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

We are seeking a Full-stack Developer to help build the next generation of StepOut's web and mobile platforms. In this role, you will design, develop, and optimize applications that deliver performance insights to athletes and coaches worldwide. You'll work in a fast-paced, collaborative environment where ownership, agility, and creativity are keys.

Responsibilities:

• Build and maintain scalable frontend applications using React (JS and native preferred).
• Develop backend services and APIs using Python (Django/Flask preferred).
• Design and manage databases (MongoDB + MySQL).
• Own features end-to-end from planning to deployment.
• Write clean, modular, and production-grade code.
• Debug issues deeply and implement long-term fixes (not patches).
• Collaborate with cross-functional teams (design, product, analytics).
• Contribute to system design, scalability, and performance improvements as a team player.

Requirements:

• Strong experience with React (React JS + React Native preferred).
• Strong experience with Python (Django/Flask preferred).
• Working knowledge of MongoDB and MySQL.
• Ability to build and consume REST APIs.
• Strong problem-solving and debugging ability.
• Genuine interest in football/sports (critical for culture fit).

Bonus Skills (Good to Have):

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Docker and containerization.
• Prior exposure to sports-tech, analytics, or performance platforms.

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

Key Responsibilities

• Design, develop, test, and maintain PHP-based web applications and APIs.
• Build and enhance features for our SaaS platform with a focus on performance, scalability, and security.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Write clean, maintainable, and well-documented code following best practices.
• Optimize application performance and troubleshoot production issues.
• Integrate third-party services, APIs, and payment gateways as required.
• Participate in code reviews and contribute to improving development processes.
• Work with databases to design efficient schemas, write optimized queries, and ensure data integrity.
• Assist in deployment, monitoring, and ongoing maintenance of applications.

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

• Bachelor's in CS/Engineering or related field (Master's preferred)
• 8+ years of software development, 3+ years in an architect/lead role
• Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
• Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
• Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
• Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
• AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
• DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
• Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
• AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

• AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
• LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
• RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
• Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
• MCP (Model Context Protocol) — awareness of what it is and where it fits
• Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
• AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
• Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

• Design scalable, secure architectures for client engagements
• Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
• Drive production readiness: incident management, observability, release processes
• Review and approve high-impact design decisions across projects

Team & Stakeholders

• Mentor 15–20 engineers across backend, mobile, and cloud teams
• Conduct architecture reviews, code reviews, and technical retrospectives
• Engage directly with client CTOs/architects on solution design and technical escalations
• Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

• Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
• Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
• Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

• Contributions to open-source projects or AI tooling
• Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
• Published technical content - blogs, talks, GitHub
• Google/AWS/Azure certifications (bonus, not substitute)

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Chief Technology & Product Officer (CTPO)

Company: Miror Therapeutics Private Limited (miror.in)

Location: Bangalore

Type: Full-time

About Miror

Miror is building India's largest 360° care network for women - supporting them through menstruation, perimenopause, menopause, and beyond. We bring together a thriving community of 75,000+ women, 100+ doctors across gynaecology, oncology, urology and sexual health, nutrition and mental health, India's first dedicated HRT Centre of Excellence, a personalized care app, expertly formulated supplements, and a women's wellness rewards program.

We're bootstrapped and revenue-generating, with real users and real impact. We're now looking for a technology and product leader to deepen our digital platform and scale the experience to millions more women.

The role

As Chief Technology & Product Officer, you'll own both the engineering and product functions at Miror. This is a combined role by design: we need one leader who holds the technical architecture and the product vision together, keeps them tightly aligned, and ships. You'll set technical direction, own the product roadmap across our app and digital platform, and build the team that delivers - all while honoring the trust women place in us with sensitive, deeply personal health journeys.

Because we're bootstrapped, this is a role for someone who values capital efficiency, durable margins, and building things that last.

What you'll own

Product

• Define and own the product vision and roadmap in partnership with the CEO
• Translate deep understanding of women's health - menstruation through menopause - into product that earns daily trust
• Own the full product lifecycle across the app, community, teleconsultation/appointments, HRT programs, commerce (shop and supplements), and rewards
• Establish how the team prioritizes, measures, and learns from users

Technology

• Own the technical architecture of the Miror app and digital platform
• Lead engineering execution: quality, velocity, reliability, and security
• Make pragmatic build-vs-buy and platform decisions that keep us lean and fast
• Own data architecture with privacy and protection of sensitive health data as a first principle

Leadership

• Build, lead, and mentor the combined product and engineering team
• Set the engineering and product culture for the company
• Be a credible internal and external voice for the platform

Must-haves

• Demonstrated experience in femtech or digital health - you understand women's health, the sensitivity of the data involved, and what it takes to earn and keep user trust in this space
• Track record of owning both product and engineering at a senior level (VP+ or prior CTO/CPO/CTPO)
• Strong software and app development background; comfortable being hands-on architecturally
• Experience handling sensitive health data and the regulatory/privacy landscape around it (India's DPDP Act, plus relevant global standards like HIPAA/GDPR; awareness of telemedicine and digital-health regulatory considerations)
• Ability to lead a lean team and make capital-efficient decisions in a bootstrapped environment
• Proven ability to hire, grow, and retain product and engineering talent

Nice-to-haves

• Experience scaling a consumer health or community-driven product post-PMF without external funding
• Experience with teleconsultation, e-commerce/D2C, or marketplace-style products
• Comfort with our stack: [e.g. Python backend, Flutter app] - or strong reasons to evolve it

Why join

• Real revenue, real users, and a community of 75,000+ women who already trust us
• A genuine seat at the table: you'll shape the company, not just execute someone else's plan
• A mission that matters: transforming how India cares for women's midlife and lifelong health

Connect with me on my LinkedIn

• 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.

