
Senior DevOps Engineer
Experience: Minimum 5 years of relevant experience
Key Responsibilities:
• Hands-on experience with AWS tools and CI/CD pipelines, Redhat Linux
• Strong expertise in DevOps practices and principles
• Experience with infrastructure automation and configuration management
• Excellent problem-solving skills and attention to detail
Nice to Have:
• Redhat certification

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Position: DevOps Engineer / Senior DevOps Engineer
Experience: 3 to 6 Years
Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline
Job Description:
- AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
- Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
- API Management: Design and manage secure, scalable APIs using AWS API Gateway.
- CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
- Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
- Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
- Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
- Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
- Cost Management: Monitor and optimize AWS usage and costs.
- Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.
REVIEW CRITERIA:
MANDATORY:
- Strong Senior/Lead DevOps Engineer Profile
- Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
- Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
- Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
- Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
- Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
- Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
- Its an IC role
PREFERRED:
- Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
- Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
- Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
- Architect and manage AWS environments ensuring scalability, security, and high availability.
- Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
- Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
- Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
- Deploy and operate workloads on Docker and Kubernetes (EKS).
- Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
- Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
- Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
- Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
- Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
- Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
- Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Manage data reliability, performance tuning, and cloud-native integrations.
- Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
- 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
- Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
- Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
- Proven ability with CI/CD pipeline automation and DevSecOps practices.
- Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
- Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Strong scripting skills (Shell/bash, Python, or similar) for automation.
- Bachelor / Master’s degree
- Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Job Title: DevOps Engineer
Job Description: We are seeking an experienced DevOps Engineer to support our Laravel, JavaScript (Node.js, React, Next.js), and Python development teams. The role involves building and maintaining scalable CI/CD pipelines, automating deployments, and managing cloud infrastructure to ensure seamless delivery across multiple environments.
Responsibilities:
Design, implement, and maintain CI/CD pipelines for Laravel, Node.js, and Python projects.
Automate application deployment and environment provisioning using AWS and containerization tools.
Manage and optimize AWS infrastructure (EC2, ECS, RDS, S3, CloudWatch, IAM, Lambda).
Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Manage configuration automation using Ansible.
Build and manage containerized environments using Docker (Kubernetes is a plus).
Monitor infrastructure and application performance using CloudWatch, Prometheus, or Grafana.
Ensure system security, data integrity, and high availability across environments.
Collaborate with development teams to streamline builds, testing, and deployments.
Troubleshoot and resolve infrastructure and deployment-related issues.
Required Skills:
AWS (EC2, ECS, RDS, S3, IAM, Lambda)
CI/CD Tools: Jenkins, GitLab CI/CD, AWS CodePipeline, CodeBuild, CodeDeploy
Infrastructure as Code: Terraform or AWS CloudFormation Configuration Management: Ansible
Containers: Docker (Kubernetes preferred)
Scripting: Bash, Python
Version Control: Git, GitHub, GitLab
Web Servers: Apache, Nginx (preferred)
Databases: MySQL, MongoDB (preferred)
Qualifications:
3+ years of experience as a DevOps Engineer in a production environment.
Proven experience supporting Laravel, Node.js, and Python-based applications.
Strong understanding of CI/CD, containerization, and automation practices.
Experience with infrastructure monitoring, logging, and performance optimization.
Familiarity with agile and collaborative development processes.
Job Title: Lead DevOps Engineer
Experience Required: 8+ years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
8+ years of experience in DevOps or Site Reliability Engineering (SRE).
3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.
We are seeking a skilled DevOps Engineer with 3+ years of experience to join our team on a permanent work-from-home basis.
Responsibilities:
- Develop and maintain infrastructure using Ansible.
- Write Ansible playbooks.
- Implement CI/CD pipelines.
- Manage GitLab repositories.
- Monitor and troubleshoot infrastructure issues.
- Ensure security and compliance.
- Document best practices.
Qualifications:
- Proven DevOps experience.
- Expertise with Ansible and CI/CD pipelines.
- Proficient with GitLab.
- Strong scripting skills.
- Excellent problem-solving and communication skills.
Regards,
Aishwarya M
Associate HR
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.
- Bachelor of Computer Science or Equivalent Education
- At least 5 years of experience in a relevant technical position.
- Azure and/or AWS experience
- Strong in CI/CD concepts and technologies like GitOps (Argo CD)
- Hands-on experience with DevOps Tools (Jenkins, GitHub, SonarQube, Checkmarx)
- Experience with Helm Charts for package management
- Strong in Kubernetes, OpenShift, and Container Network Interface (CNI)
- Experience with programming and scripting languages (Spring Boot, NodeJS, Python)
- Strong container image management experience using Docker and distroless concepts
- Familiarity with Shared Libraries for code reuse and modularity
- Excellent communication skills (verbal, written, and presentation)
Note: Looking for immediate joiners only.
Job Title: DevOps SDE llI
Job Summary
Porter seeks an experienced cloud and DevOps engineer to join our infrastructure platform team. This team is responsible for the organization's cloud platform, CI/CD, and observability infrastructure. As part of this team, you will be responsible for providing a scalable, developer-friendly cloud environment by participating in the design, creation, and implementation of automated processes and architectures to achieve our vision of an ideal cloud platform.
Responsibilities and Duties
In this role, you will
- Own and operate our application stack and AWS infrastructure to orchestrate and manage our applications.
- Support our application teams using AWS by provisioning new infrastructure and contributing to the maintenance and enhancement of existing infrastructure.
- Build out and improve our observability infrastructure.
- Set up automated auditing processes and improve our applications' security posture.
- Participate in troubleshooting infrastructure issues and preparing root cause analysis reports.
- Develop and maintain our internal tooling and automation to manage the lifecycle of our applications, from provisioning to deployment, zero-downtime and canary updates, service discovery, container orchestration, and general operational health.
- Continuously improve our build pipelines, automated deployments, and automated testing.
- Propose, participate in, and document proof of concept projects to improve our infrastructure, security, and observability.
Qualifications and Skills
Hard requirements for this role:
- 5+ years of experience as a DevOps / Infrastructure engineer on AWS.
- Experience with git, CI / CD, and Docker. (We use GitHub, GitHub actions, Jenkins, ECS and Kubernetes).
- Experience in working with infrastructure as code (Terraform/CloudFormation).
- Linux and networking administration experience.
- Strong Linux Shell scripting experience.
- Experience with one programming language and cloud provider SDKs. (Python + boto3 is preferred)
- Experience with configuration management tools like Ansible and Packer.
- Experience with container orchestration tools. (Kubernetes/ECS).
- Database administration experience and the ability to write intermediate-level SQL queries. (We use Postgres)
- AWS SysOps administrator + Developer certification or equivalent knowledge
Good to have:
- Experience working with ELK stack.
- Experience supporting JVM applications.
- Experience working with APM tools is good to have. (We use datadog)
- Experience working in a XaaC environment. (Packer, Ansible/Chef, Terraform/Cloudformation, Helm/Kustomise, Open policy agent/Sentinel)
- Experience working with security tools. (AWS Security Hub/Inspector/GuardDuty)
- Experience with JIRA/Jira help desk.
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
We are having an excellent job opportunity for the position for AWS Infra Architect for one of the reputed Multinational Company at Hyderabad.
Mandate Skills : Please find the below expectations
- We need at-least 3+ years of experience as an Architect in AWS Primary Skills
- Designing, Planning, Implementation , Providing the solutions in Designing the Architecture
- Automation Using Terraform / Powershell /Python
- Should have good experience in Cloud formation Templates
- Experience in Cloudwatch
- Security in AWS
- Strong Linux Administration skills










