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

Job Summary

We are seeking a highly skilled and experienced Senior Salesforce QA Engineer to lead the end-to-end quality assurance for our enterprise Salesforce platform. In this role, you will design robust test strategies, establish automated testing pipelines, and validate complex custom configurations, Apex code, and integrations. As a senior member of the team, you will bridge the gap between business requirements and technical execution, ensuring the delivery of high-quality, scalable solutions across Sales, Service, and Custom Clouds.

Key Responsibilities

• Test Strategy & Planning: Define, implement, and maintain comprehensive test strategies, test plans, and test cases covering functional, regression, integration, and end-to-end scenarios.

• Test Automation: Architect, scale, and maintain automated testing frameworks using enterprise tools (e.g., Provar, Tricentis Tosca, or Selenium with Java/Python) specifically optimized for Salesforce's dynamic UI.

• Complex Custom Validation: Validate complex programmatic customizations (Apex classes, Triggers, Lightning Web Components) and declarative features (Advanced Flows, Validation Rules).

• Integration Testing: Lead end-to-end API testing (REST/SOAP) to verify seamless data flow between Salesforce and upstream/downstream external systems.

• Environment & Release Management: Oversee sandbox deployments, data masking, and regression testing during Salesforce seasonal releases and monthly deployment cycles.

• Defect Lifecycle Management: Own the defect tracking process in Jira or Azure DevOps, collaborating closely with developers, business analysts, and product owners for rapid root-cause resolution.

• Mentorship & Leadership: Provide technical guidance and mentorship to junior QA engineers and lead user acceptance testing (UAT) phases with business stakeholders.

Required Technical Skills & Qualifications

• Experience: 5 to 10 years of dedicated software quality engineering experience, with a minimum of 3+ years focused exclusively on testing Salesforce ecosystems.

• Salesforce Core Knowledge: Deep understanding of Salesforce architecture, data models, object relationships, sharing rules, and platform governor limits.

• Automation Expertise: Hands-on experience developing framework code or no-code architectures using tools like Provar, Selenium WebDriver, Tricentis Tosca, or UFT.

• API Testing: Proficient in API testing tools such as Postman, SoapUI, or automated API frameworks.

• Agile & Devops: Strong experience working within Agile/Scrum methodologies and integrating automated tests into CI/CD pipelines (e.g., Copado, Jenkins, GitHubActions).

• Data Management: Proficiency in writing SQL queries and utilizing Salesforce Data Loader for test data creation and verification.

We are seeking a Technology Solutions Engineer with 3–5 years of hands-on software development experience who is passionate about exploring new technologies and solving business problems through rapid prototyping. The role focuses on evaluating technology solutions, building proof-of-concept (POC) applications, validating third-party integrations, and assessing the technical feasibility of business requirements before production implementation.

Responsibilities:

• Understand business requirements and convert them into technical solution options.
• Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
• Develop POCs and prototypes to validate technical feasibility.
• Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
• Perform technical, scalability, security, and cost feasibility assessments.
• Prepare solution comparison reports, architecture diagrams, and technical recommendations.
• Collaborate with business users, vendors, and engineering teams during evaluations.
• Identify technical risks, assumptions, and implementation dependencies.
• Support engineering teams in transitioning successful POCs into production.
• Maintain clear technical documentation.

Criteria:

·      Bachelor's degree in Computer Science, Information Technology, or a related field.

·      3–5 years of hands-on experience in software development, integration engineering, or solution engineering.

·      Strong coding skills in Python, Node.js, Java, or C#.

·      Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.

·      Hands-on exposure to AWS or another major cloud platform.

·      Experience with Git, Docker, and SQL databases.

·      Excellent analytical, troubleshooting, and communication skills

·      Comfortable collaborating across product, engineering, and business teams

·      Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills

• Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
• Experience evaluating third-party enterprise software.
• Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.
• Ability to create architecture diagrams and technical proposals.

What Makes You Successful

• Quickly builds functional POCs to validate ideas.
• Can independently evaluate multiple technical approaches.
• Balances technical quality, implementation effort, and business value.
• Communicates findings clearly to technical and non-technical stakeholders.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

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

About Wissen Technology:

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

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

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

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

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

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

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

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

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

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

Job Title: Azure Fabric Data Engineer / AI Engineer

Experience: 4–8 Years

Location: Pune(Hybrid)

Job Summary

We are seeking Azure Fabric Data Engineers with experience in data engineering, Power BI, and AI to build modern data platforms and AI-driven solutions on Microsoft Fabric.

Key Responsibilities

• Develop ETL/ELT pipelines using Microsoft Fabric.
• Integrate data from multiple enterprise systems into Fabric.
• Build and optimize Lakehouse and Data Warehouse solutions.
• Develop Power BI dashboards and reports.
• Build AI-powered applications, AI Agents, and chatbots using Azure AI Services and Azure OpenAI.
• Collaborate with business and technical teams to deliver scalable analytics solutions.

Required Skills

• Microsoft Fabric
• Data Engineering and ETL/ELT
• SQL, Python, PySpark
• Power BI
• Azure AI Services / Azure OpenAI
• Data Modeling
• Git and Azure DevOps

Preferred: Experience with Financial Services/Capital Markets, Generative AI, RAG, or LLM-based applications.

Senior Gen AI Full Stack Engineer:

• Strong background in AI/ML and Gen AI with a deep understanding of LLMs, NLP pipelines, and AI model lifecycle.

• Experience in designing and building guardrail systems for Gen AI applications – including prompt filtering, semantic validation, toxicity detection, and hallucination mitigation.

• Fast API experience for API development.

• Proficiency in Python with frameworks like LangChain, Transformers, OpenAI, and LLM orchestration tools.

• Strong DevOps skills including CI/CD, Docker, Kubernetes, and Git.

Experience integrating Gen AI models into enterprise platforms securely and ethically.

On the Job

● Build and maintain scalable cloud infrastructure on AWS

● Improve CI/CD pipelines, deployment systems, and developer workflows

● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)

● Manage and optimize Kubernetes clusters and containerized workloads

● Improve observability across systems through monitoring, logging, and alerting

● Drive reliability initiatives including incident response, root cause analysis, and operational

improvements

● Collaborate with engineering teams to improve service scalability, performance, and security

● Implement IAM, secrets management, and infrastructure security best practices

● Optimize infrastructure costs and improve resource efficiency

● Actively leverage AI tools and workflows to improve engineering productivity and automation

Must Haves

● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles

● Strong hands-on experience with AWS infrastructure and services

● Good understanding of Kubernetes, Docker, and container orchestration

● Experience with Infrastructure-as-Code tools like Terraform or Pulumi

● Strong scripting/coding skills in Python, Go, or Bash

● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,

etc.)

● Understanding of networking fundamentals, Linux systems, and cloud security practices

● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,

etc.

● Strong debugging and problem-solving skills

● Ability to work independently in a fast-moving environment

Good To Haves

● Experience working in fintech or high-scale startup environments

● Exposure to service mesh, zero-trust security, or secrets management systems

● Experience with multi-cluster Kubernetes environments

● Familiarity with incident management, SLOs, and reliability engineering practices

● Experience building internal developer platforms or automation tooling

The AI Specialist candidate should have the following skills:

Must-have:

• Proficiency in Python and Java
• Experience with LLMs, prompt engineering, and RAG architectures
• Familiarity with AWS cloud platform
• Strong analytical and problem-solving skills
• Ability to communicate complex technical concepts to non-technical stakeholders

Hiring for Lead Python Developer

Exp : 7+ yrs

Edu : BE/B.Tech

Work Location : Bengaluru / Gurugram Hybrid

Skills :

Strong expertise in Python programming. 

Experience with frameworks such as: Django Flask FastAPI 

Strong understanding of: REST APIs Microservices Architecture OOPs Concepts Design Patterns 

Experience with databases: PostgreSQL MySQL MongoDB Redis 

Hands-on experience with: Docker Kubernetes CI/CD Pipelines Git/GitHub/GitLab 

Cloud platform experience: AWS / Azure / GCP 

Knowledge of message brokers: Kafka / RabbitMQ 

Experience with unit testing and automation frameworks. 

Leadership Skills Strong team handling and mentoring experience. 

Ability to drive technical discussions and architecture decisions. 

Excellent stakeholder management and communication skills. 

Experience managing Agile/Scrum teams. 

Preferred Qualifications Bachelor’s/Master’s degree in Computer Science or related field.

 Experience in large-scale enterprise applications.

Exposure to AI/ML integrations is an added advantage. Certifications in cloud or Python technologies are preferred.

Role overview:

We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.

Key responsibilities

• Design, build, and operate AWS Lambda services across our HCM/workforce, project-management, commercial/revenue, permissions, and document domains — each comprising dozens of functions.
• Own the multi-tenant PostgreSQL data layer — schema design, query performance, and the permission/relationship model — end to end.
• Maintain and evolve the request path — API Gateway → custom Lambda authorizer → VPC-bound Lambda → private databases — including the runtime IAM/credential model that scopes every request.
• Safeguard tenant isolation and security across a per-company Cognito authentication model.
• Build and maintain integrations with external construction data environments (Asite, Autodesk Construction Cloud), including large-scale document synchronization.
• Optimize performance and reliability to keep latency-sensitive endpoints well within platform limits under growing load.
• Raise the engineering bar — testing, observability, CI/CD, and modernization of legacy components.
• Debug and resolve production incidents to root cause, and put safeguards in place so they don't recur.
• Document decisions and designs and collaborate with the frontend (Angular) and product teams.

Challenges you'll solve.

We prefer to be candid — these are the problems that make this role genuinely interesting:

Latency under a hard ceiling

API Gateway terminates any request beyond ~29 seconds regardless of the Lambda's own timeout — yet much of our value comes from heavy cross-project reporting. You'll keep p95 latency within budget through set-based SQL, pagination, streaming, and asynchronous processing.

Least-privilege, per-request security

A shared custom authorizer mints short-lived, request-scoped credentials via sts:AssumeRole under a strict 2,048-character inline session-policy limit. You'll design permission models that stay within that budget and reason about IAM precisely.

Graph-shaped data, relational store

The permission and relationship model is inherently graph-like, but lives in PostgreSQL — you'll model it with recursive queries, careful indexing, and set-based traversal rather than reaching for a separate graph engine.

Watertight multi-tenancy

One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.

VPC-bound serverless

Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.

Resilient external integrations

Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.

Compute-heavy workloads

Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.

The stack.

Runtime — Node.js, Python, AWS Lambda

AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2

Infrastructure & CI/CD- AWS SAM, CodePipeline → CodeBuild Shared Data —PostgreSQL

Qualifications.

• 5+ years building and operating production backend systems.
• Deep expertise in Node.js and JavaScript — the asynchronous model, event loop, and memory behavior — plus solid working proficiency in Python and its production behavior.
• Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
• Advanced SQL and relational data modeling — set-based query design and a working understanding of why N+1 patterns cause production issues.
• Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
• Strong ownership, sound judgment, and clear written communication — able to make good decisions with incomplete information and explain trade-offs to non-engineers.

Interview Process:

Introductory call-Mutual fit and role overview.

Technical deep-dive- A walkthrough of a challenging production problem you have owned.

Practical exercise -A realistic backend task, or a walkthrough of your own representative code.

System design- Collaborative design on a real scenario.

Final conversation- Values, ownership, compensation, and offer.

Job Title: Principal Automation Engineer (AI)

Deltek is seeking a Principal Automation Engineer with deep expertise in AI-native test automation to help shape the quality engineering foundation Deltek’s next-generation, AI-first ERP platform for project-based businesses. This is not a role for someone who automates feature regression. It is a role for someone who can harness AI tools to build intelligent automation frameworks that reason, adapt, and self-heal.

You will be the automation architect behind Deltek’s in-house AI-native test automation platform combining Playwright with LLM-powered agents (Planner, Generator, Healer). You will extend, evolve, and industrialize this framework, integrating AI tools at every layer: test generation, self-healing selectors, LLM-as-a-Judge evaluation, and CI/CD-gated quality pipelines.

If you are fluent in Playwright, agentic AI workflows, and modern test engineering — and want to build something genuinely new rather than maintain legacy frameworks — we invite you to join our team. ERP domain knowledge is a strong plus and will accelerate your impact.

Responsibilities:

Architect and evolve the AI-native automation framework — extending Playwright-based agents with LLM-powered planning, test generation, and self-healing capabilities.

Use AI tools extensively (Claude, GitHub Copilot, LLM APIs) to design, generate, and augment automation suites — reducing human authoring effort while increasing scenario coverage.

Build and maintain Playwright agent pipelines for end-to-end workflow automation across Deltek’s Projects, Workforce Management, and Financials modules.

Integrate LLM-as-a-Judge (LLMaaJ) evaluation into the test pipeline to automatically score AI-generated outputs, detect hallucinations, and validate response quality against golden datasets.

Design and implement AI safety and correctness test cases: hallucination detection, bias testing, output guardrail validation, and behavioral consistency across edge cases.

Own the CI/CD automation pipeline (GitHub Actions / Azure DevOps) for AI-enabled releases — including regression gates, model-response validation, and automated quality dashboards in ReportPortal and Grafana.

Validate AI/ML outputs including prediction accuracy, recommendation relevance, natural-language responses, and inference API payloads.

Build and maintain golden datasets for AI drift detection, regression baselines, and LLM evaluation benchmarks.

Collaborate with Product Managers, AI/ML Engineers, and QE leads to define AI feature release quality gates and automation coverage targets.

Mentor QE team members on AI-assisted automation patterns, agentic testing concepts, and framework best practices.

Contribute to test strategy for data migration validation of schema fidelity and record correctness.

Qualifications:

BS/MS degree in Computer Science, Software Engineering, or a related field.

Relevant certifications in software quality, AI/ML, or cloud engineering are advantageous.

Experience:

8+ years of experience in test automation engineering, with at least 3+ years working with AI/LLM-based systems or agentic automation frameworks.

Proven hands-on experience with Playwright — including Playwright agents, fixtures, and API testing integration.

Demonstrated experience using AI tools (Claude API, OpenAI, GitHub Copilot, or equivalent) to accelerate test authoring, framework design, or output evaluation.

Track record of designing and implementing AI-based automation solutions — not just using automation tools, but building the frameworks others use.

Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).

Experience with performance, scalability, or data-drift testing of AI features in production or pre-production ERP contexts.

ERP domain knowledge (Project Accounting, Financials, Payroll, Time & Expense) is a strong plus and will significantly accelerate onboarding and impact.

Good-to-Have Skills:

Familiarity with Ajera, Costpoint, Vantagepoint, or comparable project-based ERP systems.

Understanding of LLM fine-tuning, RAG pipelines, vector databases, and embeddings from a QA/validation perspective.

Experience building or working with self-healing automation frameworks or AIOps tooling.

Exposure to security testing for AI systems — prompt injection, output sanitization, guardrail bypass testing.

Familiarity with data privacy and compliance frameworks in AI-enabled enterprise software.

Technical Qualifications:

Deep, hands-on proficiency with Playwright — including agentic patterns, multi-step workflow automation, and integration with LLM backends.

Proficiency in TypeScript and/or Python for building automation frameworks, AI evaluation utilities, prompt-testing harnesses, and data-driven test pipelines.

Strong understanding of LLM/ML concepts from a QA perspective: prompt engineering, hallucination detection, output scoring, explainability validation, behavioral consistency testing.

Experience with REST and GraphQL API testing, including automated evaluation of LLM inference API payloads and AI-generated JSON responses.

Familiarity with ReportPortal, Grafana, or equivalent for test execution dashboards and quality metric visualization.

Strong SQL skills for data validation, training dataset verification, and ERP data pipeline testing.

Working knowledge of GitHub Actions and Azure DevOps (ADO/TFS) for CI/CD pipeline integration and issue tracking.

Good understanding of Agile/Scrum practices and AI model release cycles — shadow mode, A/B comparison, phased rollout validation.

Soft Skills:

Framework-builder mindset: thinks in systems, not scripts — builds what others use rather than executing what others built.

Strong communication skills: able to explain AI validation concepts clearly to engineers, product managers, and QE team members.

High ownership and self-direction: identifies automation gaps proactively and drives coverage improvements without waiting to be asked.

Collaborative and generous with knowledge: invests in mentoring team members and raising the team’s automation maturity.

Continuous learner: actively tracks the evolving AI tooling ecosystem and brings new techniques into the framework.

Able to manage multiple priorities in a fast-paced, distributed team environment.

Join Deltek and be at the forefront of how modern ERP quality engineering is done. You will help build the AI driven current automation framework into an industry-leading AI-native automation platform — combining Playwright agents, LLM-powered test generation, self-healing infrastructure, and intelligent quality gates.

About US:-

We turn customer challenges into growth opportunities.

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

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

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

Job Description: Sr. Full Stack Engineer (Python, JavaScript & AI Engineering) – 7-8 years 

Role Summary 

We are seeking an experienced Sr. Engineer/Technical Lead with strong expertise in Python, JavaScript/TypeScript, and AI-native application development. The ideal candidate will build scalable cloud applications, architect intelligent systems powered by Large Language Models (LLMs), drive engineering excellence, and help teams adopt modern AI-assisted development practices. This is a hands-on leadership role combining software engineering, AI integration, and technical mentorship. 

Key Responsibilities 

• Design, develop, and maintain scalable applications using Python and JavaScript/TypeScript. 
• Build APIs, microservices, and event-driven cloud-native solutions. 
• Design and implement AI-enabled features using LLMs, RAG, structured outputs, and tool integrations. 
• Build and maintain agentic workflows for business automation and developer productivity. 
• Leverage AI coding assistants and code agents to improve software delivery and engineering efficiency. 
• Integrate enterprise services including authentication, SSO, authorization, and internal platforms. 
• Collaborate with platform teams to deploy and operate applications on AWS or Azure. 
• Drive engineering best practices including CI/CD, testing, observability, code reviews, and secure development. 
• Document architectures, APIs, AI workflows, and key technical decisions. 
• Mentor engineers and help teams adopt modern AI-first development practices. 

Required Skills 

• Strong hands-on experience building production applications with Python. 
• Good experience with JavaScript or TypeScript and modern application architectures. 
• Experience designing REST APIs, microservices, and distributed systems. 
• Practical understanding of LLMs, prompt engineering, RAG, embeddings, vector search, and AI application patterns. 
• Experience integrating commercial or open-source AI models into production systems. 
• Hands-on experience using AI coding assistants and code agents to accelerate development. 
• Understanding of agent orchestration concepts and Model Context Protocol (MCP). 
• Experience with AWS or Azure cloud platforms. 
• Experience with CI/CD, automated testing, code quality, and application observability. 
• Strong communication, documentation, and technical leadership skills. 

Good-to-Have Skills 

• Experience with AI orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or similar. 
• Knowledge of FastAPI, Node.js, React, or Next.js. 
• Experience with containers and Kubernetes. 
• Exposure to AI evaluation, guardrails, and production monitoring. 
• Experience mentoring teams and driving AI adoption across engineering organizations. 

Job Summary

We are looking for an experienced and hands-on Technical Project Manager with a strong software development background who has transitioned into project management. The ideal candidate should possess excellent technical expertise in Python, React, data engineering, and modern software development practices, while effectively leading cross-functional engineering teams to deliver high-quality products on time.

This role requires a leader who can bridge the gap between business and technology, understand technical challenges, guide engineering teams, and ensure successful project execution.

