
Job Title: Senior DevOps Engineer
Location: Sector 39, Gurgaon (Onsite)
Employment Type: Full-Time
Working Days: 6 Days (Alternate Saturdays Working)
Experience Required: 5+ Years
Team Role: Lead & Mentor a team of 3–4 engineers
About the Role
We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.
Key Responsibilities
Infrastructure & Server Management (60%)
- Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
- Configure network bonding, firewalls, and system security for optimal performance and reliability.
- Implement and maintain high-availability solutions for mission-critical systems.
Queue Systems (Kafka / RabbitMQ) (15%)
- Deploy and manage message queue systems to support high-throughput, real-time data exchange.
- Ensure reliable event-driven communication between distributed services.
Storage Systems (SAN/NAS) (15%)
- Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
- Optimize storage performance, redundancy, and availability.
Database Administration (5%)
- Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
- Handle backup, recovery, replication, and performance tuning.
General DevOps & Automation
- Deploy product updates, patches, and fixes while ensuring minimal downtime.
- Design and manage CI/CD pipelines using Jenkins or similar tools.
- Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
- Manage web and application servers (Apache httpd, Tomcat).
- Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
- Conduct root cause analysis and implement automation to reduce manual interventions.
- Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.
Required Skills & Qualifications
✅ 5+ years of proven DevOps engineering experience
✅ Strong expertise in Linux administration & shell scripting
✅ Hands-on experience with bare-metal server management & storage systems
✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible
✅ Experience with Kafka or RabbitMQ in production environments
✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)
✅ Excellent problem-solving, troubleshooting, and leadership abilities
✅ Strong communication skills with the ability to mentor and lead teams
Good to Have
- Experience in Telecom projects involving SMS, voice, or real-time data handling.

About NeoGenCode Technologies Pvt Ltd
About
Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.
Candid answers by the company
IT & Engineering Talent Staffing
- Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
- Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
- Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.
2. End-to-End Project Delivery
- Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
- Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .
3. Additional Offerings
- Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
- Provides strategic IT consulting to align technology solutions with business objectives
Similar jobs
Job Title : Azure DevOps Engineer
Experience Required : 7+ Years
Work Mode : Remote / Hybrid
Location : Remote
Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)
Interview Mode : Face-to-Face or Virtual
Open Positions : 2
Job Description :
We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.
Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.
Key Responsibilities :
- Manage deployments for Dynamics 365 and proxy applications
- Run and maintain ADO pipelines and GitHub Actions
- Ensure proper status updates on ADO Boards and deployed work items
- Coordinate with QA teams to execute smoke testing post-deployment
- Communicate deployment progress across team channels effectively
- Monitor deployment cycles, approval gates, logs, and alerts
- Ensure smooth integration of infrastructure and DevOps practices
Mandatory Skills :
- Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
- Proven expertise in building pipelines using Azure DevOps and GitHub.
- Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
- Hands-on with Azure services like :
- App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
- vNet, Managed Identity, KeyVault, AppConfig, App Insights.
- Basic Azure Fundamentals Certification (AZ-900).
- Excellent communication skills in English.
Nice to Have :
- Experience in managing large enterprise-scale deployments.
- Familiarity with branching strategies and monitoring tools.
- Exposure to Approval Gates and Deployment Governance.
The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security.
Key Responsibilities
•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments
•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models
•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod
•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies
•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions
•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures
•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations
•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage
•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement
•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools
•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity
Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads
•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services
•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM)
•Scripting experience using PowerShell and/or Python
•Experience supporting production platforms with incident management, change control, and root cause analysis
•Understanding of cloud security fundamentals and enterprise governance requirements
Preferred Qualifications
•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks
•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS)
•Experience supporting data pipelines or feature stores used by machine learning systems
•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms
•Experience with observability tools
•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems
•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

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
🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀
📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks
Review Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Role: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
Intuitive is now hiring for DevOps Consultant for full-time employment
DevOps Consultant
Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)
Key Skills / Requirements:
- Mandatory
- Integrating Jenkins pipelines with Terraform and Kubernetes
- Writing Jenkins JobDSL and Jenkinsfiles using Groovy
- Automation and integration with AWS using Python and AWS CLI
- Writing ad-hoc automation scripts using Bash and Python
- Configuring container-based application deployment to Kubernetes
- Git and branching strategies
- Integration of tests in pipelines
- Build and release management
- Deployment strategies (eg. canary, blue/green)
- TLS/SSL certificate management
- Beneficial
- Service Mesh
- Deployment of Java Spring Boot based applications
- Automated credential rotation using AWS Secrets Manager
- Log management and dashboard creation using Splunk
- Application monitoring using AppDynamics
If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud
Regards,
Anitha. K
TAG Specialist
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL








