SRE Engineer – GCP | Shell | Python | Kubernetes | DevOps

Founding Full-Stack Engineer

Consumer AI | Delhi (Hybrid) | Building for the US Market

The Opportunity

We are a pre-seed startup redefining fashion discovery. We believe the future of e-commerce isn't about search bars and endless scrolling; it’s about context-aware curation.

We are looking for a Founding Full-Stack Engineer who sits at the intersection of Systems and Design. You will be the technical anchor of the team, turning chaotic web data into a fluid, consumer-grade experience.

The Role

You won't just be writing code; you will define the product's architecture. We need Vertical Ownership—the ability to take a feature from a raw database row all the way to a pixel-perfect interaction on the screen.

• The Data Engine (Backend & Scraping): You will build robust data pipelines that scrape and frequently refresh data from top fashion retailers. You will further structure and enrich this data, add additional attributes and prepare it for downstream consumption. Added bonus: prior experience with feature engineering
• The Experience (Frontend): You will craft the user interface. We are building a consumer brand, so "functional" isn't enough—it needs to feel "alive.”. If you have a refined design sense, and prior exposure to building eComm websites with complex landing and category pages, then you are the right fit for this role. 
• The Intelligence (AI Integration): You should be able to understand and re-run existing research algorithms on Fill-In-The-Blank (FITB) tasks.

The Toolkit

• Core Stack: Python for the heavy lifting; JavaScript/TypeScript (React) for the web interface.
• Data Ops: Experience building complex scrapers, handling proxies, and managing data pipelines is non-negotiable.
• Design Engineering: A strong grasp of building advanced eCommerce components (multi-tile grid layouts, drag-and-drop elements, etc.)
• Low-code tools: Adept at rapidly prototyping with Replit, Lovable, etc.

The DNA We Are Looking For

• You are a Builder, not just a Coder. You prefer shipping a live prototype over debating a PR for three days.
• You have Taste. You understand that building for the US consumer market requires a level of polish and minimalism that standard B2B SaaS ignores.
• You are "T-Shaped." You have deep expertise in one area (either scraping or frontend), but you are dangerous enough across the entire stack to build solo.
• You embrace the Chaos. You know how to build structure out of messy unstructured data.

Why Join Now?

• 0 to 1 Ownership: No legacy code, no technical debt. Just you, the founders, and a blank editor.
• Global Impact: You are building from India, but for the most competitive consumer market in the world (USA). The standards are higher, and so is the reward.
• Founding Team Status: Competitive pay with a future path to equity

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Digital Marketing Expert - B2B ABM & Performance

About ProductNova:

ProductNova is a fast-growing product development startup. We are a team of Product and Business Growth Experts enabling organizations in building new Product Portfolios, Transform into Product organizations, Identify business opportunities, Innovate and Scale Businesses.

For early-stage organizations and startups, we shape ideas into products, identify the right customer base and product market fit, define the product, provide marketing and sales enablement, plan the GTM, launch, iterate and scale.

For established organizations, we Transform them into product organizations, identify business & product areas to scale and help revamp the products across new regions and customer segments. We enable innovation, build new product portfolios and help grow the businesses Exponentially.

We are also building our own B2B SaaS Products

The Role:

As a Digital Marketing Expert at ProductNova, you will play a pivotal role in shaping and executing comprehensive digital marketing strategies to drive product and business growth. You will be responsible for driving marketing campaigns across channels and growing our business.

Key Responsibilities:

B2B SaaS Marketing Expertise: Lead generation, SEO, PPC, CRM tools, ABM, and data-driven campaigns. Excellence in aligning sales strategies, customer journey mapping, and delivering measurable growth through innovative marketing.

ABM And Performance Marketing: Identify, source and nurture high-value accounts, crafting personalized campaigns, optimizing paid channels, and measuring ROI across digital touchpoints. Align marketing with sales to accelerate pipeline and deliver scalable, impactful campaigns that balance brand visibility with revenue-focused outcomes.

Lead Generation: Build and optimize B2B and B2C Lead gen pipeline for ProductNova and its clients for their respective products and services across channels.

Digital Marketing Strategy: Formulate and execute robust digital marketing strategies aligned with ProductNova, our partner objectives and overall business goals. Tweak and optimize existing strategies to grow revenue 2X.

Campaign Management: Oversee the end-to-end management of digital marketing campaigns, ensuring seamless execution and optimization for maximum ROI. Utilize data-driven insights to continuously refine and enhance campaign performance.

Channel Expertise: Demonstrate expertise across various digital marketing channels, including but not limited to Meta, Google, SEO, SEM, social media, Email marketing, and Content marketing. Identify new and emerging channels to explore and incorporate into the overall marketing mix.

Analytics and Reporting: Implement robust analytics frameworks to measure and analyze the performance of digital marketing campaigns.

Qualifications:

• Any professional degree/MBA in Digital marketing.
• Min 2 yrs+ experience in B2B Digital marketing with a focus on product and business growth.
• Strong leadership skills with the ability to motivate a high-performing team.
• In-depth knowledge of digital marketing channels, tools, and analytics platforms.
• Exceptional analytical and problem-solving abilities.
• Excellent communication and interpersonal skills.

If you are a results-driven digital marketing professional with a passion for driving business growth, we invite you to join our dynamic team at ProductNova.

Job Type: Full-time

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

• Drive Customer Success Outcomes
  • Increase renewal rates and reduce churn
  • Influence future lifetime value through higher product adoption, customer satisfaction and overall health scores
  • Drive new business growth through greater advocacy and reference-ability
• Optimize Customer Lifecycle
  • Identify opportunities for continuous improvement
  • Learn from best practices in industry
  • Take Decisions on contentious issues during customer journey
• Manage Customer Success Activities
  • Customer Support Management
  • Customer Success Management
  • Renewals
  • Billing and Collections (along with finance)
  • Advocating for Cross Sell and Upsell
• Inspire Customer Success Across Company
  • Create company-wide culture of Customer Success
  • Align with Marketing around marketing to existing clients
  • Align with Product around driving product roadmap
  • Align with Sales around cross-sell and up-sell and focus on selling with a retention focus
  • Create company-wide customer feedback loop
  • Align with Finance around measurement and forecasting
  • Align with Executive Team around key metrics and objectives

Requirements:

• 2+ years experience in B2B organizations
• Strong empathy for customers AND passion for revenue and growth
• Ability to manage influence through persuasion, negotiation, and consensus building
• Ideally combined background of post-sale and sales or business experience
• Excellent communication and presentation skills
• Deep understanding of value drivers in recurring revenue business models
• Analytical and process-oriented mindset
• Demonstrated desire for continuous learning and improvement
• Relevant Bachelor’s degree; preference for computer science or related degrees
• Need - good excel skills. Want - good ppt skills
• Handling tough situations or unhappy customers

7+ YOE in IT / Software Development and Services Industry

B.Tech/BE, Bachelor in Tech domain from Tier 1 College / Univesity

MBA or Masters from Top B schools or Tier 1 College / Univesity

Preferred with work experience in software frameworks, technologies, and programming languages.

• Develop and implement operational strategies: Develop and implement operational strategies to ensure the smooth functioning of the organization. This includes developing policies and procedures, managing resources, and monitoring performance metrics.

• Lead project teams: ensure the successful completion of projects within the allotted time and budget. This involves planning, organizing, and controlling project activities, as well as communicating with stakeholders to ensure project objectives are met.

• Manage resources: managing the resources required for both day-to-day operations and project delivery. This includes budgeting, resource allocation, and procurement of materials and services.

• Analyze data to identify areas for improvement and to make informed decisions regarding operational and project-related issues. This involves using data analysis tools and techniques to collect, organize, and interpret data.

• Ensure compliance ensures that the organization is compliant with legal and regulatory requirements. This includes implementing policies and procedures to ensure compliance with applicable laws and regulations.

• Build relationships and maintain relationships with stakeholders and employees. This involves effective communication, negotiation, and conflict-resolution skills.

• Develop and mentor team members developing and mentoring team members to enhance their skills and knowledge. This includes providing training, coaching, and feedback to team members to ensure they are equipped to perform their roles effectively.

• Work with departmental heads, managers, and other stakeholders to develop team goals and delegate tasks to the appropriate team member.

• Create and communicate a clear list of expectations and goals for team members to follow.

• Offer emotional support to project team members and make people feel valued.

• Maintain frequent communication to offer encouragement, amend tasks, and provide updates on goal progress.

• Implement incentives to keep the team motivated and focused on their daily tasks and project goals.

• Provide frequent feedback on employee performance, address weaknesses or inefficiencies, and offer support to improve skill gaps.

• Nurture collaboration amongst team members, Create a workspace that encourages creativity and innovation to get the most out of the team, and Quickly and effectively resolve team conflicts.

Basic Qualifications:

Education: A bachelor's degree/ master's degree or higher. administration, management, engineering, or operations management is often required.

B.Tech/BE, Bachelor in Tech domain from Tier 1 or 2 College / Univesity

MBA or Masters from Top B schools or Tier 1 College / Univesity

Experience: 7-10 years of relevant work experience in operations management, project management, or a related field is required.

Preferred with work experience in software frameworks, technologies, and programming languages.

Basic Skills:

• Team Management

• Communication

• Listening

• Conflict Resolution

• Team Leadership

• Organizational skills

• Critical Thinking

• Time Management

Job location:

Kolkata (Work from Office)