Technical architect

Job Description

Roles and Responsibilities

· Design, Code, test, debug, implement and document complex WSO2 sequences.

· Monitoring and logging tool stacks - Splunk/ELK/Prometheus, Grafana 4 Design, Code, test, debug, implement and document complex WSO2 sequences.

· Perform Build activities for WSO2 ESB Middleware integration, involves writing XSLT, ESB coding, configuration, and Analysis activities.

· Trouble shooting various problems in different stages of development using logs files, Traces and Log Analyzer.

· Responsible for understanding the requirement, solution design, coordinate the development and testing activities (end to end)

· Guide the team regarding WSO2 platform best practices, framework, reusable artefacts and ensure code quality and timely deliverables.

· Work with functional and technical customers to determine solutions that drive additional business value.

· Work with Github, Azure Devops and CI tools to automate dev, build, deployment and testing.

· Good knowledge in messaging brokers: WSO2 Message Broker, Apache Kafka.

· Monitoring the server (Monitoring logs and WSO2 metrics).

· Desired Candidate Profile

Desired Candidate Profile

· Candidate must have minimum 2+ years of hands-on experience in WSO2, preferably with WSO2 certification.

· Extensive experience in Integration by using WSO2 Product Stack (API Manager 2.6/3.x, Enterprise Integrator 6.5 and Identity Server 5.7.0)

· Experience in Implementing APIs in WSO2 EI and On-boarding APIs into WSO2 API Manager

· Experience in WSO2 API Manager for designing API facades and designing and implementing API Proxies.

· Hands-on experience in designing and developing high volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML).

· Must have hands on experience / knowledge with CI tools to automate dev, build, deploy.

· Experience in programming languages: Java, JavaScript, Python

· Experience in on boarding web applications into WSO2 Identity Server for authentication and authorizatio

Qualifications

• Minimum of a Bachelor's or Master’s degree in Computer Science, or a related four-year degree.

• 4 years of hands on experience in Integration

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python  & Django

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

What kind of work will you get?

We are looking for a Python developer.

Examples of technical tasks:

Working on our backend SDK to implement APIs that will be consumed by the frontend widgets

Designing APIs for different auth recipes

Architecting auth flows

You will also be given non technical tasks like product brain storming, competitor analysis and writing documentation.

Note: Compensation is as per the applicant's geography

Requirements

Well versed in Python with 2+ years of professional experience

Familiar with and comfortable working with Web frameworks like FastAPI, Django and Flask

Familiar with HTTP networking in Python

Strong understanding of async and sync modes in Python

Bonus:

Contributed to open source, or have your own open source repo with a community and many github stars

Built an in-house authentication or authorization solution or worked with solutions such as Keycloak, Auth0, Ory, Okta etc

What you’ll be doing

 Weare much more than our job descriptions, but here is where you will begin:

 As a Senior Software Engineer Data & ML You’ll Be:

 ● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend

 services. You build it, you own it.

 ● Work with people from other teams and departments on a day to day basis to ensure

 efficient project execution with a focus on delivering value to our members.

 ● Regularly aligning your team’s vision and roadmap with the target architecture within your

 domain and to ensure the success of complex multi domain initiatives.

 ● Integrate already trained ML and GenAI models (preferably GCP in services.

ROLE:

 Whatyou’ll need,

 Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

 What Makes You a Great Fit

 ● 5 years of proven work experience as a Backend Python Engineer

 ● Understanding of software engineering fundamentals OOPS, SOLID, etc.)

 ● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

 Lang chain/LLamaIndex etc.

 ● Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being

 proficient in Python

 ● Hands-on Experience with frameworks such as Django or FastAPI or Flask

 ● Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

 ● Extensive experience integrating with or creating REST APIs

 ● Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

 ● Experience with event-driven architectures like Kafka, RabbitMq or equivalents.

 ● Knowledge about:

 o LLMs

 o Vector stores/databases

 o PromptEngineering

 o Embeddings and their implementations

 ● Somehands-onexperience in implementations of the above ML/AI will be preferred

 ● Experience with GCP/AWS services.

 ● You are curious about and motivated by the future trends in data, AI/ML, analytics

Requirements:

• Expert in Python, with good knowledge in Django technology.
• Able to integrate multiple data sources and databases into one system.
• Understanding of the threading limitations of Python, and multi-process architecture.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments.
• Experience in Flask will be an add-on
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python.
• Able to create database schemas that represent and support business processes.
• Proficient understanding of code versioning tools.
• Good communication skills.

Architectural:

Design and implement a software architecture

Select a technology stack

Design and configure infrastructure

Select a development toolkit (IDE, etc.)

Design and implement a database design

Improve and optimise the application architecture

Ensure scalability of the application

Ensure scalability of the infrastructure

Explore new technologies and decide whether to implement them

Strategy, planning, and design:

• Take end-to-end ownership of the product, identify technology requirements, define the future product vision, create preliminary design concepts for add-on modules and shape overall technology and product roadmap by collaborating with the founders, business development, and marketing team.
• Ensure user oriented design is the primary approach to product development across multiple screens, based on user behaviour data and direct customer feedback.

Implementation and deployment:

• Manage Product Release, QA cycles, feature implementation and on time delivery through in-house team and vendors.
• Collaborate with team and customers to define use cases.
• Creation of wireframes/prototypes, site maps and user-flows for web and mobile platforms.

Operational management :

• Support marketing by implementing technical requirements for SEO/product analytics.
• Establish and supervise a quality assurance process, including integration & system testing.
• Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed.
• Establish and forecast ROI of features and succinctly articulate competitive advantage.
• Set-up data collection and analysis system in collaboration with CEO to track key performance.

metrics.

Strong fundamentals in computer science/engineering and algorithm design.

Practical knowledge of computer software algorithms in machine/deep learning, NLP, Computer Vision etc.

Personal Requirements:

• Min of 7+ years of Hands on experience in Web app development, payment gateways implementation, architecture design, product management, databases and UI/UX in consumer facing applications.
• Experience on projects involving engineering and algorithmic functions, machine learning, deep learning and artificial intelligence is very advantageous.
• Creative self-starter who is comfortable with both taking initiative and working in teams.
• Strong communication skills.
• Willingness to learn and utilise emerging technologies.
• Sincere passion to use disruptive technologies that can be globally significant