While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Platform Engineer Experience Level: 3-6 Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities: Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools Automate the deployment and test automation processes through CI/CD pipeline (Gitlab, GitHub,Jenkins,SonarQube, JFrog Artifactory, Docker containers) Build container hosting-platform using Kubernetes Serve as a mentor or guide for junior resources / freshers. Lead the technical discussion with the clients regarding updates / risks / blockers, etc. Fluent in communication . Must have skills: Proficiency in deploying and maintaining Cloud based infrastructure services (Azure - hands-on experience) Good hands-on experience on Terraform & Kubernetes Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks Good knowledge of cloud related services like Compute, Storage, Network, Messaging (Eg SNS, SQS), App Engine and Containerization (Eg: Docker, Kubernetes) and Automation (Eg. CFT/Terraform) Experience with CI/CD pipeline (Jenkins, Gitlab, GitHub, Maven etc) Experience with relational SQL and NoSQL databases, including Postgres, ElasticSearch and InfluxDB Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform) Strong Linux System Admin Experience with excellent troubleshooting and problem-solving skills Hands-on experience with languages (Bash/Python/Core Java) Experience integrating solutions in a multi-region environment
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Designation: Scrum Master Experience in Years : 10+ years Key Responsibilities: Facilitate Agile ceremonies: daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives. Coach and mentor Agile teams on Scrum and SAFe methodologies, driving continuous improvement and Agile maturity. Partner with Product Owners, stakeholders, and cross-functional teams to define priorities, manage dependencies, and deliver business value. Oversee delivery of BI and Data Engineering projects involving GCP, cloud data platforms, data lakes, ETL workflows, Power BI. Manage resource and capacity planning, conflict resolution, and recruitment for Agile teams. Enable technical excellence by fostering knowledge-sharing and mentoring team members on best practices in data modeling, ETL workflows, and performance optimization. Track Agile KPIs (velocity, burndown, sprint reports) and provide actionable insights to stakeholders. Ensure alignment with organizational goals, cost efficiency, and timely project execution. Required Skills & Experience 10+ years of IT experience with at least 5+ years as a Scrum Master / Agile Coach in BI, Data Engineering, or ETL domains. Strong understanding of Agile/Scrum, SAFe Agile, and SDLC practices. Proven delivery experience with GCP services (Composer,BQ, Cloud Run etc). Conceptual knowledge of ETL (Informatica PowerCenter), Data Modeling (Star/Snowflake schema, Erwin), and SQL optimization. Experience managing large cross-functional teams (onshore/offshore) across complex data projects. Knowledge of Power BI optimization (DAX, Tabular Editor, Performance Analyzer) is a plus. Strong communication, facilitation, and stakeholder management skills. Ability to drive incident management, automation, and continuous delivery improvements. Education & Certifications Bachelor's or Master's degree in Computer Science, Information Systems, or related field. Certified Scrum Master (CSM, PSM I/II, or SAFe Agilist) required. Cloud certifications (AWS/GCP/Azure) are a plus.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Consults with various stakeholders throughout the organization to analyse their information needs and determines analytical requirements for system application and data processing solutions, including selection of appropriate data sources, tabulations, statistical methods and analysis, and communication of results and insights Builds Business Intelligence (BI) and Data Visualization solutions to meet business and systems needs by thorough requirements gathering, software component designing, coding, testing, and effective review Uses DW/BI toolkits to collect, record, and provide access to data and assist the enterprise in making better business decisions Provides support to existing DW/BI solutions using architecture and development best practices including data design, data transport, data access, data visualization, and data quality/metadata techniques Designs and develops services for transformation, integration and reporting solutions Provides feedback and consultation on analytical capabilities and integrated data assets to business partners in order to mature the vision and direction for BI Applies industry best practices and promotes standards for execution and delivery approach
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Cyber Security Engineer Experience Level: 3+ Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities: Develop a complete understanding of a company's technology and information systems. Design, build, implement and support enterprise-class security systems. Identify and communicate current and emerging security threats Plan, research and design robust security architectures for any IT project. Perform or supervise vulnerability testing, risk analyses and security assessments. Create solutions that balance business requirements with information and cybersecurity requirements. Identify security design gaps in existing and proposed architectures and recommend changes or enhancements. Set up and support code security and infrastructure security activities of DevSecOps Pipeline. Must have experience in cloud concepts and perform assessment and implementation of new technologies within the cloud. Use current programming language and technologies to write code, complete programming and perform testing and debugging of applications. Provide supervision and guidance to development and security teams. Define, implement and maintain corporate security policies and procedures. Respond immediately to security-related incidents and provide thorough remedial solutions and analysis. Required Skills: Experience in automating security tools and processes ensuring innovation and advancement strategies that keep pace in the areas of access control, security-in-depth, secure transaction processing, secure coding practices. Experience in working in a high paced DevSecOps or SecOps environment with hands-on experience in Docker, Kubernetes and Cybersecurity tools like IDS, SIEM, SAST/DAST Scanners, EDR Experience in conducting and facilitating security reviews, threat modelling including deep design reviews throughout the development lifecycle to identify all the threats the systems are exposed to and recommended mitigations controls to address those threats. Hands-on knowledge in Cloud Security and AWS / GCP / Azure (good hands-on experience in at least one of them preferably GCP) Experience in performing penetration testing activities on Internal and large scale cloud infrastructure Hands-on experience in performing threat modelling and web application security assessments Experience in evaluating and implementing industry leading third party security tools and software Hands-on experience in performing vulnerability assessment and management via automation Effective communication skills with all the stakeholders involved. Skills to communicate clearly about complex subjects and technical plans with technical and non-technical audiences. Ability to identify risks associated with business processes, operations, technology projects and information security programs
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Software Developer (FastAPI & Python) Experience Level: 4 to 8 Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities: Work with cloud engineers and customers to solve big data problems by developing utilities for migration, storage and processing on Google Cloud. Design and build a cloud migration strategy for cloud and on-premise applications. Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact at massive scale. Build tools to ingest and jobs to process several terabytes or petabytes per day. Design and develop next-gen storage and compute solutions for several large customers. Be involved in proposals, RFPs and provide effort estimates, solution design etc. Communicate with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers. Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters. Better understanding of Data modeling and governance Must have skills: Python Programming: Core Python: Deep understanding of Python syntax, data structures (lists, dictionaries, sets, tuples), and control flow (loops, conditionals). Libraries & Frameworks: Proficiency with popular libraries (NumPy, pandas, etc.) and frameworks (e.g., Django, Flask) in addition to FastAPI. Error Handling: Exception handling, debugging, and unit testing. Performance Optimization: Profiling and optimizing Python code for performance improvements. REST APIs: Design Principles: Understanding of RESTful design principles, including statelessness, resource-based architecture, and HTTP methods (GET, POST, PUT, DELETE). API Documentation: Ability to document APIs using tools like Swagger/OpenAPI. Security: Knowledge of common security practices (authentication, authorization, data validation, and sanitization). FastAPI: Framework Proficiency: Building and deploying RESTful APIs using FastAPI. Asynchronous Programming: Familiarity with async/await and how FastAPI leverages asynchronous capabilities. Data Validation: Utilizing Pydantic for data validation and serialization. Dependency Injection: Using FastAPI's dependency injection system to manage resources and services. Git: Version Control: Proficiency with Git commands and workflows. Branching Strategies: Knowledge of Git workflows like Gitflow, feature branching, and understanding how to resolve conflicts. Collaboration: Experience with Git hosting services and understanding pull requests and code reviews.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Support Engineer Experience Level: 3 to 7 Years Work location: Trivandrum Work Type: Rotational shift Role & Responsibilities: Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools Automate the deployment and test automation processes through CI/CD pipeline (Git, Jenkins,SonarQube, Artifactory, Docker containers) Build container hosting-platform using Kubernetes Introduce new cloud technologies, tools & processes to keep innovating in the commerce area to drive greater business value. Must have skills: Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure) Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform) Experience with relational SQL and NoSQL databases, including Postgres and Cassandra Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform) Basic understanding of Linux System Admin with basic troubleshooting and problem-solving skills Basic hands-on experience with languages (Bash/Python/Core Java/Scala) Experience with CI/CD pipeline (Jenkins, Git, Maven etc) Good to have: Good hands-on experience in GCP preferably Basic experience and understanding of ML Ops Basic knowledge of Agile/Scrum/DevOps software development methodologies
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! As a Senior Engagement Manager, you will be responsible for heading and managing the customer engagements , delivery efforts in a B2B environment for Customer service teams of various organizations. Role & Responsibilities: Guide the client on technology evaluation, technical thought leadership and direction. Take a lead in preparing functional and technical specification documents. Lead project deliveries while managing multiple responsibilities in high paced environment, where you are empowered to make a difference Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance. Work closely with product owners to align on their feature backlogs and plan for engineering. Guide and help team members to debug and solve technical problems. Lead engagements with multiple work-streams prepare project plans and manage deliverables Review and perform code walkthrough and quality reviews. Showcase thought leadership on technology roadmaps, agile development methodologies and best practices. Required Skills: Excellent client communication, analytical and presentation skills. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Experience to manage a midsize team (30-50) is a must. Experienced in managing mid to large size data and cloud engagements using GCP/AWS/Azure platforms and services. Ability to discuss data management, data governance and data integration related issues and provide a point of view. Problem solving mindset and ability to guide the team to resolve project issues. Good grasp of risk management, scope management and project profitability.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role & Responsibilities: Guide the client on technology evaluation, technical thought leadership and direction. Take a lead in preparing functional and technical specification documents. Lead project deliveries while managing multiple responsibilities in high paced environment, where you are empowered to make a difference Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals. Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance. Work closely with product owners to align on their feature backlogs and plan for engineering. Guide and help team members to debug and solve technical problems. Lead engagements with multiple work-streams prepare project plans and manage deliverables Review and perform code walkthrough and quality reviews. Showcase thought leadership on technology roadmaps, agile development methodologies and best practices. Required Skills: Experience Range - 12+ years Excellent client communication, analytical and presentation skills. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Experience to manage a midsize team (30-50) is a must. Experienced in managing mid to large size data and cloud engagements using GCP/AWS/Azure platforms and services. Ability to discuss data management, data governance and data integration related issues and provide a point of view. Problem solving mindset and ability to guide the team to resolve project issues. Good grasp of risk management, scope management and project profitability.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Associate Architect - Machine Learning Experience Level: 6 to 12 Years Work location: Mumbai, Bangalore & Trivandrum What you'll do: You will be working as an ATA Machine Learning Engineer within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with teams from other specialties such as Cloud engineering, Software engineering, Data engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others. Role & Responsibilities: Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client's success criteria. Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact. Building deep relationships with clients by understanding their stated but more importantly, latent needs. Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.Researching and identifying sales opportunity, generating leads, target identification and classification Serve as a mentor or guide for senior resources / team leads. Lead the technical discussion regarding architecture designing and troubleshooting with the clients and provide solutions proactively as required. Fluent in communication Must have skills: 6+ years experience of Hands-on in model development, deployment and operationalization of projects in Computer Vision, NLP, etc Strong theoretical understanding of Machine Learning concepts, as well DeepLearning base architectures, cloud-based web services architecture, design patterns and frameworks Comfortable with exploring new research and engineering/development best practices types Hands on experience working on and handling projects in the healthcare domain would be a desired skill Experience in implementing Deep Learning solutions pertaining to, but not restricted to, Reinforcement Learning, Natural Language Processing, Auto ML. Exposure to latest cutting-edge research. Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis,Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Analyst - PMO Experience Level: 3-6 Years Location: Mumbai Role & Responsibilities: Perform resource planning and allocation based on project needs and employee capabilities. Manage the internal talent pool and bench, ensuring optimal utilization of available resources. Handle internal resource demand-supply management effectively. Assign personnel to projects by evaluating their skills, past experience, availability, and project-specific requirements. Create and deliver regular reports on: Bench status Utilization metrics Allocation details Roll-off projections Drive and improve resource management processes and best practices. Collaborate with internal departments to ensure seamless resource management operations. Plan and execute processes related to: Demand forecasting Campus recruitment and deployment Employee engagement Partner with business leaders to enable efficient and strategic resource allocation. Required Skills: Excellent communication skills - ability to interact with employees and senior stakeholders effectively. Strong skills in Excel (preferably Google Sheets) for data tracking and reporting. Basic understanding of resourcing and recruitment workflows. Proven leadership qualities and stakeholder management skills. Proficiency in conflict resolution and problem-solving. Strong business acumen and ability to draw insights from data. Capable of relationship building and cross-functional collaboration. Team player with a focus on learning, innovation, and delivering solutions. Excellent organizational and time-management abilities. Effective communication and networking skills.