817 SQL Jobs in Bangalore (Bengaluru) | SQL Job openings in Bangalore (Bengaluru)

Hiring: Java & Angular Full Stack Developers

Location: Bangalore

Work Model: Hybrid – 3 Days per Week Onsite

Experience: 3–5 Years and 5–7 Years

Key Skills: Java 8+, Spring Boot, Angular, TypeScript, JavaScript, HTML5, CSS3, REST APIs, Microservices, JPA/Hibernate, SQL, JUnit, Mockito, Git and CI/CD.

Role & Responsibilities:

Looking for hands-on Java & Angular Developers with strong backend and frontend development experience to build secure, scalable enterprise applications.

Candidates should have experience in Java, Spring Boot, REST API development, Angular components, services, reactive forms, RxJS, database integration, unit testing, debugging and performance optimization.

Good understanding of microservices, Agile methodologies, code reviews and CI/CD practices is expected.

Good to Have: Docker, Kubernetes, AWS/Azure/GCP, Kafka, NgRx, MCP servers, GitHub Copilot, prompt engineering and AI-assisted development.

Strong problem-solving skills, good communication, hands-on coding expertise and the ability to work collaboratively with cross-functional teams.

Role Overview

We are looking for a driven and analytical Product Manager to own end-to-end product initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk, and Operations teams to build scalable, customer-centric solutions that drive measurable business impact.

Key Responsibilities

• Own the product lifecycle from problem discovery → PRD → launch → iteration
• Write clear and structured PRDs, user stories, and acceptance criteria
• Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business teams
• Define product roadmaps and prioritize based on impact and feasibility
• Analyze product performance, funnels, and user behavior using data
• Drive experimentation, A/B testing, and continuous optimization
• Translate business goals into scalable product solutions

Required Skills & Qualifications

• 3–7 years of Product Management experience (preferably in fintech/startup environments)
• Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
• Experience working in Agile environments with engineering teams
• Ability to think structurally and solve complex product problems
• Strong stakeholder management and communication skills
• Working understanding of APIs, integrations, and system workflows
• Comfort using AI tools to enhance productivity, documentation, research, and product discovery
• Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency

role: data engineer

Python pyspark, SQL, data engineer

5+yrs

Bangalore/Hyderabad

immediate to 15days.

We are looking for an integration engineer to assist our rapidly growing customer base. As part of our integration team, you will be the primary point of contact for all integrations. You would be responsible for helping our clients integrate with OneFin APIs, configuring our system for clients, and providing ongoing help to them to resolve any issues.

Application form: https://forms.gle/KbbeXxqhwpwnCzcDA

Responsibilities

• Understand and explain APIs to clients. Help clients integrate OneFin APIs. Research and identify solutions to issues during integration.
• Escalate unresolved issues to appropriate internal teams (e.g., software developers).
• Become a product expert for clients.
• Configure the OneFin system for customized usage by clients. Identify and write internal and external technical articles or knowledge-base entries, like typical troubleshooting steps, workarounds, or best practices, how-to guides, etc.
• Automate the solution of common issues using Python.
• Help live clients resolve issues and coordinate with the development team for issue resolution.

Requirements and Qualifications:

• BS/B.Tech. in Computer Science, Engineering, or an equivalent.
• Strong verbal and written communication skills.
• Experience in writing code in Python.
• Understanding web-based systems.
• Proficient in understanding and writing JSON.
• Experience in SQL databases.
• Experience working with REST APIs.
• Excellent analytical skills, passion for pinning down technical issues, and solving problems.
• Enjoys a fast-paced startup environment.

Job Description

We are looking for an experienced .NET Full Stack Developer with strong expertise in backend and frontend development. The ideal candidate should have hands-on experience in building, developing, and maintaining scalable web applications using C#, .NET/.NET Core, Angular 16, SQL, PostgreSQL, and AWS.

Key Responsibilities

• Design, develop, and maintain scalable web applications using C#, .NET and .NET Core.
• Develop responsive and user-friendly web applications using Angular 16, JavaScript, HTML, and CSS.
• Develop and integrate RESTful APIs and third-party services.
• Design, write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
• Work with SQL Server and PostgreSQL databases.
• Implement application features following coding standards, security practices, and development best practices.
• Participate in the complete software development lifecycle, including design, development, testing, debugging, deployment, and maintenance.
• Deploy and manage applications using AWS cloud services.
• Develop and maintain CI/CD pipelines for automated build, testing, and deployment.
• Troubleshoot production issues and perform application performance optimization.
• Collaborate with developers, QA teams, business analysts, and other stakeholders to understand requirements and deliver quality solutions.
• Participate in code reviews and ensure code quality, scalability, maintainability, and security.
• Work in an Agile/Scrum development environment.

Mandatory Skills

• C#
• .NET / .NET Core
• ASP.NET Core
• Angular 16
• JavaScript
• HTML5 / CSS3
• SQL
• PostgreSQL
• REST API / Web API
• AWS
• CI/CD
• DevOps
• Git

Backend

• C#
• .NET / .NET Core
• ASP.NET Core
• Web API
• RESTful APIs
• Entity Framework / EF Core
• LINQ

Frontend

• Angular 16
• JavaScript / TypeScript
• HTML5
• CSS3
• Responsive UI development

Database

• SQL
• SQL Server
• PostgreSQL
• Complex queries
• Stored Procedures
• Database optimization

Cloud & DevOps

• AWS
• AWS cloud services
• CI/CD pipelines
• Build and deployment automation
• Git / GitHub
• Basic DevOps practices

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience working in Agile/Scrum environments.
• Good knowledge of Git and modern software development practices.
• Experience with application performance tuning and production support.
• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.

Company: Wissen Technology

Position: Databricks Engineer

Experience: 6-10 Years

Location: Bengaluru/Mumbai

Employment Type: Full-time

About Wissen Technology

Wissen Technology is a global technology services company focused on delivering innovative software engineering, data, and technology solutions to leading enterprises. The company works with clients across industries to build scalable, high-performance technology platforms and solve complex business and technology challenges.

With a strong focus on engineering excellence, innovation, and collaboration, Wissen Technology brings together skilled technology professionals across areas such as software engineering, data engineering, cloud, analytics, and digital transformation.

At Wissen Technology, employees have the opportunity to work on challenging technology projects, collaborate with experienced engineering teams, and contribute to solutions that create measurable business impact.

Key Responsibilities

• Design, develop, and maintain scalable data processing applications using Python, PySpark, and Spark.
• Develop and optimize data pipelines and workflows on Databricks.
• Collaborate with data engineers, data scientists, business stakeholders, and other technical teams to understand requirements and deliver high-quality solutions.
• Ensure data integrity, quality, performance, and reliability across data processing pipelines.
• Write clean, maintainable, scalable, and efficient code following established coding standards and best practices.
• Perform data analysis and implement appropriate data validation and quality checks.
• Monitor, troubleshoot, and optimize performance issues across data workflows and pipelines.
• Work with relational databases and develop efficient SQL queries for data extraction and transformation.
• Participate in code reviews, testing, deployment, and continuous improvement of data engineering solutions.
• Use Git/version control and follow established software development and deployment practices.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven experience as a Databricks Developer, Data Engineer, or similar role.
• Strong hands-on expertise in Apache Spark and PySpark.
• Strong programming skills in Python; experience with Scala is an advantage.
• Strong proficiency in SQL and hands-on experience with relational databases.
• Practical experience developing and optimizing data pipelines and data processing applications.
• Familiarity with Git and version control systems.
• Strong understanding of data engineering concepts, data transformation, and data validation.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Camstar (Siemens Opcenter) position with NAM Info.

This role will be permanent with NAM info and deploy to client location BANGALORE~PUNE~HYDERABAD.

Work Mode: WORK FROM OFFICE

Notice Period: Immediate to 15 days Max

A decent hike can be provided based on current CTC

Role Descriptions:

Exp Range: 2 – 4 years

Key Responsibilities*

Forgerock Identity Management Role Descriptions: Strong hands-on experience with Ignition SCADA (Vision andor Perspective) Proficiency in Python scripting (Jython) Experience with SQL and relational databases Knowledge of industrial communication protocols (OPC UA| Modbus| EthernetIP) Understanding of SCADA| HMI| MES concepts Experience integrating with PLCs and industrial devices

Essential Skills: Camstar siemens

Desire candidate

• Candidate should have valid PF.

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

9+yrs

Bangalore/Hyderabad

immediate to 15days.

Job Description – Azure Data Engineer

Role: Azure Data Engineer

Experience: 9+ Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Interview Process: 1st Round – Virtual | 2nd Round – F2F

Mandatory Skills

• Python
• PySpark
• SQL
• Azure Data Engineering

Job Description

We are looking for an experienced Azure Data Engineer with 9+ years of experience and strong hands-on expertise in Python, PySpark, SQL, and Azure Data Engineering.

Key Responsibilities

• Develop and maintain scalable data engineering solutions using Azure.
• Build and optimize data processing pipelines using PySpark and Python.
• Write complex SQL queries for data extraction and transformation.
• Work with Azure data services and cloud-based data platforms.
• Perform data processing, transformation, and integration.
• Troubleshoot data pipeline and production issues.
• Collaborate with technical and business teams to deliver data solutions.

Preferred: Immediate to 15 Days joiners.

Business Intelligence Analyst - 2

Planview is the world leader in enterprise software planning for enterprise-wide deployment strategies, processes and resources. More than 4000 customers, among the world's largest and most respected companies, have successfully implemented Planview software to optimize their enterprise portfolio management, project, portfolio and resource management, business intelligence and expense tracking processes. We have had stable, organic growth for years and now need reinforcement.

Job Summary:

The Planview BI Team is seeking an experienced Business Intelligence Analyst – 2 to support, troubleshoot, optimize, and enhance business intelligence and reporting solutions built on Planview products.

This role focuses on advanced BI support across Power BI, Microsoft Fabric, SQL Server, SSAS, SSRS, OData, Dataflows, Data Pipelines, Data warehousing, and Data models. The BI Analyst – 2 will handle complex technical issues, perform advanced root-cause analysis and performance tuning, and work closely with customers and internal teams to deliver scalable BI solutions.

Key Responsibilities:

· Troubleshoot and resolve complex issues involving data accuracy, refresh failures, report behavior, connectivity, security, and performance across Power BI, SSRS, SSAS, SQL Server, OData, and Data warehousing layers.

· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.

· Support, develop, maintain, and optimize Power BI semantic models, DAX measures, Power Query, datasets, workspaces, gateways, refreshes, and Row-Level Security.

· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.

· Develop and troubleshoot advanced SSRS/paginated reports, including parameters, subreports, drill-through, expressions, pagination, subscriptions, and export formats.

· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.

· Troubleshoot ETL/ELT processes, data pipelines, Dataflows, refresh failures, and data transformation issues across BI environments.

· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.

· Support Planview Automart, Datamart, and data warehouse implementations and ensure data consistency across source, warehouse, semantic, and reporting layers.

· Perform end-to-end root-cause analysis and performance optimization across the BI technology stack.

· Collaborate with customers, Product, Engineering, Hosting, and Support teams on complex technical issues and escalations.

· Provide technical guidance and mentoring to BI Analyst – 1 team members and contribute to BI best practices and documentation.

Required Skills & Qualifications:

·      5+ years of professional experience in Business Intelligence Development, BI Support, Data Analytics, or a related field.

·      Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.

·      Advanced knowledge of SQL Server and T-SQL, including query optimization and performance tuning.

·      Strong experience with SSRS and enterprise reporting.

·      Experience with SSAS Tabular and/or Multidimensional models.

·      Experience with Microsoft Fabric, particularly Data Pipelines, Dataflows, Lakehouse/Warehouse, and Power BI.

·      Experience working with OData and enterprise data integration.

·      Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.

·      Experience troubleshooting Power BI Service, gateways, refreshes, security, and semantic models.

·      Strong analytical, troubleshooting, and root-cause analysis skills.

·      Proven ability to work directly with customers and communicate technical concepts to both technical and non-technical stakeholders.

·      Experience with tools such as DAX Studio, Tabular Editor, Performance Analyzer, Query Store, or SQL Profiler is an advantage.

• Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.

We are looking for a Data Science & Machine Learning Senior Associate with 3–5 years of relevant experience in data science, machine learning, and analytics. The candidate will be responsible for developing predictive models, analyzing complex datasets, building scalable ML solutions, and supporting production-grade data science applications on cloud platforms.

• Develop and implement machine learning and predictive analytics models.
• Perform data analysis, statistical modeling, and optimization to solve business problems.
• Build demand forecasting and predictive models using time-series and other advanced techniques.
• Work with large datasets using Python, SQL, PySpark, and cloud-based data platforms.
• Develop and maintain scalable data pipelines for ML model development and deployment.
• Implement MLOps practices including model deployment, monitoring, retraining, and data-drift detection.
• Collaborate with software engineers, product teams, and business stakeholders to convert business requirements into analytical solutions.
• Validate models for accuracy, robustness, bias, and production readiness.
• Create meaningful visualizations and communicate analytical insights to technical and non-technical stakeholders.

• Python
• SQL
• Data Science & Machine Learning
• Predictive Modeling
• Statistical Analysis
• Machine Learning Algorithms
• Optimization Techniques
• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Dataproc
• Data Fusion
• Cloud SQL
• Airflow
• PySpark
• PostgreSQL
• Terraform
• Tekton
• APIs
• MLOps

• Java

• Demand Forecasting
• Time-Series Analysis
• Neural Networks
• Ensemble Methods
• Support Vector Machines (SVM)
• Regression and Cluster Analysis
• ML Model Testing
• Bias Detection and Data Drift Monitoring
• Production ML Deployment
• QlikSense
• Automotive or Supply Chain Analytics

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field.Master's degree in a relevant quantitative or technical field is preferred.

🚀 Hiring: .NET Developer + Angular

📍 Location: Mumbai and Hyderabad

💼 Experience: 6+ Years

Key Responsibilities:

Develop and maintain scalable web applications using .NET Core and Angular.

Design and develop RESTful APIs and backend services.

Build responsive and user-friendly front-end applications using Angular.

Work with SQL Server and Entity Framework Core.

Collaborate with cross-functional teams to deliver high-quality solutions.

Troubleshoot, optimize, and enhance existing applications.

Mandatory Skills:

✅ .NET Core / .NET 6+

✅ C#

✅ ASP.NET Core / Web API

✅ Angular 14+

✅ TypeScript / JavaScript

✅ HTML5 / CSS3

✅ REST API

✅ Entity Framework Core

✅ SQL Server

✅ Git / GitHub

#Hiring #DotNetDeveloper #AngularDeveloper #DotNet #Angular #CSharp #MumbaiJobs #ITJobs #TechJobs

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

🚨 Hiring: Senior Fullstack Engineer – ServiceNow

Experience: 8–12 Years

Location: Bangalore | Hyderabad | Chennai | Mumbai | Ahmedabad

Work Mode: Hybrid – 2 Days Work From Office Mandatory

Contract: 6 Months

Notice Period: Immediate Joiners Preferred

Shift: 1 PM – 11 PM IST

L1 Interview: In-person Mandatory

🔹 Role Summary

We are looking for a versatile Senior Fullstack Engineer with strong ServiceNow platform development, QA automation, and full-stack skills.

The role involves ServiceNow integration defect resolution, production triage, development, automated testing, release management, and general full-stack maintenance.

🔹 Key Responsibilities

Support / Triage / Defects

• Handle L2 support and escalation tickets.
• Troubleshoot ServiceNow platform and integration issues.
• Resolve L3 defects involving:
• ServiceNow ITSM/CMDB
• Flow Designer
• Scripted REST APIs
• GlideRecord / server-side scripting
• OAuth2 integrations
• Perform root-cause analysis for production incidents and integration issues.

Product Development

• Review peer code across ServiceNow and full-stack applications.
• Develop automated tests using Python and Playwright.
• Perform API testing using Postman and data validation using SQL.
• Manage test cases using Qase.
• Use AI-assisted tools such as Claude, Codex, or similar tools for QA automation.
• Support release management and CI/CD using GitHub Actions.
• Maintain ServiceNow Update Sets/XML exports and release documentation.

Customer Engineering

• Support customers in diagnosing technical issues.
• Troubleshoot ServiceNow integration problems.
• Handle general technical maintenance as a full-stack developer.

🔹 Required Skills

ServiceNow

• 6+ years hands-on ServiceNow development
• Flow Designer
• Scripted REST APIs
• Business Rules
• GlideRecord / Server-side scripting
• ITSM
• CMDB
• OAuth2 integrations
• ServiceNow CI/CD

Full Stack

• React.js
• TypeScript
• JavaScript
• REST APIs
• API-driven backend development

QA / Automation

• Python
• Playwright
• Automated testing
• Postman
• SQL
• Qase

DevOps

• Git
• GitHub
• GitHub Actions
• CI/CD
• Release management

🔹 Preferred Qualifications

• ServiceNow CSA / CIS certifications
• Semantic versioning and release/changelog practices
• Customer-facing support experience
• On-call support experience

🔹 Tools & Technologies

GitHub | JIRA | ServiceNow | Qase | Postman | Playwright | Python | React | TypeScript

The role

A working product and a working deployment are two different things. You are the person who closes that gap.

You sit inside the client's head office. You get the deployment live, you get their teams using the dashboards, and you own whether the AI is returning something worth acting on. Every client is different: different languages on the floor, different store noise, different vocabulary for the same product, different CRM, different idea of what a good conversation looks like. The core platform does not change for each of them. You are the layer that makes it fit, and you are the one the client meets.

You are encouraged to spend time in stores. The engineers who do the best work here are the ones who have stood on a shop floor and watched where the pitch and the pipeline actually break. Nobody will make you go. You will also spend real time in the codebase, because you fix what you find rather than filing it.

What you build has a commercial edge to it. A pilot converts when the client sees the result they were promised, and an account grows when a second team inside it sees what is already sitting in their data. Both of those outcomes are yours to deliver, not somebody else's to chase.

How you will work

You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.

What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.

What we are looking for

Must have

• 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
• Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
• Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
• The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
• Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
• An eye for where a deployment turns into more business, and the willingness to raise it yourself
• Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
• Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
• The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

anything that survives noisy real-world recording

Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

and it worked

Click "Apply Now" in https://gosuperedtech.com/career/senior-fullstack-developer to apply

Role Overview

As a Senior Fullstack Developer at GoSuper, you’ll help build and ship features across both web and mobile platforms. You’ll work with React, Next.js, React Native, and Node.js to deliver scalable, user-friendly experiences that power real learning outcomes.

You’ll collaborate closely with designers, product managers, and other engineers to bring ideas to life — from concept to production. This is a hands-on development role with significant impact across the stack.

Core Responsibilities

• Develop, test, and deploy frontend and backend features
• Build responsive web apps using React and Next.js
• Develop mobile apps using React Native
• Consume and integrate APIs built with Node.js/NestJS
• Optimize applications for performance, usability, and reliability
• Collaborate with designers and product teams to implement UI/UX
• Contribute to code quality, reviews, and team knowledge-sharing
• Participate in planning, estimation, and technical discussions

What We Value

• Strong fundamentals in web and mobile development
• Passion for building great user experiences
• Clear communication and collaborative mindset
• Attention to performance, design, and usability
• Ownership — you take responsibility for your work and results

Requirements

• 3+ years of experience as a fullstack or frontend/backend developer
• Proficient with React and Next.js for web development
• Hands-on experience with React Native for mobile apps
• Good understanding of JavaScript/TypeScript
• Experience working with Node.js and API integrations
• Familiar with Git, CI/CD workflows, and cloud environments (AWS/GCP)
• Knowledge of databases (SQL/NoSQL) and caching (Redis)

Bonus Points

• Experience building real-time features (WebSockets, push notifications)
• Familiarity with monorepo tools (Nx, Turborepo)
• Exposure to SaaS, EdTech, or AI-powered products
• Prior experience in a fast-paced startup environment

Compensation

• Competitive + Bonus + ESOPs
• Based on experience, skillset, and contribution. Includes performance-based bonuses and equity participation.

Benefits

• Remote-friendly with optional Bengaluru HQ
• Equity ownership in a high-growth EdTech startup
• Autonomy, learning opportunities, and impactful work
• Fast, feedback-driven culture with top-tier mentorship
• Cult Elite and Cult Play Pass for employees
• Be part of building the future of education

We are looking for a Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/senior-fullstack-developer to apply

Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

Role Overview

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners.

You will develop your skills by contributing to both frontend and backend codebases, primarily using React for building user interfaces and Node.js for backend services.

This role is ideal if you’re passionate about coding, curious about product development, and excited to learn modern technologies while solving meaningful problems.

What You’ll Do

• Write clean, maintainable, and well-tested frontend code using React
• Support backend development and API integrations with Node.js(Express or NestJS)
• Help build responsive, accessible, and performant web and mobile interfaces
• Collaborate with product managers, designers, and senior engineers to understand requirements and deliver features
• Participate in daily standups, sprint planning, and team meetings
• Assist in troubleshooting and debugging issues across the stack
• Learn and apply best practices for version control (Git), CI/CD pipelines, and deployment workflows
• Contribute to code reviews and continuous improvement of code quality
• Continuously improve your skills through feedback, learning sessions, and hands-on experience

What We’re Looking For

• Strong fundamentals in JavaScript and TypeScript
• Proficiency with React — understanding components, state, props, and lifecycle
• Basic experience or knowledge of Node.js backend development
• Understanding of RESTful APIs and how to consume them
• Eager to learn new tools, frameworks, and technologies
• Ability to work well in a collaborative team environment
• Good communication skills to discuss ideas and challenges openly
• Problem-solving mindset and willingness to take ownership of your work

Nice to Have (Not Mandatory)

• Familiarity with Next.js or server-side rendering frameworks
• Exposure to React Native for mobile app development
• Basic understanding of databases like PostgreSQL, MongoDB, or Redis
• Experience with Git or other version control systems
• Personal or academic projects demonstrating your coding abilities
• Internship experience or contributions to open-source projects

What You’ll Gain

• Hands-on experience building Full Stack SaaS products in a real startup environment
• Mentorship from senior engineers and leaders passionate about teaching and growth
• Exposure to cloud infrastructure, DevOps practices, and scalable system design
• Opportunity to contribute to product decisions and see your work impact actual users
• Learning culture that encourages experimentation, feedback, and continuous improvement
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired

Compensation

• Competitive salary with performance-based bonuses
• Equity (ESOPs) – own a piece of the company you help build
• Flexible remote work options with occasional Bengaluru office meetups
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees
• Learning & development budget to support your growth
• Team retreats, virtual hangouts, and a collaborative culture

We are looking for a Junior Full Stack Developer who is eager to kickstart their career in software development. This role offers a fantastic opportunity to grow by working closely with experienced engineers on real product features that impact thousands of learners. Click "Apply Now" in https://gosuperedtech.com/career/junior-fullstack-developer to apply

Click "Apply Now" in https://gosuperedtech.com/career/ai-system-engineer to apply

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

This role offers an opportunity to work closely with experienced engineers, product teams, and AI specialists on real AI-powered systems that support learners, educators, schools, and internal business operations.

At GoSuper EdTech, our cloud infrastructure is built on Google Cloud Platform — GCP. You will get hands-on exposure to GCP-based systems, backend services, AI integrations, deployment workflows, monitoring, cloud storage, databases, and automation pipelines.

You will help design, integrate, test, monitor, and maintain AI-enabled systems using modern tools such as AI APIs, LLMs, automation workflows, backend services, databases, GCP services, cloud deployment tools, and monitoring systems.

This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

What You’ll Do

• Support the development and maintenance of AI-powered systems, tools, and workflows.
• Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
• Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
• Support AI and backend workflows deployed on Google Cloud Platform — GCP.
• Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
• Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
• Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
• Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
• Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
• Help test AI outputs, validate workflows, debug issues, and improve system reliability.
• Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
• Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
• Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
• Participate in daily standups, sprint planning, technical discussions, and team meetings.
• Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
• Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.

What We’re Looking For

• 6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.
• Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.
• Working knowledge of JavaScript, TypeScript, or Python.
• Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.
• Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.
• Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.
• Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.
• Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
• Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.
• Good analytical thinking and problem-solving ability.
• Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.
• Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
• Good communication skills to work with technical and non-technical teams.
• Ownership mindset and willingness to take responsibility for assigned tasks.
• Comfortable working in a fast-paced startup environment.

Nice to Have

• Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
• Basic understanding of prompt engineering and LLM-based workflows.
• Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
• Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
• Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
• Experience with automation tools, workflow builders, webhooks, or integration platforms.
• Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
• Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
• Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
• Experience building chatbots, AI assistants, internal tools, or automated workflows.
• Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
• Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

• Hands-on experience building AI-powered systems in a real startup environment.
• Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
• Mentorship from senior engineers and product leaders.
• Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
• Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
• Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
• Learning culture that encourages experimentation, feedback, and continuous improvement.
• Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

• Competitive salary with performance-based bonuses.
• Equity ownership through ESOPs — own a piece of the company you help build.
• Flexible remote work options with occasional Bengaluru office meetups.
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
• Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
• Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

🚨 Hiring: MicroStrategy Developer

We are looking for an experienced MicroStrategy Developer for a 6-month contract opportunity.

