Sr Python Developer

Exp: 7- 10 Years

CTC: up to 35 LPA

Skills:

• 6–10 years DevOps / SRE / Cloud Infrastructure experience
• Expert-level Kubernetes (networking, security, scaling, controllers)
• Terraform Infrastructure-as-Code mastery
• Hands-on Kafka production experience
• AWS cloud architecture and networking expertise
• Strong scripting in Python, Go, or Bash
• GitOps and CI/CD tooling experience

Key Responsibilities:

• Design highly available, secure cloud infrastructure supporting distributed microservices at scale
• Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
• Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
• Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
• Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
• Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
• Ensure production-ready disaster recovery and business continuity testing

If interested Kindly share your updated resume at 82008 31681

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.

What kind of work will you get?

We are looking for a Nodejs 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 nodejs with 2+ years of professional experience

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

Familiar with HTTP networking in nodejs

Strong understanding of async and sync modes in nodejs

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

Role Summary: Back-end Developer who would contribute towards building a highly flexible and scalable Back- end by bringing deep core technology expertise.

Job Description:

- Develop modules keeping micro services architecture philosophies in check. - Implement and/or oversee implementation of different modules as part of an integrated development team. - Drive evolution of application performance. - Ensure project scalability by having good project architecture

Skill Requirements:

- Strong Node.js. - Strong database technology skillsets, namely MongoDB, MySQL

- Should have experience of using Rabbit MQ.

- Python (Django) skills are a plus. - A skilled and pragmatic approach.

- Experience with user-centred design, test-driven development, iterative/incremental and agile practices. - Experience with AWS deployment a definite plus.

Individual applying to the role should ideally have the following attributes.

-Passionate about back-end Development and continually follow the platform & innovations

-Strong and innovative approach to problem solving and finding solutions

- Excellent communicator (written and verbal, formal and informal)

- Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution

- Ability to multi-task under pressure and work independently with minimal supervision.

- Ability to prioritize when under pressure.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Years of Experience:- 1.5+

Qualification:- BE Computer Engineering/MCA

Industry:- Software
Location:- Andheri

Type: Individual contributor with good hands on proficiency. 

Must have

• Strong proficiency in at least one of  Java, Ruby, Python
• Exposure to databases: any of  PostgreSQL, MySQL, Apache Cassandra
• Any NoSQL database experience is a plus
• Exposure to AWS cloud infrastructure: EC2 or S3 
• Proficiency with Git
• MUST: Using REST to make API calls. 

Great to have: 

• Experience working with one or more middleware, enterprise bus, queueing frameworks
• Any of Memcached/Redis, Apache Kafka / RabbitMQ / PubSub+ / AmazonMQ

Soft skills:

• Appreciation for clean and well documented code

What will you do at Tradyl:

(Examples for illustration only)

• Build a shipping service module that is called by our website to query shipping rates from India to a destination country. Configure this to so that an Ops person can update shipping costs as and when they change. Own deployment and monitoring of this service. 
• Use Zapier to build a workflow to export a MixPanel report into a Google sheet every day.
• Change our supplier portal (built on bubble.io) to make an API call to our customer facing site, whenever a supplier modifies his profile.
• Write an alert mechanism that identifies catalogues with insufficient information and makes them non discoverable, which can run every day.
• Work with Business Team to design a workflow for product inwarding using Airtable. Write a small app within Airtable so that whenever a product is updated as “shipped” in airtable, it updates the customer facing website.
• Use an open source dashboarding framework to create a quick dashboard to track important business events.