Summary
Overview
Work History
Education
Skills
Timeline
Generic

Emil Seid

Ashburn,VA

Summary

Senior DevOps Engineer with extensive expertise in designing, coding, and supporting applications within AWS cloud environments. Proficient in a diverse array of technologies, including AWS, PostgreSQL, MySQL, Oracle, Java, Next.js, Node.js, Jenkins, GitHub, Cloud Security, Grafana, Prometheus, Redshift, Docker, and Kubernetes. Demonstrated success in integrating both out-of-the-box and custom AWS tools to drive efficiency improvements and achieve positive project outcomes. Committed to leveraging technical skills and innovative solutions to enhance operational performance and deliver exceptional results.

Overview

12
12
years of professional experience

Work History

Lead DevOps Engineer

Intrivo Diagnostics
01.2022 - Current
  • Architected and deployed Kubernetes-based infrastructure on AWS EKS, ensuring scalability and high availability for AI-driven services.
  • Set up NLP inference servers in Kubernetes, optimizing deployment for real-time conversational AI processing.
  • Deployed and managed FastAPI-based microservices in K8s, enabling seamless communication between AI models and internal applications across development, staging, and production environments.
  • Automated deployment pipelines using CI/CD with GitHub actions for consistent and efficient service deployments.
  • Implemented timebound access to production for contractors
  • Configured service discovery and load balancing for AI applications using Kubernetes Ingress, Nginx.
  • Deployed and maintained Tokkio and ACE AI services in Kubernetes, ensuring GPU-accelerated workloads run efficiently in containerized environments.
  • Spearheaded the use of Helm for Kubernetes package management, ensuring streamlined deployments and rollbacks.
  • Integrated PagerDuty with Datadog and other monitoring tools to automate incident alerting, escalation, and on-call team notifications.
  • Integrated and maintained Sentry for distributed microservice error monitoring, enabling proactive incident detection and faster resolution.
  • Written Dockerfiles for backend and front end applications for containerization with Docker and Kubernetes. Managed CI/CD pipelines using Helm and Git Actions for better workflow and reliability.
  • Set up Datadog from scratch across all environments using Helm, effectively implementing Application Performance Monitoring (APM), logging, monitoring, and metrics to provide comprehensive visibility into application performance, streamline log management, and enhance real-time monitoring capabilities.
  • Utilized Terraform for infrastructure-as-code practices, automating and versioning infrastructure changes across multiple AWS services.
  • Designed and implemented a comprehensive disaster recovery strategy, ensuring minimal downtime and data loss.
  • Optimized AWS costs by strategically purchasing Reserved Instances and enrolling in Savings Plans.
  • Integrated Grafana with Redshift to create dynamic dashboards that provide real-time insights into business KPIs, drawing data directly from the Redshift data warehouse.
  • Strategically implemented UTM parameters for tracking marketing campaigns across various platforms. This enabled precise measurement of campaign effectiveness and contributed to data-driven decision-making.
  • Led email marketing initiatives, focusing on crafting engaging content and ensuring high deliverability. Implemented best practices for maintaining domain reputation, which led to a significant increase in open and click-through rates.
  • Leveraged Zapier to automate workflows between marketing platforms and CRM systems, ensuring seamless data synchronization and efficiency in lead nurturing processes.
  • Deployed Prometheus within the Kubernetes cluster using the Prometheus Operator to monitor node and pod metrics, ensuring optimal resource allocation and identifying potential bottlenecks in the cluster and configured Prometheus Alertmanager to generate alerts based on specific Kubernetes metrics.
  • Configured NVIDIA ACE AI for precise lip-syncing, ensuring speech animations match voice outputs in real-time AI avatars.
  • Implemented canary deployment strategies for safer releases.
  • Orchestrated containerized applications using Docker, AWS EKS and utilized Kops for Kubernetes clusters in AWS.
  • Managed relational databases using RDS PostgreSQL and leveraged Redshift for data analytics.
  • Implemented Kafka for real-time data streaming and utilized OpenSearch for data indexing.
  • Managed a team of engineers to implement a comprehensive DevOps strategy, enhance CI/CD pipeline efficiency, and accelerate feature deployment through cross-team collaboration.
  • Led the implementation of infrastructure-as-code and cloud-native technologies, significantly improving system scalability and resilience. Oversaw the integration of advanced monitoring and security tools to ensure robust, real-time system oversight and strengthened security across all operations.
  • Played an essential role in ensuring that all technological processes, systems, and infrastructure were compliant with HIPAA standards. This involved implementing and overseeing robust security measures, data protection protocols, and privacy safeguards to maintain the confidentiality and integrity of sensitive health information.
  • Enhanced security by integrating CrowdStrike for endpoint protection and utilized AWS Inspector for security assessments.
  • Set up self-hosted GitHub Action runners for faster CI/CD processes.
  • Leveraged AWS S3 for data storage and backup, and set up AWS CloudFront distributions.
  • Configured RDS Proxy for Amazon RDS databases and integrated AWS CloudTrail and GuardDuty for governance and threat detection.
  • Architected infrastructure solutions using Terraform and AWS CloudFormation and designed CI/CD pipelines using AWS tools.
  • Implemented monitoring solutions with Datadog and AWS CloudWatch and addressed infrastructure issues across AWS accounts.
  • Participated in software design discussions and evaluated new AWS tools.
  • Deployed and maintained LiveKit agents for AI-driven voice applications, customizing voice models with ElevenLabs and Deepgram to deliver natural, real-time conversational experiences.
  • Ensured HIPAA and SOC 2 Type II compliance by implementing data protection controls, access policies, and privacy safeguards for sensitive data.
  • Designed and enforced IAM policies, roles, and permission boundaries, implemented MFA enforcement, and developed Okta SSO-integrated onboarding/offboarding workflows.
  • Optimized AWS costs via strategic Reserved Instance purchases and Savings Plan commitments.
  • Led recurring log review sessions, identifying errors across applications, creating actionable tickets, and holding developers accountable for remediation.
  • Strengthened security posture with AWS Inspector, GuardDuty, CrowdStrike, and CloudTrail monitoring for governance and threat detection and Owned vulnerability management meetings, reviewing AWS Inspector findings, prioritizing critical issues, and assigning remediation tasks with clear guidance on Docker image security fixes.
  • Built and tuned Grafana dashboards integrated with Amazon Redshift, providing real-time business KPI insights.
  • Led AWS DMS migrations from RDS PostgreSQL to Redshift for large-scale data analytics workflows.

