
We are looking for an experienced DevOps engineer that will help our team establish DevOps
practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices. This would be a hybrid role and the person would be expected to also do some application-level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and
platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration
management tools with a goal to be able to re-provision environments at any point in
time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based
auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom
workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a
sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming
languages.
- Extensive experience in any Javascript based framework since we will be deploying
services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.

Similar jobs
Requirements:
• Previously help a DevOps Engineer or System Engineer role
• 4+ years of production Linux system admin experience in high traffic environment
• 1+ years of experience with Amazon AWS and related services (instances, ELB,
EBS, S3, etc.) and abstractions on top of AWS.
• Strong understanding of network fundamentals, IP and related services (DNS, VPN, firewalls, etc.) and
security concerns.
• Experience in running Docker and Kubernetes clusters in production.
• Love automating mundane tasks and make developers life easy
• Must be able to code in, at a minimum, Python (or Ruby) and Bash.
• Non-trivial production experience with Saltstack and/or Puppet, Composer,Jenkins, GIT
• Agile software development best practices - continuous integration, releases,branches, etc.
• Experience with modern monitoring tools; capacity planning.
• Some experience with MySQL, PostgreSQL, ElasticSearch, Node.js, and PHP is a plus.
• Self-motivated, fast learner, detail-oriented, team player with a sense of humor
Experience in managing CI/CD using Jenkins.
We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.
The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.
Key Responsibilities
Cloud Architecture & Engineering
• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.
• Define cloud architecture standards, reference architectures, and best practices.
• Lead cloud migration and modernisation initiatives across enterprise workloads.
• Implement multi-region disaster recovery and business continuity strategies.
• Oversee Azure networking, identity, security, and governance frameworks.
DevOps & CI/CD
• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.
• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.
• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.
• Establish branching strategies, release management, and environment promotion standards.
• Define and enforce platform engineering standards and internal developer tooling.
AI & Machine Learning Integration
• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.
• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.
• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.
• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.
• Design and implement enterprise MLOps frameworks.
• Build automated model training, validation, deployment, and monitoring pipelines.
• Establish model governance and lifecycle management.
Generative AI & Agentic AI
- Design enterprise GenAI solutions using Azure OpenAI.
- Build AI Agents using Azure AI Foundry.
- Develop Agent-to-Agent communication patterns.
- Implement Retrieval Augmented Generation (RAG) architectures.
- Build enterprise Knowledge Management and AI Skill Registry platforms.
- Design multi-agent orchestration frameworks.
Leadership & Stakeholder Engagement
• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.
• Mentor and guide junior architects, developers, and DevOps engineers.
• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.
• Produce architecture documentation, decision records (ADRs), and roadmaps.
• Represent the technology function in enterprise architecture forums and governance boards.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in cloud engineering and architecture.
• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.
• Proven experience designing and implementing enterprise-grade CI/CD pipelines.
• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).
• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).
• Deep knowledge of DevSecOps principles, tools, and practices.
• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).
• Proficiency in scripting and development: Python, PowerShell, Bash.
• Excellent communication and stakeholder management skills.
Preferred Qualifications
• Microsoft Certified: Azure Solutions Architect Expert.
• Microsoft Certified: DevOps Engineer Expert.
• Microsoft Certified: Azure AI Engineer Associate.
• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.
• Familiarity with Datadog, Prometheus, or equivalent observability platforms.
• Experience in the real estate, retail, or enterprise industry sector.
• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).
• Background in building Internal Developer Platforms (IDP).
Technical Skills
Domain
Technologies / Tools
Cloud Platform
Microsoft Azure (UAE North / Global)
DevOps & CI/CD
Azure DevOps, GitHub Actions, Jenkins
IaC
Terraform, Bicep, ARM Templates
AI / ML
Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services
Containers
Docker, Kubernetes (AKS), Azure Container Apps
Identity & Security
Microsoft Entra ID, Azure Policy, Defender for Cloud
Observability
Datadog, Azure Monitor, Log Analytics, Application Insights
Databases
Azure SQL, PostgreSQL, Cosmos DB
Languages
Python, PowerShell, Bash, YAML
Exp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
- Develop and Deploy Software:
- Architect and create an effective build and release process using industry best practices and tools
- Create and manage build scripts to deploy software in a multi-cloud environment
- Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
- Manage Release Schedule:
- Act as a “gate keeper” for all releases into production
- Work closely with business stakeholders, development managers and developers to prepare a release schedule
- Help prioritize deployment requests for version upgrades, patches and hot-fixes
- Continuous Delivery of Software:
- Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
- Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
- Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
- Manage Version Control:
- Define and implement branching policies to efficiently manage source-code
- Implement business rules as a part of source control standards
- Resolve Software Issues:
- Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
- Address deployment related issues
- Maintain Release Documentation:
- Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
About Hop:
We are a London, UK based FinTech startup with a subsidiary in India. Hop is working towards building the next generation digital banking platform for seamless and economical currency exchange, with technology at the crux of it. In a technology driven era, many financial services platforms still lack the customer experience and are cumbersome to use. Hop aims at building a ‘state of the art’ tech-centric, customer focused solution.
moneyHOP is India’s first cross-border neo-bank providing millennials the ability to ‘Send’ & ‘Spend’ conveniently and economically across the globe using HOPRemit (An online remittance portal) and HOP app + Card (A multi-currency bank account).
This position is a crucially important position in the firm and the person hired will have the liberty to drive the product and provide direction in line with business needs.
Website: https://moneyhop.co/">https://moneyhop.co/
About Individual
Looking for an enthusiastic individual who is passionate about technology and has worked with either a start-up or a blue-chip firm in the past.
The candidate needs to be a multi-tasker, highly self-motivated, self-starter and have the ability to work in a high stress environment. He/she should be tech savvy and willing to embrace new technology comfortably.
Ideally, the candidate should have experience working with the technology stack in the scalable and high growth mobile application software.
General Skills
- 3-4 years of experience in DevOps.
- Bachelor's degree in Computer Science, Information Science, or equivalent practical experience.
- Exposure to Behaviour Driven Development and experience in programming and testing.
- Excellent verbal and written communication skills.
- Good time management and organizational skills.
- Dependability
- Accountability and Ownership
- Right attitude and growth mindset
- Trust-worthiness
- Ability to embrace new technologies
- Ability to get work done
- Should have excellent analytical and troubleshooting skills.
Technical Skills
- Work with developer teams with a focus on automating build and deployment using tools such as Jenkins.
- Implement CI/CD in projects (GitLabCI preferred).
- Enable software build and deploy.
- Provisioning both day to day operations and automation using tools, e. g. Ansible, Bash.
- Write, plan, create infra as a code using Terraform.
- Monitoring, ITSM automation incident creation from alerts using licensed and open source tools.
- Manage credentials for AWS cloud servers, github repos, Atlassian Cloud services, Jenkins, OpenVPN, and the developers environment.
- Building environments for unit tests, integration tests, system tests, and acceptance tests using Jenkins.
- Create and spin off resource instances.
- Experience implementing CI/CD.
- Experience with infrastructure automation solutions (Ansible, Chef, Puppet, etc. ).
- Experience with AWS.
- Should have expert Linux and Network administration skills to troubleshoot and trace symptoms back to the root cause.
- Knowledge of application clustering / load balancing concepts and technologies.
- Demonstrated ability to think strategically about developing solution strategies, and deliver results.
- Good understanding of design of native Cloud applications Cloud application design patterns and practices in AWS.
Day-to-Day requirements
- Work with the developer team to enhance the existing CI/CD pipeline.
- Adopt industry best practices to set up a UAT and prod environment for scalability.
- Manage the AWS resources including IAM users, access control, billing etc.
- Work with the test automation engineer to establish a CI/CD pipeline.
- Work on replication of environments easy to implement.
- Enable efficient software deployment.
- As a DevOps engineer, you will be responsible for
- Automated provisioning of infrastructure in AWS/Azure/OpenStack environments.
- Creation of CI/CD pipelines to ensure smooth delivery of projects.
