Team Manger

Key Responsibilities:

Backend Ownership

• Own the design, evolution, and reliability of mission-critical backend systems.
• Ensure scalability, performance, maintainability, and overall system health.
• Lead technical initiatives to address scaling challenges, technical debt, and architectural improvements.

System Design & Architecture

• Drive both High-Level Design (HLD) and Low-Level Design (LLD).
• Design scalable APIs, data models, service boundaries, and asynchronous workflows.
• Make sound engineering trade-offs balancing delivery speed with long-term system health.

Code Quality & Engineering Excellence

• Improve backend code quality through architecture reviews, code reviews, and refactoring.
• Simplify complex codebases and establish maintainable engineering patterns.
• Introduce best practices and guardrails to improve long-term maintainability.

Database & Performance Optimization

• Optimize PostgreSQL performance through schema design, indexing, query optimization, and tuning.
• Improve application performance using caching strategies and asynchronous processing.
• Design and operate analytics pipelines using ClickHouse or similar large-scale data systems.
• Work with messaging systems such as RabbitMQ or equivalent.

Technical Leadership

• Mentor backend engineers on architecture, debugging, and engineering best practices.
• Influence technical direction through thoughtful design discussions and strong technical reasoning.
• Raise overall engineering standards across teams.

Production Ownership

• Own production stability, incident management, and root cause analysis.
• Improve observability, monitoring, debugging, and operational excellence.
• Drive long-term reduction in production incidents and operational overhead.

Required Skills & Experience

Must Have

• 7+ years of backend engineering experience.
• Strong expertise in Node.js.
• Deep experience with PostgreSQL, including performance tuning and optimization.
• Experience designing and operating distributed backend systems.
• Strong understanding of system design, scalability, and microservices architecture.
• Experience owning backend services end-to-end—from architecture to production support.
• Strong debugging and problem-solving skills.
• Experience improving code quality, maintainability, and engineering standards.

Good to Have

• Experience with RabbitMQ or similar messaging systems.
• Experience with ClickHouse or large-scale analytics platforms.
• Experience deploying and managing applications on AWS.
• Strong knowledge of observability, monitoring, and production reliability.

What We're Looking For

Engineering Mindset

• Passion for improving existing systems rather than simply building new ones.
• Ability to simplify complex architectures and create maintainable solutions.
• Strong focus on writing clean, readable, and scalable code.
• Testing mindset with emphasis on reliability and long-term quality.
• Ability to evaluate technical trade-offs and design for future scalability.

Leadership Without Authority

• Influence technical decisions through expertise and clear reasoning.
• Challenge scope or timelines when necessary to protect system health.
• Mentor engineers and elevate overall engineering standards.
• Lead by example through hands-on technical excellence.

Why Join Vahan?

• Unlimited Paid Time Off (PTO)
• Comprehensive Medical Insurance
• Monthly Wellness Leaves
• Competitive Compensation
• Opportunity to solve large-scale engineering challenges impacting millions of users
• Ownership-driven engineering culture with significant technical autonomy
• Work alongside exceptional engineers building products that create meaningful social impact

🚨 We’re Hiring | Support Engineer – Trading & Capital Markets 🚨

📍 Location: Bangalore

🕘 Shift: Night Shift

🎯 Domain Priority: Trading / Capital Markets ONLY

We are looking for a Support Engineer with hands-on experience in trading systems and capital markets, who thrives in fast-paced, high-availability environments and is passionate about client-facing technical support.

✅ Must-Have Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field
• 2+ years of experience in Application / Technical Support, preferably in the broking or trading domain
• Strong understanding of Capital Markets – Equity, F&O, Currency, Commodities
• Solid technical troubleshooting skills:
• Linux/Unix
• SQL
• Log analysis
• Familiarity with Trading Systems, RMS, OMS, APIs (REST/FIX), and order lifecycle
• Excellent communication and interpersonal skills for effective client interaction
• Ability to work under pressure during live trading hours and manage multiple priorities
• Customer-centric mindset with strong problem-solving and relationship-building abilities

🔍 Key Responsibilities

• Act as the primary point of contact for clients reporting issues related to trading applications and platforms
• Log, track, and monitor incidents using internal tools and ensure resolution within defined TATs
• Coordinate with Development, QA, Infrastructure, and other internal teams to drive timely resolution
• Provide clear, proactive, and regular updates to clients and internal stakeholders
• Maintain detailed logs of incidents, escalations, resolutions, and fixes for audits and future reference
• Support clients with queries related to system functionality, performance, and usage
• Communicate proactively with clients regarding product enhancements, features, and updates

⚠️ Note: Candidates with experience in the Trading / Capital Markets domain will be given first priority.

📩 Interested candidates can comment “Interested” or share their resume via DM.

Let’s connect and build reliable trading support systems together!

• Hands on exp on FICO
• Good understanding of Finance related Business process and period end closing activities
• exp on sub modules like AP, AR, GL, Asses accounting , TAX and bank accounting
• tech aspects like idocs, user exits,BADI's workflow
• integration with SD and MM
• basic knowledge to controlling - COPA, PCA, CCA
• good communication skils
• interpersonal skills
• analyze, design, configuration , test , implement SAP Solutions to meet business requirement

We are looking for a candidate from the FMCG sector who is a Dairy Technologist with strong experience in sales

Key Responsibilities:

Handling techno-commercial activities for selling Dairy Ingredients from our portfolio for Key Accounts - Pan India.

Maintaining interpersonal relationships with customers to generate projects with our ingredients for various processed dairy products.

Generating sale plan for our dairy ingredients and fulfill the targets.

Reporting to senior management on the business plan and growth strategy.

Building and retaining client relationships through continuous follow up/visit to customers.

