50+ Python Jobs in India

Role Overview

We are looking for a QA Automation Engineer who can leverage AI-driven testing approaches to improve automation coverage, test reliability, and data generation.

The ideal candidate should have strong experience in backend-heavy automation testing, modern automation frameworks, and using AI tools to generate test cases, maintain test scripts, and create synthetic data for testing.

Key Responsibilities

• Design and develop automated test frameworks for backend and API-heavy applications.
• Use AI tools to generate test scripts from requirements (e.g., Gherkin/Cucumber-based test generation).
• Implement and maintain self-healing test automation frameworks that adapt to UI changes.
• Develop automated tests using Playwright, Appium, and other modern automation tools.
• Create synthetic test data using AI while ensuring PII compliance.
• Perform backend stress testing and API validation.
• Work closely with engineering teams to ensure product quality and release readiness.
• Continuously improve test coverage, test reliability, and automation efficiency.

Must-Have Skills

• 4+ years of experience in QA Automation
• Strong experience in automation testing frameworks
• Hands-on experience with Playwright for web automation
• Experience with Appium for mobile automation
• Proficiency in Python for test scripting and data generation
• Experience writing BDD-style test cases (Gherkin / Cucumber)
• Experience in API testing and backend automation
• Familiarity with AI-assisted test generation tools
• Strong knowledge of CI/CD pipelines and automated testing workflows

Relevant Skills

• Backend automation testing
• Test automation frameworks design
• AI-assisted test generation
• Synthetic test data generation
• Performance and stress testing
• API testing tools (Postman, REST clients)
• Test reporting and debugging
• Version control using Git

AI & Automation Expertise

• Using AI tools to generate test cases from requirements
• Experience with self-healing test automation frameworks such as Mabl or Testim
• Using AI to generate synthetic financial datasets for testing
• Testing AI-powered applications or AI features

Tools & Technologies

• Playwright
• Appium
• Python
• Cucumber / Gherkin
• CI/CD tools
• Git

Strong Plus

• Experience working in the Finance / FinTech sector
• Experience testing AI-powered applications
• Experience working closely with AI engineering teams

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

The Software Engineer – SRE will be responsible for building and maintaining highly reliable, scalable, and secure infrastructure that powers the Albert platform. This role focuses on automation, observability, and operational excellence to ensure seamless deployment, performance, and reliability of core platform services.

Responsibilities

• Act as a passionate representative of the Albert product and brand.
• Work closely with Product Engineering and other stakeholders to plan and deliver core platform capabilities that enable scalability, reliability, and developer productivity.
• Work with the Site Reliability Engineering (SRE) team on shared full-stack ownership of a collection of services and/or technology areas.
• Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of all microservices.
• Be responsible for the design and delivery of the mission-critical stack with a focus on security, resiliency, scale, and performance.
• Own end-to-end performance and operability.
• Demonstrate a clear understanding of automation and orchestration principles.
• Act as the escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs).
• Use a deep understanding of service topology and dependencies to troubleshoot issues and define mitigations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 1+ years of software engineering experience, with at least 1 year in an SRE role focused on automation.
• Strong experience with Infrastructure as Code (IaC), preferably using Terraform.
• Strong expertise in Python or Node.js, including designing RESTful APIs and microservices architecture.
• Strong expertise in cloud infrastructure (AWS) and platform technologies including microservices, APIs, and distributed systems.
• Hands-on experience with observability stacks including centralized log management, metrics, and tracing.
• Familiarity with CI/CD tools such as CircleCI and performance testing using K6.
• Passion for bringing more automation and engineering standards to organizations.
• Experience building high-performance APIs with low latency (<200 ms).
• Ability to work in a fast-paced environment and collaborate with peers and leaders.
• Ability to lead technically, mentor engineers, and contribute to hiring and team growth.

Good to Have

• Experience with Kubernetes and container orchestration.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
• Experience building internal developer platforms (IDPs) or reusable engineering frameworks.
• Exposure to ML infrastructure or data engineering workflows.
• Experience working in compliance-heavy environments (SOC2, HIPAA, etc.).

About Albert Invent

Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, helping bring better products to market faster.

Why Join Albert Invent

• Work with a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science.
• Collaborate with world-class scientists and technologists to redefine how new materials are discovered and developed.
• Culture built on curiosity, collaboration, ownership, and continuous learning.
• Opportunity to build cutting-edge AI tools that accelerate real-world R&D and solve global challenges such as sustainability and advanced manufacturing.

• Mandatory Skills:
• Python (min 4yrs)
• React.js (min 4yrs)
• Django, Fast API (min 4yrs)
• Solid understanding of RESTful APIs and backend-frontend integration
• PostgreSQ/ MySQL/MongoDB

We are looking for passionate and motivated Developers to join our growing technical team. The ideal candidate should have strong foundational knowledge in Python/Django or React with Django and be eager to work on real-time web development projects.

Open Positions:

Python Django Developer

React + Django Developer

Key Responsibilities:

• Develop, test, and maintain scalable web applications.
• Write clean, efficient, and reusable code using Django and/or React.
• Collaborate with UI/UX designers and backend developers to implement new features.
• Debug, troubleshoot, and optimize application performance.
• Participate in code reviews and contribute to team discussions.
• Stay updated with the latest web development trends and technologies.

Requirements:

• Basic to strong knowledge of Python and Django framework.
• Familiarity with React.js (for React + Django role).
• Understanding of REST APIs and database concepts.
• Knowledge of HTML, CSS, and JavaScript.
• Strong problem-solving and logical thinking skills.
• Good communication and teamwork abilities.
• Freshers and career restart candidates are welcome to apply.

More Info:

Company: Altos Technologies

Website: www.altostechnologies.in

Job Type: Permanent Job

Industry: IT / Web Development

Function: Software Development

Employment Type: Full-time

Location: Kochi & Chennai

We're hiring a Python Developer in Jaipur.

Not looking for someone who can recite design patterns. Looking for someone who can open a Django codebase, figure out what's broken,

 and fix it by end of day. 3-4 years. Django / Flask / FastAPI. REST APIs. PostgreSQL. If you've maintained production code (not just built tutorial projects) — this is your role.

Full-time | Jaipur | Industry-standard pay | Small team = real ownership

Job Title: Python Backend / GenAI Engineer (4+ Years)

Job Summary:

Looking for a Python Backend Engineer with experience in Generative AI, LangGraph workflows, data engineering, and AI evaluation using Arize AI.

Responsibilities

* Develop backend APIs using Python (FastAPI / Flask / Django)

* Build Generative AI and RAG-based applications

* Design LangGraph / agent workflows

* Create data engineering pipelines (ETL, data processing)

* Implement LLM monitoring and evaluation using Arize AI

* Integrate vector databases and AI services

* Maintain scalable and production-ready backend systems

Required Skills

* 4+ years of Python backend development

* Experience in Generative AI / LLM applications

* Knowledge of LangGraph / LangChain

* Experience in data engineering pipelines

* Familiarity with Arize AI or model evaluation tools

* Understanding of REST APIs, databases, Docker

Good to Have

* Cloud platforms (Azure / AWS )

* Vector databases (FAISS, Pinecone, Azure AI Search)

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:

We are looking for a skilled Backend Developer with 2–5 years of experience in software development, specializing in Python and/or Golang. If you have strong programming skills, enjoy solving problems, and want to work on secure and scalable systems, we'd love to hear from you!

Location - Pune, Baner.

Interview Rounds - In Office

Key Responsibilities:

Design, build, and maintain efficient, reusable, and reliable backend services using Python and/or Golang

Develop and maintain clean and scalable code following best practices

Apply Object-Oriented Programming (OOP) concepts in real-world development

Collaborate with front-end developers, QA, and other team members to deliver high-quality features

Debug, optimize, and improve existing systems and codebase

Participate in code reviews and team discussions

Work in an Agile/Scrum development environment

Required Skills: Strong experience in Python or Golang (working knowledge of both is a plus)

Good understanding of OOP principles

Familiarity with RESTful APIs and back-end frameworks

Experience with databases (SQL or NoSQL)

Excellent problem-solving and debugging skills

Strong communication and teamwork abilities

Good to Have:

Prior experience in the security industry

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of Docker, Kubernetes, or CI/CD tools

Role Overview

We are looking for a Senior Data Quality Engineer who is passionate about building reliable and scalable data platforms. In this role, you will ensure high-quality, trustworthy data across pipelines and analytics systems by designing robust data ingestion frameworks, implementing data quality checks, and optimizing data transformations.

You will work closely with data engineers, analytics teams, and product stakeholders to ensure data accuracy, consistency, and reliability across the organization.

Key Responsibilities

• Cleanse, normalize, and enhance data quality across operational systems and new data sources flowing through the data platform.
• Design, build, monitor, and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Develop and optimize data models, tables, and transformations in Snowflake.
• Build and maintain data ingestion workflows, including API integrations, file ingestion, and database connectors.
• Ensure data reliability, integrity, and performance across pipelines.
• Perform comprehensive data profiling to understand data structures, detect anomalies, and resolve inconsistencies.
• Implement data quality validation frameworks and automated checks across pipelines.
• Use data integration and data quality tools such as Deequ, Great Expectations (GX), Splink, Fivetran, Workato, Informatica, etc., to onboard new data sources.
• Troubleshoot pipeline failures and implement data monitoring and alerting mechanisms.
• Collaborate with engineering, analytics, and product teams in an Agile development environment.

Required Technical Skills

Core Technologies

• Strong hands-on experience with SQL
• Python for data transformation and pipeline development
• Workflow orchestration using Apache Airflow
• Experience working with Snowflake data warehouse

Data Engineering Expertise

• Strong understanding of ETL / ELT pipeline design
• Data profiling and data quality validation techniques
• Experience building data ingestion pipelines from APIs, files, and databases
• Data modeling and schema design

Tools & Platforms

• Data Quality Tools: Deequ, Great Expectations (GX), Splink
• Data Integration Tools: Fivetran, Workato, Informatica
• Cloud Platforms: AWS (preferred)
• Version Control & DevOps: Git, CI/CD pipelines

Qualifications

• 5–8 years of experience in Data Quality Engineering / Data Engineering
• Strong expertise in SQL, Python, Airflow, and Snowflake
• Experience working with large-scale datasets and distributed data systems
• Solid understanding of data engineering best practices across the development lifecycle
• Experience working in Agile environments (Scrum, sprint planning, etc.)
• Strong analytical and problem-solving skills

What We Look For

• Passion for data accuracy, reliability, and governance
• Ability to identify and resolve complex data issues
• Strong collaboration skills across data, engineering, and analytics teams
• Ownership mindset and attention to data integrity and performance

Why Join Us

• Opportunity to work on modern data platforms and large-scale datasets
• Collaborate with high-performing data and engineering teams
• Exposure to cloud data architecture and modern data tools
• Competitive compensation and strong career growth opportunities

Role Overview

We are looking for a highly skilled Senior Full Stack Developer with strong expertise in modern backend technologies and scalable web application development. The ideal candidate is passionate about building high-performance applications, robust APIs, and scalable systems while collaborating with cross-functional teams to deliver impactful solutions.

This role requires a developer who can work as an individual contributor, solve complex technical challenges, and build products that create real business impact.

Key Responsibilities

• Design, develop, and maintain scalable full-stack web applications
• Build and optimize robust backend services and RESTful APIs
• Develop high-performance applications using Node.js and FastAPI
• Collaborate with product managers, designers, and engineering teams to deliver end-to-end solutions
• Ensure application performance, security, scalability, and reliability
• Write clean, maintainable, and well-tested code
• Participate in architecture discussions and code reviews
• Troubleshot complex production issues and provided effective technical solutions
• Follow modern development practices, coding standards, and CI/CD processes

Technical Skills

Core Technologies

• JavaScript – Advanced proficiency
• TypeScript – Strong hands-on experience
• Node.js – Strong backend development expertise
• Python (FastAPI) – API development and integration

Additional Skills (Good to Have)

• Experience with modern frontend frameworks such as React / Angular / Vue
• Experience with REST API design and microservices architecture
• Knowledge of cloud platforms (AWS / Azure / GCP)
• Experience with Docker, CI/CD pipelines
• Familiarity with databases such as PostgreSQL, MySQL, or MongoDB

Required Qualifications

• 5–8 years of experience in full-stack development
• Proven experience building scalable web applications and APIs
• Strong problem-solving and analytical skills
• Experience working in Agile development environments
• Ability to work independently and deliver high-quality solutions

What We Look For

• Passion for clean code and scalable architecture
• Strong ownership mindset
• Ability to solve complex technical challenges
• Excellent communication and collaboration skills

If you are good at writing complex queries, very good at python, and good at debugging, very good at understanding complex systems and can swim through logs to find the dropping point, and have been on the firefighting side to address bugs in live production systems, send your resume

Position Title : Senior Data Engineer(Founding Member) - Insurtech StartUp

Location : Hyderabad(Onsite)

Immediate to 15 days Joiners

Experience : 5+ to 13 Years

Role Summary

We are looking for a Senior Data Engineer who will play a foundational role in:

• Client onboarding from a data perspective
• Understanding complex insurance data flows
• Designing secure, scalable ingestion pipelines
• Establishing strong data modeling and governance standards

This role sits at the intersection of technology, data architecture, security, and business onboarding.

.

Key Responsibilities

• Lead end-to-end data onboarding for new clients and partners, working closely with business and product teams to understand client systems, data formats, and migration constraints
• Define and implement data ingestion strategies supporting multiple sources and formats, including CSV, XML, JSON files, and API-based integrations
• Design, build, and operate robust, scalable ETL/ELT pipelines, supporting both batch and near-real-time data processing
• Handle complex insurance-domain data including Contracts, Claims, Reserves, Cancellations, and Refunds
• Architect ingestion pipelines with security-by-design principles, including secure credential management (keys, secrets, tokens), encryption at rest and in transit, and network-level controls where required
• Enforce role-based and attribute-based access controls, ensuring strict data isolation, tenancy boundaries, and stakeholder-specific access rules
• Design, maintain, and evolve canonical data models that support operational workflows, reporting & analytics, and regulatory/audit requirements
• Define and enforce data governance standards, ensuring compliance with insurance and financial data regulations and consistent definitions of business metrics across stakeholders
• Build and operate data pipelines on a cloud-native platform, leveraging distributed processing frameworks (Spark / PySpark), data lakes, lakehouses, and warehouses
• Implement and manage orchestration, monitoring, alerting, and cost-optimization mechanisms across the data platform
• Contribute to long-term data strategy, platform architecture decisions, and cost-optimization initiatives while maintaining strict security and compliance standards

Required Technical Skills

• Core Stack: Python, Advanced SQL(Complex joins, window functions, performance tuning), Pyspark
• Platforms: Azure, AWS, Data Bricks, Snowflake
• ETL / Orchestration: Airflow or similar frameworks
• Data Modeling: Star/Snowflake schema, dimensional modeling, OLAP/OLTP
• Visualization Exposure: Power BI
• Version Control & CI/CD: GitHub, Azure Devops, or equivalent
• Integrations: APIs, real-time data streaming, ML model integration exposure

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering or similar roles
• Strong ability to align technical solutions with business objectives
• Excellent communication and stakeholder management skills

What We Offer

• Direct collaboration with the core US data leadership team
• High ownership and trust to manage the function end-to-end
• Exposure to a global environment with advanced tools and best practices

BluePMS Software Solutions Pvt Ltd is hiring a talented DevOps Engineer to join our growing engineering team. In this role, you will be responsible for building and maintaining scalable infrastructure, automating deployment processes, and improving the reliability of our software delivery pipelines.

KeyResponsibilities:

 1: Design, build, and maintain CI/CD pipelines for faster and reliable deployments.

 2: Manage and monitor cloud infrastructure and servers.

 3: Automate build, testing, and deployment processes.

 4: Collaborate with development and QA teams to improve release cycles.

 5: Monitor system performance and ensure high availability and reliability.

 6: Troubleshoot infrastructure and deployment issues.

 7: Implement security best practices in DevOps workflows.

RequiredSkills:

 1: Strong understanding of DevOps principles and CI/CD pipelines.

 2: Experience with Docker, Kubernetes, or containerization technologies.

 3: Familiarity with cloud platforms such as AWS, Azure, or GCP.

 4: Experience with Git, Jenkins, GitHub Actions, or similar tools.

 5: Basic scripting knowledge (Bash, Python, or Shell).

 6: Good understanding of Linux systems and networking concepts.

Eligibility:

 1: Experience: 2 – 7 years

 2: Qualification: Bachelor's degree in Computer Science, IT, or related field

 3: Strong analytical and problem-solving skills.

Location: Chennai / Remote

Apply here: https://connectsblue.com/jobs/753/devops-engineer-at-bluepms-software-solutions-pvt-ltd

Job Description:

Position Type: Full-Time Contract (with potential to convert to Permanent)

Location: Remote (Australian Time Zone)

Availability: Immediate Joiners Preferred

About the Role

We are seeking an experienced Tableau and Snowflake Specialist with 5+ years of hands‑on expertise to join our team as a full‑time contractor for the next few months. Based on performance and business requirements, this role has a strong potential to transition into a permanent position.

The ideal candidate is highly proficient in designing scalable dashboards, managing Snowflake data warehousing environments, and collaborating with cross-functional teams to drive data‑driven insights.

Key Responsibilities

• Develop, design, and optimize advanced Tableau dashboards, reports, and visual analytics.
• Build, maintain, and optimize datasets and data models in Snowflake Cloud Data Warehouse.
• Collaborate with business stakeholders to gather requirements and translate them into analytics solutions.
• Write efficient SQL queries, stored procedures, and data pipelines to support reporting needs.
• Perform data profiling, data validation, and ensure data quality across systems.
• Work closely with data engineering teams to improve data structures for better reporting efficiency.
• Troubleshoot performance issues and implement best practices for both Snowflake and Tableau.
• Support deployment, version control, and documentation of BI solutions.
• Ensure availability of dashboards during Australian business hours.

Required Skills & Experience

• 5+ years of strong hands-on experience with Tableau development (Dashboards, Storyboards, Calculated Fields, LOD Expressions).
• 5+ years of experience working with Snowflake including schema design, warehouse configuration, and query optimization.
• Advanced knowledge of SQL and performance tuning.
• Strong understanding of data modeling, ETL processes, and cloud data platforms.
• Experience working in fast-paced environments with tight delivery timelines.
• Excellent communication and stakeholder management skills.
• Ability to work independently and deliver high‑quality outputs aligned with business objectives.

Nice-to-Have Skills

• Knowledge of Python or any ETL tool.
• Experience with Snowflake integrations (Fivetran, DBT, Azure/AWS/GCP).
• Tableau Server/Prep experience.

Contract Details

• Full-Time Contract for several months.
• High possibility of conversion to permanent, based on performance.
• Must be available to work on the Australian Time Zone.
• Immediate joiners are highly encouraged.

We’re Hiring Backend Developers | Java / Go / Python | 3–5 Years | Bangalore

We are expanding our engineering team and looking for talented Backend Developers with 3–5 years of experience to join us in Bangalore.

If you enjoy building scalable systems, working with modern cloud technologies, and solving complex problems, this opportunity is for you!

💼 Position

Backend Developer (Java / Go / Python)

📍 Location: Bangalore

👨‍💻 Experience: 3–5 Years

🔎 What You Bring

✔ Strong proficiency in Go or similar backend languages like Python with Fast API or JAVA with Springboot .

✔ Experience designing RESTful APIs

✔ Hands-on experience with AWS / GCP

✔ Experience working with PostgreSQL, Redis, Kafka, or SQS

✔ Strong experience with Microservices architecture

✔ Hands-on experience with CI/CD pipelines

✔ Experience with containerized environments (Docker / Kubernetes)

✔ Familiarity with monitoring tools like Prometheus, Grafana, and Spring Actuator

✔ Strong understanding of data structures, algorithms, and system design fundamentals

✔ Ability to own features end-to-end and solve complex engineering problems

✔ Strong focus on code quality, observability, and operational ownership

✔ Comfortable working in fast-paced, high-growth environments

Availability: Full time 

Location: Pune, India 

Experience: 5- 6 years

Tvarit Solutions Private Limited (wholly owned subsidiary of TVARIT GmbH, Germany). TVARIT provides software to reduce manufacturing waste like scrap, energy, and machine downtime using its patented technology. With its software products, and highly competent team from renowned Universities, TVARIT has gained customer trust across 4 continents within a short span of 3 years. TVARIT is awarded among the top 8 out of 490 AI companies by European Data Incubator, apart from many more awards by the German government and industrial organizations making TVARIT one of the most innovative AI companies in Germany and Europe.  

We are looking for a passionate Full Stack Developer Level 2 to join our technology team in Pune Centre. You will be responsible for handling architecting, design, development, testing, leading the software development team and working toward infrastructure development that will support the company’s solutions. You will get an opportunity to work closely on projects that will involve the automation of the manufacturing process. 

Key Responsibilities 

· Full Stack Development: Design, develop, and maintain scalable web applications using React with TypeScript for the frontend and Node.js/Python for the backend.

· AI Integration: Collaborate with data scientists and ML engineers to integrate AI/ML models into the SaaS platform, ensuring seamless performance and usability.

· API Development & Optimization: Build and optimize high-performance REST APIs in Node.js and Python (Django, Flask, or FastAPI) to support real-time data processing and analytics.

· Database Engineering: Design, manage, and optimize data storage using relational (PostgreSQL), NoSQL (MongoDB/DynamoDB), graph, and vector databases for handling complex industrial data.

· Cloud-Native Deployment: Deploy, monitor, and manage services in containerized environments using Docker and Kubernetes on Linux-based systems (Ubuntu/Debian).

· System Architecture & Design: Contribute to architectural decisions, leveraging OOPs, microservices, domain-driven design, and design patterns to ensure scalability, security, and maintainability.

· Data Handling & Processing: Work with large-scale manufacturing datasets using Python (pandas) to enable predictive analytics and AI-driven insights.

· Collaboration & Agile Delivery: Partner with cross-functional teams—including product managers, manufacturing domain experts, and AI researchers—to translate business needs into technical solutions.

· Performance & Security: Ensure robust, secure, and high-performance software by implementing best practices in algorithms, data structures, and system design.

· Continuous Improvement: Stay updated on emerging technologies in AI, SaaS, and manufacturing systems to propose innovative solutions that enhance product capability.

Must have worked on these technologies.

· 5+ years of experience working with React-Typescript, node.js on a production level

· Python, pandas, High performance REST APIs in node and Python (in Django or Flask or Fast API)

· Databases: Relational DB like PostgreSQL, No SQL DB like Mongo or Dynamo DB, Vector databases, Graphs DBs

· OS: Linux flavor like Ubuntu, Debian

· Source Control and CI/CD

· Software Fundamentals: Excellent command on Algorithms and Data Structures

· Software design and Architecture: OOPs, Design Patterns, Micro Services, monolithic architectures, Domain driven Design

· Containers: Docker and Kubernetes

· Cloud: Fundamentals of AWS like S3 buckets, EC2, IAMs, Security groups

Benefits and Perks:

· Be part of the product which is transforming the manufacturing landscape with AI

· Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you.

