Security Engineer Jobs

Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data. Organizations around the world rely on Alation to drive self-service analytics, cloud transformation, data governance, and AI innovation. Our technology helps enterprises connect people and data to make faster, smarter, and more confident decisions. With more than $340M in funding – valued at over $1.7 billion and more than 650 customers, including 40% of the Fortune 100. As data becomes the foundation of every business, Alation is leading the way in helping organizations unlock their full potential. By bringing intelligence, automation, and trust to every interaction, we empower customers to scale data-driven innovation with confidence and speed. Joining Alation means being part of a winning team shaping the future of AI-powered data intelligence. We move fast, think big, and deliver results together. Job Description About the Role Independent contributor role who is one of the pillars of the team. Opportunity to own business critical components and services, powering key use cases for Alation’s customers. The role is one of high ownership, large business impact and executing on a future vision that will be loved by the customers. What You’ll Do • Own the design, development, and optimization of features and services • Solve challenging technical problems with minimal guidance • Develop, maintain and evangelize scalable, maintainable, and resilient source code • Actively use AI coding assistants (e.g. Claude, GitHub Copilot, Cursor) to accelerate development — from scaffolding features and writing tests to reviewing code and debugging • Leverage AI tools to iterate quickly, reduce boilerplate, and ship production-ready code at higher velocity • Evaluate and critically review AI-generated code for correctness, security, and alignment with team standards before merging • Debug and troubleshoot issues efficiently, providing well-reasoned solutions What You Need • 5+ years of professional experience designing, developing, and shipping software products and/or n-tier services • Proficiency in any object-oriented language, preferably Python • Proficiency in front-end frameworks, preferably React and a language such as Typescript • Demonstrated experience using AI coding assistants (e.g. GitHub Copilot, Cursor, Claude Code, or similar) as a core part of your development workflow — for code generation, test writing, and code review • Comfort working in an AI-augmented engineering environment where speed of delivery and quality are both expected to be high • Ability to write precise, effective prompts and provide context to AI tools to get useful, production-quality outputs • Experience in working with micro-services • Strong problem-solving and analytical skills • Excellent communication and collaboration skills • Bachelor’s Degree in Computer Science or similar A Big Plus • Experience with Airflow • Working experience in Kubernetes and/or Docker • Exposure to data modeling in RDBMS Alation, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.

Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data. Organizations around the world rely on Alation to drive self-service analytics, cloud transformation, data governance, and AI innovation. Our technology helps enterprises connect people and data to make faster, smarter, and more confident decisions. With more than $340M in funding – valued at over $1.7 billion and more than 650 customers, including 40% of the Fortune 100. As data becomes the foundation of every business, Alation is leading the way in helping organizations unlock their full potential. By bringing intelligence, automation, and trust to every interaction, we empower customers to scale data-driven innovation with confidence and speed. Joining Alation means being part of a winning team shaping the future of AI-powered data intelligence. We move fast, think big, and deliver results together. Job Description About the Role Independent contributor role who is one of the pillars of the team. Opportunity to own business critical components and services, powering key use cases for Alation’s customers. The role is one of high ownership, large business impact and executing on a future vision that will be loved by the customers. What You’ll Do • Own the design, development, and optimization of features and services • Solve challenging technical problems with minimal guidance • Develop, maintain and evangelize scalable, maintainable, and resilient source code • Actively use AI coding assistants (e.g. Claude, GitHub Copilot, Cursor) to accelerate development — from scaffolding features and writing tests to reviewing code and debugging • Leverage AI tools to iterate quickly, reduce boilerplate, and ship production-ready code at higher velocity • Evaluate and critically review AI-generated code for correctness, security, and alignment with team standards before merging • Debug and troubleshoot issues efficiently, providing well-reasoned solutions What You Need • 5+ years of professional experience designing, developing, and shipping software products and/or n-tier services • Proficiency in any object-oriented language, preferably Python • Proficiency in front-end frameworks, preferably React and a language such as Typescript • Demonstrated experience using AI coding assistants (e.g. GitHub Copilot, Cursor, Claude Code, or similar) as a core part of your development workflow — for code generation, test writing, and code review • Comfort working in an AI-augmented engineering environment where speed of delivery and quality are both expected to be high • Ability to write precise, effective prompts and provide context to AI tools to get useful, production-quality outputs • Experience in working with micro-services • Strong problem-solving and analytical skills • Excellent communication and collaboration skills • Bachelor’s Degree in Computer Science or similar A Big Plus • Experience with Airflow • Working experience in Kubernetes and/or Docker • Exposure to data modeling in RDBMS Alation, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.

Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data. Organizations around the world rely on Alation to drive self-service analytics, cloud transformation, data governance, and AI innovation. Our technology helps enterprises connect people and data to make faster, smarter, and more confident decisions. With more than $340M in funding – valued at over $1.7 billion and more than 650 customers, including 40% of the Fortune 100. As data becomes the foundation of every business, Alation is leading the way in helping organizations unlock their full potential. By bringing intelligence, automation, and trust to every interaction, we empower customers to scale data-driven innovation with confidence and speed. Joining Alation means being part of a winning team shaping the future of AI-powered data intelligence. We move fast, think big, and deliver results together. Job Description About the Role Independent contributor role who is one of the pillars of the team. Opportunity to own business critical components and services, powering key use cases for Alation’s customers. The role is one of high ownership, large business impact and executing on a future vision that will be loved by the customers. What You’ll Do • Own the design, development, and optimization of features and services • Solve challenging technical problems with minimal guidance • Develop, maintain and evangelize scalable, maintainable, and resilient source code • Actively use AI coding assistants (e.g. Claude, GitHub Copilot, Cursor) to accelerate development — from scaffolding features and writing tests to reviewing code and debugging • Leverage AI tools to iterate quickly, reduce boilerplate, and ship production-ready code at higher velocity • Evaluate and critically review AI-generated code for correctness, security, and alignment with team standards before merging • Debug and troubleshoot issues efficiently, providing well-reasoned solutions What You Need • 5+ years of professional experience designing, developing, and shipping software products and/or n-tier services • Proficiency in any object-oriented language, preferably Python • Proficiency in front-end frameworks, preferably React and a language such as Typescript • Demonstrated experience using AI coding assistants (e.g. GitHub Copilot, Cursor, Claude Code, or similar) as a core part of your development workflow — for code generation, test writing, and code review • Comfort working in an AI-augmented engineering environment where speed of delivery and quality are both expected to be high • Ability to write precise, effective prompts and provide context to AI tools to get useful, production-quality outputs • Experience in working with micro-services • Strong problem-solving and analytical skills • Excellent communication and collaboration skills • Bachelor’s Degree in Computer Science or similar A Big Plus • Experience with Airflow • Working experience in Kubernetes and/or Docker • Exposure to data modeling in RDBMS Alation, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.

Role : GenAI Architect Experience: 10- 20 years Locations: Chennai/ bangalore/ Pune. Responsibilities: • Design, develop, and deliver innovative AI and ML solutions that effectively address complex business challenges. • Lead the complete AI development lifecycle, including problem definition, data acquisition, model development, deployment, and ongoing maintenance. • Collaborate closely with cross-functional teams to gather and analyze business requirements, translating them into scalable AI solutions. • Stay current with emerging AI/ML technologies, frameworks, and industry best practices to continuously enhance solution quality. • Mentor and guide junior AI developers, fostering skill development and knowledge sharing within the team. • Conduct rigorous code reviews to ensure high standards of code quality, scalability, and performance in AI applications. • Partner with data scientists and engineers to preprocess, clean, and prepare data for modeling. • Evaluate and select the most appropriate AI and ML algorithms tailored to specific business needs. Deploy AI models in production environments, continuously monitoring and optimizing their performance. • Implement robust data privacy and security protocols within AI solutions to ensure compliance and protect sensitive information. Requirements / Qualifications Education: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields. Experience: • Minimum 10 years in IT with at least 5 years focused on AI/ML, Generative AI, or Large Language Model (LLM)-based solution development. Programming: • Expert-level proficiency in Python. Generative AI Expertise Deep experience with Large Language Models (LLMs) and advanced prompt engineering techniques. • Design and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced knowledge retrieval. • Integration proficiency with vector databases such as Pinecone, Weaviate, FAISS, and Milvus.

