דרושים מהנדס אבטחה ב-Ey ב-India, Bengaluru

Your Role

This role focuses on providing advisory and technical execution support to help our clients improve their cyber security posture and respond to cyber threats. You will provide security domain expertise and utilize your business insight to work closely with our clients to advise, design, build and deploy security solutions and services.

Your main responsibilities will be

• Architecture design and assessment of security solutions and services.
• Design, implement, and manage secure networks, systems, applications, and cloud infrastructure, ensuring optimal performance and scalability.
• Develop and maintain robust security measures including firewalls, intrusion detection/prevention systems, network segregation/segmentation, SIEM, EDR, XDR, MDR, etc.
• Stay updated on emerging IT security threats and implement appropriate safeguards.
• Conduct vulnerability assessments.
• Provide technical assistance in security incident investigations.
• Undertakes implementation, configuration and operationalization activities of new and existing security solutions or services.
• Research and recommend security upgrades, patches, and new security tools.
• Monitor changes in legislation and accreditation affecting security and advise relevant stakeholders.
• Configure and maintain systems in accordance with security best practices and compliance requirements.

To qualify for the role, you should have

• A BSc. degree in Computer Science, Systems Engineering, Cyber Security, Information Technology, or a related field is preferred.
• A MSc. degree in Information Security, Systems Engineering, Cyber Security, or a related field will be considered an advantage.
• Minimum 2 years of experience in a relevant role such as system security engineer, network security engineer, cloud security engineer, etc.
• Professional qualification such as GSEC, CompTIA Security+, CISSP Concentrations, or other relevant will be considered an advantage.
• Security certifications in Azure / AWS / Google Cloud will be considered an advantage.
• Strong understanding of Windows, Linux, and Active Directory.
• Hands-on knowledge of security-related products and technologies such as IDS/IPS, SIEM, EDR, DLP, network/endpoint/cloud security, etc.
• Strong understanding of cybersecurity concepts and methodologies.

Skills and attributes for success

• Strong analytical and problem-solving skills.
• Strong drive to excel professionally, and to guide and motivate others.
• Advanced written and verbal communication skills in English.
• Dedicated, innovative, resourceful, analytical, and able to work under pressure.
• Foster an efficient, innovative, and team-oriented work environment.

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:

• 13th salary and yearly bonus
• Provident Fund
• Private Medical and Life Insurance
• Flexible working arrangements (hybrid work and flexible work schedule)
• Friday afternoon off
• EY Tech MBA and EY MSc in Business Analytics
• EY Badges - digital learning certificates
• Mobility programs (if interested to work abroad)
• Paid Sick Leave
• Paid Paternity Leave
• Yearly wellbeing days off
• Maternity, Wedding, and New Baby Gifts
• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

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.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

Apply Now.

