DevOps Engineer

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)

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

As a DevOps Engineer, you’ll play a key role in managing our cloud infrastructure, automating deployments, and ensuring high availability across our global server network. You’ll work closely with our technical team to optimize performance and scalability.

Responsibilities

✅ Design, implement, and manage cloud infrastructure (primarily Azure)

✅ Automate deployments using CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)

✅ Monitor and optimize server performance & uptime (100% uptime goal)

✅ Work with cPanel-based hosting environments and ensure seamless operation

✅ Implement security best practices & compliance measures

✅ Troubleshoot system issues, scale infrastructure, and enhance reliability

Requirements

🔹 3-7 years of DevOps experience in cloud environments (Azure preferred)

🔹 Hands-on expertise in CI/CD tools (GitHub Actions, Jenkins, etc.)

🔹 Proficiency in Terraform, Ansible, Docker, Kubernetes

🔹 Strong knowledge of Linux system administration & networking

🔹 Experience with monitoring tools (Prometheus, Grafana, ELK, etc.)

🔹 Security-first mindset & automation-driven approach

Why Join Us?

🚀 Work at a fast-growing startup backed by Microsoft

💡 Lead high-impact DevOps projects in a cloud-native environment

🌍 Hybrid work model with flexibility in Bangalore, Delhi, or Mumbai

💰 Competitive salary ₹12-30 LPA based on experience

How to Apply?

📩 Apply now & follow us for future updates:

🔗 X (Twitter): https://x.com/CygenHost

🔗 LinkedIn: https://www.linkedin.com/company/cygen-host/

🔗 Instagram: https://www.instagram.com/cygenhost

Would you like any modifications before posting this? Or should I move on to the next role? 🚀

Title: Azure Cloud Developer/Engineer

Exp: 5+ yrs

Location: T-Hub, Hyderabad

Work from office (5 days/week)

Interview rounds: 2-3

Excellent comm skills

Immediate Joiner

Job Description

Position Overview:

We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.

Key Responsibilities:

• Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
• Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
• Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
• Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
• Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
• Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
• Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
• Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
• Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
• Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
• Work with Azure Key Vault for secrets and certificate management.
• Explore multi-cloud strategies, integrating AWS services where necessary.

Key Skills Required:

• Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
• Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
• Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
• Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
• Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
• CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
• Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
• Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
• Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
• Strong understanding of containerization, orchestration, and microservices architecture.

Certifications (Preferred):

Required:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure DevOps Engineer Expert

Nice to Have (AWS Experience):

• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified DevOps Engineer – Professional

Nice to Have Skills:

• Experience with multi-cloud environments (Azure & AWS).
• Familiarity with container security tools (Aqua Security, Prisma Cloud).
• Experience with GitOps methodologies using tools like ArgoCD or Flux.
• Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).

Benefits

Why Join Us?

• Competitive salary with performance-based incentives.
• Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
• Access to training programs, workshops, and learning resources.
• Comprehensive health insurance coverage for employees and their families.
• Wellness programs and mental health support.
• Hands-on experience with large-scale, innovative cloud solutions.
• Opportunities to work with modern tools and technologies.
• Inclusive, supportive, and team-oriented environment.
• Opportunities to collaborate with global clients and cross-functional teams.
• Regular performance reviews with rewards for outstanding contributions.
• Employee appreciation events and programs.

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

• Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
• Hands on experience in DevOps tools configuration in different environments.
• Strong knowledge of working with DevOps design patterns, processes and best practices
• Hand-on experience in Setting up Build pipelines.
• Prior working experience in system administration or architecture in Windows or Linux.
• Must have experience in GIT (BitBucket, GitHub, GitLab)
• Hands-on experience on Jenkins pipeline scripting.
• Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
• Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
• Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
• Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
• Good to have experience in migrating code repositories from one source control to another.
• Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
• Must have good communication skills and problem solving skills

At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.

A few recognitions:

• Recognized as Top25 startups in India to work with 2019 by LinkedIn
• Winner of HDFC Bank's Digital Innovation Summit 2020
• Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
• Winner of Amazon AI Award 2019 for Fintech
• Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
• Winner of FinShare 2018 challenge held by ShareKhan
• Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
• 2nd place Citi India FinTech Challenge 2018 by Citibank
• Top 3 in Viacom18's Startup Engagement Programme VStEP

What your average day would look like:

• Deploy and maintain mission-critical information extraction, analysis, and management systems
• Manage low cost, scalable streaming data pipelines
• Provide direct and responsive support for urgent production issues
• Contribute ideas towards secure and reliable Cloud architecture
• Use open source technologies and tools to accomplish specific use cases encountered within the project
• Use coding languages or scripting methodologies to solve automation problems
• Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
• Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time

What you need to work with us:

• Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
• Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
• Proficiency in Unix Operating systems and comfortable with Networking concepts
• Experience with developing/deploying a scalable system
• Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
• Experience in managing Hadoop clusters
• Understanding of containers and have managed them in production using container orchestration services.
• Solid understanding of data structures and algorithms.
• Applied exposure to continuous delivery pipelines (CI/CD).
• Keen interest and proven track record in automation and cost optimization.

Experience:

• 1-4 years of relevant experience
• BE in Computer Science / Information Technology