Python Developer

• 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

What We’re Looking For:

• Strong experience in Python (5+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing

• Software Engineering
  • Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal guidance for a market leader in the logistics industry
  • Partner with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team
  • Research new technologies and tools that enable building the next generation of our services
  • Provide technology leadership to the team and foster engineering excellence
• Product Delivery
  • Partner with product managers to define and execute on the feature roadmap
  • Translate business requirements into scalable and extensible design
  • Coordinate with various cross functional teams on planning and execution
  • Maintaining automated build / test / deployment environments

• Software Engineering
  • Should have at least 3 years of hands-on experience in designing, developing, testing and deploying applications on Java, Ruby, Kotlin, Python, Node or Go for large scale applications
  • Deep knowledge of one of the programming languages they have experience in
  • Proficient in OOP and Design Patterns, experience with functional programming would be a plus
  • Data modelling experience in Relational Databases
  • Ability to design and implement low latency RESTful services
• Product Delivery
  • Ability to scope, review and refine user stories for technical completeness and to alleviate dependency
  • Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management
  • Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools
• Product Maintenance

• Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks
• Continuously refactor applications to ensure high quality design

Mandatory Criteria :

• Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

Required Skills:

● Expert in Python, with knowledge of at least Django (More web frameworks are a plus)

● Familiarity with some ORM (Object Relational Mapper) libraries

● Able to integrate multiple data sources and databases into one system

● Understanding of the threading limitations of Python, and multi-process architecture

● Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

● Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 (is a plus)

● Understanding of accessibility and security compliance

● Knowledge of user authentication and authorization between multiple systems, servers, and environments

● Understanding of fundamental design principles behind a scalable application

● Familiarity with event-driven programming in Python

● Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

● Able to create database schemas that represent and support business processes

● Strong unit test and debugging skills

● Proficient understanding of code versioning tools

● Knowledge of application deployment process and server set up

● Integration of data storage solutions

Responsibilities:

● Owning one or more of the web services; adding new features, resolving bugs, and refactoring/ improving code base.

● Design and implementation of low-latency, high-availability, and performant applications

● Translating product requirements into functional, maintainable, extensible software that is in-line with company objectives.

● Good knowledge of software engineering best practices, including unit testing, code reviews, design documentation, debugging, troubleshooting, & agile development.

● Work on cutting-edge web technologies to make a powerful impact on 1M+ enterprise users

● Be part of a growing team that will design, develop, and test software and cross-product applications which span across different Planview products

● Work in an agile engineering team writing maintainable and scalable code for software components and influencing team decisions

● Contribute to the product’s architecture vision and execution, working closely with cross-product teams and other leaders within the R&D department

● Collaborate with stakeholders to imagine, design, develop, test, and launch software that impacts our customers and inspires your peers

● Drive continuous improvement of software quality, CX and maintainability of features

● Continuous learning of technology trends, tools, and approaches, including sharing this knowledge with your team

1. Writing reusable, testable, and efficient
2. Design and implementation of low-latency, high-availability, and performant
3. Integration of user-facing elements developed by front-end developers with server side
4. Implementation of security and data
5. Integration of data storage solutions may include databases, key-value stores, blob stores, etc. Experience administering innovation with methodologies such as design
6. Experience working on Agile Scrum and DevOps aligned delivery
7. Interest and ability to learn other coding languages as
8. Strong communication skills and great product
9. Proficient communication skills verbal and
10. Understanding of accessibility and security compliance depending on the specific
11. Knowledge of user authentication and authorization between multiple systems, servers, and environments.
12. Understanding of fundamental design principles behind a scalable
13. Familiarity with event-driven programming in
14. Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific
15. Able to create database schemas that represent and support business
16. Strong unit test and debugging

1. Expert in Python, with knowledge of at least one Python web framework such as Django, Flask, etc depending on your technology
2. Familiarity with some ORM (Object Relational Mapper)
3. Able to integrate multiple data sources and databases into one
4. Understanding of the threading limitations of Python, and multi-process
5. Good understanding of server-side templating languages such as Jinja 2, Mako, etc depending on your technology
6. Basic understanding of front-end technologies, such as JavaScript, HTML5, and
7. Proficient understanding of code versioning tools such as Git, Mercurial or

• Lead a full product development lifecycle from ideation, design, development, to roll out and support
• Own the delivery of multiple features of the product end to end while hands-on in development as well
• Advocate best development practices such as continuous integration/continuous delivery, automation (testing and infrastructure)

1. 7+ Years’ of experience, managing teams of 5+ people
2. Must have excellent programming, debugging and scripting skills with a solid understanding of Object Oriented Design principles.
3. Proficiency in at least two of the following: Java, NodeJS, Go, JavaScript, Python programming stacks, and passion for software engineering and craftsman-like coding prowess
4. Knowledge of software practices like refactoring, clean code, domain driven design, Encapsulation etc
5. Hands on experience managing databases like MongoDB, Cassandra, Redis.
6. Exposure to event driven systems and event streaming engines like Kafka
7. Good knowledge of DevOps tooling like docker, kubernetes, ansible/chef, AWS.