
DevOps Engineer
at technology based supply chain management
Bachelor's degree in information security, computer science, or related.
A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
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Senior Cloud Engineer Job Description
Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]
Location: Remote [REQUIRES WORKING IN CST TIME ZONE]
Position Overview
The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud
strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives
through innovative cloud engineering.
Key Responsibilities
Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration
Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes
Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements
Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools
Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management
Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation
Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues
Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence
Stay current with emerging cloud technologies, trends, and best practices,
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
- 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
- Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
- Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
- Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
- Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
- Experience with cloud security, governance, and compliance frameworks
- Excellent analytical, troubleshooting, and root cause analysis skills
- Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
- Ability to work independently, manage multiple priorities, and lead complex projects to completion
Preferred Qualifications
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
- Experience with cloud cost optimization and FinOps practices
- Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
- Exposure to cloud database technologies (SQL, NoSQL, managed database services)
- Knowledge of cloud migration strategies and hybrid cloud architectures
Key Qualifications :
- At least 2 years of hands-on experience with cloud infrastructure on AWS or GCP
- Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
- Knowledge in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
- Familiarity with monitoring and alerting tools(e.g. CloudWatch, ELK stack, Prometheus)
- Proven ability to work independently or as an integral member of a team
Preferable Skills :
- Familiarity with standard IT security practices such as encryption, credentials and key management
- Proven ability to acquire various coding languages (Java, Python- ) to support DevOps operation and cloud transformation
- Familiarity in web standards (e.g. REST APIs, web security mechanisms)
- Multi-cloud management experience with GCP / Azure
- Experience in performance tuning, services outage management and troubleshooting
5 to 10 years of software development & coding experience
Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have.
Experience troubleshooting AWS policy or permissions related errors during resource deployments \
Programming experience; preferred Python, PowerShell, bash development experience \
Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)
Have configuration management experience (Chef, Puppet, or Ansible)
Worked in a Development Shop or have SDLC hands on Experience
Familiar with how to write software, test plans, automate and release using modern development methods
AWS certified at an appropriate level
ketteQ is a supply chain planning and automation platform. We are looking for an experienced AWS Devops Engineer to help manage AWS infrastructure and automation. This job comes with a attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:
Duties & Responsibilities
- Deployment, automation, management, and maintenance of AWS cloud-based production system
- Build a deployment pipeline for AWS and Salesforce
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as cloud formation template
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
Requirements
- At least 5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, Fargate, S3, Cloud Formation)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Solid foundation of networking and Linux administration
- Experience with Docker, GitHub, Jenkins, Cloud Formation and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Database experience to help with monitoring and performance; PostgreSql experience preferred
- AWS certification preferred
Education
- Bachelors in Engineering or related field
Who we are :
Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.
Today, we are :
- India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
- Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
- Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
- LinkedIn Top Startup to Work for - 2019
Objectives of this role :
- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
- Define and document best practices and strategies regarding application deployment and infrastructure maintenance
- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies
- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
- Manage cloud environments in accordance with company security guidelines
Job Description :
- Excellent understanding of Cloud Platform (AWS)
- Strong knowledge on AWS Services, design, configuration on enterprise systems
- Good knowledge on Kubernetes configuration, Dockers
- Understanding the needs of the business for defining AWS system specifications
- Understand Architecture Requirements and ensure effective support activities
- Evaluation and choosing suitable AWS Service or and suggesting methods for integration
- Overseeing assigned programs and guiding the team members
- Providing assistance when technical problems arise
- Making sure the agreed infrastructure and architecture are implemented
- Addressing the technical concerns, suggestions, and ideas
- Configure Monitoring systems to make sure they meet business goals as well as user requirements
- Excellent knowledge of AWS IaaS Layer
- Ability to lead & implement PS workloads or POCs
- Ensure continual knowledge management
Azure DeVops
On premises to Azure Migration
Docker, Kubernetes
Terraform CI CD pipeline
9+ Location
Budget – BG, Hyderabad, Remote , Hybrid –
Budget – up to 30 LPA
Araali Networks is seeking a highly driven DevOps engineer to help streamline the release and deployment process, while assuring high quality.
Responsibilities:
Use best practices to streamline the release process
Use IaC methods to manage cloud infrastructure
Use test automation for release qualification
Skills and Qualifications:
Hands-on experience in managing release pipelines
Good understanding of public cloud infrastructure
Working knowledge of python test frameworks like pyunit, and automation tools like Selenium, Cucumber etc
Strong analytical and debugging skills
Bachelor’s degree in Computer Science
About Araali:
Araali Networks is a SaaS based cybersecurity startup that has raised a total of $10M from well known investors like A Capital, Firebolt Ventures and SV Angels, and and through a strategic investment by a publicly traded security company.
The company is disrupting the cloud firewall market by auto-creating nano-perimeters around every cloud app. The Araali solution enables developers to focus on features and improves the security posture through simplification and automation.
The security controls are embedded at the time of DevOps. The precision of Araali controls also helps with security operations where alerts are precise and intelligently routed to the right app team, making it actionable in real-time.
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Job Dsecription:
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
NOTICE PERIOD - Max - 30 days







