
Role Purpose:
As a presales manager, you will work closely across various verticals such as product development, engineering, sales and marketing, and project teams/customer relations to understand internal product and service capabilities. Build marketing and sales collaterals showcasing the company’s offerings and capabilities
Role will also include understanding the customer’s needs and building suitable solutions, working closely with engineering, delivery, and sales teams. You will also be required to actively understand customer preferences and predict future needs for product development.
Key Responsibilities:
- Engagement with the customers and understanding of their needs and putting together solutions (products and services) that are aligned with the customers’ demands.
- Responsible for supporting the business development team in putting together compelling proposals in response to RFPs.
- Responsible for bringing in industry/vertical specific expertise into building the solution and validating technical solutions from the service delivery team.
- Coordinating with 3rd party service providers and integrating their solution components into the overall proposals.
- Plan sales strategies in response to market and competitors’
actions.
- Work in sync with the product development team and develop
sustainable and commercially viable products.
- Understand customer needs and make sales presentations.
- Liaise with the marketing team to undertake demand-generating
activities such as trade shows, exhibitions or customer workshops.
- Prepare sales proposals and train sales representatives/executives
from time to time.
- Preparation of presentations about the products or services with their value proposition articulated for the usage of the sales team.
- Creation of marketing concepts and responding to customers’ RFPs and RFI’s for our local and global sales teams.
- Use domain expertise to articulate customer requirements appropriately to product and development teams
- Prepare and deliver solution-based product presentations and
demonstrations to customers.
- Execute on customer proof of concepts (POCs).
- Strong interpersonal skills, including the ability to present to an audience from C-Level to End User, clearly articulate the value Profile products will bring to an organization, gain trusted advisor respect, and help influence, make well-executed systems presentations and clearly articulate the product’s value.
1. A Proven Track Record in Pre-sales/ Consultative Sales.
2. Domain expertise in IoT, Industrial Automation, Digital Factory and smart manufacturing solutions in the industry verticals of Manufacturing, Aerospace/Defence, Medical, and Energy.
3. Excellent communication skills, both verbal and written
4. Experience in integrating solution components into cohesive proposals that meet customer requirements and company’s business objectives.

About Petrus Technologies
About
As an engineering R&D services company, we at Petrus, aim to bring to the world the wings to fly with innovative technologies while we are rooted in strong and time-tested delivery principles bringing the fastest time to market, quicker return on investment and incredible rate of success.
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Responsibilities
· Understand requirements and translate them to product features.
· Participate in Scrum meetings and express the work done and the plan clearly. Participate in scrum ceremonies and clearly communicate.
- Develop applications using Front end, middleware, and database-related technologies.
- Should be hands-on in developing and implementing best practices and writing smart pieces of code.
- Coding standards should be followed, and the code should be highly performant.
- Should be able to write unit test cases using any of the frameworks and should be completely automated.
- Should have strong exposure to REST API design and principles and adhere to RAML/Swagger or Open API specification
- Should be able to do impact analysis and document the design of the components.
- Should be able to develop reusable components using proper design patterns as listed by lead/architect so that it is extensible.
The Role offers
· An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations.
· An end-to-end project exposure across multiple technical stacks and cloud platform
· An individual who has a passion for learning and adapts to new technologies quickly and scales to the next level easily.
- High visibility, the opportunity to interact with multiple groups within the organization, technology vendors, and implementation partners.
Essential Skills
· 4+ years of in-depth knowledge in Core Java, Spring DI, Spring MVC, REST, JMS, Hibernate, JDBC, PL/SQL
· 1+ years of experience in Spring boot, Angular 8 or above
· 2+ years of experience in RESTful HTTP services design
· 2+ years of experience in Javascript, JQuery, Bootstrap, HTML 5, CSS3
· 2+ years of experience with SQL Server, Postgre SQL writing stored procedures, performance tuning, and identifying deadlocks, transactions, and data locking/blocking scenarios
· Working knowledge of Webpack, CLI, and Agile Scrum framework
· Good communication and unit testing knowledge.
· Good to have knowledge in one of the cloud platforms like AWS/Azure/PCF
· Work experience in frameworks like JPA, Spring Core, Spring AOP, and Spring Data
· Familiar with Continuous Integration methodologies and tools, including Jenkins
· Good to have: Exposure to Microservices, Docker, Kubernetes, and cloud deployment
Essential Qualification
· MCA/equivalent master’s in computers is a must.


