50+ Python Jobs in India

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are seeking a highly skilled and innovative Generative AI Engineer to join our team. In this role, you will develop and deploy cutting-edge generative AI models to solve real-world problems. You will work on building models that generate content, understand complex data, and collaborate closely with cross-functional teams to implement AI-powered solutions.

What you will do?

• Design and implement generative AI solutions using large language models (LLMs).
• Apply prompt engineering techniques and build scalable Retrieval-Augmented Generation (RAG) systems.
• Fine-tune and optimize models for performance, cost, and reliability.
• Leverage AWS services such as Bedrock, SageMaker, and Lambda for deployment and inference.
• Develop APIs and backend components for production-grade AI applications.
• Implement observability, performance monitoring, and security best practices.
• Drive responsible AI adoption through evaluation, bias detection, and compliance.

What are we looking for?

• 3+ years of experience in Python with strong software engineering fundamentals.
• Hands-on experience with LLMs and prompt engineering strategies.
• Experience designing RAG pipelines and working with vector databases.
• Proficiency in model fine-tuning (e.g., LoRA) and embedding-based systems.
• Experience with cloud platforms and deploying AI models in production.
• Strong debugging, optimization, and problem-solving skills.
• Clear and effective technical communication.
• Production-first mindset with attention to cost, reliability, and performance.

Preferred Qualifications

• Practical experience with frameworks like LangChain or LlamaIndex.
• Exposure to multi-modal AI systems.
• Familiarity with ML/MLOps and large-scale deployment practices.
• Experience supporting systems at high request volumes.

Inflection.io is a venture-backed B2B marketing automation company, enabling to communicate with their customers and prospects from one platform. We're used by leading SaaS companies like Sauce Labs, Sigma Computing, BILL, Mural, and Elastic, many of which pay more than $100K/yr (1 crore rupee).

And,... it’s working! We have world-class stats: our largest deal is over 3 crore, we have a 5 star rating on G2, over 100% NRR, and constantly break sales and customer records. We’ve raised $14M in total since 2021 with $7.6M of fresh funding in 2024, giving us many years of runway.

However, we’re still in startup mode with approximately 30 employees and looking for the next SDE3 to help propel Inflection forward. Do you want to join a fast growing startup that is aiming to build a very large company?

Key Responsibilities:

• Lead the design, development, and deployment of complex software systems and applications.
• Collaborate with engineers and product managers to define and implement innovative solutions
• Provide technical leadership and mentorship to junior engineers, promoting best practices and fostering a culture of continuous improvement.
• Write clean, maintainable and efficient code, ensuring high performance and scalability of the software.
• Conduct code reviews and provide constructive feedback to ensure code quality and adherence to coding standards.
• Troubleshoot and resolve complex technical issues, optimizing system performance and reliability.
• Stay updated with the latest industry trends and technologies, evaluating their potential for adoption in our projects.
• Participate in the full software development lifecycle, from requirements gathering to deployment and monitoring.

Qualifications:

• 5+ years of professional software development experience, with a strong focus on backend development.
• Proficiency in one or more programming languages such as Java, Python, Golang or C#
• Strong understanding of database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra).
• 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.

Job Title: Full Stack & Automation Engineer (FinTech Preferred)

Location: On-site | 6 Days/Week

Salary: ₹50,000 – ₹1,50,000/month (Based on experience)

About the Role:

Nova Orbit is looking for a highly capable technical operator who can build scalable systems, automate internal workflows, and strengthen backend infrastructure for a fast-growing finance and investment ecosystem focused on unlisted markets and institutional operations.

Key Responsibilities:

• Build and manage full stack applications for internal tools, dashboards, and business operations
• Design scalable backend architecture with strong system design, APIs, database, and security practices
• Deploy and manage cloud infrastructure across AWS / Azure
• Automate repetitive tasks across departments including operations, CRM, finance, reporting, and customer workflows
• Build workflow automation systems, integrations, bots, and process pipelines
• Improve efficiency by reducing manual processes through technology

Required Skills:

• Strong full stack development (Frontend + Backend)
• Deep backend architecture and system design expertise
• AWS / Azure cloud deployment and infrastructure management
• Proficiency in Python, Node.js, JavaScript/TypeScript, SQL
• API development, microservices, database optimization
• Automation tools like Zapier, n8n, Make, Power Automate, Selenium, or custom scripting
• Workflow design, process mapping, task automation, and RPA concepts
• DevOps, CI/CD pipelines, Docker, Git
• Strong analytical and problem-solving skills

Preferred:

• FinTech / BFSI experience (payments, investment platforms, compliance, CRM automation)
• Experience with internal business process automation across multiple departments

Ideal Candidate:

A systems-driven builder who can combine software engineering, backend scalability, cloud expertise, and workflow automation to optimize company-wide operations.

https://loopx.redstring.co.in/form/6a044e6103b64ed11120a12d

Data Engineer at Amura

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a hands-on Data Engineer to design, build, and maintain scalable data pipelines and data platforms. You will work on ingesting, transforming, and serving data reliably for analytics, reporting, and downstream applications, collaborating closely with backend engineers, analysts, and data scientists. This role is ideal for someone who enjoys building robust data systems, working with large datasets, and writing clean, production-grade code.

Key Responsibilities

Data Pipelines & Development

• Build and maintain reliable ETL/ELT pipelines for batch and near-real-time data processing.
• Ingest data from multiple sources (databases, APIs, event streams, files).
• Transform raw data into clean, analytics-ready datasets.
• Optimize pipelines for performance, scalability, and cost.

Data Storage & Modeling

• Design and manage data models in data warehouses or data lakes.
• Work with SQL and NoSQL databases and modern data warehouses.
• Implement partitioning, indexing, and efficient query patterns.
• Maintain documentation for schemas, pipelines, and transformations.

Cloud & Tooling

• Build data solutions on cloud platforms (AWS preferred).
• Use services such as S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis, or equivalents.
• Work with orchestration tools like Airflow or similar schedulers.
• Use version control, CI/CD, and Infrastructure-as-Code where applicable.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting for pipelines.
• Troubleshoot data issues and ensure pipeline reliability.
• Collaborate with stakeholders to resolve data discrepancies.

Collaboration

• Partner with analytics, product, and engineering teams to understand data needs.
• Support analysts and data scientists with clean, accessible datasets.
• Participate in code reviews and contribute to data engineering best practices.

What We’re Looking For

• Experience: 4-6+ years of experience as a Data Engineer / Data Developer.
• Programming: Strong programming skills in Python.
• Databases: Excellent knowledge of SQL and relational data modeling.
• Pipelines: Experience building ETL/ELT pipelines in production.
• Cloud: Hands-on experience with cloud-based data platforms (AWS preferred).
• Concepts: Understanding of data warehousing concepts and best practices.

Nice to Have:

• Experience with Spark, Kafka, dbt, or Flink.
• Familiarity with orchestration tools like Airflow.
• Experience with streaming or event-driven data pipelines.
• Exposure to data quality or observability tools.
• Experience working with large-scale or high-volume datasets.

Additional Information

• Office Location: Chennai (Velachery).
• Work Model: Work from Office - because great stories are built in person!.
• Online Presence: https://amura.ai (@AmuraHealth on all social media).

Title: Sr. Python Developer (Full-Stack & AI)

Location: Onsite – Mumbai, Maharashtra (Western Line)

Experience: 2 - 5+ years

Pay: ₹400,000.00 - ₹600,000.00 per year

Joining: Immediate

About the Role

We are building AI products for enterprise use and need a Senior Python Developer for our core team. You will be responsible for the full-stack architecture—designing both the backend and frontend. We want someone who works smart by using AI tools to build fast, but also has great skills to code manually when the logic is complex or needs high precision.

Key Responsibilities

• Build and maintain full-stack applications using Python and Django.
• Use AI-powered IDEs and development tools as your primary method to ship code quickly.
• Perform manual coding and deep debugging for complex logic that AI cannot handle alone.
• Collaborate with AI/ML teams to put machine learning models into production.
• Design how the entire system (frontend, backend, and database) works together.
• Optimize the application for speed, security, and reliability.
• Participate in technical discussions and help make architecture decisions.

Required Skills & Experience

• Minimum 5 years of professional Python development experience.
• Strong expertise in Django (Primary) and experience with FastAPI or Flask.
• Full-stack capability: Ability to design and build both the frontend and backend.
• Modern Tooling: High proficiency in using AI-powered IDEs and AI dev-agents to speed up your workflow.
• Manual Coding: Strong ability to write clean, manual code for complex backend logic.
• Solid understanding of databases like PostgreSQL, MySQL, or Redis.
• Familiarity with Cloud platforms (AWS/Azure/GCP) and Docker.
• Experience or strong interest in AI/ML pipeline integration.

Good to Have

• Experience with React or Next.js for the frontend.
• Exposure to message brokers like RabbitMQ or Kafka.
• Knowledge of Vector databases or RAG pipelines.
• Experience with CI/CD and basic DevOps.

Experience:

• Total: 3 years (Required)
• Python/Django: 3 years (Required)

Work Location: In person (Borivali, Mumbai)

Job Title: BI Analyst

Company: VRT Management Group, LLC

Location: Santosh Nagar, Hyderabad (Onsite)

Type: Full-time

About VRT Management Group

VRT Management Group is an entrepreneurial consulting company founded in 2008 in the USA. Our mission is to empower small and medium-scale business leaders across the United States through high-impact programs such as EGA, EGOS, and Entrepreneurial Edge.

With our growing Hyderabad operations, we are building a strong Data & Analytics team to support business intelligence, reporting, and data-driven decision-making across the organization.

Role Overview

As a BI Analyst, you will play a key role in transforming raw data into meaningful insights that support business growth and strategic decision-making. This is a hands-on role focused on data analysis, dashboard development, reporting automation, and KPI tracking using Power BI and SQL.

You will work closely with leadership and cross-functional teams to understand business requirements, build dashboards, and deliver actionable insights that improve operational and business performance.

