Amazon Web Services (AWS)About Us
We are an AI-Powered CX Cloud that enables enterprises to transform customer experience and boost revenue with our APIs by automating and analyzing customer interactions at scale. We assist across multiple voices and non-voice channels in 30+ languages whilst coaching and training agents with minimal costs.
The problem we are solving
In comparison to worldwide norms, customer support in traditional contact centers is quite appalling, due to a high number of queries, insufficient capacity of agents and inane customer support systems, businesses struggle with a multi-fold rise in customer discontent and bounce rate, resulting in connectivity failure points between them and customers.
To address this issue, IITian couple Manish and Rashi Gupta founded Rezo's AI-Powered CX Cloud for Enterprises 2018 to help businesses avoid customer churn and boost revenue without incurring financial costs by
providing 24x7 real-time responses to customer inquiries with minimal human interaction.
Roles and Responsibilities:-
- To Maintain the required uptime for Azure Cloud and IT Infrastructure.
- To provide the earliest resolution of the reported issues, which may include but are not limited to cloud & end-user related issues.
- Configuring and managing the alerts through Nagios, which may include but is not limited to scripting knowledge.
- Linux and Windows Server administration.
- Managing Firewalls and Domain Controllers.
Requirements
- Having relevant experience of 3+ yrs.
- Sound knowledge of Linux & Windows System administration
- Good Hands-on experience on Azure/AWS ( Willing to work on Azure only)
- Must be an expert in at least one of OpenStack, Cloudify, SaltStack, Rundeck, Ansible
- Good knowledge of networking, firewall & domain controller
- Basic knowledge of DevOps/Scripting
- Should be willing to work in rotational day shifts and WFO
- Flexibility to be able to work in a 24/7/7 environment
Life at Rezo.AI
- We take transparency very seriously. Along with a full view of team goals, get a top-level
- View across the board with our regular town hall meetings.
- A highly inclusive work culture that promotes a relaxed, creative, and productive
- environment.
- Practice autonomy, open communication, and growth opportunities, while maintaining a
- perfect work-life balance.
- Go on company-sponsored offsites, and blow off steam with your work buddies.
Perks & Benefits
Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentor-ship
Get the best in class medical insurance, programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)
Why Us?
We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer service problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.
Explore more here
http://www.rezo.ai/" target="_blank">www.rezo.ai
Shubham Vishwakarma
Full Stack Developer - Averlon
About Rezo.AI
About
Rezo.ai is an AI-Powered Contact Center that enables enterprises to enhance customer experience and boost revenue by automating and analyzing customer agent interactions across multiple channels including voice, email, chat/WhatsApp, and social, at the required scale, whilst training agents with minimal costs.
Company social profiles
Similar jobs
Amazon Web Services (AWS)Job Summary:
Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.
Key Responsibilities:
- Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).
- Build and maintain scalable ETL pipelines using AWS Glue and PySpark.
- Work on data migration tasks in AWS environments.
- Monitor and improve database performance; automate key performance indicators and reports.
- Collaborate with cross-functional teams to support data integration and delivery requirements.
- Write shell scripts for automation and manage ETL jobs efficiently.
Required Skills:
- Strong experience with MySQL, complex SQL queries, and stored procedures.
- Hands-on experience with AWS Glue, PySpark, and ETL processes.
- Good understanding of AWS ecosystem and migration strategies.
- Proficiency in shell scripting.
- Strong communication and collaboration skills.
Nice to Have:
- Working knowledge of Python.
- Experience with AWS RDS.
Docker
KubernetesAmazon Web Services (AWS)As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.
-
Development of automation scripts and pipelines for deployment and monitoring of new production environments.
-
Development of automation scripts for upgrades, hotfixes deployments and maintenance.
-
Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.
-
Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
-
Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
-
Write Knowledge articles to document known issues and best practices.
-
Conduct regression tests to validate solutions or workarounds.
-
Work in a globally distributed team.
What achievements should you have so far?
-
Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.
-
Experience with containerization, deployment, and operations.
-
Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
-
Good experience with Linux systems and Shell scripting.
-
Basic cloud experience, preferably oriented on MS Azure.
-
Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).
-
Good Networking skills and experience.
-
Having Terraform or CloudFormation knowledge will be considered a plus.
-
Ability to analyze a task from a system perspective.
-
Excellent problem-solving and troubleshooting skills.
-
Excellent written and verbal communication skills; mastery in English and local language.
-
Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.
Kubernetes
JenkinsAmazon Web Services (AWS)● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts
KubernetesDockerJenkinsAs a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
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 allows your team to release to production.
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 support next generation technology that enables scaling ML 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, GitHub actions, MLFlow, Node.JS, React, Typescript amongst 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)
Summary
We are building the fastest, most reliable & intelligent trading platform. That requires highly available, scalable & performant systems. And you will be playing one of the most crucial roles in making this happen.
You will be leading our efforts in designing, automating, deploying, scaling and monitoring all our core products.
Tech Facts so Far
1. 8+ services deployed on 50+ servers
2. 35K+ concurrent users on average
3. 1M+ algorithms run every min
4. 100M+ messages/min
We are a 4-member backend team with 1 Devops Engineer. Yes! this is all done by this incredible lean team.
Big Challenges for You
1. Manage 25+ services on 200+ servers
2. Achieve 99.999% (5 Nines) availability
3. Make 1-minute automated deployments possible
If you like to work on extreme scale, complexity & availability, then you will love it here.
Who are we
We are on a mission to help retail traders prosper in the stock market. In just 3 years, we have the 3rd most popular app for the stock markets in India. And we are aiming to be the de-facto trading app in the next 2 years.
We are a young, lean team of ordinary people that is building exceptional products, that solve real problems. We love to innovate, thrill customers and work with brilliant & humble humans.
Key Objectives for You
• Spearhead system & network architecture
• CI, CD & Automated Deployments
• Achieve 99.999% availability
• Ensure in-depth & real-time monitoring, alerting & analytics
• Enable faster root cause analysis with improved visibility
• Ensure a high level of security
Possible Growth Paths for You
• Be our Lead DevOps Engineer
• Be a Performance & Security Expert
Perks
• Challenges that will push you beyond your limits
• A democratic place where everyone is heard & aware
DockerKubernetes- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for https://www.simplilearn.com/top-benefits-of-learning-devops-article" target="_blank">DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- Selecting and deploying appropriate https://www.simplilearn.com/best-ci-cd-tools-article" target="_blank">CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (https://www.simplilearn.com/open-source-pipeline-tools-for-devops-article" target="_blank">CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
- Managing periodic reporting on the progress to the management and the customer
Amazon Web Services (AWS)We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead ( and/or CTO ) to identify and establish DevOps practices in the company.
You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Implement and own the CI.
- Manage CD tooling.
- Implement and maintain monitoring and alerting.
- Build and maintain highly available production systems.
Qualification- B.tech in IT
Amazon Web Services (AWS)Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database
Jenkins
PythonJenkins
Git
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon