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Backend Engineer Python / Golang / Rust

Location : Bangalore, India

Experience Required : 2-3 years minimum

Job Overview

We are seeking a skilled Backend Engineer with expertise in Python, Golang, or Rust to join our engineering team. The ideal candidate will have hands-on experience in building and maintaining enterprise-level, scalable backend services using microservices architecture.

Key Requirements :

Technical Skills :

- Programming Expertise : Advanced proficiency in Python with strong knowledge of Django, FastAPI, or Flask, OR expertise in Golang or Rust for backend development.

- Microservices Architecture : Solid experience in designing, developing, and maintaining microservices-based systems.

- Database Management : Hands-on experience with PostgreSQL, MySQL, MongoDB, including database design and optimization.

- API Development : Strong experience in designing and implementing RESTful APIs and GraphQL services.

- Cloud Platforms : Proficiency with AWS, GCP, or Azure services for deployment and scaling.

- Containerization & Orchestration : Strong knowledge of Docker and Kubernetes for scalable deployments.

- Messaging & Caching : Experience with Redis, RabbitMQ, Apache Kafka, and caching strategies (Redis, Memcached).

- Version Control : Advanced Git workflows and team collaboration best practices.

Experience Requirements :

- Minimum 2-3 years of backend development experience.

- Proven track record of working on enterprise-level, production-grade applications.

- Strong background in microservices architecture and distributed systems.

- Experience in building scalable systems capable of handling high traffic loads.

- Familiarity with CI/CD pipelines, DevOps practices, and cloud-native deployments.

Responsibilities :

- Design, develop, and maintain robust, scalable backend services and APIs.

- Architect and implement microservices solutions ensuring modularity and resilience.

- Optimize application performance, database queries, and service scalability.

- Collaborate closely with frontend teams, product managers, and DevOps engineers.

- Implement security best practices and data protection measures.

- Write and maintain comprehensive unit and integration tests.

- Participate actively in code reviews and architectural discussions.

- Monitor, debug, and optimize system performance in production environments.

Preferred Qualifications :

- Strong understanding of software architecture patterns (event-driven, CQRS, hexagonal, etc.).

- Experience with Agile/Scrum methodologies.

- Contributions to open-source projects or personal backend projects.

- Experience with observability tools (Prometheus, Grafana, ELK, Jaeger).

Job Description: 

Exp Range - [5y to 10y]

Require Skills: 

• Must Have – Direct hands-on experience working in Python for scripting automation analysis and Orchestration
• Must Have – Experience working with ML Libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy etc.
• Must Have – Experience working with models such as Random Forest, Kmeans clustering, BERT…
• Should Have – Exposure to querying warehouses and APIs
• Should Have – Experience with writing moderate to complex SQL queries
• Should Have – Experience analyzing and presenting data with BI tools or Excel
• Must Have – Very strong communication skills to work with technical and non-technical stakeholders in a global environment

Roles and Responsibilities:

• Work with Business stakeholders, Business Analysts, Data Analysts to understand various data flows and usage.
• Analyze and present insights about the data and processes to Business Stakeholders
• Validate and test appropriate AI/ML models based on the prioritization and insights developed while working with the Business Stakeholders
• Develop and deploy customized models on Production data sets to generate analytical insights and predictions
• Participate in cross functional team meetings and provide estimates of work as well as progress in assigned tasks.
• Highlight risks and challenges to the relevant stakeholders so that work is delivered in a timely manner.
• Share knowledge and best practices with broader teams to make everyone aware and more productive.

Qualifications:

• Minimum bachelor's degree in engineering or computer applications or AI/Data science
• Experience working in product companies/Startups for developing, validating, productionizing AI model in the recent projects in last 3 years.
• Prior experience in Python, Numpy, Scikit, Pandas, ETL/SQL, BI tools in previous roles preferred

About the Role

We are looking for a Python / AI Developer to build scalable backend services and integrate AI/LLM capabilities into real-world applications. The role involves working closely with product and frontend teams to deliver reliable, production-ready solutions.

Key Responsibilities

• Develop backend services using Python
• Build and maintain REST APIs
• Integrate AI / LLM-based features into applications
• Work with databases and structured data
• Ensure performance, security, and code quality
• Collaborate with cross-functional teams

Required Skills

• Strong experience in Python
• Backend frameworks: FastAPI / Flask / Django
• Experience building and consuming REST APIs
• Familiarity with AI / LLMs (OpenAI, LLaMA, etc.)
• Good understanding of databases (SQL preferred)
• Experience with Git and API testing tools

Nice to Have

• Exposure to Docker
• Experience with GenAI projects
• Cloud exposure (AWS / Azure / GCP)

Strong Senior Backend Engineer profiles

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

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

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

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

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

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

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

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Strong Senior Backend Engineer profiles

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

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

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

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

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

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

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

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Job Title : Python Developer (Crawlers / APIs / Async Programming)

Experience : 3 to 6 Years

Notice Period : Immediate to 15 Days

Job Location : Bangalore

Interview Process : 1 Internal Round + 2 Client Rounds

Mandatory Skill :

Strong Python experience with crawlers, REST APIs, async/multithreading, and PostgreSQL/MySQL in a cloud environment.

Role Overview :

We are looking for a highly skilled Python Developer with strong hands-on experience in building web crawlers, REST APIs, and advanced Python applications. The ideal candidate should be proficient in writing clean, efficient, and scalable code, and comfortable working with asynchronous programming, multithreading, and cloud-native environments.

Key Responsibilities :

• Build and ship new features and fixes in a fast-paced environment.
• Design, develop, test, and deploy scalable Python applications.
• Develop robust web crawlers and RESTful APIs.
• Write clean, secure, and maintainable code following SOLID principles.
• Design and document features, components, and systems.
• Collaborate closely with cross-functional teams.
• Support, monitor, and maintain existing products.
• Continuously learn and improve technical expertise.

Mandatory Skills :

• 3 to 5 years of strong hands-on experience in Python
• Experience in building web crawlers and REST APIs
• Strong knowledge of multithreading and async I/O in Python
• Experience with PostgreSQL or MySQL
• Strong understanding of OOP/Functional Programming and clean coding practices
• Experience with Docker / Containers
• Exposure to Cloud platforms (AWS or GCP)
• Excellent written and verbal communication skills
• High ownership mindset and accountability

Good to Have :

• Experience with Kubernetes, RabbitMQ, Redis
• Contributions to Open Source Projects
• Experience working with AI APIs and tools

What the Interview Will Focus On :

• Problem-solving and coding skills
• Hands-on Python programming
• Low-Level Design
• Database Design concepts

Skills Required:

• Deep expertise in modern frontend frameworks - React, Next.js, Vue, or Svelte.
• Proficiency in *TypeScript, JavaScript (ES6+), and functional programming patterns.
• Experience in state management (Zustand, Redux Toolkit, Recoil, Jotai) and component-driven architecture.
• Deep expertise in backend architecture using Python (FastAPI, Django), Node.js (NestJS, Express), or GoLang.
• Strong experience with cloud infrastructure - AWS, GCP, Azure, and containerization (Docker, Kubernetes).
• Proficiency in infrastructure-as-code (Terraform, Pulumi, Ansible).
• Mastery in CI/CD pipelines, GitOps workflows, and deployment automation (GitHub Actions, Jenkins, ArgoCD, Flux).
• Experience building high-performance distributed systems, APIs, and microservices architectures.
• Understanding of event-driven systems, message queues, and streaming platforms (Kafka, RabbitMQ, Redis Streams).
• Familiarity with database design and scaling - PostgreSQL, MongoDB, DynamoDB, TimescaleDB.
• Deep understanding of system observability, tracing, and performance tuning (Prometheus, Grafana, OpenTelemetry).
• Familiarity with AI integration stacks - deploying and scaling LLMs, vector databases (Pinecone, Weaviate, Milvus), and inference APIs (vLLM, Ollama, TensorRT).
• Awareness of DevSecOps practices, zero-trust architecture, and cloud cost optimization.
• Bonus: Hands-on with Rust, WebAssembly, or edge computing platforms (Fly.io, Cloudflare Workers, AWS Greengrass).

What You Bring

First-principles thinking

You understand how systems work at a foundational level. When something breaks, you reason backward from the error to potential causes. You know the difference between a network timeout, a malformed query, a race condition, and a misconfigured environment—even if you haven't memorized the fix.

You should be able to read code in any mainstream language and understand what it's doing.

AI-native workflow

You've already built real things using AI tools. You know how to prompt effectively, how to structure problems so AI can help, how to validate AI output, and when to step in manually.

High agency

You don't wait for permission or detailed specs. You figure out what needs to happen and make it happen. Ambiguity doesn't paralyze you.

Proof of work

Show us what you've built. Live products, GitHub repos, side projects, internal tools—anything that demonstrates you can ship complete systems.

What We Don't Care About

• Degrees or formal credentials
• Years of experience in a specific language or framework
• Whether you came from a "traditional" engineering path

What You'll Get

• Direct line to the CEO
• Autonomy to own large problem spaces
• A front-row seat to how engineering work is evolving
• Colleagues who ship fast and think clearly

Your job:

• Implement customer-specific applications with focus on business logic and algorithmic development using high-level languages

• Define and develop clear software architectures and interfaces connecting hardware control and user interfaces

• Collaborate closely with global development teams, especially at headquarters in Germany

• Maintain and enhance implemented applications, ensuring quality documentation and issue tracking in ALM tools

• Investigate, evaluate, and resolve problems through solution-oriented proposals across diverse customer environments

• Support the implementation of libraries and components with emphasis on scalable software design 

Your qualification:

• Completed Bachelor’s or Master’s degree in Computer Science, Information Technology, Automation, or a comparable field

• Minimum of 5 years of professional experience with with high-level programming languages such as Python or Node.js and UI frameworks like HTML, CSS, TypeScript, Angular, or C# / WPF

• Very good technical understanding and sound knowledge of electric automation and mechatronic or robotic/end-of-arm systems is desirable • Knowledge of PLC-programming and industrial fieldbus protocols is advantageous

• Excellent command of written and spoken English communication skills

• Proficiency in modern development environments, interface design, and application lifecycle management (ALM) tools

• Analytical, customer-focused, collaborative, and proactive in problem-solving and continuous learning

• Open to occasional travel and short-term international assignments for customer or HQ collaboration

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

Cybersecurity Understanding Must

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

Job Summary

We're looking for a Senior Backend Software Development Engineer (SDE 2 and SDE 3) with deep technical expertise in building and operating production systems at scale. You'll own entire components/services within microservices and data pipelines that handle ~200K queries per second and process petabytes of data daily. This role demands hands-on coding excellence, strong Low-Level Design (LLD) skills, and complete ownership—from component architecture through infrastructure management to cost optimization. You'll architect solutions, lead technical decisions, and drive operational excellence while shipping code daily.

Key Responsibilities:

• Component Ownership: Own one or more critical components/services end-to-end—responsible for architecture, development, deployment, operations, and evolution
• Technical Ownership: Own the entire lifecycle of your components—design, implementation, testing, deployment, monitoring, incident response, and continuous improvement
• Low-Level Design: Create detailed technical designs (LLD) for complex systems—defining data models, APIs, concurrency patterns, and failure modes
• Hands-on Development: Write production-grade code daily—this is not a purely architectural role; you'll be deep in the codebase
• Infrastructure Ownership: Own and operate the infrastructure your components run on—capacity planning, scaling, reliability improvements
• Cost Management: Drive cost optimization for owned components—analyze spending, identify waste, implement efficient architectures
• Scale & Performance: Build and optimize systems handling 200K+ QPS and petabyte-scale data processing
• Observability: Design and implement comprehensive monitoring, alerting, and debugging capabilities for owned components
• Incident Leadership: Lead incident response for your components and related services, conduct post-mortems, drive systemic improvements
• On-Call Excellence: Participate in on-call rotations and ensure your components are operationally sound (runbooks, alerts, dashboards)
• Technical Roadmap: Define and drive the technical roadmap for your owned components—balancing feature development, tech debt, and operational improvements
• Technical Mentorship: Guide junior and mid-level engineers on system design, code quality, and production best practices
• Cross-functional Collaboration: Work with product, infra, and other eng teams to define requirements and deliver solutions
• Agile Execution: Break down complex projects, deliver incrementally in daily cadence, iterate based on feedback

Required Qualifications:

• Experience: 2+ years building and operating backend systems in production environments at scale
• Education: B.E./B.Tech in Computer Science or equivalent practical experience
• Component Ownership: Proven track record of owning significant components or services from inception to maturity—demonstrable end-to-end ownership
• Low-Level Design (LLD): Proven ability to create detailed technical designs—data structures, algorithms, API contracts, concurrency models, failure handling
• Programming Mastery: Expert-level proficiency in at least one modern language (Go, Python, Java, NodeJS etc.) with track record of writing maintainable, performant production code
• Databases: Deep hands-on experience with SQL and NoSQL databases—schema design, query optimization, indexing strategies, operational troubleshooting
• Microservices at Scale: Extensive experience building, deploying, and operating microservices handling high throughput and large data volumes
• Data Pipelines: Strong background designing and running data processing pipelines at scale (batch and/or streaming)
• Observability: Expert understanding of metrics, logging, tracing, and alerting—you know how to make systems debuggable
• Production Operations: Significant experience with incident response, on-call rotations, debugging live issues under pressure
• Infrastructure Knowledge: Hands-on experience managing infrastructure, understanding resource utilization, capacity planning
• Cost Consciousness: Experience analyzing and optimizing infrastructure costs at scale
• Distributed Systems: Strong fundamentals in distributed systems, concurrency, consistency models, and failure scenarios
• Accountability: Track record of taking full ownership—from design through deployment to ongoing operations and improvements

Preferred Qualifications:

• Experience with cloud platforms (GCP, AWS, or Azure) including cost management tools
• Kubernetes and container orchestration at scale
• Infrastructure as Code (Terraform, Pulumi, etc.)
• Streaming data systems (Kafka, Pub/Sub, Kinesis, Flink, etc.)
• SRE principles and reliability engineering practices
• Experience with FinOps or infrastructure cost optimization
• Performance profiling and optimization (CPU, memory, I/O)
• Technical leadership experience including mentorship of teams and driving multi-component initiatives
• Open source contributions or recognized technical writing

Job Description:

Test Design & Execution

Design and execute detailed, well-structured test plans, test cases, and test scenarios to ensure high-quality product releases.

Automation Development

Develop and maintain automated test scripts for functional and regression testing using tools such as Selenium, Cypress, or Playwright.

Defect Management

Identify, log, and track defects through to resolution using tools like Jira, ensuring minimal impact on production releases.

API & Backend Testing

Conduct API testing using Postman, perform backend validation, and execute database testing using SQL/Oracle.

Collaboration

Work closely with developers, product managers, and UX designers in an Agile/Scrum environment to embed quality across the SDLC.

CI/CD Integration

Integrate automated test suites into CI/CD pipelines using platforms such as Jenkins or Azure DevOps.

Required Skills & Experience

• Minimum 2+ years of experience in Software Quality Assurance or Automation Testing.
• Hands-on experience with Selenium WebDriver, Cypress, or Playwright.
• Proficiency in at least one programming/scripting language: Java, Python, or JavaScript.
• Strong experience in functional, regression, integration, and UI testing.
• Solid understanding of SQL for data validation and backend testing.
• Familiarity with Git for version control, Jira for defect tracking, and Postman for API testing.

Desirable Skills

• Experience in mobile application testing (Android/iOS).
• Exposure to performance testing tools such as JMeter.
• Experience working with cloud platforms like AWS or Azure.

We are looking for a Full Stack Developer to build scalable software solutions and contribute across the entire software development lifecycle—from conception to deployment.

You will work closely with cross-functional teams and should be comfortable with both front-end and back-end technologies, modern frameworks, and third-party libraries. If you enjoy building visually appealing, functional applications and thrive in Agile environments, we’d love to connect.

Current Technologies Used

• Backend: FastAPI (active), PHP (legacy), Java (legacy)
• Frontend: Svelte, TypeScript, JavaScript

Experience with Python and PHP is a plus, but not mandatory.

Role Responsibilities

• Collaborate with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build visually appealing front-end applications
• Develop and manage efficient databases and applications
• Write effective and scalable APIs
• Test software for responsiveness and performance
• Troubleshoot, debug, and upgrade systems
• Implement security and data-protection measures
• Build mobile-responsive features and applications
• Create and maintain technical documentation

Candidate Requirements:

Education

• B.Tech / BE in Computer Science, Statistics, or a relevant field

Experience

• 2–4 years as a Full Stack Developer or in a similar role

Location

• Bangalore (Hybrid)

Skill Set – Role Based

• Experience building web applications
• Familiarity with common technology stacks
• Knowledge of front-end languages and libraries:
• HTML, CSS, JavaScript, XML, jQuery
• Knowledge of back-end languages and frameworks:
• Java, Python, PHP
• Angular, React, Svelte, Node.js
• Familiarity with:
• Databases: PostgreSQL, MySQL, MongoDB
• Web servers: Apache
• UI/UX principles

Skill Set – Behavioural

• Excellent communication and teamwork skills
• Strong attention to detail
• Good organizational skills
• Analytical mindset

We're looking for an experienced Zoho Developer (2-4 years) to join our team! You'll work with internal teams to understand business requirements, configure and customize Zoho apps, and deliver end-to-end solutions. You'll also provide support, troubleshoot issues, and guide junior team members. Required skills include hands-on experience with Zoho Creator, CRM, Flow, Books, Analytics, and more, plus strong problem-solving and communication skills. Experience in client-facing roles and managing multiple projects is a plus.

We are looking for a Junior Full Stack Developer to join our growing engineering team and contribute to building high-quality software solutions. In this role, you will support the entire development lifecycle—from design to deployment—while working closely with product managers and senior engineers.

If you have a passion for technology, enjoy learning new tools, and thrive in a collaborative environment, we’d love to hear from you.

Current Technology Stack

• Backend: FastAPI (active), PHP (legacy), Java (legacy)
• Frontend: Svelte, TypeScript, JavaScript

Key Responsibilities

• Collaborate with development teams and product managers to ideate and deliver software solutions
• Assist in designing client-side and server-side architecture
• Contribute to building intuitive and visually appealing user interfaces
• Support database design and application development
• Help develop and maintain APIs
• Participate in testing to ensure performance, scalability, and responsiveness
• Assist in troubleshooting, debugging, and enhancing existing systems
• Support security and data-protection initiatives
• Contribute to mobile-responsive feature development
• Help maintain technical documentation

Candidate Requirements

Education

• B.Tech / BE in Computer Science, Statistics, or a related field

Location

• Bangalore

Role-Based Skills

• Exposure to web application development
• Familiarity with common technology stacks
• Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, XML, and jQuery
• Working understanding of back-end languages such as Java, Python, or PHP
• Familiarity with JavaScript frameworks/libraries like Angular, React, Svelte, or Node.js
• Awareness of databases such as PostgreSQL, MySQL, or MongoDB
• Basic understanding of web servers (e.g., Apache) and UI/UX principles

Behavioral Skills

• Strong communication and teamwork abilities
• High attention to detail
• Good organizational skills
• Analytical and problem-solving mindset

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.

Role Summary:-

We are looking for a Lead Data Engineer to design, build, and scale the or Customer data engineering platforms.

This role is hands-on and requires deep expertise in Python-based data engineering with Pyspark and use of Microsoft Fabric ecosystem. The candidate will work on building analytics-heavy workflows, converting business logic and analytical models into production-grade pipelines, and enabling enterprise-scale insights.

Key Responsibilities

• Design, develop, and maintain scalable Python-based data integration pipelines.
• Pandas, Numpy, Pyarrow, Polars, Dask etc.
• expertise with Pyspark !
• Build and optimize data workflows using Microsoft Fabric (Lakehouse, Pipelines, Notebooks, Dataflows Gen2).
• Convert complex business logic, Excel models, and analytical workflows into Python/Pyspark pipelines.
• Implement high-performance ETL / ELT pipelines for large-scale analytics.
• Ensure data quality, validation, reconciliation, and monitoring.
• Design robust data models and semantic layers for analytics and BI.
• Collaborate with analytics, BI, and product teams to deliver end-to-end data solutions.
• Mentor engineers and contribute to platform and team scaling.
• 
  

Required Skills & Experience

• 6+ years of experience in Data Engineering, with strong hands-on Python / Pyspark skills.
• Proven ability to translate Excel based mapping spreadsheets / business calculations into Python / Pyspark data engineering workflows.
• Experience working in a Lead / Senior Data Engineer capacity.
• Strong experience with Microsoft Fabric ecosystem.
• Strong SQL, data integration, and performance tuning skills.
• Experience with large-scale analytical data platforms (Databricks / Fabric / Synapse ).
• Ability to work independently with minimal supervision.

Required Skills & Qualifications

● Strong hands-on experience with LLM frameworks and models, including LangChain,

OpenAI (GPT-4), and LLaMA

● Proven experience in LLM orchestration, workflow management, and multi-agent

system design using frameworks such as LangGraph

● Strong problem-solving skills with the ability to propose end-to-end solutions and

contribute at an architectural/system design level

● Experience building scalable AI-backed backend services using FastAPI and

asynchronous programming patterns

● Solid experience with cloud infrastructure on AWS, including EC2, S3, and Load

Balancers

● Hands-on experience with Docker and containerization for deploying and managing

AI/ML applications

● Good understanding of Transformer-based architectures and how modern LLMs work

internally

● Strong skills in data processing and analysis using NumPy and Pandas

● Experience with data visualization tools such as Matplotlib and Seaborn for analysis

and insights

● Hands-on experience with Retrieval-Augmented Generation (RAG), including

document ingestion, embeddings, and vector search pipelines

● Experience in model optimization and training techniques, including fine-tuning,

LoRA, and QLoRA

Nice to Have / Preferred

● Experience designing and operating production-grade AI systems

● Familiarity with cost optimization, observability, and performance tuning for

LLM-based applications

● Exposure to multi-cloud or large-scale AI platforms

Job Description: Python Automation Engineer Location: Bangalore (Office-based) Experience: 1–2 Years Joining: Immediate to 30 Days Role Overview We are looking for a Python Automation Engineer who combines strong programming skills with hands-on automation expertise. This role involves developing automation scripts, designing automation frameworks, and contributing independently to automation solutions, with leads delegating tasks and solution directions. The ideal candidate is not a novice—they have solid real-world Python experience and are comfortable working across API automation, automation tooling, and CI/CD-driven environments. Key Responsibilities Design, develop, and maintain automation scripts and reusable automation frameworks using Python Build and enhance API automation for REST-based services and common backend frameworks Independently own automation tasks and deliver solutions with minimal supervision Collaborate with leads and engineering teams to understand automation requirements Maintain clean, modular, and scalable automation code Occasionally review automation code written by other team members Integrate automation suites with CI/CD pipelines Package and ship automation tools/frameworks using containerization Required Skills & Qualifications Python (Core Requirement) Strong, in-depth hands-on experience in Python, including: Object-Oriented Programming (OOP) and modular design Writing reusable libraries and frameworks Exception handling, logging, and debugging Asynchronous concepts, performance-aware coding Unit testing and test automation practices Code quality, readability, and maintainability API Automation Strong experience automating REST APIs Hands-on with common Python API libraries (e.g., requests, httpx, or equivalent) Understanding of API request/response handling, validations, and workflows Familiarity with different backend frameworks and fast APIs DevOps & Engineering Practices (Must-Have) Strong knowledge of Git Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab, or similar) Ability to integrate automation suites into pipelines Hands-on experience with Docker for shipping automation tools/frameworks Good-to-Have Skills UI automation using Selenium (Page Object Model, cross-browser testing, headless execution) Exposure to Playwright for UI automation Basic working knowledge of Java and/or JavaScript (reading, writing small scripts, debugging) Understanding of API authentication, retries, mocking, and related best practices Domain Exposure Experience or interest in SaaS platforms Exposure to AI / ML-based platforms is a plus What We’re Looking For A strong engineering mindset, not just tool usage Someone who can build automation systems, not only execute test cases Comfortable working independently while aligning with technical leads Passion for clean code, scalable automation, and continuous improvement SKILLA IN 1 WORKKD TO PUT IN KEYSKILL SECTION 

Job Description:

Summary

The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure. They must have experience with SQL and Python.

Roles & Responsibilities:

● Collaborate with product, business, and engineering stakeholders to understand key metrics, data needs, and reporting pain points.

● Design, build, and maintain clean, scalable, and reliable data models using DBT.

● Write performant SQL and Python code to transform raw data into structured marts and reporting layers.

● Create dashboards using Tableau or similar tools.

● Work closely with data platform engineers, architects, and analysts to ensure data pipelines are resilient, well-governed, and high quality.

● Define and maintain source-of-truth metrics and documentation in the analytics layer.

● Partner with product engineering teams to understand new features and ensure appropriate

instrumentation and event collection.

● Drive reporting outcomes by building dashboards or working with BI teams to ensure timely delivery of insights.

● Help scale our analytics engineering practice by contributing to internal tooling, frameworks, and best practices.

Who You Are:

Experience : 3 to 4 years of experience in analytics/data engineering, with strong hands-on expertise in DBT, SQL, Python and dashboarding tools.

● Experience working with modern data stacks (e.g., Snowflake, BigQuery, Redshift, Airflow).

● Strong data modeling skills (dimensional, star/snowflake schema, data vault, etc.).

● Excellent communication and stakeholder management skills.

● Ability to work independently and drive business outcomes through data.

● Exposure to product instrumentation and working with event-driven data is a plus.

● Prior experience in a fast-paced, product-led company is preferred.

We are seeking a Data Engineer with 3–4 years of relevant experience to join our team. The ideal candidate should have strong expertise in Python and SQL and be available to join immediately.

Location: Bangalore

Experience: 3–4 Years

Joining: Immediate Joiner preferred

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data models
• Extract, transform, and load (ETL) data from multiple sources
• Write efficient and optimized SQL queries for data analysis and reporting
• Develop data processing scripts and automation using Python
• Ensure data quality, integrity, and performance across systems
• Collaborate with cross-functional teams to support business and analytics needs
• Troubleshoot data-related issues and optimize existing processes

Required Skills & Qualifications:

• 3–4 years of hands-on experience as a Data Engineer or similar role
• Strong proficiency in Python and SQL
• Experience working with relational databases and large datasets
• Good understanding of data warehousing and ETL concepts
• Strong analytical and problem-solving skills
• Ability to work independently and in a team-oriented environment

Preferred:

• Experience with cloud platforms or data tools (added advantage)
• Exposure to performance tuning and data optimization

What you’ll do

• Build and scale backend services and APIs using Python
• Work on cross-language integrations (Python ↔ PHP)
• Develop frontend features using React (Angular is a plus)
• Deploy, monitor, and manage applications on AWS
• Own features end-to-end: development, performance, and reliability
• Collaborate closely with product, QA, and engineering teams

Tech Stack

• Backend: Python (working knowledge of PHP is a strong plus)
• Frontend: React (Angular is a plus)
• Cloud: AWS
• Version Control: Git / GitHub

Experience

• 
  
• 5–10 years of professional software development experience
• Strong hands-on experience with Python
• Hands-on experience deploying and managing applications on AWS
• Working knowledge of modern frontend frameworks

We are seeking an experienced Engineering Leader to drive the design and delivery of secure, scalable, and high-performance financial platforms. This role requires strong technical leadership, people management skills, and deep understanding of FinTech systems, compliance, and reliability.

 Key Responsibilities

• Lead multiple engineering teams delivering FinTech platforms (payments, lending, banking, wallets, trading, or risk systems)
• Own architecture and system design for high-availability, low-latency, secure systems
• Partner with Product, Compliance, Risk, and Business teams to translate financial requirements into technical solutions
• Ensure adherence to security standards, regulatory compliance (PCI-DSS, SOC2, ISO), and data privacy
• Drive best practices in coding, testing, DevOps, observability, and system resilience
• Build, mentor, and retain high-performing engineering teams
• Oversee sprint planning, delivery timelines, and stakeholder communication
• Lead incident response, root cause analysis, and platform stability improvements

Required Skills & Qualifications

• 4+ years in leadership roles
• Strong hands-on expertise in Java / Node.js / Python / .NET / Go
• Experience building FinTech platforms — payments, banking, lending, trading, or risk systems
• Deep knowledge of distributed systems, microservices, APIs, databases, and cloud (AWS/Azure/GCP)
• Strong understanding of security, fraud prevention, and regulatory compliance
• Experience working in Agile/Scrum environments
• Excellent stakeholder and people management skills

Job Details

- Job Title: Java Full Stack Developer 

- Industry: Global digital transformation solutions provider

- Domain: Information technology (IT)

- Experience Required: 5-7 years

- Working Mode: 3 days in office, Hybrid model.

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

SDET (Software Development Engineer in Test)

Job Responsibilities:

• Test Automation: • Develop, maintain, and execute automated test scripts using test automation frameworks. • Design and implement testing tools and frameworks to support automated testing.

• Software Development: • Participate in the design and development of software components to improve testability. • Write code actively, contribute to the development of tools, and work closely with developers to debunk complex issues.

• Quality Assurance: • Collaborate with the development team to understand software features and technical implementations. • Develop quality assurance standards and ensure adherence to the best testing practices.

• Integration Testing: • Conduct integration and functional testing to ensure that components work as expected individually and when combined.

