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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
Primary Skills:
Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL
Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka
Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.
Cross-team coordination, incident triage and resolution, leadership and stakeholder management.
Secondary Skills:
Lang-chain, Langraph, RAG, MCP
Experience with working on LLM's and integrating with the existing applications
Python - FastAPI
Cache - Redis
Program Details:
Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Work on integrating the existing AI tools and should know major AI frameworks and libraries.
Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.
Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.
Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.
Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.
Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.
Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.
If you are interested for this role, kindly acknowledge this email with your interest.
We are a boutique IT services & solutions firm headquartered in the Bay Area with offices in India. Our offering includes custom-configured hybrid cloud solutions backed by our managed services. We combine best in class DevOps and IT infrastructure management practices, to manage our clients Hybrid Cloud Environments.
In addition, we build and deploy our private cloud solutions using Open stack to provide our clients with a secure, cost effective and scale able Hybrid Cloud solution. We work with start-ups as well as enterprise clients.
This is an exciting opportunity for an experienced Cloud Engineer to work on exciting projects and have an opportunity to expand their knowledge working on adjacent technologies as well.
Must have skills
• Provisioning skills on IaaS cloud computing for platforms such as AWS, Azure, GCP.
• Strong working experience in AWS space with various AWS services and implementations (i.e. VPCs, SES, EC2, S3, Route 53, Cloud Front, etc.)
• Ability to design solutions based on client requirements.
• Some experience with various network LAN/WAN appliances like (Cisco routers and ASA systems, Barracuda, Meraki, SilverPeak, Palo Alto, Fortinet, etc.)
• Understanding of networked storage like (NFS / SMB / iSCSI / Storage GW / Windows Offline)
• Linux / Windows server installation, maintenance, monitoring, data backup and recovery, security, and administration.
• Good knowledge of TCP/IP protocol & internet technologies.
• Passion for innovation and problem solving, in a start-up environment.
• Good communication skills.
Good to have
• Remote Monitoring & Management.
• Familiarity with Kubernetes and Containers.
• Exposure to DevOps automation scripts & experience with tools like Git, bash scripting, PowerShell, AWS Cloud Formation, Ansible, Chef or Puppet will be a plus.
• Architect / Practitioner certification from OEM with hands-on capabilities.
What you will be working on
• Trouble shoot and handle L2/ L3 tickets.
• Design and architect Enterprise Cloud systems and services.
• Design, Build and Maintain environments primarily in AWS using EC2, S3/Storage, CloudFront, VPC, ELB, Auto Scaling, Direct Connect, Route53, Firewall, etc.
• Build and deploy in GCP/ Azure as needed.
• Architect cloud solutions keeping performance, cost and BCP considerations in mind.
• Plan cloud migration projects as needed.
• Collaborate & work as part of a cohesive team.
• Help build our private cloud offering on Open stack.
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
Engineering Leader, Cloud Infrastructure.
Bengaluru, Karnataka, India
Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!
Your Impact:
We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,
networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for
you.
You Will:
Lead, inspire, and influence to make sure your team is successful
Partner with the recruiting team to attract and retain high-quality and diverse talent
Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration
Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.
Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.
You'll need:
BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
Strong fundamentals in distributed systems design and development
Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
Experience running production services in Public Clouds such as AWS, GCP, and Azure
Experience with running large stateful data systems in the Cloud
Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)
A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field
One of our US based client is looking for a Devops professional who can handle Technical as well as Trainings for them in US.
If you are hired, you will be sent to US for the working from there. Training & Technical work ratio will be 70% & 30% respectively.
Company Will sponsor for US Visa.
If you are an Experienced Devops professional and also given professional trainings then feel free to connect with us for more.
Implement integrations requested by customers
Deploy updates and fixes
Provide Level 2 technical support
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
Multiple Clouds [AWS/Azure/GCP] hands on experience
Good Experience on Docker implementation at scale.
Kubernets implementation and orchestration.

