Certified Ethical Hacker Requirements:
- Bachelor’s degree in Information Technology or Computer Science.
- CEH Certification.
- Proven work experience of at least 2-5 years as a Certified Ethical Hacker.
- Effective Programming Skills required but not limited to HTML, JavaScript, Python, PHP, SQL etc.
- Advanced knowledge of networking systems and security software.
- In-depth knowledge of parameter manipulation, session hijacking, and cross-site scripting.
- Technical knowledge of routers, firewalls, and server systems.
- Good written and verbal communication skills.
- Good troubleshooting skills.
- Ability to see big-picture system flaws.
- B.Tech/B.E.(IT/Computers), B.Sc( Computers), MSc (IT), BCA (Computer) or any equivalent graduation or post-graduation

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- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Job Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.

Job Details
- Job Title: Senior DevOps Engineer
- Industry: Consumer Internet, Technology & Travel and Tourism Platform
- Function - IT
- Experience Required: 4-7 years
- Employment Type: Full Time
- Job Location: Bengaluru
- CTC Range: Best in Industry
Criteria:
- Strong DevOps / Infrastructure Engineer Profiles.
- Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
- Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
- Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
- Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
- Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
- Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
- Candidates must be from B2C Product-based companies only.
- (Education) – BE / B.Tech or equivalent
Preferred
- Experience working with microservices or event-driven architectures.
- Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
- (Skills) – Understanding of programming languages such as Go, Python, or Java.
- Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.
Job Description
As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
- Codify our infrastructure
- Do what it takes to keep the uptime above 99.99%
- Understand the bigger picture and sail through the ambiguities
- Scale technology considering cost and observability and manage end-to-end processes
- Understand DevOps philosophy and evangelize the principles across the organization
- Strong communication and collaboration skills to break down the silos
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.
- 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
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- 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 – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must-Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash, shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Nagios or similar), IaC(Terraform, cloud formation).
As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
Contract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)

Must Have Skills
- AWS Solutions Architect and/or DevOps certification, Professional preferred
- BS level technical degree or equivalent experience; Computer Science or Engineering background preferred
- Hands-on technical expertise on Amazon Web Services (AWS) to include but not limited to EC2, VPC, IAM, Security groups, ELB/NLB/ALB, Internet gateway, S3, EBS and EFS.
- Experience in migration-deployment of applications to Cloud, re-engineering of application for cloud, setting up OS and app environments in virtualized cloud
- DevOps automation, CI/CD, infrastructure/services provisioning, application deployment and configuration
- DevOps toolsets to include Ansible, Jenkins and XLdeploy, XLrelease
- Deploy and configuration of Java/Wildfly, Springboot, JavaScript/Node.js and Ruby applications and middleware
- Scripting in Shell (bash) and Extensive Python
- Agile software development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Linux (RHEL) administration/engineering
Experience:
- Deploying, configuring, and supporting large scale monolithic and microservices based SaaS applications
- Working as both an infrastructure and application migration specialist
- Identifying and documenting application requirements for network, F5, IAM, and security groups
- Implementing DevOps practices such as infrastructure as code, continuous integration, and automated deployment
- Work with Technology leadership to understand business goals and requirements
- Experience with continuous integration tools
- Experience with configuration management platforms
- Writing and diagnosing issues with complex shell scripts
- Strong practical application development experience on Linux and Windows-based systems