• Performance and Scalability Testing: • Perform performance and scalability testing to identify bottlenecks and optimize application performance. • Test Planning and Execution: • Create detailed, comprehensive, and well-structured test plans and test cases. • Execute manual and/or automated tests and analyze results to ensure product quality.

• Bug Tracking and Resolution: • Identify, document, and track software defects using bug tracking tools. • Verify fixes and work closely with developers to resolve issues. • Continuous Improvement: • Stay updated on emerging tools and technologies relevant to the SDET role. • Constantly look for ways to improve testing processes and frameworks.

Skills and Qualifications: • Strong programming skills, particularly in languages such as COBOL, JCL, Java, C#, Python, or JavaScript. • Strong experience in Mainframe environments. • Experience with test automation tools and frameworks like Selenium, JUnit, TestNG, or Cucumber. • Excellent problem-solving skills and attention to detail. • Familiarity with CI/CD tools and practices, such as Jenkins, Git, Docker, etc. • Good understanding of web technologies and databases is often beneficial. • Strong communication skills for interfacing with cross-functional teams.

Qualifications • 5+ years of experience as a software developer, QA Engineer, or SDET. • 5+ years of hands-on experience with Java or Selenium. • 5+ years of hands-on experience with Mainframe environments. • 4+ years designing, implementing, and running test cases. • 4+ years working with test processes, methodologies, tools, and technology. • 4+ years performing functional and UI testing, quality reporting. • 3+ years of technical QA management experience leading on and offshore resources. • Passion around driving best practices in the testing space. • Thorough understanding of Functional, Stress, Performance, various forms of regression testing and mobile testing. • Knowledge of software engineering practices and agile approaches. • Experience building or improving test automation frameworks. • Proficiency CICD integration and pipeline development in Jenkins, Spinnaker or other similar tools. • Proficiency in UI automation (Serenity/Selenium, Robot, Watir). • Experience in Gherkin (BDD /TDD). • Ability to quickly tackle and diagnose issues within the quality assurance environment and communicate that knowledge to a varied audience of technical and non-technical partners. • Strong desire for establishing and improving product quality. • Willingness to take challenges head on while being part of a team. • Ability to work under tight deadlines and within a team environment. • Experience in test automation using UFT and Selenium. • UFT/Selenium experience in building object repositories, standard & custom checkpoints, parameterization, reusable functions, recovery scenarios, descriptive programming and API testing. • Knowledge of VBScript, C#, Java, HTML, and SQL. • Experience using GIT or other Version Control Systems. • Experience developing, supporting, and/or testing web applications. • Understanding of the need for testing of security requirements. • Ability to understand API – JSON and XML formats with experience using API testing tools like Postman, Swagger or SoapUI. • Excellent communication, collaboration, reporting, analytical and problem-solving skills. • Solid understanding of Release Cycle and QA /testing methodologies • ISTQB certification is a plus.

Skills: Python, Mainframe, C#

Notice period - 0 to 15days only

About the Role 

We're seeking a Python Backend Developer to join our insurtech analytics team. This role focuses on developing backend APIs, automating insurance reporting processes, and supporting data analysis tools. You'll work with insurance data, build REST APIs, and help streamline operational workflows through automation. 

Key Responsibilities 

• Automate insurance reporting processes including bordereaux, reconciliations, and data extraction from various file formats 
• Support and maintain interactive dashboards and reporting tools for business stakeholders 
• Develop Python scripts and applications for data processing, validation, and transformation 
• Develop and maintain backend APIs using FastAPI or Flask 
• Perform data analysis and generate insights from insurance datasets 
• Automate recurring analytical and reporting tasks 
• Work with SQL databases to query, analyze, and extract data 
• Collaborate with business users to understand requirements and deliver solutions 
• Document code, processes, and create user guides for dashboards and tools 
• Support data quality initiatives and implement validation checks 

Requirements 

Essential 

• 2+ years of Python development experience 
• Strong knowledge of Python libraries: Pandas, NumPy for data manipulation 
• Experience building web applications or dashboards with Python frameworks 
• Knowledge of FastAPI or Flask for building backend APIs and applications 
• Proficiency in SQL and working with relational databases 
• Experience with data visualization libraries (Matplotlib, Plotly, Seaborn) 
• Ability to work with Excel, CSV, and other data file formats 
• Strong problem-solving and analytical thinking skills 
• Good communication skills to work with non-technical stakeholders 

Desirable 

• Experience in insurance or financial services industry 
• Familiarity with insurance reporting processes (bordereaux, reconciliations, claims data) 
• Experience with Azure cloud services (Azure Functions, Blob Storage, SQL Database) 
• Experience with version control systems (Git, GitHub, Azure DevOps) 
• Experience with API development and RESTful services 

Tech Stack 

Python 3.x, FastAPI, Flask, Pandas, NumPy, Plotly, Matplotlib, SQL Server, MS Azure, Git, Azure DevOps, REST APIs, Excel/CSV processing libraries 

Employment Type: Full-time, Permanent

Location: Near Bommasandra Metro Station, Bangalore (Work from Office – 5 days/week)

Notice Period: 15 days or less preferred

About the Company:

SimStar Asia Ltd is a joint vendor of the SimGems and StarGems Group — a Hong Kong–based multinational organization engaged in the global business of conflict-free, high-value diamonds.

SimStar maintains the highest standards of integrity. Any candidate found engaging in unfair practices at any stage of the interview process will be disqualified and blacklisted.

Experience Required

• 4+ years of relevant professional experience.

Key Responsibilities

• Hands-on backend development using Python (mandatory).
• Write optimized and complex SQL queries; perform query tuning and performance optimization.
• Work extensively with the Odoo framework, including development and deployment.
• Manage deployments using Docker and/or Kubernetes.
• Develop frontend components using OWL.js or any modern JavaScript framework.
• Design scalable systems with a strong foundation in Data Structures, Algorithms, and System Design.
• Handle API integrations and data exchange between systems.
• Participate in technical discussions and architecture decisions.

Interview Expectations

• Candidates must be comfortable writing live code during interviews.
• SQL queries and optimization scenarios will be part of the technical assessment.

Must-Have Skills

• Python backend development
• Advanced SQL
• Odoo Framework & Deployment
• Docker / Kubernetes
• JavaScript frontend (OWL.js preferred)
• System Design fundamentals
• API integration experience

About Snabbit: Snabbit is India’s first Quick-Service App, delivering home services in just 15 minutes through a hyperlocal network of trained and verified professionals. Backed by Nexus Venture Partners (investors in Zepto, Unacademy, and Ultrahuman), Snabbit is redefining convenience in home services with quality and speed at its core. Founded by Aayush Agarwal, former Chief of Staff at Zepto, Snabbit is pioneering the Quick-Commerce revolution in services. In a short period, we’ve completed thousands of jobs with unmatched customer satisfaction and are scaling rapidly.

At Snabbit, we don’t just build products—we craft solutions that transform everyday lives. This is a playground for engineers who love solving complex problems, building systems from the ground up, and working in a fast-paced, ownership-driven environment. You’ll work alongside some of the brightest minds, pushing boundaries and creating meaningful impact at scale.

Responsibilities: ● Design, implement, and maintain backend services and APIs

● Develop and architect complex UI features for iOS and Android apps using Flutter

● Write high-quality, efficient, and maintainable code, adhering to industry best practices.

● Participate in design discussions to develop scalable solutions and implement them.

● Take ownership of feature delivery timelines and coordinate with cross-functional teams

● Troubleshoot and debug issues to ensure smooth system operations. ● Design, develop, and own end-to-end features for in-house software and tools

● Optimize application performance and implement best practices for mobile development

● Deploy and maintain services infrastructure on AWS. Requirements: ● Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

● Experience: ○ 3-5 years of hands-on experience as a full-stack developer.

○ Expertise in developing backend services and mobile applications.

○ Experience in leading small technical projects or features

○ Proven track record of delivering complex mobile applications to production

● Technical Skills:

○ Strong knowledge of data structures, algorithms, and design patterns. ○ Proficiency in Python and Advanced proficiency in Flutter with deep understanding of widget lifecycle and state management

○ Proficiency in RESTful APIs and microservices architecture ○ Knowledge of mobile app deployment processes and app store guidelines

○ Familiarity with version control systems (Git) and agile development methodologies

○ Experience with AWS or other relevant cloud technologies

○ Experience with databases (SQL, NoSQL) and data modeling

● Soft Skills:

○ Strong problem-solving and debugging abilities with ability to handle complex technical challenges and drive best practices within the team

○ Leadership qualities with ability to mentor and guide junior developers ○ Strong stakeholder management and client communication skills

○ A passion for learning and staying updated with technology trends.

At Shipthis, we work to build a better future and make meaningful changes in the freight forwarding industry. Our team members aren't just employees. We are comprised of bright, skilled professionals with a single straightforward goal – to Evolve Freight forwarders towards

Digitalized operations, enhancing efficiency, and driving lasting change.

As a company, we're just the right size for every person to take initiative and make things happen. Join us in reshaping the future of logistics and be part of a journey where your contributions make a tangible difference.

Learn more at www.shipthis.co

Job Description

Who are we looking for?

We are seeking a skilled Developer who is experienced in Python with E2E project implementation to join our team. 

What will you be doing?

• Design and develop backend services for the ERP system using Python and MongoDB
• Collaborate with the frontend development team to integrate the frontend and backend functionalities
• Develop and maintain APIs that are efficient, scalable, and secure
• Write efficient and reusable code that can be easily maintained and updated
• Optimize backend services to improve performance and scalability
• Troubleshoot and resolve backend issues and bugs

Desired qualifications include

• Bachelor’s degree in computer science or a related field
• Proven experience in Python Fast API with E2E project implementation 
• Proficiency with DevOps and Pipelines (Git actions, Google Cloud Platform)
• Knowledge of microservices architecture
• Experience in MongoDB development, including Aggregation 
• Proficiency in RESTful API development
• Experience with the Git version control system
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced environment

We welcome candidates

• Who is an Immediate Joiner
• Female candidates returning to work after a career break are strongly encouraged to apply 
• Whether you're seasoned or just starting out, if you have the skills and passion, we invite you to apply.

