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
If you are visionary, a code geek, love building the next generation AI devices for healthcare and are keen to make a difference in a unique way, then we are looking for you- We are looking for highly passionate and enthusiastic players for solving problems in building AI enabled devices for healthcare delivery.As a Senior Robotics Software Engineer at SigTuple, you will have the onus of implementing and optimizing the software which controls some state-of-the-art robotic devices. These devices will impact billions of people across the world by providing access to accurate and affordable healthcare. You will collaborate with our data science team, platform engineering team, and the robotics hardware team in cracking super complex problems in simple ways.What we are looking for :- Bachelor or Master in CS or EE/ECE from a Tier 1/Tier 2 institute- Expertise in C, C++, Python- Expertise in systems programming, preferably in kernel module development or device driver development.- Thorough understanding of the Linux operating system and system calls.- Strong foundations in design, analysis, and implementation of software. Basic understanding of machine learning or image processing will be a bonus.Motivation to learn new technologies.What should you have :- 5+ years of relevant experience.- Be an innovative and creative thinker, somebody who is not afraid to try something new and inspire others to do so.- Thrive in a fast-paced and fun environment.- Work with a bunch of nerds and disruptors striving for a big cause.
Site Reliability EngineerJob Description :You will be administering the infrastructure of an indigenous one-of-a-kind artificial intelligence cloud platform. You will be working with the dev teams to deploy, monitor and scale the distributed platform to handle real time AI analysis and loads and loads of visual data (images and videos in various formats). We're looking for people with extensive dev-ops experience and strong system programming skills.Responsibilities :1. You will be responsible for the up time and reliability of infrastructure of SigTuple and help backend teams achieve it by writing reliable software and automation2. Work with other development teams to automate deployment of modules and manage the build and release pipeline.3. Extensive process-level and node-level monitoring and auto healing of entire cluster.4. Managing, provisioning and servicing cloud servers.5. Contribution to back-end services to contribute to its infrastructure system design.Requirements :1. BTech/MTech in any engineering discipline.2. 3-6 years of experience in an Dev-Ops/Software Engineering role.3. Experience in management of cloud computing services. Extensive knowledge of any one cloud platform (Kubernetes, AWS, GCP, Azure etc.)4. Proficiency with any major monitoring framework (Sensu, Nagios etc.).5. Comfortable with any one scripting language (Python, Perl) and a Configuration management or Orchestration Tool (Ansible, Chef etc)6. Proficiency with OS and network fundamentals and strong Linux administrator skills.7. Experience with Container Tools (Docker ecosystem) will be a plus8. Experience of working with issues of scale of a system.9. Experience of working in a startup is a plus.