DevOps Engineer

LemonBrew
06.2020 - 01.2022
  • Containerized applications using Docker and deployed them to ECS Fargate.
  • Automate build and deployment process with Github actions, HELM.
  • Enabled Slack notifications for deployments across the environments.
  • Set up a Firewall in the internet gateway to protect the data center from inbound threats.
  • Created ECS cluster for dev and prod environments and deployed Docker application on ECS clusters.
  • Implemented application load balancer with path-based routing to forward traffic to different applications.
  • Securely stored environment variables in PARAMETER STORE using secure string.
  • Created Lamda function with API gateway for domain services.
  • Implemented CICD pipeline for build and deploy using Code pipeline.
  • Created custom sized VPC, subnets, EC2 instances, ELB, Security Groups.
  • Utilize Cloud Watch to monitor resources for ECS tasks.
  • Used IAM for creating roles, users, groups.
  • Designed Virtual Private Cloud (VPC) with multiple public and private subnets and routed the incoming traffic to public subnet through Internet Gateway (IGW) and to the private subnet through the NAT Gateway.
  • Installation of Docker over Ec2 instances (Ubuntu & Redhat) for lower environments, write up DockerFiles, build the images and publish and pull the images from ECR, then followed by run the applications over containers.
  • Involved different development teams and multiple simultaneous software releases.
  • Design pipelines with CI /CD methodologies using Code pipeline.
  • Responsible for using AWS Cloudformation and AWS Command Line Interface for deploying and operating AWS services specifically VPC, EC2, S3, EBS, IAM, ELB, Cloud Formation and Cloud Watch.

