We Qcentrio is Hiring for the below role, please go through the job details and would appreciate your response if you are interested. Please do send us your updated resume and please feel free to reach me

System Architect – Earth Observation Data Platform

Role: Contract to Hire

Location: Bengaluru

Company Overview:

We are at the forefront of revolutionizing Earth Observation (EO) and Remote Sensing (RS)technology with cutting-edge software solutions. As our System Architect , you will be responsible for designing and overseeing the technical blueprint of our platform, ensuring it is robust, scalable, and future proof. You will collaborate with cross-functional teams, integrating advanced satellite imagery, data analytics, and cloud computing to build a service that is reliable and innovative.

Key Responsibilities:

Platform Architecture Design:
Design the architecture of a large-scale, cloud-based Earth Observation (EO) imagery platform, focusing on real-time data aggregation, storage, and delivery.
Ensure the platform’s design supports high scalability to handle large volumes of satellite imagery and metadata from multiple sources.
Incorporate microservices architecture and DevOps principles to enhance flexibility, modularity, and deployment speed.
Data Integration & Pipeline Development:
Lead the integration of EO data from multiple external providers, including Maxar, Planet Labs, and other satellite systems.
Develop robust data pipelines that can ingest, process, and serve imagery in real-time while maintaining high availability and low latency.
Cross-Functional Collaboration:
Work closely with teams including product managers, software engineers, data scientists, and UI/UX designers to align technical requirements with business goals.
Provide technical guidance and mentorship to engineering teams, ensuring best practices in system architecture, cloud infrastructure, and software development are followed.
Cloud Infrastructure and Storage:
Design and optimize cloud infrastructure for handling large volumes of EO data, ensuring cost-effective storage and fast retrieval.
Implement multi-cloud strategies (e.g., AWS, Azure, Google Cloud) to maximize the platform’s reliability and security.
Security & Compliance:
Ensure the system complies with relevant regulatory requirements and industry standards, especially for sensitive governmental or defense applications.
Oversee the implementation of encryption protocols, data privacy measures, and disaster recovery plans to safeguard the platform’s data assets.
Performance Optimization:
Continuously monitor system performance and work on optimizing processes to handle real-time data processing.
Introduce load balancing, auto-scaling mechanisms, and other solutions to improve platform efficiency and uptime.
Emerging Technologies Integration:
Keep track of technological advancements in EO, AI, and cloud computing, and integrate these technologies to keep the platform cutting-edge.
Explore the use of machine learning algorithms for automated analysis and anomaly detection within satellite imagery datasets.

Requirements:

Experience:
Minimum 8-10 years of experience in system architecture or technical leadership roles, ideally within Earth Observation, geospatial, or remote sensing industries.
Proven experience designing and implementing cloud-based platforms at scale, handling large datasets and real-time data streams.
Technical Expertise:
Strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and experience in cloud architecture design.
Expertise in microservices architecture, containerization (Docker, Kubernetes), and serverless computing.
Familiarity with Earth Observation platforms, satellite data, and geospatial technologies (e.g., GIS tools, remote sensing data).
Software & Tools:
Proficiency in Python, Java, or similar languages, with experience in building scalable APIs.
Experience with database systems for large-scale data management (e.g., NoSQL, SQL databases).
Knowledge of data streaming technologies (e.g., Apache Kafka) and CI/CD pipelines for automated deployments.
Leadership & Collaboration:
Strong leadership skills with the ability to manage technical teams and drive cross-functional collaboration.
Excellent communication skills, capable of presenting complex technical solutions to non-technical stakeholders.

Preferred Qualifications:

Experience with satellite imagery platforms (Maxar, Planet Labs) and data aggregation systems.
Exposure to AI/ML applications for image processing and geospatial data analytics.
Familiarity with regulatory frameworks for data privacy and security, particularly in defense or governmental sectors.

Why Join Us?

Innovative Environment: Work with cutting-edge satellite technology and build a platform that has a direct impact on industries like defense, agriculture, and disaster management.

Career Growth: As a key member of the team, you will influence the product roadmap and collaborate with experts from diverse fields.

Competitive Compensation: Enjoy a competitive salary and comprehensive benefits as you help shape the future of Earth Observation services.

Thanks

Sampath N

Qcentrio

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