11+ Linux+ Jobs in India

Job Description – Embedded Application Engineer (4–6 Years Experience)

Position

Embedded Application Engineer

Experience

4–6 Years

Location

Hyderabad

Job Summary

We are seeking a highly motivated Embedded Application Engineer with 4–6 years of experience in developing, deploying, and maintaining embedded software applications on Linux-based platforms. The ideal candidate should possess strong programming skills in Go, C/C++, Linux, and Python, leverage modern AI-assisted development tools such as Cursor, and have experience working with industrial communication protocols, messaging systems, and DevOps automation pipelines.

The role involves designing edge applications, integrating industrial devices, implementing secure communication frameworks, and enabling scalable deployment and lifecycle management across ARM and AMD-based hardware platforms.

Key Responsibilities

· Design, develop, and maintain embedded applications for Linux-based edge devices.

· Develop high-performance software components using Go, C/C++, Linux, and Python.

· Utilize AI-powered coding assistants (e.g., Cursor) to improve development productivity and code quality.

· Implement and integrate communication protocols such as:

o MQTT

o Sparkplug B

o JSON-based messaging interfaces

o Industrial protocols (Modbus preferred)

· Build edge-to-cloud data communication services and telemetry pipelines.

· Develop software for ARM and AMD processor architectures.

· Create automated CI/CD pipelines using CircleCI and related DevOps tools.

· Implement automated testing, deployment, and release processes.

· Perform debugging, profiling, and performance optimization for embedded systems.

· Collaborate with product, cloud, and platform engineering teams to deliver scalable and secure solutions.

· Support software configuration, packaging, deployment, and version management.

· Contribute to system monitoring, diagnostics, and fleet lifecycle management.

Required Skills & Qualifications

Programming Languages

· Strong proficiency in:

o Go

o C/C++

o Python

o Linux Application development

· Experience using AI-assisted coding tools such as Cursor or similar developer productivity tools.

Embedded & Platform Expertise

· Strong experience with:

o Linux-based embedded development

o Application-level debugging

o ARM and AMD processor architectures

o Multi-threaded and concurrent application design

Communication & Protocols

· Hands-on experience with:

o MQTT

o Sparkplug B

o JSON message structures and APIs

· Familiarity with industrial communication protocols:

o Modbus (preferred)

DevOps & Automation

· Experience with:

o CircleCI

o Continuous Integration (CI)

o Continuous Delivery/Deployment (CD)

o Automated testing frameworks

o Version control systems (Git)

Device & Fleet Management

· Experience with:

o Software packaging and deployment

o Remote device management

o Fleet monitoring and maintenance

o Canonical Snap package management

Preferred Qualifications

· Experience in IoT, Edge Computing, Building Automation, Industrial Automation, or HVAC domains.

· Familiarity with container technologies (Docker/Podman).

· Understanding of cybersecurity practices for embedded devices.

· Experience with cloud integration (AWS, Azure, or GCP).

· Knowledge of telemetry, diagnostics, and remote software update mechanisms.

Key Competencies

· Strong problem-solving and debugging skills.

· Excellent communication and collaboration abilities.

· Ability to work independently in agile development environments.

· Focus on software quality, maintainability, and reliability.

· Passion for automation and modern software engineering practices.

Nice-to-Have Domain Experience

· IoT Edge Platforms

· Industrial Automation Systems

· Building Management Systems (BMS)

· HVAC Controls and Equipment Connectivity

· Smart Building and Energy Management Solutions

Experience Range: 4–6 Years

Education: Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related field.

Job Title: Digital Marketing Faculty

Job Type: Part-time | Contract

Location: Kerala

Salary: ₹20,000 – ₹40,000 per month (Based on experience)

Job Summary

We are looking for a Digital Marketing Faculty to deliver practical and industry-oriented sessions for college students. The ideal candidate should have strong knowledge of digital marketing concepts, current marketing trends, and AI-powered tools. Malayalam language proficiency is mandatory.