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

How do Technogisers function?

Value: Exploring technologies and implementing them on the projects provided they make business sense and deliver value.

Engagement: Be it offshore or onshore, we engage ourselves daily with the clients. This assists in building a trustworthy relationship at the same time, collaborating to come up with strategic solutions to business problems.

Solution: We are involved in providing hands-on contributions towards Backend & Front-end design and development at the same time, flourishing our DevOps culture.

Thought Leadership: Attend or present technical meet-ups/workshops/conferences to share knowledge and help build Technogise brand.

Note: All our roles are customer-facing roles.

This is a full-time 5 days work from office role as a Technology Consultant (Lead) located in Bangalore (Indiranagar).

Core Skills:

• We are looking for Lead engineer of industry experience exclusively in Python, React, AWS, Kubernetes, Docker, AI-first delivery mindset.
• You are also an advocate of good engineering practices
• Influence technical decision-making and high-level design decisions - choice of frameworks and tech approach
• Demonstrate the ability to understand different approaches for application, and integration and influence decisions by making appropriate trade-offsWays of working:
• You communicate effectively with other roles in the project at the team and client levels
• You drive discussions effectively at the team and client levels. Encourage others to participate

Going beyond:

• Establish credibility within the team as a result of technical and leadership skills
• Mentoring fellow team members within the project team and providing technical guidance to others beyond project boundaries
• Actively participate in organisational initiatives

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)

We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role

If you're interested in this position, revert to this mail along with your updated CV.

Experience : 5 to 12 years

Location : Hyderabad, Bangalore

Required Skill set :  Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas

Roles & Responsibilities :

We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.

1.  Proficient in Python programming and machine learning frameworks
2.  Strong experience in developing and deploying machine learning models
3.  Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
4.  Basic understanding of computer vision techniques for image recognition or object detection
5.  Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
6.  Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
7. · Proficient in FastAPI for building and deploying RESTful APIs
8. Experience with CI/CD pipelines for deploying FastAPI applications
9.  Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
10. Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
11. Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
12.  Experience with Autogen and MCP for automation and model management
13.  Knowledge of Docker and Kubernetes for containerization and orchestration
14. Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
15. Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
16.  Strong analytical and problem-solving skills
17.  Strong communication skills with the ability to collaborate effectively in a team environment
18. Proactive attitude with the ability to independently lead small teams

Role Overview

We are looking for a versatile Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front-end.

This role is unique as it requires a strong command of both Python (for our modern microservices and data processing) and PHP (for our core application logic).

Key Responsibilities

• Feature Development: Build and maintain scalable backend services using Python (Django/FastAPI) and PHP (Laravel/Symfony).
• Integration: Develop and consume RESTful APIs to connect various internal and external services.
• Database Management: Optimize database queries and schema designs (PostgreSQL/MySQL).
• Code Quality: Write clean, maintainable, and efficient code while performing regular code reviews.

Required Skills & Qualifications

• Experience: 3–7 years of professional backend development experience.
• Python Stack: Deep understanding of Python and frameworks like Django, Flask, or FastAPI.
• PHP Stack: Strong proficiency in PHP and modern frameworks like Laravel.
• Databases: Experience with relational databases (MySQL, PostgreSQL) and NoSQL (Redis, MongoDB).

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

• 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) 

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.

MeltPlan | Planning Engine for the Built Environment

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really Is

Code writing is a commodity. We’re not hiring someone to close tickets.

We’re hiring someone who:

• Is biased toward building
• Thinks in systems
• Designs for scale and resilience
• Reviews architecture, not just PRs
• Can move fast without creating long-term mess

You’ll ship products daily. You’ll also help shape the system so it doesn’t collapse under growth.

What You’ll Do

• Build end-to-end features (DB → API → UI)
• Design scalable data models and backend architecture
• Ship clean, production-grade frontend experiences
• Review and improve system design decisions
• Work directly with founders on product direction
• Help define engineering standards as we scale

What We’re Looking For

• Strong backend fundamentals (APIs, databases, performance, system design)
• Strong frontend skills (React/Next.js or similar modern frameworks) with minimum 5 years of works exp
• Experience building and shipping real products
• Ability to plan before building and refactor when needed
• High ownership mindset

Bonus if you’ve worked in early-stage startups or B2B SaaS.

Why MeltPlan

• Massive industry, real-world impact
• High ownership from day one
• Small team, zero bureaucracy
• Competitive comp + meaningful equity

How to Apply

Send us:

• Your GitHub
• Links to products you’ve shipped
• A short note on something you built that you’re proud of

We value builders. Show us what you’ve made.

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

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

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