Job Description: Principal Engineer (Full Stack Architect)
Job Title: Full Stack Architect
Location: Hyderabad, India
Experience: 15Years to 20 years (4+ years in Enterprise Architecture)
Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.
Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning
Job Summary
As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.
This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.
Roles and Responsibilities
Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.
Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.
Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.
Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.
Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.
Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.
Mentorship: Mentor junior engineers and foster a collaborative team environment.
Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.
Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.
Mandatory Requirements
Experience: 12+ years of full-stack development experience, with significant expertise
in building and architecting applications using the MERN stack (MongoDB, Express.js,
React, Node.js).
Distributed Systems: Proven track record of architecting and implementing large-scale
distributed systems with a focus on reliability, scalability, and performance.
Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),
with a deep understanding of cloud services such as compute, storage, networking, and
security.
Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like
Neo4j. Experience with vector databases for high-dimensional data processing.
Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs
for solving complex data relationships.
Data Structures & Algorithms: Strong knowledge of DSA with practical experience in
solving complex technical challenges.
Microservices Architecture: Experience in designing and developing microservices-based
architectures and ensuring high availability.
DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).
Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.
Nice-to-Have Requirements
Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).
Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.
Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).
AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.
Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.
System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.
Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).
Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.

Position Overview:
As a Frontend Developer, you will be responsible for creating and implementing innovative user interfaces and ensuring the seamless integration of design and functionality. The ideal candidate should have a minimum of 1.5 years of experience in front-end development, with a strong proficiency in React, JavaScript, SCSS, HTML, frontend architecture design, and design concepts
Responsibilities:
Collaborate with the design and development teams to translate UI/UX designs into interactive web pages or applications.
Develop responsive web interfaces and ensure cross-browser compatibility.
Write clean, modular, and maintainable code using best practices and coding standards.
Optimize application performance and ensure scalability.
Conduct thorough testing and debugging to identify and fix issues.
Collaborate with backend developers to integrate frontend interfaces with server-side logic.
Stay up-to-date with the latest front-end technologies, trends, and frameworks.
Participate in code reviews and provide constructive feedback to improve code quality.
Work closely with stakeholders to understand requirements and propose effective technical solutions
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum 1.5 years of experience as a Frontend Developer.
Strong proficiency in React, JavaScript, CSS, and HTML.
Solid understanding of frontend architecture design patterns and concepts.
Experience with frontend frameworks like Redux, Vue.js, or Angular is a plus.
Familiarity with RESTful APIs and asynchronous request handling.
Knowledge of version control systems (e. g., Git) and project management tools (e. g., Jira).
Ability to collaborate effectively with cross-functional teams.
Strong problem-solving skills and attention to detail.
Excellent communication and interpersonal skills.
write high quality reusable c# code in unity
create required plugins and modules from scratch
creating high quality VR training interactions based on story board


Roles, Responsibilities and Experience:
- Cross-platform mobile app developer who has developed mobile applications and has strong experience with Ionic and Angular 7+.
- Experienced in the development and management of mobile applications, particularly hybrids (Android / iOS)
- Comprehensive experience in mobile application architecture planning
- Well qualified in mobile application design and optimization. The ideal candidate will be able to provide solutions to improve mobile app quality, understand emerging technologies, implement standards and best practices thereby able to enhance the existing stage of development and bring the mobile application, from a product standpoint, 'to the next level'
- Continuously discover, evaluate and implement new technologies as well as frameworks so as to maximize ongoing development efficiencies
- Accurately estimate development timelines and deliver per set schedule
- Solid knowledge of mobile app development practices, along with mobile testing tools and techniques
- Expertise in optimizing the mobile apps' performance
- Experienced in using Agile principles and methodologies
- A deep understanding of the mobile landscape and user behavior patterns is mandatory
Required Skills:
- Experience using web services (HTTP, REST, SOAP) using JSON.
- Knowledge of NodeJS and MongoDB will be an added advantage.
- Good knowledge of object-oriented design patterns and Multi-threading concepts
- Good knowledge of the SQLite database and the Google Play Services like Push Notifications
- Strong mobile UI design (multi-screen resolutions), coding, support and maintenance
- Knowledge of HTML5, JavaScript, and the third-party API (like Facebook, Twitter, etc.) will be added advantage
- Experience with third-party libraries and APIs
- Proficient iOS and Android mobile app experience are a plus




culture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.
1. Strong fundamentals OOPS concepts, Exception Handling, Coding Standards, Logging
2. Creating custom, general use modules and components which extend the elements and modules of core Angular.
3. Creating configuration, build, and test scripts for Continuous Integration environments
4. Communicating with external web services and processing data
5. Experience with offline storage threading and performance tuning
6. Review code and maintain the code quality and suggest best practices
7. Knowledge and experience on data science and programming languages
8. Demonstrable abilities to optimize code. Strong analytical skills for effective problem solving





