Sr. Developer - Python

Role: Core infrastructure for two global applications.

Key responsibilities:

Heavy Data Lifting: Designing and maintaining complex MongoDB aggregation pipelines and executing high-volume bulk updates.

Systems Connectivity: Managing the lifecycle of Bridges, WebSockets, and REST APIs for global traffic.

Global Reliability: Troubleshooting performance regressions, managing SSL/TLS certificates, and optimizing AWS S3/EC2 resources.

Core Logic: Implementing server-side push notifications, custom payment flows, and background Cron orchestration.

Requirements (Must Have)

Production Experience: Proven experience managing backend services for live, high-traffic applications. (Must have)

Note: Learning projects, bootcamps, and online courses will not be considered.

Python Mastery: Expert-level proficiency in backend Python development. (Must have)

MongoDB Expertise: Deep knowledge of Aggregations and Bulk operations. (Must have)

AWS Proficiency: Direct experience with S3 and EC2 in a production setting. (Must have)

Infrastructure Logic: Ability to manage SSL/Encryption and optimize resource allocation (Cron vs. API). (Must have)

Shortened version:

• 5+ years experience in Python with strong core concepts (OOP, data structures, exception handling, problem-solving)
• Experience with FastAPI (preferred) or Flask/Django
• Strong REST API development & authentication (JWT/OAuth)
• SQL (MySQL/PostgreSQL) & NoSQL (MongoDB/Firestore) experience
• Basic cloud knowledge (GCP or AWS)
• Git, code reviews, clean coding & performance optimization
• Good communication and teamwork skills

Responsibilities:

• Build and maintain scalable backend apps and REST APIs
• Work with databases, third-party integrations, and cloud deployments
• Write clean, testable, optimized code
• Debug, troubleshoot, and improve performance
• Collaborate with team on technical solutions

Good to have:

• GCP (BigQuery, Dataflow, Cloud Functions)
• Microservices, Redis/Kafka/RabbitMQ
• Docker, CI/CD
• Basic Pandas/Numpy for data handling

Perks & Benefits

• 5 Days Working
• Family Health Insurance
• Relaxation Area
• Affordable Lunch
• Free Snacks & Drinks
• Open Work Culture
• Competitive Salary & Benefits
• Festival Celebrations
• International Exposure Opportunities
• 20 Paid Leaves per Year
• Marriage Leave & Parental Leave Policy

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from Tier - 1 engineering institutes (IITs, BITS, are highly preferred)

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

1. 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
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Introduction:

Tyroo’s Vidtech.ai is one of the largest independent marketing automation cloud built for the video first world. We build softwares and platforms that allow our partners to derive maximum yields on their marketing spends on various video first social platforms. We work on problems that involve building high availability, low latency solutions which require computing optimal decisions using various self-created modules as well as pre-available modules popular in the ML and Big Data world.

We are looking for a back-end developer who has at least 1 years professional experience in building systems on either Python or Node.js and is able to become an anchor/pillar for the team. The role will require you to architect and develop systems/features needed for our marketing automation products. Strong leadership and mentoring skills are also necessary so that the individual can train, educate and manage junior resources.

Key Requirements:

• Must be able to tackle complex business problems by breaking it down into set of simpler problems and architect solutions for the same
• Must exhibit thought leadership and should be committed towards mentoring and team building
• Must have excellent communication skills as the individual needs to collaborate with Business and Product team
• Must be proactive towards changing software development landscape and keep upskilling
• Must be able to contribute in setting up best practices and effective design patterns in complete development lifecycle.

Technical Requirements:

• Must have 1+ years’ experience in developing scalable systems on Python/Node.js with strong grasp on microservices and serverless architectural patterns
• Must have prior experience with databases like MySQL, Elasticsearch, MongoDB, Redis
• Must be exposed to cloud platforms like AWS or GCP and containerization using Dockers
• Must have worked with RESTful APIs and WebSockets
• Must have deep understanding of HTTP, web browsers and token-based authentication/authorization (OAuth, JWT)
• Must be experienced on Version Control Tools (Git) and Package Managers (npm, yarn, pip)
• Must adhere to coding standards and have the habit of doing unit testing along with regular and rigorous code reviews
• Should know about microservices orchestration using Kubernetes, web servers like Nginx/Apache and queuing systems like Kafka/Kinesis

Job Brief

Primary Responsibilities:

• Obtaining in-depth understanding of design and implementation of existing software product
• Performing all phases of software engineering including requirements analysis, design, estimation, and development & testing
• Applying innovation and creativity in design and implementation of features
• Designing reusable components, frameworks and libraries
• Troubleshooting production support issues post-deployment and come up with solutions as required
• Follow the processes defined by the project manager and the organization

General Requirements

• 2+ years of experience in full-stack development in python based technologies.
• Experienced in relational database technologies
• Good in data structures and algorithms
• Good written and verbal communication skills
• Self motivated and willing to learn new technologies
• Experience in AWS cloud technologies is plus

Technologies

• Python, Django
• Angular
• JavaScript, HTML, CSS  technologies
• Must understand AJAX and REST

• Understands detailed requirements and demonstrates excellent problem solving skills
• Deep understanding of software engineering practices, Design Patterns, Data Structures, Algorithms
• Excellent programming skills in ROR, Golang, NodeJS, Python or Java
• Strong communication skills
• Strong sense of ownership, drive and ability to deliver results
• 2+ years of experience in product driven organization