Key Responsibilities

• Lead end-to-end project planning, execution, delivery, and post-release support.
• Collaborate with stakeholders to gather business requirements and translate them into technical deliverables.
• Manage cross-functional teams consisting of backend, frontend, QA, DevOps, and data engineers.
• Drive Agile/Scrum ceremonies including sprint planning, daily stand-ups, retrospectives, and release planning.
• Monitor project timelines, risks, dependencies, budgets, and resource allocation.
• Review technical designs and participate in architectural discussions.
• Coordinate with engineering teams to ensure high-quality coding standards and best practices.
• Track project KPIs and provide regular status updates to senior leadership.
• Identify risks proactively and develop mitigation plans.
• Ensure timely delivery while maintaining quality and customer satisfaction.

Technical Skills Required

• Strong prior hands-on development experience.
• Good understanding of:
• Python
• React.js
• REST APIs
• SQL and NoSQL databases
• Data Engineering concepts
• Cloud platforms (AWS, Azure, or GCP)
• Git and CI/CD pipelines
• DevOps fundamentals
• Familiarity with AI/ML projects and data-driven applications is an added advantage.
• Ability to understand system architecture and provide technical guidance to development teams.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 8–10 years of overall IT experience.
• Proven experience managing software development projects.
• Prior experience as a Software Engineer or Technical Lead before moving into project management.
• Strong understanding of SDLC and Agile methodologies.
• Excellent communication, stakeholder management, and leadership skills.
• Experience working with distributed teams is preferred.

Preferred Skills

• Experience in AI, Data Analytics, or Machine Learning projects.
• Exposure to GIS-based applications is an added advantage.
• Scrum Master or PMP certification is desirable.
• Strong analytical and problem-solving abilities.

What We Are Looking For

• A technically strong Project Manager who understands code, architecture, and engineering challenges.
• Excellent leadership and people management skills.
• Strong decision-making and risk management capabilities.
• Ability to manage multiple priorities in a fast-paced environment.
• Self-driven, proactive, and result-oriented professional.

Location:: Bangalore

Experience:: 8–10 Years

Employment Type::Full-Time

Job Summary::

We are looking for an experienced and hands-on Technical Project Manager with a strong software development background who has transitioned into project management. The ideal candidate should possess excellent technical expertise in Python, React, data engineering, and modern software development practices, while effectively leading cross-functional engineering teams to deliver high-quality products on time.

This role requires a leader who can bridge the gap between business and technology, understand technical challenges, guide engineering teams, and ensure successful project execution.

Key Responsibilities

• Lead end-to-end project planning, execution, delivery, and post-release support.
• Collaborate with stakeholders to gather business requirements and translate them into technical deliverables.
• Manage cross-functional teams consisting of backend, frontend, QA, DevOps, and data engineers.
• Drive Agile/Scrum ceremonies including sprint planning, daily stand-ups, retrospectives, and release planning.
• Monitor project timelines, risks, dependencies, budgets, and resource allocation.
• Review technical designs and participate in architectural discussions.
• Coordinate with engineering teams to ensure high-quality coding standards and best practices.
• Track project KPIs and provide regular status updates to senior leadership.
• Identify risks proactively and develop mitigation plans.
• Ensure timely delivery while maintaining quality and customer satisfaction.

Technical Skills Required

• Strong prior hands-on development experience.
• Good understanding of:
• Python
• React.js
• REST APIs
• SQL and NoSQL databases
• Data Engineering concepts
• Cloud platforms (AWS, Azure, or GCP)
• Git and CI/CD pipelines
• DevOps fundamentals
• Familiarity with AI/ML projects and data-driven applications is an added advantage.
• Ability to understand system architecture and provide technical guidance to development teams.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 8–10 years of overall IT experience.
• Proven experience managing software development projects.
• Prior experience as a Software Engineer or Technical Lead before moving into project management.
• Strong understanding of SDLC and Agile methodologies.
• Excellent communication, stakeholder management, and leadership skills.
• Experience working with distributed teams is preferred.

Preferred Skills

• Experience in AI, Data Analytics, or Machine Learning projects.
• Exposure to GIS-based applications is an added advantage.
• Scrum Master or PMP certification is desirable.
• Strong analytical and problem-solving abilities.

What We Are Looking For

• A technically strong Project Manager who understands code, architecture, and engineering challenges.
• Excellent leadership and people management skills.
• Strong decision-making and risk management capabilities.
• Ability to manage multiple priorities in a fast-paced environment.
• Self-driven, proactive, and result-oriented professional.

Job Title : Software Development Engineer in Test (SDET)

Experience : 2 to 5 Years

Location : Bangalore

Working Days : 5 Days/Week

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 2 Client Rounds

Job Summary :

We are looking for a skilled Software Development Engineer in Test (SDET) with strong expertise in Java-based automation testing. The ideal candidate should have hands-on experience in automation frameworks, API testing, debugging, SQL, and cloud technologies while ensuring the delivery of high-quality software applications.

Mandatory Skills :

Java, Selenium, Appium, API Testing, SQL, AWS, Debugging, Cache Memory Concepts (Python is a Plus).

Key Responsibilities :

• Design, develop, and maintain automated test scripts using Java and Selenium/Appium.
• Perform API testing and validate backend services.
• Write and execute SQL queries for data validation and testing.
• Debug application issues and collaborate with development teams to resolve defects.
• Work with AWS environments for testing and deployment validation.
• Validate application performance involving cache memory mechanisms.
• Contribute to improving test automation frameworks and CI/CD processes.

Required Skills :

• Strong proficiency in Java (Mandatory).
• Hands-on experience with Selenium and Appium.
• Strong knowledge of API Testing.
• Good understanding of SQL.
• Experience with AWS.
• Excellent debugging and troubleshooting skills.
• Understanding of cache memory/caching concepts.
• Python knowledge is an added advantage.

Byteridge is seeking a Business Intelligence Solutions engineer to drive

transformative analytics and AI-powered insights for our strategic customers across India. You will lead

complex deployments of Amazon QuickSuite and related AWS analytics services, working directly with

customers to accelerate their data-driven transformation.

This role combines deep technical expertise in business intelligence, data integration, and AI automation to deliver production-ready solutions that unlock the full potential of customer data across multi-cloud environments.

What You'll Do

Solution Architecture & Deployment

• Lead end-to-end deployments of Amazon QuickSuite, QuickSight, and AWS analytics solutions forstrategic customers

• Design and implement comprehensive BI architectures that integrate with diverse data sourcesacross multi-cloud environments

• Develop custom connectors, APIs, and MCP (Model Context Protocol) integrations to extendplatform capabilities

• Configure and optimize Agents, Spaces, Topics, and Dashboards for customer-specific use cases

Technical Development & Integration

• Build custom connectors and integrations to connect QuickSuite with enterprise data sources

• Develop API-based solutions and automation workflows to streamline BI operations

• Implement data pipelines connecting multi-cloud data sources (AWS, Azure, GCP) to analyticsplatforms

• Create reusable templates, accelerators, and best practices for rapid deployment

Customer Engagement & Enablement

• Partner with customer teams to understand business requirements and translate them into

technical solutions

• Provide technical guidance on dashboard design, data modeling, and visualization best practices

• Train customer teams on QuickSuite capabilities, agent configuration, and self-service analytics

• Identify expansion opportunities and drive adoption of advanced analytics features

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical

experience

• 4-6 years of experience in business intelligence, data analytics, or technical consulting roles

• Strong programming skills in Python, JavaScript, SQL, or similar languages

• Experience with BI platforms, data visualization, and analytics solution deployment

Technical Expertise (High-Level Alignment)

• Proficiency with business intelligence and data visualization tools (QuickSight, Tableau, Power BI, or

similar)

• Experience with API development, REST services, and integration patterns

• Understanding of data modeling, ETL/ELT processes, and data warehouse concepts

• Familiarity with AWS analytics services (QuickSight, Athena, Glue, Redshift) or equivalent platforms

Preferred Experience

• Hands-on experience with Amazon QuickSuite or similar AI-powered analytics platforms

• Knowledge of MCP (Model Context Protocol) and custom connector development

• Experience configuring AI agents, knowledge bases, and automated workflows

• Background working with multi-cloud data sources and hybrid architectures

• Understanding of data governance, security, and compliance requirements

Essential Attributes

• Excellent problem-solving skills with ability to navigate ambiguous requirements

• Strong communication skills to engage with technical and business stakeholders

• Ability to manage multiple customer engagements and prioritize effectively

• Customer-focused mindset with commitment to delivering measurable business outcomes

At Oracle Health, we’re building the future of healthcare

At Oracle Health, we’re building the future of healthcare—cloud-native healthcare solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work, enabling better patient care while ensuring accurate, timely reimbursement.

We are modernizing Electronic Health Record and Clinical Analytics systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden.

We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Responsibilities

Key Responsibilities

• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

Mandatory Qualifications

• BS/MS in Computer Science or equivalent.
• 4+ years of relevant software engineering experience.
• Strong software engineering skills in Python/Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modelling (Spark, SQL), hands-on experience in BI.
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
• Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
• Experience using ChatGPT, Claude, or similar models on a routine basis to improve productivity.

Preferred Qualifications

• Experience with agentic architectures or GenAI platforms.
• Background in healthcare or digital health systems.
• Understanding of EHR systems and RCM workflows.
• Familiarity with healthcare coding standards (ICD/CPT).

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

About Indee

Indee is a secure video streaming and distribution platform trusted by the world's largest studios, streamers, and awards bodies. Today more than 1100 companies use Indee to power screeners, awards campaigns, content sales, and secure review workflows, including partners such as Netflix, A24 Films, Amazon MGM Studios, Disney, Paramount Pictures, Universal Pictures, NBC Universal, Focus Features, Paramount Global, Neon, STARZ, and Magnolia Pictures. Indee has achieved consistent growth, averaging 60% year-on-year growth over the past five years.

About the role

We are seeking a QA Manager with 8-12 years of experience in software testing and quality assurance, including experience leading QA teams in fast-paced product environments. The ideal candidate is a hands-on quality leader with strong expertise in both manual and automation testing, a proven track record of driving high-velocity daily releases, and the ability to build and develop high-performing QA teams. This individual will be responsible for the quality strategy for Indee's products while actively contributing to release planning, testing initiatives, process improvements, automation efforts, and production quality outcomes.

Responsibilities

• Own and continuously evolve Indee's QA strategy across manual, automation, regression, exploratory, API, performance, and release testing.
• Lead QA efforts throughout the software development lifecycle, including test planning, test execution, defect management, risk assessment, release validation, and release sign-offs.
• Drive adoption of AI-enabled testing approaches and continuously evaluate opportunities to improve testing efficiency, quality, and coverage.
• Drive release quality by establishing strong validation processes, improving regression coverage, and minimizing production defects.
• Define, track, and report on key quality metrics, including production defect leakage, release readiness, automation coverage, defect trends, and test effectiveness.
• Conduct root cause analysis for production issues and implement preventive actions to improve product quality and release stability.
• Drive automation initiatives across the QA function, improving automation coverage, framework reliability, execution efficiency, and long-term maintainability.
• Partner with engineering teams to identify automation opportunities and improve testing effectiveness through API-based and UI-based automation approaches
• Mentor and develop QA engineers across manual and automation testing disciplines, supporting skill development, career growth, and technical excellence.
• Enable manual QA engineers to contribute to automation efforts through coaching, structured ownership, and ongoing support.
• Collaborate with product and engineering teams to drive quality throughout the software development lifecycle, from requirements and design through testing, release, and production support.
• Support timely investigation, validation, and resolution of customer-reported issues, production incidents, and QA-related escalations.
• Improve release planning, workload allocation, and team capacity management to support multiple concurrent projects and business priorities.
• Lead, mentor, and manage the QA team, including hiring, onboarding, performance management, capacity planning, and succession planning.
• Foster a collaborative, accountable, and high-performing team culture that promotes ownership, continuous improvement, and operational excellence.

Requirements

Education: Bachelor's degree in computer science, software engineering, or a related field; master's degree preferred.

Experience:

• 8-12 years of QA experience in product companies.
• 4+ years of experience managing/leading QA teams.

Must Haves

• Strong people leadership and planning skills
• Ability to schedule work within defined timelines for the team.
• Strong hands-on experience in QA of web and mobile applications.
• Experience in test automation using Selenium with Python, leveraging BDD frameworks.
• Experience with API testing using tools like Postman or equivalent.
• Strong understanding of test strategy, test planning, regression testing, defect management, and release validation processes.
• Experience leading QA for production releases and driving release sign-off decisions.
• Experience defining, tracking, and analyzing quality metrics and release health indicators.
• Strong understanding of root cause analysis and defect prevention methodologies.
• Experience working in Agile/Scrum environments.
• Strong stakeholder management, communication, and cross-functional collaboration skills.
• Strong capabilities in git/github
• Strong experience in JIRA, issue tracking, JIRA customization and reporting.
• Experience with Appium or mobile automation frameworks.

Good-to-haves

• Exposure to performance testing
• Understanding of ISO-27001 processes and frameworks
• Understanding of SOC-2 compliance and application / QA-specific needs.
• Exposure to security and penetration testing.
• Strong background in CI/CD pipelines

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with cutting-edge technologies and industry-leading experts.
• Flexible work environment with the option for remote work for 3 weeks a month (hybrid).
• Professional development opportunities and support for continued learning.
• Dynamic and collaborative company culture with opportunities for growth and advancement.

If you are passionate about software quality and leading high-performing teams, value collaboration, and are eager to work in a respectful environment, we'd love to hear from you!

SOLARSQUARE  ·  ENGINEERING

Staff Engineer, Data Platform

Team: Data Engineering    ·    Level: Staff (Individual Contributor)    ·    Experience: 8+ years      ·    Full-time

Own the data platform that turns every customer and field interaction into a decision SolarSquare can act on.

About SolarSquare :

At SolarSquare we are building the Home-Energy brand of future India. We help homes switch to rooftop solar and move away from traditional coal electricity. We are a full-stack D2C residential solar brand — designing, installing, maintaining (after-sales), and financing solar systems for home-owners across India.

In a few short years we have scaled to become the leading residential solar brand in India. We are obsessed with quality, customer service, and innovating to make it simple for homes to switch to solar. We are looking for leaders to join us in this mission.

Get to know us

• SolarSquare - company website
• Featured by TIME as one of the World’s Top GreenTech Companies of 2025
• SolarSquare raises $53M Series C led by B Capital (Moneycontrol)
• India’s rooftop solar market and SolarSquare’s growth (TechCrunch)

About the role :

As a Staff Engineer on Data Platform, you set the technical direction for how we move, model, and serve data across the entire customer lifecycle — from real-time operational streams off thousands of field devices to the analytical layer our leaders and AI systems depend on. You operate at the scope of the platform: ambiguous problems land on your desk, and you turn them into systems the whole org builds on.

What you’ll own :

• Design and scale the data platform end to end: streaming ingestion, batch pipelines, the analytical warehouse, and a governed self-serve metrics layer.
• Build real-time operational data streams that power field operations and customer-facing experiences with low latency and high reliability.
• Own data quality, lineage, and governance — including PII handling — so teams trust the data and never dump it mindlessly.
• Define a golden metrics layer and the standards, contracts, and tooling that make analytics self-serve across the org.
• Set the bar on craft: review designs, clear data tech debt every sprint, and mentor engineers across pods.

The Tech you’ll work with :

You’ll work across event streaming (Kafka), PostgreSQL as the system of record, a columnar analytical warehouse for OLAP, Python-based pipelines, and Metabase for self-serve BI — with more workloads moving to real-time and columnar storage as we scale. We’re stack-agnostic for the right person; fundamentals matter more than any one tool.

What we’re looking for :

• 8+ years building large-scale data systems in production, with deep ownership of at least one major data platform.
• Strong command of distributed data processing and streaming architectures, plus modern columnar / analytical warehouses.
• Expert SQL and data modeling; fluency in data quality, lineage, and governance.
• Proven ability to turn ambiguous business questions into durable data models and reusable platform abstractions.
• Experience setting technical direction and growing the engineers around you.
• Customer-obsessed and impact-led: you start from the customer’s pain and judge yourself by the metric your work moves, not the tickets you close.
• High agency: you don’t wait to be told — you spot problems, pick them up, and own the outcome through to production.
• Craft over shortcuts: you fix root causes rather than symptoms, clear tech debt as you go, and don’t ship bugs.
• Bias for speed and simplicity: you build once for reuse, automate the mundane, and let AI draft the first pass so your judgment goes where it matters.
• Data-driven: you reach for evidence over assumptions and let results guide the next decision.

Bonus points

• Experience with lakehouse architectures, real-time analytics, or geospatial / IoT-scale data.
• Exposure to semantic layers and self-serve analytics platforms.
• Built data platforms that feed ML or AI systems.

Why you’ll love building here

• Direct ownership of high-impact initiatives with visible customer and business outcomes.
• An AI-native engineering culture with first-class tooling and internal agents.
• A high-agency, low-bureaucracy environment where you debate what’s right and ship.
• A meritocracy where growth and recognition track impact, not tenure.
• Competitive compensation.
• A front-row seat to putting clean energy on millions of Indian rooftops.

About Ritually

Ritually is building the definitive process discovery platform for back office work. Our product fuses underutilized system telemetry with computer vision to help large enterprise and scaling mid-market companies deeply understand and reimagine their highest value and most repetitive processes for a world where humans and agents work together. We're based in New York and Denver.

We believe deeply in trust (of our customers and each other), craft, customer obsession, and speed.

You'll be joining an AI-native, fast-moving, and repeat founding team. Ritually's founders previously built and exited a startup (Involvio) to Cisco. The company is funded and working with design partners.

The Role

This is a founding applied-AI role. You'll be building our core data pipeline and intelligence layer with the founding team from 0-1 You'll be tackling our largest technical challenges across technologies.

What You'll Do

• Design and build data pipelines that capture and turn high volumes of system activity into structured, queryable data.
• Turn raw activity streams into processes: sessionize event logs, cluster recurring sequences, and use LLMs to label and summarize what's happening.
• Build the evaluation backbone from scratch: stand up synthetic data generation pipelines that produce labeled scenarios to measure accuracy and catch regressions.
• Own data quality and privacy.
• Partner closely with the founders and the rest of engineering to ship features end to end.

What We're Looking For

• 1-4 years of experience in data engineering, AI/ML engineering, or backend work with a data focus (some of this can be project or research experience).
• Strong in Python and/or TypeScript, comfortable in SQL, and able to build data pipelines you can trust.
• Hands-on experience working with LLMs structured output, prompting, and wrangling non-determinism while keeping behavior reliable.
• A practical sense for evaluation: you know that "it looks right" isn't the same as "it's measurably right."
• Care about data privacy and handling sensitive information responsibly.
• Comfort with ambiguity and a real appetite to own a hard, open-ended problem.

Nice to Have

• Background in process mining, sequence / event-log analysis, or workflow analytics.
• Deeper PostgreSQL: window functions, partitioning, pg_cron, query performance.
• Embeddings and vector search (pgvector) or semantic retrieval.
• Familiarity with cloud infrastructure.
• Any prior early-stage startup experience.
• Degree in computer science or a related field.

About Ritually

Ritually is building the definitive process discovery platform for back office work. Our product fuses underutilized system telemetry with computer vision to help large enterprise and scaling mid-market companies deeply understand and reimagine their highest value and most repetitive processes for a world where humans and agents work together. We're based in New York and Denver.

We believe deeply in trust (of our customers and each other), craft, customer obsession, and speed.