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Data Engineer (Databricks) Experience Level: 3 to 6 Years Work location: Mumbai, Bengaluru, Trivandrum Role & Responsibilities: Design and implement data solutions (ETL pipelines, Processing and Transformation logic) using Snowflake as a key platform. Design Virtual warehouses which are optimized for performance and cost (auto scaling, idle time etc) Write SQL , stored procedures to implement business logic, other critical requirements like encryption, data masking etc Implement solutions with features like Snowpipe, tasks, streams,dynamic tables etc Design the solutions by leveraging key concepts around the architecture of Snowflake, its data distribution and partitioning mechanism, data caching etc. Identify queries which take more time , look at the logs etc and provide solutions to optimize those queries Must have skills: 3+ years experience of Hands-on in data structures, distributed systems, Spark, SQL, PySpark, NoSQL Databases Strong software development skills in at least one of: Python, Pyspark or Scala. Develop and maintain scalable & modular data pipelines using databricks & Apache Spark Experience building and supporting large-scale systems in a production environment Experience working on either of the cloud storages - AWS S3, Azure data lake, GCS buckets Exposure to the ELT tools offered by the cloud platforms like, ADF, AWS Glue, Google dataflow Integrate Databricks with other cloud services like AWS, Azure or Google Cloud Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks Managing and configuring databricks environments, including clusters and notebooks Experience working with different file formats - parquet, databricks delta lake Experience working with data governance on databricks, implementing unity catalog, delta share
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Machine Learning Engineer Experience Level: 1 to 4 Years Work location: Mumbai Role Overview: We are looking for a Machine Learning Engineer to join our growing Data & Digital team. The role involves contributing to Advanced Analytics (AA), Machine Learning (ML), and data-driven projects aimed at improving business processes across various verticals. The ideal candidate should possess strong technical skills in Python, ML model development, and problem-solving, along with the ability to interact with business stakeholders. Key Responsibilities: Develop and deploy machine learning models (classification & regression) to solve real-world business problems. Work across the full analytics lifecycle: from gathering requirements to data preprocessing, modeling, validation, and implementation. Break down complex business problems into smaller, manageable components and solve them using ML/AA techniques. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deliver descriptive, predictive, and prescriptive models tailored to business objectives. Work on digital transformation initiatives to drive efficiency and innovation through advanced data-driven solutions. Prepare and present data insights and analytical outcomes to stakeholders using visualization tools. Required Skillset: Strong proficiency in Python (or R) for data manipulation and model development. Hands-on experience with key Python libraries: numpy, pandas, seaborn, matplotlib, sklearn. Solid understanding of machine learning models and algorithms, especially in classification and regression. In-depth knowledge of algorithms such as Decision Trees, Random Forests, Bagging, Boosting (e.g., XGBoost, LightGBM). Understanding of fundamentals of statistics and how they apply to data modeling. Experience with Jupiter Notebook and Databricks for model development and experimentation. Practical experience in implementing ML models in real business scenarios. Ability to align ML/AA solutions with business goals and KPIs. Strong problem-solving and critical thinking abilities. Experience in stakeholder management. Proficiency in presentation and visualization tools: MS Power BI, MS Excel.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Associate Architect - Machine Learning Required Experience : 6 to 9 years Location : Bengaluru / Mumbai (Hybrid) Roles and Responsibilities: Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Skills Required: 6 to 9 years of work experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills - Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills - Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Preferred Skills & Qualifications - Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Cyber Security Engineer Experience Level: 3+ Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities: Develop a complete understanding of a company's technology and information systems. Design, build, implement and support enterprise-class security systems. Identify and communicate current and emerging security threats Plan, research and design robust security architectures for any IT project. Perform or supervise vulnerability testing, risk analyses and security assessments. Create solutions that balance business requirements with information and cybersecurity requirements. Identify security design gaps in existing and proposed architectures and recommend changes or enhancements. Set up and support code security and infrastructure security activities of DevSecOps Pipeline. Must have experience in cloud concepts and perform assessment and implementation of new technologies within the cloud. Use current programming language and technologies to write code, complete programming and perform testing and debugging of applications. Provide supervision and guidance to development and security teams. Define, implement and maintain corporate security policies and procedures. Respond immediately to security-related incidents and provide thorough remedial solutions and analysis. Required Skills: Experience in automating security tools and processes ensuring innovation and advancement strategies that keep pace in the areas of access control, security-in-depth, secure transaction processing, secure coding practices. Experience in working in a high paced DevSecOps or SecOps environment with hands-on experience in Docker, Kubernetes and Cybersecurity tools like IDS, SIEM, SAST/DAST Scanners, EDR Experience in conducting and facilitating security reviews, threat modelling including deep design reviews throughout the development lifecycle to identify all the threats the systems are exposed to and recommended mitigations controls to address those threats. Hands-on knowledge in Cloud Security and AWS / GCP / Azure (good hands-on experience in at least one of them preferably GCP) Experience in performing penetration testing activities on Internal and large scale cloud infrastructure Hands-on experience in performing threat modelling and web application security assessments Experience in evaluating and implementing industry leading third party security tools and software Hands-on experience in performing vulnerability assessment and management via automation Effective communication skills with all the stakeholders involved. Skills to communicate clearly about complex subjects and technical plans with technical and non-technical audiences. Ability to identify risks associated with business processes, operations, technology projects and information security programs
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: SeniorData Engineer - (SQL/Elasticsearch) Experience : 3 - 8 Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities: Design and optimize search and analytics solutions using Elasticsearch for handling structured, semi-structured, and unstructured healthcare data. Build and optimize SQL-based ETL/ELT pipelines for ingestion, transformation, and reporting at scale. Diagnose and troubleshoot distributed systems problems, including search performance, query optimization, and data indexing challenges. Design and implement scalable storage and query solutions leveraging relational databases and search engines. Help developers in debugging data related issues. Capable of creating APIs using Python(fastAPI). Communicate effectively with Infrastructure, Network, DevOps, SiteOps, and customer teams to ensure smooth operations. Build automation and monitoring tools to ensure high availability and performance of SQL and Elasticsearch-based systems. Must Have Skills: Strong expertise in SQL (query optimization, stored procedures, indexing, partitioning). Hands-on experience with Elasticsearch: designing indices, mapping, analyzers, query DSL, performance tuning, scaling clusters. Solid understanding of data modeling, normalization, and search schema design. Proficiency in Python for scripting and API development. Familiarity with GitHub/Bitbucket/GitLab for version control. Strong grasp of data structures, exception handling, and debugging. Experience with GCP services (BigQuery, Data Fusion, Pub/Sub, Cloud Storage) or equivalent AWS/Azure data services. Exposure to orchestration frameworks such as Airflow, NiFi, or Google Cloud Composer. Experience developing pipelines and utilities for data migration, storage, search, and analytics on Google Cloud. Experience in developing and maintaining large-scale data ingestion pipelines capable of handling terabytes of daily data. Familiarity with message/event streaming solutions such as Kafka, Kinesis, or Pub/Sub. Knowledge of containerization and orchestration (Docker, Kubernetes). Hands-on experience in optimizing Elasticsearch clusters for high availability, security, and scalability in production. Experience supporting large-scale, real-time data systems in production.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Software Developer Experience Level: 4 to 8 Years Work location: Mumbai, Bangalore & Trivandrum Role & Responsibilities: . Build and maintain .NET-based applications using C# & Blazor . Develop and optimize medical imaging viewers and DICOM-based applications . Implement advanced visualization techniques for medical imaging data . Ensure cross-browser compatibility and responsive design . Optimize applications for maximum speed and scalability . Collaborate with UI/UX designers to implement visual elements and improve user experience . Work with backend developers to integrate frontend components with API services . Implement state management and maintain code organization in complex applications . Participate in code reviews and provide constructive feedback to team members . Be involved in proposals, RFPs and provide effort estimates, solution design etc. . Communicate with a wide set of teams, including Design, Product, Backend, DevOps, and QA teams. Must have skills: 4+ years of strong proficiency in both C# programming language and Blazor (Web Assembly and/or Server) development Experience with Blazor component libraries and custom component creation Expertise in responsive web design principles and implementation. Ability to implement adaptive layouts for different screen sizes Knowledge of HTML5, CSS3, and CSS frameworks (Bootstrap, Tailwind, etc.) Experience with component-based architecture and state management Familiarity with browser rendering performance optimization Understanding of JavaScript interoperability in Blazor applications Experience with RESTful API integration and WebSocket