📌 Role: MicroStrategy Developer

💼 Experience: 5+ Years

📍 Location: Bangalore / Hyderabad / Mumbai / Delhi

🏢 Work Mode: Onsite

📅 Contract: 6 Months

Key Requirements:

• 5+ years of hands-on MicroStrategy experience

• Strong experience in MicroStrategy development

• Strong SQL skills

• Experience in BI reporting and dashboard development

• Experience with data warehousing and analytics

• Ability to understand business requirements and develop reporting solutions

• Experience in troubleshooting and supporting MicroStrategy applications

Interested candidates can apply with their updated resume.

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

🚨 WE ARE HIRING – SENIOR DATA ENGINEER | BANGALORE 🚨

Looking for experienced Senior Data Engineers with strong expertise in PySpark, Oracle SQL/PLSQL, and Data Modeling!

🔹 Role: Senior Data Engineer

🔹 Experience: 7+ Years

🔹 Location: Bangalore

🔹 CTC: Up to 26 LPA

🔹 Notice Period: Immediate to 10 Days Preferred

💻 Mandatory Skills

✅ PySpark

✅ Oracle SQL / PL/SQL

✅ Data Modeling & Design / Modernization

✅ Python

✅ ETL

✅ Data Pipelines

⚙️ Good to Have / Ecosystem Skills

✅ Kafka

✅ Hadoop

✅ AWS / Azure / GCP

✅ Git

✅ JIRA

📌 Key Responsibilities

• Develop and maintain scalable data pipelines using PySpark

• Work extensively with Oracle SQL/PLSQL for data processing and transformation

• Design and implement data models and data architecture

• Work on data design and modernization initiatives

• Develop and optimize ETL processes and data pipelines

• Handle large volumes of data using PySpark and Python

• Work with technologies such as Kafka, Hadoop, and Cloud platforms

• Collaborate with cross-functional teams to deliver scalable data solutions

• Use Git and JIRA for version control and project tracking

📩 Interested candidates can share their updated CV along with:

Total Experience:

Relevant PySpark Experience:

Relevant Oracle SQL/PLSQL Experience:

Data Modeling Experience:

Current Location:

Notice Period:

Current CTC:

Expected CTC:

#Hiring #DataEngineer #SeniorDataEngineer #PySpark #Oracle #PLSQL #DataModeling #Python #ETL #DataPipelines #Kafka #Hadoop #AWS #Azure #GCP #BangaloreJobs #ITJobs #TechJobs #ImmediateJoiners

Role Overview

We are looking for a Java Full Stack Developer with Python experience who has strong hands-on experience in backend and frontend development.

Key Responsibilities

• Develop and maintain applications using Java, Spring Boot and Microservices.
• Build and integrate REST APIs.
• Develop full-stack applications using React.js or Angular.
• Use Python for application development, automation, or backend services.
• Work with SQL databases and perform database-related development.
• Participate in design, development, testing, and deployment of applications.
• Collaborate with cross-functional teams to deliver scalable solutions.

Required Profile

• Strong experience in Java Full Stack Development.
• Hands-on experience with Spring Boot and Microservices.
• Good experience in Python.
• Strong knowledge of REST APIs and SQL.
• Experience with React.js or Angular for UI development.
• Candidates should have genuine Full Stack Development experience.

Product Manager – AI/GenAI

Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.

What you'll own

• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.

• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more 

out of the signal the field teams already carry than anyone does today.

• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.

• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.

• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.

Must-haves

• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.

• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.

• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.

• Customer discovery skill — and the resourcefulness to apply it 

indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories, 

and product usage — because you won't have direct customer access on day one.

• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.

Nice-to-have

• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.

• 0-to-1 or turnaround experience — comfort building the function, not just running it.

• Experience selling into or building for regulated / data-sensitive enterprises

Job Summary:

Looking for a Senior Software Engineer with strong experience in .NET, C#, ASP.NET, Angular/React, and SQL Server to develop and maintain scalable web applications.

Mandatory Skills:

• C#, .NET / ASP.NET, MVC
• Angular / TypeScript, HTML, CSS, JavaScript
• SQL Server / T-SQL
• RESTful APIs / Web API / Web Services
• Git / version control
• Application development, testing & production support
• Troubleshooting and resolving application issues
• Agile/Scrum environment

Good to Have:

• Azure/AWS
• CI/CD & DevOps
• Jenkins, Docker
• Microservices
• Unit Testing / TDD
• JIRA / SVN / TFS

Key Responsibilities:

• Develop, test and maintain .NET web applications.
• Build and enhance front-end applications using Angular/React.
• Troubleshoot production and application-specific issues.
• Collaborate with business, operations and functional teams.
• Participate in code reviews and SDLC activities.
• Prepare technical and project-related documentation.

SAS 9.4 Administrator – Job Description

Location: WFO – Immediate Joiner

Experience: 5+ Years

Key Responsibilities:

• Administer and support SAS 9.4, with hands-on experience in SAS 9.4 M7/M8/M9 environments.
• Manage and maintain SAS Grid platforms, including installation, configuration, monitoring, and troubleshooting.
• Hands-on experience with SAS Viya 3.x or Viya 4.x environments.
• Perform SAS application, server, user, access, and environment administration.
• Monitor system performance, troubleshoot issues, and support incident/problem resolution.
• Work with Linux/Unix environments for administration, scripting, and troubleshooting.
• Manage and support Oracle and SQL databases integrated with SAS environments.
• Perform deployments, upgrades, patching, configuration changes, and environment maintenance.
• Coordinate with application, database, infrastructure, and support teams for issue resolution.
• Prepare technical documentation and follow operational procedures and security standards. 

About AbleCredit

Anyone can build an AI demo. Building AI systems that are reliable, observable, secure, and trusted by enterprise customers is an entirely different challenge.

At AbleCredit, we're building an execution platform that combines AI models, APIs, business rules, human decisions, and enterprise systems into production workflows. Every workflow needs to be fast, resilient, auditable, and easy to extend. We’re solving hard problems- come join us while we build this rocketship.

The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IITB, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain).

About the Role

AbleCredit is looking for a detail-oriented RevOps Analyst to help scale the systems, data, and processes that power our go-to-market engine. You will sit at the intersection of Sales, Customer Success, Marketing, and Product, ensuring that our CRM, pipeline data, and reporting infrastructure give leadership a single, reliable view of the revenue funnel — from first outreach to bank and NBFC clients, through to renewal and expansion.

This is a high-visibility role for someone who enjoys working with data, is comfortable navigating ambiguity in a fast-growing startup, and wants to build the operational backbone of a GenAI platform that serves India's lending ecosystem.

Key Responsibilities

• Own the day-to-day administration of HubSpot, including data hygiene, deduplication, field mapping, pipeline stage governance, and user access management.

• Consolidate, clean, and standardize data arriving as files from multiple sources (e.g., partner/lender exports, internal team trackers) and reconcile it with HubSpot to maintain a single source of truth.

• Build and maintain dashboards and reports that track pipeline health, conversion rates, sales cycle length, forecast accuracy, and revenue against targets for the leadership and GTM teams.

• Partner with Sales and Customer Success leaders to support territory planning, account segmentation, quota tracking, and pipeline reviews for AbleCredit's bank and NBFC customers.

• Document and continuously improve lead-to-cash processes — lead routing, lead scoring, deal desk approvals, contracting, and handoffs between Sales, Onboarding, and Customer Success.

• Analyze funnel performance and customer data to surface trends, bottlenecks, and opportunities, and translate findings into clear, actionable recommendations for stakeholders.

• Support monthly/quarterly revenue forecasting and business reviews by consolidating data from CRM, finance, and product usage sources.

• Evaluate, implement, and maintain the broader RevOps tool stack (CRM, sales engagement, BI/reporting, contract management) and manage integrations between these systems.

• Act as a cross-functional point of contact for data requests, ad hoc analyses, and process troubleshooting from Sales, Marketing, Customer Success, and Finance.

• Maintain data accuracy and compliance standards appropriate for a platform operating in the regulated BFSI (banking, financial services, and insurance) space.

What Are We Looking For?

• Bachelor's degree in Business, Economics, Engineering, Statistics, or a related field.

• 4+ years of experience in RevOps, Sales Operations, or a related function; prior experience at a B2B SaaS, fintech, or BFSI-facing company is a plus.

• Strong proficiency in Excel/ Google Sheets; working knowledge of SQL and comfort querying and interpreting large datasets.

• Hands-on experience with HubSpot and BI/ visualization tools (e.g., Looker, Power BI, Tableau, or Metabase).

• Sharp analytical and problem-solving skills, with the ability to translate raw data into clear business insights.

• Excellent communication skills and the ability to work cross functionally with Sales, Marketing, Customer Success, Finance, and Product teams.

• High attention to detail, strong process orientation, and comfort operating with ambiguity in a fast-paced startup environment.

Good to Have

• Exposure to enterprise or B2B sales cycles involving banks, NBFCs, or other regulated financial institutions.

• Familiarity with sales engagement, contract/ CPQ, or customer success platforms.

• Basic scripting or automation skills (e.g., Python, Google Apps Script) for reporting workflows.

• Prior experience supporting forecasting, quota-setting, or compensation processes.

Why Join AbleCredit?

You'll join a fast-moving team building GenAI-powered infrastructure for one of India's most consequential industries — lending. You'll have direct visibility into how the business runs end-to-end, ownership over the systems and data that leadership relies on daily, and the opportunity to shape RevOps practices as the company scales.

Data Engineer Hiring Post

🚨 Hiring: Data Engineer | PySpark + Python + SQL

We are looking for experienced Data Engineers to join our team!

🔹 Experience: 5 to 9 Years

🔹 Locations: Bangalore / Hyderabad

🔹 Interview Process:

• 1st Round – Virtual

• 2nd Round – Face-to-Face (Karat Test)

🔑 Key Skills:

✅ PySpark

✅ SQL

✅ Python

✅ ETL

📩 Interested candidates can share their updated resume.

#Hiring #DataEngineer #PySpark #Python #SQL #ETL #BangaloreJobs #HyderabadJobs #TechHiring #ImmediateHiring

Job Summary:

Looking for a Senior Software Engineer with strong experience in .NET, C#, ASP.NET, Angular/React, and SQL Server to develop and maintain scalable web applications.

Mandatory Skills:

• C#, .NET / ASP.NET, MVC
• Angular / TypeScript, HTML, CSS, JavaScript
• SQL Server / T-SQL
• RESTful APIs / Web API / Web Services
• Git / version control
• Application development, testing & production support
• Troubleshooting and resolving application issues
• Agile/Scrum environment

Good to Have:

• Azure/AWS
• CI/CD & DevOps
• Jenkins, Docker
• Microservices
• Unit Testing / TDD
• JIRA / SVN / TFS

Key Responsibilities:

• Develop, test and maintain .NET web applications.
• Build and enhance front-end applications using Angular/React.
• Troubleshoot production and application-specific issues.
• Collaborate with business, operations and functional teams.
• Participate in code reviews and SDLC activities.
• Prepare technical and project-related documentation.

Experience: 12–15 Years

Job Type: Full-time

Role: Java Lead / Technical Lead

Job Summary

We are looking for an experienced Java Lead with 12–15 years of hands-on software development experience to lead the design, development, and delivery of scalable enterprise applications. The ideal candidate should have strong expertise in Core Java, Spring Boot, Microservices, REST APIs, SQL, and cloud technologies, along with proven experience in technical leadership and mentoring development teams.

The candidate will work closely with architects, product managers, and engineering teams to translate business requirements into robust and scalable technical solutions.

Key Responsibilities

• Lead the design, development, and implementation of Java-based enterprise applications.
• Provide technical leadership and guidance to a team of Java developers.
• Design and develop scalable, secure, and high-performance microservices and RESTful APIs.
• Participate in architecture and technical design discussions and contribute to key technical decisions.
• Review code and ensure adherence to coding standards, design principles, and best practices.
• Troubleshoot complex technical issues and provide effective solutions.
• Work closely with product managers, business analysts, QA, DevOps, and other stakeholders.
• Mentor developers and conduct technical knowledge-sharing sessions.
• Identify opportunities for improving application performance, scalability, reliability, and maintainability.
• Ensure effective implementation of unit testing, integration testing, CI/CD, and automated deployment practices.
• Participate in production support, root-cause analysis, and resolution of critical issues.
• Stay updated with emerging technologies and recommend suitable solutions where applicable.

Required Skills

• 12–15 years of experience in Java/J2EE application development.
• Strong expertise in Core Java, OOP, Collections, Multithreading, Exception Handling, and Java 8+ features.
• Strong hands-on experience with Spring Framework and Spring Boot.
• Excellent experience in Microservices architecture and RESTful web services.
• Strong understanding of design patterns, SOLID principles, and software architecture.
• Good knowledge of SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Experience with Hibernate/JPA.
• Strong understanding of data structures and algorithms.
• Experience with Git and Maven/Gradle.
• Good understanding of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes is preferred.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with messaging technologies such as Kafka or RabbitMQ is an advantage.
• Strong debugging, problem-solving, and analytical skills.

Leadership & Soft Skills

• Proven experience in leading or mentoring technical teams.
• Strong communication and stakeholder-management skills.
• Ability to drive technical discussions and make sound engineering decisions.
• Ability to work effectively in a collaborative, agile environment.
• Strong ownership and accountability for technical deliverables.
• Ability to balance hands-on development with technical leadership responsibilities.

Education

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

Preferred Qualifications

• Experience working on large-scale, distributed enterprise applications.
• Experience with cloud-native application development.
• Knowledge of event-driven architecture.
• Experience with system design and high-level/low-level design.
• Familiarity with Agile/Scrum methodologies.

Position

Solution Architect/Technical Architect

Experience

·       12 - 16+ years of overall IT experience

·       Significant hands-on experience working as a Solution/Technical Architect

Education

·       B.Tech / M.Tech / MCA / MBA or equivalent

Certifications

·       TOGAF® certification (Level 1/2) preferred to ensure alignment with enterprise architecture standards

·       Microsoft Certified: Azure Solutions Architect Expert (AZ-305) and other supporting certifications such as AZ-104, AZ-400, or AZ-500 preferred.

Key Responsibilities

·       Define and evolve the target architecture for .NET-based distributed platform.

·       Architect highly configurable solutions on Azure with strong focus on scalability, tenant isolation, resilience, maintainability, and speed of delivery.

·       Lead solution design across ASP.NET Core services, REST APIs, event-driven workflows, background processing, integration patterns, and shared platform capabilities.

·       Drive adoption of modern .NET and cloud-native patterns including microservices, domain-driven design, event-driven architecture, API-first design, and secure service-to-service communication.

·       Partner with engineering teams on real implementation decisions, review critical designs and code paths, and provide hands-on guidance for performance, operability, and production readiness.

·       Architect Azure-native deployment patterns using AKS, containers, API Management, Service Bus/Event Grid or equivalent messaging, Key Vault, managed observability, and CI/CD automation.

·       Work with data and platform teams on PostgreSQL-backed service design, data access patterns, caching strategies, and database performance for high-volume transactional workloads.

·       Define non-functional requirements and architecture guardrails around performance, scalability, availability, recoverability, security, compliance, and cost efficiency.

·       Embed DevSecOps and observability into platform design through telemetry, tracing, alerting, diagnostics, secrets management, and release governance.

·       Evaluate emerging technologies, AI-assisted engineering enablers, and modernization options pragmatically, with clear build-vs-buy and risk-reward trade-offs.

·       Mentor senior engineers and technical leads, contribute to architectural governance, and create reusable patterns, reference implementations, and standards across teams.

·       Bachelor’s or master’s degree in computer science, Engineering, or a related field.

·       12–16 years of experience in software engineering, solution architecture, or platform engineering, with significant experience in Microsoft technology stacks.

Essential Qualification and Skills

·       Strong hands-on expertise in C#, .NET / .NET Core / .NET 8, ASP.NET Core, Web APIs, background services, and enterprise application design.

·       Deep experience in architecting distributed systems using microservices, asynchronous messaging, event-driven design, and API-led integration patterns.

·       Strong Azure architecture experience, preferably across AKS, App Services, Functions, API Management, Key Vault, Service Bus, Event Grid, Storage, monitoring, and identity integration patterns.

·       Experience designing and supporting platforms, configurable product architectures, and integration-heavy enterprise solutions.

·       Strong understanding of relational databases and performance engineering, especially SQL Server and/or PostgreSQL, including schema design, indexing, query tuning, and transaction handling.

·       Solid grasp of non-functional architecture including performance, scalability, availability, fault isolation, observability, and disaster recovery.

·       Strong understanding of application and platform security including authentication, authorization, secrets management, encryption, secure coding, and compliance-oriented design.

·       Experience with containers, Kubernetes, CI/CD, infrastructure automation, and modern DevSecOps practices.

·       Ability to make sound architecture decisions with a balance of pragmatism, delivery speed, engineering quality, and long-term maintainability.

·       Strong communication and stakeholder management skills across product, engineering, architecture, operations, security, and client-facing teams.

