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Director of Engineering
Location: Hyderabad, India
Department: Engineering & Product Development
Compensation: ₹40-50 LPA (Fixed)
About SmartDocs
SmartDocs is a 16-year-old, profitable, bootstrapped enterprise SaaS company providing procurement and spend management solutions to large enterprises globally. We compete head-to-head with SAP Ariba and Coupa, serving 26 enterprise customers—primarily major US infrastructure organizations whose operations depend on our platform processing millions of dollars in procurement transactions daily.
Our platform processes millions of dollars in procurement transactions for Fortune 500 companies. We're in the midst of an ambitious R&D transformation evolving from our successful bootstrapped roots to implement Silicon Valley-grade engineering operations, processes, and excellence.
This is not a corporate job. This is a builder's role.
People who were associated with US tolling system, spend management platform or Vendor Management system is highly preferable.
Who We're Looking For
The Ideal Background
We're specifically seeking technical leaders with entrepreneurial battle scars—those who've been founding engineers, technical co-founders, or early engineering leaders who built something from scratch. You understand what it takes to ship quality software when every decision matters. You've made tough technical calls with real consequences. You know the difference between perfectionism and pragmatism because you've lived both.
You might be
• A technical co-founder or founding engineer who took a startup from idea to production
• An early engineering leader (first 5-10 hires) who architected and scaled a product
• A tech-savvy entrepreneur who built and shipped a technical product to real customers
• A CTO or Engineering Director from a bootstrapped, capital-efficient company
• Someone who worked shoulder-to-shoulder with founders/CEOs on mission-critical applications where system reliability directly impacted business survival
What matters most: You've built something significant with your own hands, made critical technical decisions with constrained resources, and understand the weight of engineering choices when real customers and revenue depend on your platform.
We value entrepreneurial experience—whether your venture achieved unicorn status, profitability, got acquired, or taught you invaluable lessons through a pivot or wind-down. What we care about is that you were in the arena making things happen.
The Technical Must-Haves
This isn't about checking boxes—we need someone who can actually architect, build, and fix things when necessary:
Core Technical Requirements
• 7-15 years of hands-on software engineering experience
• Someone who have experience with products or projects in US tolling system, Vendor management system or spend Management.
• Expert-level proficiency in:
• Java and Spring Boot (not just familiarity—you've architected and built production systems)
• MongoDB (you understand document design, indexing, performance optimization)
• React or Angular (you can jump into frontend code when needed)
• Exposure to Azure (VMs, cloud services, deployments)
• Experience with mission-critical applications where system failures have serious business consequences
• 3-5+ years leading engineering teams—you've managed managers and scaled teams
The "Founder/Builder" Technical DNA
• You've written production code recently—not just reviewed it from a distance
• You understand technical debt as business trade-offs, not engineering failures
• You've made build-vs-buy decisions with real budget constraints
• You know how to extract maximum value from lean teams
• You've shipped features with imperfect information and learned fast
• You've worked directly with business stakeholders (founders, CEOs, customers) translating technical complexity into business outcomes
The Role: What You'll Actually Do
Engineering Leadership (Not Just Management)
• Lead 4 engineering managers and 15+ engineers building our Java/Spring Boot/MongoDB/Angular platform
• Own end-to-end execution: from sprint planning to production deployment to customer success
• Make real-time technical decisions—architecture reviews, production incident response, technical feasibility assessments
• Balance feature delivery against technical debt with P&L consciousness (like an owner, not just an employee)
• Roll up your sleeves when critical issues need senior technical intervention
Building World-Class Operations (Without Corporate Bureaucracy)
• Implement engineering processes that actually improve velocity (not ones that look good on slides)
• Establish meaningful metrics—code quality, deployment frequency, incident response times, team velocity
• Build CI/CD pipelines, automated testing, and deployment automation from scratch or improve existing ones
• Create engineering standards that balance enterprise requirements with startup agility
• Scale processes from 15 to 50+ engineers without losing execution speed or creating red tape
Strategic Partnership with Leadership
• Report directly to our CTO—partner on technical strategy and architecture decisions
• Work closely with CEO on company trajectory, R&D transformation, and growth initiatives
• Translate technical constraints and opportunities into business language for stakeholders
• Collaborate with Product Management on roadmap prioritization and technical feasibility
• Coordinate with US-based customers on implementations, integrations, and technical requirements
Technical Transformation Initiatives
• Consolidate customer-specific code branches into unified, maintainable codebase
• Reduce technical debt systematically without stalling feature delivery
• Modernize legacy components while maintaining 99.9% uptime for enterprise customers
• Build scalable architecture that supports future growth without over-engineering
• Drive adoption of modern development practices that fit our business reality
What Success Looks Like
In 90 Days:
• Built credibility with the team through technical competence and decisive action
• Identified top 3-5 process improvements and started implementation
• Resolved at least one critical technical issue that was blocking progress
• Established clear communication rhythms with engineering managers, CTO, and CEO
In 6 Months:
• Engineering velocity measurably improved with new processes yielding results
• Technical debt reduction roadmap defined and actively in execution
• Team morale demonstrably high—engineers respect your technical judgment and leadership
• Quick wins delivered that prove your impact to the business
In 12 Months:
• Engineering organization operates with startup efficiency and enterprise reliability
• Processes scale to support 30-50 engineers without adding bureaucracy
• Technical foundation is solid for next phase of company growth
• You're the technical leader the CEO and CTO depend on for critical decisions
• You're thinking like a business owner, not just an engineering leader
What Makes Someone Right for This
Must-Have Qualities
✅ Execution obsession – You ship. You don't just plan, discuss, and strategize endlessly.
