Django Developer

Role & Responsibilities

We are looking for a hands-on Camunda Developer with strong experience in workflow orchestration and backend development. The ideal candidate should be able to design, build, and optimize end-to-end business processes using Camunda (preferably Camunda 8) and work closely with engineering and business teams to implement scalable and resilient workflows.

Key Responsibilities:

• Translate business requirements into BPMN workflows using Camunda (preferably Camunda 8)
• Design and implement end-to-end process orchestration across systems
• Build and manage service integrations (REST APIs, event-driven systems)
• Develop and maintain Zeebe workers / microservices (Python)
• Collaborate with stakeholders to refine workflows and handle edge cases
• Implement error handling, retries, and compensation mechanisms
• Analyse and improve workflows for scalability, reliability, and performance
• Ensure data consistency and idempotent process execution
• Work with cross-functional teams including data and analytics for process observability

Ideal Candidate

• Strong Senior Camunda Developer / Workflow Orchestration Engineer Profiles
• Mandatory (Experience 1) – Must have 4+years of hands-on experience in backend development and workflow systems, demonstrable through production-grade work on business process automation or backend service development.
• Mandatory (Experience 2) – Must have strong hands-on experience with Camunda and BPMN 2.0, including designing, building, and deploying end-to-end business process workflows in production.
• Mandatory (Experience 3) – Must have hands-on experience with Zeebe workers and the Camunda 8 stack, built and maintained as part of real orchestration systems.
• Mandatory (Experience 4) – Must have strong production-level coding skills in Python, used for building and maintaining Zeebe workers and microservices.
• Mandatory (Experience 5) – Must have experience designing and working within microservices architecture and distributed systems, with clear understanding of service decomposition, inter-service communication, and distributed system failure modes.
• Mandatory (Experience 6) – Must have hands-on experience building and consuming REST APIs and working with event-driven systems (message brokers, pub/sub, event streams).
• Mandatory (Skills) – Must have strong debugging and problem-solving skills in production workflow environments, with specific examples of resolving complex issues such as stuck processes, race conditions, or data inconsistency bugs.
• Preferred (Experience 1) – Exposure to cloud platforms (AWS / GCP / Azure) and experience with data platforms (e.g., Snowflake).
• Preferred (Experience 2) – Understanding of finance-related workflows (billing, reconciliation, etc.).

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

Responsibilities :

• Lead the development of the backend systems for our client's first product.
• Build reliable, secure, and performant backend systems.
• Drive test coverage and continuous delivery automation within the team.
• Mentor and provide feedback to teammates.
• You should have a min of 8 years of software development experience and management.
• Can write code that is readable, maintainable, secure, and performant.
• Know the importance of tests and how to approach writing different types of tests, good intuition for REST API design
• Deep understanding of relational databases, transactions, entity-relationship modeling.
• Comfortable writing highly concurrent systems.
• Experienced in using profilers, tuning garbage collection, optimizing SQL queries.

• Golang, Java, Python, Ruby, Node.

1. Develop, maintain, and enhance robust backend systems using Python3 and frameworks like Django (mandatory), Flask, and FastAPI (good to have).
2. Design, implement, and maintain highly efficient and automated continuous integration and continuous deployment (CI/CD) processes using Jenkins and configuration management with Ansible.
3. Elevate our testing culture by architecting and implementing innovative testing strategies, focusing on both unit and integration testing to ensure exceptional code quality and extensive coverage.
4. Follow peer-to-peer code reviews and cross-team collaboration to build scalable and reliable solutions.
5. Proficiently work with at least one cloud technology, preferably AWS, to deploy and manage applications in the cloud environment.
6. Possess knowledge of Nginx, load balancing, and scalability to optimize system performance and reliability.
7. Good experience working in distributed micro-service architecture and driving them with crucial requirements like request tracing, debugging critical issues, logging, monitoring, and alerting. 
8. Work in containerized environments using Docker and Docker Compose, and have experience with AWS ECS for container orchestration.
9. Prioritize maintainability and reliability in developing and maintaining software systems, pushing the boundaries of what's possible in our product ecosystem.
10. Collaborate effectively within a team, taking initiatives and driving projects forward with minimal micro-management.
11. Pave the way for maintainable and reliable codebases by introducing novel approaches and best practices in software development.

Requirements

1. Bachelor’s/Master’s degree in computer science.
2. Strong teamwork and communication skills, with a proactive approach to project management and task ownership.
3. Proven track record as an innovative Python developer with a focus on product engineering.
4. Visionary mindset to work in an agile environment, participating in sprint planning, stand-ups, and retrospectives.

Benefits

100% Remote

Insurance

• Architect new and optimize existing software codebases and systems used to crawl, launch, run, and monitor the Anakin family of app crawlers
• Deeply own the lifecycle of software, including rolling out to operations, managing configurations, maintaining and upgrading, and supporting end-users
• Configure and optimize the automated testing and deployment systems used to maintain over 1000+ crawlers across the company
• Analyze data and bugs that require in-depth investigations
• Interface directly with external customers including managing relationships and steering requirements

• Extremely effective, self-driven builder
• 2+ years of experience as a backend software engineer
• 2+ years of experience with Python
• 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
• Should have managed a team of software engineers
• Deep experience with network debugging across all OSI layers (Wireshark)
• Knowledge of networks or/and cybersecurity

• Broad understanding of the landscape of software engineering design patterns and principles
• Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
• Excellent communicator, both written and verbal

• Must be available to work extended hours and weekends when needed to meet critical deadlines
• Must have an aversion to politics and BS. Should let his/her work speak for him/her.
• Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
• Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.

• At least 2-5 years of working experience in web services, preferably in Python
• Should have built and released APIs in production
• Experience working with RDBMS and NoSQL databases
• Designing thoughtful, extensible data models
• Knowledge of identifying, defining and building micro-services
• Working knowledge of GCS, AWS, Azure or any other cloud provider
• Aggressive problem diagnosis and creative problem-solving skills
• Good communication skills - written and spoken