Your key responsibilities

• Create security standards, policies, and procedures.
  • Implement organizational process or policy changes.
  • Develop safety standards, policies, or procedures.
• Investigate and resolve security breaches
• Develop Response plan & train Security Managers to be able support / respond in case of medical emergencies, bomb threats, fire alarms, or intrusion alarms, following emergency response procedures.
• Review & ensure a sound, safe environment
  • Monitor organizational compliance with regulations
• Plan, direct Security Managers to safeguard company assets, employees, guests, or others on company property
  • Develop safety standards, policies, or procedures
• Evaluate security service provider organization policies, direct Security Managers ensure adherence to the established policies/ processes to address any on site Develop & Implement policies and methods to protect personnel against harassment, threats, or violence
  • Review & ensure strict compliance
  • Review periodic reports from the Security Managers
• Support & participate in governmental reviews, internal corporate evaluations, or assessments of the overall effectiveness of facility and personnel security processes
  • Evaluate program effectiveness
  • Develop follow-up actions, to improve EY’s preparedness for such reviews, in future.
• Develop & Schedule Training programs, to on site security teams or other organization members in security rules and procedures
  • Develop training programs on environmental awareness, conservation, or safety topics
• Assess risks to mitigate potential consequences of incidents and develop a plan to respond to incidents
  • Develop safety standards, policies, or procedures
  • Review risk assessment reports and recommend corrective measures
• Review security status, updates, and actual or potential problems, using established protocols.
• Direct strategies & Develop robust emergency management processes/ protocols and contingency planning.
  • Develop emergency response plans or procedures.
  • Direct organizational operations, projects, or services
• Conduct threat or vulnerability analyses to determine probable frequency, criticality, consequence, or severity of natural or man-made disasters or criminal activity on the organization's profitability or delivery of products or services.
  • Analyze risks to minimize losses or damages
• Provide leadership to Security Managers and teams, performing activities, such as background investigation, training, assigning work, performance evaluation, or disciplining.
  • Create framework for a fair & objective based evaluation employee performance, with growth mindset
• Develop budgets for security operations
  • Develop annual budgets, to be able to fulfil organization requirements and with an aim to achieve optimum operational efficiency.
• Write or review security-related documents, such as incident reports, proposals, and tactical or strategic initiatives
  • Prepare reports related to compliance matters
• Analyze and evaluate security operations to identify risks or opportunities for improvement through auditing, review, or assessment
  • Analyze risks to minimize losses or damages
• Develop integrated security controls/ solutions to ensure confidentiality, accountability, recoverability, or audit ability of sensitive information, proprietary information, or information technology resources.
  • Develop organizational methods or procedures.
  • Educate/ Train security managers to implement organizational security activities
• Review security policies, programs or procedures to ensure compliance with internal security policies, licensing requirements, or applicable government security requirements, policies, and directives.
  • Review and confirm, organizational compliance with regulations
• Conduct physical examinations of property to ensure compliance with security policies and regulations
  • Monitor facilities or operational systems
• Analyze & report security data to determine security needs, security program goals, or program accomplishments
  • Compile operational data
  • Analyze data to inform operational decisions or activities
• Coordinate security operations or activities with public law enforcement, fire and other agencies
  • Communicate with government agencies
  • Manage organizational security activities
• Review Operational Expense reports to ensure efficiency and quality of security operations
  • Analyze financial records to improve efficiency
• Review Purchase requests on security-related supplies, equipment, or technology and approve.
• Develop investigation programs, including collection and preservation of video and notes of surveillance processes or investigative interviews
  • Develop framework & procedures and oversee organizational need on security activities related to investigations
• Develop, arrange for, perform, or assess executive protection activities to reduce security risks.
• Develop operating strategies, plans, or procedures
• Implement organizational process or policy changes.
• Plan security for special and high-risk events.
  • Create models to support organizational needs for special or high-risk events
• Train & Direct Security managers to deploy efforts to reduce substance abuse or other illegal activities in the workplace
• Develop, recommend security procedures for operations or processes including, but not limited to, Control room operations, Security Surveillance systems, Incident Management, Asset protection, Premise safety & security, etc.,
  • Develop safety standards, policies, or procedures.
  • Train & develop security managers to ensure successful implementation of standard processes/policies/ procedures.
• Review preliminary reports or make presentations on internal investigations, losses, or violations of regulations, policies and procedures.
  • Review/Analyze reports related to compliance matters.
  • Communicate organizational policies and procedures
• Attend meetings, professional seminars, or conferences to keep abreast of changes in executive legislative directives or new technologies impacting security operations.
  • Maintain knowledge of current developments in area of expertise

Skills and attributes for success

• Excellence customer relationship management skills
• Should possess strong analytical and problem-solving skills. Should pay attention to detail
• Proven experience as security manager or similar position
• Experience using relevant technology and equipment (e.g. CCTV)
• Experience in reporting and emergency response planning
• Excellent knowledge of security protocols and procedures
• Solid understanding of budgeting and statistical data analysis
• Working knowledge of MS Office
• Excellent communication and interpersonal skills
• Outstanding organizational and leadership skills
• Certification in OSHAS & ISO 27001
• Certification in Disaster Management & Fire fighting
• Certification in Industrial Security Management
• Active Member of ASIS International / OSAC India chapter

To qualify for the role, you must have

• 15+ years of subject matter expert experience, with 8-10 years’ experience in managing security operations/ service delivery, in comparable organizations, with sound knowledge & experience, in premise safety & security services domain.
• Bachelor's degree in Business, or equivalent professional level experience

Ideally, you’ll also have

• Experience in Management role conducting development of processes, sustainable solutions, meaningful information systems for Security functions.
• Member of industry forums like IFMA/MRICS/OSAC/ASIS international etc., and having strong industry network
• Experience in working in large matrixed organizations
• Ability to function in a rapidly changing, heavily matrixed and often virtual environment
• Ability to prioritize, drive and adapt to change quickly in a fast-paced environment
• Culturally sensitivity and be capable of handling interactions with a “global mindset”
• To Coach/mentor team members in a cross-functional environment

