Solution Architect – Lead Innovation from Anywhere

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)

Responsibilities :

- Execute and drive multiple UI UX projects by diagnosing business and user needs.

- Apply all pieces of user-centred design methodology and processes.

- Plan and conduct primary and secondary research.

- Convert user insights into concept designs that are not only compelling but are contrasting ideas looking at business challenges from varied angles.

- Design and manage all interaction design activities including visual design coordination with global designers.

- Present design decisions to the stakeholders that are backed up by strong experience design principles and rationale.

- Coordinate with technology teams to bring designs to a pixel-perfect reality.

- Manage communications at all levels and be responsible for project deliverables with quality and on time.

- A clear and effective presentation style to inform and influence important design decisions and maintain credibility.

- Create wireframes and visual design mockups as needed in order to effectively conceptualize and communicate detailed user interaction behaviors

- Create or advise on content architecture and navigation design, Design page level layout, page flow, and task fulfilment

- Conduct user research and synthesize findings

- Define and distill complex user requirements

- Design digital products and service processes

- Conduct usability testing

- Collaborate with cross-functional teams

- Communicate design solutions.

What We're Looking For :

- A relevant design degree, or equivalent work experience in UI UX is required

- 2+ years of experience with enterprise or design-oriented systems

- Familiar with design tools such as Figma, Photoshop, and Illustrator.

- Knowledgeable about HTML, CSS, and JavaScript; able to demonstrate how technical constraints and opportunities inform design solutions

- Portfolios demonstrate your expertise and experience is required

- You are able to communicate design rationale effectively in both oral and written forms, influence others, and find innovative solutions to problems.

- In the past, work has involved cross-functional collaboration with designers, product managers, software engineers, and end users.

- You have the ability to contribute to design strategy and build strong relationships across stakeholders and multidisciplinary teams.

Responsibilities of the intern:

1) Research and write articles, blog posts, white papers, and other technical documents related to computer science topics, including machine learning, artificial intelligence, computer vision, data science, and software engineering.

2) Collaborate with subject matter experts and other writers to develop content that meets the needs of our target audience.

3) Stay up-to-date with the latest trends and developments in computer science and related fields, including attending conferences, reading technical papers, and following relevant news sources.

4) Conduct research and analysis to ensure accuracy and credibility of information presented in technical documents.

5) Edit and proofread technical documents for accuracy, clarity, and consistency.

6) Manage deadlines and prioritize tasks to ensure timely delivery of high-quality content.

Requirements:

• PhD in Computer Science or related field is highly preferable
• Excellent research and writing skills
• Strong understanding of computer science concepts and principles
• Experience writing technical documents, such as research papers, white papers, and technical reports
• Ability to explain complex technical concepts in a clear and concise manner
• Familiarity with the latest research and trends in computer science and related fields
• Ability to work independently and manage multiple projects simultaneously
• Strong attention to detail and commitment to accuracy
• Excellent organizational and time-management skill

NOTE: ITS AN INTERNSHIP OF 6 MONTHS WITH 6K PER MONTH AS STIPEND

Must have Experience of UI testing using Automation tools like Selenium for Web and , Appium for Mobile application. • Must have clear understanding about Selenium/Appium Architecture, Page Object Model, Page Factory designs, Singleton and Builder Design Pattern • Good Experience of using locators (CSS/Xpath), Action Interface, JavaScript Executor • Have good exposure in validating API’s using any tool such as Postman/SoapUI • Basic understanding of API testing using Rest Assured. • Basic understanding of BDD concept with Cucumber as Tool • Experience with TFS/ GitHub • Must have Knowledge of TestNG/Junit . • Must have Programming languages knowledge: Java with strong knowledge of OOPS concept,Exception Handling, Reflection, Serialization and Collection Framework • Must have worked with following technologies Extent Report, Apache POI, Log4J, JSON • Experience of working with any of the databases (e.g.: MSSQL, PostgreSQL, Mongo Db etc.) • Knowledge of Maven, Jenkins and Docker or equivalent CI/CD • Must have good Manual testing experience of STLC, creating test scenarios, test cases with different test design techniques, Logging defects • Strong team player, flexible and should be able to shape up with different teams. • Demonstrated ability to focus and complete multi tasks on time. • Above average communication and should be able to explain architecture of current project. • Working experience in testing the AUT developed/delivered with Agile project framework. • Hands on experience on at least one Test Management or Defect Management tool for example ALM, JIRA, or any Microsoft tool etc. If this role sounds exciting to you and fulfil your future goals, then we would love to hear from you.

External Title: Backend Developer.

Location: Remote

Year of experience: 4+ years

Job Description:

• Understanding of the working of a web-based application.
• Expert Knowledge of Microservices architecture.
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Proficient understanding of code versioning tools, such as Git.
• Basic understanding of REST APIs and their concepts.
• Basic understanding of front-end technologies, such as HTML5, and CSS3, JavaScript.

Looking candidated from service base or service division of any company.
Minimum Qualification​:

• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections, popular frameworks & libraries}, JVM, GC tuning, performance tuning)
• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard, REST Express etc
• Worked on Relational data stores viz. MySQL, Oracle or Postgres
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc