50+ Python Jobs in Bangalore (Bengaluru) | Python Job openings in Bangalore (Bengaluru)

Role Objective

We are seeking a Principal Python Engineer to lead the architecture, development, and scaling of our core backend systems. You will be responsible for defining technical standards, optimizing high-throughput distributed systems, and mentoring a team of senior developers. The ideal candidate has a deep mastery of the Python ecosystem and a proven track record of delivering enterprise-grade software.

Key Responsibilities

• System Architecture: Design and implement scalable, resilient, and secure microservices architectures using Python.
• Technical Leadership: Act as the final authority on technical decisions, code reviews, and architectural patterns.
• Performance Optimization: Identify and resolve complex bottlenecks in high-concurrency environments (using asyncio, multiprocessing, etc.).
• Infrastructure & Cloud: Oversee cloud-native deployments (AWS/Azure/GCP) using Docker, Kubernetes, and Terraform.
• Database Strategy: Design complex schemas and optimize queries across Relational (PostgreSQL) and NoSQL (MongoDB, Redis, Cassandra) databases.
• Mentorship: Lead by example through high-quality code and drive the professional growth of the engineering team.

Mandatory Skills & Requirements

• Python Mastery: 10+ years of professional experience with deep knowledge of Python internals, memory management, and advanced OOPS.
• Backend Frameworks: Extensive experience with FastAPI, Django, or Flask in a production environment.
• Distributed Systems: Proficiency with message brokers like Kafka, RabbitMQ, or Celery.
• Engineering Excellence: Strong command of TDD (Test Driven Development), CI/CD pipelines, and SOLID principles.
• Security: Deep understanding of OAuth2, JWT, and web security best practices (OWASP).
• Education: Bachelor’s or Master’s degree in Computer Science or a related engineering field.

Preferred / Bonus Skills

• Polyglot Experience: Proficiency in Go, Rust, or Java for high-performance modules.
• AI/ML Integration: Familiarity with integrating LLMs, LangChain, or PyTorch into production pipelines.
• Data Engineering: Experience with Big Data tools like Apache Spark or Snowflake.

Top 5 Mandatory Skills

1. Architectural Design: Ability to design end-to-end distributed systems from scratch.
2. Concurrency Mastery: Expert-level use of asyncio and parallel processing.
3. Database Optimization: Advanced PostgreSQL/NoSQL performance tuning.
4. DevOps & Scalability: Hands-on experience with Kubernetes and scaling applications for millions of users.
5. Technical Governance: Proven experience in setting coding standards and leading large-scale code reviews.

Role : AWS Data Engineer

Location : Anywhere in India - where cognizant office is available 

Contract duration : 12 months contract

Total Experience : 8-10 years

Budget-15LPA

Relevant Experience : 5+years with required skills & data engineering

Client : Cognizant

Job description : 

Python

Spark

Gradle 

AWS Services (ex: S3, Athena, Redshift, Transfer, SNS, SQS, Event Bridge, Lamda, Glue Data Catalog, RDS, EC2, IAM, Flink)

Kubernetes

Argo

Kafka / Kinesis streaming

SQL

ETL Data Pipelines

Data Modelling

Power BI/ Any reporting tools

New Relic / Terraform

Operational support - Batch monitoring, root cause analysis and fix

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

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

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

Current Technology Stack

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

Key Responsibilities

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

Candidate Requirements

Education

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

Location

• Bangalore

Role-Based Skills

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

Behavioral Skills

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

Key Responsibilities 

• Design, develop, and optimize ETL/ELT pipelines for handling massive datasets using Python, Java & Spark for batch and real-time streaming. 
• Build and maintain data architectures including data lakes, warehouses (e.g., Snowflake, DB2). 
• Implement data modeling (star/snowflake schemas), ensure data quality, lineage tracking, and reliability engineering practices. 
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data solutions while optimizing for cost and performance. 
• Deploy and monitor pipelines on cloud platforms (AWS/GCP/Azure) with CI/CD. 

Required Qualifications 

• Bachelor’s/Master’s in Computer Science, IT, or related field. 
• 3-5 years in data engineering, with strong emphasis on data-intensive environments. 
• Proficiency in Python, Java (core for data apps), SQL/NoSQL, PySpark/Spark, Kafka for streaming. 
• Experience with big data tools, cloud data services, and ETL frameworks (Airflow, dbt) 

AI/ML Engineer (Generative AI Focus) Lead

Key points:

•Immediate joiner

•Gen AI

•Lead

•RAG

•Bangalore location

•All 5 days office

•Customer round

Job Summary: We are seeking a skilled AI/ML Engineer with 7-10 years of experience in AI/ML technologies, including hands-on expertise to develop and implement Generative AI and Agentic AI solutions. The ideal candidate will have hands-on experience with RAG systems, embedding models, document processing, and basic agent frameworks and NLP. This role involves working closely with senior architects and cross-functional teams to build scalable AI systems and integrate GenAI capabilities into our products.

Key Responsibilities:

AI/ML Development & Implementation:

•Design, develop, and deploy machine learning models for various applications, ensuring performance, scalability, and reliability

•Implement and optimize AI pipelines, including data preprocessing, feature engineering, model training, and evaluation

•Work on integrating Generative AI (GenAI) technologies, such as Large Language Models (LLMs), into production workflows

•Implement RAG systems with efficient retrieval components

•Develop document processing pipelines including chunking and metadata extraction

•Apply embedding models for semantic search applications

•Build and maintain vector databases for knowledge retrieval

Code Quality & Engineering Practices:

•Write clean, maintainable, and efficient code following best practices

•Participate in code reviews to ensure adherence to coding standards

•Implement unit tests and integration tests for AI models and components

Evaluation & Testing:

•Develop and execute test cases for AI models during black-box testing phases

•Monitor model performance using appropriate metrics and KPIs

•Assist in troubleshooting and debugging AI models in production

GenAI & LLM Expertise:

•Work with fine-tuning and optimizing LLMs for specific use cases

•Assist in developing AI agents using frameworks like LangChain or LlamaIndex

•Gain experience with vector databases and embedding models

Collaboration & Continuous Learning:

•Work closely with data scientists, software engineers, and product teams

•Stay updated with the latest advancements in AI/ML and GenAI

•Contribute to knowledge sharing within the team

Required Skills & Qualifications:

•7-10 years of hands-on experience in AI/ML development

•Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, or similar)

•Understanding of machine learning, deep learning, and NLP concepts

•Familiarity with cloud platforms.

•Basic understanding of GenAI concepts and technologies

•Bachelor's/Master's in Computer Science, Data Science, or related field

Preferred Qualifications:

•Experience with any aspect of the MLOps lifecycle

•Exposure to testing AI models and pipelines

•Contributions to open-source projects or personal AI/ML projects

•Strong problem-solving and analytical skills

Why Join Us?

•Opportunity to work on cutting-edge AI/ML projects with mentorship from senior architects

•Collaborative environment that fosters learning and growth continuous learning and growth.

Who are we?

Trendlyne is 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. We have top finance and management experts on the Board of Directors.

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 a 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
• Redis / caching systems
• REST APIs

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. 
• Proficient understanding of the performance of web and mobile applications.
• Mentor junior developers and foster skill development within the team.

Job Requirements : 

• 4+ 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.
• Ownership mindset: you build, ship, and improve
• (Optional): Experience with web front-end technologies such as JavaScript, HTML, and CSS 

Reports to the- CTO

Location- Bangalore, HSR

CTC & Benefits Offered: Best in the Industry

About AppsForBharat

AppsForBharat (Sri Mandir App) is building beautifully crafted, AI-first consumer experiences that help millions of Indians connect with spirituality and culture. We’re backed by Peak XV Partners, Elevation, Fundamentum, and other top-tier investors, and are one of India’s fastest-growing Series C consumer-tech companies.

Our flagship product, Sri Mandir, is the world’s largest platform for Hindu devotees, powering rituals, teachings, personalized recommendations, and a thriving devotional community. India’s $44B devotion economy is still largely offline, and we’re bringing structure, accessibility, and meaning to this massive market, where design and data play a central role in shaping user behaviour at scale.

About the Role

We are seeking a seasoned Backend Engineering Manager with deep expertise in Golang to lead our backend team. The ideal candidate has 7+ years of experience in backend technologies and 3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.

Responsibilities

Technical & Product Delivery

• Oversee design and development of backend systems operating at 10K+ RPM scale.
• Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).
• Partner with product managers to scope, prioritize, and release B2C product features and applications.
• Ensure architectural best practices, high-quality code standards, and robust testing practices.
• Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.
• Has worked on B2C setup with at least 150K DAU and served transactions to this userbase.

Operational Excellence

• Champion observability, monitoring, and reliability across backend services.
• Continuously improve system performance, scalability, and resilience.
• Streamline development workflows and engineering processes for speed and quality.

Requirements

Experience:

• 7+ years of professional experience in backend technologies.
• 2-3 years as Tech lead and driving delivery.

Technical Skills:

• Strong hands-on expertise in Golang OR Python.
• Proven track record with high-scale systems (≥10K RPM).
• Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.

Leadership Skills:

• Demonstrated success in managing teams through 2–3 appraisal cycles.
• Strong experience working with product managers to deliver consumer-facing applications.
• Excellent communication and stakeholder management abilities.

Nice-to-Have

• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry).
• Previous leadership experience in B2C product companies operating at scale.

What We Offer

• Opportunity to lead and shape a backend engineering team building at scale.
• A culture of ownership, innovation, and continuous learning.
• Competitive compensation, benefits, and career growth opportunities.

Fill out this form for a quick turnaround: https://forms.gle/Mc2Y36AGjSRmD7rb6

Qualifications:

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

GCP Data Engineer 

Experience : 8 – 15 yrs

Grade : C2/D1

Skill – GCP + Python/Pyspark

NP : Immediate joiners

* 8+ years of hands-on experience in Python.

* 8+ years of hands-on experience in Data Engineering.

* 5+ Years of hands-on experience in GCP Big Query.

* Experience in building scalable data pipelines and automation frameworks.

* Experience migrating data and pipelines from SQL Server to GCP Big Query.

* Familiarity with CI/CD tools and Agile methodologies.

* Good understanding on Data Governance, Data Quality, Metadata, Lineage

* Expertise in Data Model design in Big query.

* Expertise in writing optimal Big query SQL and Stored Proc.

* Expertise in GCS Cloud Storage, Pub Sub. Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.

* Expertise in Vertex AI and Feature Store.

* Expertise in Spark and Apache Beam is desirable.

Email resumes to : naveenkb @ 10xscale.ai

About us:

Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).

Our mission is to serve the underserved MSME businesses in India with their credit needs. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).

As a technology and data-first company, tech and data enthusiasts play a crucial role in building the infrastructure at Optimo, and help the company thrive.

What we offer:

Join our dynamic startup team as a Backend Developer and play a crucial role in building robust web APIs, credit risk and underwriting decision engines, third-party tech integrations, data pipelines, and cloud infrastructure.

This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment. We believe that the freedom and accountability to make decisions in system architecture and technical design bring out the best in you — and help us build the best for the company.

What We Look For:

We're looking for individuals with strong proficiency in Python, Django, and RESTful API development. Experience with Flask, FastAPI, or AWS is a strong plus. Beyond skills, we value your attitude - your hunger to learn, take ownership, and thrive both independently and as part of a team.

We encourage picking up new technologies fast, understanding them deeply, and shipping them into production with confidence.

Skills:

>Core Backend

• Python: Strong proficiency in writing clean, production-level Python code.
• Django & Django REST Framework: Working knowledge in building and maintaining server-side applications.
• Flask / FastAPI: Experience building lightweight RESTful APIs is highly valued
• REST APIs: Strong understanding of API design principles; prior experience building or integrating REST APIs from scratch is essential.

>Databases

• Solid understanding of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB)
• Basic knowledge of query design, database management, and performance optimization.

>Cloud & DevOps

• Basic understanding of AWS (EC2, S3, Lambda, or similar services) is beneficial.
• Familiarity with CI/CD pipelines, server deployments, and cloud infrastructure management is a plus.

>Data

• Understanding of data pipelines and ETL processes is a plus.
• Exposure to dashboarding or data layer tools is appreciated but not required.

>Version Control

• Proficiency in Git — branching, merging, pull requests, and conflict resolution.
• Experience contributing to collaborative codebases is highly valued.

What You'll Work On:

• Design and build backend systems for end-to-end lending workflows — from customer onboarding to loan disbursement — with a focus on credit and risk assessment.
• Develop and maintain REST APIs and rule engines that power straight-through processing for property loans.
• Integrate third-party APIs and services into our core platform.
• Support cloud infrastructure management, including source code repositories, CI/CD pipelines, and deployments.
• Take projects from ideation to production with ownership and accountability.

Other Requirements:

• 2–5 years of industry experience in a backend or software engineering role is required.
• Full-time availability in Bangalore; immediate joiners preferred.
• Strong passion for technology and backend problem-solving.
• Self-motivated, with the ability to work independently and collaboratively in a fast-moving environment.

If you are ready to embark on an exciting journey of growth, learning, and innovation, apply now to join our pioneering team in Bangalore.

Experience: 5 to 8 years 

Job Summary: 

• We are looking for an experienced Databricks Developer with a strong background in Spark/pyspark to design, develop, and optimize data processing applications. The ideal candidate will build scalable data engineering solutions and ensure seamless data flow across platforms. 
• Key Responsibilities: 
• Design, develop, and maintain scalable data processing applications using Python, PySpark and Spark. 
• Collaborate with data engineers, data scientists, and other stakeholders to understand business requirements and deliver high-quality solutions. 
• Ensure data integrity, performance, and reliability across all data processing pipelines. 
• Write clean, maintainable, and efficient code following best practices and coding standards. 
• Perform data analysis and implement data validation to ensure quality. 
• Monitor and troubleshoot performance issues in data workflows and pipelines. 
• Implement and manage CI/CD pipelines for automated testing, integration, and deployment. 

• Required Skills & Qualifications: 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
• Proven experience as a Databricks Developer, with strong expertise in Spark/Pyspark. 
• Proficiency in SQL and hands-on experience with relational databases. 
• Strong programming experience in Python and PySpark. 
• Familiarity with version control systems such as Git. 
• Strong analytical and problem-solving abilities. 
• Excellent communication and collaboration skills. 

Strong Software Engineer fullstack profile using NodeJS / Python and React

Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)

Mandatory (Core Skills 1): Must have strong experience in working on Typescript

Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis

Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB

Mandatory (Company) - Product Companies Only

Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Hi,

Please let me know your interest for the below role.

Job Title: Senior GenAI Full Stack Engineer –

GBS Agentic AI Use Cases 

Location: Hybrid- Bengaluru

Employment Type: Full-Time With VDart Digital

We are seeking a Senior GenAI Full Stack Engineer to design, build, and deploy advanced Agentic AI systems for enterprise Global Business Services (GBS) use cases, including metadata generation, search optimization, and workflow automation.

Key Responsibilities:

·    Architect, implement, and scale agent-based AI solutions leveraging LLMs and orchestration frameworks.

·    Build end-to-end full-stack applications integrating AI models into enterprise systems (backend, APIs, front-end interfaces).

·    Develop reusable agent frameworks for process automation, intelligent search, and document understanding.

·    Lead integration of AI solutions with ERP, CRM, ticketing, and knowledge platforms.

·    Ensure production-ready deployment using MLOps + DevOps best practices (CI/CD, monitoring, observability).

·    Collaborate with product owners and business stakeholders to map AI capabilities to real-world GBS workflows.

·    Mentor junior engineers and drive engineering best practices across AI and full-stack development.

Required Skills & Experience:

·    8+ years in software engineering / full-stack development, with at least 3+ years in AI/GenAI.

·    Strong in Python, LLMs, and Agentic AI frameworks (LangChain, LlamaIndex, Haystack, etc.).

·    Proficiency in JavaScript/TypeScript frameworks (React, Next.js, Node.js) for building AI-enabled applications.

·    Experience

in search & retrieval systems, vector databases (Pinecone, Weaviate, FAISS), and metadata pipelines.

·    Solid grasp of MLOps + DevOps: Docker, Kubernetes, Jenkins, Terraform, cloud-native deployments (AWS/GCP/Azure).

·    Familiarity with enterprise systems integration (APIs, RPA, workflow engines).

·    Strong foundation in software engineering principles (Git, testing, CI/CD pipelines).

·    Excellent communication skills and proven track record of delivering enterprise AI solutions at scale

Immediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)

OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.

Key Skills

• Google Cloud Platform (GCP)
• Terraform / Infrastructure as Code (IaC)
• Kubernetes & Helm Charts
• CI/CD – Jenkins, GitLab CI, GitHub Actions
• Linux Administration
• Scripting – Python / Go / Java
• 
  

Role Responsibilities

• Build and manage scalable cloud infrastructure on GCP
• Automate deployments and infrastructure provisioning
• Ensure system reliability, monitoring, and performance optimization
• Collaborate with development and operations teams for seamless delivery

📍 Locations: Mumbai & Bengaluru (On-site)

⚡ Immediate Joiners Preferred

💼 Experience: 4–9 Years

Strong Pharma Analytics Profile

Mandatory (Experience) : Must have 4+ years of experience as an analytics consultant with atleast 2 years in pharma domain

Mandatory (Skill 1) : Must have hands-on experience working with patient-level datasets (claims, EHR, lab, pharmacy data)

Mandatory (Skill 2) : Must have worked on patient journey analysis, treatment patterns, disease progression and advanced analytics

Mandatory (Skill 3) : Must have experience with SQL, Python and Predictive modelling (regression, classification, clustering)

Mandatory (Skill 4) : Must have experience combining multiple healthcare datasets and building longitudinal patient views

Mandatory (Skill 5) : Ability to translate complex analysis into actionable business/clinical insights

Mandatory (Skill 6): Must have experience with time-series analysis and/or survival analysis - specifically to study treatment duration, patient drop-off, or retention trends

Mandatory (Skill 7): Must have experience building risk stratification models using ML techniques to prioritize patients based on clinical or behavioural risk factors

Mandatory (Company) : PharmaTech/life sciences companies

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

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.
• 
  

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.

