer Professional
AWS
MARCH 2021 - MARCH 2024
AWS Solutions Architect Professional
Amazon Web Services
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