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Locations

Bengaluru (Bangalore)

Experience

2 - 14 years

Salary

{{800000 / ('' == 'MONTH' ? 12 : 100000) | number}} - {{2500000 / ('' == 'MONTH' ? 12 : 100000) | number}} {{'' == 'MONTH' ? '/mo' : 'lpa'}}

Skills

Python
Cloud Computing
Java
Microservices
Redis
Apache Kafka
Webservices
Distributed Systems

Job description

Job Description SigTuple is seeking Systems or Backend Engineers engineers to build a highly scalable platform for running deep learning based medical solutions. The engineering team of SigTuple is responsible for simplifying complex workflows of medical analyses into an elegant software design to make it scalable and distribute it across hundreds of machines. In this role, you'll utilize a combination of systems design experience, network knowledge, troubleshooting skills, and programming to to ingest terabytes of data, analyse it using distributed computing and deliver infrastucture and storage platform services. The ideal candidate is a technical generalist with skills ranging from production systems/network management to software development. Experience with delivering in cloud based platforms is a must. Responsibilities 1. Design and create distributed system software frameworks for processing data in a near real-time manner. 2. Create next generation software for data scientists to analyse and train their AI models on which require you to understand data science and AI. 3. Complete ownership of infrastructure components and automation of operational activities. 4. Ensuring reliability of all systems made by various development teams. Requirements 1. BTech/MTech in any engineering discipline. 2. 3-6 years of experience in an Backend or Systems Role. 3. Experience in management of cloud computing services. Extensive knowledge of any one cloud platform (AWS, Azure, OpenStack etc.) 4. Proficiency with OS and network fundamentals 5. Experience of working with scale is a must 6. Hands on experience with machine learning will be a plus

About SigTuple

Data driven intelligence for healthcare

Founded

2015

Type

Products & Services

Size

51-250 employees

Stage

Raised funding
View company

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