Senior Backend Developer

Required Core Tech Stack:

We're looking for engineers with hands-on experience across most of the following technologies:

• Python Backend Development (3+ years)
• FastAPI (2+ years of production experience required)
• PostgreSQL
• MongoDB
• Redis
• Docker
• Celery or equivalent async task queues
• REST APIs & Microservices
• AWS/GCP
• GitLab CI/CD

The selected Sr. Backend engineer will ship the backbone that powers 4 million + learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

What You'll Do:

At LearnTube, we’re pushing the boundaries to revolutionize how the world learns. As a Senior Backend Engineer, your roles and responsibilities will include:

• Shipping Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves (Applicants without these skills are unlikely to move forward):

• 3+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Observability: Prometheus, Grafana, OpenTelemetry

Why LearnTube?

• Build AI products at global scale – Your work will power learning experiences for 4M+ learners across 64 countries.
• Work directly with experienced founders – Collaborate closely with founders who are deeply involved in product and engineering decisions, giving you ownership and a direct impact on the product roadmap.
• Learn fast – Join a high-performing team where you'll own features end-to-end and solve challenging backend and distributed systems problems.
• Recognized AI startup – LearnTube is a Google Top 20 AI Startup and part of Google's AI First Startup Accelerator, with access to cutting-edge AI technology and mentorship.

Why Work With Us? 

At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

• Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
• Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
• Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
• Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
• Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
• Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Senior Python Developer

Experience: 4–8 Years

About the Role

We are looking for a Senior Python Developer Engineer to join our team. This role focuses on building and maintaining data-intensive backend systems, handling large-scale datasets, and exposing insights through robust, scalable APIs.

You will work closely with operational and transactional data, design efficient data pipelines, and build backend services that power analytics, reports, and ERP workflows. The ideal candidate is strong in Python, excellent with data and databases, and capable of owning features end-to-end.

Key Responsibilities

• Analyze large datasets to identify trends, inconsistencies, and operational insights.
• Design, build, and maintain backend services and REST APIs using Python and FastAPI.
• Perform advanced data manipulation and aggregation using Pandas, NumPy, and SQL.
• Design and optimize data pipelines for analytics, reporting, and downstream systems.
• Implement automated data quality checks, validations, and monitoring scripts.
• Work closely with product, application, and business teams to translate raw data into clear, actionable outputs.
• Optimize query performance across relational and analytical databases.
• Expose processed data and insights via APIs or dashboards for consumption by web or ERP applications.
• Ensure high standards of code quality, performance, scalability, and maintainability.
• Write clear documentation for APIs, data flows, and processing logic.

Required Skills & Qualifications

• 4–8 years of strong, hands-on experience with Python in production systems.
• Excellent experience with data handling, processing, and large datasets.
• Strong experience building APIs using FastAPI (or similar frameworks).
• Deep expertise in Pandas, NumPy, and SQL.
• Solid experience with MySQL and PostgreSQL.
• Experience working with analytical or reporting workloads.
• Strong understanding of data modeling, joins, aggregations, and performance tuning.
• Proficiency with Git and collaborative development workflows.
• Strong analytical and problem-solving skills with the ability to work independently.

Good to Have

• Experience with ClickHouse, Databricks, or Elasticsearch.
• Exposure to data engineering concepts such as ETL/ELT, batch processing, and data pipelines.
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster).
• Familiarity with data visualization libraries (Plotly, Matplotlib, Seaborn).
• Experience with AWS services (S3, EC2, RDS, Lambda).
• Prior experience integrating data services into ERP or business applications.

Soft Skills

• Strong analytical mindset and attention to detail.
• High ownership and accountability.
• Ability to work independently with minimal supervision.
• Clear communication and documentation skills.
• Proactive, solution-oriented approach.

Job Title: Java Spring Boot Engineer

📍 Location: Bangalore

🧾 Experience: 3–4 Years

📝 Employment Type: Contract (1 Year + Extendable)

Required Skills & Qualifications:

• Strong expertise in Java, Spring Boot, and backend development.
• Hands-on experience with PHP.
• Good understanding of data structures and algorithms.
• Experience with GraphQL and RESTful APIs.
• Proficiency in working with SQL & NoSQL databases.
• Experience using Git for version control.
• Familiarity with CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, Azure).
• Exposure to monitoring and logging tools like Grafana, New Relic, and Splunk.
• Strong problem-solving skills and ability to work in a collaborative team environment.

Required skills:-

2+ years of experience in the Development of JAVA technology.

Strong Java Basics

SpringBoot or Spring MVC

Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)

Proficient in REST API development

Messaging Queue (RabitMQ or Kafka)

Microservices

Any Caching Mechanism

Good at problem-solving

Good to Have Skills:

2+ years of experience in using Java/J2EE tech stacks

Good understanding of data structures and algorithms.

Excellent analytical and problem solving skills.

Ability to work in a fast-paced internet start-up environment.

Experience in technical mentorship/coaching is highly desirable.

Understanding of AI/ML algorithms is a plus.

Greetings from Sapper Software Pvt Ltd

Sapper.ai is a cloud native integration platform. Businesses use us to connect their applications, automate and optimize their processes and data connections. Sapper.ai is unique in our ability to connect and move data using any method (APIs, integrations, batch and streaming). We embed AI throughout the platform to proactively recommend integrations and process automations to business users freeing them up from mundane and time consuming tasks.

Website: https://www.sapper.ai/

Senior Java Developer : 3 to 7 years

Work Location: Work in the office at Baner, Pune

Job Requirements:

• Relevant experience in Java 1.7 or higher / J2EE Java development.

. Have experience of agile systems development methodologies such as SCRUM

• Experience in designing the solution and implementation.
• Is a communicative, positive, outgoing and driven team player.
• Solution-oriented, see opportunities and proactively proposing new solutions, speak and write fluently in English.

Skill Set Required:

• Experience in Java 8.
• Experience in Spring Boot and other spring framework like Spring data, AOP etc.
• Experience in MongoDB/ Kafka / RabbitMQ etc.
• Experience in REST API
• Have worked on microservices
• Should have worked on minimum 2- 3 projects
• Experience in writing effective Unit test case for better coverage.
• Experience in writing good quality code by following code quality tools likes SonarQube etc.

Roles and Responsibilities

- Relevant work experience in Java 1.7 or higher / J2EE Java development.

. Have experience of agile systems development methodologies such as SCRUM

- Experience in designing the solution and implementation.

- Is a communicative, positive, outgoing and driven team player.

- Solution-oriented, see opportunities and proactively propose new solutions, speak and write fluently in English.

Desired Candidate Profile

- Experience in Java 8.

- Experience in Spring Boot and other spring frameworks like Spring data, AOP, etc.

- Experience in MongoDB/ Kafka / RabbitMQ etc.

- Experience in REST API

- Have worked on microservices

- Should have worked on a minimum of 2- 3 projects

- Experience in writing effective Unit test cases for better coverage.

- Experience in writing good quality code by following code quality tools likes SonarQube etc.

Mandatory - Core Java / Java 8 & Spring Boot,

Good to have - MongoDB/Kafka / RabbitMQ / Micro Services

If you are interested and matching as per requirements, kindly share your updated CV and below details on hemant dot hingmire at sapper dot ai 

Total Experience?

Relevant Experience?

Core Java?

Java 8?

MongoDB/Kafka / RabbitMQ?

Springboot?

Microservices?

Current Company?

Current CTC?

Expected CTC?

Notice Period (Max 30 days)?

Tentative Date to Join Us?

Reason for Change?

Offer in Hand (Yes/ No) Annual CTC?

Living in Pune Yes / No?