What we look for

• Participates regularly in EY-wide and function-specific meetings, events and people initiatives
• Demonstrates executive presence establishes credibility quickly, commands attention and respect, demonstrates confidence, and deals comfortably with others
• Encourages innovation in others by allowing error, e.g., allowing people to try something new, being open to new ideas
• Creates an inclusive and flexible environment where people feel they are a valuable member part of the team. Promotes and demonstrates an inclusive and global mindset when interacting with others. Adapts to the style and cultural differences of others to enhance relationships
• Engages with team members to resolve business challenges, helping them analyze and address the root cause of problems so they can stay aligned and focused on successful execution of the team’s vision.
• Resolves team conflicts and performance issues effectively and respectfully.
• Demonstrates effective decision-making and maturity that enhances interactions
• Identifies areas of opportunity and generates ideas and solutions. Makes recommendations to leadership and is able to implement new ideas, improvements, technologies and new products.
• Promotes operational excellence by challenging current practices and providing feedback on opportunities to improve within own area of responsibility.
• Provides quality deliverables for self and teams within agreed-upon timelines
• Actively seek, wherever possible, to protect and regenerate the environment.
• Adheres to budgets, objectives and deadlines on projects with the aim of enhancing productivity and value
• Balances multiple priorities by considering priorities, urgency and impact on key relationships and resources
• Identifies and assesses risks and consults with leadership or stakeholders on options in a timely manner
• Manages team or project, delegates work effectively, and uses appropriate resources to manage costs while meeting deadlines
• Models objectivity and integrity with self and teams to adhere to firm values and limit risk
• Surfaces barriers to change and provides recommendations to overcome
• Uses experience and consultative questioning to home in on key issues and escalates as appropriate
• Grasps technical issues quickly and is able to act on them, resolve them or escalate to leadership as necessary
• Identifies and leverages leading practices, diverse perspectives and lessons learned
• Tailors communication approach to respective audience when sharing technical experience to increase understanding

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

Role Overview:

We are seeking a highly skilled and experiencedwith a minimum of 4 years of experience in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and Agentic AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI Agents, workflows and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Key Responsibilities:

• Design and implement state-of-the-art Agentic AI solutions tailored for the financial and accounting industry.
• Develop and implement AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges.
• Collaborate with stakeholders to identify business opportunities and define AI project goals within the financial and accounting sectors.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, Agents and evaluate their potential applications in financial and accounting contexts.
• Utilize generative AI techniques, such as LLMs and Agentic Framework, to develop innovative solutions for financial and accounting use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for financial and accounting use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Qualifications & Skills:

• Education – Bachelor’s/Master’s in Computer Science, Engineering, or related field (Ph.D. preferred).
• Experience – 4+ years in Data Science/Machine Learning with proven end-to-end project delivery.
• Technical Expertise – Strong in ML, deep learning, generative AI, RAG, and agentic AI design patterns.
• Programming Skills – Proficient in Python (plus R), with hands-on experience in TensorFlow, PyTorch, and modern ML/data stacks.
• GenAI Frameworks – Experience with LangChain, LangGraph, Crew, and other agentic AI frameworks.
• Cloud & Infrastructure – Skilled in AWS/Azure/GCP, containerization (Docker, Kubernetes), automation (CI/CD), and data/ML pipelines.
• Data Engineering – Expertise in data curation, preprocessing, feature engineering, and handling large-scale datasets.
• AI Governance – Knowledge of responsible AI, including fairness, transparency, privacy, and security.
• Collaboration & Communication – Strong cross-functional leadership with ability to align technical work to business goals and communicate insights clearly.
• Innovation & Thought Leadership – Track record of driving innovation, staying updated with latest AI/LLM advancements, and advocating best practices.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Deep knowledge of classical AIML (regression, classification, time series, clustering).
• Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Experience:

• 4 to 7 years
• Relevant Experience:4 to 7 years

Skills:

• ServiceNow Developer

Key Functions:

• Module with ITSM, Custom application, integration, Service Portal, CSM are the recommended.
• Work as part of an agile team developing, designing, and implementing new application modules, workflows, and catalog requests
• Build custom applications in ServiceNow by defining data tables, user interface and adding business logic
• Strong understanding of ServiceNow Development Platform including, but not limited to, ITSM, Contract management, Resource management, ITFM CMDB, Asset Management, Change Management, Custom Development, etc.
• Integration with 3rd party application, working experience in scripted REST API, SOAP etc.
• Must have worked on ServiceNow version upgrade.
• Experience in developing the Application functionalities using HTML, CSS and Angular JS.
• Experience in designing and development of UI using ServiceNow.
• Experience in ServiceNow Widgets, Client-side scripting, Server-side scripting and ITSM modules
• Customize ServiceNow applications and facilitate rollout of new applications and modules and configure Application UI and configure workflow
• Collaborate effectively with other ServiceNow administrators to develop solutions and handle general updates and configuration changes/requests
• Identify system deficiencies and recommend solutions. Troubleshoot production problems related to ServiceNow custom applications.
• Address problems of system integration, compatibility, and multiple platforms
• Ensure the latest release of ServiceNow application is implemented in a timely manner with minimal or no disruption to IT operations
• Maintenance and continuous improvement of the processes, standards, policies, working methods, and tools
• Ensure appropriate tools and processes are in place to have a development/production environment that is reliable and reproducible
• Ensure tool configuration consistency across development, stage, testing, sandbox, and production environments
• Participate in ongoing production support and end user support
• Ability to estimate work effort requirements efficiently and appropriately
• Assist in the evaluation and recommendation of application software packages, application integration and testing tools
• Very Strong communication skills, both written and verbal

