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RELATIONSHIP MANAGER

BOODESHA KM's profile picture
Posted by BOODESHA KM
0 - 1 yrs
₹1.5L - ₹3L / yr
Remote only
Skills
Marketing & Communication
Relationship Manager at Indianmoney.com FFREEDOM APP with fixed 15000 fixed salary, and fast learning ,earning and growing
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About ffreedomcom

Founded :
2004
Type :
Products & Services
Size :
5000+
Stage :
Bootstrapped

About

ffreedom app is India's No.1 livelihood platform offering courses in farming, business and personal finance.
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Company Overview

We are a full-service marketing agency that helps ambitious brands show up sharper, grow faster and stand out in crowded markets. From content and social to performance marketing, design, video and PR, we build and execute brand strategies end-to-end for a diverse roster of clients across industries. We're a team that moves fast, takes creative risks, and holds itself to agency-grade standards on every single deliverable. If you want your work to ship, get seen, and actually move numbers for real brands rather than sit in a deck, you'll fit right in.


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Video Editor


Company Overview

We are a full-service marketing agency that helps ambitious brands show up sharper, grow faster and stand out in crowded markets. From content and social to performance marketing, design, video and PR, we build and execute brand strategies end-to-end for a diverse roster of clients across industries. We're a team that moves fast, takes creative risks, and holds itself to agency-grade standards on every single deliverable. If you want your work to ship, get seen, and actually move numbers for real brands rather than sit in a deck, you'll fit right in.


Role Summary

Transform raw footage into high-impact, brand-consistent video content across long-form and short-form formats.


Job Details

  • Experience: 2-5 years
  • Work Model: On-site
  • Work Location: ATS Bouquet, Sector 132, Noida
  • Work Week: Monday-Saturday, 9:30 AM - 6:30 PM
  • Reports To: Creative Lead / Head of Content
  • Education: Bachelor's degree in Film, Mass Communication or related field (or equivalent professional portfolio)


Key Responsibilities

  • Edit long-form and short-form video content for social, marketing and brand
  • Apply motion graphics, sound design, color grading and transitions
  • Collaborate closely with content and social teams on story structure and pacing
  • Organize and manage footage, project files and version control
  • Deliver polished edits within tight, fast-paced turnarounds
  • Repurpose long-form content into multiple platform-native short cuts
  • Stay current with editing trends, transitions and sound design styles
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  • Troubleshoot technical issues with footage, audio and export settings
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Mandatory Skills & Experience

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  • Demonstrated ability to deliver under tight, recurring deadlines


Preferred Skills (Good to Have)

  • Motion graphics or basic animation skills (After Effects)
  • Experience editing for a brand with high-volume content output
  • Color grading expertise


Tools & Technologies

  • Adobe Premiere Pro / Final Cut Pro / DaVinci Resolve
  • Adobe After Effects (motion graphics)
  • Cloud storage and version control systems
  • Audio editing tools (Audition)


KPIs / Success Metrics

  • Number of edits delivered vs. target
  • Average turnaround time per video
  • Watch-through/completion rate of published edits
  • Content repurposing rate (long-form to short-form)


Benefits & Perks

  • Competitive compensation with performance-linked growth
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  • Learning and development support
  • A culture that rewards speed, ownership and craft




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Amura Health
at Amura Health
3 candid answers
1 video
Swathi S
Posted by Swathi S
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skill iconAmazon Web Services (AWS)
skill iconPython
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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.
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  • 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.
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  • 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

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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.


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  • 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.
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  • Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
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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)


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·   Good knowledge of Telecommunication, Vendor portals and Mobility ordering (Wireless and fixed )

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✓ Drive technical analysis for new projects including planning and driving proof-of-concepts, if needed.

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Rubick.ai is one of the fastest-growing eCommerce enablement platforms. We specialise in Product Discovery, Search and Market Intelligence for marketplaces, brands, and sellers. We offer an end-to-end full-stack Product Information, Cataloging, and Marketing platform as a solution for eCommerce. 

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Visit us: https://www.rubick.ai/


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QI Spine is a disruptive Health Tech player that is solving the world’s Spine Care problem through Data Intelligence.

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Website: https://www.qispine.com/



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product manager
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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