SAP BW Hana Consultant

About us:

Rekise Marine is a startup focused on sustainably enhancing the utility of the oceans through autonomous robotic infrastructure. Our mission is to develop advanced autonomous technologies for the maritime industry, serving both defense and commercial sectors globally. We specialize in creating autonomous vessels both surface and underwater as well as autonomous port infrastructure. Currently, we are building the flagship autonomous platform for the Indian Navy.

About the Role:

We are seeking a practical and detail-oriented Mechatronics Engineer with strong experience in CAD design, prototyping, and fabrication, along with working knowledge of electronics integration. The role is best suited for someone who enjoys building real systems—turning CAD models into working prototypes, selecting and integrating actuators and sensors, and ensuring that electromechanical assemblies can withstand the demanding conditions of the marine environment. You will work closely with both the mechanical and embedded systems teams to bring complex vessel subsystems from design to reality.

Key Responsibilities:

• Design and develop electromechanical subsystems and assemblies for unmanned surface and underwater vessels.
• Create CAD models and detailed fabrication drawings for precision parts and mechanisms.
• Oversee and participate in fabrication, assembly, and integration of prototypes.
• Collaborate with electronics engineers to integrate sensors, actuators, propulsion units, and power systems into mechanical designs.
• Ensure proper sealing, compartmentalization, and robustness of assemblies for long-term marine operation.
• Participate actively in testing and validation, troubleshooting mechanical-electrical assemblies as required.
• Maintain documentation for design iterations, fabrication methods, and integration processes.

Requirements:

• 3–4 years of experience in mechatronics, robotics, or mechanical design with electronics integration.
• Strong CAD skills (NX Preferred) and experience creating manufacturing-ready designs.
• Hands-on experience with fabrication methods: machining, sheet metal, 3D printing, and assembly.
• Exposure to integrating motors, actuators, sensors and power electronics into mechanical systems.
• Ability to interpret electrical drawings and collaborate on PCB + harness integration.
• Familiar with prototyping, testing, and refining systems under real-world conditions.

Good to Have:

• Experience with marine or underwater robotics.
• Familiarity with rapid prototyping tools and workshop practices.
• Understanding of tolerance stack-up, precision fits, and reliability in field deployment.

Why You’ll Love Working With Us:

• A chance to be part of a pioneering marine robotics startup in India.
• Competitive salary and growth opportunities.
• Flexible, innovative work environment promoting collaboration across disciplines.
• A role where your contributions make a real difference and drive impact.
• Opportunities for field testing and interaction with defense and commercial customers.

We are seeking a highly skilled Staff / Senior Staff Full Stack Engineer (Architect) to join our product engineering team. This is a hands-on, high-impact technical leadership role requiring deep expertise across frontend (React), backend (Node.js), cloud infrastructure, and databases.

You will work closely with Engineering, Product, UX, and cross-functional stakeholders to design and deliver scalable, secure, and high-performance systems, while driving engineering best practices and mentoring senior engineers.

Key Responsibilities:

Architecture & Technical Ownership

• Architect and design complex, scalable full-stack systems across multiple services and teams
• Translate business and product requirements into robust technical solutions
• Drive system design, scalability, performance, and security decisions

Hands-On Development

• Write clean, maintainable, production-grade code in:
• React + TypeScript (frontend)
• Node.js + TypeScript (backend)
• Build and maintain REST & GraphQL APIs
• Develop reusable frontend and backend components

Scalability, Performance & Security

• Optimize applications for speed, scalability, reliability, and cost
• Implement security best practices, authentication/authorization, and data protection
• Ensure compliance with security and regulatory standards (OWASP, GDPR, CCPA, etc.)

Collaboration & Leadership

• Partner closely with Product, UX, QA, DevOps, and Marketing
• Lead architecture discussions, design reviews, and code reviews
• Mentor senior engineers and lead by influence (not hierarchy)
• Promote engineering excellence through TDD, CI/CD, observability, and automation

Documentation & Communication

• Clearly document architecture, system flows, and design decisions
• Communicate complex technical concepts to non-technical stakeholders
• Contribute to long-term technology strategy and roadmap

Required Experience & Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related field
• 10+ years of overall software engineering experience
• 7+ years of hands-on full-stack development experience
• Proven delivery of large-scale, complex systems

Core Technical Skills

Frontend

• Expert in React (architecture, performance, state management)
• Strong TypeScript
• Deep knowledge of HTML5, CSS3, responsive & adaptive design
• Experience with Redux / Context API, CSS-in-JS or Tailwind
• Familiarity with build tools: Webpack, Babel, npm/yarn
• Frontend testing: Jest, Vitest, Cypress, Storybook

Backend

• Strong hands-on experience with Node.js
• Frameworks: Express, NestJS, Koa
• API design: REST & GraphQL
• Serverless experience (AWS Lambda / Cloud Functions)

Databases & Caching

• SQL: PostgreSQL / MySQL
• NoSQL: MongoDB, Redis
• Database schema design, indexing, and performance tuning
• Caching & search: Redis, Elasticsearch

Cloud, Infra & DevOps

• Strong experience with AWS / GCP / Azure
• Containers: Docker, Kubernetes
• CI/CD: GitHub Actions, GitLab CI, Jenkins
• CDN, infrastructure scaling, and observability
• Git expertise (GitHub / GitLab / Bitbucket)

Security & Systems

• Web security best practices (OWASP)
• Authentication & authorization (OAuth, JWT)
• Experience with high-availability, fault-tolerant systems

Leadership & Ways of Working

• Strong track record of technical leadership and delivery
• Experience mentoring senior and staff-level engineers
• Ability to conduct high-quality code and design reviews
• Comfortable working in Agile (Scrum/Kanban) environments
• Excellent verbal and written communication
• Strong analytical and problem-solving skills
• Ability to learn and adapt quickly to new technologies

Perks & Benefits

• Day off on the 3rd Friday of every month (monthly long weekend)
• Monthly Wellness Reimbursement Program
• Monthly Office Commutation Reimbursement
• Paid paternity & maternity leave

Company: IDFC First Bank

About the company:

IDFC Limited was set up in 1997 to finance infrastructure projects in India. With time, the company diversified into asset management, institutional broking and investment banking. In 2014, the Reserve Bank of India granted in-principal approval to IDFC Limited to set up a new bank in the private sector.

Role Overview:

QA Overview: A Quality Analyst with a focus on Automation and Manual Testing is responsible for ensuring the quality of software products across web, mobile, and API platforms. This role involves designing, implementing, and executing test plans, both manually and through automated testing tools, to identify and address defects. The Quality Analyst will also be proficient in database testing, ensuring the integrity and reliability of data interactions within the system.

Job Description

Job Title: QA tester

Location: Chennai

Compensation: Commensurate with Experience

Experience: 5-10 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

• Proven experience in both manual and automated testing. 
• Strong proficiency in automation tools (e.g., Selenium, Appium) and scripting languages. 
• Experience with web, mobile, API, and database testing.
• Familiarity with agile development methodologies.
• Excellent analytical and problem-solving skills. 
• Key Competencies: - Automation scripting (e.g., Java, Python, JavaScript), SQL and database querying skills - Attention to detail - Collaboration and communication - Analytical thinking

Key Responsibilities: 

1. Test Planning and Design: Develop comprehensive test plans based on project specifications. Design and document test cases for web, mobile, API, and database testing. Collaborate with development teams to understand system requirements. 
2. Automation Testing:  Develop and maintain automated test scripts using industry-standard tools (e.g., Selenium, Appium). - Execute automated test suites and Analyse results. - Identify opportunities for test automation and implement efficient testing strategies. 
3. Manual Testing: Execute manual test cases for functional, regression, and performance testing. - Document and report defects, providing detailed information for developers. - Conduct exploratory testing to identify unforeseen issues. 
4. Web, Mobile, and API Testing: Perform end-to-end testing of web and mobile applications. - Validate API functionality and integration points. - Ensure compatibility across different browsers and mobile devices. 
5. Continuous Integration: Design, implement and maintain CI pipelines for automated testing and deployment - Integrate automated tests into CI workflows to enable early detection of defects - Continuously assess and optimize CI processes for speed, efficiency and reliability
6. Database Testing: Develop and execute SQL queries to validate data integrity. - Verify data transformations and migrations. - Identify and address performance issues related to database interactions. 
7. Collaboration: Work closely with developers, product managers, and other stakeholders to understand requirements and user stories. - Participate in agile ceremonies, providing input on quality-related aspects. 
8. Test Documentation: Maintain detailed and organized documentation of test cases, results, and issues. - Create and update testing documentation as the application evolves. 

Job Description:

The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible. 

Our ideal candidate

The role would be a client facing one, hence good communication skills are a must. 

The candidate should have the ability to communicate complex models and analysis in a clear and precise manner. 

The candidate would be responsible for:

• Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
• Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
• Understanding the math behind algorithms and choosing one over another
• Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy

Desired technical requirements

• Proficiency with Python and the ability to write production-ready codes. 
• Experience in pyspark, machine learning and deep learning
• Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
• Familiarity with SQL or other databases.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Position: IOS Developer
 

This is a technolog yagnostic position and you would be viewed as a technolog enthusiast who can work (not code) on architecture and designing of any application immaterial of the technology used.

Your experience as a programmer of a technical lead will benefit a lot. 

If you believe in “ First, solve the problem. Then, write the code. ”, we are looking for you. 

• Atleast 8 years of experience working either in Java/JEE, Python or Ruby on Rails.
• Ability to manage a team and handle clients.
• Very good at Analysis and Design.
• Passion to write good quality code.
• Able to work in a fast paced environment.
• Able to manage multiple tasks with changing priorities in a cross-functional environment
• Team player
• Ability to balance competing priorities.
• Excellent communication skills.

BoTree Technologies was incorporated in 2012 and since then we have constantly worked towards building a place to work which provides each member an opportunity to challenge herself and grow on a day to day basis.

• Write and post technical job descriptions
• Source potential candidates on niche platforms
• Parse specialized skills and qualifications to screen resumes
• Proven work experience as a Technical Recruiter
• Hands-on experience with various interview formats (e.g. phone, Skype and structured)
• Technical expertise with an ability to understand and explain job requirements for IT roles
• Familiarity with Applicant Tracking Systems and resume databases
• Solid knowledge of sourcing techniques (e.g. social media recruiting and Boolean search)
• Excellent verbal and written communication skills
• Solid understanding of HR practices and labor legislation
•