Skills & Competencies

·       Experience in insurance, Insurtech, BFSI, or other regulated, transaction-heavy domains.

·       Exposure to policy administration, billing, accounting, claims, workflow orchestration, or reporting platforms within the insurance value chain.

·       Experience with architecture frameworks and modelling approaches such as TOGAF, domain-driven design, UML, C4, or equivalent practical architecture methods.

·       Familiarity with mixed technology landscapes involving .NET, Java/Spring Boot, enterprise workflow tools, and integration ecosystems.

·       Experience with observability and reliability tooling such as Datadog, Dynatrace, Application Insights, Open Telemetry, Grafana, or similar.

·       Working knowledge of Angular, React, or modern web application architecture patterns.

·       Exposure to AI-enabled engineering, intelligent automation, or embedding AI capabilities into enterprise platforms.

·       Leadership experience across globally distributed or virtual teams.

Key Responsibilities:

• Design, develop, test, and maintain backend applications using Java and Spring Boot.
• Build and consume RESTful APIs and integrate with third-party services.
• Develop scalable microservices and distributed systems.
• Optimize application performance, reliability, and security.
• Write clean, maintainable, and well-documented code.
• Collaborate with front-end developers, QA engineers, DevOps, and product teams.
• Troubleshoot production issues and implement bug fixes.
• Participate in code reviews and follow software development best practices.
• Contribute to CI/CD pipelines and deployment processes.

Required Skills & Experience 

• Strong proficiency in Java (Java 8/11/17+).
• Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.
• Experience building RESTful APIs and microservices.
• Knowledge of Hibernate/JPA.
• Strong understanding of SQL databases such as MySQL or PostgreSQL.
• Familiarity with Git and version control.
• Understanding Maven or Gradle.
• Knowledge of unit testing frameworks such as JUnit and Mockito.
• Understanding object-oriented programming principles and design patterns.

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

Backend Engineer – Java/Spring – Bangalore

 Job Title: Backend Engineer (Java)

 Experience: 7 - 10 years

 Location: Bangalore

 Employment Type: Full Time with Arcis E Services

About the Role

 Looking for a backend engineer with strong Java and Spring expertise to build scalable microservices and backend systems.

 Key Responsibilities

• Develop microservices using Java, Spring Boot, Spring Core, Hibernate.

• Design REST APIs, authentication, and backend architecture.

• Work with SQL/NoSQL databases and optimize queries.

 • Collaborate with frontend and QA for seamless integrations.

• Participate in code reviews, refactoring, and performance optimization.

 Required Skills

 • J2EE, Spring Boot, Hibernate.

• RESTful services, JSON/XML.

• SQL (MySQL/PostgreSQL) and NoSQL fundamentals.

• Familiarity with Docker/Kubernetes is a plus.

Key Responsibilities

·      Develop and maintain application features using .NET Framework and Angular or assigned tech stack.

·      Write clean, efficient, and well-structured code following engineering best practices.

·      Debug, test, and fix defects with attention to quality and performance.

·      Participate in requirement discussions, sprint ceremonies, and Agile workflows.

·      Collaborate with peers, leads, QA, and cross-functional teams effectively.

·      Document code, APIs, and module-level design details.

·      Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) responsibly to improve productivity.

·      Continuously learn and apply new technologies, frameworks, and standards.

Required Skills

·      Strong fundamentals in OOP, data structures, algorithms, logical reasoning, and problem solving.

·      Good knowledge of C#/.NET Framework, or another modern backend framework.

·      Basic understanding of relational databases, REST APIs, and version control (Git).

·      Understand database concepts and able to write sql queries with joins

·      Familiarity with Agile concepts (user stories, backlog, sprints).

·      Good communication and team collaboration skills.

·      Quick learner with a growth mindset.

·      Awareness of AI tools and how they support coding, testing, and documentation.

Preferred Skills

·      Knowledge of unit testing (xUnit, JUnit, NUnit).

·      Exposure to CI/CD pipelines and DevOps basics.

·      Basic understanding of cloud platforms (Azure/Cloudflare) is a plus. 

Key Responsibilities

·      Develop and maintain application features using .NET Framework and Angular or assigned tech stack.

·      Write clean, efficient, and well-structured code following engineering best practices.

·      Debug, test, and fix defects with attention to quality and performance.

·      Participate in requirement discussions, sprint ceremonies, and Agile workflows.

·      Collaborate with peers, leads, QA, and cross-functional teams effectively.

·      Document code, APIs, and module-level design details.

·      Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT) responsibly to improve productivity.

·      Continuously learn and apply new technologies, frameworks, and standards.

Required Skills

·      Strong fundamentals in OOP, data structures, algorithms, logical reasoning, and problem solving.

·      Good knowledge of C#/.NET Framework, or another modern backend framework.

·      Basic understanding of relational databases, REST APIs, and version control (Git).

·      Understand database concepts and able to write sql queries with joins

·      Familiarity with Agile concepts (user stories, backlog, sprints).

·      Good communication and team collaboration skills.

·      Quick learner with a growth mindset.

·      Awareness of AI tools and how they support coding, testing, and documentation.

Preferred Skills

·      Knowledge of unit testing (xUnit, JUnit, NUnit).

·      Exposure to CI/CD pipelines and DevOps basics.

·      Basic understanding of cloud platforms (Azure/Cloudflare) is a plus. 

At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.

About the Role:

We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.

Key Responsibilities:

• Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
• Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
• Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
• Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
• Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
• Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.

Requirements:

• 3–6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
• Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
• Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
• Ability to collaborate effectively with remote and geographically distributed teams across different time zones.

Company Link: https://www.nineleaps.com/

Company LinkedIn: https://www.linkedin.com/company/nineleaps/

Company & Team Overview

Planview's mission is to build the digital future of connected work — empowering business, technology, and transformation leaders to accelerate the achievement of the project and product initiatives that matter most. As the leading end-to-end platform for Strategic Portfolio Management (SPM) and Software Product Delivery, Planview's AI-powered solutions give leaders the strategic foresight to prioritize with precision, accelerate value delivery, and adapt with confidence.

Headquarters in Austin, Texas, with over 1,500 employees worldwide, Planview serves more than 3,000 customers and 3.1 million users globally, including 45 of the Fortune 100.

The Support Operations team is at the heart of Planview's customer experience, ensuring that enterprises around the world get the most value from Planview's industry-leading platform. As Planview expands its AI-first portfolio through continued innovation and acquisition, the Support Operations team plays a critical role in delivering consistent, high-quality technical assistance across a growing suite of solutions.

Role Summary

Technical Support Engineer I provides first-level technical support for Planview KeyedIn (enterprise PPM) Customer Care customers and internal employees, serving as the primary point of contact for a defined set of accounts and cases. In this role, you will independently resolve standard cases across user and license administration, project and resource management, reporting, data operations, and integration workflows, while investigating root causes and documenting durable solutions.

You will escalate complex or defect cases appropriately — acting as a liaison between customers and the Development and Cloud Operations teams — and guide customers on the product's proper use and best practices. As you grow, you will take on increasingly complex problems end-to-end and mentor Associate Technical Support Engineers, contributing to a high-performing, collaborative team. Success is measured by case resolution quality, SLA performance, customer satisfaction, and case hygiene.

Key Responsibilities

Customer Support & Case Management

•   Act as the first point of contact for KeyedIn Customer Care customers seeking technical assistance, providing troubleshooting and support via the ticketing system, email, and web-based tools.

•   Accurately log all customer cases, interactions, and resolutions in the case management system (Salesforce).

•   Take a hands-on approach, managing issues from initial contact through final resolution and follow-up, and maintaining full accountability throughout the support lifecycle.

•   Prioritize cases according to severity and SLA commitments, ensuring timely and accurate responses.

•   Maintain case hygiene — accurate status, ownership, and next action — with no-silent-case discipline.

Technical Troubleshooting & Resolution

•   Handle standard KeyedIn administration and configuration requests — support-portal accounts, licence-count updates, user provisioning and termination, login-group publishing, and access/login issues.

•   Resolve standard reporting, widget, dashboard, and how-to cases; assist with routine data export and data-load requests.

•   Investigate root causes, guide customers through corrective steps, and document solutions in the Customer Success Center knowledge base.

•   Escalate complex or defect cases to higher-level engineers or Development with clear reproduction steps and environment details; route Cloud Operations and Development-owned work to the correct team without owning it.

•   Follow the team's call-escalation discipline — move prolonged email threads to a call at the defined threshold to speed resolution.

Product Knowledge & Continuous Improvement

•   Stay current on KeyedIn releases, feature changes, known issues, and system updates.

•   Advise customers on the product's proper use, best practices, and configuration guidance.

•   Contribute to technical notes and knowledge base articles in the Customer Success Center.

•   Collect and communicate customer feedback, recurring issues, and product-quality insights to improve product quality and support processes.

Collaboration & Mentoring

•   Mentor Associate Technical Support Engineers, sharing knowledge and best practices.

•   Build relationships with cross-functional teams including Engineering, Development, Cloud Operations, Product, and Customer value advisor.

•   Function independently as well as part of a cross-functional global team.

•   As needed, participate in on-call or skeleton crew rotation.

Required Qualifications

•   1–3 years of experience in technical support, software support, IT support, or a closely related customer-facing role.

•   Demonstrated ability to independently troubleshoot and resolve technical issues in enterprise software or SaaS environments.

•   Strong written and verbal communication skills in English; ability to explain technical concepts clearly to both technical and non-technical audiences.

•   Experience using ticketing or case management systems (e.g., Salesforce, Jira, Zendesk, or similar).

•   Solid diagnostic and problem-solving skills with a systematic, analytical approach.

•   Proven ability to manage multiple cases simultaneously while maintaining attention to detail and meeting SLA commitments.

•   Ability to work independently and as part of a cross-functional global team.

•   Experience using ticketing or case management systems (e.g., Salesforce, Jira, Zendesk, Dynamics 365, or similar).

Preferred Qualifications

•   Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent practical experience.

•   Familiarity with SaaS application support models and multi-tenant environments.

•   Experience with enterprise databases and SQL querying (SQL Server, Oracle, PostgreSQL, or MySQL).

•   Exposure to REST or SOAP APIs and tools such as Postman or cURL.

•   Practical familiarity with PPM concepts — projects, resources, timesheets, dashboards, reporting/widgets, and custom entities.

•   Understanding of identity and access management concepts (SSO, OAuth, RBAC, SAML).

•   Knowledge of the Planview product ecosystem, particularly KeyedIn or other PPM solutions.

•   Relevant technology certifications (Microsoft, AWS, ITIL, or similar).

Knowledge, Skills & Abilities

•   Willing to accept and adapt to change, showing flexibility and recovering relatively quickly from setbacks.

•   Actively participates in team meetings and seeks out collaboration opportunities without always waiting to be prompted.

•   Seeks feedback from colleagues and peers and integrates that feedback into their approach and work quality.

•   Displays a willingness to develop conflict-resolution skills and facilitate productive discussions with customers and colleagues.

•   Keeps a calm, professional demeanor across a variety of clients and personalities, even when others in the support process may not.

•   Self-motivated, detail-oriented, and organized, with the ability to begin prioritizing work independently.

•   A logical, process-oriented thinker who is positive, proactive, and innovative — a creative problem solver with exceptional customer service skills.

•   Committed to continuous learning, with intellectual curiosity to expand product and technical knowledge and the ability to learn new concepts quickly.

•   Comfortable engaging with AI-assisted tools to accelerate research, issue diagnosis, and knowledge base contributions.

Technical Skillset (Product-Specific)

Experience Required: 1–3 years.

Must Have

•   API — Experience with Postman or similar tools to test APIs, validate responses, and troubleshoot API failures; understanding of REST APIs, HTTP methods, status codes, and request/response flows for troubleshooting integrations.

•   SQL & Relational Databases — Ability to write basic to intermediate SQL queries to validate data, troubleshoot data issues, and understand database relationships.

•   Analytical & Communication Skills — Strong problem-solving ability with the capacity to translate technical findings into clear, actionable guidance for non-technical stakeholders.

•   Application & Log Analysis — Application logs, error analysis, troubleshooting, and root cause identification.

•   Salesforce & Jira — Working knowledge of Salesforce for case management and Jira for defect tracking and ticket management.

•   Web & SaaS Troubleshooting — Web-based applications, SaaS/cloud environments, browser Developer Tools, HTTP/HTTPS, and network troubleshooting.

•   Cloud & Networking — Basic understanding of cloud environments, DNS, SSL/TLS, firewalls, proxies, and connectivity issues.

•   Power BI (basic) — able to read dashboards and reports, understand how filters and slicers change results, and recognize whether a reporting issue is a data, refresh, or configuration problem.

Nice to Have

•   PPM Application Support — Practical familiarity with projects, resources, timesheets, dashboards, reporting/widgets, and custom entities.

•   Reporting & Data — Comfort with report/widget configuration concepts, filters, and data validation.

•   Data Loads & Exports — Ability to handle imports/exports, MS Project imports, and bulk field uploads.

•   Planview Product Familiarity — Any exposure to Planview's portfolio or release management product suite.

We are looking for Java Full Stack Developers with strong experience in development using Java, Spring Boot, and REST APIs, along with exposure to front-end technologies such as Angular or React.

Required Skills:

• Strong proficiency in Java and Spring Boot framework.
• Hands-on experience in developing REST APIs and microservices architecture.
• Experience with Kafka.
• Experience with Spring Batch processing.
• Knowledge of Swagger/OpenAPI.
• Hands-on experience with OpenShift or container orchestration platforms.
• Strong understanding of JPA/Hibernate ORM frameworks.
• Experience working with relational and/or NoSQL databases.
• Proficiency in Git version control systems.
• Experience with CI/CD tools and deployment pipelines.
• Testing knowledge using JUnit.
• Experience with functional and API testing tools such as Postman.
• Front-end development experience with Angular or React.

Data Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 3-5 years

Role Overview  

What We’re Looking For:

• Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
• Experience designing and shipping cloud services products.
• Experience driving and managing technical and architectural dependencies on AWS Cloud.
• A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
• Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
• Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
• Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
• Proficiency in programming languages such as Python.
• Strong analytical and problem-solving skills.
• 
  

Required Skills & Experience

• Experience with Python, SQL, and data visualization/exploration tools.
• Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
• Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
• Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
• Excellent leadership, stakeholder management, and communication skills.

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

We are looking for a Database Engineer (PostgreSQL) with 1-5 years of experience to manage, optimize, and maintain PostgreSQL databases. The ideal candidate will have expertise in PostgreSQL, SQL Optimization, Database Design, Performance Tuning, Data Migration, and Backup & Recovery.

Responsibilities:

• Design, develop, and maintain PostgreSQL databases.
• Optimize SQL queries and improve database performance.
• Perform database design, indexing, and schema management.
• Execute data migration, backup, recovery, and disaster recovery activities.
• Monitor database health and troubleshoot performance issues.
• Collaborate with development teams to ensure scalable database solutions.

Requirements:

• 1-5 years of PostgreSQL database experience.
• Strong SQL and performance tuning skills.
• Knowledge of database backup, recovery, and migration processes.

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

Job application link : https://grnh.se/z7qx2ehx1us

Job Summary

We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.

Key Responsibilities

• Design, develop, and maintain interactive Power BI dashboards and reports.
• Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
• Develop and optimize SQL queries, stored procedures, views, and ETL processes.
• Design and implement scalable Star Schema and Snowflake Data Models.
• Perform report and model performance tuning using DAX Studio.
• Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
• Manage model deployment, comparison, and version control using ALM Toolkit.
• Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
• Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
• Collaborate with business users to gather and analyze reporting requirements.
• Ensure data accuracy, governance, security, and report performance.
• Troubleshoot data-related issues and implement effective solutions.
• Create technical documentation and provide knowledge transfer to support teams.

Required Skills

Technical Skills

• Strong experience in Microsoft Power BI Development.
• Expertise in DAX (Data Analysis Expressions).
• Advanced knowledge of SQL Server/T-SQL and query optimization.
• Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
• Hands-on experience with Tabular Editor.
• Experience using DAX Studio for model and query performance tuning.
• Experience with ALM Toolkit for model comparison and deployment.
• Strong understanding of Power BI Service/Web Experience.
• Knowledge of Power Query (M Language).
• Experience with Row-Level Security (RLS) and data governance.
• Understanding of data warehousing and ETL concepts.

Job Summary

We are looking for an experienced ETL Tester / Data QA Engineer with strong SQL skills to validate data pipelines, ETL processes, data transformations, and data quality across source and target systems. The candidate should have hands-on experience in writing complex SQL queries, performing data validation, and identifying data discrepancies.

Key Responsibilities

• Perform ETL testing for data extraction, transformation, and loading processes.
• Validate data between source and target systems.
• Write and execute complex SQL queries for data validation and reconciliation.
• Verify data transformations, mappings, joins, aggregations, and business rules.
• Perform data completeness, accuracy, consistency, integrity, and duplicate checks.
• Validate incremental and full data loads.
• Test ETL workflows, batch jobs, and data pipelines.
• Identify, document, and track defects using tools such as JIRA.
• Analyze production data issues and support root-cause analysis.
• Prepare test scenarios, test cases, test data, and execution reports.
• Work closely with developers, data engineers, business analysts, and other QA teams.
• Participate in regression, integration, system, and end-to-end testing.

