DevOps Lead at Silvermine Software India Private Limited · Remote only · 7 - 9 years · ₹15L - ₹22L / yr · Profitable · Remote only · Posted 16 May 2022
Amazon Web Services (AWS)
DockerRoles and Responsibilities
- Primary stakeholder collaborating with Dir Engineering on software/infrastructure architecture, monitoring/alerting framework and all other architectural level technical issues
- Design and manage implementation of Silvermine’s high performance, scalable, extensible and resilient microservices application stack based of existing, partially migrated monolithic application and for new product development. Includes:
- Utilizing either ECS Fargate (no EC2 clusters) or EKS as the orchestration framework – to be tested up to a minimum of 100k concurrent users
- Exploring, designing and implementing use of on demand compute (Lambda) where appropriate
- Scalable and redundant data architecture supporting microservices design principles
- A scalable reverse proxy layer to isolate microservices from managing network connections
- Utilizing CDN capabilities to offload origin load via an intelligent caching strategy
- Leveraging best in breed AWS service offerings to enable team to focus on application stack instead of application scaffolding while minimizing operational complexity and cost
- Monitoring and optimizing of stack for
- Security and monitoring
- Leverage AWS and 3rd party services to monitor the application stack and data; secure them from DDOS attacks and security breaches; and alert the team in the vent of an incident
- Using APM and logging tools:
- Monitor application stack and infrastructure component performance
- Proactively detect, triage and mitigate stack performance issues
- Alert upon exception events
- Provide triaging tools for debugging and Root Cause Analysis.
- Enhance the CI/CD pipeline to support automated testing, a resilient deployment model (e.g., blue-green, canary) and 100% rollback support (including the data layer)
- Development a comprehensive, supportable, repeatable IAC implementation using CloudFormation or Terraform
- Take a leadership role and exhibit expertise in the development of standards, architectural governance, design patterns, best practices and optimization of existing architecture.
- Partner with teams and leaders to provide strategic consultation for business process design/optimization, creating strategic technology road maps, performing rapid prototyping and implementing technical solutions to accelerate the fulfillment of the business strategic vision.
- Staying up to date on emerging technologies (AI, Automation, Cloud etc.) and trends with a clear focus on productivity, ease of use and fit-for-purpose, by researching, testing, and evaluating.
- Providing POCs and product implementation guidelines.
- Applying imagination and innovation by creating, inventing, and implementing new or better approaches, alternatives and breakthrough ideas that are valued by customers within the function.
- Assessing current state of solutions, defining future state needs, identifying gaps and recommending new technology solutions and strategic business execution improvements.
- Overseeing and facilitating the evaluation and selection technology, product standards and the design of standard configurations/implementation patterns.
- Partnering with other architects and solution owners to create standards and set strategies for the enterprise.
- Communicating directly with business colleagues on applying digital workplace technologies to solve identified business challenges.
Skills Required:
- Good mentorship skills to coach and guide the team on AWS DevOps.
- Jenkins, Python, Pipeline as Code, Cloud Formation Templates and Terraform.
- Experience with Dockers, Containers, Lambda and Fargate is a must
- Experience with CI/CD and Release management
- Strong proficiency in PowerShell scripting
- Demonstrable expertise in Java
- Familiarity with REST APIs
Qualifications:
- Minimum of 5 years of relevant experience in Devops.
- Bachelors or Masters in Computer Science or equivalent degree.
- AWS Certifications is added advantage
Shubham Vishwakarma
Full Stack Developer - Averlon
About Silvermine Software India Private Limited
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We are looking for an experienced AWS DevOps Engineer with 5–7 years of experience in cloud infrastructure management, automation, and deployment engineering. The candidate should have strong hands-on experience with AWS services, Infrastructure as Code (IaC), CI/CD pipeline implementation, Jenkins, and Ansible.
- Design, implement, and maintain AWS cloud infrastructure and services.
- Build, manage, and optimize CI/CD pipelines using Jenkins.
- Automate infrastructure provisioning and management using Terraform or AWS CloudFormation.
- Develop and maintain Ansible playbooks for configuration management and automation.
- Manage AWS services such as EC2, S3, VPC, IAM, EBS, ELB, Auto Scaling, Route 53, and CloudWatch.
- Implement cloud infrastructure security, access management, monitoring, and backup strategies.
- Automate deployment processes and improve application release efficiency.
- Monitor infrastructure performance and troubleshoot cloud-related issues.
- Manage networking components, including VPC, subnets, routing, security groups, NACLs, DNS, VPN, and load balancers.
- Manage VMware virtualized environments and perform server administration activities.