✅ Technical credibility – Engineers respect you because you can do the work, not just manage it.
✅ Owner mentality – You think about ROI, customer impact, and business outcomes.
✅ Comfort with ambiguity – You've operated without perfect processes or unlimited resources.
✅ Direct communication – You tell it straight, especially when delivering hard truths to leadership.
✅ Customer empathy – You've felt the pain of production incidents affecting real users and business operations.
✅ Pragmatic perfectionism – You know when "good enough now" beats "perfect later."
✅ Strategic thinking – You connect engineering decisions to business outcomes naturally.
Deal-Breakers
❌ Pure "process people" who've never written production code or made technical decisions under pressure
❌ Leaders who need perfect information before making decisions
❌ Those seeking predictable 9-to-5 corporate roles with clearly defined swim lanes
❌ Anyone uncomfortable with hands-on technical work when business needs demand it
❌ Leaders who create process for process's sake rather than business value
❌ People who see engineering as separate from business success
Why This Opportunity is Different
It's Real
• Profitable company – 16 years, real revenue, real customers (not burning through funding rounds)
• Enterprise customers – Major US infrastructure organizations depend on our platform for daily operations
• Mission-critical systems – When we go down, procurement operations for major infrastructure companies stop
• Technical challenges – Scaling, modernization, integration complexity—substantive engineering problems
• Proven product-market fit – We're not searching for PMF; we're scaling what works
It's Rare
• Bootstrapped DNA – We think like owners, not corporate employees spending someone else's money
• Transformation opportunity – Build Silicon Valley-grade engineering in a profitable, established company
• Direct impact – Your decisions directly affect company trajectory and customer success
• Leadership access – Work directly with CEO and CTO, no layers of middle management or politics
• Entrepreneurial environment – In a company with stability, revenue, and runway
It's Yours to Build
• Autonomy – Implement processes your way (as long as they deliver results)
• Growth path – Scale team from 15 to 50+ engineers as you prove the model works
• Culture creation – Define the engineering culture and standards that will shape the company's future
• Long-term impact – This is a career-defining role, not a stepping stone or a layover
• Ownership mindset – Treated like a business partner, not just a hired hand
What We Offer
Compensation & Structure
• ₹40-50 LPA (Fixed) based on experience, background, and entrepreneurial track record
• Performance-based bonus tied to engineering KPIs, team performance, and company success
Professional Growth
• Direct partnership with CEO and CTO on strategic initiatives and company direction
• Budget for conferences, certifications, and continuous learning
• Opportunity to build and lead team from 15 to 50+ engineers
• Work on enterprise-scale technical challenges serving major enterprises
• Shape the technical future of a company with real momentum
Work Environment
• On-site in Hyderabad with our core R&D team
• Sustainable pace—we value intensity and focus during work hours, not burnout culture
• Collaborative environment with low politics, high ownership, and straight talk
• No VC pressure, unrealistic growth targets, or quarterly fire drills
• Work with people who've chosen to be here, not waiting for their next opportunity
Stability Meets Opportunity
• Profitable company with 16-year track record
• Established customer base generating predictable revenue
• Growth trajectory that's ambitious but sustainable
• Resources to invest in the right talent and technology
Our Tech Stack
Current State:
• Backend: Java, Spring Boot
• Frontend: Angular
• Database: MongoDB (Atlas)
• Infrastructure: Microsoft Azure (VMs)
• Integration: REST APIs, enterprise connectors
• Serving: Enterprise companies across US time zones
Where We're Going (with your leadership):
• Unified codebase consolidation across customer implementations
• Modern CI/CD and deployment automation
• API-first architecture for seamless integrations
• Enhanced observability, monitoring, and incident response
• Multi-tenant platform evolution (longer-term strategic initiative)
• Whatever improvements you identify that drive business value
SmartDocs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from those who've taken entrepreneurial risks, built things from scratch, learned from both successes and setbacks, and are ready to channel that experience into building something exceptional with staying power.