Key Responsibilities

• Develop and maintain interactive dashboards and reports using Power BI.
• Extract, clean, validate, and analyze data from multiple sources.
• Build and manage SQL queries, datasets, and reporting workflows.
• Track and monitor KPIs and business performance metrics.
• Automate recurring reports and dashboard refresh processes.
• Translate business requirements into clear and actionable dashboards.
• Ensure data accuracy, consistency, and reporting reliability.
• Present insights in a business-friendly and easy-to-understand manner.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Maintain proper documentation for reports, dashboards, and workflows.
• Continuously improve reporting processes and dashboard usability.

Required Skills / What We’re Looking For

• 1+years of experience in Business Intelligence, Data Analytics, or related roles.
• Strong hands-on experience with Power BI and dashboard creation.
• Good knowledge of SQL and relational databases (MySQL/PostgreSQL).
• Understanding data cleaning, transformation, and reporting workflows.
• Ability to understand business requirements and convert them into reports and insights.
• Strong analytical and problem-solving skills.
• Good communication and presentation skills.
• High ownership, attention to detail, and execution mindset.
• Ability to work in a fast-paced and collaborative environment.

Tools Exposure 

• Excel / Google Sheets
• SQL / MySQL / PostgreSQL
•  Power BI
• Python basics for analytics
• Data automation and reporting tools

What You’ll Gain

• Real-world experience in business intelligence and analytics.
• Opportunity to work closely with leadership and business teams.
• Exposure to KPI reporting, dashboarding, and data-driven strategy execution.
• Hands-on experience with business reporting systems and automation.
• Strong learning and growth opportunities within a fast-paced entrepreneurial environment.
• Friendly and positive office work environment.
• Competitive corporate salary package.

Job Title: DevOps Engineer

Experience Required: 4-6 Years

Desired Skills: Kubernetes, Docker, AWS, Azure, Python, Java, Terraform

Location: Pune

Employment Type: Full-time

We are looking for a DevOps Engineer who can think of automation at every step of software development. This includes hands-on experience and knowledge of the following -

• 4+ years of professional DevOps experience
• Hands-on expert development skills in Python/Java is a must
• Experience with Infrastructure as code tools such as Terraform
• Hands on experience with Kubernetes (EKS, AKS, GKE) or other container orchestration tools
• Containerization technologies and tools such as Docker
• Understanding of Cloud computing providers such as AWS, GCP, etc. and their services
• Configuring and spinning up applications and microservices on K8s clusters
• Good academics
• Good communication skills

Immediately available candidates would be preferred.

Job Title: Python Lead

Product: Identity Confluence- Identity Security, Governance and Administration Platform

Experience Required: 6-8 Years

Desired Skills: Python, Django/Flask, AWS

Location: Pune

Employment Type: Full-time

Job Description:

• We are looking for a Python Lead who has the following experience and expertise -
• Proficiency in developing RESTful APIs using Flask/Django or Fast API framework
• Hands-on experience of using ORMs for database query mapping
• Unit test cases for code coverage and API testing
• Using Postman for validating the APIs Experienced with GIT process and rest of the code management including knowledge of ticket management systems like JIRA
• Have at least 2 years of experience in any cloud platform
• Hands-on leadership experience
• Experience of direct communication with the stakeholders

Skills and Experience:

• Good academics
• Strong teamwork and communications
• Advanced troubleshooting skills

Ready and immediately available candidates will be preferred.

About LJI

Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drive customer engagement and loyalty. Our flagship platform, GRAVTY®, enables global brands to transform loyalty programs into measurable, revenue-generating growth engines.

Built as an AI-first, next-generation solution, GRAVTY® empowers organizations to deliver highly personalized, real-time experiences at scale—helping them increase customer lifetime value and deepen brand relationships.

Headquartered in Palo Alto, California, LJI partners with leading enterprises across 16 major industries including airlines, retail, hospitality, financial services and telecommunications powering some of the most innovative loyalty ecosystems worldwide.

Our Global Impact:

• 400+ Million members connected through our platform.
• 100+ Global Brands trust us to drive loyalty and brand devotion.
• 3-Time Winner of “Best Technology Innovation in Loyalty”.
• Global recognitions for Excellence in Loyalty Management under numerous categories.
• Recognised as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.

Explore more about us at www.lji.io

What you will OWN:

• Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS ‘big data’ technologies.
• Create and maintain optimal data pipeline architecture.
• Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs.
• Create tools for data management and data analytics that can assist them in building and optimizing our product to become an innovative industry leader.

You would make a GREAT FIT if you have:

• Have 2 to 5 years of relevant backend development experience, with solid expertise in Python.
• Possess strong skills in Data Structures and Algorithms, and can write optimized, maintainable code.
• Are familiar with database systems, and can comfortably work with PostgreSQL, as well as NoSQL solutions like MongoDB or DynamoDB.
• Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage.
• Have a solid understanding of ETL processes and tools and can build or modify ETL pipelines effectively.
• Have experience managing or building data pipelines and architectures at scale.
• Understand the nuances of data ingestion, transformation, storage, and analytics workflows.
• Communicate clearly and work collaboratively across engineering, product.

Why Choose US?

• This opportunity offers a dynamic and supportive work environment where you'll have the chance to not just collaborate with talented technocrats but also work with globally recognized brands, gain exposure, and carve your own career path.
• You will get to innovate and dabble in the future of technology -Enterprise Cloud Computing, Blockchain, Machine Learning, AI, Mobile, Digital Wallets, and much more.

Job Summary

We are looking for a skilled AI/ML Engineer with strong expertise in Python, Machine Learning, and Cloud technologies. The ideal candidate should have experience in building, deploying, and optimizing AI/ML models and scalable backend systems in cloud environments.

Key Responsibilities

• Design, develop, and deploy AI/ML models for real-world business use cases
• Build scalable backend systems and ML pipelines using Python
• Work on data preprocessing, feature engineering, model training, and evaluation
• Deploy and manage ML models on cloud platforms such as AWS, Azure, or GCP
• Develop REST APIs and microservices for AI-driven applications
• Collaborate with data engineers, product teams, and developers to deliver AI solutions
• Optimize model performance, scalability, and inference speed
• Work with structured and unstructured datasets for predictive analytics and automation
• Monitor, troubleshoot, and improve deployed ML systems

Required Skills

• Strong proficiency in Python
• Hands-on experience with Machine Learning frameworks:
• Scikit-learn
• TensorFlow / PyTorch
• Experience in AI/ML model development and deployment
• Good understanding of:
• Data Structures & Algorithms
• Model training & evaluation
• Data preprocessing
• Experience with cloud platforms:
• AWS / Azure / Google Cloud Platform
• Knowledge of REST APIs and backend development
• Experience with databases such as PostgreSQL, MySQL, or MongoDB
• Familiarity with Docker, Kubernetes, or CI/CD pipelines
• Strong debugging and analytical skills

Good-to-Have Skills

• Experience with NLP, LLMs, or Generative AI
• Exposure to MLOps tools and workflows
• Knowledge of FastAPI or Flask
• Experience with distributed systems or microservices architecture
• Familiarity with vector databases and AI integrations

Preferred Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
• Experience working in Agile/Scrum environments
• Strong communication and collaboration skills

Desired Profile

• Passion for AI and emerging technologies
• Strong ownership and problem-solving mindset
• Ability to work independently and in a fast-paced environment
• Eagerness to learn and adapt to new tools and technologies 

About ZYSYGY

ZYSYGY is building Germany's zero-fee payment network. Merchants pay zero transaction fees. We route payments directly over SEPA Instant, bypassing Visa, Mastercard, and the entire card network chain. No hardware. No card reader. Just a phone.

We are building the first company to combine a fully software-based merchant POS with a consumer super-app for everyday financial life: payments, transport, utilities, government services, all in one place. Think what UPI did for India. We are doing it for Germany, from the ground up, on banking rails.

Role Overview

You will join the core engineering team as a founding engineer. You will own the backend payment engine end to end: transaction flows, wallet management, SEPA Instant settlement, KYB/KYC integration, recurring mandates, refund logic, and the compliance export layer (DATEV, Kassenbuch, GoBD, fiskaltrust). On mobile, you will contribute to the React Native consumer and merchant apps alongside our mobile engineer.

You will own what you build from development through deployment, monitoring, and production reliability. The architecture decisions you make in the first six months will run in production for years.

What you will do

Design and build the backend payment engine: transaction flows, wallet management, SEPA Instant settlement, offline payment authorization, and recurring mandate billing.

Own KYB/KYC integration and the compliance export layer: DATEV, Kassenbuch, GoBD, and fiskaltrust for KassenSichV.

Build REST APIs for financial-grade reliability and high-throughput transaction processing, including full R-transaction handling and reconciliation pipelines.

Contribute to the React Native consumer and merchant mobile apps alongside our mobile engineer.

Own the full lifecycle of what you build, from development through deployment, monitoring, and continuous improvement.

Integrate AI tooling into your development workflow as a matter of course: code generation, automated testing, and intelligent review.

Who you are

Meaningful hands-on experience building payment systems, fintech infrastructure, or financial APIs.

You have designed a ledger. You understand double-entry bookkeeping, immutable transaction records, and why you never update a financial row.

You have solved the partial failure. Money left one wallet and did not arrive in the other. You know how to detect it, resolve it, and make sure it does not happen again.

You understand idempotency at a design level. You have built systems that survive client retries, duplicate webhooks, and network drops without double-charging anyone.

You have built or reasoned about reconciliation: detecting discrepancies between your internal ledger and an external settlement file, and resolving them reliably at scale.

You understand KYC and KYB state machines, what happens when verification status changes mid-transaction, and what a regulator expects from your audit trail.

You are comfortable with SQL databases and own the full lifecycle of your code from development through deployment.

You can communicate technical decisions clearly to non-technical stakeholders. At this stage of the company, that matters.

You are a continuous learner. Payments infrastructure is a deep domain and you treat it that way.

You are comfortable with ambiguity and early-stage risk. There is no playbook yet. You will help write it.

Strong academic background preferred. Demonstrated engineering ability matters more than institution.

Relocation

Relocation to Munich, Germany, is on the table for the right candidate, including visa support.

Connect with the Founder

You can also connect with me on LinkedIn at www.linkedin.com/in/shabbir-maimoon

Looking for a Solution Architect in Automation Anywhere A360 who can design and scale enterprise-grade RPA solutions. The role is a mix of architecture + hands-on + leadership, where you’ll be working on things like AARI (Copilot), Document Automation, and APA capabilities.

You’ll be driving end-to-end solution design, ensuring scalability, governance, and working closely with business stakeholders while mentoring developers.

Requirements:

1. Strong A360 Expertise

• Hands-on experience with Automation Anywhere A360
• Built and deployed bots in enterprise environments (not POCs)

2. Architecture Mindset

• Designed end-to-end RPA solutions
• Understands scalability, security, and governance frameworks

3. New Capabilities Exposure

• Experience (or at least exposure) to:
• AARI (Copilot)
• Document Automation
• APA (Automation Process Automation)

4. Leadership + Stakeholder Handling

• Has led teams / mentored developers
• Comfortable working with business stakeholders

5. Tech Add-ons (Good to have)

• Python / SQL
• Exposure to AI / LLM integrations

Strong hands-on experience in Python development.

Good understanding of SQL and database concepts.

Hands-on working experience in Linux/Unix environment.

Knowledge of scripting, debugging, and application troubleshooting.

Understanding of APIs, data processing, and backend development concepts.

Solution Engineer

Pre-Sales · GTM Team

Noida | 🕐 Full-Time | 🧭 2+ Years

THE MISSION

We aren’t automating scripts, we’re deprecating the era of manual-heavy testing entirely. TestMu AI is building the world’s first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.

The name “TestMu” comes from our community conference. Our users and team aren’t an audience, they’re the heartbeat of what we build. We believe AI augments human potential. It doesn’t replace it.

You will be the architect translating complex AI-native capabilities into empathetic, high-impact solutions for global engineering teams.

THE PILLARS OF IMPACT

🚀 1. Solution Design & Discovery (50%)  

• Lead technical discovery to diagnose customer pain points and map them to autonomous QE workflows.
• Architect and deliver high-stakes product demonstrations that prove the ROI of Agentic Intelligence.
• Design bespoke technical roadmaps that integrate TestMu AI into complex enterprise SDLCs. 
• Build deep trust with prospects by demonstrating a "solution-first" rather than "feature-first" approach.

⚙️ 2. Technical Validation & Trial Success (30%)

• Own the end-to-end technical POC lifecycle, ensuring prospects achieve "aha" moments through successful trials. 
• Troubleshoot automation framework migrations and environment configurations (Web, Mobile, API) in real-time. 
• Act as the technical pivot point, ensuring every trial meets its defined success criteria for deal closure.

🧠 3. Market Intel & Product Influence (20%)

• Synthesize technical customer feedback into actionable insights for the Product and Engineering squads.
• Develop competitive playbooks that highlight TestMu AI’s edge over legacy automation frameworks.
• Enable the broader Sales team by creating "gold standard" demo environments and technical documentation

WHAT AI GIVES YOU

TestMu AI Platform How you’ll use it: To demonstrate and architect autonomous testing agents for global enterprises.

Tool: ChatGPT Enterprise How you’ll use it: To accelerate the creation of custom scripts, technical docs, and competitive battlecards.

Tool: Internal AI Co-pilots How you’ll use it: To query internal product documentation and technical specs for rapid customer responses.

Who we're looking for:

Signal 1 — Automation Depth: NON-NEGOTIABLE. You must prove hands-on mastery of Selenium, Appium, Playwright, or Cypress.

Signal 2 — Articulation Power: You must demonstrate the ability to explain complex AI logic to both developers and C-suite stakeholders with clarity.

Signal 3 — Solutionizing Mindset: You must prove a prospect-first, empathetic approach that prioritizes solving the user's specific problem over a generic pitch.

Signal 4 — Technical Sales DNA: Minimum 2 years in a customer-facing engineering role, specifically within the B2B SaaS ecosystem.

This isn’t just a job. It’s where your career takes flight. Apply now and start building what’s next.

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

• Develop, test, and maintain backend applications using Python and Flask.
• Design and build RESTful APIs for web and mobile applications.
• Collaborate with frontend developers, QA teams, and product stakeholders.
• Write reusable, scalable, and efficient code.
• Integrate third-party APIs and services.
• Optimize application performance and troubleshoot issues.
• Work with databases and ensure data security and integrity.
• Participate in code reviews and technical discussions.
• Maintain proper documentation for development activities.

Required Skills

• 3+ years of experience in Python development.
• Strong hands-on experience with Flask framework.
• Good understanding of REST API development.
• Experience with MySQL/PostgreSQL/MongoDB databases.
• Familiarity with ORM libraries such as SQLAlchemy.
• Knowledge of Git/version control systems.
• Understanding of software development lifecycle and agile methodologies.
• Basic understanding of Docker and deployment processes is an added advantage.
• Good debugging and problem-solving skills.

Preferred Skills

• Experience with AWS/Azure or cloud platforms.
• Exposure to microservices architecture.
• Familiarity with CI/CD pipelines.
• Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

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

What We’re Looking For

• Immediate joiner or candidates with short notice period.
• Strong communication and teamwork skills.
• Self-driven and proactive mindset.

Position: Python Developer – Flask

Experience: 3+ Years

Location: Bangalore

Joining: Immediate Joiner Preferred

Employment Type: Full-Time

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

Develop, test, and maintain backend applications using Python and Flask.

Design and build RESTful APIs for web and mobile applications.

Collaborate with frontend developers, QA teams, and product stakeholders.

Write reusable, scalable, and efficient code.

Integrate third-party APIs and services.

Optimize application performance and troubleshoot issues.

Work with databases and ensure data security and integrity.

Participate in code reviews and technical discussions.

Maintain proper documentation for development activities.

Required Skills

3+ years of experience in Python development.

Strong hands-on experience with Flask framework.

Good understanding of REST API development.

Experience with MySQL/PostgreSQL/MongoDB databases.

Familiarity with ORM libraries such as SQLAlchemy.

Knowledge of Git/version control systems.

Understanding of software development lifecycle and agile methodologies.

Basic understanding of Docker and deployment processes is an added advantage.

Good debugging and problem-solving skills.

Preferred Skills

Experience with AWS/Azure or cloud platforms.

Exposure to microservices architecture.

Familiarity with CI/CD pipelines.

Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

Bachelor’s degree in Computer Science, Information Technology, or related field.

What We’re Looking For

Immediate joiner or candidates with short notice period.

Strong communication and teamwork skills.

Self-driven and proactive mindset.

Position: Python Developer – Flask

Experience: 3+ Years

Location: Bangalore

Joining: Immediate Joiner Preferred

Employment Type: Full-Time

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

• Develop, test, and maintain backend applications using Python and Flask.
• Design and build RESTful APIs for web and mobile applications.
• Collaborate with frontend developers, QA teams, and product stakeholders.
• Write reusable, scalable, and efficient code.
• Integrate third-party APIs and services.
• Optimize application performance and troubleshoot issues.
• Work with databases and ensure data security and integrity.
• Participate in code reviews and technical discussions.
• Maintain proper documentation for development activities.
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Required Skills

• 3+ years of experience in Python development.
• Strong hands-on experience with Flask framework.
• Good understanding of REST API development.
• Experience with MySQL/PostgreSQL/MongoDB databases.
• Familiarity with ORM libraries such as SQLAlchemy.
• Knowledge of Git/version control systems.
• Understanding of software development lifecycle and agile methodologies.
• Basic understanding of Docker and deployment processes is an added advantage.
• Good debugging and problem-solving skills.

Preferred Skills

• Experience with AWS/Azure or cloud platforms.
• Exposure to microservices architecture.
• Familiarity with CI/CD pipelines.
• Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

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

What We’re Looking For

• Immediate joiner or candidates with short notice period.
• Strong communication and teamwork skills.
• Self-driven and proactive mindset.

Sr. DE / Data Engineer (Healthcare Data & SQL Expert)

Experience Level: 5–7 Years

Focus: Database Design, Advanced SQL, ETL/ELT Pipelines, and Healthcare Interoperability.

Summary

We are looking for a highly skilled Senior Data Engineer to join our healthcare data team. This role is perfect for a technical powerhouse who excels at building robust data pipelines and deeply understands database internals. You will be responsible for designing schemas, writing complex stored procedures, and optimizing SQL performance to handle clinical and claims data at scale. You will bridge the gap between raw data ingestion and high-performance analytics, ensuring all solutions meet HIPAA and FHIR standards.

What You’ll Do

1. Advanced SQL & Database Development

• Schema Design: Design and implement relational schemas (MSSQL, PostgreSQL, Oracle) ensuring data integrity through constraints, triggers, and normalized structures.
• Programmability: Write and maintain sophisticated Stored Procedures, Functions, and Views to handle complex business logic within the database layer.
• Performance Tuning: Own query optimization. You should be the expert in reading EXPLAIN/ANALYZE plans, implementing advanced indexing strategies (Clustered, Non-Clustered, Columnstore), and managing partitioning.
• Data Modeling: Build and manage dimensional models (Star/Snowflake) and implement Slowly Changing Dimensions (SCD Types 1, 2, and 4).
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2. Data Engineering & Ingestion

• Pipeline Development: Build and operate scalable ETL/ELT pipelines using Python and SQL to ingest data from EHRs, REST APIs, and flat files.
• Orchestration: Use Apache Airflow to schedule jobs, manage dependencies, and implement robust retry/alerting logic.
• API Integration: Develop Python-based ingestion frameworks that handle OAuth, pagination, and throttling for third-party healthcare data partners.

3. Healthcare Interoperability & Compliance

• Standards: Map complex clinical data to HL7 FHIR resources and curated analytic layers.
• Security: Implement "Privacy by Design" by enforcing HIPAA safeguards, including encryption at rest, access controls, and PII/PHI de-identification.

4. Operational Excellence

• CI/CD: Use GitHub and automated pipelines to deploy database changes and data code.
• Observability: Implement data quality tests (using tools like dbt or custom Python/SQL checks) to monitor freshness and accuracy.

What You’ll Bring

• Experience: 5–7 years of professional data engineering experience, with a heavy emphasis on backend database development.
• The SQL Expert Toolkit:
• Expert SQL: Window functions, CTEs, recursive queries, and set-based transformations.
• DB Internals: Deep knowledge of MSSQL, PostgreSQL, or Oracle. You should understand how the engine stores and retrieves data.
• Optimization: Proven track record of turning "slow" queries into high-performance assets via indexing and refactoring.
• The Engineering Toolkit:
• Python: Intermediate to advanced (Pandas/Polars, Requests, SQLAlchemy, or PySpark).
• Orchestration: Practical experience with Airflow (or Prefect/Dagster).
• Legacy/Cloud mix: Proficiency in SSIS/SSMA or PowerShell is a plus for migrating legacy workloads to modern platforms.
• The Domain Knowledge: Familiarity with FHIR/HL7 and an understanding of the importance of data governance in a regulated environment.

Technical "Must-Haves" for the Interview

• Ability to whiteboard a complex Database Schema from scratch.
• Ability to debug a long-running SQL query and explain the IO/CPU trade-offs of different index types.
• Experience handling JSON/BSON data types within a relational database context.

Nice to Have

• Experience with NoSQL systems like MongoDB or Elasticsearch.
• Cloud experience (Azure, AWS, or GCP) specifically regarding managed SQL services.
• Knowledge of dbt (data build tool) for managing transformations in the warehouse.

Job description

Job Title: Application Developer

Location: Gurugram Haryana India

Employment Type: Full-time (Immediate joiner preferred )

Experience : 2-5 years (In Android and iOS both)

About Aaizel Tech:

Aaizel Tech is a fast-growing technology company focused on building scalable web and mobile applications. We specialize in cross-platform development using React Native, delivering seamless user experiences across Android, iOS, and web.

Driven by innovation and efficiency, we create high-performance digital solutions that solve real-world problems. At Aaizel Tech, we foster a culture of ownership, creativity, and continuous learning, empowering developers to build impactful products.

Role Overview:

We are looking for an experienced App Developer with strong expertise in developing, deploying, and maintaining scalable applications. The candidate should have a proven track record in app development across platforms, hands-on technical proficiency, and the ability to lead and mentor development teams.

Key Responsibilities:

• Lead mobile application development (Android, iOS, and cross-platform).
• Architect, design, and deliver scalable and secure app solutions.
• Collaborate with product, design, and backend teams to deliver seamless apps.
• Write clean, efficient, and reusable code while ensuring code reviews and best practices.
• Integrate third-party APIs, payment gateways and authentication services.
• Manage deployments and app store releases.
• Mentor junior developers and conduct technical training sessions.
• Stay current with latest frameworks, tools, and certifications relevant to app development.

Required Skills, Qualifications and Experience:

● Educational Background: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

● Experience: 2-5 years of hands-on mobile application development experience.

● Technical Skills:

• React Native, Native IOS & Andriod, React.js, AngularJS, Cordova, ExpressJS, ExtJS, Ionic, Java/J2EE, JMeter, JavaScript/jQuery, MongoDB/NoSQL DB, MySQL, PHP, PHP Yii, PL/SQL, React, Python, Dell Boomi, VB.NET.

Expertise in platforms/databases:

MySQL, MongoDB, Microsoft SQL, PostgreSQL, Redis, Docker.

Relevant Functional/Domain Expertise:

• API Integration & Authentication.
• Localisation of applications.
• Payment Gateway & SMS Gateway Integration.
• Digital Signature Integration, E-Sign, DigiLocker.
• Offline service capabilities, Single Sign-On (SSO).
• Interoperability and E-Commerce systems.

● Soft Skills:

○ Excellent problem-solving and analytical skills.

○ Strong communication skills with the ability to document and present technical information clearly.

○ Ability to work independently and as part of a multidisciplinary team.

What We Offer:

● Competitive salary aligned with industry standards.

● A collaborative and innovative work environment with access to advanced resources.

● Opportunities for professional growth and skill development.

● Engaging projects that challenge your technical expertise.

Software Development QA Engineer (Automation and Manual)

Juntrax Solutions is a SF/Bengaluru-based company developing and innovating SaaS-based products. Currently working on developing a brand new product, so great opportunity to be part of product lifecycle development and core team.

Roles and Responsibilities

• Understand and update project requirements documents as necessary
• create & execute test cases
• Design, develop and execute automated test scripts for regression testing.
• Test, report, and manage defect pipeline and communicate with the team.
• Collaborate with the design and development team to provide input as it relates to the requirements
• Setup test automation frameworks for multiple application platforms like Web and Mobile. Manage and execute test scripts on these frameworks.
• Investigate customer problems referred by the technical support team.
• Able to build different test scenarios and validate acceptance test cases.
• Handle technical communications with stakeholders and team 

Skills

• Bachelor's in Computer Science, Engineering, and minimum 1-2 years of industry experience as a Software Development Test Engineer.
• Must have excellent verbal and written communication skills.
• Testing materials like test cases, plans, test strategies, bug reports created should be easy to read and comprehend.
• Must efficiently manage multiple tasks, have high productivity, time management skills
• You should be able to upgrade your technical skills with the changing technologies.
• Able to work independently and take ownership of the product testing role
• should have a product mindset and spirit to work in an early-stage start-up.
• Should have previously set up an automation framework.

Other

• Must be able to work in Bangalore.
• Salary based on qualifications and experience.
• Excellent growth opportunity

About the Role:

We are building AI-native infrastructure for a high-performance equity trading firm from the ground up. This is a greenfield opportunity with significant ownership. You will architect and ship the full stack: frontend dashboards, backend systems, and AI pipelines that directly

power trading operations.

This is not a maintenance role. You will make real architectural decisions from day one and see your work have immediate impact.

What You Will Build

• AI pipelines for trade signal generation, risk analysis, and portfolio insights

• Backend systems for real-time data ingestion, processing, and storage at scale

• Internal trading dashboards and analyst-facing tools with fast, responsive UIs

• LLM-powered workflows integrated with proprietary equity data and research corpora

• Evaluation, monitoring, and observability for AI features running in production

Requirements

• 2 to 3+ years of end-to-end software development experience with shipped AI features in production

• Full stack ownership: comfortable across React or similar frontends, Python or Node backends, and cloud infrastructure

• Hands-on experience with LLM APIs, RAG pipelines, or ML model serving in real products•

• Strong engineering fundamentals: system design, data modeling, API design, and testing

• Ability to make architectural decisions independently and build from zero without hand-holding

• Clear written and verbal communication; able to work closely with non-technical stakeholders

Nice to Have

• Familiarity with equity markets, financial data feeds, or trading systems

• Experience with time-series databases or market data infrastructure

• Prompt engineering, LLM evaluation, and output reliability practices

• Vector databases and embedding pipeline design

• Low-latency backend system design

• Prior startup or small-team experience where you owned multiple layers

Why Join

• Greenfield build: no legacy code, no backlog of tech debt

• Direct impact on live trading operations from day one

• Competitive compensation package

• Relocation support available for the right candidate

• Dubai-based, one of the world’s leading financial hubs with a fast-growing tech ecosystem

How to Apply

Apply using: https://loopx.redstring.co.in/neuralis-private-limited/job/6a01d01a03b64ed111206470

Job Title: Freelance Python Team Lead & Developer (Hyderabad-based)

Project Overview

We are a service-based IT firm seeking a Senior Python Developer (3–5 years experience) for a long-term freelance engagement. This is a unique "Player-Coach" role where you will balance high-level individual coding with the leadership of a junior intern team.

Logistics & Commitment

• Location: In-office (Hyderabad). Candidates must be local.
• Time Commitment: 3–4 hours per day, 5 days a week (approx. 20 hours/week).
• Duration: Ongoing freelance contract.

Core Responsibilities

• Team Leadership: Lead and mentor a team of interns. You will be responsible for task delegation, technical guidance, and conducting rigorous code reviews to ensure production-quality output.
• Individual Contribution: Act as the lead developer for complex backend modules, API architecture, and system integrations using Python (Django/FastAPI).
• Delivery Management: Ensure that the intern team meets project milestones and adheres to clean coding standards (PEP 8).

Requirements

• 3–5 years of professional experience in Python development.
• Proven experience in a service-based company environment.
• Strong proficiency in Django, Flask, or FastAPI and SQL/NoSQL databases.
• Excellent communication skills with a natural ability to mentor and explain technical logic to juniors.
• Availability to work from our Hyderabad office during standard business hours.

Please include your resume and a brief summary of your experience leading teams or mentoring juniors.

Key Responsibilities

Platform Build & Architecture

• Refactor an existing Python-based prototype into a modular, production-grade platform

• Define clear service boundaries (API layer, orchestration, agent runtime, data access)

• Build reusable components that allow extension without exposing core engine logic Agent Framework & Orchestration

• Design and implement frameworks for AI agents and reporting workflows

• Build orchestration for multi-step execution (deterministic + AI-driven)

• Ensure outputs are traceable, auditable, and suitable for financial reporting Developer Enablement

• Enable internal/client developers to: o build and deploy reporting agents o reuse approved components o access platform capabilities via APIs (without direct code access)

• Implement access controls and abstraction layers Full Stack Development

• Lead development across: o Backend: Python, FastAPI o Frontend: Next.js o Real-time: WebSockets

• Build simple internal interfaces for: o job execution o monitoring o output review Code Governance & DevOps

Own development workflows in Azure DevOps • branching strategy, PRs, code reviews, merges • Set up CI/CD pipelines, environments (dev/test/prod), and release processes • Ensure code quality, testing, and maintainability standards Team Leadership (Near-term) • Act as the technical anchor o shore • Mentor and guide future hires as the team scales • Establish best practices across code, documentation, and delivery

Required Skills

• Strong experience in Python backend development (FastAPI or similar)

• Experience with React / Next.js

• Familiarity with WebSockets or real-time systems

• Experience building APIs and scalable backend systems

• Hands-on experience with Azure DevOps (repos, pipelines, PR workflows)

• Understanding of modular architecture, access control, and system design • Ability to operate in an early-stage, fast-evolving environment

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 talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.