Required Skills

• Strong hands-on experience in ETL/Data Warehouse Testing.
• Advanced SQL skills, including:
• Joins
• Subqueries
• CTEs
• Window functions
• Aggregations
• Stored procedures
• Data reconciliation
• Knowledge of Data Warehousing concepts such as fact and dimension tables, star/snowflake schemas, and slowly changing dimensions (SCD).
• Experience with ETL tools such as Informatica, Talend, SSIS, DataStage, or similar.
• Experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
• Good understanding of SDLC/STLC and defect life cycle.
• Experience with Agile/Scrum methodologies.

Good to Have

• Experience with cloud data platforms such as Snowflake, AWS, Azure, or GCP.
• Knowledge of tools such as Databricks, Azure Data Factory, AWS Glue, or dbt.
• Experience with API testing or data pipeline automation.
• Basic knowledge of Python for test/data validation automation.
• Experience testing large-volume datasets and complex data migrations.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or a related field.
• Strong analytical and problem-solving skills.
• Good communication and documentation skills.

Strong Senior Developer – PL/SQL, SQL & ETL (Microsoft SSIS) Profile

2

Mandatory (Experience 1) – Must have minimum 5+ years of strong hands-on experience in PL/SQL and SQL development, including complex stored procedures, functions, queries, joins, data manipulation, and query/performance optimization.

3

Mandatory (Experience 2) – Must have strong hands-on experience in ETL development using Microsoft SSIS, including building, maintaining, optimizing, and troubleshooting SSIS packages for large-volume data movement and transformation.

4

Mandatory (Experience 3) – Must have solid experience working with Data Warehousing concepts and architectures, including data models, fact/dimension structures, ETL data flows, and enterprise reporting/data warehouse environments.

5

Mandatory (Experience 4) – Must have experience managing batch jobs, scheduling, and data pipelines, ensuring timely and reliable execution of enterprise ETL workflows.

6

Mandatory (Experience 5) – Must have hands-on experience in production support for SSIS/ETL and data warehouse jobs, including monitoring job execution, troubleshooting failures, performing root cause analysis, and implementing preventive fixes.

7

Mandatory (Experience 6) – Must have experience with data quality, validation, and troubleshooting, including identifying and resolving data discrepancies/issues affecting downstream reports, dashboards, and analytics.

8

Mandatory (Experience 7) – Must have experience with unit, integration, and regression testing of SQL, PL/SQL, and ETL components, along with strong documentation of technical designs, data mappings, data flows, and deployment processes.

9

Mandatory (Location) – Must be willing to work in a hybrid model from a city where Cognizant has an office.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

CAP-190 : Senior Data Analyst

📍Location : Bangalore / Hyderabad / Chennai / Pune / NCR

🧠Experience : 7 - 15 Years

🆔Job Code : CAP-190

🏢Work Type : Hybrid - 3 Days in a Week

About the Client (CODE: CAP)

CAP operates at the forefront of the financial services industry, providing consulting, technology, and digital transformation solutions to leading organizations worldwide. With a focus on innovation, CAP empowers clients to navigate complex regulatory landscapes, optimize operations, and drive business growth. The company fosters a collaborative and agile culture, encouraging continuous learning and excellence.

Key Responsibilities

● Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

Why Join CAP (Code Name)

Join CAP to work on impactful data initiatives within the financial services sector, tackling complex technical challenges and driving meaningful business outcomes. You'll collaborate with talented professionals in a dynamic, agile environment that values innovation and continuous improvement. CAP offers opportunities for professional growth, skill development, and the chance to contribute to high-visibility projects that shape the future of financial technology.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Job Title : Senior Data Engineer – Databricks

Experience : 14 to 20 Years

Location : HSR Layout, Bangalore

Work Mode : Hybrid – 3 Days WFO

Shift : 11:30 AM – 07:30 PM IST

Positions : 2

Notice Period : Immediate Joiners Only

Interview : 1 Technical Round + 2 Client Rounds

Role Overview :

We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.

The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.

Must-Have Skills :

• 14 to 20 years of Data Engineering experience
• Databricks & Apache Spark / PySpark
• Python & SQL
• AWS Cloud
• Lakehouse Architecture
• ETL / ELT & Distributed Data Processing
• Batch & Streaming Pipelines
• Data Pipeline Optimization & Data Modeling
• CDC & Incremental Processing
• Git, CI/CD & Testing
• Data Quality, Monitoring & Observability
• Technical Leadership & Stakeholder Management

Key Responsibilities :

• Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
• Own data products from design through production.
• Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
• Optimize pipelines for performance, scalability, reliability, and cost.
• Design scalable data architectures and data models.
• Implement data quality, monitoring, lineage, and CI/CD practices.
• Lead technical discussions and mentor engineering teams.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Remain hands-on while providing technical leadership.

Ideal Candidate :

A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.

🔴 Super Urgent : Only Bangalore-based immediate joiners.

About the Company

Fluxsolve Technovations Private Limited (incorporated 2023) builds Fuse-OS — an AI-powered Insurance Distribution Operating System. Fuse-OS is a unified enterprise platform that orchestrates people, processes, and insurance ecosystems across the distribution chain, from lead generation and policy issuance through servicing, reconciliation, payouts, compliance, and business intelligence.

Unlike traditional policy administration tools or point-solution workflow software, Fuse-OS serves insurers, brokers, corporate agents, aggregators, NBFCs, banks, automotive finance companies, OEMs, and dealer networks through three flagship platforms: Insurance Distribution Management, Revenue & Reporting Management, and Embedded & Group Products Management. The platform is cloud-native and AI-native, multi-tenant and modular, with enterprise security controls, configurable business rules, and integration-ready architecture.

About the Founders

Pankaj Sharma — Co-Founder & CEO. IIT Roorkee (B.Tech ECE). Leadership experience across insurance distribution and strategy, including roles at Angel One, Liberty General Insurance, Pasarpolis Indonesia, HDFC ERGO, and Coverfox, along with prior founding experience.

Prenit Wankhede — Co-Founder & CTO. IIT Kanpur (B.Tech + M.Tech EE). Engineering leadership across insurance technology and financial services, including roles at Liberty General Insurance, Morgan Stanley, and Coverfox, along with prior founding experience as CTO.

Role Summary

We are hiring Backend Developers with a full-stack orientation to help build and maintain Fuse-OS. You will primarily work with Python and Django, contribute to APIs and backend services, and comfortably support light frontend work using HTML, JavaScript, jQuery, and CSS. You will learn from senior engineers while delivering reliable features in a multi-tenant SaaS environment.

Key Responsibilities

·      Develop and maintain backend features using Python and Django

·      Build and enhance REST APIs, data models, business logic, and admin tooling

·      Work with relational databases (PostgreSQL) and background job processing patterns

·      Support full-stack contributions using HTML, JavaScript, jQuery, and CSS where needed

·      Write clean, testable code; participate in code reviews and follow team engineering standards

·      Debug issues across application, data, and service layers with guidance from senior engineers

·      Collaborate with frontend, QA, and product/delivery stakeholders on requirements and delivery quality

·      Contribute to technical documentation and knowledge sharing within the team

Required Skills & Qualifications

·      Hands-on experience with Python and Django (academic projects, internships, or professional work)

·      Working knowledge of PostgreSQL / relational data modeling and ORM usage

·      Comfort with Git, Linux basics, and debugging application behavior from logs

·      Frontend familiarity for full-stack contribution: HTML, JavaScript, jQuery, and CSS

·      Ability to read existing codebases, follow established patterns, and deliver incremental improvements

·      Strong analytical problem-solving skills and attention to detail

·      Good written and verbal communication

Preferred / Nice to Have

·      Familiarity with browser automation using Selenium and Python (big plus)

·      Exposure to Celery/Redis, Django REST Framework, or common data-processing libraries

·      Basic AWS familiarity (e.g., compute, storage, monitoring) — optional but good to have

·      Experience with SaaS products, multi-tenant applications, or enterprise web systems

Domain Preference

Familiarity with the insurance industry and InsurTech is preferred but not mandatory. Strong engineering fundamentals and willingness to learn the domain matter more.

What We Offer

·      Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)

·      Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring

·      Collaborative product and engineering culture focused on quality and customer outcomes

·      Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems

·      Growth path with clear impact on product and customers