We are an equal-opportunity employer and are committed to fostering diversity and inclusivity. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, or disability status

JOB SYNOPSIS

• Location: Bangalore
• Job Type: Full-time
• Role: Software Developer
• Industry Type: Software Product
• Functional Area: Software Development
• Employment Type: Full-Time, Permanent

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

We are looking for a Python Backend Developer to design, build, and maintain scalable backend services and APIs. The role involves working with modern Python frameworks, databases (SQL and NoSQL), and building well-tested, production-grade systems.

You will collaborate closely with frontend developers, AI/ML engineers, and system architects to deliver reliable and high-performance backend solutions.

Key Responsibilities

• Design, develop, and maintain backend services using Python
• Build and maintain RESTful APIs using FastAPI
• Design efficient data models and queries using MongoDB and SQL databases (PostgreSQL/MySQL)
• Ensure high performance, security, and scalability of backend systems
• Write unit tests, integration tests, and API tests to ensure code reliability
• Debug, troubleshoot, and resolve production issues
• Follow clean code practices, documentation, and version control workflows
• Participate in code reviews and contribute to technical discussions
• Work closely with cross-functional teams to translate requirements into technical solutions

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with FastAPI
• Experience with MongoDB (schema design, indexing, aggregation)
• Solid understanding of SQL databases and relational data modelling
• Experience writing and maintaining automated tests
• Unit testing (e.g., pytest)
• API testing
• Understanding of REST API design principles
• Familiarity with Git and collaborative development workflows

Good to Have

• Experience with async programming in Python (async/await)
• Knowledge of ORMs/ODMs (SQLAlchemy, Tortoise, Motor, etc.)
• Basic understanding of authentication & authorisation (JWT, OAuth)
• Exposure to Docker / containerised environments
• Experience working in Agile/Scrum teams

What We Value

• Strong problem-solving and debugging skills
• Attention to detail and commitment to quality
• Ability to write testable, maintainable, and well-documented code
• Ownership mindset and willingness to learn
• Teamwork

What We Offer

• Opportunity to work on real-world, production systems
• Technically challenging problems and ownership of components
• Collaborative engineering culture

Review Criteria:

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Must have strong experience in working on Typescript
• Must have experience in message-based systems like Kafka, RabbitMq, Redis
• Databases - PostgreSQL & NoSQL databases like MongoDB
• Product Companies Only
• Tier 1 Engineering Institutes preferred (IIT, NIT, BITS, IIIT, DTU or equivalent)

Preferred:

• Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Experience in mentoring, coaching the team.

Role & Responsibilities:

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high-quality cloud-based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate:

• Thorough knowledge of developing cloud-based software including backend APIs and react based frontend.
• Thorough knowledge of scalable design patterns and message-based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, SQL etc.
• Experience with AWS services such as S3, IAM, Lambda etc.
• Expert level coding skills in Python FastAPI/Django, NodeJs, TypeScript, ReactJs.
• Eye for user responsive designs on the frontend.

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.

Experience Range: 5-8 Years

Role: Full Stack Developer

Key Responsibilities:

• Develop and maintain scalable web applications using React for frontend and Python (fast API/Flask/Django) for backend.
• Work with databases such as SQL, Postgres and MongoDB to design and manage robust data structures.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and fix bottlenecks and bugs.

·      Others: AWS, Snowflake, Azure, JIRA, CI/CD pipelines 

Key Requirements:

• React: Extensive experience in building complex frontend applications.
• Must to Have: Experience with Python (FAST API/ FLASK/ DJANGO).
• Required cloud experience – AWS OR Azure
• Experience with databases like SQL Postgres and MongoDB.
• Basic understanding of Data Fabric – Good to have
• Ability to work independently and as part of a team.
• Excellent problem-solving skills and attention to detail.

 What We Offer 

•  Professional Development and Mentorship.
•  Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
•  Health and Family Insurance.
•  40+ Leaves per year along with maternity & paternity leaves.
•  Wellness, meditation and Counselling sessions.

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

Qualifications:

• 3+ years of professional software development experience, with a strong focus on backend development.
• Proficiency in one or more programming languages such as Java, Python or Golang
• Strong understanding of database systems, relational (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and columnar (SingleStore, Redshift, BigQuery, Snowflake)
• Hands-on experience with message brokers such as Kafka, RabbitMQ, or Amazon SQS.
• Experience with cloud platforms (AWS or Azure or Google Cloud) and containerization technologies (Docker, Kubernetes).
• Proven track record of designing and implementing scalable, high-performance systems.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

Full‑Stack Engineer (Python/Django & Next.js)

Location: Bangalore

Experience: 2–8 years of hands‑on full‑stack development

We’re looking for a passionate Full‑Stack Engineer to join our team and help build secure, scalable systems that power exceptional customer experiences.

Key Skills -

• Architect and develop secure, scalable applications

• Collaborate closely with product & design teams

• Manage CI/CD pipelines and deployments

• Mentor engineers and enforce coding best practices

What we’re looking for:

• Strong expertise in Python/Django & Next.js/React

• Hands‑on with PostgreSQL, Docker, AWS/GCP

• Experience leading engineering teams

• Excellent problem‑solving & communication skills

If you’re excited about building impactful products and driving engineering excellence. Apply now !!

The Opportunity

Planview is looking for a passionate Sr Data Scientist to join our team tasked with developing innovative tools for connected work. You are an experienced expert in supporting enterprise

 applications using Data Analytics, Machine Learning, and Generative AI.

You will use this experience to lead other data scientists and data engineers. You will also effectively engage with product teams to specify, validate, prototype, scale, and deploy features with a consistent customer experience across the Planview product suite.

Responsibilities (What you'll do)

• Enable Data Science features within Planview applications by working in a fast-paced start-up mindset.
• Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring that these features are optimized for operational efficiency.
• Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment.
• Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors.
• Effectively communicate ideas drawn from complex data with clarity and insight.

Qualifications (What you'll bring)

• Master’s in operations research, Statistics, Computer Science, Data Science, or related field.
• 8+ years of experience as a data scientist, data engineer, or ML engineer.
• Demonstrable history for bringing Data Science features to Enterprise applications.
• Exceptional Python and SQL coding skills.
• Experience with Optimization, Machine Learning, Generative AI, NLP, Statistics, and Simulation.
• Experience with AWS Data and ML Technologies (Sagemaker, Glue, Athena, Redshift)

Preferred qualifications:

• Experience working with datasets in the domains of project management, software development, and resource planning.
• Experience with common libraries and frameworks in data science (Scikit Learn, TensorFlow, PyTorch).
• Experience with ML platform tools (AWS SageMaker).
• Skilled at working as part of a global, diverse workforce of high-performing individuals.
• AWS Certification is a plus

Note : Apply only if applicants are open to work on-site in Bangalore.

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us.

The Opportunity



Senior Software Development Engineer is responsible for Architecting, Developing & Testing the Autonomize Health platform & applications including the UI, middleware, backend data pipelines, APIs, and cloud operations architecture.

You’re a Fit If You Have

• 7+ years of experience building web applications from scratch, owning the journey from idea → architecture → implementation → deployment → scale.
• Strong experience in designing and architecting scalable, resilient, production-grade systems, with a clear understanding of performance, reliability, and fault tolerance.
• Extensive, hands-on experience in Python and JavaScript (primary languages).
• Experience with Node.js is required.
• Experience with TypeScript and React.js is highly valued.
• Strong understanding of RESTful API design, API versioning, authentication/authorization, and best practices for building scalable backend services.
• Deep experience with Microservices architecture, including service decomposition, inter-service communication, observability, and failure handling.
• Strong database expertise with hands-on experience in: Relational databases: PostgreSQL, MySQL, NoSQL databases: MongoDB
• Experience in schema design, query optimization, indexing, and data modeling for scale.
• Sound exposure to Python and/or JavaScript-based backend frameworks such as Django, Flask, or similar.
• Strong experience with containerization and orchestration, including: Docker, Kubernetes (deployment, scaling, configuration, troubleshooting)
• Hands-on experience working with event-driven and distributed systems, including: Kafka, ActiveMQ, and/or Redis
• Experience working with at least one major public cloud platform: AWS, Azure, or GCP
• Experience deploying, scaling, and managing cloud-native applications.
• Experience building end-to-end systems from an architectural point of view — making design decisions, evaluating trade-offs, and executing with minimal supervision.
• Experience in integrating, deploying, and operationalizing Machine Learning / Deep Learning models into real-world production systems.
• Solid understanding of Data Structures & Algorithms (DSA) and ability to apply them to solve real-world engineering problems.
• Familiarity with Agile / Rapid development processes and working in fast-paced, evolving environments.
• Strong interpersonal communication skills, including client interaction, technical discussions, and collaborative problem-solving.

Bonus Points:

• Experience leading and mentoring teams, driving quality and delivery through Technical direction, Code reviews
• Hands-on problem solving
• Experience working closely with stakeholders and product teams to translate business needs into clear, actionable engineering requirements.
• Familiarity with visualization libraries such as D3.js.
• Familiarity with AI/ML and Data Analytics frameworks.
• Experience with search, graph, or analytics databases, such as: Elasticsearch (ELK stack), Graph databases (Neo4j, TigerGraph, etc.)
• Exposure to OpenAI APIs and modern AI platform integrations.
• Strong owner mentality — self-directed, hands-on, needs minimal supervision, and takes accountability for quality, usability, and system reliability.
• A builder’s mindset: “learn it all” over “know it all”, always experimenting, iterating, and improving.
• Ability to design, architect, and rapidly deliver complex systems with minimal direction.
• Comfortable owning key product deliverables while collaborating effectively with cross-functional teams.
• Passionate, unafraid to take responsibility, and deeply committed to the team and mission.
• Loves to learn, build, and win together.
• Strong communication skills across voice, writing, chat, and video, and experience working with remote / global teams.