KEY RESPONSIBILITIES

End-to-End ML Development

•     Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.

•     Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.

•     Validate model performance using appropriate statistical techniques and domain knowledge.

MLOps & Production Deployment

•     Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.

•     Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.

•     Ensure model reliability, observability, and performance in live production environments.

Language Models & LLM Applications

•     Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.

•     Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.

•     Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.

•     Support exploratory work around LLM integration and prompt engineering for internal tooling.

Domain-Driven Analytics

•     Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.

•     Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.

•     Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.

REQUIRED QUALIFICATIONS

Education

•     Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.

Experience

•     2–4 years of hands-on experience in a data science or machine learning role.

•     Demonstrable experience deploying ML models in production environments (not just prototyping).

Technical Skills

•     Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).

•     Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.

•     Hands-on experience with BERT-family models and Hugging Face Transformers library.

•     Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.

•     Solid understanding of SQL and working with large structured/unstructured datasets.

•     Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).

GOOD TO HAVE

•     Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).

•     Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.

•     Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.

•     Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).

•     Contributions to open-source ML projects or published research.

THIS ROLE IS NOT FOR YOU IF…

•     You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.

•     Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

7th Unit is building a wheeled upper-body humanoid robot for industrial deployment in Central Asia and Eastern Europe. This is a founding role, you own the perception architecture from day one.

What you'll do

• Build and own the full perception stack for v1 — object detection, depth estimation, workspace understanding
• Integrate perception with manipulation and motion planning systems
• Deploy and optimize perception pipelines on edge hardware (Jetson Orin or equivalent)
• Work directly on the physical robot — debugging real hardware, not simulations
• Develop the data pipeline for continuous improvement of perception performance

What we need

• 3+ years building perception systems for real robotic platforms — not research only
• Strong foundation in computer vision, 3D data processing, and sensor fusion
• Proficiency in Python and C++, hands-on experience with ROS2
• Experience deploying perception on edge compute hardware
• You have debugged a perception system on a physical robot under real operating conditions

Structure

• Position starts Q3 2026
• Equity negotiated directly, founding engineer package
• Remote during pre-build phase. In-person required from prototype assembly onward

7th Unit is building a wheeled upper-body humanoid robot for industrial deployment in Central Asia and Eastern Europe. This is a founding role, you own the hardware architecture from day one.

What you'll do

• Define arm and actuator architecture for v1 — degrees of freedom, actuator selection, mechanical design
• Design and build the gripper system optimized for our first deployment object set
• Develop the hot-swap battery system enabling continuous multi-shift operation
• Own structural design with field serviceability and manufacturing scale in mind
• Integrate with wheeled base platform sourced from established robotics component suppliers
• Deliver a working manipulation prototype within the first 90 days

What we need

• 3+ years designing and building physical robotic systems that operated outside a lab
• Hands-on experience with actuator selection, motor control integration, and real-world mechanical failure modes
• You have personally assembled and debugged a working robotic system end-to-end
• Comfortable making architecture decisions under uncertainty and iterating fast
• Experience with off-the-shelf component integration is a strong plus

Structure

• Position starts Q3 2026
• Equity negotiated directly, founding engineer package
• Remote during pre-build phase. In-person required from prototype assembly onward

About the Internship

The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.

Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.

Responsibilities

• Assist in collecting, cleaning, and analyzing datasets.
• Work on data visualization and reporting tasks.
• Support machine learning and AI model development activities.
• Participate in research and implementation of AI-based solutions.
• Perform data preprocessing and feature engineering tasks.
• Collaborate with mentors and team members on project assignments.
• Test, evaluate, and improve model performance.
• Maintain project documentation and reports.

Required Skills

• Basic understanding of Python or any programming language.
• Interest in Data Science, Analytics, and AI technologies.
• Knowledge of statistics, data handling, or logical reasoning is a plus.
• Good analytical and problem-solving skills.
• Ability to learn and work collaboratively in a team environment.

Preferred Skills (Optional)

• Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
• Basic understanding of Machine Learning concepts.
• Knowledge of SQL, Excel, or data visualization tools.
• Interest in Artificial Intelligence and automation technologies.

Who Can Apply

• Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
• Freshers seeking practical exposure in Data Science and AI.
• Candidates passionate about analytics, AI, and emerging technologies.

Perks & Benefits

• Hands-on experience with real-world datasets and projects.
• Mentorship from experienced professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Flexible learning and working environment.
• Opportunity to build practical technical skills.
• Top performers may receive future opportunities based on project requirements.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

Who are we?

Trendlyne is a Series-A funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.Our founders are IIT + IIM graduates, with strong tech and marketing experience. 

What do we do?

We build powerful analytics in the US and Indian stock market space that are best in class. Organic growth in B2B and B2C products have already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have 25 Lakh+ Monthly Average users on Trendlyne B2C website and app.

Visit us at trendlyne.com, or look for the trendlyne mobile app on the Google Play Store:

https://play.google.com/store/apps/details?id=com.trendlyne.markets

Tech Stack

• Python (Django)
• PostgreSQL / MySQL manages millions or row insertions each day
• Vector Databases / RAG manages all documents 
• Redis / caching systems
• REST APIs
• 100+ AI tooling and Foundation model integrations

Job Responsibilities : 

• Develop and maintain scalable, robust backend systems using Python and Django framework. 
• Work closely with product managers and other cross functional teams to help define, scope and deliver world-class products and high quality features addressing key user needs. 
• Translate requirements into system architecture and implement code while considering performance issues of dealing with billions of rows of data and serving millions of API requests every hour. 
• Ability to take full ownership of the software development lifecycle from requirement to release. 
• Writing and maintaining clear technical documentation enabling other engineers to step in and deliver efficiently. 
• Embrace design and code reviews to deliver quality code. 
• Play a key role in taking Trendlyne to the next level as a world-class engineering team 
• Develop and iterate on best practices for the development team, ensuring adherence through code reviews. 
• As part of the core team, you will be working on cutting-edge technologies like AI products, online backtesting, data visualization, and machine learning. 
• Develop and maintain scalable, robust backend systems using Python and Django framework.
• Proficient understanding of the performance of web and mobile applications.

Job Requirements : 

• Ownership mindset: you build, ship, and improve 
• At least 1+ years of experience with Python and Django. 
• Good knowledge of APIs, databases, and system performance
• Strong understanding of relational databases like PostgreSQL or MySQL and Redis. - (Optional): Experience with web front-end technologies such as JavaScript, HTML, and CSS

Job Title: Data Architect (Azure)

Location: Remote

Fulltime

Role Description

We are looking for a seasoned data leader to design, build, and own enterprise-scale data platforms on Azure. This role goes beyond development — it requires end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness.

You will act as the critical link between business stakeholders, data engineering teams, and analytics functions, ensuring scalable and high-performance data solutions are delivered and maintained.

Key Responsibilities:

• Design and implement robust data pipelines using Azure Data Factory (ADF), including integration with REST APIs and external data sources
• Build scalable data transformation workflows using Databricks (PySpark), handling complex and nested JSON datasets
• Architect and implement Delta Lake-based data platforms, including fact and dimension models (star schema)
• Define and enforce best practices for data modeling, performance optimization, and cost efficiency
• Own end-to-end data platform lifecycle — from architecture and deployment to monitoring and operational support
• Establish production readiness frameworks, including logging, alerting, and data quality checks
• Collaborate closely with business and analytics teams to translate requirements into scalable technical solutions
• Mentor engineering teams and drive architectural governance across projects

Required Experience & Skills:

•        Experience building pipelines with Azure Data Factory

•        Experience connecting to REST API sources using Azure Data Factory

•        Experience building transformations with Databricks using PySpark

•        Experience handling complex nested JSON files using PySpark

•        Experience designing dimensional models/star schema

•        Experience implementing facts and dimension tables in Databricks Delta Lake

•        Around 15-20 years of solid experience in building, managing, and optimizing enterprise data platforms with at least 5 years in Azure cloud data services

•        Act as a bridge between business, data engineering, and analytics teams to ensure requirements are clearly understood and implemented correctly

•        Own end-to-end production readiness of the data platform, including architectural design, deployment patterns, monitoring strategy and operational support.

The Role

As a Senior Site Reliability Engineer at Blitzy's Pune headquarters, you will be the backbone of our platform's reliability, scalability, and operational excellence. You'll work at the intersection of software engineering and infrastructure, ensuring our AI-powered development platform remains highly available and performant as we scale rapidly. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build.

What Success Looks Like

• In 30 days: You have a deep understanding of Blitzy's infrastructure architecture, have identified key reliability risks, and are actively contributing to on-call rotations.
• In 90 days: You have shipped meaningful improvements to observability, incident response workflows, and deployment pipelines that measurably reduce MTTR and increase system uptime.
• In 6 months: You have driven at least one major reliability initiative from inception to production, established SLO/SLA frameworks for critical services, and are a trusted technical voice shaping our infrastructure roadmap.

Areas of Ownership

• Design, build, and operate scalable, fault-tolerant infrastructure across cloud environments (AWS, GCP, or Azure).
• Define and enforce SLOs, SLAs, and error budgets; lead blameless postmortems and drive systemic improvements.
• Build and maintain robust CI/CD pipelines, release automation, and deployment infrastructure.
• Own observability: design and maintain logging, metrics, tracing, and alerting stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Partner closely with software engineering teams to embed reliability practices into the development lifecycle.
• Drive capacity planning, performance benchmarking, and cost optimization across our infrastructure.
• Champion security best practices within the infrastructure and deployment layers.

Required Experience

• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
• Strong proficiency in at least one major cloud platform (AWS preferred); experience with Kubernetes and container orchestration at scale.
• Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or equivalent).
• Proven track record designing and maintaining high-availability, distributed systems.
• Deep expertise in observability tooling, incident management, and on-call practices.
• Strong scripting and automation skills (Python, Go, Bash, or similar).
• Excellent communication skills with the ability to collaborate across engineering teams and present technical findings to leadership.

What Makes You Stand Out

• Experience supporting AI/ML workloads or GPU-accelerated infrastructure.
• Prior experience in a high-growth startup environment where you wore multiple hats.
• Familiarity with eBPF, service mesh technologies (Istio, Linkerd), or advanced networking.
• Contributions to open-source SRE/DevOps tooling or communities.
• Experience building global, multi-region infrastructure with strict latency and availability requirements.

What Makes This Role Different

You won't be maintaining legacy systems or fighting fires in a sprawling monolith. At Blitzy, you're building reliability into a greenfield AI platform that is redefining how the world creates software. You'll have direct influence over architectural decisions, work side-by-side with world-class engineers, and see the tangible impact of your work as we scale to serve Fortune 500 customers. As a founding member of the Pune SRE team, you'll help shape the culture and technical standards of a team that will grow with the company.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

Role: Senior Software Engineer (SDE III) – AI & Backend

Location: Bangalore

Experience: 5-8 Years

Notice: Immediate – 15 Days

Work Mode: Work From Office

Type: Contract to Hire (CTH)

Role Overview

We are looking for a Senior Software Engineer with strong expertise in backend development and AI systems. You will build scalable platforms, AI-powered agents, and real-time voice applications.

What You’ll Do

● Design and develop scalable backend services using Python

● Build microservices, RESTful APIs, and event-driven systems

● Develop AI-powered agents using LLM frameworks and multi-agent systems

● Work on voice systems using STT/TTS and real-time streaming architectures

● Integrate APIs, vector databases, and RAG-based systems

● Collaborate with cross-functional teams and mentor junior engineers

What We’re Looking For

● 5+ years of experience in software development

● Strong proficiency in Python.

● Experience with microservices and distributed systems

● Hands-on experience with LLMs and agent frameworks (LangChain, AutoGen, etc.)

● Familiarity with vector DBs, embeddings, and cloud platforms (AWS/GCP/Azure)

● Good communication skills and ownership mindset

Nice to Have

● Experience with voice systems (STT/TTS) and real-time architecture

● Exposure to MCP or similar frameworks

● Experience building AI copilots or multi-modal systems

AccioJob is conducting a Walk-In Hiring Drive with Medha AI for the position of Data Engineer.

Apply Now:

https://go.acciojob.com/rWVc8X

Required Skills: SQL, Python, Pandas

Eligibility:

Degree: BTech./BE

Branch: All

Graduation Year: 2025, 2026

Work Details:

Work Location: Bangalore Urban (Onsite)

CTC: ₹6 LPA to ₹7 LPA

Evaluation Process:

Round 1: Offline Assessment at AccioJob Bangalore Centre

Further Rounds (for shortlisted candidates only):

Resume Evaluation, Technical Interview 1, Technical Interview 2, HR Discussion

Important Note: Bring your laptop & earphones for the test.

Register here: https://go.acciojob.com/rWVc8X

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Role: Senior Technical Consultant

Schedule: Fully Remote but requiring working in EDT Zone (Second shift work till 12:30 AM IST)

Benefits: Cell-Phone Reimbursement, Food Allowance, Internet Allowance, Commute Allowance

Company:

Upland Software (Nasdaq listed) is a leader in AI-powered knowledge and content management software. Our solutions help enterprises unlock critical knowledge, automate content workflows, and drive measurable ROI—enhancing customer and employee experiences while supporting regulatory compliance. More than 1,100 enterprise customers rely on Upland to solve complex challenges and provide a trusted path for AI adoption.

Job Description

Opportunity Summary:

We are seeking an experienced Senior Technical Consultant to join our India-based Center of Excellence team. This role demands both technical depth and customer presence—someone who thrives under pressure, communicates clearly, and solves complex integration and troubleshooting challenges in real time, often while collaborating directly with customers on live calls.

What would you do?

· Customer Engagement & Solutioning

o Lead and participate in technical meetings with enterprise customers, including troubleshooting sessions and go-live support calls.

o Translate complex technical details into language understandable by both technical and non-technical stakeholders.

o Calmly manage tense situations and help de-escalate when technical issues or deadlines create pressure.

· Technical Implementation & Integration

o Configure, integrate, and optimize BA Insight connectors with systems such as SharePoint, FileNet, iManage, and other enterprise repositories.

o Utilize REST APIs and scripting (C#, PowerShell, or similar) to implement or extend integration logic.

o Troubleshoot complex issues across multi-tier environments including application servers, connectors, indexing services, and authentication systems.

o Support orchestration pipelines that prepare data (chunking, metadata tagging, indexing) for LLM/AI consumption.

· Cross-Functional Collaboration

o Work closely with Project Managers, Solutions Consultants, and Support to ensure project milestones are met.

o Partner with Product and R&D to identify defects, suggest enhancements, and test new connector functionality.

o Support Sales and Customer Success teams in technical scoping discussions and feasibility assessments.

· Documentation & Process Discipline

o Maintain detailed technical documentation and logs of customer work.

o Track time and deliverables accurately using internal project management and time-tracking tools.

o Follow established PS methodology and internal QA/SDLC standards.

What are we looking for?

· Minimum 4–6 years of experience in a technical consulting, support engineering, or implementation role within a SaaS or enterprise software company.

· Experience with enterprise content management or search-based applications (e.g., SharePoint, iManage, OpenText, Documentum, Elastic, Solr) strongly preferred.

· Prior exposure to AI or data orchestration workflows a plus (chunking, vectorization, or integration with LLMs).

Primary Skills:

The candidate must possess the following primary skills:

Core Engineering & Development

· Strong proficiency in scripting and automation (Python, PowerShell, etc.)

· Solid experience with APIs, integrations, and data pipelines

· Ability to design and implement scalable, reusable solutions

Enterprise Search (Hands-On)

· Practical experience with:

· Indexing pipelines and ingestion workflows

· Metadata modeling and enrichment strategies

· Relevance tuning and search optimization

· Ability to diagnose issues related to:

o Missing content

o Poor ranking

o Incorrect search results

AI & Copilot Troubleshooting (Critical Skill)

· Hands-on experience or strong capability to troubleshoot:

· Microsoft Copilot / AI search issues

· Data grounding problems (AI not finding the right content)

· Permissions and access-related issues

· Microsoft Graph / Search indexing gaps

· Strong understanding of:

o Retrieval-Augmented Generation (RAG) concepts (high level)

o How AI depends on data quality, structure, and access

Enterprise Platform Experience

· Hands-on experience with one or more:

· Microsoft ecosystem (SharePoint, OneDrive, Graph, Copilot)

· Salesforce, ServiceNow, or similar enterprise systems

· Understanding of authentication (SSO, OAuth) and access models

Advanced Troubleshooting & Problem Solving

· Ability to diagnose cross-system issues (AI + search + data source)

· Strong root cause analysis skills across:

o Data

o Integration

o Platform configuration

Delivery & Ownership

· Ability to work independently on deployments and complex issues

· Experience in customer-facing or delivery environments

· Capability to guide/mentor junior engineers

Soft Skills

· Fast learner capable of mastering complex products and customer environments quickly

· Self-starter who can manage multiple projects with minimal supervision

· Team-oriented mindset with strong empathy for customers and colleagues

· Passionate about connecting enterprise data with AI to drive intelligent outcomes

· Exceptional troubleshooting and analytical abilities

· Passionate about delivering an amazing customer experience

· Able to have a change of mind, and able to change the minds of others

· Writes clearly and concisely

· Capable of working without a company office, with a fully remote team

Growth Skills

· Possesses a good work ethic; a self-starter with a desire to grow

· Always looking for better ways to get the job done

Work Schedule

· As Mentioned above.

· Flexibility to alternate schedules with other CoE Project Managers to ensure consistent U.S. coverage.

Qualification

Bachelor’s degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field or equivalent combination of knowledge and experience. This role requires overlap with multiple time zones for planning meetings, status updates etc. on a regular basis. The duration of these overlaps can change depending on the type of meeting. Upland India has the flexibility to manage your working hours accordingly to help in your work-life balance. You can find out more about this during your interview conversation.

About BA Insight

Upland BA Insight is an enterprise search and AI orchestration platform that connects knowledge across systems like SharePoint, FileNet, iManage, Jira, and Documentum. Our technology enables intelligent search and data orchestration pipelines that prepare content for use with AI models such as ChatGPT, Microsoft Copilot, and Azure OpenAI.

Job Title : Technical Team Lead (Python/Django)

Experience Required : 8+ Years

Location : Surat

Work Mode : On-site

Employment Type : Full-time

About the Role :

We are looking for an experienced Technical Team Lead to drive architecture, scalability, and end-to-end product engineering for a fast-growing technology platform.

The ideal candidate should have strong expertise in Python/Django-based backend systems, scalable cloud infrastructure, and modern frontend/mobile technologies.

This role requires a hands-on technical leader who can mentor engineers, make architectural decisions, ensure production stability, and collaborate closely with product and design teams to deliver high-quality software solutions.

Mandatory Skills :

Python, Django, MongoDB, REST APIs, AWS, CI/CD, React.js/Flutter, JWT Authentication, GitHub Actions, AI/ML Integrations, Team Leadership.

Key Responsibilities :

• Lead architecture and technical direction across backend, frontend, mobile, and infrastructure layers.
• Design and maintain scalable, secure, and high-performance systems.
• Review code, enforce engineering standards, and maintain development best practices.
• Manage backend APIs, database optimization, and cloud deployments.
• Drive CI/CD implementation and release management processes.
• Work on AI/ML integrations and intelligent automation features.
• Ensure smooth end-to-end feature delivery from development to production deployment.
• Mentor and guide backend/frontend engineers and conduct technical reviews.
• Collaborate with product, design, and business stakeholders.
• Handle production incidents, debugging, and system reliability ownership.
• Improve application performance, monitoring, and scalability.

