Sales Manager

🔹 Role: Python Engineer – Python & MLOps

📍 Location: Bellandur, Bangalore

🕐 Work Timings: 01:30 PM – 10:30 PM

🏢 Work Mode: Monday (WFH), Tuesday–Friday (WFO)

📅 Experience: 8-12 Years (Ideal: 8-10 Years)

🔹 Role Overview

This role focuses on building and maintaining a production-grade AI/ML platform. You will work on scalable Python systems, MLOps pipelines, APIs, and CI/CD workflows in an enterprise environment.

🔹 Key Responsibilities

✔ Develop production-grade Python applications using OOP principles

✔ Build and enhance MLOps pipelines (training, validation, deployment)

✔ Design and optimize REST APIs with OpenAI/Swagger

✔ Implement async programming for high-performance systems

✔ Work on CI/CD pipelines (Azure Pipelines / GitHub Actions)

✔ Ensure clean, testable, and maintainable code (PyTest, TDD)

🔹 Required Skills

✔ Strong Python (OOP, modular design)

✔ MLOps & CI/CD pipeline experience

✔ REST API development

✔ Async programming (async/await, concurrency)

✔ Pandas / Polars & Scikit-learn

✔ JSON Schema–driven development

✔ Testing using PyTest

🔹 Nice to Have

➕ Azure ML SDK

➕ Pydantic

➕ Azure Cosmos DB

➕ Experience with large enterprise platforms

Job Overview:

We are seeking a skilled Senior Python Full Stack Developer with a strong background in application architecture and design. The ideal candidate will be proficient in Python, with extensive experience in web frameworks such as Django or Flask along with front-end technologies like HTML, CSS and JavaScript. You'll play a key role in designing scalable applications, collaborating with cross-functional teams, and leveraging cloud technologies.

Key Responsibilities:

• Design, develop, and maintain robust web applications using Python and frameworks like Django or Flask.
• Collaborate with product managers and designers to define application architecture and ensure scalability and performance.
• Implement responsive user interfaces using HTML, CSS, and JavaScript.
• Utilize AWS cloud services to deploy and manage applications effectively.
• Containerize applications using Docker and orchestrate them with Kubernetes.
• Ensure seamless communication with databases, optimizing queries and data models as necessary.
• Write clean, maintainable, and efficient code, adhering to best practices.
• Conduct code reviews and mentor junior developers.
• Troubleshoot and resolve application issues in a timely manner.
• Stay updated with emerging technologies and industry trends.

Qualifications:

• Proven experience in Python development (5+ years preferred).
• Strong application architecture and design skills.
• Proficiency in Django or Flask frameworks.
• Hands-on experience in front-end technologies: HTML, CSS, and JavaScript.
• Hands-on experience with AWS cloud services (EC2, S3, RDS, etc.).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficiency of database communication, including SQL and NoSQL databases.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
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NOTE: IT IS MANDATORY TO GIVE ONE TECHNICHAL ROUND FACE TO FACE.

Immediate Joiners Preferred. Notice Period - Immediate to 30 days.

Overview

adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are seeking a skilled Full Stack (FSE) Developer with expertise in Java, Spring Boot development to join our dynamic team. In this role, you will be responsible for development of critical banking application across various business domains. You will collaborate closely with cross-functional teams to ensure high-quality solutions are developed, maintained, and continuously improved.

Responsibilities:

Development of business-critical banking applications.

Develop new features for banking applications using FSE technologies.

Ensure code quality through proper testing, reviews, and adherence to coding standards.

Collaborate with design, backend, and other teams to deliver seamless user experiences.

Troubleshoot, debug, and optimize performance issues.

Participate in agile development processes and contribute to continuous improvement initiatives.

Requirements:

Bachelors/Masters degree in computer science, Software Engineering, or a related field.

4 – 6 years of relevant experience in application development.

Solid experience in:

Java, Spring Boot.

APIs / REST.

Kubernetes / OpenShift. 

Azure DevOps.

JMS, Message Queues.

Nice to have knowledge in: 

Quarkus.

Apache Camel.

Soft skills / Personality:

Excellent English communication skills / proactive communication.

Candidate needs to have Self-dependent working style.

Candidate needs to have problem solving skills (Strong analytical skills to identify and solve complex issues).

Candidate needs to show high Adaptability (Flexibility in adjusting to different working environments and practices).

Candidate needs to be quick in Critical thinking (Evaluating information and making informed decisions).

Candidate needs to have Team collaboration (Ability to work collaboratively with a distributed team) character.

Candidate needs to have Cultural awareness ability.

Candidate needs to be Initiative (Proactively seeking solutions and improvements).

Good to have knowledge about Co Banking systems.

Good to have Banking domain knowledge.

Experience in customer facing is an advantage.

Skills & Requirements

Java, Spring Boot, APIs/REST, Kubernetes, OpenShift, Azure DevOps, JMS, Message Queues, Quarkus, Apache Camel, Excellent English communication, Proactive communication, Self-dependent working, Problem-solving, Analytical skills, Adaptability, Critical thinking, Team collaboration, Cultural awareness, Initiative, Co-banking systems knowledge, Banking domain knowledge, Customer-facing experience.

Responsibilities:

- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.

- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.

- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.

- Implement data migration and transformation tasks between different data sources.

- Write efficient and reusable code, following best practices and coding standards.

- Conduct thorough testing and debugging of applications to identify and fix issues promptly.

- Collaborate with DevOps team to deploy applications on servers or cloud platforms.

- Continuously monitor application performance and optimize it for scalability and reliability.

- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.

Requirements:

- Strong proficiency in Node.js and JavaScript.

- Solid understanding of server-side development and asynchronous programming concepts.

- Experience working with NoSQL databases (e.g., MongoDB).

- Knowledge of database design and query optimization techniques.

- Familiarity with web application security principles and best practices.

- Proficiency in using version control systems (e.g., Git).

- Good understanding of agile development methodologies.

- Excellent problem-solving and analytical skills.

- Effective communication and collaboration abilities.

Lead Data Engineer

Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.

Job responsibilities

·      You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems

·      You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges

·      You will collaborate with Data Scientists in order to design scalable implementations of their models

·      You will pair to write clean and iterative code based on TDD

·      Leverage various continuous delivery practices to deploy, support and operate data pipelines

·      Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available

·      Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

·      Create data models and speak to the tradeoffs of different modeling approaches

·      On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product

·      Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process

·      Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes

Job qualifications Technical skills

·      You are equally happy coding and leading a team to implement a solution

·      You have a track record of innovation and expertise in Data Engineering

·      You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations

·      You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop

·      You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting

·      Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions

·      You are comfortable taking data-driven approaches and applying data security strategy to solve business problems

·      You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments

·      Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems

Professional skills

·      Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers

·      You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives

·      An interest in coaching others, sharing your experience and knowledge with teammates

·      You enjoy influencing others and always advocate for technical excellence while being open to change when needed

• responsible for building .NET applications.
• WEB-API OR MVC with C# is a must.
• Hands-on SQL Server with Expertise in complex Procedures and SQL Performance Optimizations.
• Being good with Front End, React or Angular will be a plus but not Mandatory.
• Knowledge of Javascript, Jquery Ajax.
• In-depth understanding of Agile, Scrum and Kanban