
We are looking for a DevOps Engineer with hands-on experience in managing production infrastructure using AWS, Kubernetes, and Terraform. The ideal candidate will have exposure to CI/CD tools and queueing systems, along with a strong ability to automate and optimize workflows.
Responsibilities:
* Manage and optimize production infrastructure on AWS, ensuring scalability and reliability.
* Deploy and orchestrate containerized applications using Kubernetes.
* Implement and maintain infrastructure as code (IaC) using Terraform.
* Set up and manage CI/CD pipelines using tools like Jenkins or Chef to streamline deployment processes.
* Troubleshoot and resolve infrastructure issues to ensure high availability and performance.
* Collaborate with cross-functional teams to define technical requirements and deliver solutions.
* Nice-to-have: Manage queueing systems like Amazon SQS, Kafka, or RabbitMQ.
Requirements:
* 2+ years of experience with AWS, including practical exposure to its services in production environments.
* Demonstrated expertise in Kubernetes for container orchestration.
* Proficiency in using Terraform for managing infrastructure as code.
* Exposure to at least one CI/CD tool, such as Jenkins or Chef.
* Nice-to-have: Experience managing queueing systems like SQS, Kafka, or RabbitMQ.

About Inflectionio
Similar jobs
About PGAGI:
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview:
PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.
Key Responsibilities:
AI Model Deployment & Integration
- Assist in containerizing and deploying AI/ML models into production using Docker.
- Support integration of models into existing systems and APIs.
Infrastructure Management
- Help manage cloud and on-premise environments to ensure scalability and consistency.
- Work with Kubernetes for orchestration and environment scaling.
CI/CD Pipeline Automation
- Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
- Implement basic automated testing and rollback mechanisms.
Hosting & Web Environment Management
- Assist in managing hosting platforms, web servers, and CDN configurations.
- Support DNS, load balancer setups, and ensure high availability of web services.
Monitoring, Logging & Optimization
- Set up and maintain monitoring/logging tools like Prometheus and Grafana.
- Participate in troubleshooting and resolving performance bottlenecks.
Security & Compliance
- Apply basic DevSecOps practices including security scans and access control implementations.
- Follow security and compliance checklists under supervision.
Cost & Resource Management
- Monitor resource usage and suggest cost optimization strategies in cloud environments.
Documentation
- Maintain accurate documentation for deployment processes and incident responses.
Continuous Learning & Innovation
- Suggest improvements to workflows and tools.
- Stay updated with the latest DevOps and AI infrastructure trends.
Requirements:
- Around 6 months of experience in a DevOps or related technical role (internship or professional).
- Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
- Exposure to scripting languages (e.g., Bash, Python) is a plus.
- Strong problem-solving skills and eagerness to learn.
- Good communication and documentation abilities.
Compensation
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now
#Devops #Docker #Kubernetes #DevOpsIntern
Job Description: DevOps Engineer
Location: Bangalore / Hybrid / Remote
Company: LodgIQ
Industry: Hospitality / SaaS / Machine Learning
About LodgIQ
Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the
travel industry. By leveraging machine learning and artificial intelligence, we enable precise
forecasting and optimized pricing for hotel revenue management. Backed by Highgate
Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a
global presence.
Role Summary:
We are seeking a Senior DevOps Engineer with 5+ years of strong hands-on experience in
AWS, Kubernetes, CI/CD, infrastructure as code, and cloud-native technologies. This
role involves designing and implementing scalable infrastructure, improving system
reliability, and driving automation across our cloud ecosystem.
Key Responsibilities:
• Architect, implement, and manage scalable, secure, and resilient cloud
infrastructure on AWS
• Lead DevOps initiatives including CI/CD pipelines, infrastructure automation,
and monitoring
• Deploy and manage Kubernetes clusters and containerized microservices
• Define and implement infrastructure as code using
Terraform/CloudFormation
• Monitor production and staging environments using tools like CloudWatch,
Prometheus, and Grafana
• Support MongoDB and MySQL database administration and optimization
• Ensure high availability, performance tuning, and cost optimization
• Guide and mentor junior engineers, and enforce DevOps best practices
• Drive system security, compliance, and audit readiness in cloud environments
• Collaborate with engineering, product, and QA teams to streamline release
processes
Required Qualifications:
• 5+ years of DevOps/Infrastructure experience in production-grade environments
• Strong expertise in AWS services: EC2, EKS, IAM, S3, RDS, Lambda, VPC, etc.
• Proven experience with Kubernetes and Docker in production
• Proficient with Terraform, CloudFormation, or similar IaC tools
• Hands-on experience with CI/CD pipelines using Jenkins, GitHub Actions, or
similar
• Advanced scripting in Python, Bash, or Go
• Solid understanding of networking, firewalls, DNS, and security protocols
• Exposure to monitoring and logging stacks (e.g., ELK, Prometheus, Grafana)
• Experience with MongoDB and MySQL in cloud environments
Preferred Qualifications:
• AWS Certified DevOps Engineer or Solutions Architect
• Experience with service mesh (Istio, Linkerd), Helm, or ArgoCD
• Familiarity with Zero Downtime Deployments, Canary Releases, and Blue/Green
Deployments
• Background in high-availability systems and incident response
• Prior experience in a SaaS, ML, or hospitality-tech environment
Tools and Technologies You’ll Use:
• Cloud: AWS
• Containers: Docker, Kubernetes, Helm
• CI/CD: Jenkins, GitHub Actions
• IaC: Terraform, CloudFormation
• Monitoring: Prometheus, Grafana, CloudWatch
• Databases: MongoDB, MySQL
• Scripting: Bash, Python
• Collaboration: Git, Jira, Confluence, Slack
Why Join Us?