DevOps Engineer

Kaiser Permanente
06.2018 - 06.2020
  • Supported the application development pipeline using DevOps tools like Git, Maven, Jenkins, Docker, and Kubernetes.
  • Developed build scripts with Maven on Jenkins and managed source code with GIT.
  • Implemented Jenkins configurations and maintained AWS security groups.
  • Worked on Maven configurations and performed application pod upgrades in Kubernetes.
  • Utilized Cloud Watch for AWS resource monitoring and wrote CloudFormation templates for AWS resource creation.
  • Managed AWS infrastructure with Ansible and Terraform.
  • Responsible for understanding and supporting the application team's development pipeline to make faster builds and deployments, which has been implemented using different DevOps tools like Git, Maven, Jenkins, Nexus, Docker, Ansible, Kubernetes.
  • Developed and Maintained build scripts using Maven on Jenkins to create application builds from source code repository GIT branches strategy and publish artifacts over Nexus servers.
  • Implemented Jenkins Master and slave configuration from the scratch level onwards in terms of serving the build and pipeline jobs through labeling static and dynamic nodes configuration.
  • Promote plugins from the update center to Jenkins master and follow the best practice while performing the Jenkins upgrade activities.
  • Maintaining the Security groups and setting up the rules for instances that are associated to the security groups.
  • Working on Maven configuration file pomxml, incorporate the dependencies and plugins to perform the build lifecycle functionalities on the given source code.
  • Performed the application pods upgrade through a rolling update, checked the status and history of pods while performing the upgrades, and incase of failure to launch pods revert the changes over Kubernetes cluster.
  • Utilize Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB Clusters, Dynamo tables, EBS volumes.
  • Expertise to writing deployment service ConfigMap, PV claim, and ingress YAML files in terms of maintaining the strategy of microservice containerization for stateful and stateless applications through Kubernetes (EKS).
  • High Availability designed using Elastic load balancer (ELB&ALB), AutoScaling for Web servers with Scale in and Scale-out automatically also isolated environment by having security groups and NACL across subnets for EC2 instance’s fault tolerant and highly availability.
  • Managed Amazon Web Services (AWS) infrastructure with automation and orchestration tools such as Ansible and Terraform.
  • Developed AWS Cloud Formation templates to create custom-sized VPC, subnets, EC2 instances, ELB, and Security Groups.
  • Created S3 buckets in the AWS environment to store files and backup tars, sometimes which are required to serve static content for a web application.
  • Possess good knowledge in creating and launching EC2 instances using AMI's of Linux, Ubuntu, RHEL.
  • Written cloud formation templates in JSON to create custom VPC, subnets, NAT to ensure successful deployment of web applications.
  • Written Cloud formation templates for creation/updates of Security Groups in the AWS Resources.
  • Created EBS volumes for storing application files for use with EC2 instances whenever they are mounted to them, Capture the snapshot of volumes to recover in case of application data crash.
  • Deployed MySQL database on EKS in AWS using deployment for failover replica.
  • Written Templates for AWS infrastructure as a code using Terraform to build staging and production environments.
  • Technologies/Tools Involved: GIT/GitHub, Linux (Redhat,Ubuntu), AWSServices, Ansible, Maven, Docker, Docker-Compose , Kubernetes(Kubeadm, EKS), GCP, SonarQube, Nexus, Openshift, NFS, Nginx, Apache Tomcat, Dynatrace, Terraform

DevOps Engineer

Countrywide Financial
01.2016 - 05.2018
  • Responsible for ensuring the reliability, scalability, and high-grade security of highly available, by using cutting-edge open-source technologies.
  • Implemented and maintaining configuration management tool Ansible from scratch level.
  • Adding new nodes to ansible master through SSH authentication, preserve the inventory file to manage nodes, create new roles in terms of reuse the ansible playbooks.
  • Developed Python scripts for automation purpose.
  • Build and run the docker images to launch containers, create docker AMI's for the Jenkins build dynamic nodes in order to run the Jenkins pipeline/scheduler jobs.
  • Collaborate closely with a cross-functional team to develop and implement automated processes for routine and repetitive administration tasks.
  • Designed and demonstrated several Proof of Concepts Kubernetes platform.
  • Oversee the design and implementation of availability, scalability, and performance plans for the AWS managed service environment.
  • Customize docker images through docker automation process, running the containers, data volumes share in between the containers, share data between the localhost to containers and NAS storage to on-prem servers.
  • AWS Lambda function development/serverless monitoring.
  • Handled multiple Linux/CentOS servers for application deployment and management.
  • Managing Amazon Web Services (AWS) infrastructure with automation tool Terraform/CloudFormation and configuration management tools such as Ansible.
  • Technologies/ToolsInvolved: AWSServices (EC2,S3,ALB/ELB,VPC,AutoScaling,Route53,CloudFront),CloudbeesJenkins/OpensourceJenkins,Maven, NexusRepoManager,NexusIQServer,Ansible,Docker,Kubernetes(EKS),Bitbucket,GIT/GitHub,SonarQube, Nginx,Dynatrace,Linux(Redhat,Ubuntu),DataCenters,Jira,Confluence

