Docker
Kubernetes
Amazon Web Services (AWS)
NodeJS (Node.js)
Redis
Elastic Search
Go Programming (Golang)
Pythonknowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.
Shubham Vishwakarma
Full Stack Developer - Averlon
About makeO
About
Toothsi is a company that offers at-home smile makeover services. The company was established in 2018. The company has brilliantly expanded its operations throughout India, and as a result, it is responsible for more than one million happy customers.
Together with our more than one hundred in-house dental specialists, our carefully picked in-house orthodontists each have more than ten years of experience working in the aligner industry. This ensures that when customers use Toothsi, customer is selecting the finest option available. Toothsi is a group of people that are well qualified in their fields and have years of experience. We collaborate with orthodontists that have worked in the field for more than ten years and developed more than one hundred thousand smiles, as well as planners, world-class technicians, and customer service specialists.
A better life starts with a beautiful smile with ToothSi
Connect with the team
Company social profiles
Similar jobs (10)
Amazon Web Services (AWS)PythonAmura’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)
Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".
Only applications received via email will be reviewed. Applications through other channels will not be considered.
Job Description
The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange
We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.
The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.
Responsibilities:
Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.
Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.
Improve and fix bugs in installation and automation routines.
Monitor CPU usage, security findings, and AWS alerts.
Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.
Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).
Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.
Integrate data from AWS CloudWatch.
Document all relevant information and train involved personnel in the used technologies.
Requirements:
Experience with Elastic Stack (ELK) components and related technologies.
Proficiency in automation tools like Ansible and CloudFormation.
Strong knowledge of AWS Cloud services.
Experience in creating and managing dashboards and alerts.
Familiarity with IAM roles and rights management.
Ability to document processes and train team members.
Excellent problem-solving skills and attention to detail.
Skills & Requirements
Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.
KubernetesDockerAmazon Web Services (AWS)(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))
SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)
Exp- 5 to 8 years
Salary- Upto 25 LPA
Hyderabad based candidates preferred!
Immediate joiners would be preferred!!
Role Objective:
- Ability to identify processes where efficiency could be improved via automation
- Ability to research, prototype, iterate and test automation solutions
- Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
- Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
- Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
- Good understanding of the cost of the e2e service provision, and delivery of associated savings.
- Knowledge of web security principals
- Strong Linux experience – comfortable working from command line
- Some networking knowledge (routing, DNS)
- Knowledge of HA and DR concepts and experience implementing them
- Working with team to analyse and design infrastructure with 99.99% up-time.
Qualifications:
- Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
- Experience in building and managing production cloud environments from the ground up.
- Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
- Knowledge on repository management (GitHub, SVN)
- Solid understanding of web application architecture and RDBMS (SQL Server preferred).
- Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
- Strong logical, analytical and problem-solving skills with excellent communication skills.
- Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
- Should be willing to work in rotational shifts (including the nights)
Perks and benefits:
- Health & Wellness
- Paid time off
- Learning at work
- Fun at work
- Night shift allowance
- Comp off
- Pick and drop facility available to certain distance
Git
Jenkins
PythonJenkinsJob Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
- Experience working on billing and budgets for a GCP project - MUST
- Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
- Experience in implementing the recommendations on GCP
- Architect Certifications on GCP - MUST
- Excellent communication skills (both verbal & written) - MUST
- Excellent documentation skills on processes and steps and instructions- MUST
- At least 2 years of experience on GCP.
Basic Qualifications:
- Bachelor’s/Master’s Degree in Engineering OR Equivalent.
- Extensive scripting or programming experience (Shell Script, Python).
- Extensive experience working with CI/CD (e.g. Jenkins).
- Extensive experience working with GCP, Azure, or Cloud Foundry.
- Experience working with databases (PostgreSQL, elastic search).
- Must have 2 years of minimum experience with GCP certification.
Benefits :
- Competitive salary.
- Work from anywhere.
- Learning and gaining experience rapidly.
- Reimbursement for basic working set up at home.
- Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
Ideal joining preferences:
Immediate or 15 days
Amazon Web Services (AWS)GitDockerWho We Are
Grip is building a new category of investment options for the new-age of Indian Investors. Millennials
don’t communicate, shop, pay, entertain and work like the previous generation - then why should they
invest the same way?
Started in June’20, Grip has seen 20% month-on-month growth to become one of India’s fastest-
growing destinations for alternative investments. Today, Grip offers multiple investment options providing
8-16% annual returns and 1-60 month tenures as the country’s only multi- asset (lease financing,
inventory financing, corporate bonds start-up equity, commercial real estate ) investment platform. With a
minimum investment size of INR 20,000, Grip is democratizing investment options that have previously
only been available to the largest funds and family offices.
Finance and technology (FinTech) is what we do, but people are at the core of our mission. From client-
facing roles to technology, and everywhere in between, you’ll work alongside a diverse team who loves
to solve problems, think creatively, and fly the plane as we continue to build it.
In the News
- Money Control : Click Here
- Hindu Business : Click Here
What We Can Offer You
● Young and fast-growing company with a healthy work-life balance
● Great culture based on the following core values
○ Courage
○ Transparency
○ Ownership
○ Customer Obsession
○ Celebration
● Lean structure and no micromanaging. You get to own your work
● The Company has turned two so you get a seat on rocketship that’s just taking off!
● High focus on Learning & Development and monetary support for relevant upskilling
● Competitive compensation along with equity ownership for wealth creation
What You’ll Do
● Design cloud infrastructure that is secure, scalable, and highly available onAWS
● Work collaboratively with software engineering to define infrastructure and
deploying requirements
● Provision, configure and maintain AWS cloud infrastructure defined as code
● Ensure configuration and compliance with configuration management tools
● Administer and troubleshoot Linux based systems
● Troubleshoot problems across a wide array of services and functional areas
● Build and maintain operational tools for deployment, monitoring, and analysis of AWS
infrastructure and systems
● Perform infrastructure cost analysis and optimization
Your Superpowers
● At least 3-5 years of experience building and maintaining AWS infrastructure
(VPC,EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront,
S3,RDS,Elasticbeanstalk)
● Strong understanding of how to secure AWS environments and meet
compliance requirements
● Expertise using Chef/Cloudformation/Ansible for configuration management
● Hands-on experience deploying and managing infrastructure with Terraform
● Solid foundation of networking and Linux administration
● Experience with Docker, GitHub, Kubernetes,, ELK and deploying applications onAWS
● Ability to learn/use a wide variety of open source technologies and tools
● Strong bias for action and ownership
Amazon Web Services (AWS)We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL
Jenkins
Java- Proficient in Java, Node or Python
- Experience with NewRelic, Splunk, SignalFx, DataDog etc.
- Monitoring and alerting experience
- Full stack development experience
- Hands-on with building and deploying micro services in Cloud (AWS/Azure)
- Experience with terraform w.r.t Infrastructure As Code
- Should have experience troubleshooting live production systems using monitoring/log analytics tools
- Should have experience leading a team (2 or more engineers)
- Experienced using Jenkins or similar deployment pipeline tools
- Understanding of distributed architectures
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon