Tech Lead

We are looking to recruit an expert for backend software development at Webnyay. We are an enterprise SaaS startup catering to India and international markets. We are now growing fast and need a rockstar senior software developer who is an expert in Python/Django and GCP.

What we are looking for:

• At least 6 years of professional software development experience.
• At least 4 years of experience with Python & Django.
• Proficiency in Natural Language Processing (tokenization, stopword removal, lemmatization, embeddings, etc.)
• Experience in computer vision fundamentals, particularly object detection concepts and architectures (e.g., YOLO, Faster R-CNN)
• Experience in search and retrieval systems and related concepts like ranking models, vector search, or semantic search techniques
• Experience with multiple databases (relational and non-relational).
• Experience with hosting on GCP and other cloud services.
• Familiar with continuous integration and other automation.
• Focus on code quality and writing scalable code.
• Ability to learn and adopt new technologies depending on business requirements.
• Prior startup experience will be a plus!

Some of your responsibilities would include:

• Work closely in a highly AGILE environment with a team of engineers.
• Create and maintain technical documentation of technical design and solution.
• Build products/features that are highly scalable, secure, highly available, high performing and cost-effective.
• Help team in debugging.
• Perform code reviews.
• Understand the full feature set/ implementation and architecture of the applications.
• Analyze business goals and product requirements and contribute to application architecture design, development and delivery.
• Provide technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support.
• Act as an Interface with business teams to understand and create technical specifications for workable solutions within the project.
• Explore and work with LLM APIs and Generative AI.
• Make performance-related recommendations, identify and eliminate performance bottlenecks (hardware, software, configuration); drive performance tuning, re-design and re-factoring.
• Participate in the software development lifecycle, which includes research, new development, modification, security, reuse, re-engineering and maintenance of common component libraries.
• Participate in product definition and feature prioritization.
• Collaborate with internal teams and stakeholders across business verticals.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

Company Overview

CareStack is a complete cloud-based dental software solution for scheduling, clinical, billing, patient engagement, and reporting needs of dental offices of any size - whether it's a single location or a large multi-site DSO with hundreds of locations.

The company was founded in 2015 and the commercial launch was done in early 2018. Since then, more than 1000 offices have chosen CareStack as their single source of truth. This is the fastest growth till date in the dental practice management software market, dominated by 100 year old distribution companies.

More about CareStack

●    Rated by independent B2B software reviews and research analysts as the most modern, innovative and customer experience focussed company in the space with the fastest growth in the segment.

●    Important strategic go to market partnerships with dental industry leaders like Delta Dental, Darby Dental and several others.

●    Venture backed with over $60M raised from leading financial and strategic investors.

●    HQ'd in Orlando, FL with offices in Minnesota, Bangalore, Trivandrum and Cochin.

Role Overview

CareStack seeks to hire Software Development Engineer - 1 to build its next generation healthcare platform. You will be reporting to a Staff SDE in your business unit , to develop and release services and solutions for our platform, aligning with your business unit’s goals and objectives.

Key responsibilities

●    Technical Design

You can be a specialist in technology areas, but capable of creating complete designs to solve a specific problem that accomplishes a definitive product feature or enables a technical advancement.You should work with your lead to review your design and embrace the feedback

●    Process Definition/Adherence

You should deliver estimations, review test scenarios/cases created by QAs in your team, participate in sprint grooming and planning meetings. You must learn, practice and evangelize standard techniques for grooming, defining complexity of stories and estimation.

●    Code Quality

At Carestack we believe that your code reflects your character. Code for scale, produce maintainable reusable code. You must commit to clean coding, continuous refactoring to ensure a high level of code quality. Continuously learn, practice and evangelize coding patterns/best practices within and outside your team. You should ensure testability of team functional areas, facilitate integration testing, resolve deep rooted technical issues and proactively collaborate with team members in solving complex problems.

●    Team Player

You should proactively communicate to resolve dependencies within and outside the team. Understand organizations culture code and streamline conversations and activities that will further instill this code. Mentor and coach new additions to your team.

●    Value/Mission Alignment

Be a champion for CareStack within the Engineering team. Help drive workplace and cultural norms within your business unit that align with CareStack company values.

This role may be for you if you…

●    Have an insatiable itch to join and the courage to scale an early-stage technology company.

●    Have 2-4 years of experience in building modern day web platforms, using Microsoft technologies on the backend.

●    Can be a generalist or specialist with deep understanding of building software components that meet defined requirements, with good understanding of .NET Core/ASP.NET.

●    Are proficient in data structures and algorithms, and object oriented analysis and design of software systems.

●    Are a backend specialist with good understanding of event driven programming, distributed systems, caching/in-memory computing systems, data modeling for transactional systems.

●    Solid understanding of relational and non relational databases including warehouses.Preferably MySQL, MSSQL, Vertica and CosmosDB

●    Solid understanding of CI/CD patterns and IaC.

●    Expertise in building ETLs in both batch and streaming model.

●    Expertise in building and testing APIs and micro services

This role may not be for you if you…

●    Don’t have the itch to design solutions and write code and you don’t grab every other opportunity to review and write code.

●    Don’t have the fire in you to fight for your design suggestions and debate with logical data points

●    Don’t have the trait to be transactional in code reviews/design discussions, accept your mistakes and appreciate better ideas from your peers.

