DevOps and Technical Support Engineer

Job Title: DevOps & Tech Support EngineerLocation:MG Road, Bangalore (Work From Office – 5 Days/Week) Company:PriceEasy About PriceEasyPriceEasy is a fast-growing SaaS company focused on pricing intelligence, data automation, and large-scale data processing. We power mission-critical insights for enterprises by integrating massive datasets, building reliable pipelines, and delivering analytics at scale. We are looking for aDevOps & Tech Support Engineerwho can support our cloud infrastructure, optimize data pipelines, ensure platform reliability, and help solve customer-facing technical issues with speed and precision. Role OverviewThis role combinesDevOps engineering ,cloud infrastructure management , andtechnical support . You will work closely with Product, Engineering, Customer Success, and Support teams to ensure our systems are reliable, scalable, and responsive to customer needs. You should be highly analytical, strong in Python/SQL, excellent at troubleshooting, and comfortable engaging directly with clients. Key ResponsibilitiesDevOps & InfrastructureDesign, deploy, and manage modernAWS cloud architectures(compute, networking, security, storage). Build and maintain scalableCI/CD pipelinesto support rapid deployment. Monitor uptime, performance, and reliability of distributed systems and microservices. Implement infrastructure automation and observability tools. Work with Snowflake, Redis, and other data infrastructure components.Technical Support & Data EngineeringHandle advanced technical support escalations from Sales, Support, and Customer Success. Troubleshoot issues across APIs, integrations, data pipelines, and cloud services. Develop and enhance data workflows usingPython ,SQL , Spark, or Hadoop. Work with large datasets and validate data accuracy, completeness, and quality. Support customer onboarding by understanding data requirements and resolving integration issues. Deliver clear, timely communication to internal teams and customers.Must-Have Skills & Experience3+ years of experiencein DevOps, Tech Support Engineering, or Data Engineering roles. Strong proficiency inPythonwith hands-on experience building or debugging scalable data solutions. Excellent skills inSQL , with experience in both SQL and NoSQL databases. Proven expertise inAWS cloud infrastructure(EC2, S3, Lambda, ECS, VPC, IAM, RDS, etc.). Hands-on experience withApache Spark / Hadoopor other big data frameworks. Familiarity withSnowflakefor warehousing andRedisfor caching/real-time workloads. Experience implementing and maintainingCI/CD pipelines(GitHub Actions, Jenkins, GitLab, etc.). Strong understanding ofmicroservicesand distributed systems. Excellent problem-solving abilities and acute attention to detail. Strong communication skills and the ability to work across technical and non-technical teams. Prior experience in high-growth startup environments (preferred). Knowledge of ML workflows and predictive analytics tooling (good to have).Ideal Candidate TraitsStrong analytical thinking with advanced Excel competency. Comes from aSaaS companywith significant data processing and pipeline exposure. Experience solving complex production issues under time pressure. Client-facing and confident in communication and presentation. Highly structured, proactive, and organized with excellent prioritization skills.Why Join PriceEasyWork on large-scale data and modern cloud technologies. High-impact role closely tied to customer success and platform reliability. Exposure to cross-functional teams and enterprise customers. Fast-paced, learning-driven environment with room for rapid growth. Work daily from our central office onMG Road, Bangalore .