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/
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
2+ years of experience working on distributed systems and shipping high-quality product features on schedule
Intimate knowledge of the whole web stack (Front end, APIs, database, networks etc.)
Ability to build highly scalable, robust, and fault-tolerant services and stay up-to-date with the latest architectural trends
Experience with container based deployment, microservices, in-memory caches, relational databases, key-value stores
Hands-on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, RDS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch)

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Job Title: AWS DevOps Engineer
Experience Level: 5+ Years
Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon
Summary:
We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.
Key Responsibilities:
- Provision AWS infrastructure using Terraform (IaC).
- Manage and troubleshoot Kubernetes clusters (EKS/ECS).
- Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
- Support CI/CD pipelines using Jenkins and GitHub.
- Collaborate with teams to resolve infrastructure and deployment issues.
- Maintain documentation of infrastructure and operational procedures.
Required Skills:
- 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
- Strong Linux administration and troubleshooting skills.
- Experience managing Kubernetes clusters.
- Basic experience with CI/CD tools like Jenkins and GitHub.
- Good communication skills and a positive, team-oriented attitude.
Preferred:
- AWS Certification (e.g., Solutions Architect, DevOps Engineer).
- Exposure to Agile and DevOps practices.
- Experience with monitoring and logging tools.
What You’ll Do:
We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.
Responsibilities:
● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)
● Build CI/CD pipelines using Jenkins and integrate them with Git workflows
● Design and manage Kubernetes clusters and helm-based deployments
● Manage infrastructure as code using Terraform
● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)
● Ensure security best practices across cloud resources, networks, and secrets
● Automate repetitive operations and improve system reliability
● Collaborate with developers to troubleshoot and resolve issues in staging/production environments
What We’re Looking For:
Required Skills:
● 1–3 years of hands-on experience in a DevOps or SRE role
● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)
● Proficiency in Kubernetes (deployment, scaling, troubleshooting)
● Experience with Terraform for infrastructure provisioning
● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools
● Understanding of DevSecOps principles and cloud security practices
● Good command over Linux, shell scripting, and basic networking concepts
Nice to have:
● Experience with Docker, Helm, ArgoCD
● Exposure to other cloud platforms (AWS, Azure)
● Familiarity with incident response and disaster recovery planning
● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana
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
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
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
Designation - DevOps Engineer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 3-5 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
DevOps Engineer Job Description:-
Responsibilities
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer & client 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
Requirements
- Work experience as a DevOps Engineer or similar software engineering role
- Work experience on AWS
- Good knowledge of Ruby or Python
- Working knowledge of databases and SQL
- Problem-solving attitude
- Team spirit
- BSc in Computer Science, Engineering or relevant field
- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution
Contract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)










