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Sargis Hayrapetyan
Verified Expert in Engineering
Platform and DevOps Engineer Developer
Yerevan, Armenia
Toptal member since February 17, 2026
Bio
Sargis is a senior DevOps and platform engineer trusted to design and operate resilient cloud infrastructure at scale. He brings strong expertise in AWS, Kubernetes, Terraform, and CI/CD, enabling fast delivery without compromising reliability. From architecture to production operations, Sargis drives automation, visibility, and cost-effective growth. Teams rely on him to turn complex systems into stable, repeatable platforms.
Portfolio
EPAM Systems
Google Cloud Platform (GCP), Terraform, GitHub Actions, Kubernetes...
Naviteq
Google Cloud Platform (GCP), Terraform, Kubernetes, GitHub Actions, Python...
Andersen Lab
Terraform, AWS Lambda, Go, GitLab CI/CD, ECS, Docker, DevOps, Keycloak...
Experience
- CI/CD Pipelines - 7 years
- Amazon Web Services (AWS) - 7 years
- Terraform - 6 years
- GitHub Actions - 6 years
- Infrastructure as Code (IaC) - 6 years
- Jenkins - 5 years
- Kubernetes - 5 years
- Ansible - 5 years
Preferred Environment
Infrastructure as Code (IaC), CI/CD Pipelines, Amazon Web Services (AWS), GitHub, Google Cloud Platform (GCP), Azure
The most amazing...
...experience has been managing patching, upgrades, and maintenance of Kubernetes clusters across AWS and Azure to improve security, stability, and reliability.
Work Experience
Senior Systems and DevOps Engineer
2024 - 2026
EPAM Systems
- Managed patching, upgrades, and maintenance of Kubernetes clusters across AWS and Azure, improving security posture, cluster stability, and workload reliability.
- Designed and implemented reusable GitHub Actions workflows, standardizing CI/CD processes and reducing duplication across repositories.
- Implemented SonarQube scanning within CI pipelines, improving code quality visibility and enforcing security and quality gates before deployment.
- Took DevOps lead in a startup project, designing cloud architecture, implementing infrastructure as code (IaC), and establishing monitoring, logging, and CI/CD pipelines from the ground up.
- Drove the upgrade of Apache Airflow clusters, ensuring compatibility, zero-downtime transition, and improved orchestration performance.
Technologies: Google Cloud Platform (GCP), Terraform, GitHub Actions, Kubernetes, Apache Airflow, Datadog, Argo CD, Docker, Amazon EKS, DevOps, AWS Certified DevOps Engineer, Amazon CloudWatch, Data Engineering, Configuration Management, SQL, OpenID Connect (OIDC), Disaster Recovery Plans (DRP), NoSQL, Crossplane, Helm, Grafana, Identity & Access Management (IAM), Monitoring, Loki, HashiCorp Vault, Bash, GitHub, Git, Amazon Web Services (AWS), AWS Auto Scaling, AWS Cloud Security, Amazon EC2, Amazon RDS, AWS IAM, AWS Fargate, Site Reliability Engineering (SRE), CI/CD Pipelines, Linux, Bash Script, Amazon Elastic Container Service (ECS), Continuous Delivery (CD), Continuous Integration (CI), Networking, Virtual Private Cloud (VPC), Amazon Virtual Private Cloud (VPC), OpenTofu, PostgreSQL, Redis, Node.js, Amazon Glacier, Amazon S3 (AWS S3), API Gateways, Argo Workflows, Cloud Infrastructure, Container Orchestration, Role-based Access Control (RBAC), Data Pipelines, Apache Kafka, Spark, Containerization, Scripting, Disaster Recovery Automation, Disaster Recovery (DR), REST APIs, Architecture, Cloud Architecture, Python Script
Senior Systems Engineer
2023 - 2024
Naviteq
- Migrated applications from on-premises infrastructure to AWS, redesigning architecture for cloud-native services and improving scalability, availability, and operational efficiency.
- Converted manually created Google Cloud Platform (GCP) resources into Terraform-managed infrastructure and patched Google Kubernetes Engine (GKE) clusters to improve version consistency, security posture, and maintainability.
- Performed security scans across cloud environments and remediated findings by updating IAM policies and access controls, strengthening compliance and reducing risk exposure.
