Sr Software Engineer
InfoVision Inc.
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- backend
- C++
- configuration management
- data ingestion
- database
- DevOps
- Docker
- IoT
- Kafka
- Kubernetes
- Linux
- microservices
- PostgreSQL
- production support
- RabbitMQ
- Root Cause Analysis
- REST APIs
About the role
InfoVision Inc.
Website:
infovision.com
Job details:
Critical Skills To Possess
- 5–8 years in backend development
- Strong experience in microservices architecture
- Experience working on production-grade systems
Technical Skills
- Strong programming skills in:
- C++ / Go
- Experience with:
- REST APIs
- distributed systems
- Strong understanding of:
- multithreading
- concurrency
IoT & Messaging
- Experience with:
- MQTT (preferred / important)
- message queues / event systems
- Understanding of real-time data processing
Database
- Strong knowledge of PostgreSQL
- Experience in:
- query optimization
- indexing
- handling large datasets
Infrastructure & Deployment Awareness
- Experience with:
- Docker (important)
- Basic understanding of:
- Linux systems
- networking basics (ports, connectivity)
- Exposure to:
- Kubernetes / K3s (good to have)
- deployment environments (non-cloud setups preferred)
Good to Have
- Experience working on on-prem or edge-based systems
- Exposure to self-hosted messaging systems (Kafka, RabbitMQ, EMQX, Mosquitto)
- Knowledge of event-driven architecture
- Exposure to hybrid systems (on-prem + cloud sync)
Preferred Qualifications
- BS degree in Computer Science or Engineering or equivalent experience
Roles & Responsibilities
Roles And Responsibilities
- Microservices Development
- Design and develop lightweight, high-performance microservices
- Implement REST/gRPC APIs for BOS and external integrations
- Ensure clean separation of concerns and modular design
- Build services that are environment-agnostic and easily deployable
- IoT & MQTT Integration
- Develop services to:
- consume MQTT messages from devices
- process and validate incoming data
- Implement:
- message parsing
- retry mechanisms
- fault tolerance
- Handle:
- intermittent connectivity
- duplicate messages and out-of-order events
- Data Processing & Storage
- Handle high-volume IoT data ingestion
- Design efficient data handling logic for:
- real-time processing
- batch processing (if required)
- Work with PostgreSQL for:
- data persistence
- optimized queries
- Ensure efficient disk and memory usage in constrained environments
- Distributed System Implementation
- Implement:
- asynchronous communication
- event-driven patterns
- Handle:
- concurrency
- idempotency
- eventual consistency
- Work with self-hosted messaging systems (MQTT brokers, Kafka, RabbitMQ, etc.)
- Performance, Reliability & Scalability
- Optimize services for:
- high throughput
- low latency
- Identify and fix performance bottlenecks
- Ensure services scale within fixed hardware limits (not infinite cloud scaling)
- Build resilient services with:
- retry strategies
- circuit breakers (if applicable)
- Deployment Awareness & Operability
- Write services that are:
- container-friendly (Docker)
- easy to configure via environment/config files
- Understand:
- service startup dependencies
- configuration management
- Support:
- on-prem deployments and upgrades
- Ensure services are:
- easy to debug in real environments (logs, error handling)
- Code Quality & Best Practices
- Follow coding standards defined by architects
- Write clean, maintainable, testable code
- Participate in:
- code reviews
- design discussions
- Collaboration
- Work closely with:
- System Architect (for design clarity)
- DevOps (for deployment & release packaging)
- QA team (for testing and validation)
- Contribute to improving overall system design
- Production Support
- Troubleshoot production issues in customer/on-prem environments
- Perform root cause analysis
- Fix bugs and improve system reliability
- Handle real-world issues like config mismatches, infra limitations
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