50+ SQL Jobs in India

Byteridge is seeking a Business Intelligence Solutions engineer to drive

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

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

customers to accelerate their data-driven transformation.

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

What You'll Do

Solution Architecture & Deployment

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

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

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

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

Technical Development & Integration

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

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

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

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

Customer Engagement & Enablement

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

technical solutions

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

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

• Identify expansion opportunities and drive adoption of advanced analytics features

What We're Looking For

Core Qualifications

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

experience

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

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

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

Technical Expertise (High-Level Alignment)

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

similar)

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

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

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

Preferred Experience

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

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

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

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

• Understanding of data governance, security, and compliance requirements

Essential Attributes

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

• Strong communication skills to engage with technical and business stakeholders

• Ability to manage multiple customer engagements and prioritize effectively

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

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

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

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

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

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

Responsibilities

Key Responsibilities

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

Mandatory Qualifications

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

Preferred Qualifications

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

About the Role

We are looking for a highly accomplished Generalist Fullstack Engineer for an immediate long-term track opportunity.

This is a 90% hands-on core engineering role. If you are looking for a management or guidance-only position, this is not the right fit. We need builders who love writing high-quality code and own end-to-end features across both backend services and frontend architectures.

Job Parameters & Eligibility

• Experience Required: 5 to 10 Years (Profiles with less than 5 years will not be evaluated).
• Work Mode: Hybrid (3 days Work From Office compulsory at Koramangala, Bengaluru).
• Joining Timeline: Immediate Joiners / Candidates currently serving notice with a Last Working Day (LWD) within the next 20 days only.

Key Responsibilities

• End-to-End Delivery: Design, develop, and deploy highly performant fullstack web applications.
• Backend Mastery: Build modular, scalable, and secure microservices and RESTful/GraphQL APIs.
• Frontend Engineering: Architect clean, dynamic user interfaces ensuring highly optimized state management and reusable components.
• Infrastructure & Data: Work natively with cloud infrastructures and design optimized SQL relational database systems.

Technical Stack Requirements

Backend Depth:

• Advanced hands-on experience in Node.js (Highly Preferred), Python, Java, or Golang.
• Solid experience writing optimized queries and managing relational architectures in SQL.

Frontend Depth:

• Proven UI experience working extensively with modern libraries like React.js, Angular, or Vue.js.
• Deep knowledge of complex frontend state management patterns and structural performance optimization.

Cloud & Infrastructure:

• Robust exposure to AWS core services.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform is a significant plus.

What We Avoid

• Profiles with less than 5 years of absolute engineering depth.
• Frequent job hoppers with multiple short stints.
• Developers whose frontend knowledge is restricted to basic styling rather than complete end-to-end logic/state implementation.

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

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

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Key Responsibilities

• Report Generation & Maintenance: Design, develop, and maintain daily, weekly, and monthly MIS reports and dashboards to track key business metrics.
• Data Automation: Streamline data collection and reporting processes using advanced Excel functions, VBA/Macros, and Power Query to minimize manual effort and human error.
• Data Quality Assurance: Validate, clean, and reconcile large datasets from multiple sources to ensure 100% accuracy and consistency.
• Ad-Hoc Analysis: Respond quickly to high-priority, customized data requests from management and cross-functional teams.
• Trend Analysis: Identify data trends, anomalies, and insights to help management make informed strategic decisions.

Required Skills & Qualifications

Technical Expertise:

• Advanced Excel (Must-Have): Expert-level knowledge of VLOOKUP/XLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, Data Validation, Conditional Formatting, and Array Formulas.
• VBA & Automation: Proficient in writing and debugging VBA macros to automate repetitive tasks.
• Data Visualization: Ability to build clean, intuitive charts, graphs, and dynamic dashboards that tell a story.
• Bonus Skills: Familiarity with SQL, Power BI, or Tableau is a strong plus.

Professional Skills:

• Experience: 2–5 years of experience in an MIS, Data Analyst, or Reporting role.
• Analytical Thinking: Strong problem-solving skills with a knack for spotting patterns and discrepancies in massive datasets.
• Attention to Detail: High precision in data handling; a missing comma or broken formula shouldn't get past you.
• Communication: Ability to translate complex data into clear, concise summaries for non-technical stakeholders.

Position: Full Stack Developer ( PHP Codeigniter)

Company : Mayura Consultancy Services

Experience: 2 yrs

Location : Bangalore

Skill: HTML, CSS, Bootstrap, Javascript, Ajax, Jquery , PHP and Codeigniter or CI

Work Location: Work From Home(WFH)

Apply: Please apply for the job opening using the URL below, based on your skill set. Once you complete the application form, we will review your profile.

Website:

https://www.mayuraconsultancy.com/careers/mcs-full-stack-web-developer-opening?r=jlp

Requirements :

• Prior experience in Full Stack Development using PHP Codeigniter

Perks of Working with MCS :

• Contribute to Innovative Solutions: Join a dynamic team at the forefront of software development, contributing to innovative projects and shaping the technological solutions of the organization.
• Work with Clients from across the Globe: Collaborate with clients from around the world, gaining exposure to diverse cultures and industries, and contributing to the development of solutions that address the unique needs and challenges of global businesses.
• Complete Work From Home Opportunity: Enjoy the flexibility of working entirely from the comfort of your home, empowering you to manage your schedule and achieve a better work-life balance while coding innovative solutions for MCS.
• Opportunity to Work on Projects Developing from Scratch: Engage in projects from inception to completion, working on solutions developed from scratch and having the opportunity to make a significant impact on the design, architecture, and functionality of the final product.
• Diverse Projects: Be involved in a variety of development projects, including web applications, mobile apps, e-commerce platforms, and more, allowing you to showcase your versatility as a Full Stack Developer and expand your portfolio.

Joining MCS as a Full Stack Developer opens the door to a world where your technical skills can shine and grow, all while enjoying a supportive and dynamic work environment. We're not just building solutions; we're building the future—and you can be a key part of that journey.

Job Title: PHP – Laravel Developer (2+ Years Experience)

Location: Ghatkopar (On-Site)

Experience: 3+ Years

Salary: ₹4,50,000.00 - ₹6,00,000.00 Per Annum (depending on experience & skill set)

Employment Type: Full-time

Job Description:

We are looking for a motivated PHP – Laravel Developer to join our onsite team in Mumbai. The ideal candidate should have hands-on experience in Laravel development along with frontend knowledge and should be comfortable using modern AI development tools to improve productivity and build efficient solutions. The candidate should be tech-savvy, adaptable, and quick to learn new technologies, especially AI-assisted development tools.

Key Responsibilities:

• Develop, maintain, and enhance web applications using PHP and Laravel
• Build and integrate RESTful APIs
• Work with Laravel (10+ preferred) for backend development
• Implement frontend components using JavaScript and modern UI frameworks
• Utilize AI-assisted development tools to improve development efficiency
• Collaborate with clients and internal teams to understand requirements
• Write clean, optimized, and reusable code
• Debug, test, and troubleshoot application issues
• Work with cross-functional teams including frontend, QA, and project managers
• Track and manage tasks using project management tools
• Stay updated with new technologies, frameworks, and AI tools

Required Skills & Qualifications:

• 2+ years of hands-on experience in PHP development
• Good experience with Laravel framework
• Understanding of MVC architecture
• Strong knowledge of JavaScript
• Basic exposure to React.js
• Good understanding of HTML, CSS, and frontend development
• Experience using Tailwind CSS
• Experience working with MySQL
• Hands-on experience with REST APIs
• Familiarity with Git / version control
• Experience working in Linux environments

AI & Technology Adaptability (Important):

• Comfortable using AI development tools such as Windsurf, Google AntiGravity, Gemini, GitHub Co-pilot, OpenAI tools, or AI IDE
• Ability to integrate AI tools into development workflows
• Quick learner who can adapt to new technologies and frameworks
• Interest in using AI for coding assistance, debugging, and productivity improvement

Additional Requirements

• Good communication and collaboration skills
• Ability to understand requirements and translate them into technical tasks
• Experience using project management tools (Jira, Trello, ClickUp, etc.)
• Ability to work independently and take ownership of assigned modules

Good to Have (Preferred Skills)

• Basic understanding of TypeScript
• Exposure to CI/CD pipelines
• Basic knowledge of application security practices
• Experience working in Agile/Scrum environments



What We Offer

• Competitive salary based on skills and experience
• Onsite role with a collaborative team environment
• Opportunity to work with modern development tools and AI-assisted workflows
• Growth opportunities and exposure to evolving technologies

We are seeking a talented Senior Power BI Engineer to join our team and deliver high-quality business intelligence solutions for our clients.

Technical Skills:

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
• Looking out for only immediate joiners

Responsibilities:

• Design, develop, and deploy interactive Power BI dashboards and reports for client projects
• Build and optimize data models using star schema and snowflake schema design patterns
• Develop complex DAX measures and calculated columns to support business requirements
• Connect to and integrate data from multiple sources including SQL databases, Excel, APIs, cloud platforms, and data warehouses
• Implement data transformation and cleansing using Power Query (M language)
• Collaborate with clients and stakeholders to gather requirements and translate business needs into technical specifications
• Optimize report performance through query optimization, aggregations, and efficient data modeling
• Configure and manage Power BI Service including workspaces, datasets, dataflows, and row-level security (RLS)
• Create and maintain documentation for data models, reports, and development processes
• Provide training and support to end-users on Power BI reports and dashboards
• Design and implement custom visualizations using Power BI custom visuals and third-party visual libraries.
• Implement conditional formatting, dynamic titles, and dynamic content based on user selections
• Stay current with Power BI updates, new features, and industry best practices

About Ritually

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

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

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

The Role

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

What You'll Do

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

What We're Looking For

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

Nice to Have

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

Company Overview

Proof-of-Skill is transforming the job market by emphasizing skill-based evaluations. By offering verifiable proof of candidates' skills through expert-reviewed assignments, it aims to make hiring efficient and inclusive. The company operates with a small team, headquartered in Bengaluru, in the Technology, Information, and Internet industry. Learn more at proofofskill.org.