- Implemented GitOps-based deployments using Argo CD and integrated Prometheus monitoring, improving deployment traceability, rollback capability, and observability across Kubernetes clusters.
Technologies: Google Cloud Platform (GCP), Terraform, Kubernetes, GitHub Actions, Python, Prometheus, Argo CD, Docker, Amazon EKS, DevOps, AWS Certified DevOps Engineer, Amazon CloudWatch, OpenID Connect (OIDC), Crossplane, Helm, Identity & Access Management (IAM), Monitoring, Bash, GitHub, Git, Amazon Web Services (AWS), AWS Auto Scaling, AWS Cloud Security, Amazon EC2, Amazon RDS, AWS IAM, Site Reliability Engineering (SRE), CI/CD Pipelines, Linux, Bash Script, Continuous Delivery (CD), Continuous Integration (CI), Networking, Virtual Private Cloud (VPC), Amazon Virtual Private Cloud (VPC), OpenTofu, Redis, Google Kubernetes Engine (GKE), Amazon Glacier, API Gateways, Cloud Infrastructure, Container Orchestration, Role-based Access Control (RBAC), Apache Kafka, Containerization, Scripting, Disaster Recovery Automation, Disaster Recovery (DR), Cloud Architecture
Cloud Platform and DevOps Engineer
2023 - 2023
Andersen Lab
- Designed and maintained AWS infrastructure using Terraform, improving environment consistency, modularity, and automated provisioning across multiple stages.
- Developed and deployed AWS Lambda functions in Go, optimizing performance and integrating serverless components with event-driven architectures.
- Built and optimized GitLab CI pipelines for containerized applications, managing deployments to Amazon Elastic Container Service (ECS) and improving release reliability and automation.
Technologies: Terraform, AWS Lambda, Go, GitLab CI/CD, ECS, Docker, DevOps, Keycloak, AWS Certified DevOps Engineer, Amazon CloudWatch, Data Engineering, Configuration Management, SQL, Java, NoSQL, Helm, Grafana, Identity & Access Management (IAM), Monitoring, Loki, Bash, GitHub, Git, Amazon Web Services (AWS), AWS Cloud Security, Amazon EC2, Amazon RDS, AWS IAM, AWS Fargate, CI/CD Pipelines, Linux, Bash Script, Continuous Delivery (CD), Continuous Integration (CI), Networking, Virtual Private Cloud (VPC), Amazon Virtual Private Cloud (VPC), PostgreSQL, Redis, Node.js, Amazon Glacier, Amazon S3 (AWS S3), API Gateways, Argo Workflows, Cloud Infrastructure, Container Orchestration, Role-based Access Control (RBAC), Data Pipelines, Containerization, Scripting, Disaster Recovery Automation, Disaster Recovery (DR), REST APIs, Architecture, GitLab, Cloud Architecture, Python Script
Systems DevOps Engineer
2022 - 2023
Provectus
- Participated in the migration of production workloads from AWS to Azure, redesigning infrastructure using Azure-native services and IaC while ensuring minimal downtime and stable service transition.
- Built and maintained production Airflow environments, implemented Git sync for DAG version control, and created temporary Airflow environments for testing and feature validation.
- Enhanced GitOps practices and upgraded CI/CD pipelines by implementing reusable GitHub Actions workflows, improving deployment consistency, traceability, and release efficiency across environments.
Technologies: Azure, Terraform, GitHub Actions, Apache Airflow, Kubernetes, GitOps, Argo CD, Docker, AWS CloudFormation, Amazon EKS, Amazon SageMaker, DevOps, Amazon CloudWatch, Data Engineering, Configuration Management, SQL, OpenID Connect (OIDC), Disaster Recovery Plans (DRP), Java, Helm, Grafana, Identity & Access Management (IAM), Monitoring, Loki, Bash, GitHub, Git, Amazon Web Services (AWS), AWS Auto Scaling, AWS Cloud Security, Amazon EC2, Amazon RDS, AWS IAM, AWS Fargate, Site Reliability Engineering (SRE), CI/CD Pipelines, Linux, Bash Script, Amazon Elastic Container Service (ECS), Continuous Delivery (CD), Continuous Integration (CI), Networking, Virtual Private Cloud (VPC), Amazon Virtual Private Cloud (VPC), PostgreSQL, MongoDB, Google Kubernetes Engine (GKE), Amazon Glacier, Amazon S3 (AWS S3), API Gateways, Argo Workflows, Container Orchestration, Role-based Access Control (RBAC), Data Pipelines, Containerization, Scripting, REST APIs, Architecture, GitLab, Cloud Architecture, Python Script
Systems DevOps Engineer
2020 - 2022
EPAM Systems
- Contributed to the migration from Datadog to New Relic by implementing infrastructure, application, and synthetic monitors, improving observability coverage, reducing alert noise, and increasing system reliability across multiple environments.