Job Title: Full Stack Developer Experience: 3–8 Years Location: Chennai Employment Type: Full-Time (Permanent) Job Summary We are seeking a Full Stack Developer with strong expertise in Microsoft .NET technologies and modern frontend frameworks to develop and maintain enterprise applications. The ideal candidate should have hands-on experience in .NET/.NET Core, REST APIs, SQL Server, React JS, and AngularJS, along with basic knowledge or exposure to Java, Spring Boot, and Hibernate. The candidate should be capable of working across the full application stack and collaborating with cross-functional teams to deliver high-quality software solutions. Key Responsibilities · Design, develop, and maintain enterprise web applications. · Develop scalable backend services using C#, .NET Core, and ASP.NET Core Web APIs. · Design and implement secure and high-performance RESTful APIs. · Develop responsive and user-friendly interfaces using React JS and AngularJS. · Create and optimize SQL queries, stored procedures, and database structures. · Integrate frontend applications with backend services and third-party systems. · Troubleshoot application issues and provide timely resolutions. · Participate in code reviews and follow coding standards and best practices. · Collaborate with business analysts, QA engineers, and project managers. · Support deployment, maintenance, and enhancement activities. · Contribute to technical documentation and knowledge sharing. Technical Skills – Must Have Backend Development · Strong experience in C# and .NET/.NET Core. · Hands-on experience with ASP.NET Core Web API development. · Strong knowledge of REST API design and implementation. · Experience with Entity Framework or similar ORM frameworks. · Strong understanding of Object-Oriented Programming (OOP) concepts and design patterns. Database · Strong experience in Microsoft SQL Server. · Experience writing complex SQL queries, stored procedures, functions, and performance tuning. Frontend Development · Strong experience with React JS. · Experience with AngularJS. · Proficiency in HTML5, CSS3, JavaScript (ES6+), and responsive design principles. Source Control · Experience with Git and Bitbucket. Technical Skills – Good to Have · Exposure to Java, Spring Boot, and Hibernate. · Understanding of microservices architecture. · Experience with CI/CD pipelines. · Exposure to Azure or cloud platforms. · Knowledge of application security and performance optimization. Preferred Experience · Experience developing enterprise business applications. · Experience working in Agile/Scrum environments. · Exposure to multi-tier and service-oriented architectures. · Experience integrating with third-party APIs and services. Soft Skills · Strong analytical and problem-solving skills. · Excellent communication and teamwork abilities. · Ability to work independently and take ownership of deliverables. · Strong attention to detail and commitment to quality. Educational Qualification · Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field. Key Attributes · Strong expertise in Microsoft technology stack. · Willingness to learn and contribute to Java-based applications when required. · Ownership mindset with a focus on quality and delivery. · Ability to work effectively across frontend and backend technologies. Preferred Candidate Profile · 3–8 years of experience in full-stack development. · Strong expertise in C#, .NET Core, ASP.NET Core Web API, SQL Server, React JS, AngularJS, Git, and Bitbucket. · Exposure to Java, Spring Boot, and Hibernate is desirable. · Ability to contribute across the complete software development lifecycle. Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Benefits: • Flexible schedule • Health insurance • Paid sick time • Provident Fund Education: • Bachelor's (Required) Experience: • Full stack development: 3 years (Required) Language: • English (Required) Work Location: In person

Job Requirements At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster. Job Title: Senior Backend Developer — Java, Reactive Spring, AWS Experience: 6+ years of hands-on backend engineering, including 3+ years building cloud-native, event-driven services on AWS. --- Job Summary We are seeking an experienced Senior Backend Developer to build and scale the services behind our Dynamic Service Options (DSO) platform. You will work across two Java + Spring Boot (WebFlux) codebases: · an authoring backend — the data-production side, where machine parts and service data are ingested from a cloud data warehouse, validated, enriched by a service-option engine, and published as datasets · a delivery backend — the consumption side, which receives published datasets, applies dataset-level permissions, and serves the user-facing APIs behind the embeddable Dynamic Service Options experience Both are fully reactive, event-driven systems on R2DBC/PostgreSQL, AWS Lambda, SQS and ECS Fargate, sharing a multi-module Gradle structure, OpenAPI-first APIs, Flyway-managed