●    Haven’t developed the habit of doing objective conversations that are data driven.

Cogoport Story

Do you prefer to get speeding tickets or parking tickets?

Because at Cogoport we are speeding ahead to do something remarkable for the world. We are trying to solve the Trade Knowledge and Execution Gap, which is currently widening and preventing trade to the tune of $3.4 trillion annually. This Gap has enormous economic as well as human impact and disproportionately hits small and medium businesses globally.

The team at Cogoport is working on developing a new category, the Global Trade Platform, that helps companies discover and connect with appropriate trade partners, optimize shipping and logistics options and costs, and improve cash management and cash flow.

Cogoport is currently in hypergrowth mode. We are proud to have been named an Asia-Pacific High-Growth Company by the Financial Times and an Indian Growth Champion by the Economic Times. We are aiming to reach an annualized revenue of $1 billion (7700 Crores INR) by this summer and are hiring over 500 additional employees. We are currently hiring in Mumbai, Gurgaon, Chennai and Bangalore.

Cogoport Culture: We have two core values at Cogoport—Intrapreneurship and Customer-centricity. If you share these values and are a hard worker who is willing to take risks (and occasionally get a speeding ticket), you can make a huge impact and propel your career in an endless number of directions with Cogoport.

Cogoport Leadership

https://www.linkedin.com/in/purnendushekhar/">https://www.linkedin.com/in/purnendushekhar/
https://www.linkedin.com/in/amitabhshankar/">https://www.linkedin.com/in/amitabhshankar/

Life at Cogoport: It’s rare to be able to join a company that can give you the resources, support and technology you need to break new ground and see your ideas come to life. You’ll be surrounded by some of the smartest engineers and commercial specialists in India and the Asia Pacific Region.

With huge growth and the right entrepreneurial mindset, comes huge opportunities! So, wherever you join us, you’ll be able to dream, deliver better and brighter solutions, and speed ahead with the possibility to propel your career forward in endless directions as our company continues to grow and expand.

For more insights about the company:  https://cogoport.com/about">https://cogoport.com/about

Why Cogoport?

International Trade can be complicated at times and every day brings new challenges and opportunities to learn.  When we simplify international trade, it empowers and affects every human being on the face of this earth. Seven billion people - one common problem.

As a part of the Talent team at Cogoport, you will get an opportunity to be a part of an industry-wide revolution in the world of shipping and logistics by collaborating with other brilliant minds to resolve real world on-ground challenges. You will have a direct impact on the revenue and profitability growth for the organization.

Areas of Impact for you

• Hands-on management with deep-dive into the details of software design, implementation and debugging.
• Guide your teams in developing roadmaps and systems to drive product growth, then identify, plan, and execute projects to support that growth.Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and interactions with the internal teams and external partners.
• Collaborate with stakeholders from across functions to keep the development team in sync with all functions and overall business objectives.
• Develop large multi-tenant applications in Rails.
• Understand Rails best practices and religiously introduce those to codebase.
• Set up, create and manage strong best practices/architecture to ensure reliable, secure, bug-free, and performant software is released on-time.

Desirable Skills and Experience

• Loves coding.
• 4-6 years of experience managing technology teams.
• Demonstrated ability to build complex scalable technology products.
• Should have prior experience of working with ROR, React, PostgreSQL and cloud infra.
• Understanding scaling strategies for a high-traffic Rails applications.
• Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
• Experience in using ActiveRecordSerialize, RSpec and active interaction.Engin
• Knowledge about Asynchronous Networking in Ruby; Refactoring ActiveRecord Models; Background Job processing using Redis and Sidekiq; Writing automated Deployment Scripts using Capistrano, Ansible etc.
• Expertise in Data Science and Machine Learning is a plus.
• Expertise in Jenkins, Kubernetes, dockers and cloud technology is a plus.

Cogoport is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and respected at work.  

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 2+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle. 
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases.
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Requests, sklearn, Selenium
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good Humor

 Review all job requirements and specifications required for deploying the solution into the production environment. 

 Perform various unit/tests as per the checklist on deployment steps with help of test cases and maintain documents for the same. 

 Work with Lead to resolve all issues within the required timeframe and inform for any delays. 

 Collaborate with the development team to review new programs for implementation activities and manage communication (if required) with different functions to resolve issues and assist implementation leads to manage production deployments. 

 Document all issues during the deployment phase and document all findings from logs/during actual deployment and share the analysis. 

 Review and maintain all technical and business documents.  Conduct and monitor software implementation lifecycle and assist/make appropriate customization to all software for clients as per the deployment/implementation guide 

 Train new members on product deployment, issues and identify all issues in processes and provide solutions for the same. 

 Ensure project tasks as appropriately updated in JIRA / ticket tool for in-progress/done and raise the issues. 

 Should take self-initiative to learn/understand the technologies i.e. Vertica SQL, Internal Data integration tool (Athena), Pulse Framework, Tableau. 

 Flexible to work during non-business hours in some exceptional cases (for a few days) required to meet the client time zones. 

Experience on Tools and Technologies preferred: 

ETL Tools: Talend or Informatica ,Abinitio,Datastage 

BI Tools: Tableau or Jaspersoft or Pentaho or Qlikview experience 

Database: Experience in Oracle or SS 

Methodology: Experience in SDLC and/or Agile Methodology