Lead site reliability engineer & DevOps

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 looking "Sr.Software Engineer(Devops)" for Reputed Client @ Bangalore Permanent Role.

Experience: 4+ Yrs

Responsibilities:

• As part of a team you will design, develop, and maintain scalable multi cloud DevOps blueprint.

• Understand overall virtualization platform architecture in cloud environments and design best of class solutions that fit the SaaS offering & legacy application modernization

• Continuously improve CI/CD pipeline, tools, processes and procedures and systems relating to Developer Productivity

• Collaborate continuously with the product development teams to implement CI/CD pipeline.

• Contribute to the subject matter on Developer Productivity, DevOps, Infrastructure Automation best practices.

Mandatory Skills:

• 1+ years of commercial server-side software development experience & 3+ years of commercial DevOps experience.

• Strong scripting skills (Java or Python) is a must.

• Experience with automation tools such as Ansible, Chef, Puppet etc.

• Hands-on experience with CI/CD tools such as GitLab, Jenkins, Nexus, Artifactory, Maven, Gradle

• Hands-on working experience in developing or deploying microservices is a must.

• Hands-on working experience of at least of the popular cloud infrastructure such as AWS / Azure / GCP / Red Hat OpenStack is a must.

• Knowledge about microservices hosted in leading cloud environments

• Experience with containerizing applications (Docker preferred) is a must

• Hands-on working experience of automating deployment, scaling, and management of containerized applications (Kubernetes) is a must.

• Strong problem-solving, analytical skills and good understanding of the best practices for building, testing, deploying and monitoring software

Mandatory Skills:

• Experience working with Secret management services such as HashiCorp Vault is desirable.

• Experience working with Identity and access management services such as Okta, Cognito is desirable.

• Experience with monitoring systems such as Prometheus, Grafana is desirable.

Educational Qualifications and Experience:

• B.E/B.Tech/MCA/M.Tech (Computer science/Information science/Information Technology is a Plus)

• 4 to 6 years of hands-on experience in server-side application development & DevOps

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

Looking for an experienced candidate with strong development and programming experience, knowledge preferred-

• Cloud computing (i.e. Kubernetes, AWS, Google Cloud, Azure)
• Coming from a strong development background and has programming experience with Java and/or NodeJS (other programming languages such as Groovy/python are a big bonus)
• Proficient with Unix systems and bash
• Proficient with git/GitHub/GitLab/bitbucket

Desired skills-

• Docker
• Kubernetes
• Jenkins
• Experience in any scripting language (Phyton, Shell Scripting, Java Script)
• NGINX / Load Balancer
• Splunk / ETL tools

• Responsible for the entire infrastructure including Production (both bare metal and AWS).
• Manage and maintain the production systems and operations including SysAdmin, DB activities.
• Improve tools and processes, automate manual efforts, and maintain the health of the system.
• Champion best practices, CI-CD, Metrics Driven Development
• Optimise the company's computing architecture
• Conduct systems tests for security, performance, and availability
• Maintain security of the system
• Develop and maintain design and troubleshooting documentation

• 7+ years of experience into DevOps/Technical Operations
• Extensive experience in operating scripting language like shell, python, etc
• Experience in developing and maintaining CI/CD process for SaaS applications using tools such as Jenkins
• Hands on experience in using configuration management tools such as Puppet, SaltStack, Ansible, etc
• Hands-on experience to build and handle VMs, Containers utilizing tools such as Kubernetes, Docker, etc
• Hands on experience in building, designing and maintaining cloud-based applications with AWS, Azure,GCP, etc
• Knowledge of Databases (MySQL, NoSQL)
• Knowledge of security/ethical hacking

• Have experience with ElasticSearch, Kibana, LogStash
• Have experience with Cassandra, Hadoop, or Spark
• Have experience with Mongo, Hive

MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
• Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
• Bring experience on Google Cloud Platform.
• Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
• Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
• Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
• Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
• Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
• Manage several streams of work concurrently
• Understand how various systems work
• Understand how IT operations are managed

What you will bring:

• 5 years of work experience as a DevOps Engineer.
• Must possess ample knowledge and experience in system automation, deployment, and implementation.
• Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
• Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git. 
• Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

                                                       *******************

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East. This is an excellent opportunity to join ITP’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers. 

Job Description: 

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!

Mandatory Requirement/ Preference:

1.PowerBuild technology experience with minimum 8+ years

1. Excellent command on ASP.NET, Angular5/6/7/any version, MVC, Sql Server.
2. Should have strong debugging skills on Developer Tools of the browser and Working with Cross Browser UI

4.Working knowledge of the Microsoft Windows Platform and Microsoft Office applications.

1. Detailed technical knowledge of Angular any version, C#.Net (Visual Studio) development tools.
2. Experience with DevExpress components desirable.
3. Experience with DATA along with DevOps and GitHub.
4. ANgularJS is different to Angular. AngularJS experience is not relevant to us