- Perform Linux and Windows server administration, patching, upgrades, and troubleshooting.
- Collaborate with development and infrastructure teams to improve system reliability and operational efficiency.
TECHJAYS
THE AI REIMAGINATION COMPANY
Position DevOps Lead
Experience 10+ Years
Location Coimbatore / Hybrid
Joining Immediate / ASAP
Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability
Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps
About Techjays
At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.
Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.
We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.
The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.
You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.
This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.
Key Responsibilities
1. Cloud Infrastructure & Architecture
- Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
- Own cloud infrastructure architecture and operations across AWS or Azure.
- Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
- Establish infrastructure standards, architecture patterns, and operational best practices.
- Manage cloud resource provisioning, configuration, scaling, and environment management.
- Ensure infrastructure meets requirements for availability, performance, security, and reliability.
- Drive infrastructure improvements through automation and continuous optimization.
2. DevOps & CI/CD Engineering
- Design, implement, and maintain CI/CD pipelines for application development and deployment.
- Manage multi-stage deployment workflows across development, testing, staging, and production environments.
- Implement automated build, testing, deployment, and release processes.
- Establish reusable pipeline templates, deployment standards, and approval workflows.
- Manage deployment strategies, including rolling, blue/green, and canary deployments.
- Implement rollback mechanisms and ensure reliable production releases.
- Integrate CI/CD workflows with source control, artifact repositories, and container registries.
- Continuously improve deployment efficiency, release reliability, and engineering productivity.
3. Containerization & Kubernetes Management
- Architect and manage containerized application environments using Docker and Kubernetes.
- Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
- Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
- Work with Helm charts for application packaging and deployment.
- Optimize container resource utilization, application scaling, and cluster performance.
- Troubleshoot complex container and Kubernetes-related production issues.
- Establish best practices for container security and workload reliability.
4. Infrastructure as Code & Automation
- Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
- Automate infrastructure provisioning, configuration management, and environment setup.
- Develop reusable infrastructure modules and deployment automation workflows.
- Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
- Reduce manual intervention through standardization and automation.
- Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.
5. Monitoring, Reliability & Production Operations
- Establish centralized monitoring, logging, alerting, and observability across cloud environments.
- Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
- Monitor application availability, infrastructure health, resource utilization, and system performance.
- Lead troubleshooting and resolution of complex production incidents.
- Conduct root cause analysis and implement permanent corrective actions.
- Establish operational practices for backup, disaster recovery, availability, and business continuity.
- Improve system reliability through proactive monitoring and performance optimization.
6. Cloud Security & Governance
- Implement cloud security best practices across infrastructure and application environments.
- Manage IAM, RBAC, access controls, service identities, and secrets management.
- Secure cloud networking, virtual networks, firewalls, and infrastructure access.
- Implement container security and infrastructure hardening practices.
- Ensure cloud environments follow organizational security and compliance requirements.
- Identify infrastructure vulnerabilities and coordinate remediation activities.
- Establish secure deployment and configuration management practices.
7. AI Infrastructure & Engineering Collaboration
- Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
- Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
- Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
- Support the infrastructure requirements of AI applications across development, testing, and production environments.
- Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
- Evaluate infrastructure technologies and tools that support evolving AI application requirements.
8. Technical Leadership & Team Development
- Provide technical leadership to DevOps engineers and guide implementation across projects.
- Establish engineering standards, infrastructure best practices, and operational procedures.
- Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
- Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
- Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
- Drive continuous improvement across DevOps processes, tools, and engineering practices.
Required Technical Skills & Experience
1. Cloud Platforms
- 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
- Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
- Practical experience designing, deploying, and operating production-grade cloud infrastructure.
AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.
Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.
Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.
2. DevOps & CI/CD
- Strong experience designing and maintaining CI/CD pipelines.
- Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
- Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
- Experience implementing deployment automation and rollback strategies.
- Strong understanding of Git workflows and version control practices.
3. Containers & Kubernetes
- Strong hands-on experience with Docker and Kubernetes.
- Practical experience managing EKS or AKS environments.
- Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
- Experience with Helm and container orchestration.
- Ability to troubleshoot production container and Kubernetes environments.
4. Infrastructure as Code & Scripting
- Strong experience with Terraform and Infrastructure as Code practices.
- Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
- Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
- Strong understanding of Linux administration and system troubleshooting.
5. Monitoring & Reliability Engineering
- Experience implementing infrastructure and application monitoring.
- Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
- Understanding of incident management, root cause analysis, performance optimization, and system availability.
- Experience establishing alerting, operational dashboards, and reliability practices.