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

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.

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

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.

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

What You’ll Do:

• Build and ship responsive, high-performance web applications using React.
• Translate UI/UX designs into clean, maintainable code.
• Integrate frontend with backend services via REST/GraphQL APIs.
• Optimize applications for speed, scalability, and cross-browser compatibility.
• Write reusable, modular components and maintain design consistency.
• Collaborate with product managers, designers, and engineers to deliver features end-to-end.
• Identify performance bottlenecks and improve frontend architecture.
• Participate in code reviews and contribute to best practices.

What We’re Looking For:

• 4–6 years of experience in frontend development.
• Strong hands-on experience with React.js.
• Solid understanding of JavaScript (ES6+), HTML5, and CSS3.
• Familiarity with state management (Redux / Zustand / Context API).
• Experience working with REST APIs and asynchronous programming.
• Understanding of responsive design and cross-browser compatibility.
• Experience with build tools (Webpack, Vite, etc.).
• Familiarity with Git-based workflows.
• Good problem-solving and communication skills.

Good to Have:

• Experience with testing frameworks (Jest, React Testing Library).
• Exposure to performance optimization techniques.
• Basic understanding of backend technologies (Node.js / Python).

What You’ll Work On:

• Building intuitive and scalable user interfaces for our core product.
• Improving performance and user experience across the platform.
• Contributing to frontend architecture and design systems.
• Solving real-world problems at scale.

Why Join Us

• Work on impactful products used by real customers.
• Opportunity to own features end-to-end.
• Collaborative and fast-paced environment.

About the company

Metron Security provides automation and integration services to leading Cyber Security companies. Our engineering team works on leading security platforms including - Splunk, IBM’s QRadar, ServiceNow, Crowdstrike, Cybereason, and other SIEM and SOAR platforms. 

Software Engineer is a challenging role within Cyber Security Engineering integration development. The role involves developing a product/service that achieves high-performance data exchange between two or more Cyber Security platforms. A Software Engineer is at the core of the evolution process and is responsible for the End-to-End delivery of the project, right from getting the requirements from customers to deploying the project for them on-prem or on the cloud, depending on the nature of the project. We follow the best practices of engineering and keep evolving. We are agile. 

Each integration needs reskilling yourself with the required technology for that project. If you are passionate about programming and believe in the best practices of software engineering, the following are the skills we are looking for: 

● Developer-centric culture - No bureaucracy or red tape. 

● Chance to work on 200+ security platforms. 

● Opportunity to engage with end-users (customers) and just a cog in the wheel.

About the role

We are looking for passionate developers with 4-7 years of experience in software development to join the Metron Security team as Software Engineers. 

Mandatory Skills 

• 4+ years of experience in software engineering, with a proven track record of leading engineering teams and mentoring junior developers. 
• Expertise in at least one or two Object-Oriented Programming language (Python, typescript, Java,Node.js,Angular, react.js C#, C++) . 
• Good knowledge of Data Structure and its correct usage. 
• Oversee code reviews, ensuring adherence to best practices and maintaining high code quality standards. 
• Imbibe and maintain a strong customer delight attitude while designing and building products/services.

Other Requirements 

• Open to learn any new software development skill if needed for the project.
• Alignment and utilisation of the core enterprise technology stacks and integration capabilities throughout the transition states. 
• Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives. 
• Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them. 
• Good knowledge of the implications of Cyber Security on production.
• Experience in architecting & estimating deep technical custom solutions & integrations. 
• Manage the customer to ensure we have a continuous flow of work from them so that the team has enough work for at least a month. 
• Mentor and coach team members, providing technical guidance and fostering professional development. 

Added advantage: 

• Experience in the Cyber Security domain.
• Experience in developing software using web technologies. 
• Experience in handling a project from start to end. 
• Hands-on experience in an Agile Development project and in writing and estimating User Stories. 
• Contribution to open source - Please share your link in the application/resume if any.

Location: Bengaluru, Kadugodi

Experience: 4-6 years

About company:

Client is a Germany-headquarted IT consulting and service organization. With over 25 years of expertise and global presence, we are committed to customer excellence and focused in addressing niche areas of product engineering, process consulting and software development in automotive, railways, production automation, data management and business IT domains.

Key Responsibilities:

• Develop or enhance features to meet industry standards, safety regulations, and project specifications.
• Collaborate with Business stakeholders to understand Business Requirements
• Work closely with hardware engineers, QA, and Scrum Master to integrate software solutions into embedded systems.
• Identify Problems and resolve technical issues within embedded systems, making critical decisions on system architecture and software design.
• Strive towards Improving Processes, system performance, optimize code and innovate in software design.
• Work closely with vendors to design and implement edge AI solutions

Requirements:

• Must have done B.Tech/B.E preferably in ECE stream
• Must have Proficiency in Python/C/C++, Go Lang, Scripting in Bash
• Must have Strong Fundamentals on Embedded Development Life cycle
• Must have Strong knowledge on Embedded Linux, Unix/Linux commands, RTOS and SQL
• Sound knowledge of CAN/J1939 protocol, Sensor Data Processing and Telemetry
• Experience with tools like JIRA and Agile/Scrum methodology
• Excellent communication skills and ability to collaborate with cross-functional teams.
• Ability to work on multiple projects and prioritize work effectively
• Ability to work independently and as a team member
• Strong analytical and problem-solving skills

Nice to Have:

• Understanding of ADAS, Driver Monitoring Systems
• Experience with embedded video coupled with edge AI

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

As an Analyst at Tap Invest, you’ll turn data into decisions. You’ll work with teams across

Product, Ops, Marketing, and Sales to uncover insights, solve real business problems, and

drive strategy.

This role is for someone who is comfortable working with data independently and can

support business teams with reliable analysis and reporting.

Key Responsibilities

● Gather, organize, and clean data from various sources including databases,

spreadsheets, and external sources to ensure accuracy and completeness.

● Write SQL queries to pull, validate, and clean data from production databases.

● Build and maintain dashboards, and generate KPI reports. Track performance

against targets and identify areas for optimization.

● Analyze user funnels and investment patterns to surface actionable insights.

● Prepare and present clear, concise reports and visualizations to communicate

findings and recommendations to stakeholders across teams.

● Document data definitions, metrics, and assumptions clearly for consistency and

reuse.

What We’re Looking For

● 1 to 2 years of experience in Data Analytics, Business Analytics, or a similar role.

● Comfortable writing in SQL and validating queries.

● Solid with Excel / Google Sheets (pivot tables, lookups, charts).

● Genuine curiosity about how businesses use data to make decisions.

● Experience with scripts for data automations.

● Prior projects involving production datasets.

Nice to Have

● Familiarity with pandas or any data manipulation library for advanced automations.

● Interest in capital markets, bonds, fixed income or FinTech.

● Exposure to AI tools

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

About the Role

We are looking for a hands-on AI Agentic Lead to drive Agentic AI implementations on the Lyzr platform and lead in-house Agentic AI infusion into our products. This role is ideal for someone who combines strong technical depth with product thinking and has experience taking AI solutions from concept to deployment.

What We Are Looking For

• 6+ years to 15 years of overall experience
• At least 2 years of Agentic AI experience with product deployment exposure
• Strong experience in designing, building, and deploying AI agents/workflows for real business use cases
• Ability to lead architecture, development, deployment, and optimization of agentic solutions
• Strong problem-solving, ownership, and stakeholder-handling skills
• Interested to work in BENGALURU - WFO only.

Key Responsibilities

• Lead end-to-end delivery of Agentic AI solutions on the Lyzr platform
• Drive Agentic AI adoption across in-house products
• Design multi-agent workflows, orchestration patterns, tool usage, memory, guardrails, and evaluation approaches
• Work closely with product, business, and engineering teams to identify high-impact AI use cases
• Build scalable, production-ready solutions with focus on reliability, performance, and business value
• Mentor the team and shape best practices for Agentic AI delivery

Preferred Skills

• Hands-on experience with LLMs, AI agents, RAG, orchestration frameworks, prompt design, tool calling, and evaluation
• Exposure to production deployments, monitoring, debugging, and optimization of AI systems
• Experience integrating AI into enterprise products/platforms
• ML background is a plus, but not mandatory

Why Join Us

• Opportunity to work on live Agentic AI implementations
• Play a key role in building next-generation AI capabilities for both client solutions and internal products
• High ownership, strong growth opportunity, and direct impact on product direction

JD - 

We are looking for a strong Data Engineer having hands on experience in building pipelines using Snowflake and DBT.

Key Responsibilities:

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
• Collaborate with data analysts, QA and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning.
• Use Python (preferred) for automation, scripting, and additional data processing as needed.

Required Skills:

• 6+ years of experience in building data engineering pipelines.
• Strong hands-on expertise with DBT and advanced SQL.
• Experience working with modern columnar/MPP data warehouses, preferably Snowflake.
• Knowledge of Python for data manipulation and workflow automation (preferred).
• Good understanding of data modeling concepts, ETL/ELT processes, and best practice.

Backend Engineer at Reo.Dev : Job Description

[Disclaimer: This is a longish read. However, we felt you might be interested to read in detail, about what you could be doing for the next 5ish years 😊]

Job Function: Backend Engineer

Experience: 2 – 4 years [number of years of experience is not a filter]

Salary and Incentives: Open for discussion

Location: Bangalore, India [Hybrid work - Remote + Office]

👋 Meet Reo.Dev

• Reo.Dev was founded in January 2023. So we are quite young 😊
• Reo was started by Achintya, Gaurav and Piyush – All of them have successfully built companies before [more on the Founding team below]
• We are building a Revenue Operating System for the Developer Focussed Companies (Think of us like a 6sense.com for Dev Focussed Companies).
• What we are building is quite innovative. Currently, no other company offers the capabilities Reo.Dev is building
• We recently closed our Seed round with top early stage investors (not disclosed yet)

About TIFIN

TIFIN is an AI-first fintech platform transforming wealth management through data science, machine learning, and intelligent automation. With strong global backing and a rapidly growing India hub, TIFIN is building scalable, next-gen financial products used by global institutions.

Role Overview

We are looking for a Senior Software Engineer with strong backend and AI integration experience to build scalable, high-performance systems. This role involves working closely with product, data science, and AI teams to develop intelligent platforms leveraging modern technologies and LLMs.

Key Responsibilities

• Design, develop, and scale backend systems and APIs using Golang and Python
• Build and integrate AI-driven features, including prompt-based workflows (Claude or similar LLMs)
• Work with MongoDB and Elasticsearch for high-performance data handling and search capabilities
• Optimize system performance, scalability, and reliability
• Collaborate with cross-functional teams (Product, AI/ML, Data Engineering)
• Contribute to architecture decisions and best engineering practices
• Write clean, maintainable, and production-grade code

Required Skills & Experience

• 3–5 years of experience in backend engineering
• Strong proficiency in Golang and/or Python
• Hands-on experience with MongoDB and Elasticsearch
• Experience working with LLMs / AI tools (Claude, OpenAI, etc.) and prompt engineering
• Good understanding of REST APIs, microservices architecture, and distributed systems
• Strong problem-solving and debugging skills

Good to Have

• Experience in fintech / SaaS platforms
• Exposure to AI/ML pipelines or data platforms
• Knowledge of cloud platforms (AWS/GCP/Azure)
• Familiarity with CI/CD and DevOps practices

Role & Responsibilities

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

The Ideal Candidate Will Be Able To-

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

Ideal Candidate

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Mandatory (Core Skills 1): Must have strong experience in working on Typescript
• Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
• Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
• Mandatory (Company) - Product Companies Only
• Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies
• Mandatory (Note) : This role is a hybrid role (2 days WFO)
• Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Preferred (Mentoring): Experience in mentoring, coaching the team.

