דרושים Det-app Engineer-azure-gdsn02 ב-Ey ב-India, Kerala, Kochi

Position Overview

As a Senior Risk and Audit Compliance Engineer within Infrastructure and Operations, Platform Infrastructure, you will serve as a subject matter expert, collaborating with multinational clients on designing, implementing, and enhancing end-to-end risk, compliance, and audit frameworks. Leveraging your deep experience and consulting acumen, you’ll lead project teams, mentor staff, and ensure our clients meet evolving regulatory, cyber, and operational risk expectations.

Client Engagement & Advisory

• Lead client-facing risk and compliance consulting projects across industries (finance, technology, healthcare, etc.).
• Advise client executives and Boards on risk identification, internal controls, and compliance program maturity.
• Translate regulatory requirements (SOX, GDPR, ISO 27001, NIST, SOC, etc.) into actionable strategies and operational controls.

Compliance Program Leadership

• Assess, design, and implement enterprise-wide risk management and compliance frameworks for clients.
• Develop risk and control matrices, Risk Control Self-Assessment (RCSA) programs, and ongoing compliance monitoring strategies.
• Perform internal/external audit readiness assessments and help clients prepare for regulatory and certification audits (SOX, SOC 1/2/3, ISO, PCI DSS, etc.).

Audit & Risk Management Execution

• Plan and execute audit engagements, including risk scoping, fieldwork, walkthroughs, and root-cause analysis.
• Evaluate effectiveness and efficiency of existing controls (ITGC, application controls, segregation of duties, etc.).
• Review, test, and validate control design and operating effectiveness. Draft high-quality audit reports and remediation recommendations.
• Drive closure of audit findings through remediation tracking and stakeholder management.

Data Analytics & Automation

• Design and implement automated solutions for control testing, continuous monitoring, and regulatory reporting.
• Employ advanced analytics to identify emerging risks and strengthen compliance posture.
• Stay abreast of and pilot new regulatory technology (RegTech) and audit automation tools for improved consulting delivery.

Project & Team Leadership

• Manage project teams in a matrix and multi-client environment. Mentor and develop supplier/contract staff.
• Oversee project timelines, deliverables, and client satisfaction.
• Support business development by identifying new client needs and contributing to proposals.

Stakeholder & Relationship Management

• Liaise with client and internal leadership, regulatory bodies, and external auditors.
• Deliver compliance/risk training and thought leadership to clients and practice teams.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Information Security, Engineering, Finance, Business, or related fields.
• 12+ years of progressive experience in risk management, audit, or compliance—minimum 3-6 years in a Big Four or similarly complex consulting or regulated environment.
• Expertise in regulatory frameworks: ISO 27001, NIST, SOX, PCI DSS, GDPR, COBIT, etc.
• Proven success in leading end-to-end client audits, regulatory projects, and compliance assessments.
• Excellent analytical, problem-solving, and communication skills.
• Experience with GRC, audit, Regulatory Technology (RegTEeh), and data analytics platforms (e.g., Archer, ServiceNow GRC, SAP GRC, Tableau, ACL).
• One or more relevant certifications: CISA, CISM, CRISC, SoX, ISO 27001 Lead Auditor/Implementer (strongly preferred).
• Track record managing and developing diverse/high-performing teams.
• Prior experience in working with the Suppliers/Contractors and driving the Risk and Audit along with yearly Internal and External Audits.

Preferred

• Experience with On-Prem, Cloud, Data Privacy, and AI/ML risk and compliance.
• Prior client-facing or business development experience in management consulting.
• Reporting Line
• Reports to: On Prem Hosting Compliance Lead

Required Knowledge, Skills and Abilities (KSAs)

• Bachelor Degree in Computer Science, Engineering, Mathematics or STEM related area of study, Master's Degree is a plus
• Demonstrated capability to analyse business and technical requirements; and develop solutions to address the requirements.
• Subject matter expertise in Integrated Business Planning (IBP), Demand Planning, Supply planning, Sales & Operation Planning processes preferably with at least 1 end to end implementation experience with a client facing role.
• Strong configuration and design skills required
• Demonstrated experience in SAP package solution implementation tools and methodologies.
• Well-honed SCM skills and expert understanding of the Software Configuration Management. Ability to perform complex SCM tasks and ability to mentor or train others in the configuration management effort.
• A team player with excellent written and verbal communication skills and strong organizational skills. Must have a service-oriented attitude with excellent problem solving and analytical skills. Ability to work independently, self-motivated, and highly focused.
• Effective communication skills and experience with customer facing relationships for both project and sustain related functions

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Technical Lead:

The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning.