6. AI/ML Infrastructure Exposure
- Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
- Understanding of infrastructure requirements for deploying and operating AI-powered applications.
- Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.
Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.
Preferred Skills
- Experience implementing GitOps workflows using Argo CD or similar tools.
- Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
- Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
- Experience with cloud cost optimization and FinOps practices.
- Familiarity with AI/ML infrastructure and production GenAI applications.
- Experience with Python-based automation and infrastructure tooling.
- Relevant AWS, Azure, Kubernetes, or Terraform certifications.
What We're Looking For Beyond Skills
- Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
- Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
- Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
- System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
- Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
- Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
- Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
- AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
- Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.
Typical Technology Environment
AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products
What We Offer
- Competitive compensation aligned with experience and expertise.
- Coimbatore office-based work environment with hybrid flexibility.
- Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
- Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
- Paid holidays and flexible time off.
- Medical insurance covering self and family, up to ₹4 lakh per person.
- Opportunities to influence infrastructure architecture and engineering practices.
- A culture that values clarity, integrity, ownership, and continuous growth.
Join Techjays
If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.
* Deploy and maintain company websites and HRM Cloud applications.
* Configure and manage cloud servers and Linux environments.
* Set up CI/CD pipelines using GitHub/GitHub Actions.
* Configure domains, DNS, SSL certificates, and HTTPS.
* Deploy frontend, backend/API, and database services.
* Configure production and staging environments.
* Manage Docker containers where required.
* Monitor server performance, uptime, logs, and application health.
* Implement regular database and server backups.
* Maintain security, access controls, firewalls, and server permissions.
* Troubleshoot deployment, server, network, and application issues.
* Work closely with Full-Stack Developers and QA teams.
* Maintain deployment documentation and technical procedures.
Required Skills
* AWS / Azure / DigitalOcean or equivalent cloud platform
* Linux server administration
* Git & GitHub
* CI/CD and GitHub Actions
* Docker
* Nginx / Apache
* DNS & domain configuration
* SSL/TLS and HTTPS
* Database deployment and backup
* Basic networking and security
* Monitoring and troubleshooting
* Experience deploying web applications to production
Preferred Skills
* Kubernetes
* Terraform / Infrastructure as Code
* Cloud security
* Load balancing
* Redis / caching
* PostgreSQL / MySQL / MongoDB
* Experience with Node.js, React, PHP/Laravel, or .NET applications
What We Offer
* Opportunity to work on HRM Cloud and SaaS products
* Exposure to real-world cloud infrastructure and production systems
* Remote/hybrid working opportunity
* Growth opportunities within the technology team
* Opportunity to work with an international product-focused company
How to Apply
Send your CV,GitHub profile, LinkedIn profile, and details of your previous cloud/DevOps projects.
Subject: Application – DevOps & Cloud Engineer
Key Responsibilities
- Automate application deployments from Bitbucket to servers using CI/CD pipelines.
- Design and manage scalable, highly available AWS infrastructure.
- Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
- Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
- Build and manage Docker containers and server images.
- Deploy and manage applications using Kubernetes.
- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python and Bash.
- Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
- Integrate security and compliance practices into CI/CD pipelines.
- Optimize infrastructure for security, scalability, performance, and cost.
Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
- Proficiency in Python and/or Bash scripting.
- Knowledge of DevSecOps, security, and compliance best practices.
- Strong troubleshooting and problem-solving skills.
Job Title: DevOps Manager
Experience: 8+ Years
Location: Pune
Employment Type: Full-time
About the Role
We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.
Key Responsibilities
• Lead and mentor the DevOps engineering team.
• Design, implement, and optimize CI/CD pipelines and deployment processes.
• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.
• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.
• Manage Docker and Kubernetes based environments.
• Develop and maintain automation scripts using Shell/Bash Scripting and Python.
• Implement monitoring, logging, alerting, and observability.
• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.
• Drive infrastructure security, performance, scalability, and cloud cost optimization.
• Collaborate with Development, QA, Security, Architecture, and Delivery teams.
Required Skills & Qualifications
• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.
• Strong hands-on experience in Shell / Bash Scripting.
• Experience with AWS / Azure / GCP cloud platforms.
• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Hands-on experience with Docker, Kubernetes, and Helm.
• Strong experience with Terraform and Ansible.
• Experience with Linux administration, Git, networking, IAM, and cloud security.
• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.
• Strong troubleshooting, communication, stakeholder management, and team leadership skills.
Preferred Skills (Nice to Have)
• Python scripting experience.
• Cloud / Kubernetes / Terraform certifications.
• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.