Job Description:

We are looking for a skilled Database Developer with strong hands-on experience in SQL + Informatica and programming knowledge in Java or Python. The ideal candidate will design, develop, and maintain robust ETL pipelines and database solutions while collaborating with cross-functional teams to support business data needs and analytics initiatives. 

Key Responsibilities: 

• Design, develop, and optimize SQL queries, stored procedures, triggers, and views for high performance and scalability. 
• Develop and maintain ETL workflows using Informatica PowerCenter (or Informatica Cloud). 
• Integrate and automate data flows between systems using Java or Python for custom scripts and applications. 
• Perform data analysis, validation, and troubleshooting to ensure data accuracy and consistency across systems. 
• Work closely with business analysts, data engineers, and application teams to understand data requirements and translate them into efficient database solutions. 
• Implement performance tuning, query optimization, and indexing strategies for large datasets. 
• Maintain data security, compliance, and documentation of ETL and database processes. 

Required Skills & Experience: 

• Bachelor’s degree in Computer Science, Information Technology, or related field. 
• 5–8 years of hands-on experience as a SQL Developer or ETL Developer. 
• Strong proficiency in SQL (Oracle, SQL Server, or PostgreSQL). 
• Hands-on experience with Informatica PowerCenter / Informatica Cloud. 
• Programming experience in Java or Python (for automation, data integration, or API handling). 
• Good understanding of data warehousing concepts, ETL best practices, and performance tuning. 
• Experience working with version control systems (e.g., Git) and Agile/Scrum methodologies. 

Good to Have: 

• Exposure to cloud data platforms (AWS, Azure, or GCP). 
• Familiarity with Unix/Linux scripting. 
• Experience in data modeling and data governance frameworks.

Job Title: Test Automation Engineer Location: Bangalore Experience: 6+ years Immediate Joiners are Preferred. We're building systems where correctness, performance, and reliability are non-negotiable. We need an engineer who treats testing as a first-class discipline - not a checklist activity. About the role: ● This is not a test-case writing role. You'll own the entire approach to testing — architecture, tooling, and outcomes. ● You'll work across backend-heavy, distributed systems where failures are nuanced and the stakes are real. ● You'll have direct access to leadership, no layers, and genuine influence over engineering quality standards. What we're looking for: ● Ownership mindset.You own outcomes, not just test cases. You identify gaps without being asked. ● Engineering depth.You design test systems, not just scripts. You think in architectures. ● Systems intuition.You understand how distributed systems fail at scale — not just on the happy path. ● Observability fluency.You're comfortable with logs, metrics, and tracing to debug failures in production-like environments. ● Self-direction.You figure things out and move. You don't wait for instructions. ● AI-augmented workflow.You use AI tools intelligently to accelerate your work — not as a substitute for thinking What you'll work on: ● End-to-end test automation for backend-heavy, distributed systems ● Building test frameworks for APIs, microservices, and event-driven architectures ● Load testing, failure scenario simulation, and edge-case validation ● Deep CI/CD pipeline integration — testing as a continuous engineering activity ● Kernel, firmware, and hardware-level validation(advantageous, not required) Tech Stack & Expectations: ● Languages: Python / Go (or strong scripting expertise) ● Frameworks: PyTest, custom frameworks, or similar ● Infrastructure: Docker, Kubernetes ● Systems: Distributed systems, APIs, async/event-driven architectures ● Databases: PostgreSQL, Redis ● Messaging: Kafka, NATS, RabbitMQ ● Observability: Logging, metrics, tracing ● Bonus: Experience with kernel-level or firmware-level testing What you will get: ● Full ownership over how testing is designed and implemented — your decisions stick ● Hard, interesting problems on systems where quality genuinely matters ● Direct access to leadership with no bureaucratic layers ● Early-stage influence — your work defines engineering quality standards here ● Compensation calibrated to your level of expertise 

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Core Responsibilities:

• Design, develop, and maintain backend services using Python or Golang.
• Write clean, efficient, and well-documented code following best practices.
• Build and consume RESTful APIs and microservices.
• Collaborate with QA, DevOps, and product teams for smooth feature delivery.
• Participate in peer code reviews and technical discussions.
• Debug and fix issues, ensuring system stability and performance.
• Continuously learn and apply new technologies and tools in backend development.

Experience and Expertise:

• 0–2 years of software development experience (internships or projects acceptable).
• Proficiency in at least one backend programming language (Python or Golang).
• Strong understanding of object-oriented programming and software fundamentals.
• Knowledge of data structures, algorithms, and database concepts.
• Familiarity with Linux-based development environments.
• Exposure to Git and version control workflows.

Skills:

• Strong analytical and problem-solving ability.
• Willingness to learn, adapt, and take ownership.
• Effective communication and teamwork skills.
• Curiosity for emerging technologies, including AI-driven development, backend technologies, distributed systems, and modern engineering practices.

Application Deployment Engineers / Deployment Engineer – Video Analytics / CCTV Solutions / Application Implementation Engineer

Company Name

Paralaxiom Technologies Private Limited

Company Website

https://www.vast.vision/

https://www.linkedin.com/company/paralaxiom

Company details

Paralaxiom Technologies is involved in deep learning algorithms to develop video analytics-based security and compliance applications. They offer OCR products and image classification tools enhanced by machine learning algorithms and robust statistical analysis. We are among the earliest practitioners of AI software and we have world-class credentials in these technologies. They offer products like Paralaxiom VAST(Video Analytics and Surveillance Toolkit) and Paralaxiom AMPLE(Paralaxiom natural language processing platform).

