Job Description
Senior Backend Engineer at Infocusp Innovations About the Role We are looking for a Senior Backend Engineer with strong hands-on experience in Python, FastAPI, AWS, Kubernetes, Kafka, Redis, and Grafana. The ideal candidate will have a strong backend engineering foundation combined with deep experience in cloud infrastructure, container orchestration, event-driven systems, monitoring, and production operations. You will be responsible for building scalable backend services, deploying and managing cloud-native applications, and ensuring the reliability, performance, and observability of production systems. This role requires someone who can design, develop, deploy, troubleshoot, and own systems end-to-end. Responsibilities Backend Engineering & Platform Development
- Design, develop, and maintain scalable backend services using Python, FastAPI, and asynchronous microservices architectures.
- Build and optimize data-intensive applications using PostgreSQL, Redis, MongoDB or equivalent technologies at production scale.
- Develop high-performance APIs and distributed systems to support AI-driven applications. Cloud Infrastructure & DevOps
- Design, deploy, and manage scalable and highly available applications on AWS.
- Work hands-on with services such as EKS, EC2, ECS, RDS, S3, Lambda, CloudWatch, IAM, VPC, and Load Balancers.
- Design secure and reliable cloud architectures following AWS best practices.
- Troubleshoot application, infrastructure, networking, and performance issues in production.
- Optimize cloud infrastructure for reliability, scalability, and cost efficiency Kubernetes & DevOps
- Deploy, operate, and scale containerized applications using Docker and Kubernetes.
- Strong hands-on experience with Amazon EKS.
- Manage Kubernetes deployments, services, ingress, secrets, config maps, namespaces, resource limits, and autoscaling.
- Troubleshoot pod failures, deployment issues, networking problems, resource constraints, and application crashes.
- Build and maintain CI/CD pipelines for automated testing, deployment, and release management.
- Implement Infrastructure as Code using Terraform, CloudFormation, or equivalent tools. Kafka & Distributed Systems
- Design and implement scalable event-driven architectures using Apache Kafka.
- Work with Kafka producers, consumers, topics, partitions, consumer groups, and offsets.
- Build reliable asynchronous processing and messaging workflows.
- Handle message retries, failures, duplicate processing, ordering, and consumer rebalancing.
- Monitor and troubleshoot Kafka performance, throughput, and consumer lag.
- Apply distributed-systems principles to build reliable and fault-tolerant services. Monitoring & Observability
- Build and maintain comprehensive monitoring and observability for applications and infrastructure.
- Strong hands-on experience with Grafana for dashboards, metrics visualization, and alerting.
- Work with Prometheus or equivalent monitoring and metrics platforms.
- Monitor application latency, error rates, resource utilization, Kubernetes health, Kafka consumer lag, and Redis performance.
- Implement structured logging, metrics, alerts, and distributed tracing where required.
- Proactively identify production issues and perform root-cause analysis. Requirements
- 5+ years of experience in backend engineering, DevOps, or a closely related role.
- B.E.B.TechB.S. Candidates entries with significant prior experience in the fields above will be considered.
- Strong experience in Python development and FastAPI.
- Hands-on experience with asynchronous microservices architectures.
- Expertise in PostgreSQL, Mongodb, Redis, and distributed backend systems.
- Strong hands-on experience with AWS.
- Strong production experience with Kubernetes, preferably AWS EKS.
- Experience with Apache Kafka for messaging, event-driven and distributed systems.
- Strong understanding of CI/CD pipelines and DevOps best practices.
- Guardrails in production: model fallback routing, prompt-injection defense, token cost budgets.
- Demonstrated ownership mindset with the ability to drive projects and deliver high-quality solutions.
- Experience in mentoring team members, conducting code reviews, and sharing best practices. Location: Ahmedabad/Pune
Location
Pune
Ahmedabad
Salary
₹10L – ₹30L
Experience
5+ years