- Enhanced Jenkins shared libraries and standardized Ansible roles to improve pipeline reusability, enforce consistent deployment practices, and streamline infrastructure and application automation across environments.
- Designed and implemented a centralized distribution pipeline to automate the packaging and delivery of client products across major public cloud providers, ensuring consistency, scalability, and secure artifact management.
- Automated existing manually managed infrastructure using Terraform, transitioning legacy resources to IaC to improve scalability, consistency, version control, and repeatable deployments across environments.
Technologies: Azure, Terraform, Ansible, Jenkins, HC Packer, Kubernetes, Datadog, Splunk, Docker, AWS CloudFormation, DevOps, Amazon CloudWatch, Configuration Management, SQL, OpenID Connect (OIDC), Disaster Recovery Plans (DRP), Java, Identity & Access Management (IAM), Monitoring, HashiCorp Vault, Bash, GitHub, Git, Amazon Web Services (AWS), AWS Auto Scaling, AWS Cloud Security, Amazon EC2, Amazon RDS, AWS IAM, CI/CD Pipelines, Linux, Bash Script, Amazon Elastic Container Service (ECS), Continuous Delivery (CD), Continuous Integration (CI), Networking, Virtual Private Cloud (VPC), Amazon Virtual Private Cloud (VPC), PostgreSQL, MongoDB, Amazon Glacier, Amazon S3 (AWS S3), Container Orchestration, Role-based Access Control (RBAC), Scripting, Cloud Architecture, Python Script
Experience
Vertex Inc. - E-invoicing Application
https://www.vertexinc.com/AWS Cloud Architect – AI-integrated Application Platform on AWS
I contributed as an AWS cloud architect on an AWS-hosted startup platform with AI capabilities. I designed and defined the cloud architecture for front-end and back-end services, APIs, and processing components running on Amazon EKS. I also built the observability foundation by implementing architecture for monitoring, centralized log collection, and synthetic monitoring, helping ensure scalability, reliability, and proactive incident detection across the platform.
I contributed as an AWS cloud architect on an AWS-hosted startup platform with AI capabilities. I designed and defined the cloud architecture for front-end and back-end services, APIs, and processing components running on Amazon EKS. I also built the observability foundation by implementing architecture for monitoring, centralized log collection, and synthetic monitoring, helping ensure scalability, reliability, and proactive incident detection across the platform.
Novartis - Molecular Data Analytics Platform
https://www.novartis.com/AWS Cloud Architect – Molecular Data Analytics Platform Modernization on AWS
I contributed as an AWS cloud architect on the transformation of a legacy molecular data analytics application into a modern AWS-based microservices platform. I designed and defined the cloud architecture for containerized services on Amazon EKS, redesigned the application processing layer, and moved selected jobs to AWS Lambda while keeping core workloads as Kubernetes-hosted microservices. This modernization improved scalability, flexibility, and overall platform efficiency.
I contributed as an AWS cloud architect on the transformation of a legacy molecular data analytics application into a modern AWS-based microservices platform. I designed and defined the cloud architecture for containerized services on Amazon EKS, redesigned the application processing layer, and moved selected jobs to AWS Lambda while keeping core workloads as Kubernetes-hosted microservices. This modernization improved scalability, flexibility, and overall platform efficiency.
PepsiCo - eCommerce Data Platform Airflow
Data Platform Engineer – Kubernetes-based eCommerce Data Platform with Apache Airflow
I contributed to an eCommerce data platform built on Apache Airflow for orchestrating cloud-based data pipelines. I designed and implemented ephemeral Kubernetes environments on AWS and Azure, and automated the provisioning of temporary Airflow environments for developers to test changes in isolated environments. I improved platform flexibility, accelerated developer testing, and increased consistency across multi-cloud development workflows.