We are looking for an experienced DevOps Engineer with 5–7 years of hands-on experience in managing infrastructure, automating deployments, and implementing CI/CD pipelines. The ideal candidate should have strong expertise in at least one cloud or DevOps platform, Infrastructure as Code (IaC), configuration management, and deployment automation.
- The candidate should also possess good knowledge of networking, VMware virtualization, Linux/Windows system administration, and infrastructure management to ensure reliable, scalable, and secure IT environments.Manage and automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
- Develop and maintain automation scripts for infrastructure configuration, deployment, and operational tasks.
- Manage and maintain cloud or infrastructure platforms such as AWS, Azure, or GCP.
- Implement and manage CI/CD tools, particularly Jenkins, for continuous integration and continuous delivery.
- Automate configuration management and infrastructure deployment using Ansible.
- Monitor infrastructure performance, troubleshoot issues, and ensure system availability and reliability.
- Manage virtualized environments and infrastructure using VMware technologies.
- Perform system administration activities, including server management, patching, upgrades, and troubleshooting.
- Configure and troubleshoot networking components, including DNS, DHCP, TCP/IP, firewalls, routing, and load balancing.
- Implement security best practices, access controls, backup strategies, and infrastructure monitoring.
- Collaborate with development, QA, and infrastructure teams to streamline deployment processes and improve operational efficiency.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Title : DevOps Engineer – Linux, AWS & Infrastructure
Experience : 3+ Years
Location : Sector 48, Gurgaon
Work Mode : 6 Days WFO – Monday to Saturday
Week Off : 01st & 03rd Saturday Off
Employment Type : Full-Time
Job Summary :
We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.
Key Responsibilities :
- Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
- Perform system administration, networking, performance monitoring, and production troubleshooting.
- Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
- Manage Docker containers and Kubernetes environments.
- Work with AWS Cloud services, infrastructure, security, and deployment environments.
- Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
- Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
- Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
- Implement infrastructure and application security, access controls, patching, and hardening.
- Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
- Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
- Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.
Mandatory Skills :
Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership
Preferred Skills :
- Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
- Hands-on experience with Terraform / CloudFormation.
- Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
- Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
- Experience handling production incidents, RCA, deployments, and system reliability.
- Exposure to cloud security, IAM, secrets management, and server hardening.
What We’re Looking For :
- 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
- Strong practical knowledge rather than certification-based/theoretical understanding.
- Good troubleshooting and analytical skills.
- Strong sense of ownership and accountability for production systems.
- Comfortable working in a 6-day work-from-office environment.
Job Description
The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.
Responsibilities
- Support onboarding and technical discussions with development teams.
- Provide technical guidance and documentation.
- Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
- Improve platform code, processes and documentation.
- Provide production infrastructure/operations support, including on-call support.
- Research product requirements and new technology rollouts.
Core Mandatory Skills
Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management
Job Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
Job Description – DevOps Engineer
Company: Kanhasoft
Experience: 4+ Years
Location: Ahmedabad (Work from Office)
Employment Type: Full-Time
Job Overview
We are looking for an experienced DevOps Engineer with 4+ years of hands-on experience in managing cloud infrastructure, CI/CD pipelines, deployment automation, and server administration. The ideal candidate should have strong knowledge of cloud platforms, containerization, infrastructure management, and deployment processes to ensure scalable, secure, and reliable application delivery.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
- Manage and maintain cloud infrastructure on AWS, Azure, or Google Cloud.
- Work with Docker and Kubernetes for containerization and orchestration.
- Automate infrastructure provisioning and configuration management.
- Monitor application performance, server health, and system availability.
- Manage Linux servers, networking, security, and troubleshooting.
- Implement backup, disaster recovery, and security best practices.
- Collaborate with development and QA teams to streamline deployment processes.
- Identify and resolve infrastructure, deployment, and production-related issues.
- Optimize cloud resources, performance, and infrastructure costs.
Required Skills & Qualifications
- 4+ years of professional experience in DevOps or Cloud Infrastructure.
- Strong hands-on experience with AWS, Azure, or GCP.
- Good knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of Linux/Unix server administration.
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Knowledge of Git and version control systems.
- Understanding of networking, DNS, load balancing, firewalls, and security.
- Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
- Strong troubleshooting, problem-solving, and communication skills.
Preferred Qualifications
- Experience managing production environments.
- Knowledge of scripting languages such as Bash or Python.
- Experience with cloud security and cost optimization.
- Familiarity with microservices architecture.
What We Are Looking For
- A proactive professional with strong technical and analytical skills.
- Ability to work independently and manage multiple infrastructure tasks.
- Strong collaboration skills to work with cross-functional teams.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon