- Extensive experience in designing, building & supporting Azure Managed Services Operations.
- Good understanding of Azure IaaS and PaaS services (Azure VMs, App Service, VM Scale set, Storage, Web App, Function App, Logic App, SQL instance, Data factory, Key vault, API management service etc.).
- Good understanding of Azure networking, vNet, NSG, various load balancing services, VPN, Express Route and firewalls in cloud environment.
- Knowledge on Cloud Adoption Framework.
- Hands on Experience in migration of various workloads to Azure from on-prem sources like VMware, Hyper-V, Physical Servers and from other Clouds.
- Knowledge of Azure Backups and ASR (Azure Site Recovery).
- Strong Knowledge on Containerization and Orchestration (Docker, Kubernetes, AKS).
- Powershell Scripting, Azure CLI, ARM templates writing, setup automation for resources provisioning and other IaC tools like terraform, Ansible is an added advantage.
- Knowledge on Azure automation and Automation Desire State Configuration.
- Knowledge on Azure Devops or GIT Actions on CI/CD pipeline configuration.
- Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.
- Aspire to learn and be able to pick up latest technical advances in Azure and be able to implement it.
- Certificate on Azure Administrator & Azure Architect has added advantage.

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Amura’s Vision
We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.
Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.
Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.
These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.
We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.
Role Overview
We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.
This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.
You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability.
Key Responsibilities
Cloud Infrastructure & Platform Engineering (AWS)
- Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
- Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
- Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
- Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
- Build reusable platform templates and shared infrastructure modules.
AI/ML Infrastructure & MLOps
- Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
- Support GPU-based workloads and optimize compute/storage usage.
- Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
- Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines.
CI/CD, Automation & Developer Productivity
- Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
- Automate deployments, environment provisioning, and release workflows.
- Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
- Implement automated patching, scaling, backups, cleanup workflows, and drift detection.
Containers, Kubernetes & Platform Reliability
- Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
- Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
- Optimize infrastructure for performance, resilience, and cost-efficiency.
- Implement progressive deployment strategies including blue/green, canary, and rolling deployments.
Observability, Incident Response & SRE Practices
- Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
- Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
- Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.
FinOps, Cost Governance & Security
- Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
- Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
- Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.
Collaboration, Leadership & Platform Culture
- Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
- Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.
Skills & Qualifications
Must-Have:
- 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
- Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
- Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.
Preferred / Nice-to-Have:
- Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
- Familiarity with Kafka, Redis, SQS, and event-driven systems.
- Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
- AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations.
Preferred / Nice-to-Have:
- Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
- Familiarity with Kafka, Redis, SQS, and event-driven systems.
- Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
- AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations.
Here are answers to some questions you may have
Where is your office?
Chennai (Velachery)
Work Model
Work from Office – because great stories are built in person!
Do you have an online presence?
https://amura.ai (we are @AmuraHealth on all social media)
We are seeking an experienced Operations Lead to drive operational excellence and lead a dynamic team in our fast-paced environment. The ideal candidate will combine strong technical expertise in Python with proven leadership capabilities to optimize processes, ensure system reliability, and deliver results.
Key Responsibilities
- Team & stakeholder leadership - Lead 3-4 operations professionals and work cross-functionally with developers, system administrators, quants, and traders
- DevOps automation & deployment - Develop deployment pipelines, automate configuration management, and build Python-based tools for operational processes and system optimization
- Technical excellence & standards - Drive code reviews, establish development standards, ensure regional consistency with DevOps practices, and maintain technical documentation
- System operations & performance - Monitor and optimize system performance for high availability, scalability, and security while managing day-to-day operations
- Incident management & troubleshooting - Coordinate incident response, resolve infrastructure and deployment issues, and implement automated solutions to prevent recurring problems
- Strategic technical leadership - Make infrastructure decisions, identify operational requirements, design scalable architecture, and stay current with industry best practices
- Reporting & continuous improvement - Report on operational metrics and KPIs to senior leadership while actively contributing to DevOps process improvements
Qualifications and Experience
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Proven experience of at least 5 years as a Software Engineer including at least 2 years as a DevOps Engineer or similar role, working with complex software projects and environments.
- Excellent knowledge with cloud technologies, containers and orchestration.
- Proficiency in scripting and programming languages such as Python and Bash.
- Experience with Linux operating systems and command-line tools.
- Proficient in using Git for version control.
Good to Have
- Experience with Nagios or similar monitoring and alerting systems
- Backend and/or frontend development experience for operational tooling
- Previous experience working in a trading firm or financial services environment
- Knowledge of database management and SQL
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Experience with DevOps practices and CI/CD pipelines
- Understanding of network protocols and system administration
Why You’ll Love Working Here
We’re a team that hustles—plain and simple. But we also believe life outside work matters. No cubicles, no suits—just great people doing great work in a space built for comfort and creativity.
Here’s what we offer:
💰 Competitive salary – Get paid what you’re worth.
🌴 Generous paid time off – Recharge and come back sharper.
🌍 Work with the best – Collaborate with top-tier global talent.
✈️ Adventure together – Annual offsites (mostly outside India) and regular team outings.
🎯 Performance rewards – Multiple bonuses for those who go above and beyond.
🏥 Health covered – Comprehensive insurance so you’re always protected.
⚡ Fun, not just work – On-site sports, games, and a lively workspace.
🧠 Learn and lead – Regular knowledge-sharing sessions led by your peers.
📚 Annual Education Stipend – Take any external course, bootcamp, or certification that makes you better at your craft.
🏋️ Stay fit – Gym memberships with equal employer contribution to keep you at your best.
🚚 Relocation support – Smooth move? We’ve got your back.
🏆 Friendly competition – Work challenges and extracurricular contests to keep things exciting.
We work hard, play hard, and grow together. Join us.
(P.S. We hire for talent, not pedigree—but if you’ve worked at a top tech co or fintech startup, we’d love to hear how you’ve shipped great products.)
The candidate should have a background in development/programming with experience in at least one of the following: .NET, Java (Spring Boot), ReactJS, or AngularJS.
Primary Skills:
- AWS or GCP Cloud
- DevOps CI/CD pipelines (e.g., Azure DevOps, Jenkins)
- Python/Bash/PowerShell scripting
Secondary Skills:
- Docker or Kubernetes
Overview
adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.
Job Description
The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange
We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.
The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.
Responsibilities:
Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.
Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.
Improve and fix bugs in installation and automation routines.
Monitor CPU usage, security findings, and AWS alerts.
Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.
Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).
Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.
Integrate data from AWS CloudWatch.
Document all relevant information and train involved personnel in the used technologies.
Requirements:
Experience with Elastic Stack (ELK) components and related technologies.
Proficiency in automation tools like Ansible and CloudFormation.
Strong knowledge of AWS Cloud services.
Experience in creating and managing dashboards and alerts.
Familiarity with IAM roles and rights management.
Ability to document processes and train team members.
Excellent problem-solving skills and attention to detail.
Skills & Requirements
Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.
Job description
Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.
One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.
About Koo
Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).
Technology Team & Culture
The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.
Technology skill sets required for a matching profile
- Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
- Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
- Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
- Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
- Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
- Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
- Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).
Required qualifications and must have skills
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5+ years of experience managing a team of 5+ infrastructure software engineers
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5+ years of experience in building and scaling technical infrastructure
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5+ years of experience in delivering software
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Experience leading by influence in multi-team, cross-functional projects
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Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
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Experience with cloud service providers such as AWS, GCP, or Azure
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Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
-
Experience with Hadoop, Hive and Presto
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Application/infrastructure benchmarking and optimization
-
Familiarity with modern CI/CD practices
-
Familiarity with reliability best practices
Must Haves: Openshift, Kubernetes
Location: Currently in India (also willing to relocate to UAE)
Preferred an immediate joiner with minimum 2 weeks to 1 month of Notice Period.
Add on skills: Terraform, Gitops, Jenkins, ELK
We (the Software Engineer team) are looking for a motivated, experienced person with a data-driven approach to join our Distribution Team in Bangalore to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.
A Day in the life
You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.
You will:
-
work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations
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provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs
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work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers
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work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.
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do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.
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be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.
You have:
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strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#
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hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt
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confidence with Linux environments
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ability to identify critical weak spots in distributed software systems
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experience in developing automated test cases and test plans
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ability to deal with distributed systems
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solid interpersonal skills conducive to a distributed environment
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ability to work independently on multiple tasks
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self-driven & motivated, with a strong work ethic and a passion for problem solving
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innovate and automate and break the code
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.
Qualifications BE/ B.Tech/ MCA in computer science
Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon
- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution










