REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.
Duties and Responsibilities :
- Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
- Build, release, and configuration management of production systems.
- System troubleshooting and problem-solving across platform and application domains.
- Suggesting architecture improvements, recommending process improvements.
- Evaluate new technology options and vendor products.
- Function well in a fast-paced, rapidly-changing environment
- Communicate effectively with people at all levels of the organization
Qualifications and Required Skills:
- Overall 3+ years of experience in various software engineering roles.
- 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
- Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
- Expertise in any of the programming languages – (NodeJS or Python preferable)
- Must have hands-on experience in using AWS/Azure - SDK/APIs.
- Must have experience in deploying, releasing, and managing production systems
- MCA or a degree in engineering in Computer Science, IT, or Electronics stream

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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
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL
This person MUST have:
- Min of 3-5 prior experience as a DevOps Engineer.
- Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
- Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
- Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
- Experience managing AWS infrastructure
- Hands on experience of Linux administration.
- Basic understanding of Kubernetes/Docker orchestration
- Works closely with engineering team for day to day activities
- Manges existing infrastructure/Pipelines/Engineering tools (On Prem or AWS) for engineering team (Build servers/Jenkin nodes etc.)
- Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
- Works closely with engineering team for improving existing pipelines for build .
- Troubleshoots problems across infrastructure/services
Experience:
- Min 5-7 year experience
Location
- Remotely, anywhere in India
Timings:
- 40 hours a week (11 AM to 7 PM).
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
- 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
Responsibilities
- Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
- Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
- Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
- Participating in on-call escalation to troubleshoot customer-facing issues
- Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
- Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.
Skills
- Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team
- Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
- Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
- Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
- Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
- CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution
- Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
- Should have strong skills in using JIRA build tool
- Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
- Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
- Experience in monitoring tools like Pingdom, Nagios, etc.
- Experience in reverse proxy services like Nginx and Apache
- Desirable experience in Bitbucket with version control tools like GIT/SVN
- Experience of manual/automated testing desired application deployments
- Experience in database technologies such as PostgreSQL, MySQL
- Knowledge of helm and terraform







