Blurgs AI
https://blurgs.aiAbout
At Blurgs, we specialize in leveraging cutting-edge satellite and aerial-based technologies to redefine data intelligence. Our expertise in large-scale data engineering allows us to transform complex, multi-source data into actionable insights, enhancing decision-making in the Maritime and Defense sectors. As we look to the future, Blurgs is committed to continuing the innovation, driving advancements that address the critical challenges faced by these industries. Join us as we lead the charge in revolutionizing industry standards and improving global security and maritime operations.
Tech stack
Python
MongoDB
Docker
Kubernetes
React.js
Angular (2+)Candid answers by the company
Hyderabad, Our current project with DRDO requires our engineering teams to operate from our on-site Hyderabad office near Kachiguda.
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Jobs at Blurgs AI
PythonMongoDB
JavaWe are seeking a Senior Data Engineer to design, build, and maintain a robust, scalable on-premise data infrastructure. The role focuses on real-time and batch data processing using technologies such as Apache Pulsar, Apache Flink, MongoDB, ClickHouse, Docker, and Kubernetes.
Ideal candidates have strong systems knowledge, deep backend data experience, and a passion for building efficient, low-latency data pipelines in a non-cloud, on-prem environment.
Key Responsibilities
1. Data Pipeline & Streaming Development
- Design and implement real-time data pipelines using Apache Pulsar and Apache Flink to support mission-critical systems.
- Build high-throughput, low-latency data ingestion and processing workflows across streaming and batch workloads.
- Integrate internal systems and external data sources into a unified on-premise data platform.
2. Data Storage & Modelling
- Design efficient data models for MongoDB, ClickHouse, and other on-prem databases to support analytical and operational use cases.
- Optimize storage formats, indexing strategies, and partitioning schemes for performance and scalability.
3. Infrastructure & Containerization
- Deploy, manage, and monitor containerized data services using Docker and Kubernetes in on-prem environments.
4. Performance, Monitoring & Reliability
- Monitor and fine-tune the performance of streaming jobs and database queries.
- Implement robust logging, metrics, and alerting frameworks to ensure high availability and operational stability.
- Identify pipeline bottlenecks and implement proactive optimizations.
Required Skills & Experience
- Strong experience in data engineering with a focus on on-premise environments.
- Expertise in streaming technologies such as Apache Pulsar, Apache Flink, or similar platforms.
- Deep hands-on experience with MongoDB, ClickHouse, or other NoSQL/columnar databases.
- Proficient in Python for data processing and backend development.
- Practical experience deploying and managing systems using Docker and Kubernetes.
- Strong understanding of Linux systems, performance tuning, and resource monitoring.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields (or equivalent experience).
Additional Responsibilities for Senior-Level Hires
Leadership & Mentorship
- Guide, mentor, and support junior engineers; establish best practices and code quality standards.
System Architecture
- Lead the design and optimization of complex real-time and batch data pipelines for scalability and performance.
Sensor Data Expertise
- Build and optimize sensor-driven data pipelines and stateful stream processing systems for mission-critical domains such as maritime and defense.
End-to-End Ownership
- Take full responsibility for the performance, reliability, and optimization of on-premise data systems.
PythonMongoDBDockerWe are seeking a Technical Lead with strong expertise in backend engineering, real-time data streaming, and platform/infrastructure development to lead the architecture and delivery of our on-premise systems.
You will design and build high-throughput streaming pipelines (Apache Pulsar, Apache Flink), backend services (FastAPI), data storage models (MongoDB, ClickHouse), and internal dashboards/tools (Angular).
In this role, you will guide engineers, drive architectural decisions, and ensure reliable systems deployed on Docker + Kubernetes clusters.
Key Responsibilities
1. Technical Leadership & Architecture
- Own the end-to-end architecture for backend, streaming, and data systems.
- Drive system design decisions for ingestion, processing, storage, and DevOps.
- Review code, enforce engineering best practices, and ensure production readiness.
- Collaborate closely with founders and domain experts to translate requirements into technical deliverables.
2. Data Pipeline & Streaming Systems
- Architect and implement real-time, high-throughput data pipelines using Apache Pulsar and Apache Flink.
- Build scalable ingestion, enrichment, and stateful processing workflows.
- Integrate multi-sensor maritime data into reliable, unified streaming systems.
3. Backend Services & Platform Engineering
- Lead development of microservices and internal APIs using FastAPI (or equivalent backend frameworks).
- Build orchestration, ETL, and system-control services.
- Optimize backend systems for latency, throughput, resilience, and long-term maintainability.
4. Data Storage & Modeling
- Design scalable, efficient data models using MongoDB, ClickHouse, and other on-prem databases.
- Implement indexing, partitioning, retention, and lifecycle strategies for large datasets.
- Ensure high-performance APIs and analytics workflows.
5. Infrastructure, DevOps & Containerization
- Deploy and manage distributed systems using Docker and Kubernetes.
- Own observability, monitoring, logging, and alerting for all critical services.
- Implement CI/CD pipelines tailored for on-prem and hybrid cloud environments.
6. Team Management & Mentorship
- Provide technical guidance to engineers across backend, data, and DevOps teams.
- Break down complex tasks, review designs, and ensure high-quality execution.
- Foster a culture of clarity, ownership, collaboration, and engineering excellence.
Required Skills & Experience
- 5–10+ years of strong software engineering experience.
- Expertise with streaming platforms like Apache Pulsar, Apache Flink, or similar technologies.
- Strong backend engineering proficiency — preferably FastAPI, Python, Java, or Scala.
- Hands-on experience with MongoDB and ClickHouse.
- Solid experience deploying, scaling, and managing services on Docker + Kubernetes.
- Strong understanding of distributed systems, high-performance data flows, and system tuning.
- Experience working with Angular for internal dashboards is a plus.
- Excellent system-design, debugging, and performance-optimization skills.
- Prior experience owning critical technical components or leading engineering teams.
Nice to Have
- Experience with sensor data (AIS, Radar, SAR, EO/IR).
- Exposure to maritime, defence, or geospatial technology.
- Experience with bare-metal / on-premise deployments.
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At Torero Softwares Ltd, we build next-gen ERP solutions that power businesses in healthcare, pharma, FMCG, distribution, and retail. With 25+ years of expertise and a 3,500+ client base, our flagship product, Medica Ultimate™, helps companies streamline operations, boost efficiency, and stay compliant.
Why Join Us?
🚀 Fast-Growing Tech Company – Work on industry-leading SaaS & ERP solutions
💡 Innovation-Driven – Be part of a team solving real-world business challenges
📈 Career Acceleration – Hands-on learning, mentorship & growth opportunities
📚 Collaborative Culture – Work alongside tech experts in a dynamic environment
Whether in sales, implementation, or customer success, you'll help transform businesses with technology.
📍 Location: Lower Parel, Mumbai
📩 Contact: Simran Jain | ✉ [email protected] | 📞 9702074236 (Call/WhatsApp)
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