
BASIC QUALIFICATIONS
- Ability to design for scale
- Implement solutions for broadly defined problems
- Drive best practices and engineering excellence
- Development of code in object oriented languages like C++ and Java and build large scale robust distributed systems
- 3+ years experience building successful production software systems
- A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field)
- Experience developing software services and an understanding of design for scalability, performance and reliability.
- Mastery of the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++) and open-source technologies (Linux, Spring)
- Proven ability to work in a fast paced, agile and in an ownership and results oriented culture.

About Amazon India
About
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)
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The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
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By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
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Qualifications
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- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
- 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
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Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
You will excel in this role if
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- You take ownership, collaborate, and follow through to the very end.
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- B.E. /B.Tech. in Computer Science or MCA from a reputed university.
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- Familiarity with message queue systems and AMQP and Kafka is desirable.
- Experience as a participant in agile methodologies.
- Excellent written and verbal communication skills and presentation skills.
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Qualification :
- A Bachelors degree in Computer Science (or equivalent experience)
- M-Tech or advanced degree a plus
- Hackathon participation, hands-on programming capability, competitive programming is a plus