communication Strong problem-solving skills for browser compatibility issues Experience with UI/UX implementation and responsive design patterns Knowledge of WebGL or canvas-based visualization techniques Proficiency with Git commands and workflows Experience with 3D rendering technologies (Three.js, vtk.js) Good to Have Skills: Experience with medical imaging applications or DICOM standards Familiarity with 3D geometry, matrix transformations, and spatial mathematics Background in creating adaptive UI for complex control panels Knowledge of progressive web application (PWA) development Understanding of browser limitations and workarounds for complex applications Experience with SignalR for real-time communication Experience with multi monitor support Knowledge of micro frontend architecture Experience with healthcare interoperability standards (HL7, FHIR) Knowledge of regulatory requirements for medical software Experience with UI/UX design tools (Figma, Adobe XD) Knowledge of state machines and advanced state management patterns End-to-end ownership of frontend projects Team management and mentoring experience
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Data Engineer (Databricks) Experience Level: 3 to 6 Years Work location: Mumbai, Bengaluru, Trivandrum Role & Responsibilities: Design and implement data solutions (ETL pipelines, Processing and Transformation logic) using Snowflake as a key platform. Design Virtual warehouses which are optimized for performance and cost (auto scaling, idle time etc) Write SQL , stored procedures to implement business logic, other critical requirements like encryption, data masking etc Implement solutions with features like Snowpipe, tasks, streams,dynamic tables etc Design the solutions by leveraging key concepts around the architecture of Snowflake, its data distribution and partitioning mechanism, data caching etc. Identify queries which take more time , look at the logs etc and provide solutions to optimize those queries Must have skills: 3+ years experience of Hands-on in data structures, distributed systems, Spark, SQL, PySpark, NoSQL Databases Strong software development skills in at least one of: Python, Pyspark or Scala. Develop and maintain scalable & modular data pipelines using databricks & Apache Spark Experience building and supporting large-scale systems in a production environment Experience working on either of the cloud storages - AWS S3, Azure data lake, GCS buckets Exposure to the ELT tools offered by the cloud platforms like, ADF, AWS Glue, Google dataflow Integrate Databricks with other cloud services like AWS, Azure or Google Cloud Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks Managing and configuring databricks environments, including clusters and notebooks Experience working with different file formats - parquet, databricks delta lake Experience working with data governance on databricks, implementing unity catalog, delta share
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role : Senior Test Automation Engineer Experience Level : 3 to 6 Years Work Location : Bengaluru/Mumbai/Trivandrum Work From Office : Hybrid Role & Responsibilities: Design and implement UI automation frameworks for React-based healthcare applications. Automate testing of digital avatar interactions and real-time visualizations Test ADA-compliant features and responsive design across devices Automate WebRTC audio/video streams and real-time communication testing Test software to ensure responsiveness and efficiency Test real-time database operations (Firestore, Cloud SQL) Validate session metadata, audit logs, and complex healthcare data structures Ensure HIPAA compliance, data encryption, and PII protection Perform SQL-based testing for healthcare data integration Execute complex healthcare workflow testing across multiple use cases Test multi-turn conversational flows and emergency scenario handling Validate edge cases, stress testing, and session recovery mechanisms Create comprehensive test scenarios for healthcare compliance Design and execute test plans for agent behavior across reasoning, tool usage, multi-turn flows, and goal completion Build and maintain automated testing frameworks for agent workflows using Python Test for hallucinations, prompt injection, bias, PII leakage, and response safety Test end-to-end integration between UI, microservices, and AI agents Self-starter - proactive and extremely detail oriented Validate GCP infrastructure, CI/CD pipelines, and deployment automation Implement Automated CI/CD processes using Jenkins tools Perform security testing and telephony platform integrations Test observability systems and cloud-based microservice environments Work with observability tools (e.g., LangSmith, Trulens, logging pipelines) to analyze agent execution Design test strategy and estimates for automation Technology focused, agnostic to tools, adaptable to change in technology Suggest quality fixes and improvements Mentor and guide team members. Collaborate with engineers to iterate on prompt design, tool chaining, and fallback logic Contribute to the development of agent test harnesses and benchmarking pipelines Validate message integrity and orchestration between avatar UI, voice services, context managers, and LLM endpoints using REST/gRPC/WebSocket automation Implement contract and schema validation for API integrations Test event-driven architectures using Kafka/MQTT and ensure reliable message delivery Ensure continuous integration and safe model rollout through MLOps-aware CI/CD testing Implement model version checks and regression suite hooks in deployment pipelines Work with Docker, Helm, and GitHub Actions for containerized deployments Required Skills: Core Testing & Automation: 3+ years QA automation experience with Selenium WebDriver expertise Java/Python programming for