• Competitive salary and performance bonuses.
• Remote-friendly work culture.
• Opportunity to work on cutting-edge tech in AI and ML.
• Collaborative, high-growth startup environment.
• For more information, visit http://www.lodgiq.com
Primary Skills:
Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS
Additional Skills Required:
- Should have experience working with Jenkins, Git, Gerrit
- Should have Good understanding of AWS Security and execution.
- Should have Good python skills
- Should have experience of working with GIT, Gerrit, Jira, Confluence,
- Exposure to messaging systems Rabbit MQ
- Exposure to Html, Groovy, Javascript, shell scripting
- Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
- Exposure to Android skills.
- Should have experience in working with cloud-native architecture.
- Experience with log stash and elastic search
- Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
- May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
- Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
- Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation
Key Responsibilities:
- Perform a Technical Lead role for DevOPs development and support teams.
- Need to communicate & coordinate with both offshore and onsite teams
- Should translate business requirements into project plans and workable item/activities
- Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
- Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
- Understand the current applications and technical architecture and improvise them as needed.
- Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc
Key Responsibilities
• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.
• Creating and managing build and release pipelines with Azure DevOps and Jenkins.
• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.
• Troubleshoot server performance issues & handle the continuous integration system.
• Automate infrastructure provisioning using ARM Templates and Terraform.
• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.
• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.
• Deploy and manage Infrastructure for production applications
• Configure security best practices for application and infrastructure
Essential Requirements
• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)
• Strong knowledge of CI/CD principles.
• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.
• Experience of writing automation scripts with PowerShell, Bash, Python, etc.
• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.
• Understanding of secure DevOps practices
Good to Have -
•Knowledge of scripting languages such as PowerShell, Bash
• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.
• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)
• Strong communication skills and ability to explain protocol and processes with team and management.
• Must be able to handle multiple tasks and adapt to a constantly changing environment.
• Must have a good understanding of SDLC.
• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.
• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.
• Organized, flexible, and analytical ability to solve problems creatively
Job Description
• Minimum 3+ yrs of Experience in DevOps with AWS Platform
• Strong AWS knowledge and experience
• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
• Experience with IAC tools Terraform
• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
• Significant experience with Linux operating system environments
• Experience with infrastructure scripting solutions such as Python/Shell scripting
• Must have experience in designing Infrastructure automation framework.
• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
• Excellent problem-solving, Log Analysis and troubleshooting skills
• Experience in setting up centralized logging for system (EKS, EC2) and application
• Process-oriented with great documentation skills
• Ability to work effectively within a team and with minimal supervision
Exposure to development and implementation practices in a modern systems environment together with exposure to working in a project team particularly with reference to industry methodologies, e.g. Agile, continuous delivery, etc
- At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Experience using DevOps methodology and Infrastructure as Code
- Automation / CI/CD tools – Bitbucket Pipelines, Jenkins
- Infrastructure as code – Terraform, Cloudformation, etc
- Strong experience deploying and managing infrastructure with Terraform
- Automated provisioning and configuration management – Ansible, Chef, Puppet
- Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
- Improve CI/CD processes, support software builds and CI/CD of the development departments
- Develop, maintain, and optimize automated deployment code for development, test, staging and production environments
- Develop and Maintain IAC using Terraform and Ansible
- Draft design documents that translate requirements into code.
- Deal with challenges associated with scale.
- Assume responsibilities from technical design through technical client support.
- Manage expectations with internal stakeholders and context-switch in a fast paced environment.
- Thrive in an environment that uses Elasticsearch extensively.
- Keep abreast of technology and contribute to the engineering strategy.
- Champion best development practices and provide mentorship
An AWS Certified Engineer with strong skills in
- Terraform o Ansible
- *nix and shell scripting
- Elasticsearch
- Circle CI
- CloudFormation
- Python
- Packer
- Docker
- Prometheus and Grafana
- Challenges of scale
- Production support
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time.
SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations.
Day to day responsibilities include:
- Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
- Work on Linux/Unix OS and Multi tech application patching
- Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
- Create and modify scripts or applications to perform tasks
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it.
- Managing release of the sprint.
- Educating team of the best practices.
- Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
- Implementing cost effective measure on cloud and minimizing existing costs.
Skills and prerequisites
- OOPS knowledge
- Problem solving nature
- Willing to do the R&D
- Works with the team and support their queries patiently
- Bringing new things on the table - staying updated
- Pushing solution above a problem.
- Willing to learn and experiment
- Techie at heart
- Git basics
- Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
- Basic Linux handling
- Docker and orchestration (Great to have)
- Scripting – python (preferably)/bash
We are looking for a self motivated and goal oriented candidate to lead in architecting, developing, deploying, and maintaining first class, highly scalable, highly available SaaS platforms.
This is a very hands-on role. You will have a significant impact on Wenable's success.
Technical Requirements:
8+ years SaaS and Cloud Architecture and Development with frameworks such as:
- AWS, GoogleCloud, Azure, and/or other
- Kafka, RabbitMQ, Redis, MongoDB, Cassandra, ElasticSearch
- Docker, Kubernetes, Helm, Terraform, Mesos, VMs, and/or similar orchestration, scaling, and deployment frameworks
- ProtoBufs, JSON modeling
- CI/CD utilities like Jenkins, CircleCi, etc..
- Log aggregation systems like Graylog or ELK
- Additional development tools typically used in orchestration and automation like Python, Shell, etc...
- Strong security best practices background
- Strong software development a plus
Leadership Requirements:
- Strong written and verbal skills. This role will entail significant coordination both internally and externally.
- Ability to lead projects of blended teams, on/offshore, of various sizes.
- Ability to report to executive and leadership teams.
- Must be data driven, and objective/goal oriented.










