About Artivatic :- Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. - Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. - We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.- We are looking for a Senor DevOps Engineer to support AWS /Google/Azure/Digital Ocean /Internal ops infrastructure. - In this role, you are expected to play a key role in building the continuous deployment model and enable high quality rapid delivery of Cloud, Device, Mobility, Web and Desktop applications for our flagship platform, Artivatic.Responsibilities :- Design, implement, and maintain ops infrastructure for Artivatic to ensure high availability of environment and services all the time.- Provide a robust continuous delivery pipeline that enables engineering team to deliver features to customers efficiently.Skills Requirements :- 3-8 years of experience in building/maintaining infrastructures primarily on AWS/Google/Azure/Internal environment for Cloud. Mobility, Web and Desktop applications. Background in Linux/Unix Administration.- Demonstrated depth of experience in communicating with internal groups, including Product Management and Operations.- Proven ownership and delivery of a sizable product or product component, strong sense of independence and self-direction is essential.- Availability for travel and flexible work hours to work with teams across time zonesTechnical Competencies :- 3-8 Years of Experience providing DevOps support to Desktop, Cloud, Mobility and Web Based SaaS based solution with continuous deployment model- Deep knowledge of CI (Continuous Integration) and CD (Continuous Deployment) methodologies with Continuous Integration Servers such as Jenkins- Experience in Virtualization, Disaster Recovery, Backup and Security Processes. Experience with automation/ configuration management using either Puppet, Chef or an equivalent- Ability to use a wide variety of open source technologies and cloud services (experience with AWS is required, Azure and Google Cloud is good to have). Knowledge of best practices and IT operations in an always-up, always-available service- Experience with monitoring tools such as Sensu, Newrelic etc.- Strong experience with Cassandra, REST API, SQL, MySQL and NoSQL.- Experience with container based deployments e.g. Docker- A working understanding of code and script (Java, C++, Scala, PHP, Python, Perl and/or Ruby)- Jenkins, ant, maven or make tools with build, packaging, branching, continuous integration background- Maintenance of automated tooling code in shell, python or similar scripting language- Strong familiarity with JIRA, SCM/GIT including branching and merging strategiesQualifications : Bachelors or Master's degree in Computer Science or related field.
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About Artivatic
Founded :
2017
Type :
Services
Size
Stage :
Raised funding
About
Artivatic empowers healthcare, insurance, broker & re-insurance businesses and developers to re-imagine insurance & health products for the next billion users. We at Artivatic are constantly building low-cost, modular API infrastructure so that businesses /hospitals can go live in a matter of days, not months. Artivatic is developing its proprietary cutting-edge solutions to enable enterprises for 1 Billion people to get access to insurance, financial and health benefits with alternative data sources to increase their productivity, efficiency, automation power, and profitability, hence improving their way of doing business more intelligently seamlessly.
About the company: MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise
Skill-sets Required:
Azure Architecture
DevOps Expert
Infrastructure as a code
Automate CICD pipelines
Security and Risk Compliance
Validate Tech Design
Job Role:
Create a well-informed cloud strategy and manage the adaption process and Azure based architecture
Develop and organize automated cloud systems
Work with other teams in continuous integration and continuous deployment pipeline in delivering solutions
Work closely with IT security to monitor the company's cloud privacy
Desired Candidate Profile:
Bachelor’s degree in computer science, computer engineering, or relevant field.
A minimum of 3 years’ experience in a similar role.
Strong knowledge of database structure systems and data mining.
Excellent organizational and analytical abilities.
Outstanding problem solver.
IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
Excellent English communication and presentation skills, both verbal and written
Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: 12-15 LPA with minimum 5 years of experience. ( OR AS PER LAST DRAWN )
Requirements ● Good understanding of how the web works ● Experience with at least one language like Java, Python etc ● Good with Shell scripting ● Experience with *Nix based operating systems ● Experience with k8s, containers ● Fairly good understanding of AWS/GCP/Azure ● Troubleshoot and fix outages and performance issues in infrastructure stack ● Identify gap and design automation tools for all feasible functions in infrastructure ● Good verbal and written communication skills ● Drive SLA/SLO of team Benefits This is an opportunity to work on a fairly complex set of systems and improve them. You will get a chance to learn things like “how to think about code simplicity”, “how to write for maintainability” and several other things. ● Comprehensive health insurance policy. ● Flexible working hours and a very friendly work environment. ● Flexibility to work either in the office (post Covid) or remotely.
