Member of Technical Staff

Python Software Engineer (3–5 Years Experience)

Location: [Pune]

Role Overview

We are seeking skilled Python engineers to join our core product team. You will work on backend services, API development, and system integrations, contributing to a codebase of over 250,000 Python lines and collaborating with frontend, DevOps, and native code teams.

Key Responsibilities

·    Design, develop, and maintain scalable Python backend services and APIs

·    Optimize performance and reliability of large, distributed systems

·    Collaborate with frontend (JS/HTML/CSS) and native (C/C++/C#) teams

·    Write unit/integration tests and participate in code reviews

·    Troubleshoot production issues and implement robust solutions

Required Skills

·    3–5 years of professional Python development experience

·    Strong understanding of OOP, design patterns, and modular code structure

·    Experience with MongoDB (PyMongo), Mako, RESTful APIs, and asynchronous programming

·    Familiarity with code quality tools (flake8, pylint) and test frameworks (pytest, unittest)

·    Experience with Git and collaborative development workflows

·    Ability to read and refactor large, multi-module codebases

Nice to Have

·    Experience with web frameworks (web.py, Flask, Django)

·    Knowledge of C/C++ or C# for cross-platform integrations

·    Familiarity with CI/CD, Docker, and cloud deployment

·    Exposure to security, encryption, or enterprise SaaS products

What We Offer

·    Opportunity to work on a mission-critical, enterprise-scale product

·    Collaborative, growth-oriented engineering culture

·    Flexible work arrangements (remote/hybrid)

·    Competitive compensation and benefits

Job Title: Senior Linux Kernel Engineer

Experience: 5–10 Years

Location: Bangalore / Chennai

Domain: Enterprise Linux / Kernel Development

Job Summary

We are seeking a highly skilled Senior Linux Kernel Engineer with deep expertise in kernel development, debugging, and performance optimization. The role involves working on enterprise-grade Linux distributions, kernel lifecycle management, security patching, and low-level hardware integration.

Key Responsibilities

1. Kernel Lifecycle & Maintenance

• Lead kernel upgrade strategies (e.g., LTS migrations such as 5.15 → 6.x) while ensuring stability and compatibility.
• Perform patch porting across kernel versions, resolving API and dependency conflicts.
• Track and mitigate security vulnerabilities by monitoring CVEs and upstream sources (e.g., LKML).
• Backport critical fixes to production kernels without impacting system stability.

2. Debugging & System Stability

• Act as an escalation point for kernel panics and system crashes.
• Perform post-mortem analysis using kdump, crash, and gdb.
• Debug early boot issues (UEFI, initramfs, kernel initialization).
• Conduct performance analysis using eBPF, ftrace, and perf to optimize system behavior.

3. Driver Development & Hardware Integration

• Design, develop, and maintain device drivers (network, storage, GPU, or character devices).
• Work closely with hardware through DMA, interrupts (MSI-X), and register-level programming.
• Maintain out-of-tree drivers using DKMS or similar frameworks.
• Ensure compatibility of drivers across kernel updates.

Required Technical Skills

• Programming: Strong expertise in C (mandatory) and C++
• Kernel Internals: Deep understanding of:
• Virtual File System (VFS)
• Memory Management (MMU, Paging)
• Process Scheduler
• Linux Networking Stack
• Debugging Tools:
• kdump, crash, gdb
• kprobes, trace-cmd, ftrace
• perf, valgrind
• Hardware debugging tools (JTAG, Serial Console)
• Build Systems:
• Kbuild, Makefiles
• Kernel packaging (RPM/Debian)
• Security:
• Experience with CVE patching and backporting
• Knowledge of SELinux/AppArmor
• Kernel hardening (FIPS, KSPP)

Preferred Skills

• Experience contributing to open-source kernel projects
• Familiarity with Linux Kernel Mailing List (LKML) workflows
• Exposure to enterprise Linux distributions (RHEL, Ubuntu, SUSE)
• Experience with performance tuning and system optimization at scale

1. Core Programming (C Language)

• Must have strong hands-on experience in C programming
• Comfortable with pointers, memory management, and low-level concepts

2. Kernel Internals Expertise

• Should have worked in at least one subsystem:
• VFS / File Systems
• Memory Management
• Scheduler / Networking

3. Debugging & Crash Analysis

• Experience handling kernel panics
• Hands-on with vmcore analysis tools

4. Security & Patching

• Understanding of CVE fixes and backporting

5. Driver Development

• Experience in writing or maintaining device drivers

6. Performance & Advanced Debugging

• Exposure to eBPF, ftrace, perf

7. Hardware-Level Understanding

• Knowledge of DMA, interrupts, hardware interaction

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication skills
• Ability to work independently and in collaborative environments
• Quick learner with adaptability to new technologies

Skills: 

Strong knowledge of MYSQL/PostGreSQL; Knowledge of MongoDB, Redis, Couch DB is preferred. 