schemas, OpenTelemetry tracing and CloudFormation-driven deployments. The ideal candidate is fluent in non-blocking reactive programming with Project Reactor, comfortable owning a feature end-to-end (API → async job → database → infrastructure → dashboard), and holds a high bar for testing, observability and secure-by-default design. --- Key Responsibilities · Design, build and maintain reactive REST APIs using Spring Boot WebFlux, returning `Mono`/`Flux` end-to-end with no blocking calls anywhere in the request path. · Develop and evolve event-driven background jobs running on AWS Lambda, triggered by SQS FIFO queues and EventBridge cron schedules, using a mediator/command-handler pattern with explicit concurrency control, retry policies and dead-letter queue handling. · Model and query data in PostgreSQL (Aurora Serverless) using Spring Data R2DBC repositories and a type-safe jOOQ DSL for dynamic queries; leverage advanced Postgres features such as JSONB, ltree hierarchies, partitioning and appropriate GIN/GIST indexing. · Author and review Flyway migrations (versioned and repeatable), keeping schema changes backward-compatible and validated in CI. · Maintain a clean multi-module Gradle architecture — shared library, API service and Lambda worker — placing code in the correct module and avoiding cross-layer leakage. · Design OpenAPI-first APIs: generated specs, standardized response envelopes and error models, spec linting in the pipeline, and consistent HTTP semantics · Integrate with external systems — Snowflake (REST API with JWT key-pair auth and long-running query polling), internal product/entitlement services, and AWS services (S3, Secrets Manager, DynamoDB) via async SDK clients. · Implement caching and performance strategies (Caffeine in-memory/Redis caches with TTLs, query tuning, parallel composition with `Mono.zip`) for high-volume ingestion and reporting workloads. · Instrument services with OpenTelemetry / AWS Distro for OpenTelemetry (ADOT): custom spans, trace-context propagation across HTTP and SQS boundaries, structured logging, and RED metrics surfaced in CloudWatch Application Signals, X-Ray and Grafana dashboards. · Write unit and integration tests with JUnit 5, Mockito and Reactor `StepVerifier`; keep coverage and quality gates green in SonarQube. · Contribute to CI/CD: GitHub Actions build/test/scan workflows, multi-stage Docker builds, ECR image publishing, Lambda artifact packaging, and CloudFormation deployments across dev/QA/UAT/prod. · Apply secure-by-default practices: OAuth2 resource-server token validation, role/entitlement-based authorization filters, least-privilege IAM, secrets in AWS Secrets Manager (never in code), and input validation at every boundary. · Participate in code reviews, uphold documented coding standards, and mentor mid-level engineers on reactive patterns and cloud design. We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard. We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Core Java & Frameworks · Java 17+ (we run the latest LTS) — records, sealed types, streams and modern language features. · Spring Boot in depth, including WebFlux and Spring Security (OAuth2 Resource Server). · Project Reactor — `Mono`/`Flux` composition, error operators, backpressure and retries; no `.block()`, `Thread.sleep()` or blocking SDKs. · Gradle multi-module builds, Lombok, Jackson. Data · PostgreSQL at a professional level — schema design, indexing and query plans. · R2DBC or equivalent reactive data access, and jOOQ or comparable type-safe SQL tooling. · Flyway or Liquibase migrations validated in CI. Cloud & Messaging · Hands-on AWS — Lambda, SQS (FIFO semantics, visibility timeouts, DLQs), EventBridge, S3, Secrets Manager, ECS Fargate, RDS/Aurora, CloudWatch, IAM. · AWS SDK v2 async clients or Spring Cloud AWS. · Infrastructure as Code — CloudFormation, or SAM/CDK/Terraform with willingness to work in CloudFormation. APIs & Contracts · OpenAPI 3, REST conventions, versioning, consistent error contracts and bean validation. Quality & Delivery · JUnit 5, Mockito, Spring Boot Test, Reactor Test — meaningful tests for both success and failure paths. · Docker and Compose for local development. · Git, pull-request workflow and GitHub Actions or equivalent CI/CD. · SonarQube or similar static analysis, with coverage discipline. Engineering Judgment · Distributed-systems fluency — idempotency, at-least-once delivery, retries, timeouts, partial failure and eventual consistency. · Strong analytical, debugging and communication skills; owns delivery end-to-end. --- Preferred Skills · OpenTelemetry / distributed tracing; Grafana, Tempo, Prometheus or Loki. · Snowflake or another cloud data warehouse; large-scale ingestion pipelines. · Spring Cloud Function on Lambda, and JVM cold-start tuning (CRaC, SnapStart, fat JARs). · LocalStack for local AWS emulation. · Serverless cost/performance tuning and JVM tuning for containers. · Enterprise SSO (Azure Entra, OAuth2 