Database Developer

Are you looking for embedded work where "it compiles" isn't good enough it has to survive 5,000+ km and 30+ days underwater without a single reboot? This is hardware and firmware built for zero-margin-for-error conditions. Read on, if you are interested...

Job Title: Lead - Embedded Engineering

Location: Bangalore | Full-Time | Experience: 8-10 Years

About Client Company

Client Company is building autonomous ships and submarines that operate in the world's most hostile environments. We're executing India's flagship autonomous submarine project — the Jalkapi XLAUV — on order from the Indian Navy. This is an unmanned submarine weighing over 20 tons that can travel 5,000+ kilometers autonomously and operate in the ocean for 30+ days at a time.

We're creating some of the largest autonomous robots in the world, machines with direct impact on the global economy and national security. While autonomous cars in India may still be a dream, autonomous ships and submarines are already a reality, and it is possible to build for the world from India.

The Role

·      We are looking for Lead - Embedded Engineering to own the electrical, electronics, power systems, and firmware that bring our autonomous vessels to life. In this role, you will:

·      Own the vessel’s electrical and embedded systems end-to-end — firmware, PCB design, schematics, wiring, and power electronics.

·      Design the electrical and power architecture of the platform, from board level to whole-vessel wiring.

·      Work closely with our mechanical, software, and robotics teams to integrate, bring up, and field-test the platform.

·      This is a rare opportunity to build the embedded and electrical backbone of real-world autonomous platforms that operate in some of the most challenging environments on the planet.

Key Responsibilities

·      Lead & Own the electrical and embedded systems effort — the firmware, electronics, and power systems that run the vessel.

·      Design & Develop PCBs, schematics, and wiring diagrams for the whole vessel, covering compute, power, communication, and sensor/actuator interfaces.

·      Design driving and power-electronics circuits — DC-DC converters, power supplies, electrical isolation, and protection — with due attention to EMI/EMC.

·      Develop & Maintain firmware for microcontrollers and onboard compute, ensuring reliable real-time operation.

·      Integrate sensors and actuators — such as GNSS, INS/AHRS, altimeters, pressure and depth sensors, acoustic modems, thrusters, fins, and battery systems — into the platform.

·      Support hardware bring-up, wiring, and in water testing of the vessel, in coordination with the mechanical and software teams.

·      Drive power management and energy-system design for long-endurance autonomous operation.

·      Plan and conduct compliance and qualification testing of the electronics and power systems — including EMI/EMC, environmental, and related checks — to ensure the platform meets the required standards.

·      Maintain thorough engineering documentation — schematics, wiring diagrams, design records, and test reports — to ensure traceability and supportability across the platform's life.

·      Establish robust electrical and embedded development, review, and testing practices to ensure dependability during trials and at sea.

·      Support field trials (pool, harbour, and sea) — diagnosing and resolving embedded, electrical, and hardware issues on site.

·      Mentor & Guide embedded engineers and uphold engineering best practices.

Required Qualifications

·      8-10 years of hands-on embedded systems experience spanning firmware, hardware, and power electronics.

·      Strong embedded firmware skills for microcontroller-based systems.

·      Strong hardware design skills — schematic capture, multi-layer PCB design, and board debugging.

·      Experience integrating sensors and actuators over interfaces such as UART, SPI, I2C, CAN, and RS-232/485.

·      A working understanding of how device drivers interface with the higher-level software/autonomy stack.

·      Strong debugging skills across hardware and firmware.

Preferred Experience

·      Background in robotics, marine/subsea systems, defense, automotive, or aerospace.

·      Experience with autonomous or unmanned systems.

·      Familiarity with power system design

Why Join Company

·      Build the Hardware That Brings Autonomy to Life: You will build the electrical, electronics, power systems, and firmware that run autonomous vessels across a range of applications — from our flagship Jalkapi XLAUV, a 20-ton submarine travelling 5,000+ kilometres underwater, on platforms operating from the coast to the deep sea. The challenge of building hardware that runs reliably for weeks, beneath the surface, is unlike anything else being built in India.

·      Mission Impact: The electronics and firmware you build are the nervous system of vessels on live missions — including defence and security operations of national importance. Every board you design and every line of firmware you write directly shapes whether the platform performs, and returns safely.

·      Technical Ownership: You will own the embedded and electrical stack from the ground up — hardware, power, firmware, integration, and bring-up.

·      Cross-Disciplinary Work: Work at the intersection of electronics, power, mechanical, software, and robotics. Few embedded roles let you work this close to the full system you help bring to life.

·      Benefits: Compensation benchmarked to top-quartile for the role, health insurance for you and your family and other benefits.

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

Person should have strong knowledge in -

1. Core Java,

2. JSP

3. Spring Framework,

4. Spring Boot,

5. SOAP and REST Webservices

6. Application Security.

Person should have 4 to 6 Years of work experience in Java and the above-mentioned related technology.

Person should have good Oracle Database knowledge and have good communication skills.

Having work experience in BFSI domain will added advantage

Person needs to work from Mumbai location and also available to join the office

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

**** Only Mumbai based candidates will be considered for interview. Immediate Joinee only *****

JForce Solutions is looking for developers who have excellent coding skills and who can start contributing right away.
There will be a bond of 2 years for this position based on your experience. The job location will be Vileparle west, Mumbai

Responsibilities and Duties

• Build and customize mobile applications used by over 100K users.
• Migrate existing applications from NativeScript to Native
• Enhance existing mobile application
• Improve performance & User experience of mobile app

Key Skills
Native Development, NativeScript, Java, JavaScript, React, ReactJS, Android, iOS, API

Expected Start Date: Immediate

Job Type: Full-time

Description

We are looking for a stellar Mobile App developer to help us build our next Android app for our IoT Devices/Application.

Responsibilities:

• Build our Android app for our IoT Devices/Applications
• Work with product owners to spec the requirements.
• Design, code, test and deliver various features in our product roadmap
• Fix customer issues as needed.
• Integration with Amazon Alexa, Google Home Kit and other third party platforms.

Requirements

Required Skills:

• 4+ yrs experience in building Mobile apps for Android for Phone and tablet using Java
• 2+ yrs experience in building Mobile apps for Android using Kotlin
• Strong UI development skills in terms of design
• 2+ yrs in building/consuming APIs
• Hands on knowledge of IoT
• Hands on knowledge of Unix/Linux.
• Knowledge of any of the Application servers like Apache/ NginX
• Good oral and written communication skills in English

Preferred Skills:

• 2+ yrs in building IoT/Embedded devices.
• 2+ years experience in HTML, JS, AJAX, and related browser side web technology
• 2+ yrs in Python, Php, Java, Node.js is desirable
• Strong networking knowledge.
• Experience with scrum development, Jira & Git