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Exp: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
Objectives :
- Building and setting up new development tools and infrastructure
- Working on ways to automate and improve development and release processes
- Testing code written by others and analyzing results
- Ensuring that systems are safe and secure against cybersecurity threats
- Identifying technical problems and developing software updates and ‘fixes’
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
- Planning out projects and being involved in project management decisions
Daily and Monthly Responsibilities :
- Deploy updates and fixes
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Skills and Qualifications :
- Degree in Computer Science or Software Engineering or BSc in Computer Science, Engineering or relevant field
- 3+ years of experience as a DevOps Engineer or similar software engineering role
- Proficient with git and git workflows
- Good logical skills and knowledge of programming concepts(OOPS,Data Structures)
- Working knowledge of databases and SQL
- Problem-solving attitude
- Collaborative team spirit
Description
DevOps Engineer / SRE
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform etc
- Recommend a migration and consolidation strategy for DevOps tools
- Design and implement an Agile work management approach
- Make a quality strategy
- Design a secure development process
- Create a tool integration strategy
We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.
What we are looking for
- Must have strong knowledge of Kubernetes and Helm3
- Should have previous experience in Dockerizing the applications.
- Should be able to automate manual tasks using Shell or Python
- Should have good working knowledge on AWS and GCP clouds
- Should have previous experience working on Bitbucket, Github, or any other VCS.
- Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
- Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
- Should have a good understanding of ELK Stack.
- Exposure on Jira, confluence, and Sprints.
What you will do:
- Mentor junior Devops engineers and improve the team’s bar
- Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
- Oversight of all server environments, from Dev through Production.
- Responsible for the automation and configuration management
- Provides stable environments for quality delivery
- Assist with day-to-day issue management.
- Take lead in containerising microservices
- Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
- Enables the automation of CI/CD
- Implement dashboard to monitors various
- 1-3 years of experience in DevOps
- Experience in setting up front end best practices
- Working in high growth startups
- Ownership and Be Proactive.
- Mentorship & upskilling mindset.
- systems and applications
what you’ll get- Health Benefits
- Innovation-driven culture
- Smart and fun team to work with
- Friends for life
- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
- Design, Develop, deploy, and run operations of infrastructure services in the Acqueon AWS cloud environment
- Manage uptime of Infra & SaaS Application
- Implement application performance monitoring to ensure platform uptime and performance
- Building scripts for operational automation and incident response
- Handle schedule and processes surrounding cloud application deployment
- Define, measure, and meet key operational metrics including performance, incidents and chronic problems, capacity, and availability
- Lead the deployment, monitoring, maintenance, and support of operating systems (Windows, Linux)
- Build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies
- Run incident resolution within the environment, facilitating teamwork with other departments as required
- Automate the deployment of new software to cloud environment in coordination with DevOps engineers
- Work closely with Presales, understand customer requirement to deploy in Production
- Lead and mentor a team of operations engineers
- Drive the strategy to evolve and modernize existing tools and processes to enable highly secure and scalable operations
- AWS infrastructure management, provisioning, cost management and planning
- Prepare RCA incident reports for internal and external customers
- Participate in product engineering meetings to ensure product features and patches comply with cloud deployment standards
- Troubleshoot and analyse performance issues and customer reported incidents working to restore services within the SLA
- Monthly SLA Performance reports
As a Cloud Operations Manager in Acqueon you will need….
- 8 years’ progressive experience managing IT infrastructure and global cloud environments such as AWS, GCP (must)
- 3-5 years management experience leading a Cloud Operations / Site Reliability / Production Engineering team working with globally distributed teams in a fast-paced environment
- 3-5 years’ experience in IAC (Terraform, K8)
- 3+ years end-to-end incident management experience
- Experience with communicating and presenting to all stakeholders
- Experience with Cloud Security compliance and audits
- Detail-oriented. The ideal candidate is one who naturally digs as deep as they need to understand the why
- Knowledge on GCP will be added advantage
- Manage and monitor customer instances for uptime and reliability
- Staff scheduling and planning to ensure 24x7x365 coverage for cloud operations
- Customer facing, excellent communication skills, team management, troubleshooting
Cloud Software Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Roles and Responsibilities
· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms
· Apply continuous delivery practices to deliver high-quality software and value as early as possible.
· Work in collaborative teams to build new experiences
· Participate in the entire cycle of software consulting and delivery from ideation to deployment
· Integrating multiple software products across cloud and hybrid environments
· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud
· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices
Desired Candidate Profile : *** freshers can also apply ***
· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.
· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.
· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.
· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives
· Driven to develop technical skills for oneself and team-mates
· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.
· Possess at least one cloud-related certification from AWS, Azure, or equivalent
· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns
· Past experience quickly learning new languages and frameworks
· Ability to work with a high degree of autonomy and self-direction
http://www.banyandata.com" target="_blank">www.banyandata.com
As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.