Expertise in application development, databases, version control, and deployment. Skill - Node.js, 

Experience of AWS or GCP - especially services such as Lambda or google app engine 

Solid grasp of Service-oriented architecture. Web Services implementation on a medium to large scale 

Solid understanding of scaling mobile app services. Having worked the backend of an Android app is preferred 

Culture: 

Ability to work independently with minimal supervision 

Happy to deal with, and contribute to, an environment of daily builds Has worked in small teams, is versatile. Work within short timelines and be receptive to business needs. Can work closely with Digital, Product, Operations teams. 

Desirable Social Attributes: 

Has contributed to one or more Open Source projects through own initiative. Has provided a high quality answer to a question posted on StackOverflow. 

Role: 

As a Software Developer who would work independently, the candidate is expected actively acquire problems and deliver solutions as well as guide the team technically. Such a problem solver would obviously be a self starter with a high level of curiosity rather than a programming language specialist. 

He/she would be required to produce software of the highest quality through self-discipline, clear and engaged communication, and attention to detail. The role would include custom web application development on (most typically on Node.js and PHP/Python), databases (most typically MySql and MongoDb), version control (github), testing (necessarily through test scripts written before code is written), daily builds and eventual deployment onto AWS or GCP. 

Attributes of the ideal candidate: 

Highly productive software developer with the proven aptitude to understand and apply technology 

Determination to succeed despite obstacles and challenges, and a positive attitude favoring achievement of goals over open-ended investigation 

Always learning, evolving, and sharing what you know 

Inspired by complex, varied problems and rapid change 

Open-minded, flexible, and curious about new and better ideas

• Must have experience with Amazon Web Services (AWS)
• Experience with Python/Node.JS/Typescript
• At least 2+ years as back-end software developer
• A deep understanding of the benefits of the Microservice and serverless paradigms
• Prepared technical documentation, and understand why it’s important
• Understanding of database principals: SQL and NoSQL
• Collaboration and communication skills (you’ll be working with clients and internal teams)
• An understanding of programming fundamentals (OOP, data structures, algorithms)
• Familiarity and comfort with REST API, Postman
• The ability to work independently or within a team structure.
• A “lead by example” attitude, and motivation to deliver work you’re proud of

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Roles and responsibilities

• Develop well-designed performant and scalable applications and microservices
• Writing reusable, testable, and efficient code aligning to software development best practices
• Integrate data storage solutions including databases, key-value stores, blob stores, etc.
• Build integrations with 3rd party applications through apis’ to ingest and process data
• Develop state-of-the-art analytics tools to support diverse tasks ranging from ad hoc analysis to production-grade pipelines and workflows for customer applications
• Ensure security and data protection aspects within the applications
• Partner with Data Scientists and Analytics Engineers to improve the performance and reliability of advanced algorithms
• Ensure high performance and availability of distributed systems and applications
• Interact directly with client project team members and operational staff to support live customer deployments and production issues

• 4+ years of experience in developing applications using python and related technologies.
• Familiarity in data ingestion and processing libraries in python.
• Thorough understanding of REST and GRPC technologies.
• Experience in using ORM (Object Relational Mapper) libraries for data access.
• Experiencing in developing and hosting APIs and integration with external applications.
• Experience in building data models and repositories using relational and NoSql databases.
• Knowledge of JIRA, Bitbucket and agile methodologies.
• Good to have knowledge of AWS services like Lambda, dynamodb, kinesis and others.
• Understanding of fundamental design principles behind a scalable application
• Familiarity with event-driven programming
• Strong unit test and debugging skills
• Affinity for learning and applying new technologies and solving new problems
• Effective organizational skills with strong attention to detail
• Experience in working with docker is a plus
• Comfortable in working with Unix/Linux environment
• Strong communication skills — both written and verbal