Your Role:
As a Video Editor at Mugafi, you’ll work on a variety of projects that span across multiple formats and platforms, including:
- Short Films & Storytelling Content: Bring narratives to life with high-quality editing that captures the essence of our storytelling platform.
- AI Collaboration Projects: Leverage cutting-edge tools like Midjourney, Stable Diffusion, and Runway ML to create visuals that break new ground.
- Social Media Videos & Ads: Create attention-grabbing content that connects with our online community and showcases Mugafi’s offerings.
- Interviews & Events: Edit videos for our platform that highlight key moments from our events, interviews and others.
- Tutorials & Character Generation Videos: Produce product related engaging, informative content for our users and partners.
What You’ll Bring:
- Experience: Proven experience of 3 years in video creation and editing.
- Creative & Efficient Mindset: A passion for pushing creative boundaries while leveraging AI tools to streamline workflows and elevate productivity.
- Video Editing Mastery: Advanced skills in video editing software, including Premiere Pro, After Effects, and other AI-powered tools.
- Collaborative Approach: Strong ability to work closely with our writers and marketing teams, ensuring every project aligns with creative and strategic goals.
- Creative & strategic thinking: Understanding of how to craft videos that captivate a range of audiences, from social media followers to production houses.
Role & Responsibilities :
- Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
- Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
- Transform business and design needs into innovative products.
- Drive all projects to completion within deadlines.
- Perform thorough testing to find issues ahead of time.
- Engineering software needs more precise analysis & coding skillset.
- Enhance skillset by working with fortune 500 clients.
- Interacting with internal team.
Qualifications :
- B.E in computer science or related fields.
- Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
- Ability to work at the tactical and strategic levels of IT initiatives.
- Impressive hands-on experience in Java, database(Oracle), OOPS, Java Swing, Javafx
- Self-Motivated, flexible & Innovative.

A Business Transformation Organization that partners with businesses to co–create customer-centric hyper-personalized solutions to achieve exponential growth. Invente offers platforms and services that enable businesses to provide human-free customer experience, Business Process Automation.
Location: Hyderabad (WFO)
Budget: Open
Position: Azure Data Engineer
Experience: 5+ years of commercial experience
Responsibilities
● Design and implement Azure data solutions using ADLS Gen 2.0, Azure Data Factory, Synapse, Databricks, SQL, and Power BI
● Build and maintain data pipelines and ETL processes to ensure efficient data ingestion and processing
● Develop and manage data warehouses and data lakes
● Ensure data quality, integrity, and security
● Implement from existing use cases required by the AI and analytics teams.
● Collaborate with other teams to integrate data solutions with other systems and applications
● Stay up-to-date with emerging data technologies and recommend new solutions to improve our data infrastructure
• At least 1 &2 Years of experience required.
• Experience with Google Adwords, Social Media Ads is a plus.
• Keyword research analytics
• Experienced in On-page SEO, Off-page SEO and Technical SEO
• Link building and Ranking analysis
• Knowledge of SEO tools and SEO plugins
• Abilities for improving organic Google search results for keyword search ranks.
• Must be able to talk well in English.
About WebMD:
WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians,
health care professionals, employers, and health plans through our public and private online portals,mobile platforms, and healthfocused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME
Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape
Education, and other owned WebMD sites. WebMD®, Medscape®, CME Circle®, Medpulse®, eMedicine®, MedicineNet®,
theheart.org®, and RxList® are among the trademarks of WebMD HealthCorp. or itssubsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, disability, or veteran status.
