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)

Role: Azure Devops Consultant

Location: Bangalore

Fulltime

Work Mode: 5 Days Work From Office.

Responsibilities:

· Design and architect CI/CD pipelines and development automation solutions.

· Lead implementation of build versioning, packaging, and dependency

management strategies

· Define standards for code quality, security scanning, and automated testing

integration

· Create reference architectures for development workflows and automation

patterns

· Collaborate with security teams to implement "shift-left" security practices

· Guide implementation of A/B testing and feature flagging architectures

Skills:

· Strong expertise in Azure DevOps,PAAS, Git, CI/CD practices

· Deep understanding of SDLC and automation

· Containerization (Docker, Kubernetes)

· Security scanning tools (Veracode, SonarQube)

· Build tools and artifact management

· IaC (Terraform, ARM templates)

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

The Lead DevOps Engineer will be responsible for the management, monitoring and operation of our applications and services in production. The DevOps Engineer will be a hands-on person who can work independently or with minimal guidance and has the ability to drive the team’s deliverables by mentoring and guiding junior team members. You will work with the existing teams very closely and build on top of tools like Kubernetes, Docker and Terraform and support our numerous polyglot services.

Introducing a strong DevOps ethic into the rest of the team is crucial, and we expect you to lead the team on best practices in deployment, monitoring, and tooling. You'll work collaboratively with software engineering to deploy and operate our systems, help automate and streamline our operations and processes, build and maintain tools for deployment, monitoring, and operations and troubleshoot and resolve issues in our development, test and production environments. The position is based in our Bangalore office.

Primary Responsibilities

• Providing strategies and creating pathways in support of product initiatives in DevOps and automation, with a focus on the design of systems and services that run on cloud platforms.
• Optimizations and execution of the CI/CD pipelines of multiple products and timely promotion of the releases to production environments
• Ensuring that mission critical applications are deployed and optimised for high availability, security & privacy compliance and disaster recovery.
• Strategize, implement and verify secure coding techniques, integrate code security tools for Continuous Integration
• Ensure analysis, efficiency, responsiveness, scalability and cross-platform compatibility of applications through captured  metrics, testing frameworks, and debugging methodologies.
• Technical documentation through all stages of development
• Establish strong relationships, and proactively communicate, with team members as well as individuals across the organisation

Requirements

• Minimum of 6 years of experience on Devops tools.
• Working experience with Linux, container orchestration and management technologies (Docker, Kubernetes, EKS, ECS …).
• Hands-on experience with "infrastructure as code" solutions (Cloudformation, Terraform, Ansible etc).
• Background of building and maintaining CI/CD pipelines (Gitlab-CI, Jenkins, CircleCI, Github actions etc).
• Experience with the Hashicorp stack (Vault, Packer, Nomad etc).
• Hands-on experience in building and maintaining monitoring/logging/alerting stacks (ELK stack, Prometheus stack, Grafana etc).
• Devops mindset and experience with Agile / SCRUM Methodology
• Basic knowledge of Storage , Databases (SQL and noSQL)
• Good understanding of networking technologies, HAProxy, firewalling and security.
• Experience in Security vulnerability scans and remediation
• Experience in API security and credentials management
• Worked on Microservice configurations across dev/test/prod environments
• Ability to quickly adapt new languages and technologies
• A strong team player attitude with excellent communication skills.
• Very high sense of ownership.
• Deep interest and passion for technology
• Ability to plan projects, execute them and meet the deadline
• Excellent verbal and written English communication.

Engineering Leader, Cloud Infrastructure.

Bengaluru, Karnataka, India

Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!

Your Impact:

We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,

networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for

you.

You Will:

Lead, inspire, and influence to make sure your team is successful

Partner with the recruiting team to attract and retain high-quality and diverse talent

Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration

Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.

Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.

You'll need:

BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams

Strong fundamentals in distributed systems design and development

Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management

Experience running production services in Public Clouds such as AWS, GCP, and Azure

Experience with running large stateful data systems in the Cloud

Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)

A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them

Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.

Job Description:

Mandatory Skills:

Should have strong working experience with Cloud technologies like AWS and Azure.

Should have strong working experience with CI/CD tools like Jenkins and Rundeck.

Must have experience with configuration management tools like Ansible.

Must have working knowledge on tools like Terraform.

Must be good at Scripting Languages like shell scripting and python.

Should be expertise in DevOps practices and should have demonstrated the ability to apply that knowledge across diverse projects and teams.

Preferable skills:

Experience with tools like Docker, Kubernetes, Puppet, JIRA, gitlab and Jfrog.

Experience in scripting languages like groovy.

Experience with GCP

Summary & Responsibilities:

 Write build pipelines and IaaC (ARM templates, terraform or cloud formation).

 Develop ansible playbooks to install and configure various products.

 Implement Jenkins and Rundeck jobs( and pipelines).

 Must be a self-starter and be able to work well in a fast paced, dynamic environment

 Work independently and resolve issues with minimal supervision.

 Strong desire to learn new technologies and techniques

 Strong communication (written / verbal ) skills

Qualification:

Bachelor's degree in Computer Science or equivalent.

4+ years of experience in DevOps and AWS.

2+ years of experience in Python, Shell scripting and Azure.

DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, set up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately, and securely.

Skills and Experience

• 4+ years of experience in building infrastructure experience with Cloud Providers ( AWS, Azure, GCP)

• Experience in deploying containerized applications build on NodeJS/PHP/Python to kubernetes cluster.

• Experience in monitoring production workload with relevant metrics and dashboards.

• Experience in writing automation scripts using Shell, Python, Terraform, etc.

• Experience in following security practices while setting up the infrastructure. 

• Self-motivated, able, and willing to help where help is needed

• Able to build relationships, be culturally sensitive, have goal alignment, have learning agility  

Roles and Responsibilities

• Manage various resources across different cloud providers. (Azure, AWS, and GCP)

• Monitor and optimize infrastructure cost.

• Manage various kubernetes clusters with appropriate monitoring and alerting setup.

• Build CI/CD pipelines to orchestrate provisioning and deployment of various services into kubernetes infrastructure.

• Work closely with the development team on upcoming features to determine the correct infrastructure and related tools.

• Assist the support team with escalated customer issues.

• Develop, improve, and thoroughly document operational practices and procedures. 

• Responsible for setting up good security practices across various clouds.