Machine Learning (ML)
Kubernetes
Python
Amazon Web Services (AWS)
JenkinsDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerKubernetes· Strong knowledge on Windows and Linux
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
DockerKubernetesAmazon Web Services (AWS)Company - Apptware Solutions
Location Baner Pune
Team Size - 130+
Job Description -
Cloud Engineer with 8+yrs of experience
Roles and Responsibilities
● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud
● Experience maintaining and deploying highly-available, fault-tolerant systems at scale
● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
● Practical experience with Docker containerization and clustering (Kubernetes/ECS)
● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)
● Version control system experience (e.g. Git)
● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)
● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)
● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
● Bachelor's or master’s degree in CS, or equivalent practical experience
● Effective communication skills
● Hands-on cloud providers like MS Azure and GC
● A sense of ownership and ability to operate independently
● Experience with Jira and one or more Agile SDLC methodologies
● Nice to Have:
○ Sensu and Graphite
○ Ruby or Java
○ Python or Groovy
○ Java Performance Analysis
Role: Cloud Engineer
Industry Type: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent
Role Category: Programming & Design
DockerKubernetesJenkinsJob Description
We are looking for an experienced software engineer with a strong background in DevOps and handling
traffic & infrastructure at scale.
Responsibilities :
Work closely with product engineers to implement scalable and highly reliable systems.
Scale existing backend systems to handle ever-increasing amounts of traffic and new product
requirements.
Collaborate with other developers to understand & setup tooling needed for - Continuous
Integration/Delivery/Deployment practices.
Build & operate infrastructure to support website, backend cluster, ML projects in the organization.
Monitor and track performance and reliability of our services and software to meet promised SLA
You are the right fit if you have:
1+ years of experience working on distributed systems and shipping high-quality product features on
schedule
Experience with Python including Object Oriented programming
Container administration and development utilizing Kubernetes, Docker, Mesos, or similar
Infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar
Knowledge of cloud compute technologies, network monitoring
Experience with Cloud Orchestration frameworks, development and SRE support of these systems
Experience with CI/CD pipelines including VCS (git, svn, etc), Gitlab Runners, Jenkins
Working with or supporting production, test, and development environments for medium to large user
environments
Installing and configuring application servers and database servers
Experience in developing scripts to automate software deployments and installations
Experience in a 247 high-availability production environmentAbility to come with best solution by capturing big picture instead of focusing on minor details. Root
cause analysis
Mandatory skills: Shell/Bash Scripting, Unix, Linux, Dockers, Kubernetes, AWS, Jenkins, GIT
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
DockerJenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
KubernetesExperience: 8-10yrs
Notice Period: max 15days
Must-haves*
1. Knowledge about Database/NoSQL DB hosting fundamentals (RDS multi-AZ, DynamoDB, MongoDB, and such)
2. Knowledge of different storage platforms on AWS (EBS, EFS, FSx) - mounting persistent volumes with Docker Containers
3. In-depth knowledge of Security principles on AWS (WAF, DDoS, Security Groups, NACL's, IAM groups, and SSO)
4. Knowledge on CI/CD platforms is required (Jenkins, GitHub actions, etc.) - Migration of AWS Code pipelines to GitHub actions
5. Knowledge of vast variety of AWS services (SNS, SES, SQS, Athena, Kinesis, S3, ECS, EKS, etc.) is required
6. Knowledge on Infrastructure as Code tool is required We use Cloudformation. (Terraform is a plus), ideally, we would like to migrate to Terraform from CloudFormation
7. Setting CloudWatch Alarms and SMS/Email Slack alerts.
8. Some Knowledge on configuring any kind of monitoring tool such as Prometheus, Dynatrace, etc. (We currently use Datadog, CloudWatch)
9. Experience with any CDN provider configurations (Cloudflare, Fastly, or CloudFront)
10. Experience with either Python or Go scripting language.
11. Experience with Git branching strategy
12. Containers hosting knowledge on both Windows and Linux
The below list is *Nice to Have*
1. Integration experience with Code Quality tools (SonarQube, NetSparker, etc) with CI/CD
2. Kubernetes
3. CDN's other than CloudFront (Cloudflare, Fastly, etc)
4. Collaboration with multiple teams
5. GitOps
-
4+ years of experience in IT and infrastructure
-
2+ years of experience in Azure Devops
-
Experience with Azure DevOps using both as CI / CD tool and Agile framework
-
Practical experience building and maintaining automated operational infrastructure
-
Experience in building React or Angular applications, .NET is must.