I contributed to an eCommerce data platform built on Apache Airflow for orchestrating cloud-based data pipelines. I designed and implemented ephemeral Kubernetes environments on AWS and Azure, and automated the provisioning of temporary Airflow environments for developers to test changes in isolated environments. I improved platform flexibility, accelerated developer testing, and increased consistency across multi-cloud development workflows.
Epic Games - Multi-cloud Unreal Engine Image Distribution
DevOps Engineer – Multi-cloud Unreal Engine Image Distribution
I contributed to a project delivering hardened, preloaded Unreal Engine images for cloud-based build and rendering environments aligned with Epic Games workflows. I built an automated multi-cloud distribution pipeline for Amazon Machine Images (AMIs), Azure VM Images, and GCP machine images. I also created Ansible-based automation for image configuration and hardening, and implemented workflows for packaging, validation, and multi-region marketplace publishing, enabling secure, consistent, and repeatable image releases across AWS, Azure, and GCP.
I contributed to a project delivering hardened, preloaded Unreal Engine images for cloud-based build and rendering environments aligned with Epic Games workflows. I built an automated multi-cloud distribution pipeline for Amazon Machine Images (AMIs), Azure VM Images, and GCP machine images. I also created Ansible-based automation for image configuration and hardening, and implemented workflows for packaging, validation, and multi-region marketplace publishing, enabling secure, consistent, and repeatable image releases across AWS, Azure, and GCP.
Education
2013 - 2019
Bachelor's Degree in Computer Science
National Polytechnic University of Armenia - Yerevan, Armenia
Certifications
DECEMBER 2025 - PRESENT
AWS Certified CloudOps Engineer Associate
Amazon Web Services
FEBRUARY 2025 - PRESENT
HashiCorp Certified: Terraform Associate (003)
HashiCorp
JULY 2023 - PRESENT
AWS Certified Solutions Architect – Professional
Amazon Web Services
OCTOBER 2022 - PRESENT
AWS Certified Solutions Architect – Associate
Amazon Web Services
MARCH 2021 - PRESENT
Microsoft Azure Administrator Associate
Microsoft
Skills
Libraries/APIs
Node.js, REST APIs
Tools
Terraform, Ansible, Jenkins, GitHub, Amazon EKS, Amazon CloudWatch, Helm, Grafana, Loki, HashiCorp Vault, Git, AWS IAM, AWS Fargate, Amazon Elastic Container Service (ECS), Amazon Virtual Private Cloud (VPC), OpenTofu, Google Kubernetes Engine (GKE), GitLab, Apache Airflow, GitLab CI/CD, AWS CloudFormation, Keycloak, Splunk, Amazon SageMaker
Languages
Bash Script, Java, Bash, Python Script, Go, Python, SQL, C++
Frameworks
Crossplane, Spark
Paradigms
DevOps, Automation, Continuous Delivery (CD), Continuous Integration (CI), Role-based Access Control (RBAC)
Platforms
Linux, Kubernetes, AWS Lambda, Amazon Web Services (AWS), Docker, Amazon EC2, Azure, Google Cloud Platform (GCP), Windows, New Relic, Apache Kafka
Storage
Amazon S3 (AWS S3), NoSQL, PostgreSQL, MongoDB, Redis, Data Pipelines, Datadog
Other
Infrastructure as Code (IaC), CI/CD Pipelines, Networking, HC Packer, GitHub Actions, GitOps, ECS, Infrastructure, Cloud, AWS DevOps, AWS Certified Solution Architect, AWS Cloud Operations, AWS Certified DevOps Engineer, Configuration Management, OpenID Connect (OIDC), Identity & Access Management (IAM), Monitoring, AWS Auto Scaling, AWS Cloud Security, Amazon RDS, Site Reliability Engineering (SRE), Virtual Private Cloud (VPC), Amazon Glacier, API Gateways, Argo Workflows, Cloud Infrastructure, Container Orchestration, Containerization, Scripting, Architecture, Cloud Architecture, Networks, Routing, Routing and Switching Protocols, Argo CD, Prometheus, Data Engineering, Disaster Recovery Plans (DRP), Disaster Recovery Automation, Disaster Recovery (DR), LAN Switching, Azure identity and governance, Azure storage administration, Azure compute management, OpenAI
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