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Looking for Python lead/architect
Must Have:
- Able to architect a application from scratch.
- Able to refactor code
- Knowledge of Flask, DJango
- Team player
- Able to lead the team and guide them
- Deployment of code on Azure platform
Good to have:
- Knowledge of SqlAlchemy
- 4–7 years of professional C++ experience in performance-critical systems
- Expert knowledge of modern C++ (C++11/14/17)
- Strong understanding of data structures, algorithms, and memory models
- Deep experience with multithreading, atomics, lock-free programming, and CPU cache behaviour
- Excellent knowledge of Linux internals and system-level programming
- Experience with low-level debugging and profiling (gdb, perf, valgrind, flamegraphs)
- Proficiency with CMake/Make and Git
2. Trading Systems Experience (Highly Preferred)
- Hands-on experience with order management systems (OMS) and execution engines
- Knowledge of exchange protocols: FIX, ITCH, OUCH, FAST
- Experience handling market data feeds (L1/L2, multicast, UDP)
- Understanding of latency measurement, clock synchronization, and time stamping
- Experience with network tuning (kernel bypass, socket tuning, CPU pinning)
- Familiarity with trading lifecycle, risk checks, and throttling mechanisms
3. Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
4. Soft Skills (Important for Trading Firms)
- Ability to work under extreme time and accuracy pressure
- Strong ownership of production systems
- Clear and direct communication with traders and quants
- Bias toward simple, fast, and reliable designs
5. Key Responsibilities
- Design, develop, and optimize ultra-low-latency C++ trading applications
- Build and maintain exchange connectivity and order execution systems
- Develop real-time market data pipelines with strict latency requirements
- Optimize systems at CPU, memory, and network levels
- Implement lock-free or low-lock concurrent designs
- Analyze latency using profiling tools and improve tail latency
- Ensure high availability, fault tolerance, and rapid recovery
- Work closely with Traders and Quant Researchers to implement strategies
- Participate in architecture and performance design reviews
- Review code, enforce best practices, and mentor junior engineers
- Support production systems and handle time-critical issues when needed
Job Description
Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments
Qualifications
- a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle - f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
- g) Strong experience designing and working with
with service-oriented architectures (SOA) and WebAPIs.
- h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
- i) Knowledge of Python and NodeJS is a plus
- j) Ability to design and optimize SQL Server 2008 stored procedures.
- k) Experience with JQuery, CSS3, HTML5 or similar technologies.
Required Qualifications:
- 5+ years of professional software development experience.
- Post-secondary degree in computer science, software engineering or related discipline, or equivalent working experience.
- Development of distributed applications with Microsoft technologies: C# .NET/Core, SQL Server, Entity Framework.
- Deep expertise with microservices architectures and design patterns.
- Cloud Native AWS experience with services such as Lambda, SQS, RDS/Aurora, S3, Lex, and Polly.
- Mastery of both Windows and Linux environments and their use in the development and management of complex distributed systems architectures.
- Git source code repository and continuous integration tools.
Preferred Skills:
- Experience with XML-based web services (SOAP, REST).
- Knowledge of database technologies (SQL, NoSQL) for XML data storage.
- Familiarity with version control systems (Git, SVN).
- Understanding of JSON and other data interchange formats.
- Certifications in XML technologies are a plus.
- 5+ years of experience
- FlaskAPI, RestAPI development experience
- Proficiency in Python programming.
- Basic knowledge of front-end development.
- Basic knowledge of Data manipulation and analysis libraries
- Code versioning and collaboration. (Git)
- Knowledge for Libraries for extracting data from websites.
- Knowledge of SQL and NoSQL databases
- Familiarity with RESTful APIs
- Familiarity with Cloud (Azure /AWS) technologies
Level of skills and experience:
5 years of hands-on experience in using Python, Spark,Sql.
Experienced in AWS Cloud usage and management.
Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).
Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.
Experience with orchestrators such as Airflow and Kubeflow.
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Fundamental understanding of Parquet, Delta Lake and other data file formats.
Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.
Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
- You will develop the core engineering frameworks for an advanced self-service data analytics product.
- You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
- You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
- Your work will entail backend architecture to enable data modeling, data queries and API development for both back-end and front-end data interfaces.
- You will support client specific data processing needs using SQL and Python/Pyspark
- You will integrate our product with other data products through Django APIs
- You will partner with other team members in understanding the functional / non-functional business requirements, and translate them into software development tasks
- You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
- You will be a proactive contributor to team and project discussions
Who you are
- Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
- 2-3 years of experience in data queries, data processing and data modeling
- Excellent ANSI SQL skills to handle complex queries
- Excellent Python and Django programming skills.
- Strong knowledge and experience in modern and distributed data stack components such as the Spark, Hive, Airflow, Kubernetes, Docker etc.
- Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
- Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
- Familiarity with ML models is highly preferred
- Experience with Big Data processing and performance optimization
- Should know how to write modular, optimized and documented code.
- Should have good knowledge around error handling.
- Experience in version control systems such as GIT
- Strong problem solving and communication skills.
- Self-starter, continuous learner.
Good to have some exposure to
- Start-up experience is highly preferred
- Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
- Agile software development methodologies.
- Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
- Be an integral part of the founding team. You will work directly with the founder
- Work Life Balance. You can't do a good job if your job is all you do!
- Prepare for the Future. Academy – we are all learners; we are all teachers!
- Diversity & Inclusion. HeForShe!
- Internal Mobility. Grow with us!
- Business knowledge of multiple sectors
Job brief
We are looking for a Java Developer with experience in building high-performing, scalable, enterprise-grade applications.
You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.
Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.
Responsibilities
- Contribute in all phases of the development lifecycle
- Write well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
Requirements and skills
- BS/MS degree in Computer Science, Engineering or a related subject
- Proven hands-on Software Development experience (Microservices & Springboot)
- Proven working experience in Java development
- Hands on experience in designing and developing applications using Java EE platforms
- Object Oriented analysis and design using common design patterns.
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
- Experience in the Spring Framework
- Experience in developing web applications using at least one popular web framework (Spring MVC)
- Experience with test-driven development
- 3+ years of recent hands-on Java development
- Java, Python, JavaScript programming languages
- Fluency with RESTful APIs, AngularJS, HTML5 and CSS
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Understanding of database fundamentals and advanced SQL knowledge
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
What puts you over the top:
- Exposure to various technologies like Spring Boot, Microservices, Kubernetes and also some frontend technologies like React.js, Node.js or other UI frameworks.
● Experience in AdTech or Programmatic
MUST HAVE GOOD EXPERIENCE IN SPRING BOOT, NODE JS, ANGULAR JS, REACT JS, JAVASCRIPT,JAVA, HTML/CSS.
Candidates should have worked with Startups (IT Product Firms)
Should be from B2C Firms/Product/SaaS Firms
Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms
Your Experience Across The Years in the Roles You’ve Played
- 6+ years of technology experience (at least 2 years in direct engineering management)
- Managing a 5-15 member engineering team in an agile product org
- Track record of collaborative working with multiple stakeholders
- Planning and analysis with effective communication skills
You’ll Be Improving & Responsible For
- Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
- Collaboration across cross-functional stakeholders to ensure delivery timelines are met
- Implementing product engineering best practices, and evangelizing them within the org
- Engineering management with a strong sense of ownership
- Problem solving with a clear and analytical approach and organized work habits
- Technological innovation in agile product engineering scenarios
- Product and business management principles and metrics