-
Practical experience using version control systems with Azure Repo
-
Developed and maintained scripts using Power Shell, ARM templates/ Terraform scripts for Infrastructure as a Code.
-
Experience in Linux shell scripting (Ubuntu) is must
-
Hands on experience with release automation, configuration and debugging.
-
Should have good knowledge of branching and merging
-
Integration of tools like static code analysis tools like SonarCube and Snky or static code analyser tools is a must.
DockerKubernetes- Works independently without any supervision
- Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
- Experience in deploying highly complex, distributed transaction processing systems.
- Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
- As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.
Required Experience, Skills, and Qualifications
- 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
- At least one End to End CI/CD Implementation experience
- Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
- Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
- Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
- Experience architecting interaction with services and application deployments on AWS
- Experience with Groovy and writing Jenkinsfile
- Experience with repository management, code scanning/linting, secure scanning tools
- Experience with deployments and application configuration on Kubernetes
- Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
- Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
- Experience with message buses (e.g. Apache Kafka, NATS)
- Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)
PythonAmazon Web Services (AWS)DockerRadical is a platform connecting data, medicine and people -- through machine learning, and usable, performant products. Software has never been the strong suit of the medical industry -- and we are changing that. We believe that the same sophistication and performance that powers our daily needs through millions of consumer applications -- be it your grocery, your food delivery or your movie tickets -- when applied to healthcare, has a massive potential to transform the industry, and positively impact lives of patients and doctors. Radical works with some of the largest hospitals and public health programmes in India, and has a growing footprint both inside the country and abroad.
As a DevOps Engineer at Radical, you will:
Work closely with all stakeholders in the healthcare ecosystem - patients, doctors, paramedics and administrators - to conceptualise and bring to life the ideal set of products that add value to their time
Work alongside Software Developers and ML Engineers to solve problems and assist in architecture design
Work on systems which have an extraordinary emphasis on capturing data that can help build better workflows, algorithms and tools
Work on high performance systems that deal with several million transactions, multi-modal data and large datasets, with a close attention to detail
We’re looking for someone who has:
Familiarity and experience with writing working, well-documented and well-tested scripts, Dockerfiles, Puppet/Ansible/Chef/Terraform scripts.
Proficiency with scripting languages like Python and Bash.
Knowledge of systems deployment and maintainence, including setting up CI/CD and working alongside Software Developers, monitoring logs, dashboards, etc.
Experience integrating with a wide variety of external tools and services
Experience navigating AWS and leveraging appropriate services and technologies rather than DIY solutions (such as hosting an application directly on EC2 vs containerisation, or an Elastic Beanstalk)
It’s not essential, but great if you have:
An established track record of deploying and maintaining systems.
Experience with microservices and decomposition of monolithic architectures
Proficiency in automated tests.
Proficiency with the linux ecosystem
Experience in deploying systems to production on cloud platforms such as AWS
The position is open now, and we are onboarding immediately.
Please write to us with an updated resume, and one thing you would like us to see as part of your application. This one thing can be anything that you think makes you stand apart among candidates.
Radical is based out of Delhi NCR, India, and we look forward to working with you!
We're looking for people who may not know all the answers, but are obsessive about finding them, and take pride in the code that they write. We are more interested in the ability to learn fast, think rigorously and for people who aren’t afraid to challenge assumptions, and take large bets -- only to work hard and prove themselves correct. You're encouraged to apply even if your experience doesn't precisely match the job description. Join us.
Javascript
HTML/CSS
PostgreSQL
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon