Business Development

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles

.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Minimum Qualifications/Experience:

1. B. Pharma, B.Sc./M.Sc. (Chemistry/Microbiology)

2. 8+ Years of experience in QA process in Pharmaceutical / food processing / cosmetics / chemical industries.

Your Job Responsibilities:  

C1. Principal thrust area:

You shall be responsible for maintaining and improving all QMS activity, GMP and GLP across the company.

Key Deliverables:

1. Ensure manufacturing practices as per cGMP and GLP standards.

2. Handling QMS activities like change control, validations, stability, qualifications, APQR and Risk assessment etc.

3. Applications for AHC to AQCS, EIA and Capexil and coordinate related activities. (AHV/SPD: This is exclusive knowledge related to Capsule and companies manufacturing animal origin products. We have mentioned this as the candidate on joining will be responsible for this work though he/she may not be having exposure to same.)

4. Organize internal and external audits for ISO, GMP+, FDA, Capexil, GMP+, EIA and others. Maintain the documents required for those audits.

5. Organize internal and external audits for ISO, GMP+, FDA, Capexil, GMP+, EIA and others. Maintain the documents required for those audits.6. Evaluation and approval of Suppliers for RM, PM, testing labs and service providers.

7. Assisting HOD in customer complaint analysis and preparation of customer complaint report.

8. Investigation of incidents, deviations, OOS and ensure corrective actions in place.

9. Reviewing the daily availability of operators and allocating work to them.

10. Maintaining and review BMR documents, guide for relevant changes if required.

11. Label artwork review and management.

Competencies: 

D1. Technical Competencies:

a) Analytical skills (spotting trends and patterns)

b) Report writing skills

c) Problem solving abilities

d) GMP and GDP knowledge

e) Good English communication skills (verbal & written).

Behavioural Competencies:

a) Quality and Service Orientation

b) Delivering consistent results

c) Ability to prioritize, organize, manage work and time.

d) Customer Centric

e) Cross Functional Team Working

Reporting & Responsibility:

Position Reports to: Plant Head (M03)

Reportees to this position: Assistant Officer QA – M12 (2 nos)

Your Job Location:

1. Tarapur MIDC. Tarapur MIDC, Boisar, Dist. Palghar, Maharashtra. 

 Preference will be given to candidates in Tarapur/Boisar area or willing to relocate.

2. For outstation bachelors, Company provides a subsidized bachelor’s flat. For outstation families, Company provides subsidized accommodation in company owned buildings. Relocation allowance is offered.

3.Tarapur- Railway station Boisar takes 1.5 hrs. by train from Borivali Station or by road via Western Express Highway.   

4. Suburban local trains direct from Churchgate to Boisar Railway station available.

What’s in it for You:

1. Opportunity to be part of a growing organization offering niche products to Pharma industry.

2. Opportunity to work at Head Office location.

3. Intimate small company culture with MNC professionalism.

4. Company value programs TrANSSCEnD.

5. Employee events like festival celebrations, family fun events etc.

6. Five days working (alternate weeks).

7. Medical Insurance for your immediate family.

8. Housing accommodation for Bachelors & family.

About Us:

We are a cutting-edge startup reshaping the construction management landscape with AI-driven solutions that simplify complex processes and maximise efficiency. Our platform leverages the latest web and mobile technologies to solve real-world challenges for the construction industry, blending innovation with usability. If you're passionate about building scalable systems and love solving problems, we want you on board!

Who You Are:

A tech enthusiast with a knack for both front-end finesse and back-end brilliance. You’re eager to dive into code and bring ideas to life. You think in Angular components, dream in Node.js APIs, and are equally comfortable navigating MongoDB queries as you are crafting mobile interfaces with React Native or Flutter. You thrive in a fast-paced startup environment and have a passion for building things from scratch, continuously optimising for performance, and ensuring scalability.

What You’ll Do:

• Full-stack Magic: Craft seamless, intuitive UIs with Angular and powerful, RESTful backend services using Node.js and MongoDB.
• End-to-End Development: Own features from brainstorming to deployment—handling everything from database architecture to front-end performance.
• Optimise and Scale: Ensure that our platform is high-performing, scalable, and future-proof. You’ll be part of laying the groundwork for big, exciting growth.
• Collaborate & Conquer: Work closely with our design, product, and AI teams to integrate machine learning and automation features into our platform, pushing the boundaries of what tech can do in construction.

Tech Stack:

• Frontend: Angular for web
• Backend: Node.js, Express, NestJS
• Database: MongoDB
• Cloud & DevOps: AWS, Docker, CI/CD pipelines

What You Bring:

• Angular wizardry—you know your way around components, services, and everything in between.
• Node.js expertise—you can build robust, scalable APIs and thrive in an asynchronous environment.
• React Native/Flutter mobile skills—a passion for crafting intuitive mobile experiences. (Good to have, but not mandatory)
• MongoDB knowledge—you understand database design, indexing, and aggregation pipelines.
• Code Quality Focus—whether it's writing tests or reviewing pull requests, you're all about clean, maintainable code.
• Experience with Git, CI/CD, and working in an agile, fast-paced team.

Bonus Points For:

• Experience in AI/ML integrations or a curiosity about machine learning’s potential in web and mobile apps.
• Familiarity with GraphQL and modern state management libraries.
• Experience with Microservices

Why Work With Us:

• Impact: Be part of a mission-driven startup solving real-world problems in a trillion-dollar industry.
• Innovation: Collaborate with a forward-thinking team to build AI-powered, scalable tools from the ground up.
• Growth: We’re a fast-growing startup, so your career can skyrocket here. Bring your ideas, and we’ll give you the space to make them happen.
• Culture: A collaborative, tech-driven, and fun work environment that values creativity, ownership, and growth.

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products.

No of position – 2

Duration – 1 year contractual position (candidate will be on Hiring Panda Payroll)

Experience Range – 4 to 5 years

Notice Period – Immediate, candidate should join within 7 days

Location – Kandivali, Mumbai (Only local candidates of Mumbai is acceptable)

Work Mode- Work from Office

Primary responsibilities:

Software Development:

• Develop and maintain high-performance applications using C++ and CUDA.

• Design and implement parallel algorithms for GPUs to accelerate computational

workloads.

Performance Optimization:

• Optimize CUDA kernels for performance, scalability, and memory efficiency.

• Analyze performance bottlenecks and propose innovative solutions.

Code Review and Testing:

• Conduct code reviews to ensure adherence to coding standards and best practices.

• Develop and execute test cases to validate functionality and performance.

Collaboration:

• Work closely with the software engineering and research teams to understand

requirements and deliver robust solutions.

• Provide technical guidance and mentoring to junior team members when necessary.

Documentation:

• Write and maintain technical documentation, including design specifications and user

manuals.

Required Skills:

• C++: Strong proficiency in modern C++ (C++11/14/17/20).

• CUDA Programming: Extensive experience in developing, debugging, and optimizing

CUDA applications.

• GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and

warp-level operations in CUDA.

• Parallel Computing: Solid understanding of parallel algorithms and multi-threaded

programming.

• Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and

numerical methods.

• Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.

Job Description:

We are seeking a skilled Shopify App Developer with experience in React/Remix and a strong foundation in HTML, CSS, JavaScript, and jQuery. The ideal candidate will be responsible for building and maintaining custom Shopify applications, enhancing user interfaces, and ensuring seamless e-commerce experiences for our clients. This role requires a strong understanding of Shopify’s ecosystem, combined with frontend development skills to deliver high-quality, scalable solutions.

Key Responsibilities:

• React Develop, test, and maintain custom Shopify apps to enhance store functionality.
• Collaborate with the design and product teams to implement responsive and user-friendly UI/UX features.
• Utilize React and Remix frameworks to build dynamic, interactive web applications.
• Write clean, modular, and scalable code using HTML, CSS, JavaScript, and jQuery.
• Integrate third-party APIs and manage data securely within Shopify.
• Optimize applications for speed and scalability across various devices and browsers.
• Stay updated on Shopify platform updates, best practices, and industry trends.
• Develop, test, and maintain custom Shopify apps to enhance store functionality.
• Collaborate with the design and product teams to implement responsive and user-friendly UI/UX features.
• Utilize React and Remix frameworks to build dynamic, interactive web applications.
• Write clean, modular, and scalable code using HTML, CSS, JavaScript, and jQuery.
• Integrate third-party APIs and manage data securely within Shopify.
• Optimize applications for speed and scalability across various devices and browsers.
• Stay updated on Shopify platform updates, best practices, and industry trends.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Technical Knowledge/Skills · · · · · · · · Experience with Publish/Subscribe messaging paradigms, distributed transaction processing based on JTA/JTS Specifically experience with JBoss, JMS, Spring, Hibernate Strong UNIX skills in particular Linux Strong relational database skills - Sybase , MS SQL Server, MySQL Knowledge of source control such as Git, Subversion Experience of using a build automation tool such as Maven Experience of using Junit, jMock, Cucumber Experience in defining and implementing web services (REST paradigm) and data services (e.g. OData) · · · · · · Experience with Camel, Mule, Spring Integration, Fuse ESB or similar Experience of working with XML based technologies such as XSLT, JAXB Experience in implementing vendor proprietary realtime connectors using JCA Experience of Atlassian ALM/SDLC tools (JIRA, Bamboo, FishEye, Crucible, Confluence) or Hudson Experience with containerization tool such as Docker and containerorchestration system such as Kubernetes or OpenShift Experience with NoSQL such as MongoDB

Qualifications

· Strong educational background with BS/MS in computer science or other numerate discipline or equivalent

Key behaviours/competencies

· · · · Excellent communication skills and the confidence to challenge Strong problem solving skills - able to think clearly under pressure Analytical skills Organisation & planning · Self-motivated with a keen interest in gaining investment banking experience

· Team working skills

· Ability to constructively influence other departments and individua