Suggested technical certification

• ServiceNow admin certification
• Micro Certifications in ServiceNow concepts are advantageous
• Implementation specialist or Application Developer Certifications are advantageous
• Hands on day-to-day management of multiple ServiceNow instances, including managing major releases and patches, managing the SDLC release processes and implementing code into the platform to solve ever-changing needs.
• Minimum 3-5 years of coding, testing and implementing ServiceNow as a technical resource.
• Proficient using SOAP UI or other tools to test SOAP/REST Web Service APIs
• Strong working knowledge of enterprise integration architecture and enterprise application
• Experience developing workflows, Business Rules, ACLS, Client Scripts, Script Includes, UI Policies, Date Policies, UI Actions, and table extension in ServiceNow.

This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting.

Your key responsibilities

• Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud based engagements
• Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design
• Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows)
• Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.)
• Provides technical leadership to a team of data warehouse and business intelligence developers
• Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security
• Adhere to ETL/Data Warehouse development Best Practices
• Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud ( MS Azure/AWS/GCP)
• Assisting the team with performance tuning for ETL and database processes

Skills and attributes for success

• Minimum of 6 years of total experience with 3+ years in Data warehousing/ Business Intelligence field
• Solid hands-on 3+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse
• Strong knowledge of data architecture for staging and reporting schemas ,data models and cutover strategies using industry standard tools and technologies
• Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP)
• Minimum 3+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ]
• 2+ years hands-on experience in various Azure services preferred – Azure Data Factory,Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics ,Azure Analysis Services & Databricks
• Minimum of 3 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases ,Oracle/MySQL, Azure SQL and Azure Synapse
• Strong in PySpark, SparkSQL
• Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.)
• Strong creative instincts related to data analysis and visualization.
• Aggressive curiosity to learn the business methodology, data model and user personas.
• Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends.
• Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management
• Willingness to mentor team members
• Solid analytical, technical and problem-solving skills
• Excellent written and verbal communication skills

To qualify for the role, you must have

• Bachelor’s or equivalent degree in computer science, or related field, required. Advanced degree
• or equivalent business experience preferred
• Fact driven and analytically minded with excellent attention to details
• Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analyzing large volumes of data
• Relevant work experience of minimum 6 to 8 years in a big 4 or technology/ consulting set up

Ideally, you’ll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of the clients
• Willingness to travel extensively and to work on client sites / practice office locations
• Experience in Snowflake

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with leading businesses across a range of industries

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.
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.

About the Role

You will work closely with C-suite leaders, operating partners, and portfolio company executives to help them leverage GenAI, analytics, and data-driven platforms to unlock value, accelerate digital transformation, and create competitive advantage.

AI & Data Consulting for Private Equity

• Partner with PE Operating Partners and portfolio leadership teams to define and execute AI, GenAI, and analytics-driven strategies.
• Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation.
• Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies.

GenAI & Digital Transformation

• Lead GenAI-driven initiatives, including solution ideation, prototyping, and scaling across portfolios.
• Build proprietary AI/ML accelerators to enhance business processes such as customer care, software development, predictive analytics, and operational automation.
• Stay ahead of emerging trends in AI, LLMs, process mining, and advanced analytics to deliver cutting-edge solutions.

Data & Analytics Strategy

• Architect data solutions leveraging cloud platforms, data engineering frameworks, and predictive analytics models to solve complex business challenges.
• Guide portfolio companies on setting up data governance frameworks, data marketplaces, and analytics COEs.
• Design end-to-end data transformation programs, from roadmap creation to solution implementation.

Business Development & Client Management

• Work closely with PE account leaders to identify opportunities and develop tailored value propositions.
• Support pursuit strategy, proposal development, and client orals for strategic PE accounts.
• Represent the firm at global analyst briefings, industry forums, and thought leadership platforms.

