Product Tech Lead

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).

Job Title: Data Engineer

Experience: 4–14 Years

Work Mode: Remote

Employment Type: Full-Time

Position Overview:

We are looking for highly experienced Senior Data Engineers to design, architect, and lead scalable, cloud-based data platforms on AWS. The role involves building enterprise-grade data pipelines, modernizing legacy systems, and developing high-performance scoring engines and analytics solutions and collaborate closely with architecture, analytics, risk, and business teams to deliver secure, reliable, and scalable data solutions.

Key Responsibilities:

·      Design and build scalable data pipelines for financial and customer data

·      Build and optimize scoring engines (credit, risk, fraud, customer scoring)

·      Design, develop, and optimize complex ETL/ELT pipelines (batch & real-time)

·      Ensure data quality, governance, reliability, and compliance standards

·      Optimize large-scale data processing using SQL, Spark/PySpark, and cloud technologies

·      Lead cloud data architecture, cost optimization, and performance tuning initiatives

·      Collaborate with Data Science, Analytics, and Product teams to deliver business-ready datasets

·      Mentor junior engineers and establish best practices for data engineering

Key Requirements:

·      Strong programming skills in Python and advanced SQL

·      Experience building scalable scoring or rule-based decision engines

·      Hands-on experience with Big Data technologies (Spark/PySpark/Kafka)

·      Strong expertise in designing ETL/ELT pipelines and data modeling

·      Experience with cloud platforms (AWS/Azure) and modern data architectures

·      Solid understanding of data warehousing, data lakes, and performance tuning

·      Knowledge of CI/CD, version control (Git), and production support best practices

We are looking for a Unity or Unity3D Developer to join our team! As a Unity or Unity3D Developer at our company, you will be responsible for implementing 3D Virtual Tours for Real Estate projects helping  translate design ideas, concepts, and requirements into a functional and engaging VR experience. Development platforms include Android,IOS and Oculus Rift.

Roles and Responsibilities

• Plan and implement virtual tour functionality
• Transform design specification into functional tours
• Communicate with other team members for creating a seamless experience.
• Design, build, and maintain efficient, reusable, and reliable code
• Ensure the best performance, quality, and responsiveness of applications and tours
• Identify process and application bottlenecks and bugs

Desired Candidate Profile

Key Skills: Unity3D, C#, C++ and Javascript

• Extensive knowledge of Unity, as well as extensive experience as a game/real estate tour programmer, using C# on a major development platform, such as Microsoft Visual Studio (or equivalent).
• Has extensive knowledge of 3D computer graphics, including use of DirectX SDK, OpenGL, shader programming languages, and optimizing 3D performance in games/tours on both high-end and lowed.
• Experience with UI design & development.

• Experience with scripting, textures, animation, GUI styles, and user session management

• Native iOS & Android app development experience a plus

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

Location: Hyderabad and Bangalore (Remote after 3 months WFO)

Budget: 25-45LPA

Position: Senior Full stack Dotnet Developer with React

Experience: 8+ years of commercial experience

Mandatory skills: C#, Asp.Net MVC and WebAPI, React, OOPs

Role: Individual Contributor

Interview Process:

Offline Tech Test 

Customer technical Round

CTO Discussion

Job Title:

Telephony Engineer

Job Description:

- Support the operations team with debugging issues related to the telephony platform

- Identify issues with calls using monitoring and analysis tools such as VoIPMOnitor

- Write scripts to automate tasks, monitor the services and functionalities

- Contribute to the improvement of the system by providing ideas

- Help with capacity planning

- Perform the scheduled maintenance activities

- Modify the existing code to accommodate new features

Experience Range:

3- 6 years

Educational Qualifications:

Any graduation,

Job Responsibilities:

  • Knowledge of open source technologies, VoIP, SIP, WebRTC etc.

  • Shell scripting.

  • Experience in Asterisk and Kamailio or OpenSIPS.

  • C/C++ or JS programming with Linux.

  • 5-8 years experience.

  • Good communication skills.

  • Willingness to work in the night, whenever required, for handling support related issues.

Skills Required:

ViOP, OpenSIPS, SIP, Shell Scripting, Asterisk, kamailio, C++, Linux, Development,

You will be responsible for designing, building, and maintaining data pipelines that handle Real-world data at Compile. You will be handling both inbound and outbound data deliveries at Compile for datasets including Claims, Remittances, EHR, SDOH, etc.

You will

• Work on building and maintaining data pipelines (specifically RWD).
• Build, enhance and maintain existing pipelines in pyspark, python and help build analytical insights and datasets.
• Scheduling and maintaining pipeline jobs for RWD.
• Develop, test, and implement data solutions based on the design.
• Design and implement quality checks on existing and new data pipelines.
• Ensure adherence to security and compliance that is required for the products.
• Maintain relationships with various data vendors and track changes and issues across vendors and deliveries.

You have

• Hands-on experience with ETL process (min of 5 years).
• Excellent communication skills and ability to work with multiple vendors.
• High proficiency with Spark, SQL.
• Proficiency in Data modeling, validation, quality check, and data engineering concepts.
• Experience in working with big-data processing technologies using - databricks, dbt, S3, Delta lake, Deequ, Griffin, Snowflake, BigQuery.
• Familiarity with version control technologies, and CI/CD systems.
• Understanding of scheduling tools like Airflow/Prefect.
• Min of 3 years of experience managing data warehouses.
• Familiarity with healthcare datasets is a plus.

Compile embraces diversity and equal opportunity in a serious way. We are committed to building a team of people from many backgrounds, perspectives, and skills. We know the more inclusive we are, the better our work will be.         

• Join the product research team to develop the leading Geodata and GeoAI platform in Hong Kong
• Be part of the product team to develop web front-end interface with a focus of data and AI application
• Develop automated software in Arical data and AI pipeline
• On job training for rapid product development cycle
• Will have to deliver reliable and maintainable code
• Use analytical skills effectively for hands on problem solving
• Translate UI/UX design wireframes to actual code
• Work with UI/UX designer

• Degree or above in Computer Science, Information Systems, or related fields
• Coursework in programming, data science, machine learning, AI and databases
• Strong organizational and project management skills
• Proficiency with client-side scripting and database technology

• Knowledge of one or more system programming languages (Python, C++, Java, etc)
• Knowledge of MongoDB and other NoSQL data stores such as Redis
• Proficiency with HTML, CSS, JavaScript, cross-browser optimization
• Proficiency with one or more front-end web development framework (Bootstrap, Angular, React)
• Knowledge of one or more web-scripting languages (PHP, Rudy, Node.js etc)
• Knowledge of web-scraping library (Beautiful Soup, web driver etc)
• Knowledge of API packaging and Docker deployment
• Knowledge of app development
• Knowledge of UI/UX design

• Work from home

Responsibilities

• Build and mentor the computer vision team at TransPacks
• Drive to productionize algorithms (industrial level) developed through hard-core research
• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Eligibility

• Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
• Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
• D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems

Requirements

• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
• Ability to understand, optimize and debug imaging algorithms
• Understating and experience in openCV library
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• Understanding of engineering principles and a clear understanding of data structures and algorithms
• Experience in writing production level codes using either C++ or Java
• Experience with technologies/libraries such as python pandas, numpy, scipy
• Experience with tensorflow and scikit.