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Senior Software Engineer
Senior Software Engineer
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Senior Software Engineer

Censius Team's profile picture
Posted by Censius Team
4 - 10 yrs
₹20L - ₹30L / yr
Remote only
Skills
skill iconPython
skill iconDjango
skill iconFlask
skill iconJava
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.
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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.
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About PGAGI:


We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.



About the Role


We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.



You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.



Key Responsibilities


AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.



BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.



VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.



Duration & Compensation


Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance



Perks & Benefits


Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.



How to Apply


Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.



Selection Process


Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead



Requirements


MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.



GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.



SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.





TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL



Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!



#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

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* Job Title: Lead I - Software Engineering-Kotlin, Java, Spring Boot, Aws

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 5 -7 years

* Location: Trivandrum, Thiruvananthapuram

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

 

Skill Examples:

  1. Explain and communicate the design / development to the customer
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  5. Use data models
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  7. Perform and evaluate test in the customer or target environment
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  14.  Follow high level of business etiquette in emails and other business communication
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  17.  Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.
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  19.  Estimate time and effort resources required for developing / debugging features / components
  20.  Make on appropriate utilization of Software / Hardware’s.
  21.  Strong analytical and problem-solving abilities

 

Knowledge Examples:

  •     Appropriate software programs / modules
  1. Functional and technical designing
  2. Programming languages – proficient in multiple skill clusters
  3. DBMS
  4. Operating Systems and software platforms
  5. Software Development Life Cycle
  6. Agile – Scrum or Kanban Methods
  7. Integrated development environment (IDE)
  8. Rapid application development (RAD)
  9. Modelling technology and languages
  10. Interface definition languages (IDL)
  11. Knowledge of customer domain and deep understanding of sub domain where problem is solved

 

Additional Comments:

We are seeking an experienced Senior Backend Engineer with strong expertise in Kotlin and Java to join our dynamic engineering team.

The ideal candidate will have a deep understanding of backend frameworks, cloud technologies, and scalable microservices architectures, with a passion for clean code, resilience, and system observability.

You will play a critical role in designing, developing, and maintaining core backend services that power our high-availability e-commerce and promotion platforms.

 

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Design, develop, and maintain backend services using Kotlin (JVM, Coroutines, Serialization) and Java.

Build robust microservices with Spring Boot and related Spring ecosystem components (Spring Cloud, Spring Security, Spring Kafka, Spring Data).

Implement efficient serialization/deserialization using Jackson and Kotlin Serialization. Develop, maintain, and execute automated tests using JUnit 5, Mockk, and ArchUnit to ensure code quality.

Work with Kafka Streams (Avro), Oracle SQL (JDBC, JPA), DynamoDB, and Redis for data storage and caching needs. Deploy and manage services in AWS environment leveraging DynamoDB, Lambdas, and IAM.

Implement CI/CD pipelines with GitLab CI to automate build, test, and deployment processes.

Containerize applications using Docker and integrate monitoring using Datadog for tracing, metrics, and dashboards.

Define and maintain infrastructure as code using Terraform for services including GitLab, Datadog, Kafka, and Optimizely.

Develop and maintain RESTful APIs with OpenAPI (Swagger) and JSON API standards.

Apply resilience patterns using Resilience4j to build fault-tolerant systems.

Adhere to architectural and design principles such as Domain-Driven Design (DDD), Object-Oriented Programming (OOP), and Contract Testing (Pact).

Collaborate with cross-functional teams in an Agile Scrum environment to deliver high-quality features.

Utilize feature flagging tools like Optimizely to enable controlled rollouts.

 

Mandatory Skills & Technologies Languages:

Kotlin (JVM, Coroutines, Serialization),

Java Frameworks: Spring Boot (Spring Cloud, Spring Security, Spring Kafka, Spring Data)

Serialization: Jackson, Kotlin Serialization

Testing: JUnit 5, Mockk, ArchUnit

Data: Kafka (Avro) Streams Oracle SQL (JDBC, JPA) DynamoDB (NoSQL) Redis (Caching)

Cloud: AWS (DynamoDB, Lambda, IAM)

CI/CD: GitLab CI Containers: Docker

Monitoring & Observability: Datadog (Tracing, Metrics, Dashboards, Monitors)

Infrastructure as Code: Terraform (GitLab, Datadog, Kafka, Optimizely)

API: OpenAPI (Swagger), REST API, JSON API

Resilience: Resilience4j

Architecture & Practices: Domain-Driven Design (DDD) Object-Oriented Programming (OOP) Contract Testing (Pact) Feature Flags (Optimizely)

Platforms: E-Commerce Platform (CommerceTools), Promotion Engine (Talon.One)

Methodologies: Scrum, Agile

 

Skills: Kotlin, Java, Spring Boot, Aws

 

Must-Haves

Kotlin (JVM, Coroutines, Serialization), Java, Spring Boot (Spring Cloud, Spring Security, Spring Kafka, Spring Data), AWS (DynamoDB, Lambda, IAM), Microservices Architecture

 

 

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Trivandrum

Virtual Weekend Interview on 7th Feb 2026 - Saturday

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Greetings!


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Company Name : Wissen Technology

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Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: https://www.linkedin.com/company/wissen-technology


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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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