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.