Radiologist

Requirements

Core skills:

● Strong background in Linux / Unix Administration and

troubleshooting

● Experience with AWS (ideally including some of the following:

VPC, Lambda, EC2, Elastic Cache, Route53, SNS, Cloudwatch,

Cloudfront, Redshift, Open search, ELK etc.)

● Experience with Infra Automation and Orchestration tools

including Terraform, Packer, Helm, Ansible.

● Hands on Experience on container technologies like Docker,

Kubernetes/EKS, Gitlab and Jenkins as Pipeline.

● Experience in one or more of Groovy, Perl, Python, Go or

scripting experience in Shell.

● Good understanding of with Continuous Integration(CI) and

Continuous Deployment(CD) pipelines using tools like Jenkins,

FlexCD, ArgoCD, Spinnaker etc

● Working knowledge of key value stores, database technologies

(SQL and NoSQL), Mongo, mySQL

● Experience with application monitoring tools like Prometheus,

Grafana, APM tools like NewRelic, Datadog, Pinpoint

● Good exposure on middleware components like ELK, Redis, Kafka

and IOT based systems including Redis, NewRelic, Akamai,

Apache / Nginx, ELK, Grafana, Prometheus etc

Good to have:

● Prior experience in Logistics, Payment and IOT based applications

● Experience in unmanaged mongoDB cluster, automations &

operations, analytics

● Write procedures for backup and disaster recovery

Core Experience

● 3-5 years of hands-on DevOps experience

● 2+ years of hands-on Kubernetes experience

● 3+ years of Cloud Platform experience with special focus on

Lambda, R53, SNS, Cloudfront, Cloudwatch, Elastic Beanstalk,

RDS, Open Search, EC2, Security tools

● 2+ years of scripting experience in Python/Go, shell

● 2+ years of familiarity with CI/CD, Git, IaC, Monitoring, and

Logging tools

Job Description

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Key Responsibilities and Must-have skills:

• Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
• Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
• Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies and risk management strategies
• Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
• Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
• Experience with application discovery preferably with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
• Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
• Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
• Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
• Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
• Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
• Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
• Hands-on Experience with application build/release processes CI/CD pipelines
• Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA

Additional Requirements:

• Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
• Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
• Assist Sales and Marketing team in creating sales and marketing collateral
• Write whitepapers and technology blogs to be published on social media and Intuitive website
• Create case studies for projects successfully executed by Intuitive delivery team
• Conduct sales enablement sessions to coach sales team on new offerings
• Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
• Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
• Strong passion for modern technology exploration and development
• Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
• Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
• Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
• Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus

We are a self organized engineering team with a passion for programming and solving business problems for our customers. We are looking to expand our team capabilities on the DevOps front and are on a lookout for 4 DevOps professionals having relevant hands on technical experience of 4-8 years. 

We encourage our team to continuously learn new technologies and apply the learnings in the day to day work even if the new technologies are not adopted. We strive to continuously improve our DevOps practices and expertise to form a solid backbone for the product, customer relationships and sales teams which enables them to add new customers every week to our financing network.

As a DevOps Engineer, you :

- Will work collaboratively with the engineering and customer support teams to deploy and operate our systems. 

- Build and maintain tools for deployment, monitoring and operations.

- Help automate and streamline our operations and processes. 

- Troubleshoot and resolve issues in our test and production environments. 

- Take control of various mandates and change management processes to ensure compliance for various certifications (PCI and ISO 27001 in particular) 

- Monitor and optimize the usage of various cloud services. 

- Setup and enforce CI/CD processes and practices

Skills required :

- Strong experience with AWS services (EC2, ECS, ELB, S3, SES, to name a few)

- Strong background in Linux/Unix administration and hardening 

- Experience with automation using Ansible, Terraform or equivalent 

- Experience with continuous integration and continuous deployment tools (Jenkins) 

- Experience with container related technologies (docker, lxc, rkt, docker swarm, kubernetes)

- Working understanding of code and script (Python, Perl, Ruby, Java)

- Working understanding of SQL and databases 

- Working understanding of version control system (GIT is preferred) 

- Managing IT operations, setting up best practices and tuning them from time-totime. 

- Ensuring that process overheads do not reduce the productivity and effectiveness of small team. - Willingness to explore and learn new technologies and continuously refactor thetools and processes.

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.

Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics

2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Azure Data Factory, Azure Data Bricks, Talend, BODS, Jenkins
• Microsoft Office (mandatory)
• Strong knowledge on Databases, Azure Synapse, data management, SQL
• Knowledge on any cloud platforms (Azure, AWS etc.,)

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