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Job Title: Manager Backend Engineering
Location: Bangalore [Hybrid]
Department: Platform Engineering
Reports to: CTO
Job Summary:
As Backend Engineering Manager, you will play a critical role in driving the development of our backend architecture and ensuring the successful delivery of high-quality, scalable web and mobile applications. You will be responsible for managing and mentoring a team of engineers, defining the technical strategy, and collaborating with cross-functional teams to deliver exceptional user experiences. Your experience with Node.js, Python, Microservices, Gen AI, PostgreSQL, MongoDB, API, Azure and other modern technologies will be pivotal in guiding the team towards achieving our technical vision.
This role requires a balance of deep technical expertise and leadership skills. You will have the opportunity to shape the technical direction, mentorengineers, and build high-performing teams while aligning engineering efforts with business objectives.
Key Responsibilities:
Leadership & Team Management:
Technical Strategy & Execution:
Collaboration & Communication:
Process Improvement & Innovation:
Required Qualifications:
Experience:
Leadership & Management:
Technical Expertise:
Job ID: 148871037
Skills:
domain driven design , rackspace , Java J2ee, Node, Continuous Integration, Unit Testing, Agile Scrum, Microservices, Ios, Java, Android, Gcp, Mvc, React Native, Amazon, Azure, Restful Services, distributed cloud-based environment, automated integration tests, Go, Ecommerce, Static Analysis, Web applications development, scalability engineering, cloud-native web applications, massive-scale performance
Skills:
Elk, Cloudformation, Prometheus, Bash, Grafana, Datadog, Jenkins, Gcp, Terraform, Azure, Helm, Kubernetes, Python, AWS, GitOps, Go, ArgoCD, GitHub actions
Skills:
data engineering , data warehouses , Mern Stack, Microservices, Devops, Rest Apis, Data Analytics, Etl, reverse ETL pipelines, cloud-native data platforms, infrastructure automation, connector development, data lakes, data orchestration workflows, scalable distributed systems, data ingestion frameworks, AWS cloud technologies, ETL ELT pipelines, CI CD pipelines, MCP iPaaS, B2B SaaS platforms, Business Intelligence, API ecosystems
Skills:
tunneling , telemetry , Pytest, Vpns, routing, Qos, Python, BGP, multicast, High Availability, Robot Framework, OSPF, switching, IS-IS, packet analysis, Go, traffic generators, Security, lab automation, Layer 3 networking, performance benchmarking tools, test infrastructure, DevOps practices, overlays, observability platforms
Skills:
Java, C, Javascript, Python, Agile tracking and process management tools