introspection) and centralized entitlement/RBAC services. · OWASP Top 10 awareness and secure code review. · Agile/Scrum delivery and trunk-friendly branching. --- What You'll Work On · High-volume data ingestion pipelines pulling from a cloud data warehouse, staging, applying prediction rules, and loading results. · SBOM generation with parallel warehouse queries, CSV assembly and S3 delivery via presigned URLs. · A service-option engine performing tiered template matching against external product-catalog lookups. · Template upload & validation flows with CSV parsing, cached external validation and transactional persistence. · The Service-option dataset lifecycle — request intake, generation, versioning, locking, expiry and custom (user-modified) dataset variants persisted to S3 and served through presigned URLs. · Publish/consume Lambda workflows that move datasets from the authoring system into delivery: SQS request and FIFO job queues, EventBridge-scheduled invocations, a command/handler job model with bounded concurrency, retry limits, dead-letter queues and per-run status and log tracking. · Dataset-level permissions — organization- and user-scoped access grants with multiple levels, owner attribution, layered on top of OAuth2 token validation and entitlement-based authorization enforced per endpoint. · Third-party orchestration — ServiceNow request/task lifecycle for dataset provisioning, product-information lookups, and identity/directory resolution, all with caching, timeouts and graceful degradation. · Scheduled housekeeping jobs driven by EventBridge, with per-job log capture and status tracking. · The observability layer that makes all of the above debuggable in production.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. AI - IT/OT Network & Infrastructure Security – Senior Role Summary We are looking for an AI - IT/OT Network & Infrastructure Security Senior professional with solution mindset and hands on security engineering expertise in network security / Infrastructure security concepts, risk and controls concepts, architecture design, transformations that sit at the intersection of enterprise platforms, cybersecurity controls, and AI tools. This role is for a Senior professional who should have practical experience in network security engineering, detection engineering, and OT cyber risk reduction, with growing exposure to AI-assisted security operations, prompt engineering, AI-driven anomaly detection, and device behavior analytics. This role is part of the Cyber Frontier & AI capability focused on enabling scalable, AI-first cyber defense across enterprise and industrial environments. Key Responsibilities • Understands design and implementation of network and infrastructure security strategies across enterprise, cloud, and OT environments. • Drive adoption of Zero Trust, IEC 62443-aligned OT security controls, and advanced segmentation architectures. • Possess knowledge about deployment and governance of NGFW, NAC, VPN, ZTNA, SASE,DNS security, CASB, and CSPM solutions. • Incident response and security improvement initiatives to enhance cyber resilience across hybrid infrastructure. • Possess knowledge & experience on secure remote access, DMZ architecture, PLC security, and cloud network protection. • Good understanding on AI-assisted IT/OT security architecture and operations, enabling predictive threat monitoring and automated response within industrial environments. • Understands AI-driven anomaly detection models to identify deviations in OT network traffic, process behaviors, and industrial protocols (e.g., Modbus, DNP3, OPC). • Build AI-based rule optimization frameworks for IT/OT security controls, improving traffic filtering, segmentation policies, and alert accuracy. • Leverage AI for OT network traffic optimization, enabling intelligent routing, congestion minimization, and adaptive policy enforcement. • Implement AI-powered device behavior profiling, establishing baselines for PLCs, HMIs, and IoT/IIoT assets to detect unauthorized or abnormal activities. • Apply AI in PLC code analysis and review, identifying logic anomalies, misconfigurations, and potential security vulnerabilities in industrial control systems. • Utilize AI/ML for network threat detection, including intrusion detection, lateral movement analysis, and zero-day attack identification in IT/OT environments. • Design and optimize prompt engineering strategies to effectively leverage GenAI tools for IT/OT security use cases such as incident investigation, log analysis, and threat intelligence enrichment. • Enable AI-driven continuous monitoring and predictive risk analytics to enhance IT/OT resilience and reduce operational downtime. • Build reusable methods, accelerators, reference architectures, and runbooks that strengthen the firm’s AI Network & Infrastructure Security offerings and improve repeatability across sectors and accounts. • Manage client expectations, delivery scope, solution quality, risks, and technical