Technical Skills Required :

Backend & Database :

• Strong expertise in Python and Django framework.
• Experience building and maintaining large-scale REST APIs.
• MongoDB design, aggregation pipelines, & query optimization.
• Authentication and authorization using JWT.
• Experience with WebSockets and real-time systems.

Frontend & Mobile :

• Hands-on experience with React.js and Redux.
• Knowledge of Flutter (Dart) is preferred.

Cloud & DevOps :

• AWS EC2, S3, and cloud infrastructure management.
• CI/CD pipeline implementation using GitHub Actions.
• Git workflows, branching strategy, PR reviews, and release management.

AI & Integrations :

• Experience integrating OpenAI or similar AI/ML services.
• Payment gateway integration experience.
• Push notification systems such as Firebase FCM.

Required Qualifications :

Must Have :

• 8+ years of experience in Backend or Full Stack Development.
• Strong experience with Python/Django in production environments.
• Expertise in scalable backend architecture and API development.
• Experience with MongoDB optimization and cloud deployments.
• Hands-on experience with CI/CD and DevOps workflows.
• Strong debugging, problem-solving, and leadership abilities.

Preferred Skills :

• Experience leading teams of 3–8 engineers.
• Exposure to AI-driven applications or intelligent systems.
• Experience in Health-tech, Food-tech, or consumer platforms.
• Knowledge of scalable real-time applications and event-driven systems.

Development & Engineering Practices :

• Feature branch-based development workflow.
• Pull Request reviews with approval process.
• Protected production branches and controlled deployments.
• Sandbox/UAT testing before production release.
• Automated deployment pipelines using GitHub Actions.
• Strong focus on auditability, monitoring, and production stability.

Soft Skills :

• Strong communication and stakeholder management skills.
• Ownership mindset with leadership capabilities.
• Ability to work in a fast-paced product environment.
• Team mentoring and collaboration skills.
• High attention to scalability, reliability, and code quality.

Company Description

Eassy Onboard LLP is a team of Databricks Certified Data Engineers committed to empowering businesses through data-driven solutions. Specializing in automated workflows, scalable architectures, optimized data pipelines, and AI solutions, we help organizations reduce manual effort, optimize costs, and achieve reliable insights. We ensure secure data operations with robust validation processes and strong data integrity. As an Employer of Record (EOR), we assist global companies in hiring top Indian talent, managing payroll, compliance, and regulatory requirements. Our mission is to accelerate enterprise transformation and enable companies to build future-ready, compliant teams.

Role Description

We are seeking a Senior Data Engineer with deep expertise in Spark/PySpark/SQL to join our data team.

This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers, and shaping data strategy.

You will architect systems that power high-performance data processing, enable advanced analytics, and accelerate AI initiatives.

What You'll Do

• Design and evolve scalable, distributed data infrastructure across cloud platforms including GCP and AWS.
• Build and maintain real-time and batch data processing pipelines supporting AI/ML workloads, consumer applications, and analytics.
• Develop and manage integrations with third-party e-commerce platforms to expand the data ecosystem.
• Ensure data availability, reliability, and quality through monitoring and automated auditing.
• Partner with engineering, AI, and product teams on data solutions for business-critical needs.
• Mentor and support data engineers, establishing best practices and code quality standards.

Qualifications

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of software development and data engineering experience with ownership of production-grade data infrastructure.
• Deep expertise scaling Spark, PySpark, and SQL in production, including Databricks or DataProc on GCP.
• Strong understanding of distributed computing and modern data modeling for scalable systems.
• Proficient in Python with experience implementing software engineering best practices.
• Hands-on experience with both relational and NoSQL systems including MySQL, MongoDB, and Elasticsearch.
• Strong communicator with experience influencing cross-functional stakeholders.

Nice to Have

• Experience with job orchestration and containerization tools such as Airflow and Docker.
• Experience working with vector stores and knowledge graphs.
• Experience working in early-stage, high-growth environments.
• Familiarity with MLOps pipelines and integrating ML models into data workflows.
• A proactive, problem-solving mindset with a passion for innovative solutions.

Job Details:

• Role: Senior Staff Engineer
• Experience: 7.5-9 Years
• Employment Type: Full-time
• Work Mode: Remote

Job Description

REQUIREMENTS:

• Strong hands-on experience in Java and Python
• Expertise in Microsoft Azure AI/ML services
• Experience with LLM application frameworks (LangChain, LangGraph, or similar)
• Strong experience in API development and system integration
• Experience building backend systems and scalable architectures
• Solid understanding of data structures, system design, and distributed systems
• Familiarity with cloud-native deployments, CI/CD, and observability tools
• Experience with LLM tools/providers and AI-assisted development (Good to Have)
• Strong problem-solving and communication skills

RESPONSIBILITIES:

• Design and develop autonomous AI agents capable of multi-step reasoning and decision-making
• Build and orchestrate agent workflows using modern frameworks (LangChain, LangGraph, etc.)
• Integrate AI agents with APIs, databases, and SaaS platforms for end-to-end automation
• Develop prompt engineering strategies, memory architectures, and tool integrations
• Deploy, monitor, and maintain AI agents in production environments
• Optimize agents for performance, scalability, latency, and cost efficiency
• Debug and improve agent behavior using testing, logging, and feedback loops
• Collaborate with cross-functional teams to embed AI solutions into business workflows
• Write clean, scalable, and production-ready backend code
• Stay updated with emerging AI/LLM trends and agent frameworks

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields   

Role Overview 

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability  

Job Title: Product Lead or Tech Lead (AI & Infrastructure)

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3. AI Solutions

Role Overview-You will be the architectural backbone of Timble’s AI engine. This role requires a strong backend & systems mindset with exposure to AI/ML systems—balancing the development of high-accuracy fraud detection models with the scalable infrastructure required to run them.

Key Responsibilities

·      Engineering Leadership: Lead the development of our core AI products, including Bank Statement Analyzers, Face Match technology, and Electronic Residence Physical Verification (ERPV).

·      AI/ML Architecture: Design and deploy AI/ML-driven systems for document intelligence, fraud detection, and automation to enhance real-time intelligence.

·      Delivery Ownership: Take end-to-end ownership of features and ensure timely delivery in high-stakes production environments.

·      System Design & Scalability: Design and optimize high-throughput, low-latency API systems capable of handling real-world production loads across our 30+ high-quality APIs.

·      Hands-on Contribution: Remain hands-on with code when required, especially for critical modules, core architecture decisions, and troubleshooting.

·      Practical AI Application: Work on integrating and scaling AI/ML components in production. You must have the ability to apply complex AI solutions to solve real-world business problems.

·      Technical Strategy & InfoSec: Oversee Information Security protocols to protect proprietary financial data. Lead IP-related technical work, including patent-pending research for our authentication engines.

·      Mentorship: Act as the technical North Star for SDE-1 and SDE-2 engineers, instilling a culture of clean code, scalability, and cloud economics.

What We’re Looking For

·      Technical Expertise: Strong backend engineering expertise (Python or similar), with experience in building and maintaining scalable systems. Exposure to ML frameworks (TensorFlow/PyTorch) is a plus.

·      Domain Knowledge: Previous experience in Fintech, Cybersecurity, or BFSI tech stacks is highly preferred.

·      Infrastructure Skills: Solid experience with cloud infrastructure (AWS/GCP/Azure) and maintaining high availability.

·      Vision: The ability to translate complex fraud patterns into automated, executable code and a passion for "efficiency by design."

Learn more about us at: https://timbleglance.com

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

• Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
• Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
• I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Responsibilities:

• Develop user-facing features such as web apps and landing portals.
• Ensure the feasibility of UI/UX designs and implement them technically.
• Create reusable code and libraries for future use.
• Optimize applications for speed and scalability.
• Contribute to the entire implementation process, including defining improvements based on business needs and architectural enhancements.
• Promote coding, testing, and deployment of best practices through research and demonstration.
• Review frameworks and design principles for suitability in the project context.
• Demonstrate the ability to identify opportunities, lay out rational plans, and see them through to completion.

Requirements:

• Bachelor’s degree in Engineering with 5-8 years of software product development experience.
• Proficiency in React, Django, Pandas, GitHub, AWS, and JavaScript.
• Strong knowledge of PostgreSQL, MongoDB, and designing REST APIs.
• Experience with scalable interactive web applications.
• Understanding of software design constructs and implementation.
• Familiarity with ORM libraries and Test-Driven Development.
• Exposure to the Finance domain is preferred.
• Knowledge of HTML5, LESS/CSS3, jQuery, and Bootstrap.
• Expertise in JavaScript fundamentals and front-end/back-end technologies.

Nice to Have:

• Strong knowledge of website security and common vulnerabilities.
• Exposure to financial capital markets and instruments.

Compensation and Benefits Package:

• Competitive compensation with a discretionary annual bonus.
• Performance-linked variable compensation.
• Medical insurance.

A note on location. While we have team centers in Boulder, New York City, San Francisco, Charlotte, and Bangalore, this role is based out of Mumbai. 

TIFIN is an equal-opportunity workplace, and we value diversity in our workforce. All qualified applicants will receive consideration for employment without regard to any discrimination.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

To be a successful Senior Data Engineer, you should have experience with:

• Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success.
• Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks.
• Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark.
• Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology.
• Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications.

Additional relevant skills given below are highly valued:

• Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL.
• Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

About Simbian

Simbian is at the forefront of cybersecurity innovation, leveraging purpose-built AI Agents to deliver 10x security outcomes for global enterprises and MSSPs. Our platform autonomously investigates and responds to alerts, freeing security teams from repetitive tasks. Simbian combines privacy-first technology, proven integration with 70+ enterprise tools, and rapid deployment for measurable value. Role

Overview

We are seeking a collaborative, innovative DevOps Engineer passionate about enabling secure, scalable operations for cutting-edge cybersecurity products. Join our team during a period of high growth and help architect the future of agentic AI security platforms.

