Client Relationship Manager

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)

Graphic Designer – Full Time (Indore)

💼 Experience: Min 1 Year (Freshers not allowed)

💰 Salary: ₹18,000 – ₹25,000

🏢 Industry: IT Services & Consulting

We're hiring a Graphic Designer to create engaging designs and video content for social media and marketing.

🔧 Tools: Canva, Photoshop, Corel, etc.

📍 Location: Indore (On-site)

Must have strong design skills and at least 1 year of experience.

Purchase Manager Technical Profile JD

Male candidate -Experience 10-15 years in engineering industry (Manufacturing) and should

handle a purchase team independently.

Qualification – Diploma or Mechanical Engineer

Good technical knowledge of sheets, rods, pipes, Structural steel, Castings and

outsourcing jobs

Knowledge of drawing, design.

Good communication and negotiation skills

Expertise in vendor scouting / sourcing

Identify cost reduction areas.

Must have good knowledge of metal market

Must have knowledge of Job work process

Should be able to handle a team independently

Ready to travel anywhere to source the material

MIS of Purchase

LOCATION : Koparkhairane, Navi Mumbai

Salary - Upto 80

Key Responsibilities:

• Design, develop, support, and maintain automated business intelligence products using

Tableau.

• Good understanding of data warehousing and data management concepts including OLTP,

OLAP, Dimensional Modelling, star/snowflake schemas

• Rapidly design, develop, and implement reporting applications that embed KPI metrics and

actionable insights into the operational, tactical, and strategic activities of key business

functions.

• Identify business requirements, design processes leveraging/adapting the business logic, and

regularly communicate with business stakeholders to ensure delivery meets business needs.

• Design and code business intelligence projects using Tableau, ensuring best practices for data

visualization and implementation.

• Develop and maintain dashboards and data sources that meet and exceed customer

requirements.

• Utilize Python for data manipulation, automation, and integration tasks to support Tableau

development.

• Write and optimize SQL queries for data extraction, transformation, and loading processes.

• Partner with business information architects to understand the business use cases

supporting and fulfilling business and data strategy.

• Collaborate with Product Owners and cross-functional teams in an agile environment.

• Provide expertise and best practices for data visualization and Tableau implementations.

• Work alongside solution architects in RFI/RFP response solution design, customer

presentations, demonstrations, POCs, etc., for growth.

• Understanding of Project life cycle and quality processes.

Qualifications:

• 5+ years of experience in Tableau development; Tableau certification is highly preferred.

• Proficiency in Python for data manipulation, automation, and integration tasks.

• Strong understanding and experience with SQL for database management and query

optimization.

• Ability to independently learn new technologies and show initiative.

• Demonstrated ability to work independently with minimal direction.

• Desire to stay current with industry technologies and standards.

• Strong presentation skills – ability to simplify complex situations and ideas into compelling

and effective written and oral presentations.

• Quick learner – ability to understand and rapidly comprehend new areas, both functional

and technical, and apply detailed and critical thinking to customer solutions.

·      Utilize various sourcing methods such as job boards, social media, networking, referrals, and other creative means to identify and attract potential candidates for non-IT roles.

·      Conduct initial screenings and interviews to assess candidates' skills, qualifications, and cultural fit for the organization.

·      Schedule and coordinate interviews between candidates and hiring managers, ensuring a smooth and efficient interview process.

·      Evaluate candidates' suitability for the position based on their experience, qualifications, and alignment with the company's values and culture.

·      Maintain positive relationships with candidates, keeping them informed throughout the hiring process and providing timely feedback.

·      Utilize applicant tracking systems (ATS) or other tools to manage candidate data and maintain accurate records of the recruitment process.

·      Extend job offers to successful candidates and facilitate the onboarding process for new hires.

·      Stay updated on industry trends, job market conditions, and recruitment best practices to enhance sourcing strategies and candidate selection.

·      Collaborate with hiring managers and HR teams to understand the requirements and specifications of non-IT positions and develop effective recruitment strategies.

·      Ensure all hiring practices comply with relevant employment laws and regulations.

As the backend engineer developer, you will drive the vision of AvatarLife and make it a significant player in metaverse gaming space. You will steer the development of our games and everything that comes with it.

Skills Required

• 2+ years experience in Node.js is required
• Experience in game development
• Familiarity with typescript is a plus

We are looking for individuals who can work independently and are fine with unstructured scenarios. We are flexible with the job location, working hours and compensation structure. We will match industry standard when it comes to all aspects of your professional development to make sure you can focus on making a great product.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.