Job Overview

We are seeking a Data Analyst for a full-time role at Proof-of-Skill. This is a remote role. You will work on analyzing hiring and candidate data to improve decision-making, shortlisting, and overall system efficiency.

Qualifications and Skills

● Strong logical and analytical thinking

● Proficiency in Excel / Google Sheets for data analysis

● Basic knowledge of SQL or willingness to learn

● Ability to interpret data and extract meaningful insights

● Understanding of data visualization (charts, dashboards)

● Attention to detail and accuracy in handling data

● Ability to explain insights in a simple and clear manner

● Self-driven and comfortable working independently in a remote setup

Roles and Responsibilities

● Analyze candidate and hiring data to identify patterns and insights

● Build and maintain simple dashboards and reports

● Improve shortlisting and scoring systems using data

● Track key metrics across the hiring funnel (conversion, drop-offs, etc.)

● Work with ops and product teams to improve workflows

● Ensure data accuracy and consistency across systems

● Present findings in a clear and actionable format

● Continuously identify areas for optimization using data

Experience: 3–6 Years

CTC: Up to ₹12 LPA

Industry: FinTech

About the Role

We are looking for a passionate and customer-focused Product Manager with experience in the FinTech industry. The ideal candidate should be capable of managing the product lifecycle from ideation to launch while collaborating with cross-functional teams to build innovative financial products.

Key Responsibilities

• Own the end-to-end product lifecycle from concept to launch.
• Gather and prioritize business, customer, and market requirements.
• Create Product Requirement Documents (PRDs), user stories, and product roadmaps.
• Work closely with Engineering, Design, QA, Marketing, and Business teams.
• Conduct market research and competitor analysis.
• Define product vision and strategy aligned with business goals.
• Track product performance using KPIs and analytics.
• Coordinate Agile sprint planning, backlog grooming, and release management.
• Ensure timely delivery of product features with high quality.
• Continuously improve user experience based on customer feedback and data.
• 
  

Required Skills

• 3–6 years of Product Management experience in a FinTech company.
• Strong understanding of digital payments, lending, banking, wallets, UPI, or financial products.
• Experience with Agile/Scrum methodologies.
• Ability to write PRDs, BRDs, and user stories.
• Excellent analytical and problem-solving skills.
• Strong stakeholder management and communication skills.
• Hands-on experience with tools like Jira, Confluence, Figma, or similar.
• Understanding of APIs and product analytics is preferred.

Preferred Qualifications

• Bachelor's degree in Engineering, Computer Science, Business, or a related field.
• MBA or Product Management certification is an added advantage.
• Experience working with B2B or B2C FinTech products.

Required Qualifications

• Bachelor’s degree in marketing, Business Analytics, Computer Science, Engineering, Statistics, Information Systems, or a related field.
• 5+ years of experience in marketing analytics, business intelligence, data analysis, or marketing operations.
• 3+ years of hands-on experience supporting B2B marketing organizations with reporting, campaign measurement, and analytics.
• Demonstrated experience owning enterprise marketing reporting ecosystems and KPI governance frameworks.
• Deep expertise in marketing attribution methodologies, email deliverability concepts, campaign tracking, and marketing performance measurement.
• Hands-on experience with marketing automation platforms, including Eloqua, is required.
• Advanced proficiency in SQL and experience working with large, complex datasets.
• Strong programming and data manipulation skills using Python.
• Hands-on experience with multiple BI and visualization platforms, including:
• Domo
• Snowflake
• Power BI
• Tableau
• Proven experience leading or supporting BI platform migrations and change management initiatives.
• Experience building and maintaining data models, ETL processes, and self-service analytics environments.
• Strong understanding of marketing data architecture, data governance, and metadata management.
• Excellent problem-solving skills with a strong attention to detail and commitment to data accuracy.
• Exceptional communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently, prioritize effectively, and manage multiple projects in a fast-paced environment.

Must-Have Qualifications

• 5+ years of experience in marketing analytics, business intelligence, or marketing operations.
• Proven ownership of marketing reporting infrastructure, KPI governance, and executive-level dashboards.
• Strong expertise in email marketing analytics, including deliverability, attribution, campaign tracking, and performance measurement.
• Hands-on experience with Eloqua and marketing automation ecosystems.
• Advanced SQL and Python skills for data extraction, transformation, analysis, and automation.
• Expert-level proficiency with Snowflake and at least two enterprise BI platforms, including Domo, Power BI, and Tableau.
• Demonstrated success leading BI platform migrations and reporting modernization initiatives.
• Experience partnering with marketing, marketing operations, IT, and data engineering teams.
• Strong understanding of data quality frameworks, governance, and reporting best practices.

Nice-to-Have Qualifications

• Experience with Salesforce CRM, Salesforce Marketing Cloud, HubSpot, Marketo, or similar platforms.
• Experience with modern data stack technologies, including dbt, Alteryx, or data orchestration tools.
• Knowledge of account-based marketing (ABM) measurement and customer journey analytics.
• Experience implementing self-service analytics programs.
• Familiarity with Agile methodologies and project management frameworks.
• Experience working within a global B2B technology organization.

About the Role:

We are seeking a highly skilled Integration Specialist / Full Stack Developer with strong experience in .NET Core, API integrations, and modern front-end development. The ideal candidate will build and integrate scalable web and mobile applications, manage end-to-end delivery, and ensure smooth data exchange across platforms.

Key Responsibilities:

• Design, develop, and maintain backend APIs using .NET Core / C#.
• Build and integrate REST and SOAP-based services (JSON, XML, OAuth2, JWT, API Key).
• Implement file-based integrations (Flat file, CSV, Excel, XML, JSON) and manage FTP/SFTP transfers.
• Work with databases such as MSSQL, PostgreSQL, Oracle, and SQLite — including writing queries, stored procedures, and using ADO.NET.
• Handle data serialization/deserialization using Newtonsoft.Json or System.Text.Json.
• Implement robust error handling and logging with Serilog, NLog, or log4net.
• Automate and schedule processes using Quartz.NET, Hangfire, or Windows Task Scheduler.
• Manage version control and CI/CD pipelines via Git and Azure DevOps.
• Develop front-end interfaces with React and React Native ensuring responsive, modular UI.
• Implement offline-first functionality for mobile apps (sync logic, caching, etc.).
• Collaborate with cross-functional teams or independently handle full project ownership.
• Utilize AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code) to enhance productivity.
• Apply integration best practices including middleware, API gateways, and optionally message queues (MSMQ, RabbitMQ).
• Ensure scalability, security, and performance in all deliverables.

Key Skills & Technologies:

• Backend: .NET Core, C#, REST/SOAP APIs, WCF, ADO.NET
• Frontend: React, React Native
• Databases: MSSQL, PostgreSQL, Oracle, SQLite
• Tools: Git, Azure DevOps, Hangfire, Quartz.NET, Serilog/NLog
• Integration: JSON, XML, CSV, FTP/SFTP, OAuth2, JWT
• DevOps: CI/CD automation, deployment pipelines
• Optional: Middleware, API Gateway, Message Queues (MSMQ, RabbitMQ)

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of hands-on experience in software development and integration.
• Proven expertise in designing and implementing scalable applications.
• Strong analytical and problem-solving skills with a proactive approach.

Nice to Have:

• Experience with cloud services (Azure, AWS, GCP).
• Knowledge of containerization tools like Docker or Kubernetes.
• Familiarity with mobile deployment workflows and app store publishing.

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

We're seeking a detail-oriented and organized Data Entry Executive to join our event company. As a Data Entry executive, you will be responsible for accurately and efficiently entering data related to events, clients, and vendors into our database. 

Key Responsibilities:

1. Data Entry: Accurately and efficiently enter data into our database, including event details, client information, vendor contracts, and other relevant information.

2. Data Management: Maintain accurate and up-to-date records, ensuring data integrity and consistency.

3. Event Coordination: Assist event coordinators with data-related tasks, such as tracking RSVPs, managing attendee lists, and coordinating logistics.

4. Vendor Management: Assist with vendor communication, contract management, and data entry related to vendor contracts.

6. Reporting: Generate reports and provide data insights to support event planning and decision-making.

7. Quality Control: Perform quality control checks to ensure accuracy and completeness of data.

Requirements:

1. Education: High school diploma or equivalent required; associate's or bachelor's degree preferred.

2. Experience: 1-2 years of data entry experience, preferably in an event planning or related industry.

3. Skills:

  - Proficient in Microsoft Office, particularly Excel.

  - Experience with database management software (e.g., Eventbrite, Salesforce).

  Strong attention to detail and organizational skills.

  - Excellent communication and customer service skills.

  - Ability to work in a fast-paced environment and meet deadlines.

4. Physical Demands: Ability to sit for extended periods, typing, and computer work.

5. Exp in SQI / CRM

Job Description:

We are seeking an experienced developer to design and build cross-platform mobile applications integrated with enterprise backend systems. The role involves working on both mobile (Android & iOS) using Kotlin Multiplatform and backend services using Java / Spring Boot.

Key Responsibilities:

• Develop mobile applications for Android and iOS using Kotlin Multiplatform (KMP)
• Design and implement reusable shared modules across platforms
• Develop and maintain backend services using Java / Spring Boot
• Build and consume REST APIs
• Integrate authentication and security mechanisms
• Perform testing, debugging, and performance optimization

We are seeking experienced Reporting Developers to design, develop, test, and maintain business reports using OBIEE and BI Publisher. The ideal candidate will work closely with Business Analysts and end users to gather requirements, develop reporting solutions, perform testing, and maintain comprehensive documentation throughout the report lifecycle.

