Devops Engineer

Posted 17 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Fintech • Software • Financial Services
The Role
Designs, deploys, automates, and manages Azure/AWS cloud infrastructure, Kubernetes workloads, and CI/CD pipelines. Responsibilities include Terraform and Helm-based infrastructure automation, Jenkins and GitHub release automation, cloud networking, monitoring and logging with Prometheus, Grafana, Azure Monitor, CloudWatch, and related tools, plus container security, vulnerability scanning, Linux administration, troubleshooting, and DevSecOps implementation. Collaborates across development, QA, security, and operations teams and supports production releases.
Summary Generated by Built In
We are looking for a skilled and proactive DevOps Engineer with 3-4 years of experience to design, implement, automate, and manage cloud infrastructure and CI/CD pipelines on Microsoft Azure. The ideal candidate should have hands-on experience with Azure cloud services or AWS Cloud services, Kubernetes , Infrastructure as Code (Terraform), containerization, monitoring, logging, and DevSecOps practices.

The candidate should be comfortable working in a fast-paced environment with strong troubleshooting, automation, and Linux administration skills.


Key Responsibilities
  • Design, deploy, and manage scalable Azure/AWS cloud infrastructure.
  • Build and maintain CI/CD pipelines using Jenkins and GitHub.
  • Deploy and manage Kubernetes workloads on Kubernetes.
  • Implement Infrastructure as Code (IaC) using Terraform and Helm Charts.
  • Configure and manage Azure/AWS networking components. 
  • Develop automation scripts using Python, Bash, and Shell scripting.
  • Implement container security and vulnerability scanning using Docker Scout and Trivy.
  • Configure and maintain centralized monitoring and logging solutions using Prometheus, Grafana, Fluent Bit, Thanos, Azure Monitor, cloudwatch, and Log Analytics.
  • Perform Linux system administration and troubleshooting.
  • Implement code quality and security checks using SonarQube.
  • Troubleshoot deployment, networking, performance, and infrastructure issues.
  • Collaborate with development, QA, security, and operations teams for release management and infrastructure improvements.
  • Ensure high availability, scalability, and security best practices across environments.
  • Hands-on experience in writing bash and shell script
  • Open to support production releses on monthly basis or as required.
  • Open to work on cloud as well as on-prem environment (if required)


Requirements
Required Technical Skills
Cloud & Azure Services
  • Azure Kubernetes Service (AKS) / AWS EKS
  • Azure Virtual Machines (VM) / AWS EC2
  • Azure Virtual Network (VNet) / AWS VPC
  • Azure Storage Account / AWS S3
  • Azure Key Vault / ASM
  • Azure Active Directory (AAD) / IAM
  • Azure Communication Services / SES
  • Azure DNS / R53
  • Azure Functions / Lambda
  • Azure Monitor / Cloudwatch
  • Log Analytics
DevOps & CI/CD
  • Jenkins
  • GitHub
  • CI/CD pipeline implementation
  • Release automation
Containerization & Orchestration
  • Docker
  • Kubernetes
  • Helm Charts
Infrastructure as Code
  • Terraform
Monitoring & Logging
  • Prometheus
  • Grafana
  • Fluent Bit
  • Thanos
  • Azure Monitor
  • Log Analytics
  • Cloudwatch
Security & DevSecOps
  • Trivy
  • SonarQube
  • Container security best practices
  • Vulnerability management
Scripting & OS
  • Python
  • Bash/Shell scripting
  • Linux administration
Preferred Qualifications
  • Experience with production-grade Kubernetes environments.
  • Strong understanding of networking and security concepts.
  • Experience in implementing GitOps and DevSecOps practices.
  • Knowledge of disaster recovery, backup, and high availability solutions.
  • Experience in multi-cloud environments is a plus.
Soft Skills
  • Strong analytical and troubleshooting skills
  • Good communication and collaboration skills
  • Ability to work independently and within teams
  • Strong documentation and process-oriented mindset
Nice to Have
  • Experience with multi-region Azure / AWS deployments
  • Experience with cost optimization and FinOps
  • Experience with service mesh and ingress controllers
  • Exposure to Agile/Scrum methodologies


Skills Required

  • 3-4 years of DevOps engineering experience
  • Hands-on experience with Microsoft Azure or AWS cloud services
  • Azure Kubernetes Service (AKS) or AWS Elastic Kubernetes Service (EKS)
  • Azure virtual machines or AWS EC2; Azure Virtual Network or AWS VPC; Azure Storage or Amazon S3
  • Azure Key Vault or AWS Secrets Manager; Azure Active Directory or AWS IAM
  • Azure Functions or AWS Lambda; Azure DNS or Amazon Route 53; Azure Communication Services or Amazon SES
  • Azure Monitor, Amazon CloudWatch, and Log Analytics
  • Jenkins, GitHub, CI/CD pipeline implementation, and release automation
  • Docker, Kubernetes, and Helm Charts
  • Terraform for Infrastructure as Code
  • Prometheus, Grafana, Fluent Bit, and Thanos
  • Trivy, SonarQube, container security, and vulnerability management
  • Python, Bash or Shell scripting, and Linux administration
  • Strong troubleshooting, automation, networking, and security skills
  • Willingness to support monthly or as-needed production releases
  • Willingness to work in cloud and on-premises environments
  • Production-grade Kubernetes experience
  • Experience implementing GitOps and DevSecOps practices
  • Knowledge of disaster recovery, backup, and high-availability solutions
  • Multi-cloud environment experience
  • Multi-region Azure or AWS deployment experience
  • Cost optimization and FinOps experience
  • Service mesh and ingress controller experience
  • Exposure to Agile or Scrum methodologies
  • Strong analytical, communication, collaboration, documentation, and process-oriented skills
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The Company
147 Employees
Year Founded: 2021

What We Do

Facctum is a compliance-technology company that helps financial institutions manage financial-crime risk. Its software provides watchlist management, customer and payment screening, transaction monitoring, alert adjudication, and related due-diligence capabilities. Using machine learning, dynamic screening, and data-centric tooling, Facctum aims to improve detection, regulatory compliance, operational efficiency, and customer experience across complex financial-services environments through configurable, scalable platforms designed for regulated organizations worldwide.

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