You'll be joining an AI-native, fast-moving, and repeat founding team. Ritually's founders previously built and exited a startup (Involvio) to Cisco. The company is funded and working with design partners.

The Role

This is a founding full-stack role. You'll be building our application with the founding team from 0-1 You'll own features and infra end to end and across technologies. You'll also own how we build: ensuring our AI development workflow is fast, dependable and secure.

What You'll Do

• Build features end to end, across our desktop client, web app, and the backend services that tie them together.
• Go deep in our cross-platform Electron desktop client the native OS integration that powers on-device capture, and the on-device privacy and redaction that runs before data leaves the machine.
• Move fluidly across technologies and layers, picking up whatever a problem needs rather than staying in one corner of the stack.
• Own the infrastructure and deployment path CI/CD, releases, and the cloud services everything runs on so shipping stays routine and reliable.
• Own how we build: keep our AI development workflow fast, dependable, and secure and establish the conventions, tooling, and guardrails that let a small team build like a much larger one.
• Own observability and on-call basics logging, error tracking, and alerting so we catch issues before our customers do.
• Help set technical direction and keep the codebase legible as we scale the engineering team.

What We're Looking For

• 1-4 years building software across the stack frontend, backend, and the glue between them (internships and meaningful side projects count).
• Comfort working across multiple languages and technologies, and a genuine willingness to learn whatever a problem requires.
• Solid fundamentals in shipping production software version control, testing, debugging, and deployment.
• Experience with, or strong interest in, owning infrastructure and devops: CI/CD, cloud services, and reliability.
• Genuine excitement about AI-native development you've used AI coding agents and want to push how far they can go.
• Comfort with ambiguity and a willingness to own problems end to end in a small team.

Nice to Have

• Experience building desktop applications (Electron or native).
• Experience building internal tooling or automation that made a team measurably faster.
• Experience building applications for on-premise deployment.
• Familiarity with managed backend platforms and AI agent tooling.
• Any prior early-stage startup experience.
• Degree in computer science or a related field.

Primary Skills

• Observability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQL
• Automation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIs
• Cloud & Platform: Docker, Kubernetes, Kafka, Redis
• Reliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident Management
• Stakeholder Management & Cross-functional Collaboration

Secondary Skills

• Agentic AI: LangChain, LangGraph, RAG, MCP
• LLM Integration & AI Frameworks
• Python (FastAPI)

Key Responsibilities

• Build and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.
• Integrate AI capabilities into existing applications using modern AI frameworks.
• Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.
• Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.
• Lead incident response, RCA, disaster recovery, and resiliency initiatives.
• Drive production readiness, automation, platform stability, and infrastructure optimization.

Looking for someone strong in AI.  Who has built applications and

scaled them.

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

 ● Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Program Management Skills: Ability to estimate complex projects accurately, manage stakeholder expectations, and hold the team accountable to deadlines. 

● Creative Engineering: A creative mind with an uncanny sense of design thinking and principles. 

● Values: Most importantly, the kind of values you have as a person. 

What Matters Somewhat 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

JOB DESCRIPTION-

Exp - 5 to 8yrs 

Job Summary

We are looking for a highly skilled and motivated Senior Software Engineer with strong expertise in Java (primary) and working knowledge of Python. The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems, while contributing to high-quality software delivery across the full development lifecycle.

Key Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance applications using Java (Spring Boot / Microservices architecture)
• Develop reusable components and APIs with a focus on performance, security, and scalability
• Leverage Python for automation, scripting, data processing, or ML-related use cases (as applicable)
• Collaborate with cross-functional teams including Product, QA, DevOps, and Architecture
• Participate in system design discussions and contribute to technical decision-making
• Write clean, efficient, and well-documented code following coding standards and best practices
• Optimize applications for maximum speed and scalability
• Troubleshoot and debug complex production issues
• Contribute to CI/CD pipelines and DevOps practices
• Mentor junior engineers and perform code reviews

Required Skills & Qualifications

Technical Skills

• Strong hands-on experience in Core Java, Spring Boot, and Microservices architecture
• Solid understanding of RESTful APIs, multithreading, concurrency, and JVM performance tuning
• Practical experience with Python (automation, scripting, or backend development)
• Experience with databases: SQL (MySQL, PostgreSQL) and/or NoSQL (MongoDB, Cassandra)
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Strong knowledge of data structures, algorithms, and system design
• Experience with message brokers (Kafka, RabbitMQ)
• Exposure to containerization & orchestration (Docker, Kubernetes)
• Experience with version control systems (Git)

Preferred Skills

• Experience in distributed systems and event-driven architectures
• Knowledge of Python frameworks (Flask, FastAPI, Django)
• Exposure to big data technologies (Spark, Hadoop) or ML workflows
• Experience with CI/CD tools (Jenkins, GitHub Actions, etc.)
• Familiarity with observability tools (Prometheus, Grafana, ELK stack)

Soft Skills

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work in a fast-paced agile environment
• Proactive ownership and accountability

Product Engineer

Product Engineer | Fibr.ai

Bengaluru · In office · 2-6 years Stack: Python · FastAPI · Temporal · PostgreSQL · MongoDB

The role Fibr is building the agentic web experience layer - turning every URL into an intelligent agent that senses intent, makes decisions, and adapts in real time. Our agents personalise the full journey, running long LLM workflows against live customer accounts and millions of sessions.

You'll own features end-to-end - from the rough idea in a Slack thread to something shipped, instrumented, and behaving correctly in production. New surface areas land on your plate every few weeks: a new agent, a new integration, a new optimization loop. You're responsible for the whole thing, including the evals and metrics that prove it works. You'll work directly with the founding team and ship to real users every week.

What you'll do Ship AI-powered features end-to-end - backend, data, LLM layer, and the surface the user sees Design long-running workflows that hold up against rate limits, partial failures, and noisy third-party APIs Build and maintain the evals, guardrails, and instrumentation that decide whether a feature is good enough to ship Model the data behind agents and the analytics behind product decisions Sit in on architecture calls and shape where the platform goes next

Must-haves 2-6 years of production backend experience Has shipped LLM-powered features to real users in production - not demos, not side projects. Be ready to talk about what broke and how you fixed it Has built and run evals for LLM systems. Show us the harness, the dataset, and the decisions it drove Comfortable across relational and document databases Has worked with a durable workflow or queue system in production Ships fast without breaking the build Nice-to-haves RAG, vector stores, or tool-use / multi-step agents in production Experience with rate-limited third-party APIs at scale (ad platforms, CRMs, analytics) Strong product sense - you catch the UX issue before the user does Time spent at an early-stage startup

How we work High ownership, low bureaucracy. Decisions in the room, not in docs. You'll work directly with the founding team.

Why Fibr AI Competitive salary + meaningful early-stage equity A chance to build deep expertise at the frontier of AI product

Job Title: Lead Data Scientist

Department: Data Science

Location: Bengaluru

About StepOut

Sports have an access problem. For decades, elite performance intelligence, tactical analysis, and scouting infrastructure have been accessible only to the top clubs. Everyone else has been left behind. StepOut is changing that.

We are building an AI-powered football intelligence platform that transforms raw match footage into structured performance data, tactical insights, and scouting intelligence using proprietary computer vision and machine learning.

We are building this from India, while our technology is being used by clubs like Real Madrid and AFC Ajax, along with leading football ecosystems across 29 countries globally.

If football means something to you beyond entertainment, this might be your place.

The Role

We’re looking for a Lead Data Scientist to help build intelligent systems that understand football at scale.

This is not a research-only role. This is not a notebook-only role.

This is an innovative builder’s role.

You will create production-grade machine learning systems that directly influence how clubs, coaches, scouts, and players make decisions.

As a lead, your role goes beyond building models. You will define technical direction, shape the data science function, mentor talent, and help create the foundations of what this team becomes.

What You’ll Do

• Build and deploy end-to-end ML systems for football intelligence products
• Translate football concepts into scalable data models, metrics, and decision systems
• Own the full ML lifecycle: experimentation, deployment, monitoring, and iteration
• Work closely with Product, Engineering, and Computer Vision teams to solve real-world problems
• Debug messy, imperfect data and design reliable analytical pipelines
• Define technical direction for the data science function
• Mentor junior team members and raise engineering and analytical standards
• Help hire and shape the future data science team
• Drive prioritization and decision-making in ambiguous, fast-moving environments
• Constantly engage in learning new and upcoming research topics and subjects in sports analytics
• Obtain a deep and implementational level understanding of established advanced analytical research areas and models

Must-Haves

• Strong ML fundamentals across supervised and unsupervised learning, experimentation, and model evaluation
• Strong Python, SQL, data analysis, and production engineering mindset
• Experience taking ML systems from idea to production
• Strong ownership, judgment, and decision-making ability
• Ability to communicate clearly with both technical and business stakeholders

Football Passion (Mandatory)

• You must actively follow football and genuinely understand the game.
• Formations, tactical systems, player roles, match flow, performance context - these should feel natural to you.

Good to Have

• Computer vision experience (YOLO, tracking, PyTorch, TensorFlow)
• Sports analytics experience
• LLM or agentic AI experience
• Public ML or football analytics work (GitHub, blogs, research)

Who Will Thrive Here

This role is for someone who sees football as more than just a sport.

Someone who debates tactics, spots patterns others miss, and gets excited by the idea of building technology that changes how the game is understood.

You’ll thrive here if you:

• Love football deeply, not casually
• Love building from scratch
• Thrive in ambiguity and move fast without waiting for perfect instructions
• Want ownership, accountability, and meaningful impact
• Get excited by the idea of your work being used by elite football organizations
• Believe technology can fundamentally reshape sport
• Want to be part of something bigger than just another job

Why StepOut

Because opportunities like this are rare.

