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Company Overview:
Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions and high-performance digital infrastructure. Operating at the intersection of cloud engineering and enterprise software, the company empowers businesses to streamline their operations through robust, automated, and secure platforms. With a culture rooted in technical excellence and collaborative problem-solving, Euphoric Thought Technologies supports a diverse range of clients in optimizing their digital footprint and accelerating their time-to-market.
Role Overview:
As a Senior DevOps Engineer, you will serve as a cornerstone of our engineering team in Bangalore, taking ownership of the end-to-end reliability and scalability of our cloud environments. You will work closely with software developers, product managers, and security teams to bridge the gap between code development and production deployment. Your daily efforts will directly influence the stability of our platforms, ensuring that our infrastructure is not only resilient but also highly automated to support rapid business growth and seamless user experiences.
Key Responsibilities:
- Architect and maintain highly available CI/CD pipelines to accelerate software delivery cycles and ensure consistent deployment quality across environments.
- Manage and scale containerized applications using Kubernetes and Docker to optimize resource utilization and application performance.
- Implement Infrastructure as Code (IaC) using Terraform to ensure environment consistency and enable rapid provisioning of cloud resources.
- Automate routine operational tasks and configuration management using Ansible and Python scripts to reduce manual overhead and human error.
- Monitor cloud infrastructure health and security posture within AWS to proactively identify and resolve bottlenecks or vulnerabilities.
- Collaborate with cross-functional teams to define and implement best practices for cloud-native development, ensuring high standards of security and operational excellence.
Required Skillset:
- Demonstrated expertise in managing large-scale cloud computing environments on AWS, with a deep understanding of cloud architecture and cost-optimization strategies.
- Proven ability to design and maintain complex CI/CD workflows using Jenkins, ensuring seamless integration and delivery for high-traffic applications.
- Strong proficiency in scripting and automation using Python, with a focus on building reusable tools that enhance team productivity.
- Exceptional problem-solving skills and the ability to troubleshoot complex production issues in a high-pressure, fast-paced environment.
- Strong interpersonal skills with the ability to communicate technical concepts clearly to both engineering and non-technical stakeholders.
- Ability to work effectively in a hybrid work environment, demonstrating self-discipline and a proactive approach to team collaboration.
- A minimum of 7 - 8 years of professional experience in DevOps and infrastructure engineering roles.
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
Job Title: Data Architect - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise.
Skill-sets Required:
- Design Enterprise Data Models
- Azure Data Specialist
- Security and Risk
- GDPR and other compliance knowledge
- Scrum/Agile
Job Role:
- Design and implement effective database solutions and models to store and retrieve company data
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: NO BAR .
- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
Why LiftOff?
We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.
Many on the team are serial entrepreneurs with a history of successful exits.
As a Devops Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.
Must Have
*Work experience of at least 2 years with Kubernetes.
*Hands-on experience working with Kubernetes. Preferably on Azure Cloud.
*Well-versed with Kubectl
*Experience in using Azure Monitor, setting up analytics and reports for Azure containers and services.
*Monitoring and observability
*Setting Alerts and auto-scaling
Nice to have
*Scripting and automation
*Experience with Jenkins or any sort of CI/CD pipelines
*Past experience in setting up cloud infrastructure, configurations and database backups
*Experience with Azure App Service
*Experience of setting up web socket-based applications.
*Working knowledge of Azure APIM
We are a group of passionate people driven by core values. We strive to make every process transparent and have flexible work timings along with excellent startup culture and vibe.
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field
We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.
You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge.
We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.
REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.
Duties and Responsibilities :
- Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
- Build, release, and configuration management of production systems.
- System troubleshooting and problem-solving across platform and application domains.
- Suggesting architecture improvements, recommending process improvements.
- Evaluate new technology options and vendor products.
- Function well in a fast-paced, rapidly-changing environment
- Communicate effectively with people at all levels of the organization
Qualifications and Required Skills:
- Overall 3+ years of experience in various software engineering roles.
- 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
- Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
- Expertise in any of the programming languages – (NodeJS or Python preferable)
- Must have hands-on experience in using AWS/Azure - SDK/APIs.
- Must have experience in deploying, releasing, and managing production systems
- MCA or a degree in engineering in Computer Science, IT, or Electronics stream
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.