In today's world, all premises be it manufacturing, hospitals, offices, hotels, cities, airports, shops, warehouses etc. are covered with CCTV Cameras. Continuous monitoring through dedicated command center or e-surveillance is proving to be ineffective as well as costly to manage.

We have pioneered the use of AI / ML technologies to headlessly live monitor CCTV cameras to generate very accurate alerts, alarms & insights and deliver them directly to the right stakeholders for quick, proactive action.

We have worked closely with hundreds of customers from diverse industries, AI Hardware Partners, CCTV OEMs, VMSs, System Integrators & Consultants to bring to the world VAST, an enterprise-ready Video Surveillance as a Service (VSaaS) solution.

Location: Pune / Bangalore / Chennai

Mode of Working: Work From Office 

Days of Working: 5 Days a week

Responsibilities

Position Overview:

Paralaxiom is a video analytics and machine vision company with its VAST product line a path-breaking product for safety, security, and operations for CCTV operations.

We are looking for application engineers for this product line.

Experience: 1 -2 years

Key Responsibilities:

1) Gathering information from customers on their needs and understanding how VAST software matches their desires

2) Design the solution and installation of the software

3 ) Making sure the VAST software continues to work properly after maintenance and testing

4) Take notes of all aspects of the application for future upgrades and maintenance

5) Troubleshooting the software

6) Training the end users

7) Excellent Knowledge of Python and shell scripting

8) Working knowledge of IP networking and troubleshooting

We need someone with 1-2 years of experience with the following skillset:

Great communication skills

Debugging and analytical skills

Knowledge of hardware and software integration will be a plus

Knowledge of Camera NVR will be a plus

Hands-on system and functional testing will be a plus

Interview process: 3 Video + Final Discussion - F2F

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most systems work at a low scale.

Very few survive real production load, complex workflows, and enterprise edge cases.

We are building a platform that must:

• Scale from 500K → 20M+ interactions/month
• Handle complex insurance workflows reliably
• Become easier to deploy as it grows, not harder

This role exists to build the backend foundation that makes this possible.

What you’ll do

You will not just write services.

You will design and own core platform systems.

1. Scale the platform without breaking architecture

• Scale from 50K → 2M+ interactions/month
• Ensure:
• High availability
• Low latency
• Fault tolerance
• Avoid large rewrites — build systems that evolve cleanly

2. Build the workflow automation (WA) engine

• Design a flexible system with:
• States
• Stages
• Cohorts
• Dynamic workflows
• Ensure workflows:
• Handle edge cases reliably
• Can be configured easily
• Move from:
• Hardcoded flows → configurable execution engine

3. Build the insurance-specific data layer

• Design data models for:
• Policy states
• Claim workflows
• Consent tracking
• Ensure the system works across:
• Multiple insurers
• Multiple use cases
• Build a platform-first data layer, not use-case-specific hacks

4. Make deployment and setup simple

• Ensure workflows and data models are:
• Easy to configure
• Easy to launch
• Reduce friction for:
• Product teams
• Deployment teams

5. Create a compounding data advantage

• Build a data layer that:
• Improves with every deployment
• Captures structured signals
• Ensure data becomes a long-term edge, not just storage

6. Own production reliability

• Participate in on-call rotation across 3 engineers
• Ensure:
• Incidents are handled quickly
• Root causes are fixed permanently
• Build systems where reliability is shared, not individual

What success looks like

• Platform scales to 2M+ interactions/month smoothly
• Workflow engine supports complex, dynamic use cases
• Data layer enables fast deployment across accounts
• Edge cases are handled without constant firefighting
• System becomes easier to use as it grows
• Production issues are rare and predictable

Who you are

• You have 2-5 years of backend engineering experience
• You have built:
• Scalable systems
• Distributed services
• You think in:
• Systems
• Data models
• Trade-offs
• You are comfortable owning:
• Architecture
• Production systems

What will make you stand out

• Experience building:
• Workflow engines
• State machines
• Data-heavy platforms
• Strong understanding of:
• System design
• Distributed systems
• Failure handling
• Experience working in:
• High-scale production environments

Why join

• You will build the core backend of an AI platform
• Your work directly impacts:
• Scale
• Reliability
• Product capability
• You will design systems that move from:
• Use-case specific → platform-level infrastructure

What this role is not

• Not just API development
• Not limited to feature-level work
• Not disconnected from production realities

What this role is

• A system architect
• A builder of scalable platforms
• A driver of long-term technical advantage

One question to self-evaluate

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

Role Overview

As a Senior QA Engineer (Automation), you will drive product quality across all stages of development and deployment. You’ll take complete ownership of defining QA strategy, implementing robust automation frameworks, and ensuring every release meets our high standards of reliability, performance, and user delight.

This role is ideal for someone who thrives in a fast-paced startup environment, loves solving problems, and is passionate about building scalable and flawless user experiences.

Key Responsibilities

Define & Execute QA Strategy:

Develop and implement test strategies covering functional, regression, integration, and exploratory testing.

Automation Leadership:

Build and maintain scalable automation frameworks integrated into CI/CD pipelines to improve speed, reliability, and test coverage.

Collaborate Early:

Partner closely with Product and Engineering teams to ensure testable requirements and early QA involvement in the development cycle.

Release Readiness:

Own end-to-end release validation, including regression testing, defect triage, and final sign-off on product quality.

Quality Metrics & Reporting:

Define, track, and communicate key QA metrics (defect leakage, build health, test coverage) to drive data-backed improvements.

Performance & Security Testing:

Conduct basic performance and security validation to ensure system robustness.

Mentorship & Best Practices:

Guide junior QA engineers, promoting test design excellence, automation best practices, and continuous improvement.

