Backend Developer - SE/SSE/Staff/Tech lead

Numino Labs 

Business: Software product engineering services: Pune, Goa.

Clients: Software product companies in the USA.

Business model: Exclusive teams for working on client products; direct and daily interactions with clients

Client 

Silicon Valley startup in genAI: 45m+ in funding.

Product: B2B SaaS. 

Core IP: Physics AI foundation model for hardware designers with specific focus on semi-conductor chip design.

Customers: World's top chip manufacturers

Responsibilities

• Team player: Delivers effectively with teams; interpersonal skills, communication skills, risk management skills
• Technical Leadership: Works with ambiguous requirements, designs solutions, independently drives delivery to customers
• Hands on coder: Leverages AI to drive implementation across Reactjs, Python, DB, UnitTest, TestAutomation & Cloud Infra & CI/CD Automation.

Requirements

• Strong computer science fundamentals: data structures & algorithms, networking, RDBMS, and distributed computing
• 8-15 years of experience on Python Stack: Behave, PyTest, Python Generators & async operations, multithreading, context managers, decorators, descriptors
• Python frameworks: FastAPI or Flask or DJango or SQLAlchemy
• Expertise in Microservices, REST/gRPC APIs design, Authentication, Single Sign-on
• Experience in high performance delivering solutions on Cloud
• Some experience in FE: Js & Nextjs/ReactJs
• Some experience in DevOps, Cloud Infra Automation, Test Automation

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

Role Overview:

We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology

foundation for our Support Excellence function. This role sits at the intersection of engineering,

product, and operations ensuring that our internal teams and, eventually, our end users

experience seamless, efficient, and data-driven support.

You will lead a small but high-impact team of engineers, own the support tooling roadmap, and

implement solutions that handle ticket triage, data quality issues, automation, and integrations

with our healthcare SaaS platform.

This is a hands-on technical leadership role ideal for someone who thrives on solving

operational challenges through technology, building frameworks from scratch, and enabling

customer-facing and internal support teams to scale effectively.

Key Responsibilities

1. Build & Enhance Support Platform:

● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,

knowledge bases, and automation bots.

● Design and implement scalable support frameworks, ensuring fast triage, data-driven

escalation, and high-quality resolution.

● Integrate support tooling with product backend, CMS, and analytics systems to enable

context-aware assistance.

2. Technical Leadership & Delivery:

● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,

and coding standards.

● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,

maintainable solutions.

● Partner closely with Program Managers and Business Analysts to translate requirements

into technical execution.

3. Automation, Data & AI-Driven Support:

● Implement automation workflows (bots, routing, notifications) to reduce manual load and

optimize SLA adherence.

● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive

resolution.

● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).

● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.

● Restore transparency and speed between business stakeholders and tech teams.

4. Cross-functional Collaboration:

● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured

early in the roadmap.

● Serve as the engineering voice in discussions on escalation flows, release readiness, and

customer-facing support enablement.

● Collaborate with content and ops teams to power self-service experiences (knowledge

bases, FAQs, in-app help).

5. Documentation & Knowledge Management:

● Maintain technical documentation for support tooling, workflows, and integrations.

● Contribute to knowledge bases (internal + external) alongside ops and content teams.

● Foster a documentation-first culture to enable faster onboarding and smoother

collaboration.

What We’re Looking For

Must-Have

● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead

role.

● Proven track record in building internal platforms, support tools, or automation systems.

● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration

experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira

Service Management).

● Experience leading small teams and owning delivery from design → build → release.

● Excellent problem-solving skills with a bias for execution in fast-paced environments.

Nice to Have

● Exposure to SaaS or healthcare platforms with multi-tenant architecture.

● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).

● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).

● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).

We are looking for a skilled Golang Developer with 3–5 years of experience to design, develop, and maintain high-performance, scalable backend systems. The ideal candidate should have strong experience in building microservices, working with cloud environments, and writing clean, maintainable code.

Key Responsibilities

• Develop, test, and maintain backend services using Golang.
• Build and optimize RESTful APIs / microservices.
• Write clean, efficient, and scalable code following best practices.
• Work with cross-functional teams (Product, QA, DevOps) to deliver high-quality features.
• Participate in code reviews and contribute to engineering standards.
• Troubleshoot, debug, and improve existing applications.
• Implement CI/CD pipelines and ensure strong application performance.

Must-Have Skills

• 3–5 years of hands-on experience with Golang development.
• Strong understanding of Concurrency, Goroutines, Channels, and Go internals.
• Experience with Microservices architecture.
• Knowledge of REST APIs and backend design patterns.
• Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, MySQL, Redis).
• Practical understanding of Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Familiarity with Git and CI/CD tools.

Good to Have

• Experience with gRPC, GraphQL, or message queues (Kafka/RabbitMQ).
• Exposure to monitoring tools (Prometheus, Grafana, ELK).
• Knowledge of performance tuning and distributed systems.
• Understanding of clean architecture and domain-driven design.

Responsibilities:

• Build scalable and optimized backend APIs / RPCs using Go.
• Experience in developing and maintaining live services (troubleshooting, monitoring).
• Work with designers and developers to structure the APIs and database.
• Implement Admin tools for live ops, events, and economy tweaking.
• Ensure that the backend is secure against hacks like tampering with API calls/data.
• Help evaluate and improve backend architecture for the company.

Requirements:

• Experience in working with relational databases. PostgreSQL is a plus.
• Experience Window: 5 to 10 years on Go (Good to have).
• Solid understanding of any of the existing cloud platforms like AWS/Azure/GCP.
• Experience with docker and containerization.
• Expert knowledge in any backend tech like Go, Kotlin, JAVA, . NET Core, NodeJS, Python, Angular, etc.
• Strong familiarity with system design, algorithms, and data structures.
• Experience in writing APIs and cloud database.
• Experience in CI/CD environments.
• Bonus: Experience with real-time multiplayer backend/networking/ games is plus.
• Bonus: Experience with any BAAS platform (Nakama/Playfab/Gamesparks).

• 3 + years expertise in Python 3.7, Django 2 (or Django 3).

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Able to integrate multiple data sources and databases into one system.

• Integration of user-facing elements developed by front-end developers with server-side logic in Django (RESTful APIs).

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills.

• Proficient understanding of code versioning tools such as Git.

The desirablesoptionals

• Django Channels, Web Sockets, Asyncio.

• Experience working with AWS or similar Cloud services.

• Experience in containerization technologies such as Docker.

• Understanding of fundamental design principles behind a scalable application (caching, Redis)