Python Developer

Job Description: Python-Azure AI Developer

Experience: 5+ years

Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal

Mandatory Skills:

• Python: Expert-level proficiency with FastAPI/Flask
• Azure Services: Hands-on experience integrating Azure cloud services
• Databases: PostgreSQL, Redis
• AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding

Good to Have:

• Workflow automation tools (n8n or similar)
• Experience with LangChain, AutoGen, or other AI agent frameworks
• Azure OpenAI Service knowledge

Key Responsibilities:

• Develop AI-powered applications using Python and Azure
• Build RESTful APIs with FastAPI/Flask
• Integrate Azure services for AI/ML workloads
• Implement agentic AI solutions
• Database optimization and management
• Workflow automation implementation

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.

Job Description:

We are seeking a highly motivated and skilled Full Stack Java Developer with strong experience in backend and frontend development, cloud deployment, and modern DevOps practices. The ideal candidate will have a solid background in Java/J2EE technologies, hands-on experience in developing microservices on AWS, and a good understanding of CI/CD pipelines and monitoring tools.

Key Responsibilities:

• Design, develop, test, and maintain scalable web applications and microservices.
• Implement backend logic using Core Java, J2EE, Spring Boot, Spring Batch, JPA, and REST APIs.
• Build responsive UIs using React, HTML, CSS, and integrate them with backend services.
• Develop and deploy microservices using AWS services like ECS, EC2, S3, API Gateway, Aurora, ALB, and Route 53.
• Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
• Write unit and integration tests using JUnit and Cucumber.
• Monitor application performance using APM tools and analyze logs using Splunk or similar tools.
• Implement CI/CD pipelines using Jenkins, Maven/Gradle, and Git/Bitbucket.
• Work with containerization and orchestration tools like Docker and Kubernetes.
• Collaborate with cross-functional teams using tools like JIRA and Confluence.

Required Skills & Experience:

• Strong hands-on experience in Java/J2EE application development.
• Proficiency in Spring frameworks (Spring Boot, Batch) and RESTful services.
• Frontend development experience with React, HTML, CSS.
• Solid experience with AWS cloud technologies and deployment practices.
• Experience in writing and maintaining automated tests with JUnit and Cucumber.
• Knowledge of APM tools and log analysis tools (e.g., Splunk).
• Familiarity with CI/CD pipelines and tools (Jenkins, Maven/Gradle, Git).
• Experience with Docker and Kubernetes.
• Excellent problem-solving, debugging, and analytical skills.
• Good communication skills and ability to work in Agile teams.

Preferred Qualifications:

• AWS certification is a plus.
• Experience with Amazon Aurora and API Gateway in production environments.
• Knowledge of SOA, messaging systems (e.g., MQ), and security best practices.

Python Backend Developer

We are seeking a skilled Python Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be on developing server-side logic to ensure high performance and responsiveness to requests from the front end. You will also be responsible for integrating front-end elements built by your coworkers into the application, as well as managing AWS resources.

Roles & Responsibilities

• Develop and maintain scalable, secure, and robust backend services using Python
• Design and implement RESTful APIs and/or GraphQL endpoints
• Integrate user-facing elements developed by front-end developers with server-side logic
• Write reusable, testable, and efficient code
• Optimize components for maximum performance and scalability
• Collaborate with front-end developers, DevOps engineers, and other team members
• Troubleshoot and debug applications
• Implement data storage solutions (e.g., PostgreSQL, MySQL, MongoDB)
• Ensure security and data protection

Mandatory Technical Skill Set

• Implementing optimal data storage (e.g., PostgreSQL, MySQL, MongoDB, S3)
• Python backend development experience
• Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions
• Implemented and managed containerization platforms such as Docker and orchestration tools like Kubernetes
• Previous hands-on experience in:
• EC2, S3, ECS, EMR, VPC, Subnets, SQS, CloudWatch, CloudTrail, Lambda, SageMaker, RDS, SES, SNS, IAM, S3, Backup, AWS WAF
• SQL

Core Focus:

• Operate with a full DevOps mindset, owning the software lifecycle from development through production support.
• Participate in Agile ceremonies and global team collaboration, including on-call support.

Mandatory/Strong Technical Skills (6–8+ years of relevant experience required):

• Java: 4.5 to 6.5 years experience
• AWS: Strong knowledge and working experience with Cloud technologies minimum 2 years.
• Kafka: 2 years of Strong knowledge and working experience with data integration technologies
• Databases: Experience with SQL/NoSQL databases (e.g., Postgres, MongoDB).

Other Key Technologies & Practices:

• Python, Spring Boot, and API-based system design.
• Containers/Orchestration (Kubernetes).
• CI/CD tools (Gitlab, Splunk, Datadog).
• Familiarity with Terraform and Airflow.
• Experience in Agile methodology (Jira, Confluence).

Egnyte is seeking an experienced Sr. Software Engineer to join our Software Engineering (Infrastructure) group. The Software Engineering (Infrastructure) group builds large distributed components and services that run Egnyte’s Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. Some of the responsibilities for this group include Egnyte’s Cloud File System, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

What You’ll Do (but is not limited to)

• Design and develop highly-scalable elastic cloud architecture that seamlessly integrates with on-premises systems
• Challenge and redefine existing architectural fundamentals in order to provide next level of performance and scalability; ability to foresee post-deployment design challenges, performance and scale bottlenecks
• Work with multicultural, geographically distributed teams and closely coordinate with cross-functional teams in multiple time zones.
• Deliver enterprise-grade products to customers and continuously work with engineering team to refine products in the field
• Mentor interns and junior engineers, collaborate with Operations, and work closely with CTO on roadmap items
• Extensive penetration testing to ensure security across a hybrid deployment between public/private cloud
• Monitor and manage 3,000+ nodes using modern DevOps tools and APM solutions
• Proactive performance and exception analysis

Your Qualifications

• 5+ years of relevant industry work Experience
• Demonstrated success designing and developing complex systems
• Expertise with multi-tenant, highly complex, cloud solutions
• Experience owning all aspects of software engineering, from design to implementation, QA and maintenance.
• Experience with the following technologies: Java, SQL, Linux, Python, HBase/BigTable
• Data driven decision process
• Relies on unit testing instead of manual QA
• Knowledge of DevOps techniques
• BS or MS degree in Computer Science or related field

Bonus Skills

• Experience with Hybrid and/or on-premises solutions 
• Experience in working with AWS or GCP
• Experience with the following technologies:, Nginx, Haproxy, BigQuery, New Relic, Graphite, and/or Puppet
• Security / Governance expertise

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visithttp://www.egnyte.com/"> http://www.egnyte.com/">www.egnyte.com

Responsibilities

• Plan, develop and implement large-scale projects from conception to completion.
• Interface with clients and gather business requirements and objectives.
• Translate clients’ business requirements and objectives into technical applications and solutions.
• Understand and evaluate complex data models.
• Design, develop and implement new integration.
• Execute system development and maintenance activities.
• Develop solutions to improvise performance and scalability of systems.
• Mentor junior and mid-level engineers.

Minimum Requirements

• 3-5 years of relevant experience, working in Java related technologies.
• A Good Engineering or Masters degree from a reputed university
• Should have strong technical skills with a good grasp of OO concepts and design patterns

• Good knowledge of SQL database ( MySQL, Oracle, etc )
• Good understanding of frameworks like Spring, Hibernate, etc.
• Good understanding of spring boot and microservices.
• Exposure to AWS services - S3, SQS, Lambda, DynamoDB, API Gateway, etc.

Good to have

• Knowledge of No-SQL DBs like mongo, dynamoDB, etc.
• Knowledge of message brokers/queuing services like SQL, rabbitMQ, Kafka, etc.

• Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
• Designing, creating and maintaining our in-house software for business requirements
• Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
• Improve on existing tools to make trade monitoring systems robust and more reliable

Ideal candidate should have:

• Engineering degree in Computer Science (preferred) or any other discipline
• Experience on Python web app development (Preferably Django)
• Ability to work as a full stack developer
• Experience in Shell/Perl or Python scripting
• Prior experience of Linux or Unix based operating systems
• Ability to create automation scripts
• Experience/Knowledge of financial industry
• Ability to work in fast paced environment under pressure and manage multiple high priority projects
• Willingness to learn and work on new technologies
• Excellent communication skills

Senior / Python Developer

We are looking for a Senior / Python Developers to join our engineering team and help us develop and maintain various software products. Your responsibilities include understanding the product very well, and lead the integration of this product into architecture.

To be successful in this role, you should have strong technical knowledge and solid experience of all steps of the software engineering process and the tools associated with those. You should be a go-getter, a clear communicator and a strong collaborator who works well in a team as well as the customer. You should want to do high quality work and produce output that you are proud of.  

• Good understanding of Python especially should have used file/directory access, data persistence, compression and archiving, cryptographic services, concurrent operations, networking and IPC, developmental tools etc.
• Good understanding of key differences in Python 2 vs 3
• Knowledge of lib2to3, six, python-future libraries. Compatibility idioms provided by these libs and their limitations, issues in using them as is.
• Knowledge of Python3 changes in data types especially str, bytes in Py3 vs str, unicode in Py2. Should be able to gauge, understand impact of this on data in transit/data at rest in a large project.
• Knowledge of using C extensions in Python code, modifying to run with Python3, Python 2-3 compatibility.
• Experience working with large python codebase.
• Working knowledge of mysql, Python ORM like sqlobject.
• Working knowledge of Common third party modules like cherrypy, falcon, gunicorn, etc.
• Good experience with basic python, no django/flask needed 
• Some code needs to run in Python 2, some in Python 3 and some in compatibility mode
• Issues for Druva are in ORM, marshalling, networking
• Need candidates having Understanding of basic data types, extensions of python 
• Data type conversion and networking is important 
• Internals of Python are important