Key Responsibilities:-
• 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
About PGP Glass Pvt Ltd
About
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Primary Skills:
Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS
Additional Skills Required:
- Should have experience working with Jenkins, Git, Gerrit
- Should have Good understanding of AWS Security and execution.
- Should have Good python skills
- Should have experience of working with GIT, Gerrit, Jira, Confluence,
- Exposure to messaging systems Rabbit MQ
- Exposure to Html, Groovy, Javascript, shell scripting
- Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
- Exposure to Android skills.
- Should have experience in working with cloud-native architecture.
- Experience with log stash and elastic search
- Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
- May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
- Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
- Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation
Key Responsibilities:
- Perform a Technical Lead role for DevOPs development and support teams.
- Need to communicate & coordinate with both offshore and onsite teams
- Should translate business requirements into project plans and workable item/activities
- Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
- Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
- Understand the current applications and technical architecture and improvise them as needed.
- Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc
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)
Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform. We have two broader development phases to achieve our mission.
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
● Knowledgeable in networking and security Familiar with GCP services (in Databases, Containers,
Compute, stores, etc) with comfort in GCP serverless technologies
● Exposure to Linkerd, Helm charts, and Ambassador is mandatory
● Experience with Big Data on GCP BigQuery, Pub/Sub, Dataproc, and Dataflow is plus
● Experience with Groovy and writing Jenkinsfile
● Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
● Experience with message buses (e.g. Apache Kafka, NATS)
Regards
Team Merito
Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.
Qualifications BE/ B.Tech/ MCA in computer science
Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon
Job Description
Please connect me on Linkedin or share your Resume on shrashti jain
• 8+ years of overall experience and relevant of at least 4+ years. (Devops experience has be more when compared to the overall experience)
• Experience with Kubernetes and other container management solutions
• Should have hands on and good understanding on DevOps tools and automation framework
• Demonstrated hands-on experience with DevOps techniques building continuous integration solutions using Jenkins, Docker, Git, Maven
• Experience with n-tier web application development and experience in J2EE / .Net based frameworks
• Look for ways to improve: Security, Reliability, Diagnostics, and costs
• Knowledge of security, networking, DNS, firewalls, WAF etc
• Familiarity with Helm, Terraform for provisioning GKE,Bash/shell scripting
• Must be proficient in one or more scripting languages: Unix Shell, Perl, Python
• Knowledge and experience with Linux OS
• Should have working experience with monitoring tools like DataDog, Elk, and/or SPLUNK, or any other monitoring tools/processes
• Experience working in Agile environments
• Ability to handle multiple competing priorities in a fast-paced environment
• Strong Automation and Problem-solving skills and ability
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache).
•Very strong hands with Automation tools such Terraform
• Good experience with provisioning tools such as Ansible, Chef
• Experience with CI CD tools such as Jenkins.
•Experience managing production.
• Good understanding of security in IT and the cloud
• Good knowledge of TCP/IP
• Good Experience with Linux, networking and generic system operations tools
• Experience with Clojure and/or the JVM
• Understanding of security concepts
• Familiarity with blockchain technology, in particular Tendermint
Responsibilities
- Building and maintenance of resilient and scalable production infrastructure
Improvement of monitoring systems
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Incident analysis and fixing
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience of working with git
Preferred experience
Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience administering Atlassian products
● Responsible for development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Provide evidences in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should have knowledge on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card
1. Should have worked with AWS, Dockers and Kubernetes.
2. Should have worked with a scripting language.
3. Should know how to monitor system performance, CPU, Memory.
4. Should be able to do troubleshooting.
5. Should have knowledge of automated deployment
6. Proficient in one programming knowledge - python preferred.