

About Khati Solutions Pvt. Ltd.
About
Connect with the team
Company social profiles
Similar jobs

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –
- Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack
- Building and Scaling on Kubernetes
- Ensuring the Security of Upswing Cloud Infra
- Building Security Checks and automation to improve overall security posture
- Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
- Mentoring people across the teams to enable best practices
- Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure
What will you do if you join us?
- Write a lot of code
- Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org
- Taking Ownership of existing, ongoing, and future initiatives
- Plan Architecture- for upcoming infrastructure
- Build for Scale, Resiliency & Security
- Introduce best practices wrt Devops & Cloud in the team
- Mentor new/junior team members and eventually build your own team
You should have
- Curiosity for on-the-job learning and experimenting with new technologies and ideas
- A strong background in Linux environment
- Must have Programming skills and Experience
- Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
- Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
- Experience in Terraform is highly desirable but not mandatory
- Experience with Kubernetes and Docker is required
- Understanding of the Java Technologies and Stack
- Any other Devops related experience will be considered
● 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
As 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)


Job Description:
• Contribute to customer discussions in collecting the requirement
• Engage in internal and customer POC’s to realize the potential solutions envisaged for the customers.
• Design/Develop/Migrate VRA blueprints and VRO workflows; strong hands-on knowledge in vROPS and integrations with application and VMware solutions.
• Develop automation scripts to support the design and implementation of VMware projects.
Qualification:
• Maintain current, high-level technical knowledge of the entire VMware product portfolio and future product direction and In depth level knowledge
• Maintain deep technical and business knowledge of cloud computing and networking applications, industry directions, and trends.
• Experience with REST API and/or Python programming. TypeScript/NodeJS backend experience
• Experience with Kubernetes
• Familiarity with DevOps tools like Ansible, Puppet, Terraform
• End to end experience in Architecture, Design and Development of VMware Cloud Automation suite with good exposure to VMware products and/or Solutions.
• Hands-on experience in automation, coding, debugging and release.
• Sound process knowledge from requirement gathering, implementation, deployment and Support.
• Experience in working with global teams, customers and partners with solid communication skills.
• VMware CMA certification would be a plus
• Academic background in MS/BE/B-Tech/ IT/CS/ECE/EE would be preferred.
The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
- As a DevOps Engineer, you need to have strong experience in CI/CD pipelines.
- Setup development, testing, automation tools, and IT infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Selecting and deploying appropriate CI/CD tools
- Deploy and maintain CI/CD pipelines across multiple environments (Mobile, Web API’s & AIML)
Required skills & experience:
- 3+ years of experience as DevOps Engineer and strong working knowledge in CI/CD pipelines
- Experience administering and deploying development CI/CD using Git, BitBucket, CodeCommit, Jira, Jenkins, Maven, Gradle, etc
- Strong knowledge in Linux-based infrastructures and AWS/Azure/GCP environment
- Working knowledge on AWS (IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, etc)
- Experience with Docker containerization and clustering (Kubernetes/ECS)
- Experience on Android source(AOSP) clone, build, and automation ecosystems
- Knowledge of scripting languages such as Python, Shell, Groovy, Bash, etc
- Familiar with Android ROM development and build process
- Knowledge of Agile Software Development methodologies
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.
Job Description :
- The engineer should be highly motivated, able to work independently, work and guide other engineers within and outside the team.
- The engineer should possess varied software skills in Shell scripting, Linux, Oracle database, WebLogic, GIT, ANT, Hudson, Jenkins, Docker and Maven
- Work is super fun, non-routine, and, challenging, involving the application of advanced skills in area of specialization.
Key responsibilities :
- Design, develop, troubleshoot and debug software programs for Hudson monitoring, installing Cloud Software, Infra and cloud application usage monitoring.
Required Knowledge :
- Source Configuration management, Docker, Puppet, Ansible, Application and Server Monitoring, AWS, Database Administration, Kubernetes, Log monitoring, CI/CD, Design and implement build, deployment, and configuration management, Improve infrastructure development, Scripting language.
- Good written and verbal communication skills
Qualification :
Education and Experience : Bachelors/Masters in Computer Science
Open for 24- 7 shifts