Key Responsibilities

• Kubernetes Management:

o Manage and maintain production-grade Kubernetes clusters across multiple cloud providers (AWS is essential, Azure is valuable, GCP is a plus).

o Deploy, upgrade, troubleshoot, and scale stateful and stateless workloads (NGINX, Postgres, MongoDB, OpenCTI, OpenSearch, Kafka, Hadoop, Fluentd) in Kubernetes.

• Cloud Operations:

o Operate and optimize cloud environments, with strong expertise in AWS (AWS Certified Solutions Architect Professional or equivalent Azure cert preferred).

o Design, deploy, and manage infrastructure on AWS and Azure (GCP optional). • SQL Database Management:

o Administer SQL databases, ideally Postgres, on Kubernetes clusters or cloud VMs.

o Perform routine maintenance, backups, upgrades, monitoring, and optimization.

• Infrastructure as Code:

o Build, install, upgrade, and maintain Helm charts with expertise.

o Use and understand Ansible for cloud automation (AWS/Azure), and Terraform for infrastructure provisioning.

• Monitoring, Logging, Observability:

o Implement and manage logging and metrics stacks using OpenSearch/Elasticsearch, Prometheus, Grafana, Thanos or similar open source tools.

• Programming & Scripting:

o Develop automation scripts in Bash (proficient with control structures). o Produce scripts or microservices in Node.js (preferred) or Python/Django (bonus).

• CI/CD:

o Build and maintain CI/CD pipelines preferably using GitHub Actions (Jenkins or equivalent is acceptable).

• Containerization:

o Create, manage, and troubleshoot Docker/Podman containers, images, volumes, and use Docker Compose for local development.

• Customer-Facing On-Prem Deployments (Bonus):

o Install, configure, and support Kubernetes on customer premises.

o Demonstrate ownership, initiative, and strong customer communication skills.

o Solid knowledge of Linux administration, networking, and cloud environments.

What You’ll Bring:

• 4+ years’ experience in DevOps, SRE, or Production Engineering.

• Mastery of Kubernetes, AWS, infrastructure automation, and database management.

• Strong collaborative, curious, and growth-driven mindset.

• Ability to challenge ideas, drive innovation, and embrace rapid change.

• Excellent communication for technical customer interactions.

Why Join Simbian?

• Work with pioneering agentic AI security—impact global security teams.

• Shape infrastructure for privacy-first technology in a high-growth startup.

• Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement. 

Platform Engineer – Cloud & On-Prem Infrastructure

Location - Pune or Bangalore (WFO- 5 days)

Must-Have Skills:

• 8+ years deploying, upgrading, and maintaining infrastructure across on-premises and public cloud, with Kubernetes and Docker
• Proficiency in Infrastructure as Code using Terraform or Pulumi
• Hands-on coding in Golang or Python, plus Bash scripting 

Good-to-Have Skills:

• Familiarity with Kubernetes management solutions (OpenShift, Rancher, GKE, EKS, AKS, VMware TKG) 
• Experience with VM management platforms (e.g., Red Hat OpenShift Virtualization, VMware) 
• Kubernetes certifications (CKA, CKAD) 
• Exposure to service mesh technologies (Istio, Linkerd)

Who You Are

• A platform engineer who builds and maintains the infrastructure backbone for both on-prem and cloud environments
• Passionate about automating daily operations and eliminating manual toil
• Comfortable authoring and evolving IaC (Infrastructure as a Code) templates to enforce consistency.

What You’ll Do & Learn

• Roll out & maintain on-premises and cloud infrastructure for development and testing environments 
• Implement & support CI/CD pipelines to drive our software delivery processes
• Develop automation tools that streamline routine operations and improve reliability 
• Build & enhance Infrastructure-as-Code templates (Terraform, Pulumi) for rapid, repeatable provisioning 
• Document system designs, configurations, and processes to enable an asynchronous, distributed team culture

Role Overview

We are seeking an excellent Python developer with strong coding skills and a proven ability to solve complex problems. The role involves working on backend systems and automation projects, with flexibility across domains for technically strong candidates.

Key Responsibilities

• Develop, optimize, and maintain Python-based applications.
• Contribute to backend development and automation workflows.
• Collaborate with cross-functional teams to deliver scalable solutions.
• Troubleshoot and resolve technical challenges with a problem-solving mindset.
• Ensure code quality, performance, and maintainability.

Key Requirements

• Strong expertise in Python programming with excellent coding skills.
• Experience in backend development or automation systems preferred.
• Demonstrated problem-solving ability and technical depth.
• Open to diverse domains, provided the candidate is technically strong.

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

Lead / Sr. Data Engineer (Architect & Engineering Owner)

The Role

We are seeking a Lead Data Engineer who operates at the intersection of high-scale engineering and enterprise architecture. In this role, you will "own" our healthcare data platform end-to-end. You aren't just building pipelines; you are designing the blueprint for how clinical, claims, and sales data flow through our ecosystem. You will bridge the gap between legacy systems (MSSQL/Oracle) and modern cloud warehouses (Snowflake/Redshift/Databricks), ensuring our data is governed, HIPAA-compliant, and optimized for advanced analytics.

What You’ll Do

1. Architecture & Strategic Leadership

• Design the Blueprint: Own the enterprise data architecture (Staging, Integration, Warehouse, and Semantic layers). Define the evolution from monolithic databases to scalable cloud-hosted analytics.
• Modeling Mastery: Lead the design of complex Dimensional Models (Star/Snowflake) and implement advanced Slowly Changing Dimension (SCD) strategies to track historical clinical events.
• Set the Standard: Establish coding, version control (GitHub), and CI/CD standards. Conduct design reviews and mentor a team of engineers to move from "task-takers" to "system-builders."

2. Advanced Data Engineering (Hands-on)

• Modern ELT/ETL: Build and orchestrate production-grade pipelines using Python, Airflow, and dbt. Manage automated ingestion via Fivetran or custom-built frameworks for APIs and EHRs.
• Multi-Engine Expertise: Operate seamlessly across PostgreSQL, MSSQL, and Oracle, while optimizing petabyte-scale cloud warehouses like Snowflake or Redshift.
• Performance Tuning: Own query optimization. You should be the expert at using EXPLAIN/ANALYZE, partitioning, and indexing to reduce compute costs and latency.
• Quality & Reconciliation: Design robust validation frameworks to ensure data integrity—essential for healthcare compliance and clinical trust.

3. Healthcare Interoperability & Governance

• Data Standards: Map diverse datasets (EHR, API, Flat Files) to HL7 FHIR resources and curated analytic layers.
• Privacy by Design: Embed HIPAA Security Rule safeguards (encryption, audit trails, and access controls) directly into the code and infrastructure.
• Interoperability: Handle complex semi-structured data (JSON/XML) from third-party partners and EMR systems.

What You’ll Bring

• Experience: 8–12+ years in Data Engineering/Architecture. You should have a track record of leading technical projects or mentoring teams.
• The "Hybrid" Stack: * Expert SQL/PL-SQL: Deep experience with performance tuning in relational environments (Oracle/MSSQL).
• Modern Tools: Practical experience with Snowflake/Redshift, dbt, and Airflow.
• Programming: High proficiency in Python (Pandas, PySpark) or Java/Scala for custom ETL routines.
• Architectural Depth: Clear understanding of SDLC, Agile (Scrum), and Data Modeling frameworks.
• Healthcare Domain: Exposure to pharmaceutical or clinical data (Life Sciences, EMR, or Claims) is highly preferred.
• Soft Skills: The ability to translate "clinical business needs" into "technical runbooks" and communicate effectively with stakeholders.

Nice to Have

• AI/ML Integration: Experience supporting Data Science teams with feature extraction and model deployment (SageMaker/Azure ML).
• Advanced Tooling: Familiarity with NoSQL (MongoDB), search engines (Elasticsearch), or niche ETL tools (Talend/Informatica) for migration purposes.
• Cloud Infrastructure: Hands-on experience with AWS Glue, Lambda, or Azure Data Factory.

ML DEVELOPER

Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve diverse real world problems. We are rapidly growing, working with multiple companies around the world.

JOB OVERVIEW

We are seeking a talented and results-oriented ML Developer to join our growing team in India. In this role, you will be responsible for developing and implementing new advanced ML algorithms and AI agents for creating AI assistants of the future. 

The ideal candidate will work on a complete ML pipeline starting from extraction, transformation and analysis of data to developing novel ML algorithms. The candidate will implement latest research papers and closely work with various stakeholders to ensure data-driven decisions and integrate the solutions into a robust ML pipeline.

RESPONSIBILITIES:

• Create AI agents using Model Context Protocols (MCPs), Claude Code, DsPy etc.
• Develop custom evals for AI agents.
• Build and maintain ML pipelines
• Optimize and evaluate ML models to ensure accuracy and performance.
• Define system requirements and integrate ML algorithms into cloud based workflows.
• Write clean, well-documented, and maintainable code following best practices

REQUIREMENTS:

• 2-3+ years of experience in data science, machine learning, or a similar role.
• Demonstrated expertise with python, PyTorch, and TensorFlow.
• Graduated/Graduating with B.Tech/M.Tech/PhD degrees in Electrical Engg./Electronics Engg./Computer Science/Maths and Computing/Physics
• Has done coursework in Linear Algebra, Probability, Image Processing, Deep Learning and Machine Learning.
• Has demonstrated experience with Model Context Protocols (MCPs), DSPy, AI Agents, MLOps etc

WHO CAN APPLY:

Only those candidates will be considered who,

• have relevant skills and interests
• can commit full time
• Can show prior work and deployed projects
• can start immediately

Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above.

SALARY DETAILS: Commensurate with experience.

JOINING DATE: Immediate

JOB TYPE: Full-time