Location: Remote (India or Anywhere) – Candidates must be available to work in IST time zone.

Experience: 5+ years

Key Responsibilities

• Develop and maintain reports using OBIEE and BI Publisher.
• Collaborate with Business Analysts and end users to gather and analyse reporting requirements.
• Translate business requirements into technical reporting solutions.
• Perform report validation, testing, and defect resolution.
• Create and maintain report documentation, including:
• Report Specifications
• Functional Documents
• User Guides
• Change Documentation
• Participate in requirement discussions and provide technical recommendations.
• Ensure reporting solutions meet quality, performance, and compliance standards.
• Support report deployment and post-production activities.

Required Skills & Experience

• Strong experience in SQL.
• Hands-on experience with OBIEE and BI Publisher development.
• Working knowledge of Argus.
• Experience in requirements gathering and stakeholder communication.
• Strong testing and validation experience.
• Experience creating technical and functional documentation.
• Good analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working in Agile environments.
• Pharmaceutical or Life Sciences domain experience is an advantage.
• Ability to work independently and interact effectively with business users and cross-functional teams.

Job Description: 

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.  

Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.  

As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital. 

Key Responsibilities:  

• Collect data from various sources, including databases, APIs, and web scraping tools.    
• Clean and process raw data to ensure it is accurate and consistent.     
• Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.   
• Communicate insights in a clear and concise manner with the manager alongside your progress.    
• Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client. 

  Qualifications: 

• Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace. 
• Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.  
• Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content. 
• Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively. 
• Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics  

 Compensation and Expectations: 

• This internship is remote and unpaid. Interns are expected to work 15-20 hours a week. 

About the Role

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

Domains & Responsibilities 

Frontend Development 

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

 Backend Development 

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

 DevOps 

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

 AI / Machine Learning 

• Develop and train ML models  
• Work on NLP, automation, or AI-driven features  
• Analyze datasets and evaluate model performance  

 Data Engineering 

• Build and maintain data pipelines (ETL/ELT)  
• Ensure data quality and availability  
• Work with large datasets and optimize data workflows  

 Required Skills (Any Domain) 

• Frontend: HTML, CSS, JavaScript, React/Vue/Angular  
• Backend: Node.js / Python / Java / PHP, APIs, databases  
• DevOps: Linux, Git, CI/CD basics, cloud fundamentals  
• AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn  
• Data Engineering: SQL, Python, data processing concepts  

 Good to Have 

• Knowledge of Git and version control  
• Basic understanding of cloud platforms (AWS/Azure/GCP)  
• Problem-solving mindset and willingness to learn  
• Exposure to real-world or academic projects  

 Who Should Apply 

• Students or recent graduates in Computer Science, IT, or related fields  
• Candidates with strong interest in any of the above domains  
• Self-learners with project experience are highly encouraged  

 Internship Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO (Pre-Placement Offer) based on performance  

 What You’ll Gain 

• Hands-on experience with real projects  
• Mentorship from experienced professionals  
• Exposure to industry tools and workflows  
• Opportunity to convert to a full-time role 

PHP

Job description

We are seeking a highly skilled Senior Software Developer with proven experience in developing and scaling Education ERP solutions. The ideal candidate should have strong expertise in Core PHP, MySQL, and React Native, along with hands-on experience in implementing ERP modules such as HR, Exams, Inventory, Learning Management System (LMS), Admissions, Fee Management, and Finance.

Key Responsibilities

Design, develop, and maintain scalable Education ERP modules.

Work on end-to-end ERP features, including HR, Exam, Inventory, LMS, Admissions, Fees, and Finance.

Build and optimize REST APIs/GraphQL services and ensure seamless integrations.

Optimize system performance, scalability, and security for high-volume ERP usage.

Conduct code reviews, enforce coding standards, and mentor junior developers.

Stay updated with emerging technologies and recommend improvements for ERP solutions.

Required Skills & Qualifications

Strong expertise in Node.js and Core PHP.

Proficiency with MySQL, MongoDB, PostgreSQL (database design & optimization).

Frontend knowledge: JavaScript, jQuery, HTML, CSS (React Native/Vue preferred).

Experience with REST APIs, GraphQL, third-party integrations (payment gateways, SMS, email).

Hands-on with Git/GitHub, Docker, CI/CD pipelines.

Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

6 years of professional development experience, with a minimum of 3 years in ERP systems.

Preferred Experience

Prior work in Education ERP domain.

Deep knowledge of HR, Exam, Inventory, LMS, Admissions, Fees & Finance modules.

Exposure to high-traffic enterprise applications.

Strong leadership, mentoring, and problem-solving abilities

Benefit;

 Permanent Work From Home.

Senior Data Scientist (ML) – 5+ Years

Required Skills:

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

CAW We are looking for a Application Support Engineer to lead customer onboarding, deployments, and production support on the platform. This role sits at the intersection of engineering, customer success, and product and requires strong technical depth combined with excellent skills. You will work directly with enterprise customers to ensure fast, reliable deployments and long-term technical success. This is not a traditional support role; it's a high-ownership, hands-on techno-support and deployment engineering role.

The candidate will have responsibilities across the following functions:

Customer Deployment and Onboarding:

● Own end-to-end deployment of our platform for enterprise customers. ● Configure integrations, workflows, and environment-specific setups.

● Drive fast go-live and post-deployment stabilization.

Customer Interaction and Requirement Gathering:

● Act as the primary technical point of contact for customers.

● Understand customer business flows, data needs, and system constraints.

● Translate requirements into clear technical inputs for Product and Engineering teams.

Production Support (L1 and L2):

● Handle L1/L2 production support for customer-reported issues.

● Debug data, integration, performance, and infrastructure issues.

● Act as a technical escalation point during critical incidents.

Data and ETL Support:

● Understand and troubleshoot ETL pipelines and data workflows.

● Support ingestion, transformation, validation, and reconciliation of data.

● Work with APIs, databases, and file-based integrations.

Product Feedback and Documentation:

● Share real-world customer feedback, gaps, and edge cases with Product teams.

● Create deployment guides, runbooks, and internal documentation.

Requirements:

● 4-8 years of experience in customer-facing technical roles.

● Strong understanding of ETL pipelines and data workflows.

● Experience working with AWS, GCP, or Azure cloud environments.

● Knowledge of cloud networking fundamentals.

● Knowledge of Java, Spring Boot, Python, and Postgres is a must.

● Familiarity with SQL, APIs, monitoring, and logging tools.

● Strong troubleshooting and problem-solving skills.

● Excellent written and verbal communication skills.

● Experience with SaaS, FinTech, or enterprise platforms.

● Prior roles in Solutions Engineering, Deployment Engineering, or Technical Support (L2/L3).

● Startup or high-growth environment experience.

● Effective Communication: Clear and precise communication to collaborate effectively across teams.

● Curiosity and Growth: A proactive learner with a passion for continuous improvement and innovation.

About CAW Studios

CAW Studios is a Product Engineering Company of 150+ geeks.

We have built these products - Interakt, CashFlo, KaiPulse, and FastBar. And we still run their complete engineering.

We are part of the engineering teams for Haptik, EmailAnalytics, GrowthZone, Reliance General Insurance, and KWE Logistics.

We are obsessed with automation, DevOps, OOPS, and SOLID. We are not into one tech-stack - we are into solving problems.

Find us: https://goo.gl/maps/dvR6L26JUa42

Website: https://www.caw.tech/

Automation SDET (Java + Selenium)

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for a highly skilled Automation SDET with strong expertise in Java-based test automation. This role is ideal for professionals who enjoy owning automation strategy, designing robust test frameworks, and mentoring team members while remaining hands-on.

You will work closely with development, product, and DevOps teams to ensure high-quality software delivery in an Agile environment.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java and Selenium
• Perform API automation testing using Rest Assured
• Create and execute automated and manual test cases, test scripts, and test plans
• Prepare and maintain Traceability Matrix (RTM) and test documentation
• Apply BDD frameworks (Cucumber or similar) for automation scenarios
• Execute database validations using SQL queries
• Lead and mentor a medium-sized QA team while remaining hands-on
• Contribute to automation strategy, test design techniques, and best practices
• Participate actively in Agile ceremonies and collaborate across onsite–offshore teams
• Track defects and test execution using tools like ALM and JIRA
• 
  

Must-Have Skills

• 5+ years of experience in Automation Testing / SDET roles
• Strong hands-on expertise in Java and Selenium
• In-depth understanding of Core Java concepts:
• 
  
• OOP principles
• Collections Framework
• Exception Handling
• 
  
• Hands-on experience with API automation (Rest Assured)
• Strong SQL skills for backend data validation
• Experience working with BDD frameworks (Cucumber, etc.)
• Solid understanding of software QA methodologies, tools, and processes
• 
  

Leadership & Collaboration Skills

• Ability to work independently and take ownership of deliverables
• Experience leading and mentoring a QA team
• Comfortable working in an onsite–offshore delivery model
• Strong communication and stakeholder management skills
• 
  

Good to Have

• Experience with CI/CD tools (Jenkins, Git, Maven/Gradle)
• Exposure to cloud-based testing or microservices architectures
• Domain experience in BFSI, Telecom, or Retail (preferred but not mandatory)

Job Title : Data Engineer – Databricks

Experience : 6+ Years

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

Shift : IST (Normal Shift)

Job Summary :

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

Required Skills :

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

Preferred :

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

Job Summary

We are seeking an experienced BI Developer with strong expertise in Power BI/Tableau and Azure to support large-scale business intelligence initiatives, including report development, dashboarding, and platform transformation.