· Progressive leave policy for effective work-life balance.

· Get mentored by highly qualified internal resource groups and opportunities to avail industry-driven mentorship programs.

· Multicultural peer groups and supportive workplace policies. 

· Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work.

How it's like to work for a Startup?

Working for TVARIT (deep-tech German IT Startup) can offer you a unique blend of innovation, collaboration, and growth opportunities. But it's essential to approach it with a willingness to adapt and thrive in a dynamic environment.

If this position sparked your interest, do apply today!

About RevSure

Revsure.ai is an early-stage US VC-backed company building a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.

About Team and Role

The Data Platform team at RevSure AI is building an industry-first generic data model for storing and reporting on data from diverse sources systems that our customers use in tracking their end-to-end revenue life cycle.  Our reporting layer is being built to power real-time querying of complex RevOps metrics in a multi-tenant ecosystem.  Building all of this comes with interesting challenges in every aspect of data engineering including Data Modelling, Configurability of ETL pipelines, Entity Resolution, Metadata Management, Data Governance etc.  The role requires solid understanding of data systems and ETL patterns to design and author complex data pipelines.  Being an early member of the data team also provides a ton of learning opportunities and the chance to define and shape the architectural decisions involved in solving these challenges to help usher in a new era of Revenue Intelligence.

Work Setup

Full-time; Hybrid working - location: Bengaluru

Experience and Skills

• Have 4+ years of experience with developing data applications using big data technologies such as Hadoop, Spark, Flink, Dataflow etc.
• Experience with workflow orchestration tools such as Airflow/Luigi/Azkaban etc.
• Experience with coding languages like Python/Java/Scala
• Experience with at least one cloud platform AWS/GCP/Azure
• Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing
• Knowledge and experience with Data Management and Data Storage best practices.
• Exposure to large databases, BI applications, data quality and performance tuning
• Good to have understanding of job management, resiliency
• Good to have prior experience with Graph, Time-series databases
• Good to have some experience with GenAI and Agentic Framework

Roles and Responsibilities

• Architect highly metadata-driven data pipelines with algorithms for data deduplication, data harmonisation, fuzzy matching, identity resolution
• Design and architect relational, time series and graph databases to run OLAP queries
• Design and develop SDKs and APIs to enable configurable data consumption paradigms
• Build tools to monitor the health of the data pipelines and data infrastructure

Python Developer- Fresher

We are looking for an enthusiastic and skilled Python Developer with a passion for AI-based application development to join our growing technology team. This position offers the opportunitytowork at the intersection of software engineering and data analytics, contributing to innovative AI- driven solutions that drive business impact. If you have a strong foundation in Python, a flair for problem-solving, and an eagerness to build intelligent systems, we would love to meet you!

Key Responsibilities

 Develop and deploy AI-focused applications using Python and associated frameworks.

 Collaborate with Developers, Product Owners, and Business Analysts to design and implement machine learning pipelines.

 Create interactive dashboards and data visualizations for actionable insights.

 Automate data collection, transformation, and processing tasks.

 Utilize SQL for data extraction, manipulation, and database management.

 Apply statistical methods and algorithms to derive insights from large datasets.

Required Skills and Qualifications

 0–1 years of experience as a Python Developer, with a strong portfolio of relevant projects.

 Bachelor’s degree in Computer Science, Data Science, or a related technical field.

 In-depth knowledge of Python, including frameworks and libraries such as NumPy, Pandas, SciPy, and PyTorch.

 Proficiency in front-end technologies like HTML, CSS, and JavaScript.

 Familiarity with SQL and NoSQL databases and their best practices.  Excellent communication and team-building skills.

 Strong problem-solving abilities with a focus on innovation and self-learning.

 Knowledge of cloud platforms such as AWS is a plus.

Work Environment & Tools

• Comfortable working in a remote setup
• Familiarity with collaboration and remote access tools

Additional Requirements (Work-from-Home Setup)

This opportunity promotes a healthy work-life balance with remote work flexibility. Candidates must have the following minimum infrastructure:

• System: Laptop or Desktop (Windows-based)
• Operating System: Windows
• Screen Size: Minimum 14 inches
• Screen Resolution: Full HD (1920 × 1080)
• Processor: Intel i5 or higher
• RAM: Minimum 8 GB (Mandatory)
• Software: AnyDesk
• Internet Speed: 100 Mbps or higher

About ARDEM

ARDEM is a leading Business Process Outsourcing (BPO) and Business Process Automation (BPA) service provider. With over 20 years of experience, ARDEM has consistently delivered high-quality outsourcing and automation services to clients across the USA and Canada. We are growing rapidly and continuously innovating to improve our services. Our goal is to strive for excellence and become the best Business Process Outsourcing and Business Process Automation company for our customers.

Senior QA Automation Engineer (Appium & Selenium – Mobile Automation)

Location: Gurugram

Job Type: Full-time

Experience: 5+ Years

Work Mode: Onsite

About Us:

We specialize in delivering high-quality QA and software testing solutions to both startups

and enterprise clients. Our mission is to build reliable, scalable, and high-performing

software through strong testing practices and continuous innovation. Collaboration, quality,

and ownership drive everything we do.

About the Role:

We are seeking a Senior QA Automation Engineer with strong hands-on expertise in Appium and Selenium to lead mobile automation initiatives within our QA team.

In this role, you will be responsible for designing, developing, and maintaining scalable automation frameworks for Android and iOS applications. You will work closely with cross-functional teams to ensure product quality through robust automation strategies.

If you are passionate about mobile automation and enjoy working in a fast-paced, collaborative environment, we would love to connect with you.

Key Responsibilities:

● Design, develop, and maintain automated test scripts using Appium and Selenium

● Perform automation testing for Android and iOS mobile applications

● Build and enhance scalable and reusable mobile automation frameworks

● Execute functional, regression, integration, and end-to-end test suites

● Collaborate with developers, product managers, and QA teams to understand requirements and define test strategies

● Analyze test results, identify defects, and work closely with development teams for resolution

● Integrate automation suites with CI/CD pipelines (e.g., Jenkins)

● Contribute to API automation and backend validation when required

● Support manual testing activities when needed

● Maintain detailed test documentation, reports, and execution results

Required Qualifications:

● Bachelor’s degree in Computer Science, Engineering, or a related field

● 5+ years of experience in QA automation

● Strong hands-on experience with Appium (Mobile Automation)

● Strong experience with Selenium (Web Automation)

● Proficiency in Java (preferred) or JavaScript

● Solid understanding of mobile automation architecture and Appium internals

● Experience with automation frameworks such as TestNG or JUnit

● Familiarity with Maven, Git, Jenkins, and Postman

● Good understanding of API testing and RESTful services

● Experience integrating automation with CI/CD pipelines

Preferred Skills (Nice to Have):

● Experience with BDD frameworks like Cucumber

● Exposure to real-device testing, emulators, and cloud-based device farms

● Knowledge of mobile CI/CD implementation

● Familiarity with Android Studio, Xcode, and mobile debugging tools

● Strong problem-solving skills and attention to detail

● Good communication and team collaboration skills

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description:

Experience Required: 3–5years

Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)

Role Overview

We are seeking a strong Python Application Engineer to help build a next-generation Index Backtesting and Rebalance Platform.

In this role, you will design and develop deterministic, scalable calculation engines that convert financial methodologies into production-grade software.

You will work on portfolio construction, rebalancing logic, and historical simulations while consuming reference and market data from Snowflake using python as your core processing tool.

Key Responsibilities

Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.

Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.

Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.

Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.

Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.

Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.

Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.

Required Technical Capabilities

Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.

Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.

Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.

Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.

Database Skills: Strong SQL and experience consuming structured data from Snowflake.

Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.

Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.

Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM).

Technical Skills:

• Technical Skills:
• Python, PySpark, Pandas, NumPy, AWS (S3, Lambda), Apache Airflow, SQL, Financial Services Domain Knowledge, Strong Communication Skills.
• 
  

QA Automation Engineer (Appium – Mobile Automation)

Location: Gurugram

Job Type: Full-time

Experience: 4+ Years

Work Mode: Onsite

About Us:

We deliver high-quality QA and software testing solutions for startups and enterprises alike.

Our focus is simple—build reliable, scalable, and flawless software through strong testing practices. Innovation, quality, and collaboration are at the heart of everything we do.

About the Role:

We are looking for a QA Automation Engineer with strong expertise in Appium to join our growing QA team. In this role, you will be responsible for ensuring the quality of mobile applications by building and maintaining robust automation frameworks for Android and iOS

platforms.

If mobile automation excites you and you enjoy working in a fast-paced, collaborative environment, we’d love to connect.

Key Responsibilities:

● Design, develop, and maintain automated test scripts for mobile applications using Appium

● Perform automation testing for Android and iOS applications

● Build and enhance reusable and scalable mobile automation frameworks

● Execute functional, regression, and integration testing

● Collaborate with developers, product owners, and QA teams to understand requirements

● Analyze test results, log defects, and work closely with teams to resolve issues

● Integrate mobile automation tests with CI/CD pipelines (e.g., Jenkins)

● Support manual testing when required

● Maintain test documentation, reports, and execution results Required Qualifications

● Bachelor’s degree in Computer Science, Engineering, or a related field

● 4+ years of experience in QA automation, with strong hands-on Appium experience

● Experience with Java (preferred) or JavaScript

● Strong understanding of mobile automation concepts and Appium architecture

● Experience with test frameworks like TestNG or JUnit

● Familiarity with tools such as Maven, Git, Jenkins, and Postman

● Knowledge of API testing and RESTful services

Preferred Skills (Nice to Have):

● Experience with BDD tools like Cucumber

● Exposure to real-device testing, emulators, and cloud device platforms

● Knowledge of mobile CI/CD pipelines

● Familiarity with Android Studio, Xcode, and mobile debugging tools

About the Role

Applix is looking for a Python Software Engineer with strong Azure cloud experience to build and operate AI-powered applications and agentic workflows. The engineer will work closely with our enterprise client teams to develop, deploy, and maintain AI solutions running on the Azure platform.

This role combines Python application development, AI platform integration, and cloud deployment responsibilities.

Key Responsibilities

• Build and maintain Python-based services and AI agents
• Develop and manage agentic workflows and automation pipelines
• Deploy and monitor applications on Azure cloud services
• Integrate with Azure AI services such as Azure OpenAI and Azure Document Intelligence
• Manage application deployments using Azure App Services or equivalent cloud platforms
• Monitor system performance, logs, and reliability in production environments
• Work with engineering teams to ensure scalable and secure deployments
• Support CI/CD pipelines and DevOps practices for application delivery

Experience

3–8 years of relevant experience in software engineering and cloud development.

Required Skills

• Strong programming experience in Python
• Experience deploying applications on Microsoft Azure
• Familiarity with Azure App Services or equivalent cloud services
• Understanding of cloud deployment, monitoring, and DevOps practices
• Experience building APIs, automation workflows, or backend services
• Good problem-solving ability and communication skills
• Experience with Azure OpenAI
• Experience with Azure Document Intelligence
• Familiarity with Azure AI Foundry or AI platform services
• Exposure to LLM-based applications or AI workflows
• Experience with CI/CD pipelines and cloud automation

Hiring for Lead Data Engineer

Exp : 6 - 10 yrs

Edu : Any Graduates

Work Location : Noida WFO

Skills :

Team Handling Experience .

Advanced SQL and PySpark

Data Engineering concepts (Data Warehouse (DW), Data Lake, OLTP vs OLAP, etc.)

API development experience (preferably in Python)

Familiarity with Docker and Kubernetes

Experience with Airflow and DBT

Exposure to Hudi, Iceberg, or Delta Lake

Strong AWS project experience

• 4–7 years of professional C++ experience in performance-critical systems
• Expert knowledge of modern C++ (C++11/14/17)
• Strong understanding of data structures, algorithms, and memory models
• Deep experience with multithreading, atomics, lock-free programming, and CPU cache behaviour
• Excellent knowledge of Linux internals and system-level programming
• Experience with low-level debugging and profiling (gdb, perf, valgrind, flamegraphs)
• Proficiency with CMake/Make and Git

2. Trading Systems Experience (Highly Preferred)

• Hands-on experience with order management systems (OMS) and execution engines
• Knowledge of exchange protocols: FIX, ITCH, OUCH, FAST
• Experience handling market data feeds (L1/L2, multicast, UDP)
• Understanding of latency measurement, clock synchronization, and time stamping
• Experience with network tuning (kernel bypass, socket tuning, CPU pinning)
• Familiarity with trading lifecycle, risk checks, and throttling mechanisms

3. Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline

4. Soft Skills (Important for Trading Firms)

• Ability to work under extreme time and accuracy pressure
• Strong ownership of production systems
• Clear and direct communication with traders and quants
• Bias toward simple, fast, and reliable designs

5. Key Responsibilities

• Design, develop, and optimize ultra-low-latency C++ trading applications
• Build and maintain exchange connectivity and order execution systems
• Develop real-time market data pipelines with strict latency requirements
• Optimize systems at CPU, memory, and network levels
• Implement lock-free or low-lock concurrent designs
• Analyze latency using profiling tools and improve tail latency
• Ensure high availability, fault tolerance, and rapid recovery
• Work closely with Traders and Quant Researchers to implement strategies
• Participate in architecture and performance design reviews
• Review code, enforce best practices, and mentor junior engineers
• Support production systems and handle time-critical issues when needed

We are seeking an experienced Python Lead to design, develop, and scale high-performance backend systems. The ideal candidate will have strong expertise in Python-based backend development, system design, and cloud-native architectures. You will lead the development of scalable APIs, work with modern cloud platforms, and collaborate with cross-functional teams to deliver reliable and efficient applications.

Key Responsibilities

• Design and develop scalable backend services using Python (Django/Flask).
• Build and maintain RESTful APIs and WebSocket-based applications.
• Implement efficient algorithms, data structures, and design patterns for high-performance systems.
• Develop and optimize database schemas and queries using PostgreSQL, MySQL, or MongoDB.
• Integrate caching and queuing systems to improve system performance and reliability.
• Deploy and manage applications on AWS or GCP cloud environments.
• Implement and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
• Work with Docker containers and Linux-based environments for development and deployment.
• Collaborate with engineering teams to design scalable system architectures.
• Explore and integrate AI-driven capabilities such as RAG, LLMs, and vector databases where applicable.

Required Skills

• Strong expertise in Python backend development using Django or Flask
• Experience with REST APIs, WebSockets, and microservices architecture
• Solid knowledge of design patterns, algorithms, and data structures
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)
• Hands-on experience with AWS or GCP cloud services
• Experience with CI/CD pipelines and containerization (Docker)
• Proficiency in Git and Linux environments

Preferred Skills

• Familiarity with AI/ML concepts
• Experience with RAG architectures and LLM integrations
• Knowledge of vector databases such as Pinecone or ChromaDB

What We’re Looking For

• Strong problem-solving and system design skills
• Ability to lead backend development initiatives
• Experience building scalable and production-grade systems
• Excellent collaboration and communication skills

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

Job Title: Data Engineer

Experience: 4–14 Years

Work Mode: Remote

Employment Type: Full-Time

Position Overview:

We are looking for highly experienced Senior Data Engineers to design, architect, and lead scalable, cloud-based data platforms on AWS. The role involves building enterprise-grade data pipelines, modernizing legacy systems, and developing high-performance scoring engines and analytics solutions and collaborate closely with architecture, analytics, risk, and business teams to deliver secure, reliable, and scalable data solutions.