Responsibilities

• Deliver classroom sessions on Digital Marketing.
• Teach SEO, Google Ads, Social Media Marketing, Meta Ads, Content Marketing, Email Marketing, and Google Analytics.
• Conduct practical demonstrations, assignments, and project-based learning.
• Prepare lesson plans, presentations, and assessments.
• Keep students updated with the latest digital marketing trends and AI tools.
• Support students with projects and career guidance.

Requirements

• Bachelor's degree or higher in a relevant field.
• Experience in Digital Marketing or teaching is preferred.
• Malayalam (Mandatory).
• Good communication in English.
• Strong presentation and classroom management skills.

Location: Arjan Garh, MG Road Delhi

Job Type: Full-Time

Job Role: UI/UX Engineer

Pay range: 25K- 45K

IMMEDIATE JOINERS PREFFERED

About Us: Our Aim is to develop ‘More Data, More Opportunities’. We take pride in building a cutting-edge AI solutions to help financial institutions mitigate risk and generate comprehensive data.We are looking for a talented UI/ UX Designer to join our dynamic team and contribute to that which makes a real impact.

Job Description:

As a UI/UX Designer at Timble, you will play a key role in designing intuitive, engaging, and visually appealing user interfaces for our web and mobile applications. You will collaborate closely with product managers, developers, and other stakeholders to create user-centered designs that align with our business goals and user needs.

Key Responsibilities:

• Design: Create wireframes, prototypes, and high-fidelity mockups for web and mobile applications using tools like Sketch, Figma, Adobe XD, or similar.
• User Interface Design: Translate design wireframes and mockups into functional user interfaces using HTML, CSS, and JavaScript.
• Collaboration: Work closely with product managers, developers, and other team members to gather requirements and feedback, and to ensure designs are implemented accurately.
• Usability Testing: Plan and conduct usability tests, analyze results, and iterate on designs based on feedback and findings.
• Problem-Solving: Identify and address design challenges, propose solutions, and continuously improve the user experience.
• Documentation: Document design processes, decisions, and user flows for future reference and team alignment.

Qualifications and requirements:

• Experience: 1 year experience as a UI/UX Designer or similar role.
• Portfolio: A strong portfolio showcasing your design work, including case studies and examples of your design process.
• Skills: Proficiency in design tools such as Sketch, Figma, Adobe XD, or similar.
• User-Centered Design: Solid understanding of user-centered design principles, usability best practices, and accessibility standards.
• Communication: Excellent verbal and written communication skills with the ability to articulate design decisions and collaborate effectively with cross-functional teams.
• Education: Bachelor’s degree in any field.
• Languages & Frameworks: Proficiency in HTML5, CSS3, JavaScript, and familiarity with front-end frameworks like React, Angular.

How to Apply:

Share your application at linkedin.com/in/shefali-gupta08/ along with Current CTC, ECTC and Notice Period

Review Criteria:

Mandatory:

• Strong Technical Recruiter profile
• Must have 7+ years of experience in end to end recruitment (sourcing, screening, interviewing, offer negotiation, joining etc)
• Must have 4+ years of experience in tech recruitment across different tech roles
• Strong grasp of technical concepts and ability to evaluate candidate fit for different technical roles
• Must have experience of analyzing data to improve hiring funnel, take data-driven hiring decisions
• Must be proficient in advanced sourcing techniques such as Boolean search, social media recruiting, and referral programs
• Excellent verbal and written communication skills — should be articulate, confident, and well-spoken in interactions
• Product companies
• This is an IC role

Preferred:

Bachelor’s degree in Human Resources, or a related field

Role & Responsibilities:

The company’s Human Resources team plays a critical role in enabling business growth by building high-performing, mission-driven teams across geographies. As a people-first organization, we are focused on attracting, developing, and retaining top talent while creating an engaging and inclusive employee experience.

As a Senior Technical Recruiter, you will own end-to-end hiring for technology roles. You will partner closely with technology leaders to understand evolving workforce needs, build strong talent pipelines, and deliver high-quality hiring outcomes. This role requires a strong understanding of technology roles, proactive sourcing capabilities, and the ability to influence stakeholders while strengthening company’s employer brand.