Requirements:

3 -10+ years of relevant experience in sales and dairy technology.

Indepth Technical knowledge wrt to the ingredients used in processed dairy products.

Thorough knowledge of the regulations of the Indian dairy industry.

Hands on experience of taking trials for various end products at customers end.

Benefits:

Career growth & learning opportunities

Team-building & fun work culture

Performance bonuses as per company policy

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

We are seeking a motivated AI Engineer who is passionate about exploring the future of artificial intelligence and eager to transition into the IT field. This role is ideal for individuals with a career gap who have undergone professional training in AI and are looking to apply their skills in a dynamic environment.

• Develop AI Models: Design and implement machine learning algorithms and deep learning models to extract insights from large datasets.
• Collaborate with Teams: Work closely with cross-functional teams to identify business needs and integrate AI solutions that enhance operational efficiency.
• Research and Experimentation: Conduct experiments to improve AI system performance and stay updated with the latest advancements in AI technologies.
• Documentation: Maintain comprehensive documentation for AI models, algorithms, and processes.

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field is preferred.
• Training: Completion of professional training programs in AI, machine learning, or data science.
• Programming Skills: Proficiency in programming languages such as Python or R, with experience in data processing techniques.
• Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.

• A genuine interest in the evolving landscape of AI technologies.
• Willingness to learn and adapt in a fast-paced environment.
• Excellent communication skills for effective collaboration within teams.

This position offers a unique opportunity for those looking to pivot their careers into IT while contributing to innovative AI projects. If you are ready to embrace this challenge, we encourage you to apply!

3 years Minimum Experience Required (Vacancies 5)

Location:- Chandigarh IT Park (WFO)

Shift Timings:- UK Shift

Responsibilities:

• Develop, test, and maintain robust and scalable Python applications.
• Work collaboratively with cross-functional teams to design and implement new features.
• Ensure the performance, quality, and responsiveness of applications.
• Implement server-side logic, database integration, and system architecture.
• Choose and work with one of the following frameworks: Flask, Django, or Fast API.
• Utilize databases such as SQL, Post SQL, or MongoDB to support application development.
• Demonstrate proficiency in Linux or Ubuntu server environments.
• Knowledge of containerization tools, particularly Docker, for deployment and scalability.
• Implement and optimize caching strategies using Redis or Celery (a plus).
• Participate in the planning and implementation of Continuous Integration/Continuous Deployment (CI/CD) processes.
• Stay updated on industry trends and emerging technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Python Developer with 3-5 years of hands-on development.
• In-depth knowledge of at least one of the following frameworks: Flask, Django, or Fast API.
• Strong expertise in databases such as SQL, Post SQL, or MongoDB.
• Familiarity with Linux or Ubuntu server environments.
• Proficiency in containerization tools, particularly Docker.
• Experience with Redis cache or Celery is a strong plus.
• Understanding of CI/CD processes and tools.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to thrive in a fast-paced and dynamic work environment.

In order to be considered for this opening, please apply on our career page:

Are you interested to be part of the tech team of an innovative international tech school aimed at developing the change makers of tomorrow?

About Seedstars Academy

Seedstars Academyis a new international school being launched in Bengaluru, the first one of its kind available for students in India. In a 24 months program, students gain both coding skills and entrepreneurial skills, helping them become the change makers of tomorrow. With a Swiss certification and a program developed and tested across the world in the last 20+ years, this is a world class alternative students in India now have access to. The Academy is brought in India by Seedstars and 01 Edu.

About the job

We are looking for new team members with a technical background to help us change the education landscape of India! The role of the technical tutor is to set up the study program modules, facilitate or organize additional events together with our partners under the supervision of the Head of Tech and support the students through the program and ensure that the content is made available to the students.

Role & responsibilities

• Understand the 01Edu System curriculum and content, ability to implement instructions to modify platform content and know the platform inside and out.
• Perform audits of student work during the test period.
• Communicate with students during sprint (piscines) and study period and answer their questions.
• Monitor students progress and guide them
• Be able to identify platform bugs and communicate with the manager and/or 01 tech team.
• Initiate or support with organizing tech events and collaborations (demo days, hackathons, partners’ activities)
• Query the database to perform analytics and extract insights.
• Ensure data backup and implement specific actions to maintain data integrity and building security
• Work collaboratively with 01Edu team on the platform use
• Regularly conduct performance analysis on students progress, identify and encourage students to overcome obstacles
• Have credibility with corporate partners (ex. understand technical inputs for a hackathon).

Our ideal candidate

• Has a computer science background, has experience with multiple programming languages and feels comfortable learning new languages (such as Go)
• Ability to quickly learn new or unfamiliar technology and products using documentation and internet resources.
• Ability to implement, administer, and troubleshoot network infrastructure devices, including wireless access points, firewalls, routers, switches, controllers is a plus
• Ability to work with all levels of staff within and outside of IT and outside the organization.
• Good analytical and problem-solving skills.
• Share our values and support our inclusion and diversity vision
• Great communication skills
• Good knowledge of English (intermediate level)

Why our employees love working with us

• We are on a mission which is bigger than all of us: to impact people’s lives in emerging markets.
• You work in an entrepreneurial culture where you’re surrounded by a vibrant and diverse team.
• We offer autonomy and flexibility with a strong belief that responsible people should have the freedom to do their work when and how they want.
• We were awarded as one of the most democratic workplaces in the world due to our freedom centered practices .

We are an equal opportunity employer with a diverse mix of nationalities and backgrounds represented in our company. We truly value diversity and believe that the cultural landscape of our organization should reflect the types of work that we engage in and the places that we do it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status and strongly encourage applicants from historically underrepresented groups to apply to all of our roles at Seedstars.

In order to be considered for this opening, please apply on our career page.