For Company details, visit our website: www.webmd.com
Education: B.E. Computer Science/IT degree (or any other engineering discipline)
Experience: 5+ years’ experience
Work timings: 2 PM to 11 PM IST
Position Requirement:
• 5+ years of hands on experience with the .NET framework, .NET Core, or Node.js API and back-end service development
• 5+ years of experience writing REST web services in .NET or Node.js
• Hands on Experience in C#, ASP.Net Web API, or Typescript, Javascript (ES6 or newer), and Express or other similar API library
• Experience with Relational, Git and NoSQL databases
• Highly proficient with object-oriented programming skills
• Familiarity with Test-Driven Development and Clean Architecture Principles
• Knowledge of Front-End javascript development and docker
• Experience with .Net and Node.js both will be an added advantage
• Exceptional organizational skills with keen attention to detail
• Ability to prioritize and deliver on multiple projects simultaneously in a fast-paced environment
• Strong problem solving and analytical skills
• Excellent communication skills
Roles & Responsibilities:
• Convert requirements into conceptual designs, structural architectures, functional specifications and ultimately final products
• Code Backend Applications and Web Services from Endpoints to Databases
• Review other developer’s code
• Contribute to ongoing maintenance of existing applications including fixing existing bugs
• Actively participate in project planning, solutions and technical strategy discussions, and documentation.
-
Possess strong domain knowledge - Digital Analytics (Google Analytics, App Analytics (Firebase/AppsFlyer/Branch/MixPanel), CRO, Media Analytics
-
Ability to handle Google Analytics clients end-to-end
-
Contribute to building effective process management, mentoring teammates, reducing product & execution inefficiencies
-
Be responsible for day-to-day Google Analytics operations and performance of client accounts, requiring interaction with both internal and external stakeholders.
-
Own, manage and grow digital analytics strategies for clients.
-
Be responsible for all regular (and ad hoc) reporting and analysis of digital activity providing crucial insights, and effectively communicating this to the client.
Roles and Responsibilities
Hiring for Mobile app Developer (1 to 2 yrs.)
- Develop hybrid mobile app for iOS and Android platform using Flutter framework
- Hands of experience in Flutter
- Proven software development experience
- Flutter/ React Native Developer
- Must have Experienced 6 months to 2 yrs. in above
- Developed at least 2 apps and live
Desired Candidate Profile
Fresher, Experience mobile app developer
- Experience in developing Android/ iOS applications
- Testing and debugging skills
- Design, Develop and maintain applications
-Exp. in Flutter/React nativeMerkle|Sokrati, a leader in Paid Search & Social Advertising, provides a sophisticated technology solution to efficiently manage Digital Marketing campaigns for several brands in India. The technology developed takes a beating of serving and tracking 20M+ impressions a day. It runs crunching algorithms and keyword discovery routines using distributed computing, housing the entire data in distributed caches and sharded MySQL databases.
To be a geek at Merkle|Sokrati you need to know how to build scalable and high-performance systems. Nothing at Sokrati is small. We start with a proof of concept that demands a traffic rate of 10M+! To achieve any of this you need to understand Distributed Systems, Distributed Caching, High-scale Databases. And we possess the skills to create software that makes this entire heterogeneous system function together even if it runs on 100 boxes. A system that is so widely used cannot sustain any downtime and hence it uses elegant high-availability techniques to survive an outage. Not many startups can say “been there, done that”!
@Merkle|Sokrati, you will:
- Implement solutions for broadly defined problems
- Drive best practices and engineering excellence
- Be involved in the development of code in object-oriented languages like Java etc and build large scale robust distributed systems
- Be involved in full fledged product development.
- Build New Features, Push them to production fast.
- Debug production issues across services and levels of the stack
- Build services or APIs which will for easy application integrations at Sokrati to develop applications faster.
- Build scalable/fault-tolerant backend systems that process and analyze billions of data points every day.
You'd fit right in if you have:
- 2-4 years of experience in building successful production software systems
- A solid grounding in Computer Science fundamentals (based on a BE/BTech or MS in Computer Science)
- Experience developing software services and an understanding of design for scalability, performance and reliability.
- Mastery of the tools of the trade, including a variety of modern programming languages (Python, Java, JavaScript, C/C++) and open-source technologies (Linux, Spring)
- Proven ability to work in a fast paced, agile and in an ownership and results oriented culture
If you are excited about:
- Having an unmatched startup experience that allows you to work on bleeding-edge technologies.
- Making a splash in a multi-billion dollar Digital Advertising industry
- Learning & Growing far beyond your current horizon
- A place full of like-minded & ridiculously smart folks
- A start-up culture that you'd cherish forever in your work life
Feel like you are a good fit? We would love to hear from you!
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.









