Senior Software Engineer

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon Sector - 48

Working Days : 6 Days WFO (Monday to Saturday)

Job Summary :

We are looking for a skilled Python Django Developer with strong foundational knowledge in backend development, data structures, and operating system concepts.

The ideal candidate should have experience in Django and PostgreSQL, along with excellent logical thinking and multithreading knowledge.

Main Technical Skills : Python, Django (or Flask), PostgreSQL/MySQL, SQL & NoSQL ORM, Microservice Architecture, Third-party API integrations (e.g., payment gateways, SMS/email APIs), REST API development, JSON/XML, strong knowledge of data structures, multithreading, and OS concepts.

Key Responsibilities :

• Write efficient, reusable, testable, and scalable code using the Django framework
• Develop backend components, server-side logic, and statistical models
• Design and implement high-availability, low-latency applications with robust data protection and security
• Contribute to the development of highly responsive web applications
• Collaborate with cross-functional teams on system design and integration

Mandatory Skills :

• Strong programming skills in Python and Django (or similar frameworks like Flask).
• Proficiency with PostgreSQL / MySQL and experience in writing complex queries.
• Strong understanding of SQL and NoSQL ORM.
• Solid grasp of data structures, multithreading, and operating system concepts.
• Experience with RESTful API development and implementation of API security.
• Knowledge of JSON/XML and their use in data exchange.

Good-to-Have Skills :

• Experience with Redis, MQTT, and message queues like RabbitMQ or Kafka.
• Understanding of microservice architecture and third-party API integrations (e.g., payment gateways, SMS/email APIs).
• Familiarity with MongoDB and other NoSQL databases.
• Exposure to data science libraries such as Pandas, NumPy, Scikit-learn.
• Knowledge in building and integrating statistical learning models.

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.

1. What You’ll Do :

• Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
• Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks). 
• Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
• Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
• Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
• Dev Environments: Set up and manage developer and staging environments across teams.
• Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
• Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.

Must-Haves :

• 5+ years of experience in backend development and cloud infrastructure.
• Strong expertise in Node.js (TypeScript) and/or Python.
• Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
• Deep understanding of cloud platforms, preferably GCP and Firebase.
• Hands-on experience with CI/CD, DevOps tools, and automation.
• Solid knowledge of distributed systems and performance tuning.
• Experience setting up and managing development & staging environments. 

• Proficiency in English and remote communication.

Good to have :

• Event-driven architecture experience (e.g., Pub/Sub, MQTT).
• Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
• Previous work on large-scale SaaS products.
• Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
• Experience with edge computing on Nvidia Jetson devices.

What We Offer :

• Competitive salary for the Indian market (depending on experience).
• Remote-first culture with async-friendly communication.
• Autonomy and responsibility from day one.
• A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
• A mission-driven company tackling real-world environmental challenges. 

JOB DESCRIPTION:

Location: mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 7 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains.

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 top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Mandatory skills

• 5+ years of software development experience in Java 8+ and Microservices.
• Experience in developing micro services. Experience in developing High Cohesion & Loosely Coupled Micro Services.
• Experienced in skills of requirement, analysis, design, develop, Java, springboot, microservices, rest api, AWS, lambda, EC2, Jenkins, design pattern, spring security, splunk, auth, docker, SOLID
• Hands on experience on Microservices Architecture.
• Should have excellent acumen in Data Structures, algorithms, problem-solving and Logical/Analytical skills. Thorough understanding of OOPS concepts, Design principles and implementation of different type of Design patterns.
• Experience with Multithreading, Concurrent Package and Concurrent APIs
• Basic understanding of Java Memory Management (JMM) including garbage collections concepts.
• Experience in RDBMS or NO SQL databases and writing SQL queries (Joins, group by, aggregate functions, etc.)
• Hands-on experience with Message Broker like Kafka/Rabbitmq or other. Hands-on experience in creating RESTful webservices and consuming web services. Hands-on experience with spring Cloud/Spring Boot.
• Hands-on experience with any of the logging frameworks (SLF4J/LogBack/Log4j)
• Experience of writing Junit test cases using Mockito / Powermock frameworks. Should have practical experience with Maven/Gradle and knowledge of version control systems like Git/SVN etc.
• Hands on experience on Cloud deployment/development like AWS/Azure/GCP.
• Good communication skills and ability to work with global teams to define and deliver on projects. Sound understanding/experience in software development process, test-driven development.

• Gender Neutral /Diversified Culture
• 51 Leaves annually
• Insurance covered for family
• Incentives, Bonus
• Permanent WFH Option
• Generous parental leave and new parent transition program
• Flexible work arrangements

Java Full Stack Developer

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure Services Company, headquartered in San Jose, California, USA. It provides the full stack managed services to support the business applications and data infrastructure 

We are looking for a Java Full Stack Developer who has the expertise and deep knowledge of frameworks and tools used in java and who works end to end on the application stack, right from developing the front end, the back-end module & the database.

It's a once-in-a-lifetime opportunity to join our start-up run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges

Key Responsibilities

· Ability to write high-quality code efficiently

· Design and develop new services or micro-services.

· Participate in planning and management of development process.

· Share architectural design vision with both technical and non-technical team members, including fellow engineers.

· Works on improvements in development toolset including testing frameworks, deployment scripts, and monitoring libraries.

· Experience solving complex problems and implementing solutions for performance and scalability.

· Write clean, well-structured and maintainable code with automated test coverage and corresponding documentation.

· Explore new latest relevant technology, techniques, frameworks, tools, methodologies, and processes.

· Comfortable working with all aspects of software development; including DevOps, quality assurance, research, and design.

Key Requirements

· 3+ years of experience working with Core Java, Spring framework & Spring Boot, Hibernate, Spring Data JPA.

· Knowledge of microservices architecture is mandatory.

· Must have worked on Java Multi-threading & Java NIO.

· At least 1-year of experience with front-end technologies like Angular, React, Vue.js applications.

· Exposure to any of relation database technologies MySQL, Postgres, Oracle, or any No-SQL database.

· Strong knowledge of Web APIs.

· Experience with agile application development.

· Having knowledge of O Auth 2.0 JWT is a plus.

· Proficiency in one or more modern programming languages i. e. Java or J2EE, Python, Go, React.

· Experience in Cloud Technologies including AWS, containers, and Kubernetes.

· Demonstrated experience in performing DevOps for platforms.

· Strong Skill sets in Data Structures & Algorithm in using efficient way of code complexity.

· Passion for learning new technologies and the ability to do so quickly

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