Senior Software Engineer

at Censiusai

Senior Software Engineer

Censiusai

Company

Home

Senior Software Engineer

at Censiusai

Posted by Censius Team

4 - 10 yrs

₹20L - ₹30L / yr

Remote only

Skills

Python

Django

Flask

Java

SQL

Our goal

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)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

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.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

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.

Responsibilities

Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
Continually evaluate and improve DevOps processes for a cloud-native codebase.
Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
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)
Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
(Bonus: worked with big data in data lakes/warehouses).
(Bonus: built an end-to-end ML pipeline)

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

You have a product mindset. You understand, care about, and can relate to our customers.
You take ownership, collaborate, and follow through to the very end.
You love solving difficult problems, stand your ground, and get what you want from engineers.
Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

Our goal

The culture

The role:

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.

Responsibilities

Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
Continually evaluate and improve DevOps processes for a cloud-native codebase.
Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
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)
Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
(Bonus: worked with big data in data lakes/warehouses).
(Bonus: built an end-to-end ML pipeline)

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

You have a product mindset. You understand, care about, and can relate to our customers.
You take ownership, collaborate, and follow through to the very end.
You love solving difficult problems, stand your ground, and get what you want from engineers.
Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Subodh Popalwar

Software Engineer, Memorres

For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

Companies hiring on Cutshort

About Censiusai

Founded :

2020

Type :

Products & Services

Size :

20-100

Stage :

Bootstrapped

About

Based out of Dallas TX, Censius makes AI observable by providing teams visibility into the real-world performance of ML models. Join us to work with some of the most passionate folks and to make an impact.

Connect with the team

Censius Team

Connect

Company social profiles

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