Team Leadership & Collaboration

• Manage and mentor cross-functional teams across consulting, product development, and data engineering.
• Foster collaboration between AI product teams, analytics experts, and sector specialists to deliver integrated solutions.
• Drive knowledge sharing and capability-building within the team.

Key Requirements

• Educational Background
• MBA / PGDM / Master’s degree in Data Science, AI, Analytics, or Business Management.
• Engineering or quantitative background preferred.

Professional Experience

• 10–15 years of experience in AI, data analytics, digital transformation, and strategy consulting, preferably within private equity, M&A, or portfolio transformation contexts.
• Proven track record in AI-driven transformation programs, including GenAI, predictive analytics, and process mining.
• Experience in building and deploying accelerators, playbooks, or proprietary platforms for data-driven consulting.

Technical Expertise

• Strong understanding of GenAI frameworks, cloud platforms (Azure / AWS / GCP), data visualization tools, and analytics solutions.
• Exposure to ERP transformations (e.g., Dynamics 365, SAP, Oracle) and portfolio tech integrations is a plus.
• Familiarity with process mining tools like Celonis, Signavio, or PAFnow.

Soft Skills

• Exceptional client engagement and stakeholder management skills, especially with C-suite executives.
• Strong problem-solving mindset with the ability to translate AI into business value.
• Excellent communication, presentation, and leadership abilities.

Preferred Certifications

• GenAI, AI/ML, or data analytics certifications (Google, Microsoft, AWS, Coursera, etc.)

Why Join Us

• Be at the forefront of AI-driven innovation in the Private Equity sector.
• Work with global PE clients and their portfolio companies to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

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.

Responsibilities:

• Responsible for designing and implementing security solutions for applications and services deployed on AWS or GCP cloud platforms.
• Design secure SDLC processes and embed security into CI/CD pipelines.
• Develop and enforce policies as code for secure cloud-native deployments.
• Drive security automation and DevSecOps maturity across teams.
• Participate in guiding application teams through key security functional requirements and edge cases.
• Drive security initiatives and adoptions of secured solutions in team by addressing key challenges that aids senior leaderships with strategic directions.
• Ensure alignment with industry standards and regulatory requirements.
• Strong understanding around implementation techniques and tools with regards to application security (eg: SAST, DAST, IaC scanning, secret detection, drift detection etc) tailored for cloud environments (preferably in AWS/GCP Cloud).
• Guide as an SME in the field of security on Cloud with focus on governance, audits, and compliance efforts.
• Perform routine development activities in a sprint based model to enforce detective, preventative and corrective cloud security controls on Cloud.

Preferred Requirements:
• Deep expertise in core domains of Cloud computing: Compute, Storage, Networking, Data and Security.
• Advanced proficiency in Python/Go with Cloud-native developments and automation use-cases.
• Strong leadership and collaboration skills across cross-functional teams.
• Deep knowledge and hands-on skills in secure development lifecycle and cloud-native scalable design patterns (eg: microservices, containers, CI/CD pipelines with Cloud-native technologies like AWS CodePipeline, Jenkins, Github Actions etc.
• Familiarity with IaC hardening techniques.
• Strong policy as code development
• Strong hands-on experience with Infrastructure as Code technologies like Terraform (Preferred), AWS CloudFormation templates.
• Deep understanding of cloud-native security, container security, and serverless protection.
• Familiarity/awareness around Policy as code in cloud environments.
• Hands-on experience with CSPM tools (Prisma/Wiz/AWS Security Hub etc).

Required:
• Minimum 4+ years of Cloud technology, specifically in Security engineering, or Security Architecture roles
• 3+ years of extensive hands-on experience with AWS Cloud/GCP Cloud.
• 2+ years of Python/Go development for automation and other use-cases on AWS Cloud/GCP Cloud.
• 3+ years of Terraform(preferred)/AWS CloudFormation experience in infrastructure provisioning. Certifications preferred.
• 3+ years of experience in Github Actions, Bash Scripts, YAML etc.
• Deep expertise in writing production quality modular code or 3+ years of experience in Policy as Code technologies like: HashiCorp Sentinel Policies, OPA (rego policy), OPA GateKeeper policies for Kubernetes, AWS SCPs, Google Organization Policies.
• Strong GIT or version control experience.
• 2+ years of experience working with Docker products, Kubernetes clusters (cloud-native preferably EKS/GKE) and overall containerization lifecycle.
• Any of the following certifications are a plus: AWS Certified Solutions Architect Associate, Google Cloud Professional security engineer, AWS Certified Security Specialty.
• Familiarity with Security frameworks in threat modelling (STRIDE) and other OWASP TOP 10 and implementing them at scale.

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.