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Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.
- Building and setting up new development tools and infrastructure
- Understanding the needs of stakeholders and conveying this to developers
- Working on ways to automate and improve development and release processes
- Ensuring that systems are safe and secure against cybersecurity threats
- Identifying technical problems and developing software updates and 'fixes'
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
Daily and Monthly Responsibilities :
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Skills and Qualifications :
- Bachelors in Computer Science, Engineering or relevant field
- Experience as a DevOps Engineer or similar software engineering role
- Proficient with git and git workflows
- Good knowledge of Python
- Working knowledge of databases such as Mysql,Postgres and SQL
- Problem solving attitude
- Collaborative team spirit
- Detail knowledge of Linux systems (Ubuntu)
- Proficient in AWS console and should have handled the infrastructure of any product (Including dev and prod environments)
Mandatory hands on experience in the following :
- Python based application deployment and maintenance
- NGINX web server
- AWS modules EC2, VPC, EBS, S3
- IAM setup
- Database configurations MySQL, PostgreSQL
- Linux flavoured OS
- Instance/Disaster management
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Excellent understanding of SDLC patching, releases and software development at scale.
Excellent knowledge of Git.
Excellent knowledge of Docker.
Good understanding of enterprise standards ond enterprise building principles,
In-depth knowledge in Windows OS
Knowledge of Linux os
Theoretical and practical skills in Web-environments based on .Net technologies, e.g. Ils,
Kestrel, .Net Core, C#.
Strong scripting skills in one or any combination of CMD Shell,Bash, PowerShell. Python.
Good understanding of the mechanisms of Web-environment architectures approaches.
Strong knowledge of cloud providers offering, Azure or AWS.
Good knowledge of a configuration management tools, Ansible, Chef, Salt stack, Puppet.
(Good to have)
Good knowledge of cloud infrastructure orchestration tools like kubemetes or cloud based orchestration.
Good knowledge in one or any combination of cloud infrastructure provisioning tools like
ARM Templates, Terraform, Pulumi.
In-depth knowledge in one or any combination of software delivery orchestration tools like Azure Pipelines, Jenkins Pipelines, Octopus Deploy, etc.
Strong practical knowledge of CI Tools, ie, Azure Devops, Jenkins Excellent knowledge of Continuous Integration and Delivery approaches
Good knowledge on integration of Code Quality tools like SonarQube, Application or Container Security tool like Vera Code, Checksum, Chekov, Trivy.
In-depth knowledge on Azure DevOps Build infrastructure setup, Azure DevOps
Administration and Access management
Job Description
Please connect me on Linkedin or share your Resume on shrashti jain
• 8+ years of overall experience and relevant of at least 4+ years. (Devops experience has be more when compared to the overall experience)
• Experience with Kubernetes and other container management solutions
• Should have hands on and good understanding on DevOps tools and automation framework
• Demonstrated hands-on experience with DevOps techniques building continuous integration solutions using Jenkins, Docker, Git, Maven
• Experience with n-tier web application development and experience in J2EE / .Net based frameworks
• Look for ways to improve: Security, Reliability, Diagnostics, and costs
• Knowledge of security, networking, DNS, firewalls, WAF etc
• Familiarity with Helm, Terraform for provisioning GKE,Bash/shell scripting
• Must be proficient in one or more scripting languages: Unix Shell, Perl, Python
• Knowledge and experience with Linux OS
• Should have working experience with monitoring tools like DataDog, Elk, and/or SPLUNK, or any other monitoring tools/processes
• Experience working in Agile environments
• Ability to handle multiple competing priorities in a fast-paced environment
• Strong Automation and Problem-solving skills and ability
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache).
•Very strong hands with Automation tools such Terraform
• Good experience with provisioning tools such as Ansible, Chef
• Experience with CI CD tools such as Jenkins.
•Experience managing production.
• Good understanding of security in IT and the cloud
• Good knowledge of TCP/IP
• Good Experience with Linux, networking and generic system operations tools
• Experience with Clojure and/or the JVM
• Understanding of security concepts
• Familiarity with blockchain technology, in particular Tendermint
Cloud native technologies - Kubernetes (EKS, GKE, AKS), AWS ECS, Helm, CircleCI, Harness, Severless platforms (AWS Fargate etc.)
Infrastructure as Code tools - Terraform, CloudFormation, Ansible
Scripting - Python, Bash
Desired Skills & Experience:
Projects/Internships with coding experience in either of Javascript, Python, Golang, Java etc.
Hands-on scripting and software development fluency in any programming language (Python, Go, Node, Ruby).
Basic understanding of Computer Science fundamentals - Networking, Web Architecture etc.
Infrastructure automation experience with knowledge of at least a few of these tools: Chef, Puppet, Ansible, CloudFormation, Terraform, Packer, Jenkins etc.
Bonus points if you have contributed to open source projects, participated in competitive coding platforms like Hackerearth, CodeForces, SPOJ etc.
You’re willing to learn various new technologies and concepts. The “cloud-native” field of software is evolving fast and you’ll need to quickly learn new technologies as required.
Communication: You like discussing a plan upfront, welcome collaboration, and are an excellent verbal and written communicator.
B.E/B.Tech/M.Tech or equivalent experience.
Experience: 5+yrs
Skills Required: -
Experience in Azure Administration, Configuration and Deployment of WindowsLinux VMContainer
based infrastructure Scripting Programming in Python, JavaScriptTypeScript, C Scripting PowerShell ,
Azure CLI and shell Scripts Identity, Access Management and RBAC model Virtual Networking, storage,
and Compute Resources
Azure Database Technologies. Monitoring and Analytics Tools in Azure
Azure DevOps based CICD Build pipeline integrated with GitHub – Java and Node.js
Test Automation and other CICD Tools
Azure Infrastructure using ARM template Terrafor