DevOps Engineer

LL Bean Inc
08.2013 - 01.2016
  • Worked end CI/CD Pipelines in Jenkins to retrieve code, compile applications, perform tests push build artifacts, and helping the team resolve their high priority roadblocks in the build process.
  • Implemented End to End Client Server Installation and customization of Jenkins through the automation of build/deployment process for respective application/project.
  • Configured AWS IAM and Security Group in Public and Private Subnets in VPC.
  • Proposed branching strategies for using Version Control Systems Git and Created branches, performed merges, pushed code to central repo.
  • Installation of Docker over Ec2 instances (Ubuntu & Redhat) for lower environments, writing up Docker Files, build the images, and publishing and pulling the images from Docker hub, then followed by running the applications over containers.
  • Monitoring and performing the health checks of ec2 and docker containers (logs and stats) and remote execution of commands over containers from localhost.
  • Have good exposure to Linux, Networking, monitoring tools & debugging.
  • Handled Production defects related to ansible automation in Jenkins pipeline and troubleshoot system admin issues.
  • Extensively worked on Jenkins Docker for continuous integration and for End-to-End automation for all build and deployments.
  • Experience in maintaining, executing, and scheduling build scripts to automate DEV/QA/UAT builds.
  • Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our QA and UAT environments as well as infrastructure servers for GIT.
  • Implemented AWS solutions using EC2, VPC, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups.
  • Migrating servers, databases, and applications from on premise to AWS.
  • Experience with migrating applications from customer on-premises datacenter to the cloud (AWS).
  • Experience with AWS Cloud formation and launch configurations to automate repeatable provisioning of AWS resources for applications.
  • Provided support to enterprise applications and monitoring systems including deployment support and troubleshooting for other development teams.

Education

BS - Business and Management

Baku Business University
06.2011

Skills

  • Platforms: AWS (EC2, S3, ELB, VPC, RDS, Redshift, CloudFront, Lambda, DynamoDB, AWS Lightsail, AWS Amplify, EKS, ECS Fargate), On-Premises
  • Operating Systems: Linux (Ubuntu, CentOS, RedHat), Windows
  • Containerization and Orchestration: Docker, Kubernetes, AWS EKS, ECS Fargate, Kops
  • CI/CD Tools: Jenkins, GitActions, AWS CodePipeline, XLDeploy, GitHub Actions
  • Configuration Management: Ansible, Terraform, AWS CloudFormation
  • Databases: Oracle, MySQL, PostgreSQL, MongoDB, DynamoDB, AWS RDS, Redshift
  • Scripting Languages: Python, Shell, PowerShell
  • Methodologies: Agile, DevOps Practices
  • Build and Test Tools: Maven, Newman
  • Source Code Management (SCM): GIT, Bitbucket
  • Security Tools: Crowdstrike, AWS Inspector, Guard Duty, Prowler, AWS WAF
  • Monitoring Tools: Datadog, Splunk, AWS CloudWatch, Prometheus, Grafana
  • Microservices Technologies: Kubernetes, Docker, AWS EKS, ECS
  • Package Management: Helm
  • Data Streaming and Indexing: Kafka, AWS OpenSearch
  • Identity and Access Management: Okta SSO, AWS IAM
  • Network and Infrastructure: AWS VPC, ELB, CloudTrail, GuardDuty, Parameter Store, RDS Proxy
  • Storage Solutions: AWS S3, EBS, EFS
  • Logging and Monitoring: AWS CloudTrail, AWS Config, ELK Stack
  • Automation and Scripting: Bash, Python, AWS CLI, PowerShell
  • Version Control Systems: Git, GitHub, Bitbucket
  • Collaboration and Communication Tools: Slack, JIRA, Confluence
  • Disaster Recovery and Backup: AWS Backup
  • Performance Testing Tools: JMeter, LoadRunner
  • Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Pulumi
  • Serverless Technologies: AWS Lambda, AWS Amplify, AWS ECS Fargate
  • Microservices architecture
  • Maintenance and troubleshooting
  • Project planning
  • Incident management
  • Release management
  • Continuous integration
  • Amazon web services
  • Agile
  • Security planning
  • Code reviews
  • Cost assessment

Timeline

Lead DevOps Engineer

Intrivo Diagnostics
01.2022 - Current

DevOps Engineer

LemonBrew
06.2020 - 01.2022

DevOps Engineer

Kaiser Permanente
06.2018 - 06.2020

DevOps Engineer

Countrywide Financial
01.2016 - 05.2018

DevOps Engineer

LL Bean Inc
08.2013 - 01.2016

BS - Business and Management

Baku Business University

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Emil Seid