Position Summary

• 4+yrs of experience in a similar profile with strong service delivery background
• Lead and guide a team of Junior Developers.
• Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.
• Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings.
• Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning.
• Plan and implement version control of source control
• Define and implement best practises for software development
• Excellent computer skills - proficient in excel, PowerPoint, word and outlook
• Excellent interpersonal skills and a collaborative management style
• Ability to analyse and suggest solutions
• Strong command on verbal and written English language

Essential

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
• Should have experience of 2-3 production implementation of machine learning projects.
• Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch
• Experience in LLMs, Gen AI Solution development
• Exposure to Agentic AI concept and hands on experience in POCs or Projects
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to work with a multi culture global teams and team virtually
• Should be able to build strong relationship with project stakeholders
• Should be able to build strong relationship with project stakeholders

Job description – Senior Mobile Tester

As Mobile Application Test Lead you will be accountable & responsible for Testing of Applications developed for Mobile devices against Requirements, meeting the Quality and Project Testing needs. You will work closely with Test Manager/ Lead for the projects under test.

Responsibilities

• Testing of Mobile Applications developed for various Mobile devices on different platforms for Functional, Usability and Performance aspects
• Understand the Requirements (Business & Technical) for the Application developed for a specific Mobile device and its Operating platform
• Work closely with Mobile Solution Engineering team to understand the specifics of the Application, Mobile device & operating platform on which the Application would run and due considerations
• Review Design and provide feedback considering Testability of the Application/ Solution
• Derive a Test Strategy to Test the Application covering Functionality and aspects of Usability & Performance for the Mobile Device under test. Create a Test Plan for executing Testing aligned with Test Strategy
• Perform Test Case design, identify any opportunity for Test Automation. Develop Test Cases both Manual and Automation Scripts as applicable.
• Ensure Test readiness (Test Environment, Test Data, Tools Licenses etc)
• Execute Testing, Monitor and report the Progress. Liaise with Mobile Solution Engineering Team & other relevant team for Defect resolution
• Create Test Report and Test Sign off documentation as per Process
• Represent Testing in Business & Project/ Release meetings both BAU and decision making
• Capture and Report Test Metrics as per Process. Analyze the Metric trends, plan & implement improvement actions as necessary
• Manage Test Team reporting into you and support team development activities for the Testing Team

People responsibilities

• Good people management skills – Guide, Lead and motivate the team
• Contribute to people initiatives including recruiting, retaining and training
• Should come up with innovative and smart ways of doing work, without compromising on quality
• Understand and follow workplace policies and procedures

Requirements

• BE/BTech/MCA
• Overall 4-10 years of hands on experience in Testing all types of Mobile Applications(Native, Hybrid, Mobile web) on handheld devices and cloud device farms (Browserstack, Sauce labs, Perfecto, etc) is a must
• Should have excellent communication skills & should be able to articulate concisely & clearly
• Should be an individual contributor cum Team Leader
• Should have experience in Testing of Mobile Applications for iPhone/ iPad (iOS), Android Smartphones/Tablets.
• Good understand of Mobile Technologies like 4G, 3G, GPRS, Wi-Fi etc. Knowledge of MDM (Mobile Device Management), Mobile Application Management (MAM) & Security aspects
• Exposure to different debugging tools for all Mobile platforms is desirable.
• Should have device level application performance testing knowledge
• Should have a flair for learning emerging technologies in Mobile space and developing Innovative thinking in Mobile Testing
• As a Test Architect/ Lead should have created Test Strategy & Test Plan for Testing Mobile Applications and for Testing Enterprise Applications that are moderate to complex Systems. Should be familiar with Test Estimation techniques
• Hands on experience with Test Management and Defect Management tools including HP ALM, JIRA, Azure DevOps
• Exposure to Quality Processes, Templates and Metrics for Testing is required
• Able to contribute as an individual contributor and when required lead a small team
• Good understanding of SDLC, Agile testing methodologies
• Good understanding of project life cycle and test life cycle. Exposure to CMMi and process improvement frameworks is a plus
• Experience in Usability (User experience) & Accessibility Testing which covers industry standards like WCAG2.0/ 2.1 for mobile applications.