Process Optimization:

Continuously enhance QA processes through retrospectives, automation expansion, and shift-left testing principles.

Documentation:

Maintain comprehensive documentation of test cases, strategies, bug reports, and quality incident postmortems.

What We’re Looking For

• 5 - 10 years of QA experience in product-based startups, ideally in B2C environments.
• Proven expertise in test automation (e.g., Selenium, Appium, Cypress, Playwright, etc.).
• Strong understanding of CI/CD pipelines, API testing, and test design principles.
• Hands-on experience with manual and exploratory testing.
• Ability to handle multiple projects independently and drive them to completion.
• High sense of ownership, accountability, and attention to detail.
• Excellent communication and collaboration skills.
• Willingness to work from the office (HSR Layout, Bangalore).

Why Join Us

• Opportunity to impact millions of users in India’s devotional and spiritual space.
• Work with a talented, passionate, and mission-driven team.
• High ownership role with end-to-end accountability.
• Fast-paced, collaborative, and growth-oriented culture.

Build seamless, trusted experiences that bring faith and technology together.

Job Summary:

We are looking for a highly motivated and skilled Software Engineer to join our team.

This role requires a strong understanding of the software development lifecycle, proficiency in coding, and excellent communication skills.

The ideal candidate will be responsible for production monitoring, resolving minor technical issues, collecting client information, providing effective client interactions, and supporting our development team in resolving challenges

Key Responsibilities:

Client Interaction: Serve as the primary point of contact for client queries, provide excellent communication, and ensure timely issue resolution.

Issue Resolution: Troubleshoot and resolve minor issues related to software applications in a timely manner.

Information Collection: Gather detailed technical information from clients, understand the problem context, and relay the information to the development leads for further action.

Collaboration: Work closely with development leads and cross-functional teams to provide timely support and resolution for customer issues.

Documentation: Document client issues, actions taken, and resolutions for future reference and continuous improvement.

Software Development Lifecycle: Be involved in maintaining, supporting, and optimizing software through its lifecycle, including bug fixes and enhancements.

Automating Redundant Support Tasks: (good to have) Should be able to automate the redundant repetitive tasks Required Skills and Qualifications:

Mandatory Skills:

Expertise in at least one Object Oriented Programming language (Python, Java, C#, C++, Reactjs, Nodejs).

Good knowledge on Data Structure and their correct usage.

Open to learn any new software development skill if needed for the project.

Alignment and utilization of the core enterprise technology stacks and integration capabilities throughout the transition states.

Participate in planning, definition, and high-level design of the solution and exploration of solution alternatives.

Define, explore, and support the implementation of enablers to evolve solution intent, working directly with Agile teams to implement them.

Good knowledge on the implications.

Experience architecting & estimating deep technical custom solutions & integrations.

Added advantage:

You have developed software using web technologies.

You have handled a project from start to end.

You have worked in an Agile Development project and have experience of writing and estimating User Stories

Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain technical issues to non-technical clients.

Client-Facing Experience: Strong ability to interact with clients, gather necessary information, and ensure a high level of customer satisfaction.

Problem-Solving: Quick-thinking and proactive in resolving minor issues, with a focus on providing excellent user experience.

Team Collaboration: Ability to collaborate with development leads, engineering teams, and other stakeholders to escalate complex issues or gather additional technical support when required.

Preferred Skills:

Familiarity with Cloud Platforms and Cyber Security tools: Knowledge of cloud computing platforms and services (AWS, Azure, Google Cloud) and Cortex XSOAR, SIEM, SOAR, XDR tools is a plus.

Automation and Scripting: Experience with automating processes or writing scripts to support issue resolution is an advantage.

Role & Responsibilities

We are looking for a hands-on Camunda Developer with strong experience in workflow orchestration and backend development. The ideal candidate should be able to design, build, and optimize end-to-end business processes using Camunda (preferably Camunda 8) and work closely with engineering and business teams to implement scalable and resilient workflows.

Key Responsibilities:

• Translate business requirements into BPMN workflows using Camunda (preferably Camunda 8)
• Design and implement end-to-end process orchestration across systems
• Build and manage service integrations (REST APIs, event-driven systems)
• Develop and maintain Zeebe workers / microservices (Python)
• Collaborate with stakeholders to refine workflows and handle edge cases
• Implement error handling, retries, and compensation mechanisms
• Analyse and improve workflows for scalability, reliability, and performance
• Ensure data consistency and idempotent process execution
• Work with cross-functional teams including data and analytics for process observability

Ideal Candidate

• Strong Senior Camunda Developer / Workflow Orchestration Engineer Profiles
• Mandatory (Experience 1) – Must have 4+years of hands-on experience in backend development and workflow systems, demonstrable through production-grade work on business process automation or backend service development.
• Mandatory (Experience 2) – Must have strong hands-on experience with Camunda and BPMN 2.0, including designing, building, and deploying end-to-end business process workflows in production.
• Mandatory (Experience 3) – Must have hands-on experience with Zeebe workers and the Camunda 8 stack, built and maintained as part of real orchestration systems.
• Mandatory (Experience 4) – Must have strong production-level coding skills in Python, used for building and maintaining Zeebe workers and microservices.
• Mandatory (Experience 5) – Must have experience designing and working within microservices architecture and distributed systems, with clear understanding of service decomposition, inter-service communication, and distributed system failure modes.
• Mandatory (Experience 6) – Must have hands-on experience building and consuming REST APIs and working with event-driven systems (message brokers, pub/sub, event streams).
• Mandatory (Skills) – Must have strong debugging and problem-solving skills in production workflow environments, with specific examples of resolving complex issues such as stuck processes, race conditions, or data inconsistency bugs.
• Preferred (Experience 1) – Exposure to cloud platforms (AWS / GCP / Azure) and experience with data platforms (e.g., Snowflake).
• Preferred (Experience 2) – Understanding of finance-related workflows (billing, reconciliation, etc.).

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

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

Key Responsibilities

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

Required Skills

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

Nice-to-Have Skills

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