Key Responsibilities:

·      Design and build scalable data pipelines for financial and customer data

·      Build and optimize scoring engines (credit, risk, fraud, customer scoring)

·      Design, develop, and optimize complex ETL/ELT pipelines (batch & real-time)

·      Ensure data quality, governance, reliability, and compliance standards

·      Optimize large-scale data processing using SQL, Spark/PySpark, and cloud technologies

·      Lead cloud data architecture, cost optimization, and performance tuning initiatives

·      Collaborate with Data Science, Analytics, and Product teams to deliver business-ready datasets

·      Mentor junior engineers and establish best practices for data engineering

Key Requirements:

·      Strong programming skills in Python and advanced SQL

·      Experience building scalable scoring or rule-based decision engines

·      Hands-on experience with Big Data technologies (Spark/PySpark/Kafka)

·      Strong expertise in designing ETL/ELT pipelines and data modeling

·      Experience with cloud platforms (AWS/Azure) and modern data architectures

·      Solid understanding of data warehousing, data lakes, and performance tuning

·      Knowledge of CI/CD, version control (Git), and production support best practices

Role & Responsibilities

This is not just another dev job. You’ll help engineer the backbone of the world’s first AI Agentic manufacturing OS.

You will:

• Build and own features end-to-end — from design → deployment → scale.
• Architect scalable, loosely coupled systems powering AI-native workflows.
• Create robust integrations with 3rd-party systems.
• Push boundaries on reliability, performance, and automation.
• Write clean, tested, secure code → and continuously improve it.
• Collaborate directly with Founders & Snr engineers in a high-trust environment.

Our Tech Arsenal:

• We believe in always using the sharpest tools for the job. On that end we always try to remain tech agnostic and leave it up to discussion on what tools to use to get the problem solved in the most robust and quick way.
• That being said, our bright team of engineers have already constructed a formidable arsenal of tools which helps us fortify our defense and always play on the offensive. Take a look at the Tech Stack we already use.

Ideal Candidate

• Strong Full stack/Backend engineer profile
• Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
• Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
• Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
• Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding
• Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
• Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
• Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
• Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
• Mandatory (Company) : Product companies (B2B SaaS preferred)
• Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)
• Preferred (Location) - Mumbai, Bangalore
• Preferred (Skills) : Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
• Preferred (Education) : B.Tech from Tier 1,Tier 2 institutes

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred

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)

Description

We are currently hiring for the position of Data Scientist/ Senior Machine Learning Engineer (6–7 years’ experience).

Please find the detailed Job Description attached for your reference. We are looking for candidates with strong experience in:

• Machine Learning model development
• Scalable data pipeline development (ETL/ELT)
• Python and SQL
• Cloud platforms such as Azure/AWS/Databricks
• ML deployment environments (SageMaker, Azure ML, etc.)

Kindly note:

• Location: Pune (Work From Office)
• Immediate joiners preferred

While sharing profiles, please ensure the following details are included:

• Current CTC
• Expected CTC
• Notice Period
• Current Location
• Confirmation on Pune WFO comfort

Must have skills

Machine Learning - 6 years

Python - 6 years

ETL(Extract, Transform, Load) - 6 years

SQL - 6 years

Azure - 6 years

Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

Able to craft effective data pipelines to transform your analyses from offline to production systems·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·       

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

Lead discussions at peer review and use interpersonal skills to positively influence decision making·       

Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·       

Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 

Desired Qualifications ·      

Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·       

Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

Experience implementing MLOPs framework along with understanding of data security·       

Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

Job Description

We are looking for a Junior Python Developer with knowledge of Python, Pandas, SQL, and Machine Learning concepts. The candidate will assist in developing data-driven solutions, performing data analysis, and supporting machine learning model development.

Key Responsibilities

• Write and maintain programs using Python for data processing and analysis.
• Work with Pandas and NumPy for data cleaning and data manipulation.
• Write SQL queries to extract and analyze data from databases.
• Assist in building and testing machine learning models.
• Perform data preprocessing and feature engineering.
• Collaborate with senior developers and data scientists on projects.
• Document code and maintain technical documentation.

Required Skills

• 0–2 years of experience or strong academic projects in Python
• Knowledge of Pandas and NumPy
• Basic understanding of SQL and relational databases
• Understanding of machine learning concepts
• Familiarity with Scikit-learn or TensorFlow (basic level)
• Good problem-solving and analytical skills

Good to Have

• Knowledge of data visualization tools (Matplotlib / Seaborn)
• Exposure to Jupyter Notebook
• Basic understanding of Git version control

Job Title : Data / Generative AI Engineer

Experience : 5+ Years (Mid-Level) | 10+ Years (Senior)

Location : Remote

Employment Type : Contract

Open Positions : 5

Job Overview :

We are hiring Data / Generative AI Engineers for remote contract engagements supporting client-facing AI implementations. The role involves building production-grade Generative AI solutions on AWS, including conversational AI systems, RAG-based architectures, intelligent automation platforms, and scalable data engineering pipelines.

Mandatory Skills :

Amazon Bedrock, Generative AI, RAG Architecture, LangChain/LlamaIndex/Bedrock Agents, Python (3.9+), AWS Serverless (Lambda, API Gateway, Step Functions), Vector Databases, Data Engineering & ETL, AWS Glue, Amazon Athena.

Key Responsibilities :

• Design and build production-ready Generative AI applications on AWS.
• Implement Retrieval-Augmented Generation (RAG) architectures for enterprise AI solutions.
• Integrate Amazon Bedrock with foundation models and enterprise systems.
• Develop AI agent orchestration workflows using frameworks such as LangChain, LlamaIndex, or Bedrock Agents.
• Build and manage serverless architectures using AWS services like Lambda, API Gateway, and Step Functions.
• Implement vector databases and semantic search solutions for intelligent knowledge retrieval.
• Design and maintain data engineering pipelines and ETL workflows for large-scale data processing.
• Use AWS Glue for data transformation and orchestration.
• Utilize Amazon Athena for querying large datasets and performing analytics.
• Develop scalable Python-based APIs and backend services.
• Collaborate with cross-functional teams and clients to deliver AI-powered solutions in production environments.

Required Skills :

• Strong experience with Amazon Bedrock and foundation model integrations
• Hands-on experience with LangChain, LlamaIndex, or Bedrock Agents
• Advanced Python (3.9+) development and API building
• Experience with AWS serverless architectures (Lambda, API Gateway, Step Functions)
• Experience implementing vector databases and semantic search systems
• Strong knowledge of data engineering and ETL pipeline development
• Hands-on experience with AWS Glue for data transformation and orchestration
• Experience using Amazon Athena for querying and analytics
• Experience building RAG-based AI applications

Engagement Details :

• Contract Duration : Minimum 3 to 6 Months
• Work Timing : 8:00 AM – 4:00 PM EST
• Start Timeline : Within 2 Weeks
• Open Positions : 5

Data Engineer MS Data Engineer + Snowflake/databrics Required Skills: · 6 to 8 years of being a practitioner in data engineering or a related field. Should have experience in Snowflake or Databricks. Experience with data processing frameworks like Apache Spark or Hadoop. Experience working on Databricks. Familiarity with cloud platforms (AWS, Azure) and their data services. Experience with data warehousing concepts and technologies. Experience with message queues and streaming platforms (e.g., Kafka). Excellent communication and collaboration skills. Ability to work independently and as part of a geographically distributed team. 

About the role

We are seeking a seasoned Backend Tech Lead with deep expertise in Golang and Python to lead our backend team. The ideal candidate has 6+ years of experience in backend technologies and 2–3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.

Responsibilities

Technical & Product Delivery

● Oversee design and development of backend systems operating at 10K+ RPM scale.

● Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).

● Partner with product managers to scope, prioritize, and release B2C product features and applications.

● Ensure architectural best practices, high-quality code standards, and robust testing practices.

● Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.

Operational Excellence

● Champion observability, monitoring, and reliability across backend services.

● Continuously improve system performance, scalability, and resilience.

● Streamline development workflows and engineering processes for speed and quality.

Requirements

● Experience:

7+ years of professional experience in backend technologies.

2-3 years as Tech lead and driving delivery.

● Technical Skills:

Strong hands-on expertise in Golang and Python.

Proven track record with high-scale systems (≥10K RPM).

Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.

● Leadership Skills:

Demonstrated success in managing teams through 2–3 appraisal cycles.

Strong experience working with product managers to deliver consumer-facing applications.

● Excellent communication and stakeholder management abilities.

Nice-to-Have

● Familiarity with containerization and orchestration (Docker, Kubernetes).

● Experience with observability tools (Prometheus, Grafana, OpenTelemetry).

● Previous leadership experience in B2C product companies operating at scale.

What We Offer

● Opportunity to lead and shape a backend engineering team building at scale.

● A culture of ownership, innovation, and continuous learning.

● Competitive compensation, benefits, and career growth opportunities.

AI Engineer (Generative AI & Healthcare)

Location: Remote (India)

Experience: 3 - 12 Years

Domain: HealthTech

The Mission

We are looking for a heavy-hitter AI Engineer to bridge the gap between unstructured clinical chaos and structured medical insights. You won’t just be "playing" with prompts; you will build production-grade, HIPAA-compliant systems that handle sensitive EMR/EHR data using state-of-the-art RAG architectures and Agentic workflows.

What You’ll Do

• Architect & Deploy: Build end-to-end GenAI pipelines and Agentic Workflows capable of navigating complex clinical logic.
• Clinical NLP: Transform unstructured doctor’s notes into structured insights using BioBERT, ClinicalBERT, or custom fine-tuned LLMs.
• Data Orchestration: Work seamlessly within HL7/FHIR standards to ensure interoperability.
• Production Excellence: Deploy and scale models in a robust environment using Docker, Kubernetes, and AWS.
• Security First: Architect every solution with a HIPAA-compliant mindset, ensuring the absolute integrity of sensitive patient data.

Your Technical Toolkit

• Generative AI: Expert-level RAG, Fine-tuning, and Prompt Engineering.
• Healthcare Tech: Deep familiarity with EMR/EHR systems and HL7/FHIR protocols.
• Engineering: 3+ years of experience with Python, LangChain/LlamaIndex, and vector databases.
• DevOps: Proven track record of deploying "production-grade" AI (not just notebooks) on AWS/K8s.

Interested? Apply with a summary of your most complex production-grade AI project.

https://forms.gle/4L22rGT4VTVyAEnV9

Job Title : AI Analyst (Fresher / Associate)

Experience : 0 to 3 Years

Location : Andheri West, Mumbai (Onsite)

Reporting To : AI Architect

Employment Type : Full-Time

About the Role :

We are hiring an AI Analyst to work with enterprise clients on the assessment, design, and validation of AI systems. This is a hands-on role at the intersection of business, technology, and responsible AI, focused on building production-ready, scalable, and governed AI solutions aligned with real business outcomes.

Mandatory Skills :

Artificial Intelligence (AI), Large Language Models (LLM), AI Agents, Generative AI, Machine Learning basics, Python, Prompt Engineering, Analytical Thinking.

Key Responsibilities :

• Review existing AI workflows, agents, and LLM usage to identify risks, gaps, and inefficiencies.
• Support the design of AI agent workflows aligned with business requirements.
• Help implement AI guardrails, governance frameworks, and safety mechanisms.
• Design evaluation and validation frameworks to test accuracy, reliability, and cost efficiency.
• Support AI pilot launches and production readiness.
• Communicate AI system behavior and insights to technical and non-technical stakeholders.

Required Skills :

• Strong analytical and systems thinking.
• Exposure to LLMs, AI agents, or AI workflows.
• Ability to translate business requirements into AI solutions.
• Good problem-solving and communication skills.
• Comfortable working in fast-paced environments.

Preferred :

• Consulting or client-facing experience.
• Exposure to enterprise AI deployments or regulated environments.

Education :

• Degree in Computer Science, Engineering, AI, or Data Science preferred.
• Strong practical AI skills are also valued.

Why Join Us :

• Work on real-world AI systems with enterprise clients, gain exposure to production AI and responsible AI deployment, and build a strong foundation in Applied AI and AI Systems Architecture.

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Key Responsibilities

• Design, develop, and maintain microservices and APIs running on GKE, Cloud Run, App Engine, and Cloud Functions.
• Build secure, scalable REST and GraphQL APIs to support Our Client front-end applications and integrations.
• Work with the GCP Architect to ensure back-end design aligns with enterprise architecture and security best practices.
• Implement integration layers between GCP-hosted services, AlloyDB, Cloud Spanner, Cloud SQL, and third-party APIs.
• Deploy services using Gemini Code Assist, CLI tools, and Git-based CI/CD pipelines.
• Optimize service performance, scalability, and cost efficiency.
• Implement authentication, authorization, and role-based access control using GCP Identity Platform / IAM.
• Work with AI/ML services (e.g., Vertex AI, Document AI, NLP APIs) to enable intelligent back-end capabilities.
• Collaborate with front-end developers to design efficient data contracts and API payloads.
• Participate in code reviews and enforce clean, maintainable coding standards.

Experience & Qualifications

• 6–8 years of back-end development experience, with at least 3+ years in senior/lead analyst roles.
• Proficiency in one or more back-end programming languages: Node.js, Python, or Java.
• Strong experience with GCP microservices deployments on GKE, App Engine, Cloud Run, and Cloud Functions.
• Deep knowledge of AlloyDB, Cloud Spanner, and Cloud SQL for schema design and query optimization.
• Experience in API development (REST/GraphQL) and integration best practices.
• Familiarity with Gemini Code Assist for code generation and CLI-based deployments.
• Understanding of Git-based CI/CD workflows and DevOps practices.
• Experience integrating AI tools into back-end workflows.
• Strong understanding of cloud security and compliance requirements.
• Excellent communication skills for working in a distributed/global team environment.

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What You Will Do:

• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and a deep interest in scalable, low-latency systems.

• You should have 2–5 years of experience in Python-based development and be eager to solve complex performance and scalability challenges in trading and fintech applications.

• You measure success by your own growth, not external validation.

• You thrive on challenges, not on perks or financial rewards.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What We Expect:

• Develop and maintain scalable backend systems using Python.

• Design and implement REST APIs and socket-based communication.

• Optimize code for speed, performance, and reliability.

• Collaborate with frontend teams to integrate server-side logic.

• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.

• Build fault-tolerant, multi-producer/consumer systems.

Must-Have Skills:

• 2–5 years of experience in Python and backend development.

• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).

• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.

• Bachelor’s degree in Computer Science or related field.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Experience with GoLang, C/C++, Erlang, or Elixir.

• Exposure to trading, fintech, or low-latency systems.

• Familiarity with microservices and CI/CD pipelines.

Job opportunity for Developer -Python Full Stack with Siemens at Bangalore.