Nice to Have Skills

• Experience in RFP and pre-sales
• Experience in test automation for mobile apps is a plus
• Exposure to Non UI Testing like Web service testing,API testing,SOA testing
• Experience in backend testing of SQL server is a plus
• Responsive & adaptable to customer and project needs.
• Exposure to Global Projects and working with Clients at onsite is desirable
• Exposure/ Experience in Non-Functional Testing (Performance & Load Testing, Infrastructure, Security Testing etc) would be an added advantage
• Should be ready to travel based on the Project & Client needs
• Knowledge of Mobile Application Management- control, security and compliance with respect to Mobile Application distribution & deployment is desirable. Understanding of Enterprise mobile infrastructure and cross platform development platforms like is desirable

Key Responsibilities:

• Lead the design, development, and deployment of AI models and algorithms tailored for banking applications.
• Collaborate with stakeholders to define project goals, requirements, and deliverables.
• Analyze complex datasets to derive actionable insights and drive strategic decision-making.
• Mentor junior team members and provide technical guidance on AI best practices.
• Optimize and enhance existing AI models for improved performance and scalability.
• Stay abreast of emerging trends and technologies in AI and machine learning.
• Conduct rigorous testing and validation of AI models to ensure robustness and reliability.
• Document methodologies, processes, and results for knowledge sharing and compliance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 8-12 years of experience in AI/ML development, with a focus on the banking or financial services industry.
• Strong proficiency in programming languages such as Python, R, SAS
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of data structures, algorithms, and statistical analysis.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Preferred Skills:

• Experience with natural language processing (NLP), computer vision, or reinforcement learning.
• Knowledge of regulatory compliance and risk management in the Banking and Insurance sector.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities

• Architecting big data solutions in a cloud environment using Azure Cloud services
• ETL design, development, and deployment to Cloud Service
• Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
• Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
• Define and develop client specific best practices around data management within a Hadoop environment on Azure cloud
• Recommend design alternatives for data ingestion, processing, and provisioning layers

Skills and attributes for success

• 3-5 years of experience in architecting big data solutions with proven track record in driving business success
• Hands-on expertise in cloud services like Microsoft Azure
• Experience with databricks, python, and ADF
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra.
• Experience with BI, and data analytics databases
• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop administrative Fundamentals
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing.
• Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
• Hands on experience with major components like Hive, PIG, Spark, MapReduce
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Experienced in Hadoop clustering and Auto scaling.
• Good knowledge in apache Kafka & Apache Flume
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Knowledge of Apache Oozie based workflow
• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Experience in Enterprise grade solution implementations.
• Knowledge in Big data architecture patterns [Lambda, Kappa]
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest] and knowledge of data standards like APRA, BASEL etc
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop technologies
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies
• Strong UNIX operating system concepts and shell scripting knowledge
• Knowledge of microservices and API development

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
• Minimum 6 years hand-on experience in one or more of the above areas.
• Minimum 3-5 years industry experience

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Tech Stack: -

• AWS
• Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
• Experience in Pyspark/Spark / Scala
• Experience using software version control tools (Git, Jenkins, Apache Subversion)
• AWS certifications or other related professional technical certifications
• Experience with cloud or on-premises middleware and other enterprise integration technologies.
• Experience in writing MapReduce and/or Spark jobs.
• Demonstrated strength in architecting data warehouse solutions and integrating technical components.
• Good analytical skills with excellent knowledge of SQL.
• 8+ years of work experience with very large data warehousing environment
• Excellent communication skills, both written and verbal
• 3+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• 3+ years of experience data modelling concepts
• 3+ years of Python and/or Java development experience
• 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive)

Skills and attributes for success

• Architect in designing highly scalable solutions AWS.
• Strong understanding & familiarity with all AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs, Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in Apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 8 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.