automation frameworks API Testing proficiency (RestAssured, Postman, REST/GraphQL APIs) Event-driven automation (REST/gRPC/WebSocket, Kafka/MQTT testing) Contract & schema validation expertise Async workflow simulation and event bus testing (Kafka, NATS) API contract testing tools (Karate, Swagger mocks, pact testing) Frontend & UI Testing: Strong JavaScript frameworks knowledge (React, Angular, Vue.js) Multimodal UI automation (Playwright/Cypress for avatar rendering, gestures, text sync) Visual regression testing tools (Applitools, Percy) WebDriver with video validation capabilities Speech & Audio testing (ASR/TTS accuracy, latency profiling, ffmpeg pipelines) Visual & Motion regression testing (OpenCV-based comparison, frame analysis) Accessibility testing tools (Axe-core, Lighthouse, screen reader validation) End-to-end conversation flow simulation with mock APIs Cloud & Platform: GCP/AWS cloud platform experience and microservices testing Docker, Kubernetes containerization and orchestration Infrastructure testing and deployment validation Performance testing tools (JMeter, LoadRunner, k6, Locust, Gatling) CI/CD pipeline testing (Jenkins, GitHub Actions, Helm) MLOps-aware testing (model version checks, regression suite hooks) Observability & monitoring tools (OpenTelemetry, Grafana, ELK, Prometheus) Chaos testing and fault injection (Gremlin, synthetic fault testing) Database & caching validation (SQL/NoSQL automation, Redis, schema drift monitoring) AI & Healthcare Specific: AI/ML testing and conversational AI validation Healthcare compliance knowledge (HIPAA, FHIR standards) Security testing for regulated environments Voice AI and speech recognition testing LLM endpoint testing and validation Avatar UI and multimodal interaction testing Context manager and conversation flow testing Security & Compliance: Enterprise security standards (HIPAA, SOC2, GDPR) automation Security testing tools (OWASP ZAP, Burp Suite) JWT validation and authentication testing Policy-as-code implementation (OPA) Secret scanning and vulnerability assessment Error handling and circuit breaker validation Good to have: Evaluate agent output using rubric-based, LLM-based, and scenario-based techniques LLM-specific testing including prompt testing Multi-turn conversation testing Shadow testing and anomaly monitoring experience Distributed load testing with Grafana integration Microservice contract chaining expertise Image diffing and automated snapshot testing Noise robustness testing for voice interaction
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Technical Architect - Data Experience Level : 8 to 14 Years Work location: Mumbai, Bangalore, Trivandrum You will be working as a Data Architect within the domain, designing and delivering big data pipelines for structured and unstructured data that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with Architects from other specialties such as Cloud engineering, Software engineering, ML engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others. Role & Responsibilities: More than 15 years of experience in Technical, Solutioning, and Analytical roles. 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Busines Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure) Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc. Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud. Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud. Experience of having worked with traditional ETL tools like Informatica/DataStage/OWB/Talend, etc. Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc. Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc. Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift. Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc. Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc. Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design. Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud. Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc. Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure. Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure. Role: Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence. Interface with multiple stakeholders within IT and business to understand the data requirements. Take complete responsibility for the successful delivery of all allocated projects on the parameters of Schedule, Quality, and Customer Satisfaction. Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems. Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Work with the Pre-Sales team on RFP, RFIs and help them by creating solutions for data. Mentor Young Talent within the Team, Define and track their growth parameters. Contribute to building Assets and Accelerators. Other Skills: Strong Communication and Articulation Skills. Good Leadership Skills. Should be a good team player. Good Analytical and Problem-solving skills.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Required Skills: Expertise inConversational AI developmentusing Google Dialog flow CX/ES , including intent design, entity modeling, and fulfillment logic. Experience integrating chatbots with Vertex AI,Generative AI models, andLLMsvia APIs. Proficient in Python,Node.js, orJava for backend integration and webhook development. Strong understanding ofREST APIs,gRPC, andJSON-basedcommunication. Hands-on experience withCI/CD pipelinesusingCloud Build,Artifact Registry,GitHub Actions, orJenkinsfor automated deployment and monitoring. Skilled in GCP servicessuch asCloud Run,App Engine,Cloud Functions,Cloud Storage,Firestore,BigQuery,Pub/Sub,IAM, andService Accounts. Proficient inCloud Logging,Cloud Monitoring, andError Reportingfor operational visibility and troubleshooting Knowledge ofautomation frameworksincluding AI Agents,RPA tools,Google Workflows, andCloud Composer for end-to-end chatbot automation and management.