- Proactive Monitoring of overall infrastructure (Logs/Resources etc)
- Deployment of application to various cloud environments.
- Should be able to lead/guide a team towards achieving goals and meeting the milestones defined.
- Practice and implement best practices in every aspect of project deliverable.
- Keeping yourself up to date with new frameworks and tools and enabling the team to use them.
Skills Required
- Experience in Automation of CI/CD processes using tools such as GIT, Gerrit, Jenkins, CircleCI, Azure Pipeline, Gitlab
- Experience in working with AWS and Azure platforms and Cloud-Native automation tools such as AWS cloud formation and Azure Resource Manager.
- Experience in monitoring solutions such as ELK Stack, Splunk, Nagios, Zabbix, Prometheus
- Web Server/Application Server deployments and administration.
- Good Communication, Team Handling, Problem-solving, Work Ethic, and Creativity.
- Work experience of at least 1 year in the following are mandatory.
If you do not have the relevant experience, please do not apply.
- Any cloud provider (AWS, GCP, Azure, OpenStack)
- Any of the configuration management tools (Ansible, Chef, Puppet, Terraform, Powershell DSC)
- Scripting languages (PHP, Python, Shell, Bash, etc.?
- Docker or Kubernetes
- Troubleshoot and debug infrastructure Network and operating system issues.
Goodera is looking for an experienced and motivated DevOps professional to be an integral part of its core infrastructure team. As a DevOps Engineer, you must be able to troubleshoot production issues, design, implement, and deploy monitoring tools, collaborate with team members to improve the existing and develop new engineering tools, optimize company's computing architecture, design and conduct security, performance, availability and availability tests.
Responsibilities:
This is a highly accountable role and the candidate must meet the following professional expectations:
• Owning and improving the scalability and reliability of our products.
• Working directly with product engineering and infrastructure teams.
• Designing and developing various monitoring system tools.
• Accountable for developing deployment strategies and build configuration management.
• Deploying and updating system and application software.
• Ensure regular, effective communication with team members and cross-functional resources.
• Maintaining a positive and supportive work culture.
• First point of contact for handling customer (may be internal stakeholders) issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Develop tooling and processes to drive and improve customer experience, create playbooks.
• Eliminate manual tasks via configuration management.
• Intelligently migrate services from one AWS region to other AWS regions.
• Create, implement and maintain security policies to ensure ISO/ GDPR / SOC / PCI compliance.
• Verify infrastructure Automation meets compliance goals and is current with disaster recovery plan.
• Evangelize configuration management and automation to other product developers.
• Keep himself updated with upcoming technologies to maintain the state of the art infrastructure.
Required Candidate profile :
• 3+ years of proven experience working in a DevOps environment.
• 3+ years of proven experience working in AWS Cloud environments.
• Solid understanding of networking and security best practices.
• Experience with infrastructure-as-code frameworks such as Ansible, Terraform, Chef, Puppet, CFEngine, etc.
• Experience in scripting or programming languages (Bash, Python, PHP, Node.js, Perl, etc.)
• Experience designing and building web application environments on AWS, including services such as ECS, ECR, Foregate, Lambda, SNS / SQS, CloudFront, Code Build, Code pipeline, Configuring CloudWatch, WAF, Active Directories, Kubernetes (EKS), EC2, S3, ELB, RDS, Redshift etc.
• Hands on Experience in Docker is a big plus.
• Experience working in an Agile, fast paced, DevOps environment.
• Strong Knowledge in DB such as MongoDB / MySQL / DynamoDB / Redis / Cassandra.
• Experience with Open Source and tools such as Haproxy, Apache, Nginx and Nagios etc.
• Fluency with version control systems with a preference for Git *
• Strong Linux-based infrastructures, Linux administration
• Experience with installing and configuring application servers such as WebLogic, JBoss and Tomcat.
• Hands-on in logging, monitoring and alerting tools like ELK, Grafana, Metabase, Monit, Zbbix etc.
• A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
d ability to rain others on technical and procedural topics.









