Remote Data Automation Specialist Intern

Key Responsibilities

1. Kernel Lifecycle & Maintenance

Upstream Alignment: Lead the strategy for upgrading enterprise kernels (e.g., migrating from LTS 5.15 to 6.6) while maintaining binary compatibility where required.

Patch Porting: Expertly port functional and performance patches between disparate kernel versions, resolving complex code conflicts and API changes.

CVE Mitigation: Monitor the Linux Kernel Mailing List (LKML) and security advisories to identify and backport CVE patches from upstream to production environments.

2. Deep-Dive Debugging & Stability

Panic Analysis: Act as the final escalation point for Kernel Panics and "Oops" messages. Utilize kdump, crash, and gdb to perform post-mortem analysis of vmcores.

Boot-Time Resolution: Debug critical failures during the early boot process (UEFI handoff, initramfs, and early kernel init) where standard logging is unavailable.

Performance Tuning: Use ebpf, ftrace, and perf to identify bottlenecks in memory management, scheduler latency, or I/O throughput.

3. Driver Development & Hardware Integration

Driver Ownership: Design, develop, or maintain at least one Open Source or Proprietary Device Driver (Network, Storage, GPU, or Character devices).

Hardware Abstraction: Interface directly with hardware registers, managing DMA mappings, and optimizing interrupt handling (MSI-X, Threaded IRQs).

Out-of-Tree Management: Maintain driver compatibility across kernel updates using DKMS or similar frameworks.

4. Infrastructure & Automation

Registry Management: Oversee the distribution of custom kernel builds and modules via GitLab Container/Package Registries.

CI/CD for Kernel: Build automated testing pipelines (Hardware-in-the-loop) to validate kernel stability before enterprise-wide deployment.

Required Technical Skills:

Languages: Mastery of C/C++ Programming (C is preferred)

Kernel Internals: Deep understanding of VFS, Memory Management (MMU/Paging), Process Scheduling, and Networking Stacks.

Debugging Tools: Expert-level use of kprobes, trace-cmd, valgrind, and hardware-level debuggers (JTAG/Serial Console).

Build Systems: Proficiency with Kbuild, Makefiles, and building RPM/Debian packages for kernel distribution.

Security: Hands-on experience with SELinux/AppArmor policy development and kernel hardening (FIPS, KSPP).

Strong Product Designer profile.

Mandatory (Experience 1) – Must have a minimum 5+ years of experience in end-to-end Product Design (UI + UX) for B2B SaaS products or consumer tech products.

Mandatory (Experience 2) – Must have hands-on experience in both UX and UI, including User Research, User Journey Mapping, Wireframing, Prototyping, and Visual Design.

Mandatory (Portfolio) – Must have a strong design portfolio showcasing case studies of complete product design work — including UX-focused projects such as user research, personas, user flows, information architecture, and high-fidelity UI designs for B2B dashboards, SaaS products, or consumer-facing apps.

Mandatory (Tools) – Must be proficient in design tools such as Figma (wireframing, prototyping, design systems).

Mandatory (Company) – B2B SaaS OR Top Consumer-Tech Products (Swiggy, Dunzo, Nykaa, Cred)

Role: Sr. Frontend Developer

Exp: 6- 9 Years

CTC: up to 30 LPA

Location: Bangalore

What we Require

• To convert our existing web application into a micro front-end architecture. The ideal candidate should have experience in AngularJS, ReactJS, MobX, and SCSS. Exposure to socket integration, mqtt integration would be a plus.
• Identify our existing web application’s different components and modules. Separate them into independent micro front-ends.
• Develop and maintain micro front-ends using AngularJS, ReactJS, MobX and SCSS
• Implement and configure Module Federation in Webpack 5 to share components between micro front-ends.
• Optimize micro front-ends for maximum speed and scalability.

Job Summary:

We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.

Key Responsibilities:

Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.

Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.

Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.

Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.

Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.

Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.

Required Qualifications:

5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.

Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.

Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.

Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.

Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.

Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.

Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.

Experience implementing and maintaining CI/CD pipelines with industry-standard tools.

Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.

Excellent problem-solving skills, attention to detail, and a proactive mindset.

Strong communication skills and the ability to collaborate with diverse technical teams.

Preferred Qualifications (Nice to Have):

Experience with other Python frameworks (FastAPI, Django)

Knowledge of container orchestration tools like Kubernetes

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog

Prior experience working in an Agile/Scrum environment

Contributions to open-source projects or technical blogs

We are looking for two Senior DevOps Engineer to join our Mumbai-based infrastructure team for a critical on-premises deployment project. This role is focused on transforming manual, legacy deployment practices into structured, secure, and compliant processes within a Windows-first, latency-sensitive environment.

The successful candidate will drive the creation of SOPs, deployment pipelines (without containerization), and a staging environment to support a hybrid stack of ASP.NET MVC (.NET), MS SQL Server (replication mode), and Java microservices with MySQL. This position requires on-site presence in Mumbai due to regulatory and infrastructure constraints and will play a key role in ensuring compliance with SEBI, RBI, PFMI, and IOSCO standards.

Key responsibility would be to lead deployment modernization efforts in a secure, on-premises environment based in Mumbai. The role involves working with legacy Windows infrastructure, ASP.NET MVC apps, MS SQL replication, and manual deployment processes. No containerization or CI/CD tools are in place, so we’re looking for someone who can establish automation and structure from the ground up.

Mandatory: On-site availability in Mumbai, strong experience with manual Windows-based deployments, regulatory compliance awareness (SEBI/RBI/PFMI).

Duration: 3-6 months | Immediate start

• Develop iPhone and iPad handset clients
• Develop architecture and low-end designs based on customer and product management requirements
• Communication of designs and other development issues to developers and managers
• Design, develop and manage automated unit and acceptance tests
• Peer review of design code and tests
• Participate in the agile development program
• Bug Fixing
• Take ownership of deliverables
• Adhere to development methodologies

ESSENTIAL SKILLS/ATTRIBUTES:

• Minimum 5 years Objective-C development
• Excellent knowledge of Objective-C and the iOS SDK.
• Strong knowledge of Swift 3/4.
• Experience developing Universal apps across iOS9, iOS10 and iOS11
• Proficiency in Xcode, Interface Builder, and Instruments.
• Appreciation for the limitations of handset development, especially networking related issues
• Attention to detail and subtleties of UI design and implementation
• Understanding of design patterns
• Ability to design for scalability and resilience
• Strong application process flow and problem-solving techniques
• Strong focus on refactoring and code quality
• Understanding of software configuration management and release management
• High levels of software engineering literacy and communication skills
• Friendly and professional manner
• Third Level Qualifications in computing, mathematics, or science
• Experience with auto-layout and constraints
• #Experience in building web (PWA)/mobile app using ionic/reactjs (react native)

DESIRED SKILLS:

• Experience of working in an agile (XP) environment
• Experience working with Core Data
• Experience in delivering Libraries / SDK
• Experience of other mobile platforms a plus (Android, Windows Phone/Mobile)
• Product development and lifecycle experience
• Experience in unit testing and Test-Driven Development
• Scripting (JavaScript, Ruby, Python, Shell, etc.)
• Knowledge of build systems such as Maven, Fastlane
• RESTful development
• XML, JSON, HTTP, SyncML, HTML 5, CSS, Groovy, UML
• Experience in writing documentation

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression

Are you an experienced app Developer with a growth mindset and looking to explore your skills in the ed-tech domain? Then read on.

What you need to have:

Experience: 2 to 6 years

Annual CTC: Rupees 8,00,000 to 15,00,000