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
Job Description: As a MLOpsEngineer in QuantumBlack you will: Develop and deploy technology that enablesdata scientists and data engineers to build,productionize and deploy machine learning models following best practices. Work to set the standards forSWEand DevOps practices within multi-disciplinary delivery teams Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allowsyour team to release toproduction. Build modern, scalable,and secure CI/CD pipelines to automate development and deployment workflows used by data scientists (ML pipelines) and data engineers (Data pipelines) Shape and supportnext generationtechnology that enables scalingML products and platforms.Bring expertise in cloud to enable ML use case development, including MLOps Our Tech Stack- We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes,Argo, Airflow, Kedro, Python, Terraform, GitHubactions,MLFlow,Node.JS, React,Typescriptamongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration (Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security • Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo) • Experience with modern development methods and tooling: Containers (e.g., docker) and container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow, Kubeflow) • Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries (e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g., deployments, operators, helm charts) • Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking, model governance, packaging, deployment, feature store) • Practical knowledge delivering and maintaining production software such as APIs and cloud infrastructure • Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Duties & Responsibilities: • Design cloud infrastructure that is secure, scalable, and highly available on AWS • Define infrastructure and deployment requirements • Provision, configure and maintain AWS cloud infrastructure defined as code • Ensure configuration and compliance with configuration management tools • 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 Qualifications: • At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3) • Strong understanding of how to secure AWS environments and meet compliance requirements • Expertise on configuration management • Hands-on experience deploying and managing infrastructure with Terraform • Solid foundation of networking and Linux administration • Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS • Ability to learn/use a wide variety of open source technologies and tools • Strong bias for action and ownership
Job Description: - Azure Devops. Admin Experience: 5+yrs Skills Required: - Experience in Azure Administration, Configuration and Deployment of WindowsLinux VMContainer based infrastructure Scripting Programming in Python, JavaScriptTypeScript, C Scripting PowerShell , Azure CLI and shell Scripts Identity, Access Management and RBAC model Virtual Networking, storage, and Compute Resources Azure Database Technologies. Monitoring and Analytics Tools in Azure Azure DevOps based CICD Build pipeline integrated with GitHub – Java and Node.js Test Automation and other CICD Tools Azure Infrastructure using ARM template Terrafor
Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
Expert Knowledge in - Git, Jenkins
Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
Good working knowledge with scripting languages such as Python, php
Good communications and Presentation Skills
Preferred Education:
Bachelor's Degree or global equivalent in Computer Science or related field
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Apoorv Pandey
Sr. Mobile Developer - Prismberry Technologies Pvt Ltd
The entire journey, right from the interview process to the onboarding, has been absolutely seamless and delightful. Every step was meticulously planned and executed with such precision that it made the experience not just smooth but genuinely enjoyable. Kudos to the team!
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.
Ashish Gupta
Gen AI Engineer - Fractal Analytics
The process was smooth, and the team was incredibly supportive. A special mention to Eman, who was exceptional - always available with updates and consistently following up with the Fractal team. Her support made the journey seamless.
Parth Lukhi
Senior Software Developer - Bits In Glass
It was a great experience with Cutshort. I would not believe that apart from Naukri and LinkedIn, we could land jobs. But I did through Cutshort.
Apoorv Pandey
Sr. Mobile Developer - Prismberry Technologies Pvt Ltd
The entire journey, right from the interview process to the onboarding, has been absolutely seamless and delightful. Every step was meticulously planned and executed with such precision that it made the experience not just smooth but genuinely enjoyable. Kudos to the team!
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.
Ashish Gupta
Gen AI Engineer - Fractal Analytics
The process was smooth, and the team was incredibly supportive. A special mention to Eman, who was exceptional - always available with updates and consistently following up with the Fractal team. Her support made the journey seamless.
Parth Lukhi
Senior Software Developer - Bits In Glass
It was a great experience with Cutshort. I would not believe that apart from Naukri and LinkedIn, we could land jobs. But I did through Cutshort.
Apoorv Pandey
Sr. Mobile Developer - Prismberry Technologies Pvt Ltd
The entire journey, right from the interview process to the onboarding, has been absolutely seamless and delightful. Every step was meticulously planned and executed with such precision that it made the experience not just smooth but genuinely enjoyable. Kudos to the team!