DataWeave provides Digital Shelf Analytics and Dynamic Pricing solutions to Digital Commerce businesses that enable them to grow their revenues and compete profitably. Powered by AI, we provide easily consumable and actionable intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions

DevOps @DataWeave

Dataweave Data Platform team builds and maintains core SaaS infrastructure responsible for data aggregation,processing and data distribution. DevOps is integral part of the platform team. With huge volume data to be processed, stored and secured across various computing needs like Machine Learning, Report Generation, Image processing etc. there is a need of massive, optimized infrastructure. We achieve it by taking a hybrid cloud approach, combined with container-based highly manageable, scalable deployments.

How we work?

It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

What do we offer?

• Some of the most challenging data problems. Huge text and image datasets that you can play with!
• Ability to see the impact of your work and the value you're adding to our customers almost immediately.
• Opportunit to work on different problems and explore a wide variety of tools to figure out what really excites you.
• A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
• Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
• Last but not the least, competitive salary packages and fast paced growth opportunities.

Relevant set of skills

• Working knowledge of build automation and CI/CD pipelines
• Well versed in DNS, Load Balancing, SSL, TCP/IP, networking and security
• AWS architecture, developer, or devops certifications a plus
• Exposure to scripting languages such as Python, bash is a plus
• Experience in creating cloud cost models and running cloud readiness assessments
• Auto and manual scaling in AWS, High Availability concepts, monitoring, data backup and disaster recovery
• Knowledge of cloud security and identity best practices
• AWS architecture including IAM, ELB, EC2, S3, RDS, DynamoDB, Cloudformation, Cloudfront, Autoscaling, DataPipeline, Security Groups
• Knowledge of application deployment and data migration on AWS
• Bachelor’s Degree in CS or related field, or equivalent work experience
• 4 – 7 years of experience in large-scale cloud-based Infrastructure, AWS preferred

Role and responsibilities

• Design and implement solutions for monitoring, scaling, performance improvement, and configuration management of systems running SaaS applications on AWS infrastructure
• Develop automation framework for public cloud infrastructure deployments
• Troubleshoot and resolve network, hardware, software, storage and performance issues
• Maintenance, management, and streamlining of all of our servers, external processes, and hosted services
• Participate in architecture planning sessions with the development team
• Develop tools for automation, monitoring and system reporting
• Making sure that the infrastructure is secured on a regular basis
• Make sure the infra is running optimally and scalable.