Where else can you:

• Build cutting-edge AI for football
• Solve hard problems at the intersection of sport and technology
• Create products used by elite clubs globally
• Build a global company from India
• Shape an entire function from the ground up
• Contribute to a mission bigger than business

We are building from a country ranked 142nd in world football, with the belief that world-class football infrastructure can be built from here. 

But this is bigger than software. 

Our long-term dream is to help build the infrastructure that contributes to India playing in a FIFA World Cup.

If that sounds unrealistic, even better.

“The people who are crazy enough to think they can change the world are the ones who do.” – Steve Jobs

At StepOut, we are building technology that sits at the cutting edge of football and artificial intelligence. If you are ready to contribute your precision and curiosity to a team that is reshaping how the game is understood — this is your opportunity⚽

We are looking for a passionate Backend Developer Intern (Paid Internship - 6 Months) with proficiency in Node.js, Python, PHP, and Laravel, along with working knowledge of React.js. Candidates should have prior internship experience, familiarity with AI-powered development tools, and strong problem-solving skills. Kannada-speaking candidates will be preferred.

DailyRounds is a healthcare startup focused on organizing “Knowledge of practice of Medicine” and building a community of Doctors (and healthcare professionals). We hold the largest IP (intellectual property) in clinical medicine in India. We hope to put this IP, network, and our best efforts to help Doctors improve how they diagnose and treat. We are a diverse team of 300 people based in Bangalore.

We are product-driven. We believe businesses should scale and be profitable. We stay away from fads and focus on what makes business sense, what can scale, and what can make a positive impact (in that order).

In April 2019 M3 India, the Indian subsidiary of Japanese Healthtech company M3 (one of the largest healthcare networks globally, listed on the Tokyo Stock Exchange), picked up a majority stake in DailyRounds to foray into case-based problem-solving, community platform and medical test preparation business in India.

What would you be doing here?

• As a Backend SDE III, you will own and scale the critical backend systems behind products trusted by millions of healthcare professionals, working closely with Product, Mobile, Web, and DevOps teams in a lean, fast-moving setup where engineers ship, own, and decide.
• Architect systems that scale - Design, develop, and maintain high-performance, scalable backend systems and APIs that power Marrow and Dailyrounds.
• Own features end-to-end - Lead backend development from technical design and code review through deployment and monitoring. You build it, you ship it, you own it.
• Kill bottlenecks before they bite - Identify and drive performance improvements, hunting down issues in existing systems proactively.
• Raise the bar around you - Run code reviews, mentor junior engineers, and champion engineering best practices across the team.
• Ship with the whole team - Partner with frontend, mobile, and infra teams to deliver seamless product experiences that users actually feel.
• Shape what we build next - Drive technical roadmap discussions and system design decisions that define our future.
• Build to last - Ensure high code quality through unit testing, integration testing, and documentation. At our scale, shortcuts are expensive.

The best-fit candidate would have:

• 6–8 years of backend development experience in product-based environments, owning production systems
• Strong expertise in Python (Flask / FastAPI / Django) and building REST APIs & distributed systems
• Strong experience with non-relational databases (e.g., MongoDB)
• Hands-on experience building AI-powered features or applications including LLM integration, RAG pipelines, Agentic AI, or ML models
• Good understanding of system design, backend security, and performance optimisation
• Experience with cloud platforms (AWS/GCP/Azure) and modern infrastructure (Docker, Kubernetes)
• Strong engineering fundamentals with focus on code quality and testing
• The drive to own systems end-to-end and make technical decisions with conviction
• Strong communication skills with experience in technical leadership and cross-team collaboration

Junior Data Scientist (2–3 Years Experience)

• Strong understanding of Probability & Statistics
• Strong educational background in Statistics or Mathematics (degree/course specialization). 
• Knowledge of core Machine Learning algorithms
• Proficiency in Python
• Experience with Natural Language Processing (NLP)
• Understanding of Transformer-based models
• 2–3 years of hands-on Data Science experience
• Good analytical and problem-solving skills

Senior Data Scientist (ML) – 5+ Years

Required Skills:

• 5+ years of experience in Data Science/ML
• Strong knowledge of Probability & Statistics
• Strong educational background in Statistics or Mathematics (degree/course specialization). 
• Good understanding of core Machine Learning algorithms
• Proficiency in Python, PySpark, and SQL
• Experience with Databricks, Azure ML, SageMaker, or Vertex AI
• Hands-on experience in Natural Language Processing (NLP)
• Understanding of Transformer-based models and architectures
• Ability to build, deploy, and optimize ML solutions at scale

Minimum 8+ years of hands-on experience in Site Reliability Engineering (SRE) and/or DevOps.

Proven experience in a Technical Lead/Team Lead role.

Strong expertise in Linux administration and troubleshooting.

Hands-on experience with automation and scripting (Shell, Python, PowerShell, etc.).

Strong knowledge of DevOps tools and CI/CD pipelines.

Experience working on at least one major cloud platform: Azure, AWS, or GCP.

Experience managing production environments with a focus on availability, reliability, monitoring, and incident management.

Strong troubleshooting, problem-solving, and root cause analysis skills.

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

SENIOR PYTHON DEVELOPER

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Pay: Up to ₹800,000.00 per year

Schedule: Day shift (On-site)

Supplemental Pay: Performance bonus, Yearly bonus

Ability to commute/relocate:  JP Nagar, Bangalore: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Experience: Back-end development: 5 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 5 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture (  
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.
•  

We are looking for a skilled Full Stack Developer with 3–6 years of experience in software development, specializing in Python and/or Java. If you have strong programming skills, enjoy solving problems, and want to work on secure and scalable systems, we'd love to hear from you!

Location - Pune, Baner.

Interview Rounds - In Office

Key Responsibilities:

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

Develop and maintain clean and scalable code following best practices

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

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

Debug, optimize, and improve existing systems and codebase

Participate in code reviews and team discussions

Work in an Agile/Scrum development environment

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

Good understanding of OOP principles

Familiarity with RESTful APIs and back-end frameworks

Experience with databases (SQL or NoSQL)

Excellent problem-solving and debugging skills

Strong communication and teamwork abilities

Good to Have:

Prior experience in the security industry

Familiarity with cloud platforms like AWS, Azure, or GCP

Knowledge of Docker, Kubernetes, or CI/CD tools

Familiarity with AI tools and concepts (such as prompt engineering, LLMs, or automation workflows) is a plus 

About CNH

Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.

Role Summary

We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.

The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.

Key Responsibilities

Technical Leadership

• Lead the design, development, and deployment of scalable applications and platforms.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Ensure system reliability, performance, security, and scalability.
• Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.

Team Leadership

• Build, mentor, and manage high-performing engineering teams.
• Conduct performance reviews, coaching, and career development discussions.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.
• Support hiring and talent development initiatives.

Product & Delivery Management

• Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
• Drive sprint planning, prioritization, estimation, and delivery management.
• Ensure timely and high-quality execution of engineering roadmaps.
• Manage risks, dependencies, and technical debt effectively.

Stakeholder Management

• Collaborate with Operations, Clinical, Customer Success, and Business teams.
• Communicate project progress, risks, and outcomes to leadership.
• Support strategic initiatives through technology-driven solutions.

Quality & Compliance

• Ensure adherence to information security, data privacy, and healthcare compliance requirements.
• Establish monitoring, testing, and release management processes.
• Drive automation, observability, and operational excellence.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 8–12+ years of software engineering experience.
• 3–5+ years of experience leading engineering teams.
• Experience building and scaling enterprise-grade applications.

Technical Skills & Expertise

• Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
• Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
• Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
• Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
• Expertise in cloud platforms such as AWS, Azure, or GCP.
• Experience implementing monitoring, logging, and observability solutions.
• Familiarity with modern databases, distributed systems, and high-availability architectures.
• Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
• Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.

Additional Responsibilities

• Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
• Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
• Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
• Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
• Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.

Preferred Candidate Profile

• 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
• Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
• Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
• Experience managing engineering teams delivering mission-critical products at scale.

CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

What we're looking for

Hanomi builds software that automatically generates 2D engineering drawings from 3D CAD models. We've raised venture funding, have paying manufacturing customers across India and internationally, and just shipped drawing automation to production. We're a team of 8 engineers moving fast toward scaling this to thousands of drawings per day. You'll work on real parts that go to real factory floors - where a wrong dimension means a scrapped part and a missed shipment. It's demanding work with real accountability, but if you're the kind of person who gets fired up by solving hard problems across multiple technical domains and seeing a team ship consistently, you'll fit right in.

We're looking for a person to lead engineering execution. This role is on-site at our Bengaluru office.

You'll work directly with our CTO to turn product priorities into shipped software. This isn't a management-from-a-distance role - you'll plan sprints and hold people accountable, but you'll also roll up your sleeves to debug, brainstorm algorithmic approaches, and review PRs with enough depth to catch when something doesn't fit.

Engineering Lead:

In this role, you will:

Own engineering execution across the team:

·        Plan sprints, set timelines, track progress, and hold people accountable

·        Run gate reviews before production deploys and flag risks before they become misses

·        Coordinate between our algo team and platform team

·        Be the person who makes sure things ship by being close enough to the work to know when something's going wrong

Roll up your sleeves and build alongside the team:

·        Debug production issues together with engineers, not delegate and wait

·        Brainstorm algorithmic approaches and review PRs deeply enough to catch integration issues

·        Jump into the codebase when something's blocked, you're not above writing code to unblock a sprint

Bring technical depth across algorithms and platform:

·        Understand mechanical engineering concepts well enough to question whether an approach makes sense for different manufacturing processes

·        Have experience scaling platforms - deployment pipelines, reliability, monitoring, the infrastructure that keeps a product running for paying customers

·        Ideally have worked on desktop applications or integrations with CAD software APIs

Make the team better over time:

·        Give direct, specific feedback - including the uncomfortable kind

·        Know when an engineer needs clearer specs vs more autonomy vs a push

·        Identify process gaps and fix them without adding bureaucracy

Note given that we are a startup, the exact job match will depend on your skills and interest (there is always too much to do!).