Interview Process:

1st round of interview - F2F (in-Person)-Technical

2nd round of interview – F2F /Virtual Interview - Technical

3rd round of interview – Virtual Interview – Technical + HR

Job Title / Designation: Developer -Python Full Stack

Employment Type: Full Time, Permanent

Location: Bangalore

Experience: 3-5 Years Job Description: : Developer -Python Full Stack

We are looking for a python full stack expert who has proven 5+ years of experience in developing automating solutions on Linux based environments. You should be capable of developing python-based web applications or automation solutions and have with excellent knowledge on DB handling and decent knowledge of the K8-based deployment environment.

Required Skills:

• Solid experience in Python back-end technology
• Sound experience in web application development
• Decent knowledge and experience in UI development using JavaScript, React/Angular or related tech stack.
• Strong understanding of software design patterns and testing principles
• Ability to learn and adapt to working with multiple programming languages.
• Experience Docker, ArgoCD, Kubernetes and Terraform
• Understanding of ETL processes to extract data from different data sources is a plus.
• Proven experience in Linux development environments using Python.
• Excellent knowledge in interacting with database systems (SQL, NoSQL) and webservices (REST)
• Experienced in establishing an optimized CI / CD environment relevant to the project.
• Good knowledge on repository management tools like Git, Bit Bucket, etc.
• Excellent debugging skills/strategies.
• Excellent communication skills
• Experienced in working in an Agile environment.

Nice to have

• Good Knowledge in eclipse IDE, developed add-ons/ plugins on eclipse Platform.
• Knowledge of 93K Semiconductor test platforms
• Good know-how of agile management tools like Jira, Azure DevOps.
• Good knowledge of RHEL
• Knowledge of JIRA administration 

To design, build, and optimize scalable data infrastructure and pipelines that enable efficient

data collection, transformation, and analysis across the organization. The Senior Data Engineer

will play a key role in driving data architecture decisions, ensuring data quality and availability,

and empowering analytics, product, and engineering teams with reliable, well-structured data to

support business growth and strategic decision-making.

Responsibilities:

• Develop, and maintain SQL and NoSQL databases, ensuring high performance,

scalability, and reliability.

• Collaborate with the API team and Data Science team to build robust data pipelines and

automations.

• Work closely with stakeholders to understand database requirements and provide

technical solutions.

• Optimize database queries and performance tuning to enhance overall system

efficiency.

• Implement and maintain data security measures, including access controls and

encryption.

• Monitor database systems and troubleshoot issues proactively to ensure uninterrupted

service.

• Develop and enforce data quality standards and processes to maintain data integrity.

• Create and maintain documentation for database architecture, processes, and

procedures.

• Stay updated with the latest database technologies and best practices to drive

continuous improvement.

• Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune

complex queries for performance and efficiency.

• Experience with monitoring and visualization tools such as Grafana to monitor database

performance and health.

Requirements:

• 4+ years of experience in data engineering, with a focus on large-scale data systems.

• Proven experience designing data models and access patterns across SQL and NoSQL

ecosystems.

• Hands-on experience with technologies like PostgreSQL, DynamoDB, S3, GraphQL, or

vector databases.

• Proficient in SQL stored procedures with extensive expertise in MySQL schema design,

query optimization, and resolvers, along with hands-on experience in building and

maintaining data warehouses.

• Strong programming skills in Python or JavaScript, with the ability to write efficient,

maintainable code.

• Familiarity with distributed systems, data partitioning, and consistency models.

• Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and

debugging production bottlenecks.

• Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM,

and cost optimization.

• Prior experience building multi-tenant systems with strict performance and isolation

guarantees.

• Excellent communication and collaboration skills to influence cross-functional technical

decisions.

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

QUALIFICATIONS & CANDIDATE PROFILE

Education

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

Key Responsibilities

• Design end-to-end architecture for scalable full-stack applications.
• Lead backend development using Python and Flask framework.
• Design and optimize MongoDB data models and queries.
• Define frontend architecture (React/Angular/Vue – as applicable).
• Establish coding standards, design patterns, and best practices.
• Build and optimize RESTful APIs and microservices.
• Implement authentication, authorization, and security best practices.
• Ensure high performance, scalability, and reliability of applications.
• Drive CI/CD implementation and DevOps best practices.
• Review code, mentor developers, and guide technical decisions.
• Collaborate with product, DevOps, and data teams.
• Troubleshoot complex production issues and perform root cause analysis.
• Lead cloud deployment strategies (Azure/AWS/GCP preferred).

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 8+ years of software development experience.
• 4+ years of hands-on Python backend development.
• Strong expertise in Flask framework.
• Deep experience with MongoDB (schema design, indexing, aggregation).
• Experience designing RESTful and microservices architectures.
• Strong understanding of frontend technologies (JavaScript, HTML, CSS).
• Experience with Git and modern CI/CD pipelines.
• Solid knowledge of system design, scalability, and performance tuning.
• Experience with containerization (Docker preferred).
• Strong problem-solving and architectural thinking skills.

Senior BackEnd Engineer

The ideal candidate will have a strong background in building scalable applications, a deep understanding of back-end technologies, and experience with cloud infrastructure. As a Back End Engineer, you will be responsible for designing, developing, and maintaining a scalable workflow management system. You will work closely with cross-functional teams to build robust and efficient applications that meet the needs of our users. Your expertise in Scala, Python, AI Agents/APIs, and GCP will be crucial in ensuring our system is reliable, performant, and scalable.

Key Responsibilities:

Back-End Development:

• Build and maintain back-end services and APIs using Scala.
• Implement and optimize Orchestration workflow system involving database queries and operations.
• Build API integrations with Third Party APIs and services.
• Ensure robust and scalable server-side logic.

Cloud Integration:

• Deploy, manage, and monitor applications on Google Cloud Platform (GCP).
• Utilize GCP services to enhance application performance and scalability.
• Implement cloud-based solutions for data storage, processing, and analytics.

Collaboration And Communication:

• Work closely with cross-functional teams to define, design, and ship new features.
• Participate in code reviews and contribute to sharing team knowledge.
• Document development processes, coding standards, and project requirements.

Qualifications:

• Educational Background:
• Completed a masters/bachelor degree in Computer Science, Engineering, or a related field.
• Technical Skills:
• Proficiency in Scala programming language.
• Strong experience with React and ReactJS.
• Familiarity with Google Cloud Platform (GCP) and its services.
• Knowledge of front-end development tools and best practices.
• Understanding of RESTful API design and implementation.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Eagerness to learn and adapt to new technologies and challenges.

Preferred Qualifications:

• Experience with version control systems such as Git.
• Familiarity with CI/CD pipelines and DevOps practices.
• Understanding of workflow management systems and their requirements.
• Experience with containerization technologies like Docker.

Must have Skills

• Scala - 4 Years
• React.Js - 1 Years
• RESTful API - 4 Years
• Docker - 2 Years
• Python - 3 Years
• Artificial Intelligence - 2 Years

Roles:

-Working on the full stack development (Both Front-end and Back-end)

-Working on any one of the following technologies:

• Java Application Programming

• Web Development with PHP

• Python Application Programming with Django

• Machine Learning

• Data Science

• Artificial Intelligence

• Cyber Security

Eligibility: BCA/MCA 2026/2027 students can apply

Duration: 1-6 months

Perks:

Internship Experience Certificate

Letter of Recommendation

Mode of internship: Online/Offline

An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.

Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.

Key Responsibilities

• Advanced Troubleshooting & Incident Management:
• Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
• Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
• Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
• Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
• Python-Specific Tasks:
• Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
• Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
• Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
• Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
• Collaboration and Escalation:
• Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
• Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
• Documentation and Process Improvement:
• Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
• Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
• Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
• Customer Communication:
• Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.

Required Technical Skills

• Programming/Scripting:
• Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
• Experience with other scripting languages like Bash or Shell
• Databases:
• Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
• Application/Web Technologies:
• Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
• Knowledge of application architectures (e.g., microservices, SOA) is a plus.
• Monitoring & Tools:
• Experience with support ticketing systems (e.g., JIRA, ServiceNow).
• Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)