11+ SMP Jobs in India

Role: Account Executive / Sales Executive (B2B SaaS)

Exp: 7-12 Years

CTC: up to 20 LPA

Location: Gurugram

Desired Skills and Experience:

● 7+ years of sales experience, with a track record of exceeding quotas.

● 3+ years of experience (recent) in B2B SaaS sales.

● Proven expertise in selling tech tools, integrations, and workflow automation solutions to enterprise customers.

● Excellent negotiation, communication, and interpersonal skills.

● Data-driven mindset with strong analytical and problem-solving skills.

● Ability to thrive in a fast-paced, results-oriented environment.

Mandatory Criteria (Can't be neglected during screening) :

• Total Experience: Minimum 7 years, with recent experience in SaaS sales, with a track record of exceeding quotas.
• SaaS Technology Sales Experience: At least 3 years of experience (recent) in a tech-driven B2B SaaS sales role.
• Candidate should have Proven expertise in selling tech tools, integrations, and workflow automation solutions to enterprise customers.
• Educational Qualification: B.Tech (CS/IT) preferred, or B.Tech (any stream) + MBA.
• Startup Experience: Preferred but not mandatory.

Fill Form : https://forms.gle/wTNfwmUfPyB4HuSx8

MemoNeet, a leading Edtech Startup with over 900K+ downloads for NEET exam preparation about to reach Million Users, is on a mission to empower students through innovative technology. We are seeking a skilled and dedicated full-time Accountant with expertise in accountanting with high aptitude also who will understand our business model..

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.

From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

No Of Positions: 1

Skills required: 

• The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
• Strong problem-solving skills with an emphasis on achieving proof-of-concept
• Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
• Knowledge of machine learning and deep learning fundamentals
• Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
• Experience writing and debugging code in an IDE
• Experience using managed web services (e.g., AWS, GCP, etc.)
• Strong analytical and communication skills
• Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
• Ability to learn new tools from documentation and internet resources.

Roles and responsibilities :

• You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
• Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
• Identify relevant data sources for data wrangling and EDA
• Identify model architectures to use for client business needs.
• Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
• Present findings to teammates and key stakeholders in a clear and repeatable manner.

Experience :

2 - 14 Yrs

• Design and implementation of low-latency, high-availability, and performant applications
• Developing new features & refining existing features on server-side
• Implementation of security and data protection
• Integration of data storage solutions

• Proficient in NodeJS and experience working on frameworks such as Express, StrongLoop, etc.
• 2+ years experience working on consumer mobile products / businesses at scale.
• Proficient in asynchronous programming and its quirks and workarounds
• Experience working on User Authentication and Authorisation between multiple systems, servers, and environments
• Experience working on NoSQL DBs such as MongoDB
• Experience working on Unit Testing & Functional Testing frameworks for NodeJS

• become a part of our early team, and shape products from grounds up
• Attractive Compensation & Stock Options
• empowered to build an amazing startup culture with us
• full ownership and massive growth opportunities
• and more...

Job Description

We're a fast growing fintech startup based in Pune. In June 2019, we launched, an app to check and monitor credit scores. It is the only app in India that helps consumers improve their credit score via an AI-based score planner.

WE are on a mission to re-imagine credit and payments from first principles and is building a mobile-first credit card in India.

• Roles & Responsibilities:-

Strong proficiency in JavaScript.

Thorough understanding of React.js and its core principles.

Experience with popular React.js workflows (such as Flux or Redux)

Familiarity with newer specifications of Ecma Script.

Familiarity with RESTful APIs.

Knowledge of modern authorization mechanisms, such as JSON Web Token.

Familiarity with modern front-end build pipelines and tools.

Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

Ability to understand business requirements and translate them into technical requirements.

A knack for benchmarking and optimization.

• Should have strong experience in working Configuration Management area, with tools preferably, TFSVC, TFS vNext OR GIT, SVN, Jenkins
• Strong working experience in tools related to Application Lifecycle Management, like Microsoft TFS
• Should have hands-on working experience in CICD (Continuous Integration Continuous Deployment) practices
• Strong be expertise in handling software builds & release mgmt. activities in Dotnet based environment / Java environment
• Strong skills in Perl or PowerShell or in any other scripting/automation/programming language
• Should have exposure to various build environments like dotNet, Java
• Should have experience with writing build scripts, automation of daily/nightly builds & deployment
• Good knowledge in Merging /Branching concepts.
• Good understanding of product life cycle management"
• Shall be very good technically; possess systems mindset and good problem-solving abilities
• Working with multisite teams, Quality conscious and Process & customer Oriented
• Self-starter and quick learner and ability to work with minimal supervision
• Can play a key role in the team
• Strong team player with a “can-do” attitude
• Ability to handle conflicts
• Ability to stay focused on the target in an ambiguous situation
• Good communication and documentation skills"