Requirements:

·        5-7 years in software engineering, with experience leading teams of 5–10 engineers

·        Strong Python - comfortable reading and contributing to algorithm code

·        Experience scaling platforms that serve real customers with reliability requirements

·        Exposure to mechanical engineering or CAD/PLM domains - you don't need to be a mech engineer, but you should understand what an engineering drawing represents and why correctness matters

·        Desktop application development or API integrations with CAD software is a strong plus

·        You still enjoy building - this is a hands-on leadership role where you're expected to contribute technically

·        Startup experience preferred - you know the difference between useful process and process theater

Preferred Qualifications:

·        Background in 3D / manufacturing

·        Experience with computational geometry / 3D modelling workflows 

·        You've managed engineers who are deep specialists and earned their respect through technical credibility, not just title

·        You use AI tools in your daily workflow - Claude Code, Cursor

2–4 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Strong analytical and debugging skills with the ability to solve complex problems.

Position: Full Stack Developer

Experience: 3+ Years

Location: Bangalore

Job Summary

We are seeking a talented and motivated Full Stack Developer with 3+ years of experience in building scalable web applications using ReactJS, Python, and PostgreSQL. The ideal candidate should have hands-on experience in frontend and backend development, database design, API development, and cloud-based application deployment. The role involves collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, test, and maintain responsive web applications using ReactJS and Python.
• Build reusable frontend components and implement modern UI/UX practices.
• Develop RESTful APIs and backend services using Python frameworks such as FastAPI, Django, or Flask.
• Design and optimize PostgreSQL databases, including schema design, indexing, and query optimization.
• Integrate frontend applications with backend APIs and third-party services.
• Write clean, maintainable, and efficient code following best practices.
• Participate in code reviews, debugging, and performance optimization.
• Collaborate with product managers, designers, and QA teams throughout the development lifecycle.
• Implement authentication, authorization, and security best practices.
• Work with Git-based version control systems and CI/CD pipelines.
• Troubleshoot production issues and provide timely resolutions.

Required Skills

Frontend

• Strong experience with ReactJS, JavaScript (ES6+), HTML5, and CSS3.
• Experience with React Hooks, Context API, Redux, or similar state management libraries.
• Knowledge of responsive design and cross-browser compatibility.

Backend

• Strong proficiency in Python.
• Experience with FastAPI, Django, or Flask frameworks.
• Experience in building and consuming REST APIs.
• Understanding of asynchronous programming concepts.

Database

• Hands-on experience with PostgreSQL.
• Strong knowledge of SQL, query optimization, indexing, and database design.

Tools & Technologies

• Git/GitHub/GitLab.
• Docker and containerization concepts.
• CI/CD pipelines.
• Familiarity with Linux environments.

Hi,

please let me know your interest for the below role

Ansible Automation Developer

Fulltime

Bangalore—Hybrid

Note: No need of devops candidate. client looking for programming or coder candidate like software developer or ansible automation candidate.

The minimum skill expectation for these demands is the below combination:

Ansible (programming + Linux) + Python (programming) + API Programming for CMDB (RESTCONF, NETCONF or other) + Github & CI/CD (assuming it’s common nowadays) + background of coding/managing codebases for Configuring Networking Devices/Services in enterprise/production landscapes (Cisco or any other) + 1. Other skills mentioned in the JD (in the section: SKILL MATRIX) are not mandatory but preferred.

• Design, develop, and implement automation solutions to integrate disparate systems,

ensuring smooth and efficient end-to-end workflows.

• Collaborate closely with stakeholders to understand requirements and provide scalable

integration solutions using Ansible, ServiceNow, GitHub, etc.

• Create and maintain API-based integrations.
• Write Python scripts / logic within Ansible playbooks.
• Test and document all integration processes, design decisions, and developed solutions.
• Troubleshoot and resolve system integration and workflow issues, ensuring high levels

of performance and security.

• Continuously monitor and analyse the efficiency of integrated solutions, proposing and

implementing improvements when necessary.

• Participate in regular review sessions with IT peers to discuss best practices, new

technologies, and potential optimizations.

• Offer training and support to other IT team members on integrated systems and

platforms.

• Develop Ansible playbooks for network orchestration.
• Standardize and document network configurations using YANG modelling for Cisco

routers and switches in a design implementation guideline, ensuring alignment with

industry best practices and uniformity across the organization.

• Experience in working in agile environment .
• Background in IT service delivery (ITIL certification preferred).
• Proven technical acumen; ability to bridge tech specifications and business concepts.
• Proficient in WAN, LAN, Wireless LAN, IP - mgt, DNS, DHCP.
• Preferred network related certifications: Cisco DevNet Professional, Cisco CCNP.

0-2 years of software development experience (internships or projects acceptable).

● Proficiency in at least one backend programming language (Python or Golang).

● Strong understanding of object-oriented programming and software fundamentals.

● Knowledge of data structures, algorithms, and database concepts.

● Familiarity with Linux-based development environments.

● Exposure to Git and version control workflows.

Strong analytical and problem-solving ability.

Are you looking to break out of the silo of pure-tech engineering and build systems that directly move millions in global revenue? If you want to own an entire, high-impact platform end-to-end and see the immediate business value of your code every single day, this is your playground. At Ultrahuman, you will act as a critical bridge between deep engineering and global market execution, turning data intelligence into autonomous, revenue-driving action across 100+ countries. 

About the Company: 

Ultrahuman is one of the world's fastest-growing wearable companies. The Ultrahuman Ring AIR — the world's lightest sleep-tracking smart ring — sells in 100+ countries. We operate like a product company in every function, and marketplaces is no exception: our Amazon business across the UK, Germany, Canada, Australia, India, the UAE and beyond runs on uh-amazon, an in-house platform we built ourselves. 

Role: Marketplace Platform Engineer 

Location: Begur, Bengaluru 

Schedule: Hybrid. 

Marketplace Platform Engineer 

Turn a read-only intelligence platform into the hands that run a global Amazon business. 

Why this role exists 

uh-amazon already does the seeing: a fleet of agents producing daily intelligence across every marketplace, an automated fulfillment middleware that intercepts and routes every order, and a self-hosted agent platform the team uses without writing code. But it writes almost nothing back to Amazon — every ads change, price correction, and listing push is still done by hand. That write side is unbuilt, and it is worth more than the entire team's cost: the daily briefs already flag large sums of recoverable ad spend that no one has the hands to recover. You will be the platform's owner and the team's force multiplier. 

What you'll own 

• The uh-amazon codebase end-to-end — the FastAPI middleware, the agent fleet, the self-hosted agent platform, and the deploy pipeline 
• The write side, behind staged approval gates — the order-management bridge first, then ads execution, repricing, and listing-push agents, each earning the right to act 
• Platform trust — kill the false-positive classes and fix the chronically failing agents, so the team acts on the briefs instead of second-guessing them 
• Operator self-serve — the team adds and tunes agents through the platform without touching code 

Your first 90 days 

• Ship the order-management bridge that removes the last manual step in fulfillment 
• Ship the first ads-execution agent behind a human approval gate, working the platform's existing recommendation lists 
• Eliminate the top false-positive classes in the daily briefs 

What we're looking for 

• Strong Python (FastAPI or similar) and real API-integration depth — OAuth, rate limits, retries, idempotency; you have built against messy third-party APIs in production 
• LLM-agent experience — you have built tool-using agents or LLM pipelines, designed prompts and tool schemas, and debugged why a model did something 
• Ship-fast evidence — small PRs, production ownership, comfort being the only engineer on a system 
• Comfort owning production writes against a live revenue channel, with gates and audit trails you design 

Strongly preferred 

• Amazon SP-API or Ads API experience specifically — this collapses your ramp to near zero 
• E-commerce domain (order management, marketplaces, repricing, feeds); container/orchestration experience 
• A public GitHub with real contributions 

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 and 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.

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.

Tech Stack :

• Python (Django / Flask / FastAPI )
• PostgreSQL / MySQL
• Redis / caching systems
• REST APIs

Job Responsibilities :

• Develop and maintain scalable, robust backend systems using Python frameworks.
• 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.

Job Requirements :

• 1+ years of experience with Python and Django / Flask / FastAPI.
• 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

Experience: 2+ Years

Mandatory Skills: Data Analysis, Data Mining, Data Validation, Python, SQL, Power BI, Advanced Excel

Data Analyst

We are looking for 1 Developer/Analyst to support data analysis, data mapping, and report automation initiatives. This is an entry-level role with structured training, ideal for candidates who are detail-oriented, proactive, and capable of working independently in a fast-paced environment.

Key Responsibilities

• Perform data analysis and data validation across various datasets.
• Execute data mapping activities between source and target systems.
• Support report automation and templating tasks (training will be provided).
• Participate in User Acceptance Testing (UAT) to validate report outputs and workflows.
• Manage multiple report automation tasks simultaneously with strong attention to timelines.
• Proactively provide status updates, identify risks, and escalate blockers in a timely manner.
• Ensure high-quality delivery without requiring follow-ups or supervision.
• Collaborate closely with the client team (onshore/offshore alignment as applicable).

Key Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, IT, or a related field.
• Strong analytical and problem-solving skills.
• Basic understanding of data handling, Excel, and reporting concepts.
• Ability to manage multiple tasks and meet committed deadlines.
• Strong communication skills (verbal and written).
• High level of ownership, accountability, and self-driven execution.

Preferred Skills (Good to Have)

• Exposure to Seismic and/or SmartDX platforms.
• Familiarity with reporting tools, data transformation, or automation concepts.
• Prior internship/project experience in data analysis or reporting.

Passionate about education? Join us at CK-12 !!

CK-12 (www.ck12.org) is on the lookout for talented, creative, and dedicated people to join our mission to provide great education to students around the world. We are looking for candidates to join our office in Bangalore.

We have a strong education platform that has served over 352+ Million users, have got over 2.88+ Billion questions answered, and have more than 350 thousand customized Flexbooks. We have embarked on an exciting journey to build an AI-powered student tutor and Teacher Assistant to build the next generation of learning platforms.

About CK-12 Foundation

CK-12’s mission is to provide free access to open-source content and technology tools that empower students as well as teachers to enhance and experiment with different learning styles, resources, levels of competence, and circumstances.

To achieve this noble and ambitious vision, we at CK-12 are challenging the traditional model of education to transform it dramatically. Technology has opened up lots of opportunities to revolutionize education for the benefit of students, teachers and parents.

We have chosen to be non-profit so that we can effectively realize our mission and do the right thing! It also provides us with the ability to experiment with big and bold ideas. CK-12 is backed by Vinod Khosla, a renowned technology venture capitalist.

At CK-12, you’ll experience the benefits of working in a dynamic, entrepreneurial, innovative and non-bureaucratic environment where you will get a lot of cool things done than you ever imagined! We are a small group of passionate folks who are determined to disrupt the current form of education.

Technology is key to scale education and we deeply believe in it. Come develop great solutions on our cloud-based (AWS) and AI-first platform delivering rich and interactive content.

Does our mission, people and technologies excite you? If the answer is YES! and you are a great technologist who will challenge status-quo (no order takers please!) by innovating, please come join us! Together, we will change the world!

Check out our latest product offerings

• Introducing Flexi 2.0
• Flexi, our AI-powered Student Tutor – https://www.flexi.org/
• AI-powered Teacher Assistant – https://www.ck12.org/pages/teacher-assistant/

Location: https://goo.gl/maps/NkA2Hr8JhtE3raWr5

Backend Engineer

Basic

● Design, maintain, and monitor infrastructure for data products

● Design and develop RESTful APIs for the data infrastructure

● Design, implement and drive adoption of new analytic technologies and solutions

● Work closely with data scientists, front end engineers and peers to gather requirements and

develop solutions

● Handle and resolve issues escalated from the production operational environment.

● Troubleshoot performance, reliability, and scalability issues.

● Excellent Problem solving skills

● A Code Craftsman that follows best software development and coding practices delivering

understandable and maintainable code with thorough unit tests coverage

Requirements

● 6+ years of development experience with Java, Scala, and/or Python

● Experience with writing and executing queries on RDBMS and NoSQL databases. Working knowledge of MongoDB, MySQL. We are not looking for a DBA.

● Experience with ElasticSearch, OpenSearch, Vector Embeddings, and large-scale search systems.

● Experience designing and operating high-throughput, low-latency backend services in production environments.

● Experience with horizontal and vertical scaling strategies, load balancing, caching, rate

limiting, and performance optimization.

● Experience identifying and resolving application bottlenecks through profiling, monitoring, and performance tuning.

● Experience in virtualization technologies and deployment frameworks (familiarity with working on UNIX shell, Jenkins.)

● Bachelors or masters degree in computer science or equivalent

Desired

● Experience working with FastAPI/Pylons Web Framework.

● Familiarity with messaging and distributed processing systems such as RabbitMQ, Kafka, SQS, or Celery.

● Experience designing systems to support millions of requests, large datasets, and high-concurrency workloads.

● Adept at AI Coding assistants, leveraging them beyond prompting. Working experience in Skill and tool development and usage in AI Coding tools.

● Experience with AWS EC2, Redshift, RDS, S3

Strong Senior AI/ML / GenAI / AI Engineer Profiles

Mandatory (Experience 1) – Must have minimum 5+ years of total software development experience, with at least 2+ years working on Gen AI / AI / LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

Key Responsibilities

AI/ML & Python Development

• Design, develop, and integrate AI-powered solutions and intelligent features using Python.
• Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval and contextual AI responses.
• Develop AI applications using modern frameworks and tools such as LangChain, LlamaIndex, and AI Agents/Autonomous Workflows.
• Integrate Large Language Model (LLM) APIs, including OpenAI and similar platforms, into enterprise-grade applications.
• Design, implement, and manage vector databases to enable semantic search and AI-driven information retrieval.
• Collaborate with cross-functional teams to evaluate, fine-tune, and optimize AI models for performance, scalability, and accuracy.
• Stay updated with emerging AI technologies, frameworks, and industry best practices to drive innovation.

If your code breaks here, it doesn’t just throw an error.

Jobs don’t get fulfilled. Farmers lose trust during crop windows that don’t wait.

We’re hiring a Software Development Engineer in Bangalore to build the systems that keep real-world operations running — from customer-facing products to the internal tools field teams depend on every morning.

→ Design, build, and ship across the stack: backend services, APIs, mobile/web field apps, and operational dashboards

→ Build systems for deployment, attendance, check-in/check-out, work verification, and issue resolution

→ Make products work in low-connectivity, field-heavy conditions with offline-first and vernacular-first experiences

→ Own features end to end — from design discussions to deployment to on-call

→ Work closely with Product, Ops, and field users to solve what’s actually happening on the ground

→ Contribute to data pipelines and analytics that power planning, forecasting, and unit economics

• 1–5 years building production software

• Comfortable across the stack, or deep in one area and ready to stretch

• Strong ownership mindset — you ship, debug production issues, and care if it works for the user

• Pragmatic with trade-offs and able to balance speed with quality

• Bonus if you’ve built for low-bandwidth, offline-first, next-billion-user contexts

Stack: Python, Django, React, PostgreSQL, Redis, AWS/GCP, Docker, CI/CD

You’ll be building software for the real economy — farmers, labour, livelihoods — not another dashboard for another SaaS tool.

📍 Bangalore (on-site) | Reporting to CTO

If this sounds like you — or someone you’d bet on — tag them in the comments or DM me.

#Hiring #SoftwareEngineer #BackendEngineer #FullStackDeveloper #BangaloreJobs #TechJobs

Join Hutech Solutions – Innovate, Lead, and Transform!

We are a global AI-driven software services and product engineering powerhouse, founded and led by

visionary technology leaders from Walmart. We are redefining the future of technology by building

next-gen solutions that empower businesses across Banking, Finance, eCommerce, and Logistics

industries.

At Hutech, we don’t just build software—we create impact. Our culture fosters innovation, creativity,

and continuous learning, enabling our team to push boundaries and solve real-world challenges using

cutting-edge AI tools and techniques.

Position Summary

We are looking for a skilled Data Engineer with strong expertise in Amazon Redshift, advanced SQL,

and data modelling to design, build, and optimize scalable data platforms on AWS. The ideal

candidate will play a key role in developing reliable data pipelines, enforcing data quality standards,

and enabling analytics and reporting across the organization.

Key Responsibilities

● Design, build, and optimize data models (fact/dimension, star/snowflake schemas) with a

strong focus on performance and scalability.

● Develop and maintain complex SQL queries in Amazon Redshift for analytics, reporting, and

downstream consumption.

● Optimize Redshift performance using distribution styles, sort keys, query tuning, and workload

management (WLM).

● Build and orchestrate scalable data pipelines using AWS Glue, Amazon EMR, Apache Spark,

and Airflow.

● Implement data quality checks, validation rules, and monitoring frameworks to ensure

accuracy and consistency.

● Work closely with analytics, BI, and business teams to translate requirements into robust data

solutions.

● Manage and optimize data storage and movement using Amazon S3.

● Ensure best practices in data security, governance, and documentation.

● Troubleshoot data issues and provide root-cause analysis and long-term fixes.

Required Qualifications

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

● 3–5 years of hands-on experience in data engineering

● Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift

● Proven expertise in data modeling for analytical workloads

● Strong understanding of AWS data services, including: Amazon Redshift, AWS Glue, AmazonS3, Amazon EMR

● Experience with data pipeline and workflow orchestration tools such as Apache Airflow

● Hands-on experience with Apache Spark

● Proficiency in at least one programming/scripting language such as Python, Java, or Scala

● Solid understanding of data quality, validation, and best practices

Nice to have

● Experience designing large-scale analytics and reporting platforms

● Familiarity with BI tools and downstream analytics use cases

● Experience with cost optimization and performance tuning on AWS

● Exposure to CI/CD for data pipelines

Key Skills

● Amazon Redshift (SQL – Advanced)

● Data Modeling (Analytics-focused)

● AWS (S3, Glue, EMR)

● Apache Airflow

● Apache Spark

● Python / Java / Scala

● Data Quality & Optimization

Location: Bangalore (Hybrid/Onsite)

Experience: 5–8 Years

Work location -Manyata Tech park

Job Description

We are seeking a skilled GCP Data Engineer with 5–8 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in Google Cloud Platform (GCP), Python, PySpark, SQL, and Data Engineering concepts.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines.
• Develop and maintain data processing solutions using Python and PySpark.
• Work with large-scale structured and unstructured datasets.
• Implement data ingestion, transformation, and data quality frameworks.
• Build and manage data solutions on Google Cloud Platform (GCP).
• Develop and optimize complex SQL queries, stored procedures, and data models.
• Collaborate with business stakeholders, data analysts, and cross-functional teams to understand data requirements.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Ensure data governance, security, and compliance standards are followed.
• Support data warehousing and analytics initiatives.

Required Skills

• 5–8 years of experience in Data Engineering.
• Strong programming experience in Python.
• Hands-on experience with PySpark and distributed data processing.
• Strong expertise in SQL and database performance tuning.
• Experience with Google Cloud Platform (GCP) services such as:
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Cloud Composer
• Pub/Sub
• Experience in designing ETL/ELT workflows.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control tools such as Git.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Exposure to orchestration tools like Airflow/Cloud Composer.
• Experience working in Agile/Scrum environments.
• Knowledge of streaming data processing and real-time data pipelines.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.