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

We are seeking a highly skilled and experienced Python Developer with a strong background in fintech to join our dynamic team. The ideal candidate will have at least 7+ years of professional experience in Python development, with a proven track record of delivering high-quality software solutions in the fintech industry.

Responsibilities:

Design, build, and maintain RESTful APIs using Django and Django Rest Framework.

Integrate AI/ML models into existing applications to enhance functionality and provide data-driven insights.

Collaborate with cross-functional teams, including product managers, designers, and other developers, to define and implement new features and functionalities.

Manage deployment processes, ensuring smooth and efficient delivery of applications.

Implement and maintain payment gateway solutions to facilitate secure transactions.

Conduct code reviews, provide constructive feedback, and mentor junior members of the development team.

Stay up-to-date with emerging technologies and industry trends, and evaluate their potential impact on our products and services.

Maintain clear and comprehensive documentation for all development processes and integrations.

Requirements:

Proficiency in Python and Django/Django Rest Framework.

Experience with REST API development and integration.

Knowledge of AI/ML concepts and practical experience integrating AI/ML models.

Hands-on experience with deployment tools and processes.

Familiarity with payment gateway integration and management.

Strong understanding of database systems (SQL, PostgreSQL, MySQL).

Experience with version control systems (Git).

Strong problem-solving skills and attention to detail.

Excellent communication and teamwork skills.

Job Types: Full-time, Permanent

Work Location: In person

About Us

MIC Global is a full-stack micro-insurance provider, purpose-built to design and deliver embedded parametric micro-insurance solutions to platform companies. Our mission is to make insurance more accessible for new, emerging, and underserved risks using our MiIncome loss-of-income products, MiConnect, MiIdentity, Coverpoint technology, and more — backed by innovative underwriting capabilities as a Lloyd’s Coverholder and through our in-house reinsurer, MicRe.

We operate across 12+ countries, with our Global Operations Center in Bangalore supporting clients worldwide, including a leading global ride-hailing platform and a top international property rental marketplace. Our distributed teams across the UK, USA, and Asia collaborate to ensure that no one is beyond the reach of financial security.

About the Team 

As a Lead Data Specialist at MIC Global, you will play a key role in transforming data into actionable insights that inform strategic and operational decisions. You will work closely with Product, Engineering, and Business teams to analyze trends, build dashboards, and ensure that data pipelines and reporting structures are accurate, automated, and scalable.

This is a hands-on, analytical, and technically focused role ideal for someone experienced in data analytics and engineering practices. You will use SQL, Python, and modern BI tools to interpret large datasets, support pricing models, and help shape the data-driven culture across MIC Global

Key Roles and Responsibilities 

Data Analytics & Insights

• Analyze complex datasets to identify trends, patterns, and insights that support business and product decisions.
• Partner with Product, Operations, and Finance teams to generate actionable intelligence on customer behavior, product performance, and risk modeling.
• Contribute to the development of pricing models, ensuring accuracy and commercial relevance.
• Deliver clear, concise data stories and visualizations that drive executive and operational understanding.
• Develop analytical toolkits for underwriting, pricing and claims 

Data Engineering & Pipeline Management

• Design, implement, and maintain reliable data pipelines and ETL workflows.
• Write clean, efficient scripts in Python for data cleaning, transformation, and automation.
• Ensure data quality, integrity, and accessibility across multiple systems and environments.
• Work with Azure data services to store, process, and manage large datasets efficiently.

Business Intelligence & Reporting

• Develop, maintain, and optimize dashboards and reports using Power BI (or similar tools).
• Automate data refreshes and streamline reporting processes for cross-functional teams.
• Track and communicate key business metrics, providing proactive recommendations.

Collaboration & Innovation

• Collaborate with engineers, product managers, and business leads to align analytical outputs with company goals.
• Support the adoption of modern data tools and agentic AI frameworks to improve insight generation and automation.
• Continuously identify opportunities to enhance data-driven decision-making across the organization.

Ideal Candidate Profile

• 10+ years of relevant experience in data analysis or business intelligence, ideally
• within product-based SaaS, fintech, or insurance environments.
• Proven expertise in SQL for data querying, manipulation, and optimization.
• Hands-on experience with Python for data analytics, automation, and scripting.
• Strong proficiency in Power BI, Tableau, or equivalent BI tools.
• Experience working in Azure or other cloud-based data ecosystems.
• Solid understanding of data modeling, ETL processes, and data governance.
• Ability to translate business questions into technical analysis and communicate findings effectively.

Preferred Attributes

• Experience in insurance or fintech environments, especially operations, and claims analytics.
• Exposure to agentic AI and modern data stack tools (e.g., dbt, Snowflake, Databricks).
• Strong attention to detail, analytical curiosity, and business acumen.
• Collaborative mindset with a passion for driving measurable impact through data.

Benefits

• 33 days of paid holiday
• Competitive compensation well above market average
• Work in a high-growth, high-impact environment with passionate, talented peers
• Clear path for personal growth and leadership development

About Us

MIC Global is a full-stack micro-insurance provider, purpose-built to design and deliver embedded parametric micro-insurance solutions to platform companies. Our mission is to make insurance more accessible for new, emerging, and underserved risks using our MiIncome loss-of-income products, MiConnect, MiIdentity, Coverpoint technology, and more — backed by innovative underwriting capabilities as a Lloyd’s Coverholder and through our in-house reinsurer, MicRe.

We operate across 12+ countries, with our Global Operations Center in Bangalore supporting clients worldwide, including a leading global ride-hailing platform and a top international property rental marketplace. Our distributed teams across the UK, USA, and Asia collaborate to ensure that no one is beyond the reach of financial security.

About the Team 

We're seeking a mid-level Data Engineer with strong DBA experience to join our insurtech data analytics team. This role focuses on supporting various teams including infrastructure, reporting, and analytics. You'll be responsible for SQL performance optimization, building data pipelines, implementing data quality checks, and helping teams with database-related challenges. You'll work closely with the infrastructure team on production support, assist the reporting team with complex queries, and support the analytics team in building visualizations and dashboards.

Key Roles and Responsibilities 

Database Administration & Optimization

• Support infrastructure team with production database issues and troubleshooting
• Debug and resolve SQL performance issues, identify bottlenecks, and optimize queries
• Optimize stored procedures, functions, and views for better performance
• Perform query tuning, index optimization, and execution plan analysis
• Design and develop complex stored procedures, functions, and views
• Support the reporting team with complex SQL queries and database design

Data Engineering & Pipelines

• Design and build ETL/ELT pipelines using Azure Data Factory and Python
• Implement data quality checks and validation rules before data enters pipelines
• Develop data integration solutions to connect various data sources and systems
• Create automated data validation, quality monitoring, and alerting mechanisms
• Develop Python scripts for data processing, transformation, and automation
• Build and maintain data models to support reporting and analytics requirements

Support & Collaboration

• Help data analytics team build visualizations and dashboards by providing data models and queries
• Support reporting team with data extraction, transformation, and complex reporting queries
• Collaborate with development teams to support application database requirements
• Provide technical guidance and best practices for database design and query optimization

Azure & Cloud

• Work with Azure services including Azure SQL Database, Azure Data Factory, Azure Storage, Azure Functions, and Azure ML
• Implement cloud-based data solutions following Azure best practices
• Support cloud database migrations and optimizations
• Work with Agentic AI concepts and tools to build intelligent data solutions

Ideal Candidate Profile

Essential

• 5-8 years of experience in data engineering and database administration
• Strong expertise in MS SQL Server (2016+) administration and development
• Proficient in writing complex SQL queries, stored procedures, functions, and views
• Hands-on experience with Microsoft Azure services (Azure SQL Database, Azure Data Factory, Azure Storage)
• Strong Python scripting skills for data processing and automation
• Experience with ETL/ELT design and implementation
• Knowledge of database performance tuning, query optimization, and indexing strategies
• Experience with SQL performance debugging tools (XEvents, Profiler, or similar)
• Understanding of data modeling and dimensional design concepts
• Knowledge of Agile methodology and experience working in Agile teams
• Strong problem-solving and analytical skills
• Understanding of Agentic AI concepts and tools
• Excellent communication skills and ability to work with cross-functional teams

Desirable

• Knowledge of insurance or financial services domain
• Experience with Azure ML and machine learning pipelines
• Experience with Azure DevOps and CI/CD pipelines
• Familiarity with data visualization tools (Power BI, Tableau)
• Experience with NoSQL databases (Cosmos DB, MongoDB)
• Knowledge of Spark, Databricks, or other big data technologies
• Azure certifications (Azure Data Engineer Associate, Azure Database Administrator Associate)
• Experience with version control systems (Git, Azure Repos)

Tech Stack

• MS SQL Server 2016+, Azure SQL Database, Azure Data Factory, Azure ML, Azure Storage, Azure Functions, Python, T-SQL, Stored Procedures, ETL/ELT, SQL Performance Tools (XEvents, Profiler), Agentic AI Tools, Azure DevOps, Power BI, Agile, Git

Benefits

• 33 days of paid holiday
• Competitive compensation well above market average
• Work in a high-growth, high-impact environment with passionate, talented peers
• Clear path for personal growth and leadership development

Job Description

Key Responsibilities

• API & Service Development:
• Build RESTful and GraphQL APIs for e-commerce, order management, inventory, pricing, and promotions.
• Database Management:
• Design efficient schemas and optimize performance across SQL and NoSQL data stores.
• Integration Development:
• Implement and maintain integrations with ERP (SAP B1, ERPNext), CRM, logistics, and third-party systems.
• System Performance & Reliability:
• Write scalable, secure, and high-performance code to support real-time retail operations.
• Collaboration:
• Work closely with frontend, DevOps, and product teams to ship new features end-to-end.
• Testing & Deployment:
• Contribute to CI/CD pipelines, automated testing, and observability improvements.
• Continuous Improvement:
• Participate in architecture discussions and propose improvements to scalability and code quality.

Requirements

Required Skills & Experience

• 3–5 years of hands-on backend development experience in Node.js, Python, or Java.
• Strong understanding of microservices, REST APIs, and event-driven architectures.
• Experience with databases such as MySQL/PostgreSQL (SQL) and MongoDB/Redis (NoSQL).
• Hands-on experience with AWS / GCP and containerization (Docker, Kubernetes).
• Familiarity with Git, CI/CD, and code review workflows.
• Good understanding of API security, data protection, and authentication frameworks.
• Strong problem-solving skills and attention to detail.

Nice to Have

• Experience in e-commerce or omnichannel retail platforms.
• Exposure to ERP / OMS / WMS integrations.
• Familiarity with GraphQL, Serverless, or Kafka / RabbitMQ.
• Understanding of multi-brand or multi-country architecture challenges.

Who we are

We’re Fluxon, a product development team founded by ex-Googlers and startup founders. We offer full-cycle software development from ideation and design to build and go-to-market. We partner with visionary companies, ranging from fast-growing startups to tech leaders like

Google and Stripe, to turn bold ideas into products with the power to transform the world.

About the role

As an AI Engineer at Fluxon, you’ll take the lead in designing, building and deploying AI-powered applications for our clients.

You'll be responsible for:

• System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
• Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
• Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
• Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
• Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

You'll work with technologies including:

Languages

• Python (Preferred)
• Java / C++ / Scala / R / JavaScript

AI / ML

• LangChain
• LangGraph
• Google ADK
• Genkit
• OpenAI API
• LLM - Large Language Model
• Vertex AI

Cloud & Infrastructure

• Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS)
• Storage: Google Cloud Storage (GCS) or AWS S3
• Orchestration: Temporal, Kubernetes
• Data Stores
• PostgreSQL
• Firestore
• MongoDB

Monitoring & Observability

• GCP Cloud Monitoring Suite

Qualifications

• 5+ years of industry experience in software engineering roles
• Strong proficiency in Python or any preferred AI programming language such as Scala, Javascript and Java
• Strong understanding of Transformer architectures, embeddings, and vector similarity search
• Experience integrating with LLM provider APIs (OpenAI, Anthropic, Google Vertex AI)
• Hands-on experience with agent workflows like LangChain, LangGraph
• Experience with Vector Databases and traditional SQL / NoSQL databases
• Familiarity with cloud platforms, preferably GCP or AWS
• Understanding of patterns like RAG (Retrieval-Augmented Generation), few-shot prompting, and Fine-Tuning
• Solid understanding of software development practices including version control (Git) and CI/CD

Nice to have:

• Experience with Google Cloud Platform (GCP) services, specifically Vertex AI, Firestore,and Cloud Functions
• Knowledge of prompt engineering techniques (Chain-of-Thought, ReAct, Tree of Thoughts)
• Experience building "Agentic" workflows where AI can execute tools or API calls autonomously

What we offer

• Exposure to high-profile SV startups and enterprise companies
• Competitive salary
• Fully remote work with flexible hours
• Flexible paid time off
• Profit-sharing program
• Healthcare
• Parental leave, including adoption and fostering
• Gym membership and tuition reimbursement
• Hands-on career development

About Borderless Access

Borderless Access is a company that believes in fostering a culture of innovation and collaboration to build and deliver digital-first products for market research methodologies. This enables our customers to stay ahead of their competition.

We are committed to becoming the global leader in providing innovative digital offerings for consumers backed by advanced analytics, AI, ML, and cutting-edge technological capabilities.

Our Borderless Product Innovation and Operations team is dedicated to creating a top-tier market research platform that will drive our organization's growth. To achieve this, we're embracing modern technologies and a cutting-edge tech stack for faster, higher-quality product development.

The Product Development team is the core of our strategy, fostering collaboration and efficiency. If you're passionate about innovation and eager to contribute to our rapidly evolving market research domain, we invite you to join our team.

Key Responsibilities

• Lead, mentor, and grow a cross-functional team of engineers specializing.
• Foster a culture of collaboration, accountability, and continuous learning.
• Oversee the design and development of robust platform architecture with a focus on scalability, security, and maintainability.
• Establish and enforce engineering best practices including code reviews, unit testing, and CI/CD pipelines.
• Promote clean, maintainable, and well-documented code across the team.
• Lead architectural discussions and technical decision-making, with clear and concise documentation for software components and systems.
• Collaborate with Product, Design, and other stakeholders to define and prioritize platform features.
• Track and report on key performance indicators (KPIs) such as velocity, code quality, deployment frequency, and incident response times.
• Ensure timely delivery of high-quality software aligned with business goals.
• Work closely with DevOps to ensure platform reliability, scalability, and observability.
• Conduct regular 1:1s, performance reviews, and career development planning.
• Conduct code reviews and provide constructive feedback to ensure code quality and maintainability.
• Participate in the entire software development lifecycle, from requirements gathering to deployment and maintenance.

Added Responsibilities

• Defining and adhering to the development process.
• Taking part in regular external audits and maintaining artifacts.
• Identify opportunities for automation to reduce repetitive tasks.
• Mentor and coach team members in the teams.
• Continuously optimize application performance and scalability.
• Collaborate with the Marketing team to understand different user journeys.

Growth and Development

The following are some of the growth and development activities that you can look forward to at Borderless Access as an Engineering Manager:

• Develop leadership skills – Enhance your leadership abilities through workshops or coaching from Senior Leadership and Executive Leadership.
• Foster innovation – Become part of a culture of innovation and experimentation within the product development and operations team.
• Drive business objectives – Become part of defining and taking actions to meet the business objectives.

About You

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development.
• Experience with microservices architecture and container orchestration.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Solid understanding of data structures, algorithms, and software design patterns.
• Solid understanding of enterprise system architecture patterns.
• Experience in managing a small to medium-sized team with varied experiences.
• Strong proficiency in back-end development, including programming languages like Python, Java, or Node.js, and frameworks like Spring or Express.
• Strong proficiency in front-end development, including HTML, CSS, JavaScript, and popular frameworks like React or Angular.
• Experience with databases (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with cloud platforms AWS, Azure, or GCP (preferred is Azure).
• Knowledge of containerization technologies Docker and Kubernetes.

Drive the design, automation, and reliability of Albert Invent’s core platform to support scalable, high-performance AI applications.

You will partner closely with Product Engineering and SRE teams to ensure security, resiliency, and developer productivity while owning end-to-end service operability.

Key Responsibilities

• Own the design, reliability, and operability of Albert’s mission-critical platform.
• Work closely with Product Engineering and SRE to build scalable, secure, and high-performance services.
• Plan and deliver core platform capabilities that improve developer velocity, system resilience, and scalability.
• Maintain a deep understanding of microservices topology, dependencies, and behavior.
• Act as the technical authority for performance, reliability, and availability across services.
• Drive automation and orchestration across infrastructure and operations.
• Serve as the final escalation point for complex or undocumented production issues.
• Lead root-cause analysis, mitigation strategies, and long-term system improvements.
• Mentor engineers in building robust, automated, and production-grade systems.
• Champion best practices in SRE, reliability, and platform engineering.

Must-Have Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 4+ years of strong backend coding in Python or Node.js.
• 4+ years of overall software engineering experience, including 2+ years in an SRE / automation-focused role.
• Strong hands-on experience with Infrastructure as Code (Terraform preferred).
• Deep experience with AWS cloud infrastructure and distributed systems (microservices, APIs, service-to-service communication).
• Experience with observability systems – logs, metrics, and tracing.
• Experience using CI/CD pipelines (e.g., CircleCI).
• Performance testing experience using K6 or similar tools.
• Strong focus on automation, standards, and operational excellence.
• Experience building low-latency APIs (< 200ms response time).
• Ability to work in fast-paced, high-ownership environments.
• Proven ability to lead technically, mentor engineers, and influence engineering quality.

Good-to-Have Skills

• Kubernetes and container orchestration experience.
• 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 pipelines.
• Experience working in compliance-driven environments (SOC2, HIPAA, etc.).

To lead the design, development, and optimization of high-scale search and discovery systems

leveraging deep expertise in OpenSearch. The Search Staff Engineer will enhance search

relevance, query performance, and indexing efficiency by utilizing OpenSearch’s full-text, vector

search, and analytics capabilities. This role focuses on building real-time search pipelines,

implementing advanced ranking models, and architecting distributed indexing solutions to

deliver a high-performance, scalable, and intelligent search experience.

Responsibilities:

• Architect, develop, and maintain a scalable OpenSearch-based search infrastructure for high-traffic applications.

• Optimize indexing strategies, sharding, replication, and query execution to improve search performance and reliability.

• Implement cross-cluster search, multi-tenant search solutions, and real-time search capabilities.

• Ensure efficient log storage, retention policies, and lifecycle management in OpenSearch.

• Monitor and troubleshoot performance bottlenecks, ensuring high availability and resilience.

• Design and implement real-time and batch indexing pipelines for structured and unstructured data.

• Optimize schema design, field mappings, and tokenization strategies for improved search performance.

• Manage custom analyzers, synonyms, stopwords, and stemming filters for multilingual search.

• Ensure search infrastructure adheres to security best practices, including encryption,

access control, and audit logging.

• Optimize search for low latency, high throughput, and cost efficiency.

• Collaborate cross-functionally with engineering, product, and operations teams to ensure seamless platform delivery.

• Define and communicate a strategic roadmap for Search initiatives aligned with business goals.

• Work closely with stakeholders to understand database requirements and provide technical solutions.

Requirements:

• 4+ years of experience in search engineering, with at least 3+ years of deep experience in OpenSearch.

• Strong expertise in search indexing, relevance tuning, ranking algorithms, and query parsing.

• Hands-on experience with OpenSearch configurations, APIs, shards, replicas, and cluster scaling.

• Strong programming skills in Node.js and Python and experience with OpenSearch SDKs.

• Proficiency in REST APIs, OpenSearch DSL queries, and aggregation frameworks.

• Knowledge of observability, logging, and monitoring tools (Prometheus, OpenTelemetry, Grafana).

• Experience managing OpenSearch clusters on AWS OpenSearch, Containers, or self- hosted environments.

• Strong understanding of security best practices, role-based access control (RBAC), encryption, and IAM.

• Familiarity with multi-region, distributed search architectures.

• Strong analytical and debugging skills, with a proactive approach to identifying and mitigating risks.

• Exceptional communication skills, with the ability to influence and drive consensus among stakeholders.

JOB DETAILS:

- Job Title: Senior Devops Engineer 2

- Industry: Ride-hailing

- Experience: 5-7 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

4.   Candidate must have experience in database migration from scratch 

5.   Must have a firm hold on the container orchestration tool Kubernetes

6.   Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

7.   Understanding programming languages like GO/Python, and Java

8.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

9.   Working experience on Cloud platform - AWS

10. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description 

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs

● Codify our infrastructure

● Do what it takes to keep the uptime above 99.99%

● Understand the bigger picture and sail through the ambiguities

● Scale technology considering cost and observability and manage end-to-end processes

● Understand DevOps philosophy and evangelize the principles across the organization

● Strong communication and collaboration skills to break down the silos

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

JOB DETAILS:

- Job Title: Lead DevOps Engineer

- Industry: Ride-hailing

- Experience: 6-9 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)

4.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5.   Candidate must have Self experience in database migration from scratch 

6.   Must have a firm hold on the container orchestration tool Kubernetes

7.   Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8.   Understanding programming languages like GO/Python, and Java

9.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10.   Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs

● Codify our infrastructure

● Do what it takes to keep the uptime above 99.99%

● Understand the bigger picture and sail through the ambiguities

● Scale technology considering cost and observability and manage end-to-end processes

● Understand DevOps philosophy and evangelize the principles across the organization

● Strong communication and collaboration skills to break down the silos

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

JOB DETAILS:

- Job Title: Senior Devops Engineer 1

- Industry: Ride-hailing

- Experience: 4-6 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1. Candidate must be from a product-based or scalable app-based startups company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description 

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs.

- Understanding the needs of stakeholders and conveying this to developers.

- Working on ways to automate and improve development and release processes.

- Identifying technical problems and developing software updates and ‘fixes’.

- Working with software developers to ensure that development follows established processes and works as intended.

- Do what it takes to keep the uptime above 99.99%.

- Understand DevOps philosophy and evangelize the principles across the organization.

- Strong communication and collaboration skills to break down the silos

Job Requirements:

- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.

- Minimum 4 yrs of experience working as a DevOps/Infrastructure Consultant.

- Strong background in operating systems like Linux.

- Understands the container orchestration tool Kubernetes.

- Proficient Knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

- Problem-solving attitude, and ability to write scripts using any scripting language.

- Understanding programming languages like GO/Python, and Java.

- Basic understanding of databases and middlewares like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

- Should be able to take ownership of tasks, and must be responsible. - Good communication skills

JOB DETAILS:

- Job Title: Senior Business Analyst

- Industry: Ride-hailing

- Experience: 4-7 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Data Visualization, Data Analysis, Strong in Python and SQL, Cross-Functional Communication & Stakeholder Management

Criteria:

1. Candidate must have 4–7 years of experience in analytics / business analytics roles.

2. Candidate must be currently based in Bangalore only (no relocation allowed).

3. Candidate must have hands-on experience with Python and SQL.

4. Candidate must have experience working with databases/APIs (Mongo, Presto, REST or similar).

5. Candidate must have experience building dashboards/visualizations (Tableau, Metabase or similar).

6. Candidate must be available for face-to-face interviews in Bangalore.

7. Candidate must have experience working closely with business, product, and operations teams.

Description

Job Responsibilities:

● Acquiring data from primary/secondary data sources like mongo/presto/Rest APIs.

● Candidate must have strong hands-on experience in Python and SQL.

● Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau/Metabase

● Establish relationship between output metric and its drivers in order to identify critical drivers and control the critical drivers so as to achieve the desired value of output metric

● Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs

● Collaborating with our business owners + product folks and perform data analysis of experiments and recommend the next best action for the business. Involves being embedded into business decision teams for driving faster decision making

● Collaborating with several functional teams within the organization and use raw data and metrics to back up assumptions, develop hypothesis/business cases and complete root cause analyses; thereby delivering output to business users

Job Requirements:

● Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.

● Around 4-6 years of experience being embedded in analytics and adjacent business teams working as analyst aiding decision making

● Proficiency in Excel and ability to structure and present data in creative ways to drive insights

● Some basic understanding of (or experience in) evaluating financial parameters like return-on-investment (ROI), cost allocation, optimization, etc. is good to have

👉 ● Candidate must have strong hands-on experience in Python and SQL.

What’s there for you?

● Opportunity to understand the overall business & collaborate across all functional departments

● Prospect to disrupt the existing mobility industry business models (ideate, pilot, monitor & scale)

● Deal with the ambiguity of decision making while balancing long-term/strategic business needs and short-term/tactical moves

● Full business ownership working style which translates to freedom to pick problem statements/workflow and self-driven culture

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Lead AI Engineer

Location: Bengaluru, Hybrid | Type: Full-time

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations—which include pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be a ‘Great Place to Work®’ certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.

As an organisation, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Your Mission

We’re seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions.

This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.

What You’ll Do

Develop AI Applications & Agentic Systems

• Architect, build, and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations.
• Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone, ChromaDB, Weaviate, pgvector, etc.) and search engines such as ElasticSearch / Solr using both TF/IDF BM25-based full-text search and similarity search techniques.
• Implement guardrails, observability, fine-tune and train models for industry or domain-specific use cases.
• Build multi-modal workflows using text, image, voice, and video.
• Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost, and latency.
• Build supporting microservices and modular backends using Python, JavaScript, or Java aligned with domain-driven design, SOLID principles, OOP, and clean architecture, using various databases including relational, document, Key-Value, Graph, and event-driven systems using Kafka / MSK, SQS, etc.
• Deploy cloud-native applications in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture.
• Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain-driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (GitHub Actions, Jenkins).

AI-Assisted Development, Context Engineering & Innovation

• Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability.
• Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents, and more to create developer workflows that improve development velocity, standardisation, and reliability across AI teams.
• Ensure industry best practices to develop well-structured code that is testable, maintainable, performant, scalable, and secure.
• Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
• Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
• Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

What You Bring

• 7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
• Experience with cloud-native deployments and services in AWS / GCP / Azure, with the ability to architect distributed systems.
• A ‘no-compromise’ attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance, and cost optimisation.
• Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents.
• A deep understanding of LLMs, context engineering approaches, and best practices, with the ability to optimise accuracy, latency, and cost.
• Python or JavaScript experience with strong grasp of OOP, SOLID principles, 12-factor application development, and scalable microservice architecture.
• Proven track record developing and deploying GenAI/LLM-based systems in production.
• Advanced understanding of context engineering, prompt construction, optimisation, and evaluation techniques.
• End-to-end implementation experience using vector databases and retrieval pipelines.
• Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
• Obsession with clean code, system scalability, and performance optimisation.
• Ability to balance rapid prototyping with long-term maintainability.
• Excel at working independently while collaborating effectively across teams.
• Stay ahead of the curve on new AI models, frameworks, and best practices.
• Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical discipline.

Bonus Skills / Experience

• Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
• Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam).
• Mobile and front-end web application development experience.

What We Offer

• A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts – We respect your time and support a healthy integration of work and life.
• Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
• Meaningful rewards – Competitive compensation that recognises both contribution and potential.

Company Description

eShipz is a rapidly expanding logistics automation platform designed to optimize shipping operations and enhance post-purchase customer experiences. The platform offers solutions such as multi-carrier integrations, real-time tracking, NDR management, returns, freight audits, and more. Trusted by over 350 businesses, eShipz provides easy-to-use analytics, automated shipping processes, and reliable customer support. As a trusted partner for eCommerce businesses and enterprises, eShipz delivers smarter, more efficient shipping solutions. Visit www.eshipz.com for more information.

Role Description



The Python Support Engineer role at eShipz requires supporting clients by providing technical solutions and resolving issues related to the platform. Responsibilities include troubleshooting reported problems, delivering technical support in a professional manner, and assisting with software functionality and operating systems. The engineer will also collaborate with internal teams to ensure a seamless customer experience. This is a full-time on-site role located in Sanjay Nagar, Greater Bengaluru Area.

Qualifications

• Strong proficiency in Troubleshooting and Technical Support skills to identify and address software or technical challenges effectively.
• Capability to provide professional Customer Support and Customer Service, ensuring high customer satisfaction and resolving inquiries promptly.
• Proficiency and knowledge of Operating Systems to diagnose and resolve platform-specific issues efficiently.
• Excellent problem-solving, communication, and interpersonal skills.
• Bachelor's degree in computer science, IT, or a related field.
• Experience working with Python and an understanding of backend systems is a plus.

• Technical Skill:
• Python Proficiency: Strong understanding of core Python (Data structures, decorators, generators, and exception handling).
• Frameworks: Familiarity with web frameworks like Django, Flask, or FastAPI.
• Databases: Proficiency in SQL (PostgreSQL/MySQL) and understanding of ORMs like SQLAlchemy or Django ORM.
• Infrastructure: Basic knowledge of Linux/Unix commands, Docker, and CI/CD pipelines (Jenkins/GitHub Actions).
• Version Control: Comfortable using Git for branching, merging, and pull requests.

• Soft Skill:
• Analytical Thinking: A logical approach to solving complex, "needle-in-a-haystack" problems.
• Communication: Ability to explain technical concepts to both developers and end-users.
• Patience & Empathy: Managing high-pressure situations when critical systems are down.

• Work Location: Sanjay Nagar, Bangalore (WFO)

• Work Timing :

• Mon - Fri (WFO)(9:45 A.M. - 6: 15 P.M.)
• 1st & 3rd SAT (WFO)(9:00 A.M. - 2:00 P.M.)
• 2nd & 4th SAT (WFH)(9:00 A.M. - 2:00 P.M.)