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

About Hubilo Softech Private Limited
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Required Skills: Advanced AWS Infrastructure Expertise, CI/CD Pipeline Automation, Monitoring, Observability & Incident Management, Security, Networking & Risk Management, Infrastructure as Code & Scripting
Criteria:
- 5+ years of DevOps/SRE experience in cloud-native, product-based companies (B2C scale preferred)
- Strong hands-on AWS expertise across core and advanced services (EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, VPC, IAM, ELB/ALB, Route53)
- Proven experience designing high-availability, fault-tolerant cloud architectures for large-scale traffic
- Strong experience building & maintaining CI/CD pipelines (Jenkins mandatory; GitHub Actions/GitLab CI a plus)
- Prior experience running production-grade microservices deployments and automated rollout strategies (Blue/Green, Canary)
- Hands-on experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.)
- Solid hands-on experience with MongoDB in production, including performance tuning, indexing & replication
- Strong scripting skills (Bash, Shell, Python) for automation
- Hands-on experience with IaC (Terraform, CloudFormation, or Ansible)
- Deep understanding of networking fundamentals (VPC, subnets, routing, NAT, security groups)
- Strong experience in incident management, root cause analysis & production firefighting
Description
Role Overview
Company is seeking an experienced Senior DevOps Engineer to design, build, and optimize cloud infrastructure on AWS, automate CI/CD pipelines, implement monitoring and security frameworks, and proactively identify scalability challenges. This role requires someone who has hands-on experience running infrastructure at B2C product scale, ideally in media/OTT or high-traffic applications.
Key Responsibilities
1. Cloud Infrastructure — AWS (Primary Focus)
- Architect, deploy, and manage scalable infrastructure using AWS services such as EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, ELB/ALB, VPC, IAM, Route53, etc.
- Optimize cloud cost, resource utilization, and performance across environments.
- Design high-availability, fault-tolerant systems for streaming workloads.
2. CI/CD Automation
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
- Automate deployments for microservices, mobile apps, and backend APIs.
- Implement blue/green and canary deployments for seamless production rollouts.
3. Observability & Monitoring
- Implement logging, metrics, and alerting using tools like Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.
- Perform proactive performance analysis to minimize downtime and bottlenecks.
- Set up dashboards for real-time visibility into system health and user traffic spikes.
4. Security, Compliance & Risk Highlighting
• Conduct frequent risk assessments and identify vulnerabilities in:
o Cloud architecture
o Access policies (IAM)
o Secrets & key management
o Data flows & network exposure
• Implement security best practices including VPC isolation, WAF rules, firewall policies, and SSL/TLS management.
5. Scalability & Reliability Engineering
- Analyze traffic patterns for OTT-specific load variations (weekends, new releases, peak hours).
- Identify scalability gaps and propose solutions across:
- o Microservices
- o Caching layers
- o CDN distribution (CloudFront)
- o Database workloads
- Perform capacity planning and load testing to ensure readiness for 10x traffic growth.
6. Database & Storage Support
- Administer and optimize MongoDB for high-read/low-latency use cases.
- Design backup, recovery, and data replication strategies.
- Work closely with backend teams to tune query performance and indexing.
7. Automation & Infrastructure as Code
- Implement IaC using Terraform, CloudFormation, or Ansible.
- Automate repetitive infrastructure tasks to ensure consistency across environments.
Required Skills & Experience
Technical Must-Haves
- 5+ years of DevOps/SRE experience in cloud-native, product-based companies.
- Strong hands-on experience with AWS (core and advanced services).
- Expertise in Jenkins CI/CD pipelines.
- Solid background working with MongoDB in production environments.
- Good understanding of networking: VPCs, subnets, security groups, NAT, routing.
- Strong scripting experience (Bash, Python, Shell).
- Experience handling risk identification, root cause analysis, and incident management.
Nice to Have
- Experience with OTT, video streaming, media, or any content-heavy product environments.
- Familiarity with containers (Docker), orchestration (Kubernetes/EKS), and service mesh.
- Understanding of CDN, caching, and streaming pipelines.
Personality & Mindset
- Strong sense of ownership and urgency—DevOps is mission critical at OTT scale.
- Proactive problem solver with ability to think about long-term scalability.
- Comfortable working with cross-functional engineering teams.
Why Join company?
• Build and operate infrastructure powering millions of monthly users.
• Opportunity to shape DevOps culture and cloud architecture from the ground up.
• High-impact role in a fast-scaling Indian OTT product.
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Company Overview
Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge.
Position Overview
We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability.
Key Responsibilities
- Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices.
- Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency.
- Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users.
- Implement and manage CI/CD pipelines to automate software delivery and ensure code quality.
- Manage and configure cloud-based infrastructure services to optimize performance and cost.
- Collaborate with development teams to design and implement scalable, reliable, and secure applications.
- Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues.
- Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data.
- Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability.
- Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role
- Strong understanding of cloud computing principles and experience with AWS
- Experience of building and supporting complex CI/CD pipelines using Github
- Experience of building and supporting infrastructure as a code using Terraform
- Proficiency in scripting and automating tools
- Solid understanding of networking concepts and protocols
- Understanding of security best practices and experience implementing security controls in cloud environments
- Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage.
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.
Client: Sony Corporation
Position: 3
Exp: 5-8Years
DevOps Engineer
Location: Bangalore
Budget: 16.5 LPA Max
Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK
- Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
- Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
- Docker and Kubernetes (EKS)
- Linux/UNIX Administration (Amazon Linux and RedHat).
- Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
- Automate infrastructure and application deployment-related tasks using terraform.
- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
Responsibilities
- Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
- Build AWS or other public cloud infrastructure using Terraform.
- Deploy and manage Kubernetes (EKS) based docker applications in AWS.
- Create custom OS images using Packer.
- Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
- Liaison between application development, infrastructure support, and tools (IT Services) teams.
- Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
- Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
- Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
- Learn on the job and explore new technologies with little supervision.
- Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.
Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
- Excellent problem-solving skills with a desire to take on responsibility.
- Extensive knowledge in containerized application and deployment in Kubernetes
- Extensive knowledge of the Linux operating system, RHEL preferred.
- Proficiency with shell scripting.
- Experience with Java application servers.
- Experience with GiT and Subversion.
- Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
- Experience working in a large-scale operational environment.
- Internet and operating system security fundamentals.
- Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
- Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
- Experience with Configuration Management Automation tools (chef or puppet).
- Experience with virtualization, preferably on multiple hypervisors.
- BS/MS in Computer Science or equivalent experience.
- Excellent written and verbal skills.
Education or Equivalent Experience:
- Bachelor's degree or equivalent education in related fields
- Certificates of training in associated fields/equipment’s
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.

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
- Expertise in Infrastructure & Application design & architecture
- Expertise in AWS, OS & networking
- Having good exposure on Infra & Application security
- Expertise in Python, Shell scripting
- Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
- Solid background in systems engineering and operations
- Strong in Devops methodologies and processes
- Strong in CI/CD pipeline & SDLC.