What you will be expected to do:

• Own and manage the full recruitment lifecycle for technology and IT roles, from sourcing to offer management and onboarding support.
• Partner with technology leaders to understand hiring priorities, role requirements, and future talent needs.
• Design and execute effective sourcing strategies, leveraging online platforms, professional networks, referrals, and offline channels.
• Conduct initial screening and structured interviews using technical, behavioural, and competency-based assessment methods.
• Coordinate and manage interview processes, ensuring a smooth and positive candidate experience.
• Review employment applications and background verification reports to ensure compliance with hiring standards.
• Act as a trusted advisor to candidates, providing clarity on role expectations, compensation, benefits, and work culture.
• Build and maintain strong, long-term relationships with active and passive talent pools.
• Track and report on key talent acquisition metrics, including time-to-hire, source effectiveness, and pipeline health.
• Stay abreast of market trends, emerging technologies, and competitor hiring practices to strengthen hiring strategies.
• Analyse and improve hiring and candidate experience through surveys, feedbacks, etc.

Ideal Candidate:

• 7 to 10 years of overall recruitment experience, with 4-7 years focused on technical/IT hiring.
• Good understanding of technology roles and the ability to assess and articulate technical requirements.
• Hands-on experience with Applicant Tracking Systems (ATS) and resume databases.
• Good analytical skills, including market mapping, talent research, and data-driven hiring decisions.
• Proficiency in advanced sourcing techniques such as Boolean search, social media recruiting, and referral programs.
• Good verbal and written communication skills, with the ability to influence both candidates and hiring managers.
• High levels of ownership, self-motivation, and a proactive, solution-oriented mindset.
• Bachelor’s degree in Human Resources, or a related field (preferred).

Perks, Benefits and Work Culture:

• Because we are a high-growth global enterprise, and because we prefer to promote successful employees internally, Greenlight Planet offers opportunities for flexible assignments and rapid international career progression as well as a competitive salary and a fun, supportive work environment. Our Creative team, headquartered in Nairobi, is an innovative team, operating in a stimulating atmosphere where our only measure is in the results we deliver.
• Greenlight Planet is an Equal Opportunity Employer. We consider all applicants without regard to race, color, religion, sex, marital status, sexual orientation, national origin, HIV/Aids, disability or any other protected characteristic as established by law. If you are a committed, passionate professional who wants to become part of a compelling social venture that is redefining energy access in Asia and Africa for the underserved, we want to hear from you.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Experience Level: Intern

Job Description:

As a Customer Support Intern, you will be responsible for supporting users, addressing their queries, and contributing to the overall customer satisfaction. This is a hands-on opportunity to learn and grow in a fast-paced environment, focusing on developing your skills in customer service and support strategies.

Key Responsibilities:

Issue Resolution:

• Assist in responding to customer queries and concerns via email, chat, or phone.
• Escalate complex issues to senior team members and follow up until resolved.
• Document customer issues and solutions for reference.

Customer Assistance:

• Guide users on how to navigate the platform and resolve common issues.
• Provide proactive assistance to improve user experience.

Process Improvement Support:

• Assist in identifying common issues and suggest solutions to enhance support processes.
• Collect feedback from customers and share it with relevant teams.

Team Collaboration:

• Work closely with the customer support team to learn best practices and improve response quality.
• Coordinate with other departments to resolve cross-functional customer issues.

Qualifications:

• Pursuing or recently completed a Bachelor's degree in any field (preferred).
• Excellent communication skills (written and verbal).
• A positive attitude with a customer-first approach.
• Basic understanding of social media platforms and online communities is a plus.
• Strong problem-solving skills and the ability to work collaboratively.
• Willingness to learn and adapt to a dynamic work environment.

Perks of the Internship:

• Hands-on experience in customer service in the social media industry.
• Opportunity to work in a collaborative and innovative work environment.
• Certificate of Internship upon completion.
• Mentorship from experienced professionals.
• Opportunity for a full-time role based on performance.

How to Apply:

If you're eager to kickstart your career in customer support, submit your resume and a brief cover letter to mail I'd outlining your interest and how you can contribute to our team.

We look forward to welcoming a motivated and enthusiastic intern to our team!

Thanks & Regards,

Yamini Patel

HR Manager

1. Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
2. Work collaboratively with software engineering to define infrastructure and deployment requirements
3. Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
4. Ensure configuration and compliance with configuration management tools
5. Administer and troubleshoot Linux based systems
6. Troubleshoot problems across a wide array of services and functional areas
7. Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
8. Perform infrastructure cost analysis and optimization

As the Delivery Manager, you will be the key driver of successful project deliveries, ensuring that our HR Tech SAAS solutions are implemented efficiently, meeting client expectations, and delivering tangible value. You will lead a dynamic team, foster collaboration, and manage the end-to-end delivery lifecycle.

Key Responsibilities:

• Project Leadership:

Lead and oversee the end-to-end delivery of HR Tech SAAS projects, managing timelines, resources, and deliverables.

Act as the primary point of contact for clients during the delivery phase, ensuring effective communication and addressing concerns promptly.

• Team Management:

Build and lead a high-performing delivery team, providing guidance, mentorship, and support. Foster a collaborative and positive team culture, encouraging continuous learning and professional development.

• Resource Planning:

Collaborate with internal teams to assess resource requirements for project delivery. Allocate resources effectively to ensure optimal project execution.

• Client Collaboration:

Collaborate with clients to understand their unique requirements and expectations. Establish and maintain strong client relationships, ensuring client satisfaction throughout the project lifecycle.

• Quality Assurance:

Implement and oversee quality assurance processes to ensure the delivered solutions meet high standards. Conduct regular reviews and audits to assess project quality.

• Risk Management:

Identify potential risks and challenges during project delivery and develop mitigation strategies. Proactively communicate risks to stakeholders and implement corrective actions as needed.

• Continuous Improvement:

Drive continuous improvement initiatives to enhance delivery processes and methodologies. Gather feedback from project deliveries to inform product development and future implementations.

• Documentation:

Ensure comprehensive documentation of project deliverables, timelines, and client-specific details. Develop and maintain project documentation, including project plans, status reports, and client communication.

• Budget Management:

Manage project budgets, ensuring that projects are delivered within budgetary constraints. Provide regular budget updates to clients and stakeholders.

You are a desired candidate if you have:

• Proven experience as a Delivery Manager in HR Tech SAAS or similar technology-driven domains.
• Strong leadership and team management skills, with a focus on fostering collaboration and a positive team culture.
• In-depth understanding of HR processes and workflows.
• Excellent client management and communication skills.
• Solid project management skills with a track record of delivering complex projects on time and within budget.
• Knowledge of quality assurance processes and methodologies.
• Strong analytical and problem-solving abilities.
• Experience in risk management and mitigation strategies.
• Ability to thrive in a dynamic and fast-paced environment.

Selected intern's day-to-day responsibilities include:

1. Build and execute social media strategy through competitive research, platform determination, benchmarking, messaging, and audience identification

2. Generate, edit, publish and share daily content (original text, images, video, or HTML) that builds meaningful connections and encourages community members to take action

3. Set up and optimize company pages within each platform to increase the visibility of the company's social content

4. Moderate all user-generated content in line with the moderation policy for each community

5. Create editorial calendars and syndication schedules

6. Continuously improve by capturing and analyzing the appropriate social data/metrics, insights, and best practices, and then acting on the information

7. Collaborate with other departments (customer relations, sales, etc.) to manage reputation, identify key players, and coordinate actions

Who can apply:

1. Internship experience or knowledge on SMM

2. Immediate Joining

3. Should be available for 3 months.
4. Part time Internship

• Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
• Read and keep up with the research in Speech recognition, Machine Learning, Deep

• Understand and implement research papers to the business problem and build the

• Contribute to applied research and open source community
• Mentor and guide team members