The ideal candidate will have a strong focus on data visualization, storytelling, and analytics delivery, along with experience in BI platform management and migration. You will play a key role in designing intuitive, high-impact dashboards and ensuring business users have actionable insights readily available.

Key Responsibilities

BI Development, Visualization and Dashboarding

• Design and implement reports, interactive dashboards, and data models using BI tools to enable data-driven decision-making
• Work with Data Product Owners and stakeholders to understand analytical goals and translate them into impactful dashboards
• Develop intuitive, visually compelling dashboards with a strong focus on usability and storytelling
• Identify and rapidly resolve issues related to data visualization, performance, and user experience
• Ensure consistency, standardization, and reusability across dashboards and reporting layers

BI Migration and Transformation

• Lead or support migration of reports and dashboards across BI platforms (e.g., Tableau to Power BI)
• Translate existing reports into optimized, scalable Power BI solutions
• Improve reporting frameworks during migration for better performance and usability

Data Modeling and Integration

• • Develop robust data models using Power BI (DAX, Power Query) or equivalent tools
• • Work closely with data engineers, analysts, and scientists to build reliable datasets for reporting
• • Validate and optimize data pipelines feeding BI systems
• • Ensure data accuracy, consistency, and governance across reporting solutions

Collaboration and Cross-Functional Delivery

• Collaborate closely with data engineers, data analysts, and data scientists to deliver end-to-end analytics solutions
• Work with business stakeholders to refine requirements and improve reporting outcomes
• Contribute to building scalable and reusable reporting frameworks

BI Platform Administration and Management

• Administer BI platforms such as Power BI, Tableau, or SAP BO
• Manage workspaces, access control, tenant settings, and user permissions
• Handle capacity planning, cost optimization, and resource utilization
• Perform regular housekeeping and monitor usage to optimize platform efficiency

Platform Maintenance and Reliability

Ensure platform performance, scalability, security, compliance, and uptime

Plan and execute platform maintenance, including patching and release management

Support platform “evergreening” and manage audit logs for troubleshooting

Infrastructure, Deployment and Monitoring

• Support installation, configuration, and setup of BI tools and environments
• Design and implement deployment architecture for BI solutions
• Build automated health checks, monitoring, and alerting mechanisms
• Integrate monitoring with enterprise systems (e.g., NOC) and ensure support readiness

Governance and Quality

• Ensure data and reporting governance across dashboards and BI platforms
• Implement best practices for report design, performance optimization, and security
• Contribute to audit, compliance, and data quality initiatives

Standardization and Optimization

• Drive standardization and consolidation of BI tools and reporting frameworks
• Monitor usage patterns, identify inefficiencies, and optimize cost and performance
• Build reusable visualization frameworks and design standards

Required Qualifications

• 4+ years of experience in BI development and platform management
• Strong expertise in Power BI / Tableau / SAP BO
• Experience with Azure and GCP environments
• Strong experience in dashboard development, data visualization, and storytelling
• Hands-on experience in data modeling (DAX, Power Query, or equivalent)
• Experience working with enterprise data warehouses and large datasets
• Strong SQL skills for data extraction and validation
• Understanding of BI governance, performance optimization, and security
• Ability to work with cross-functional teams and translate business needs into analytics solutions

Preferred Qualifications

• Experience with Power BI tenant administration and capacity management
• Familiarity with CI/CD pipelines for BI deployments
• Exposure to enterprise monitoring and support environments
• Experience in BI migration or transformation projects
• Understanding of modern data architectures (data lake, lakehouse, cloud analytics platforms)

Job Description

Data Quality Operations Lead

Location: India (Client Site / Offshore)

Employment Type: Full-Time

Education: BTech

Department: Utility Division

Position Overview

We are seeking an experienced and highly analytical Data Quality Operations Lead to oversee data quality initiatives for a portfolio of strategic clients. This role serves as the primary liaison between the client and internal operational teams, ensuring the completeness, accuracy, timeliness, and integrity of critical business data.

The ideal candidate will possess exceptional communication skills, strong client-facing experience, advanced analytical capabilities, and the ability to manage data quality operations in a fast-paced US BPO environment. The candidate will work closely with client stakeholders, internal operational teams, engineering, analytics, and leadership to drive continuous improvements in data quality, reporting, and operational excellence.

This position requires regular interaction with client teams and therefore demands excellent verbal and written communication, professional presentation skills, stakeholder management, and relationship-building abilities.

Key Responsibilities

Client Relationship Management

• Serve as the primary Data Quality Point of Contact for assigned client accounts.
• Build and maintain strong professional relationships with client stakeholders.
• Participate in client meetings, business reviews, and operational discussions.
• Communicate data quality updates, risks, issues, and resolutions effectively.
• Manage client expectations through proactive communication and timely follow-ups.
• Collaborate with Customer Success, Data Advisory, and Operations teams to ensure client satisfaction.

Data Quality Ownership

• Own end-to-end data quality management for assigned client portfolios.
• Conduct periodic data quality assessments and health checks.
• Monitor data completeness, accuracy, consistency, and audit readiness.
• Identify data anomalies, duplicates, missing records, overlaps, and data gaps.
• Ensure all data quality issues are tracked, prioritized, and resolved within agreed timelines.
• Drive continuous improvement initiatives to enhance overall data quality performance.

Reporting & Analytics

• Prepare and deliver recurring operational and data quality reports.
• Generate weekly, monthly, and quarterly performance reports.
• Create dashboards, trend analyses, Pareto reports, and executive summaries.
• Present insights and recommendations to internal leadership and client stakeholders.
• Translate complex data findings into actionable business recommendations.
• Maintain accurate documentation and reporting records.

Incident Management & Root Cause Analysis

• Lead data quality incident investigations and resolution activities.
• Perform root cause analysis and identify corrective and preventive actions.
• Coordinate with cross-functional teams to ensure timely resolution of issues.
• Monitor recurring issues and implement long-term solutions.
• Document incident findings, lessons learned, and process improvements.

Operational Excellence

• Establish and maintain quality control processes and standards.
• Develop SOPs, playbooks, operational guides, and knowledge repositories.
• Ensure compliance with organizational and client-specific quality standards.
• Identify opportunities for automation and process optimization.
• Support continuous improvement initiatives across operations.

Cross-Functional Collaboration

• Work closely with Engineering, Product, Analytics, Operations, and Customer Success teams.
• Coordinate activities across multiple stakeholders to achieve business objectives.
• Support implementation of new tools, technologies, and automation initiatives.
• Participate in process improvement and operational transformation projects.

Required Qualifications

Education

• Bachelor's Degree in Information Technology, Computer Science, Engineering, or a related field.
• Master's Degree (MBA or equivalent) preferred.

Experience

• 5+ years of experience in:
• Data Quality Management
• Data Operations
• Business Operations
• Data Governance
• Client Services or Account Management
• Minimum 2+ years of direct client-facing experience.
• Experience working with US clients and global teams preferred.
• Proven experience managing multiple client accounts or operational portfolios.

Required Skills & Competencies

Communication Skills

• Excellent verbal and written English communication.
• Strong presentation and facilitation skills.
• Ability to communicate effectively with clients, leadership, and cross-functional teams.
• Professional email writing and business communication skills.

Client Management

• Strong client handling and stakeholder management abilities.
• Experience conducting client meetings and business reviews.
• Ability to build trust and maintain long-term client relationships.

Analytical Skills

• Strong analytical and problem-solving capabilities.
• Ability to identify trends, patterns, and root causes.
• Data interpretation and decision-making skills.

Reporting Skills

• Expertise in report generation and business reporting.
• Experience preparing executive summaries and performance dashboards.
• Strong attention to detail and accuracy.

Technical Skills

• Advanced Microsoft Excel.
• SQL (Preferred).
• Power BI, Tableau, or other BI tools.
• Data Analysis and Reporting Tools.
• Microsoft Office Suite.

Preferred Qualifications

• Experience in Utility Data Management.
• Experience in Commercial Real Estate, Energy, or Sustainability domains.
• Knowledge of ENERGY STAR, GRESB, ESG, or GHG Reporting Frameworks.
• Experience working with SaaS platforms.
• Exposure to Data Governance and Data Quality Frameworks.

Key Performance Indicators (KPIs)

• Data Accuracy Rate
• Data Completeness Rate
• Client Satisfaction Score (CSAT)
• Issue Resolution Time
• SLA Adherence
• Incident Closure Rate
• Reporting Accuracy
• Audit Readiness Score
• Stakeholder Satisfaction
• Process Improvement Contributions

What Success Looks Like

The successful candidate will:

• Deliver highly accurate, complete, and reliable data for assigned clients.
• Build strong and trusted client relationships.
• Provide insightful reporting and actionable recommendations.
• Resolve data quality issues proactively and efficiently.
• Drive operational excellence and process improvements.
• Consistently exceed client and organizational expectations.
• Contribute to the overall growth and success of the business.

Are you passionate about creating impactful tech products for Bharat? Join us on an exciting journey to build a multi-million-dollar revenue products from scratch for Bharat.

Open Position: 3 Product Manager / Product Owners. Basically people who can take whole product (consumer app, B2C, i hope you research enough to figure the apps out) from me and scale it end to end.

What we’re looking for:

 • Strong first-principles thinking and user empathy

 • Eagerness to learn quickly

 • Strong in communication

 • AI-first mindset - non negotiable after this december update :)

 • Experience matters less than your enthusiasm to learn and contribute

Why join us?

 •⁠ ⁠Work on solving real problems for Bharat users on scale (5M+ app downloads and growing fast)

 •⁠ ⁠Competitive salary. No bar for the right talent!

 •⁠ ⁠Be part of an ambitious, visionary team

 •⁠ ⁠High ownership, high impact from Day 1

Why NOT to join us? - more important than why join us

 •⁠ ⁠You are someone who need established systems rather than building them, lets meet after 2 years(maybe!)

 •⁠ You think idea to feature cycle should be more than 1 day

 •⁠ You think you know everything.

 •⁠ Looking for work life balance - not the place. You deserve better place.

 •⁠ Ambiguity paralyses you.

Location: Bangalore (Onsite)

Hiring for: An emerging general insurance business in India. AI-led, fast and transparent.

Role: Backend Engineer (Node.js & TypeScript) | SDE-1

Experience: 1 to 3 Years

Location(s): Mumbai - Work from office (Vikhroli)

Type: On-site / Permanent

Notice Period: Immediate to 30 days

Note: Candidates only from Strong product-based startups / product companies required

& Candidates from premier engineering institutes (IITs, NITs, BITS, IIITs, DTU, NSUT, etc.) are preferred.

We're looking for a Software Engineer who thrives on building scalable systems from the ground up, enjoys working across the stack, and wants to be part of an incredible 0 to 100 journey.

Roles and Responsibilities:

• Design and develop world-class insurance tech solutions from the ground up.
• Own features end-to-end – from API design to deployment, ensuring performance and scalability.
• Play a key role in shaping technical decisions, architecture, and best practices.
• Iterate quickly based on user feedback, balancing speed and scalability.

Required skills:

• 1+ years of experience in backend engineering.
• Proficiency in Node.js, and TypeScript, APIs, databases.
• Experience working with and building backend systems that have been used in the real world.
• Ability to navigate different stages of product development - from scrappy MVPs to scalable architectures.
• Passion for building customer-driven products and solving real-world problems. This is a rare opportunity to shape a product from the ground up, work with a stellar team, and transform the insurance space with technology. If that excites you, we’d love to chat!

Benefits:

• Greenfield Opportunity : Build scalable products from scratch in a rapidly evolving sector.
• End-to-End Ownership : Work across the stack, shaping product experiences for scale.
• Learn from the Best : Collaborate with an exceptional leadership team with deep expertise in tech and insurance.
• Impact at Scale: Be part of an early-stage team revolutionizing a trillion-dollar industry.

Hands-on experience in developing Restful APIs and Web Services.

Knowledge of Django, FastAPI (or any other established Python web frameworks) would be a plus.

Knowledge of Angular or React or similar technologies would be an added advantage.

Strong experience with relational (PostgreSQL, MySQL) and/or NoSQL databases.

Experience working with Linux/Unix Operating system & comfortable with command line.

Experience with modern software engineering workflows and tools (e.g. Agile, JIRA, Git, CI/CD, Amazon Web Services, Observability and Monitoring tools like ELK, Datadog, NewRelic, etc.).

Extremely passionate about code reviews, engineering best practices and mentoring/coaching the developers to make them successful.

Excellent understanding of feature estimation and ability to communicate issues and risks that may impact timelines, budget, or resources.

Experience with Agile development lifecycle

Job Title : Automation Testing Engineer

Experience : 2 to 8 Years

Location : Chennai / Hyderabad

Work Mode : Work From Office

Mandatory Skills :

Playwright, TypeScript, Test Automation, Azure DevOps, SQL, and experience with IRT (Interactive Response Technology) platforms.

Key Responsibilities :

• Develop and maintain automated test scripts for web applications.
• Execute functional and regression testing to ensure application quality.
• Collaborate with development teams and stakeholders to validate requirements and test scenarios.
• Support test planning, execution, and defect tracking using Azure DevOps or similar tools.
• Perform data validation and ensure application reliability using SQL.

Required Skills :

• Strong experience in Test Automation using Playwright and TypeScript.
• Hands-on experience with IRT (Interactive Response Technology) platforms.
• Proficiency in Azure DevOps or similar test management tools.
• Good understanding of SQL and relational databases.
• Strong analytical, communication, and stakeholder management skills.
• Experience in Clinical Trials / Life Sciences domain is preferred.

Preferred Domain Experience :

• Exposure to randomization and patient allocation workflows.
• Understanding of blinding and unblinding processes.
• Knowledge of drug dispensing and inventory management.
• Experience with clinical study setup, execution, reporting, and data validation.

Contract: 6 months, with potential extension based on project needs and performance

Location: Bengaluru or Chennai, India

Work Mode: Hybrid from Infosys office from day one

Role Summary:

We are seeking a Senior Dynamics 365 CRM Developer / Technical Lead to design, build, integrate, and support Microsoft Dynamics 365 Customer Engagement solutions. The role includes hands-on development, technical leadership, support issue resolution, and mentoring junior developers in an Agile delivery environment.

Click to apply: https://forms.gle/iDRf1PaDyReoxisCA

Key Responsibilities:

- Develop and customize Microsoft Dynamics 365 CE Online solutions across Sales, Service, and Marketing modules.

- Build and maintain plugins, workflows, business process flows, Power Automate flows, and Dataverse customizations.

- Develop integrations using Azure Functions, Web API, REST APIs, JavaScript, C#/.NET, and SQL.

- Configure Dataverse security roles, data models, forms, views, business rules, and solution components.

- Use Azure DevOps for work tracking, source control, build/release processes, and delivery coordination.

- Troubleshoot CRM support issues, coordinate timely closure, and identify recurring problems for long-term fixes or cost optimization.

- Review code, guide junior developers, and ensure solutions follow agreed architecture, quality, and security standards.

- Participate in Agile/Scrum ceremonies, estimation, sprint planning, and delivery reporting.

Required Skills and Experience:

- 6+ years of hands-on experience, or equivalent practical expertise, in Microsoft Dynamics CRM / Dynamics 365 CE development.

- Strong experience with Dynamics 365 CE Online, Dataverse, plugins, workflows, Power Automate, C#/.NET, SQL, Web API, REST APIs, and Azure Functions.

- Experience with JavaScript-based CRM customizations and CRUD operations through Web API calls.

 Role Summary 

Looking for a skilled Full Stack Developer with expertise in Java Spring Boot and Angular/React to build and maintain scalable web applications.

 Key Responsibilities 

- Develop backend services using Java & Spring Boot

- Build responsive UIs with Angular/React

- Design and consume REST APIs & microservices

- Collaborate with cross-functional teams

- Ensure code quality, performance, and scalability

- Strong analytical skills to drive and clarify requirements with the client

 Required Skills 

- Strong experience in Java (Spring Boot)

- Proficiency in Angular and/or React

- Solid understanding of REST APIs & microservices

- Experience with SQL/NoSQL databases

- Knowledge of Git, CI/CD pipelines

 Good to Have 

- Cloud (AWS/Azure/GCP), Docker/Kubernetes

- Kafka/RabbitMQ, Agile methodologies

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data architectures, data lakes, and warehousing solutions.
• Integrate data from multiple APIs, databases, and third-party systems.
• Ensure data quality, consistency, security, and reliability across systems.
• Develop automated workflows for data ingestion, transformation, and validation.
• Work with structured and unstructured datasets at scale.
• Optimize SQL queries and database performance.
• Collaborate with backend, analytics, and AI teams for data-driven solutions.
• Monitor pipelines and troubleshoot production issues.
• Implement logging, monitoring, and alerting mechanisms for data systems.
• Maintain proper technical documentation and workflow diagrams.

Required Skills & Qualifications

• 2+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and database design.
• Experience with relational and NoSQL databases such as:
• MySQL
• PostgreSQL
• MongoDB
• BigQuery / Redshift / Snowflake
• Hands-on experience with ETL tools and data pipeline development.
• Strong programming skills in at least one language:
• Python
• Node.js
• Java
• Experience with cloud platforms:
• AWS / GCP / Azure
• Familiarity with data orchestration tools:
• Airflow
• Prefect
• Dagster
• Understanding of APIs, webhooks, and real-time data processing.
• Experience with Git and CI/CD workflows.
• Knowledge of Docker and containerized deployments.
• Good understanding of data security and governance practices.

Preferred Qualifications

• Experience with Apache Spark, Kafka, or distributed processing systems.
• Exposure to AI/ML data pipelines.
• Knowledge of analytics and BI tools such as:
• Power BI
• Tableau
• Looker
• Experience working in startup or fast-paced product environments.
• Familiarity with microservices architecture.

What We Offer

• Opportunity to work on scalable and impactful data systems.
• Collaborative and growth-focused work environment.
• Exposure to AI, analytics, and cloud-native technologies.
• Flexible work culture and learning opportunities.
• Competitive salary and performance-based growth.

Job Description & Responsibilities:

We are looking for a Business Analyst who is highly skilled to join and be part of an extremely motivated and passionate team, who can:

·       Elicit, analyze, specify, and validate the business needs of stakeholders, be they customers or end users.

·       Collaborate with project sponsors to determine project scope and vision.

·       Perform requirements analysis.

·       Work with stakeholders and project team to prioritize collected requirements.

·       Develops and utilizes standard templates to accurately and concisely write requirements specifications.

·       Develop Business Test Cases for testing the completeness of application from a business perspective

·       Translate conceptual customer requirements into functional requirements in a clear manner that is comprehensible to developers/project team.

·       Create process models, specifications, diagrams, and charts to provide direction to developers and/or the project team.

·       Manage and track the status of requirements throughout the project lifecycle; enforce and redefine as necessary.

·       Communicate changes, enhancements, and modifications of business requirements — verbally or through written documentation — to project managers, sponsors, and other stakeholders so that issues and solutions are understood.

·       Provides guidance and/or instruction to junior staff members.

 ·      Being detail-oriented and capable of delivering a high level of accuracy

Business Analyst Qualifications / Skills:  

·       Able to exercise independent judgment and take action on it

·       Excellent analytical, mathematical, and creative problem-solving skills

·       Excellent listening, interpersonal, written, and oral communication skills

·       Logical and efficient, with keen attention to detail

·       Ability to effectively prioritize and execute tasks while under pressure

·       Experience working in a team-oriented, collaborative environment

·       Proven capabilities in project and user-testing management

·       Proven development of innovative and impactful systems solutions

·       Extensive experience with data visualization

·       Highly proficient technical writing capabilities

·       An understanding of Credit and operational Risk is desired.

·       Candidates with banking/finance experience shall be preferred.

Education and Experience:

·       University degree in the field of business administration (MBA- Finance Preferred)

·       Proven experience with business and technical requirements analysis, elicitation, modelling, verification, and methodology development

·       Demonstrated project management skills and project management software skills, including planning, organizing, and managing resources.

·       Excellent understanding of the organization’s goals and objectives 

Role Overview

We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.

Please Note: This is not a pure Data Engineering role. We are looking for a true SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic with Python, ETL, Cloud. SQL mastery and database architecture are the absolute heart of this role.

If you are a database developer who loves diving into query execution plans, refactoring messy stored procedures for 10x performance, and building clean data models from scratch, this role is for you.

Key Responsibilities

1. Database Architecture & Schema Design

• Design, implement, and maintain robust relational database schemas.
• Architect optimal data models for both operational (OLTP) and analytical (OLAP/Data Warehousing) workloads.
• Implement Normalization (3NF) and dimensional modeling (Star/Snowflake schemas) as required.

2. Advanced Database Programmability

• Write, debug, and optimize highly complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
• Utilize advanced SQL techniques such as CTEs, Window Functions, and complex analytical queries to solve business problems.

3. Performance Tuning & Indexing

• Analyze query execution plans, identify performance bottlenecks, and implement advanced indexing strategies (B-Tree, Clustered/Non-Clustered, Partitioning).
• Refactor legacy SQL code and manage statistics, locking, and concurrency mechanisms to ensure sub-second response times.

4. Python & Cloud ETL/ELT Pipelines

• Develop, schedule, and maintain scalable data ingestion and transformation pipelines to connect disparate data sources.
• Leverage Cloud Data Platforms alongside modern Python libraries to build efficient data movement workflows.

5. Data Integrity & Governance

• Establish strict database constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.

Required Technical Skills

• Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing server-side logic (Stored Procedures/Functions) and complex queries in enterprise platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
• Advanced Database Optimization: Deep, under-the-hood understanding of database engines, execution plans, indexing strategies, and concurrency/locking control.
• Python for Data Engineering (3+ Years): Proficient in writing clean, modular Python scripts for API integration, data manipulation, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
• Cloud Data Experience: Hands-on experience working with, migrating to, or developing within major cloud environments (AWS, Azure, GCP) and modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
• Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, handling Slowly Changing Dimensions (SCD), and balancing normalization vs. denormalization.

Remote & Soft Skills

• Legacy Refactoring Mindset: You genuinely enjoy opening up a massive, poorly optimized 500-line legacy stored procedure and refactoring it for maximum efficiency.
• Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement in a fully remote setup.
• Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.

Nice-to-Haves

• Experience migrating legacy on-premise infrastructure and stored procedures to modern cloud data warehouses.
• Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
• Hands-on experience with dbt (data build tool) for in-warehouse transformations.

About the Role:

We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization.

Key Responsibilities:

• Data Modelling & Visualization
• Build scalable and high-quality data models in Power BI using best practices.
• Define relationships, hierarchies, and measures to support effective storytelling.
• Ensure dashboards meet standards in accuracy, visualization principles, and timelines.
• Data Transformation & ETL
• Perform advanced data transformation using Power Query (M Language) beyond UI-based steps.
• Design and optimize ETL pipelines using SQL, Python, and Big Data tools.
• Manage and process large-scale datasets from various sources and formats.
• Business Problem Translation
• Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions.
• Decompose business questions into testable hypotheses and identify relevant datasets for validation.
• Performance & Troubleshooting
• Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability.
• Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs.
• Analytical Storytelling
• Apply analytical thinking to design insightful dashboards—prioritizing clarity and usability over aesthetics.
• Develop data narratives that drive business impact.
• Solution Design
• Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility.

Required Skills & Experience:

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices.
• Hands-on with Python and SQL for data analysis, automation, and backend data transformation.
• Deep understanding of data storytelling, visual best practices, and dashboard performance tuning.
• Familiarity with DAX Studio and Tabular Editor.
• Experience in handling high-volume data in production environment.
• Exposure to Big Data technologies such as:
• PySpark (must have)
• Hadoop
• Hive / HDFS
• Spark Streaming (optional but preferred)

Why Join Us?

• Work with a team that's passionate about data innovation.
• Exposure to modern data stack and tools.
• Flat structure and collaborative culture.
• Opportunity to influence data strategy and architecture decisions.

Experience

9–18 Years

Education

IIT / NIT graduates only

Interview Process

Candidates must be available for a Face-to-Face interview in Bangalore or Mumbai.

Key Responsibilities

• Design and develop scalable, high-performance Java applications.
• Lead a team of engineers and drive technical excellence.
• Architect enterprise-grade solutions and provide technical guidance.
• Collaborate with cross-functional teams to define, design, and deliver high-quality software.
• Review code, mentor team members, and ensure engineering best practices.
• Drive system design discussions and resolve complex technical challenges.

Required Skills

• Strong expertise in Core Java and Java ecosystem.
• Excellent problem-solving and analytical skills.
• Very strong coding ability with clean coding practices.
• Strong understanding of System Design and distributed systems.
• Hands-on experience in Java Architecture and designing scalable applications.
• Experience leading engineering teams and mentoring developers.
• Good understanding of software design principles, design patterns, and performance optimization.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with Spring Boot, Microservices, REST APIs, and cloud technologies.
• Exposure to CI/CD, containerization, and modern DevOps practices is an advantage.

Full Stack Engineers 

Location: Chennai 

Experience: 3+ Years 

Required Skills: 

• Strong knowledge of C#, .NET Core, Azure DevOps 
• Working knowledge of the JS frameworks – React, Angular etc 
• Experience in container-based development, AKS, Service Fabric etc 
• Experience in messaging queue like RabbitMQ, Kafka 
• Experience in Azure Services like Azure Logic Apps, Azure Functions 
• Experience in databases like SQL Server, PostgreSQL 

Job Description: 

We are looking for experienced product development engineers/experts who could join our cloud product engineering team to build the next gen applications for our global customers. If you are a technology enthusiast and have passion to develop enterprise cloud products with quality, security, and performance, we are eager to discuss with you about the potential role. 

Responsibilities: 

• Understand the business requirements and technical constraints and architect/design/develop. 
• Participate in the complete development life cycle. 
• Review the architecture/design/code of self and others. 
• Develop enterprise application features/services using Azure cloud services, C# .NET Core, ReactJS etc, implementing DevSecOps principles. 
• Own and be accountable for the Quality, Performance, Security and Sustenance of the respective product deliverables. 
• Strive for self-excellence along with enabling success of the team/stakeholders. 

Requirements: 

• 3 to 12 years of experience in developing enterprise software products 
• Knowledge of reporting solutions like PowerBI, Apache SuperSet etc 
• Knowledge of Micro-Services and/or Micro-Frontend architecture 
• Knowledge of Code Quality, Code Monitoring, Performance Engineering, Test Automation Tools 

Key Responsibilities and Duties

• Lead technical solution design:
• Lead the design of technical solutions that meet business requirements.
• Ensure technical solutions are scalable, reliable, and maintainable.
• Ensure technical solutions align with enterprise architecture and technology standards.
• Ensure the implementation of technical solutions for quality and performance.
• Define technical architecture:
• Define technical architecture and standards for new and existing systems.
• Ensure technical architecture aligns with business and technology strategies.
• Continuously evaluate and update technical architecture to meet changing business needs.
• Present the architecture to stakeholders.
• Provide technical guidance and expertise:
• Provide technical guidance and expertise to development teams.
• Collaborate with development teams to ensure technical solutions are implemented correctly.
• Ensure technical solutions meet functional and non-functional requirements.
• Develop and maintain technical documentation:
• Develop and maintain technical documentation, including architecture diagrams, specifications, and standards.
• Ensure technical documentation is accurate and up to date.
• Ensure technical documentation is accessible to relevant stakeholders.
• Manage technical risk and compliance:
• Identify and manage technical risks associated with technical solutions.
• Ensure technical solutions comply with regulatory and security standards.
• Monitor and report on technical compliance.
• Collaborate with other departments:
• Collaborate with other departments to ensure technical solutions align with business needs.
• Build strong relationships with key stakeholders.
• Provide technical guidance and support to other departments as necessary.
• Mentor and coach technical staff:
• Mentor and coach technical staff to improve their skills and knowledge.
• Provide feedback and performance evaluations to technical staff.
• Develop technical staff to assume greater responsibilities.
• Continuously improve technical architecture and design processes:
• Continuously improve technical architecture and design processes and tools.
• Ensure adherence to technical architecture and design standards and best practices.
• Identify and implement process improvements to increase efficiency and effectiveness.

Mandatory skills

Project Mandatory Skills

Project Desired Skills

• Designing enterprise grade systems from scratch
• Developing prototypes for custom frameworks
• Design and Develop custom workflow engines
• Worked with various database like Oracle, SQL, Postgres, Cosmos, MySQL, NoSQL etc
• Work experience with systems involving ETL processing (Pentaho or SSIS or Informatica)
• Work experience with Reporting tools (PowerBI)
• Work experience with Data Analytics
• Well-verse with Cloud services knowledge either Azure or AWS. Azure is desired
• Expertise in designing solutions for Cross-cutting concerns like Centralized logging, Observability, Activity Traceability, Security Mgmt., File exchange, Integration with external systems etc
• Very good verbal communication to interact with stakeholders
• Very good knowledge to use AI Coding Agents like Claude Code or Codex or Github Copilot for developing custom frameworks
• Very good knowledge to add workflows in the tools like Github or Static code analysis etc to automate the review processes
• Well-verse with Cloud services knowledge either Azure or AWS. Azure is desired
• Retail industry knowledge is desired skills
• Working with a team size of 20 is desired
• Working in any Legacy transformation to modern enterprise system
• Togaf certification
• Use of ADO and Azure Repo, Azure DevOps pipelines

Qualifications

• Bachelor’s degree in computer science, Information Technology, or related field.
• 12 – 15 years of experience in technical architecture and design in IT organizations.
• Strong understanding of enterprise architecture principles and best practices.
• Experience with a wide range of technologies and platforms.
• Strong leadership, communication, and collaboration skills.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Ability to influence and negotiate with stakeholders.
• Strong problem-solving and analytical skills.

About Oddr

Oddr is an AI-powered revenue-intelligence platform for the legal industry, helping law firms modernize billing, collections, reconciliation, and revenue forecasting across the full invoice-to-cash lifecycle.

Why this role exists

• We're building an end-to-end regression suite from the ground up.
• You'll own that layer. You decide what's worth testing, automate it well, validate new features by hand before they enter regression, and keep the suite trustworthy as the product evolves.
• You'll set the standards the rest of the team works to, and mentor other engineers if needed be a quality champion embedded across the full software development lifecycle ensuring we ship reliable, performant software at pace.
• This is a quality engineering role, not a manual-only QA role. You'll write code, think like a product person, and use AI-assisted tooling to move fast.

What you'll do

•  Own the regression suite end to end - its architecture, conventions, quality bar, and roadmap. You're the person who decides how we test and why.
• Decide what to test. Read a feature, assess risk, and choose the thin layer of E2E coverage that integration tests can't provide - rather than chasing coverage metrics or duplicating existing tests.
• Test new features by hand, then automate them. Exploratory and scenario-based testing of new functionality, followed by adding the durable cases to the Playwright suite.
• Build and maintain automated E2E and cross-service API tests in Playwright + TypeScript that are independent, idempotent, and readable as living specifications.
• Keep the suite trustworthy. Enforce deterministic selectors and assertions, eliminate hardcoded waits, and quarantine flaky tests immediately rather than letting them erode confidence.
• Shape quality upstream. Partner with product and engineering to clarify acceptance criteria and Definition of Done and raise quality risks while they're still cheap to fix.
• Use AI-assisted tooling to accelerate authoring and maintenance (e.g., Claude Code, Playwright MCP, Copilot) - while keeping committed tests deterministic and reviewed.

Must-haves

• Hands-on browser automation with Playwright (or strong Cypress/Selenium with willingness to move to Playwright), in TypeScript/JavaScript. This is the core of the job.
• Ownership mindset - you can take a test suite as your own, set its standards, make and defend trade-off decisions, and say no when coverage isn't worth it.
• Product and feature literacy - you can look at a feature, reason about what matters to users, and translate that into the right tests, acceptance criteria, and risk-based priorities.
• Strong exploratory and scenario-based testing - boundary, negative, and edge-case thinking. (We value this highly; we simply require that you can also automate.)
• Sound E2E test-design judgment - test independence, deterministic and accessibility-first selectors, no hardcoded delays, and disciplined handling of async/timing.
• API testing of REST services and comfort reading Swagger/OpenAPI specs.• Solid SQL skills for data validation and defect investigation.
• Git / pull-request workflow and familiarity with CI/CD (Azure DevOps a plus).
• Clear communication and the ability to mentor; comfortable in Agile/Scrum/Kanban.

Nice-to-have

• Comfort with AI-assisted development tooling (Claude Code, Playwright MCP, Copilot) as an accelerant for writing and self-healing tests.
• Experience building or substantially evolving a test suite from scratch, not just maintaining one.
• Domain exposure to LegalTech, FinTech, or Billing/AR workflows.
• Familiarity testing React applications and component libraries (e.g., Ant Design).
• Awareness of non-functional testing (performance, accessibility, security).

How we work

• Tech: Playwright + TypeScript (unified for E2E and cross-service API), React frontend, .NET backend,Azure DevOps CI/CD.
• AI-first tooling: We actively use AI to author and maintain tests faster - but we hold a high bar on determinism, readability, and flake-free reliability. Tools accelerate the engineer; they don't replace the engineer's judgment.
• Quality bar: UI correctness over presence-only checks; tests read like specifications; flaky tests are quarantined on sight.

What we offer

Competitive salary, performance bonus, and equity (ESOPs); comprehensive health insurance (self, spouse, parents, children); flexible remote-first culture.

Job Responsibilities

The Software Engineer EIS Developer develops EIS and Java code for intermediate modules, participates in design reviews, conducts code reviews, creates test plans and resolves moderate defects.  The Developer designs, documents, reviews, and maintains components of software solutions for intermediate projects.  It also includes reacting to production problems or supporting production changes where those applications are operating.

• Strong understanding of EIS (V12 or V20) and Core Java concepts
• 5-7 year of experience
• Knowledge of the Insurance business is a plus
• Highly motivated with good written and oral communication skills.
• Ability to lead conversations and coordinate activities across various time zones.
• Flexibility to adapt to changing priorities and assignments, ability to work well under pressure, as well as ability to work independently.
• Ability to be accountable for key processes of high complexity, high risk, and high visibility.
• Ability to learn new skills quickly and willingness to challenge yourself
• Advanced SQL skills (individuals need to have solid SQL debugging and tuning skills)
• Advanced Oracle Knowledge
• Intermediate UNIX

Primary Skills

• EIS V12 or V20
• Product Factory (V12)
• Kraken Rules (V20)
• Java & React
• OOPS
• Java SpringBoot
• SOAP/REST/JSON
• TDD(Unit/Integration/Acceptance)
• Code Refactoring
• GIT 
• Coding standards
• Build Process
• Security (Web security/API Security)
• HTML/CSS
• Cloud Infrastructure
• Jenkins/Gradle
• Strong communication skills
• Strong analytical ability

Experience

• Overall experience of 5 -7 years of software development
• At least 3 years of experience as a Java and React development
• At least 1 year as a full stack developer with Cloud/PCF experience
• Wide experience with a diverse set of technologies, approaches, tools, etc. would be ideal.
• Good knowledge of Java programming, SQL, Unix
• Exposure and knowledge to Agile methodologies
• Experience in Java development and web front-end development.
• Experience deploying to cloud environments a plus
• Exposure to test-driven development
• Strong communication skills
• Passion for growing your skills, tackling interesting work and solving challenging problems
• Enthusiasm for community, learning, and collaboration
• Excitement about open source software

Shift Timing

·        13:00 - 21:30 PM for overlap with onsite business partner

About Marseer AI

Marseer AI (www.marseerai.com) is a modular AI activation platform built for DTC and retail e-commerce brands. damStack is Marseer AI's Snowflake-native, dbt-driven data and marketing activation product. It follows a Listen -> Reflect -> React architecture across composable applications, each running inside a customer's own Snowflake data warehouse.

Role Overview

We are looking for a Senior Data Engineer to join the damStack engineering team at Marseer AI. You will design and implement data pipelines, dbt transformation models, and Snowflake-native data products for retail and e-commerce brands. This is a hands-on, high-ownership role across ingestion, transformation, activation workflows, and client onboarding.

What You Will Do

- Design, build, and maintain dbt models across staging, intermediate, and mart layers for customer identity, segmentation, journey orchestration, and activation outputs.

- Implement incremental dbt models, snapshots, and tests to ensure data freshness, accuracy, and reliability.

- Contribute to damStack's Open Schema and unified customer_360 semantic layer.

- Build and refine SQL-based rule engines in Snowflake for priority resolution, frequency capping, and activation orchestration.

- Configure and manage Airbyte connectors for bidirectional data sync such as MongoDB to Snowflake and Snowflake to Klaviyo.

- Build and maintain Dagster pipelines to orchestrate dbt runs, Airbyte sync jobs, and cross-pipeline dependencies.

- Support integration of external marketing platforms into the damStack data layer.

- Work directly with client brands to understand data sources, schemas, and business requirements.

- Translate client data into damStack's standardized activity schema and entity resolution framework.

- Troubleshoot data quality and integration issues in client environments.

- Contribute to single-tenant Snowflake deployments, data quality tests, monitors, alerting, and technical design documentation.

Requirements

- 5+ years of professional experience in data engineering.

- Advanced proficiency in dbt Core or Cloud, including incremental models, snapshots, tests, macros, and multi-layer DAG design.

- Strong hands-on Snowflake experience, including DDL/DML, Snowflake Tasks, query optimization, and multi-tenant data architecture.

- Expert-level SQL, including window functions, CTEs, complex joins, and performance tuning.

- Ability to communicate pipeline designs and technical decisions clearly to technical and non-technical stakeholders.

Strongly Preferred

- Experience with Airbyte or comparable ELT / connector platforms.

- Familiarity with Dagster or similar orchestration tools such as Airflow or Prefect.

- Prior experience in a SaaS or data product company shipping reusable, multi-tenant data infrastructure.

- Understanding of identity resolution patterns, surrogate key architectures, customer data platforms, or experimentation / A/B testing data pipelines.

Good to Have

- Familiarity with Klaviyo or other marketing activation / ESP platforms.

- Experience with MongoDB or document-store integrations.

- Prior experience in retail or e-commerce data domains.

What We Are Looking For

- Availability for US business hours, with at least 5 hours of overlap with America/New_York.

- Ownership mindset, attention to schema naming, test coverage, documentation, and reliable pipelines.

- Collaborative, structured communication with a distributed team.

What We Offer

- Compensation range: INR 20-30 LPA.

- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.

- High-ownership engineering work on Snowflake, dbt, Airbyte, and Dagster.

- Direct exposure to real DTC and retail e-commerce data problems at scale.

- A small, senior team where your contributions are visible.

Experience: 2+ Years

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

Data Analyst

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

Key Responsibilities

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

Key Skills & Qualifications

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

Preferred Skills (Good to Have)

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

Sr Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference.

At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress.

Business Summary :

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Position Responsibilities :

• Collaborate with the development team to maintain, enhance, and scale the product for enterprise use.
• Design and develop scalable, high-performance solutions using cloud technologies and containerization.
• Contribute to all phases of the development lifecycle, following SOLID principles and best practices.
• Write well-designed, testable, and efficient code with a strong emphasis on Test-Driven Development (TDD), ensuring comprehensive unit, integration, and performance testing.
• Ensure software designs comply with specifications and security best practices.
• Recommend changes to improve application architecture, maintainability, and performance.
• Develop and optimize database queries using T-SQL.
• Prepare and produce software component releases.
• Develop and execute unit, integration, and performance tests.
• Support formal testing cycles and resolve test defects.

AI-Specific Responsibilities:

• Integrate AI-powered tools and frameworks to enhance code quality and development efficiency.
• Utilize AI-driven analytics to identify performance bottlenecks and optimize system performance.
• Implement AI-based security measures to proactively detect and mitigate potential threats.
• Leverage AI for automated testing and continuous integration/continuous deployment (CI/CD) processes.
• Guide the adoption and effective use of AI agents for automating repetitive development, deployment, and testing processes within the engineering team.

Qualifications :

• Bachelor’s degree in Computer Science, IT, or a related field.
• Highly proficient in ASP.NET Core (C#) and full-stack development.
• Experience developing REST APIs.
• Proficiency in front-end technologies (JavaScript, HTML, CSS, Bootstrap, and UI frameworks).
• Strong knowledge of cloud platforms (Azure preferred), including scalability and enterprise cloud. 
• Strong database experience, particularly with T-SQL and relational database design.
• Advanced understanding of object-oriented programming (OOP) and SOLID principles.
• Experience with security best practices in web and API development.
• Knowledge of Agile SCRUM methodology and experience in collaborative environments.
• Experience with Test-Driven Development (TDD).
• Strong analytical skills, problem-solving abilities, and curiosity to explore new technologies.
• Ability to communicate effectively, including explaining technical concepts to non-technical stakeholders.
• High commitment to continuous learning, innovation, and improvement.

AI-Specific Qualifications:

• Proficiency in AI-driven development tools and platforms such as GitHub Copilot in Agentic Mode.
• Knowledge of AI-based security protocols and threat detection systems.
• Experience integrating GenAI or Agentic AI agents into full-stack workflows (e.g., using AI for code reviews, automated bug fixes, or system monitoring).
• Demonstrated proficiency with AI-assisted development tools and prompt engineering for code generation, testing, or documentation.

AI-First Mindset Requirement:

This role requires embracing an AI-first approach to work, where GenAI and agentic AI tools are viewed as essential collaborators rather than optional supplements. We expect team members who naturally think in terms of AI-enhanced workflows, proactively seek opportunities to integrate intelligent automation, and demonstrate curiosity about leveraging AI to solve complex problems more efficiently.

The ideal candidate approaches challenges by first considering: "How can AI help me accomplish this faster and better?" while maintaining high standards for quality, security,

Hiring for Azure Data Lead

Exp : 12 - 16 yrs

Edu : BE/B.tech

Permanent Remote

Notice period : Immediate - 15 days

Skills :

Microsoft Fabric (OneLake, Lakehouse, Warehouse)

Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Gen2, Delta Lake / Medallion Architecture

Power BI (Semantic layer, DAX)

Databricks SQL & T-SQL, PySpark / Python

Data Modelling (Star/Snowflake)CI/CD & DevOps for Data (Git, Pipelines)

8+ years data engineering / 3+ as leadTechnical leadership & stakeholder management

Role & Responsibilities

What You'll Do

• Design, build, and ship production-grade backend services in a microservices environment
• Work directly with clients to understand requirements, solution their use cases, and integrate/deploy our product in their environment
• Own problems end-to-end — build, deploy, debug in the client's setup, and see it through to production
• Lead technical discussions with client engineering and business teams, translating their needs into working solutions
• Build integrations with third-party systems and APIs within customer environments
• Collaborate cross-functionally with internal product and engineering teams to feed client learnings back into the product

Ideal Candidate

• Strong Backend Engineer with robust Micro-services experience
• Mandatory (Experience): Must have 4+ years of hands-on experience in backend software engineering with 2+ years in a product company
• Mandatory (Skill 1): Must have hands-on experience building and running applications in a Micro-services setup - designing services, REST APIs, and service-to-service communication
• Mandatory (Skill 2): Must have strong production-grade experience in building and shipping real services in Java or Node.js (Java is highly preferred)
• Mandatory (Company): Product companies (B2B SaaS is preferred)
• Mandatory (Education): B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS Pilani)
• Preferred (Experience): Must have worked directly with external customers in an engineering capacity - solutioning, integrating, or deploying the product in the customer's environment and handling technical discussions with their teams
• Preferred (Databases): Comfortable with both SQL and NoSQL databases

Job Description: 

Job Title: QA/Test Management Engineer

Location: Bangalore & Mumbai

Experience Level: 2-8 Years

Notice period: Immediate to serving notice period up to 45 days

You will:

. Part of a Global test management team working in the Regulatory reporting domain.

. Collaborate with a wide range of colleagues all over the technology and business domain.

Have a good knowledge about testing concepts- including but not limited to understanding

business requirement, defining test scope, ability to collaborate with business/automation

stakeholders and executing tests, bug/defect tracking and closure.

. Demonstrate a high level of subject matter expertise to bridge functional requirements and technical solution.

. Strong working knowledge of various test types including white-box, black-box,

positive/negative, edge cases, etc.

. Solid test design skills, test case writing, automation, and analysis.

. Strong working knowledge of various test phases including functional, integration and

Regression.

. Strong working experience in running the test suite, investigating the failures and can fix or get it fixed, raise bugs, etc.

. Work closely with Dev and Business Analyst team to understand the functional requirements.

. Actively participate in squad ceremonies Sprint Refinements, Planning, Retrospective and

daily standups.

. Ability to learn new things and exhibit innovative testing approach.

. Strong ability and problem-solving Skills.

You must have:

. Ability to test applications thoroughly before deployment to ensure that they are free of

errors.

. 2-8 years 'experience in test automation or feature development (programming experience)

. Should be able to work with geographically dispersed Dev & QA team in a very dynamic,

rapidly evolving, and high pressure, high visibility project setting.

. Experience of working in a fast-paced Agile framework.

. Ability to challenge status quo and think of out-of-the box solutions to existing problems.

. Excellent problem-solving skills.

. Knowledge of trade lifecycle. product types/asset class types.

. Willingness to guide fellow team members in learning new technologies.

You might also have:

. Understanding of DevOps for complex systems

. Knowledge of Transaction Reporting, OTC Derivatives, Post Trade processing activities.

. Experience with continuous deployment tools and practices

. Experience with automation tools such as Python/PowerBI

PHP AI Developer

We are seeking a highly skilled PHP AI Developer with experience in building intelligent web applications, AI-powered automation solutions, and scalable enterprise systems. The ideal candidate should have strong expertise in PHP (Laravel), MySQL, JavaScript, REST APIs, AI integrations (OpenAI/Gemini/LLMs), and workflow automation, along with hands-on experience in developing AI-driven products and business applications. This role offers Permanent Work From Home.

Key Responsibilities

• Design, develop, and maintain scalable PHP/Laravel applications integrated with AI capabilities.
• Build AI-powered modules such as chatbots, document processing systems, recommendation engines, and workflow automation tools.
• Integrate Large Language Models (LLMs) like OpenAI, Gemini, Claude, or similar AI services into web applications.
• Develop and optimize REST APIs and third-party integrations.
• Implement AI features including text generation, summarization, classification, semantic search, and conversational interfaces.
• Optimize application performance, scalability, and security.
• Collaborate with product, design, and business teams to deliver AI-enabled solutions.
• Conduct code reviews and mentor junior developers.
• Stay updated with emerging AI technologies and recommend innovative improvements.

Required Skills & Qualifications

• Strong expertise in PHP (Laravel, Core PHP).
• Proficiency in MySQL, PostgreSQL, and MongoDB.
• Experience with AI APIs and LLM integrations (OpenAI, Gemini, Anthropic, Azure OpenAI, etc.).
• Knowledge of Prompt Engineering, RAG (Retrieval-Augmented Generation), Vector Databases, and AI Workflows.
• Experience with REST APIs, Webhooks, and third-party integrations.
• Hands-on experience with Git/GitHub, Docker, CI/CD pipelines.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Minimum 2+ years of software development experience, including AI-powered application development.

Preferred Experience

• Experience developing AI-powered SaaS platforms.
• Knowledge of chatbot development and intelligent automation solutions.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Exposure to enterprise-scale applications and high-traffic systems.
• Experience in ERP, CRM, EdTech, HRMS, or workflow management platforms with AI enhancements