escalations while coaching teams and enabling long-term client capability through documentation and knowledge transfer. Required Qualifications • 4–8 years of experience across AI driven Network & Infrastructure security domain, Security architecture, OT security, Zero Trust Security, or related fields. • Experience with OT security tools (Nozomi, Claroty, Armis, Dragos, Cisco Cyber Vision) and OT vulnerability management. • Expertise in XDR, Zero Trust, and regulatory frameworks (IEC 62443, CIS). Hands-on with NGFWs (Palo Alto, Cisco, Fortinet, Azure Firewall) and VMware virtualization security. • Skilled in SSE/SASE platforms (Netskope, Zscaler, Akamai) and secure access technologies (VPN, ZTNA, DNS security). • Strong capability in multi-vendor security integration across IT, OT, and cloud environments. • Strong client-facing communication and the ability to operate as a trusted technical advisor to senior stakeholders. Ideally, you’ll also have • Good soft skills i.e. verbal & written communication, technical document writing etc • Strong project management, negotiation and interpersonal skills • Prior experience working in Advisory or Technology Consulting industry • Customer orientation skills • Knowledge of Information security standards and compliances (ISO 27001, ISO 27017, NIST 800 53, NIST 800-207, CISA, CIS benchmark etc.) • Industry related certification (e.g. CISSP, CISA, CISM, SABSA, PRINCE2, TOGAF) • Vendor related certifications (e.g. Zscaler, Nozomi, Netskope, Palo Alto Networks, Cisco & others) Why join us Join a globally connected cybersecurity practice helping clients protect their network & infra structure security portfolio in an AI-driven world. You will work at the intersection of IT/OT Network , Infrastructure security, and frontier AI — helping shape practical, scalable solutions that reduce risk, enable trust, and support secure business transformation. This is consistent with the internal positioning of the network & infrastructure security practice as technology-enabled, consulting-led, and globally delivered. Typical work environment • Global, cross-functional teams • Mix of advisory, architecture, engineering, and delivery • Exposure to strategic client programs and market-shaping offerings • Opportunity to build reusable assets, accelerators, and modernization patterns consistent with a global delivery model EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. AI - IT/OT Network & Infrastructure Security – Senior Role Summary We are looking for an AI - IT/OT Network & Infrastructure Security Senior professional with solution mindset and hands on security engineering expertise in network security / Infrastructure security concepts, risk and controls concepts, architecture design, transformations that sit at the intersection of enterprise platforms, cybersecurity controls, and AI tools. This role is for a Senior professional who should have practical experience in network security engineering, detection engineering, and OT cyber risk reduction, with growing exposure to AI-assisted security operations, prompt engineering, AI-driven anomaly detection, and device behavior analytics. This role is part of the Cyber Frontier & AI capability focused on enabling scalable, AI-first cyber defense across enterprise and industrial environments. Key Responsibilities • Understands design and implementation of network and infrastructure security strategies across enterprise, cloud, and OT environments. • Drive adoption of Zero Trust, IEC 62443-aligned OT security controls, and advanced segmentation architectures. • Possess knowledge about deployment and governance of NGFW, NAC, VPN, ZTNA, SASE,DNS security, CASB, and CSPM solutions. • Incident response and security improvement initiatives to enhance cyber resilience across hybrid infrastructure. • Possess knowledge & experience on secure remote access, DMZ architecture, PLC security, and cloud network protection. • Good understanding on AI-assisted IT/OT security architecture and operations, enabling predictive threat monitoring and automated response within industrial environments. • Understands AI-driven anomaly detection models to identify deviations in OT network traffic, process behaviors, and industrial protocols (e.g., Modbus, DNP3, OPC). • Build AI-based rule optimization frameworks for IT/OT security controls, improving traffic filtering, segmentation policies, and alert accuracy. • Leverage AI for OT network traffic optimization, enabling intelligent routing, congestion minimization, and adaptive policy enforcement. • Implement AI-powered device behavior profiling, establishing baselines for PLCs, HMIs, and IoT/IIoT assets to detect unauthorized or abnormal activities. • Apply AI in PLC code analysis and review, identifying logic anomalies, misconfigurations, and potential security vulnerabilities in industrial control systems. • Utilize AI/ML for network threat detection, including intrusion detection, lateral movement analysis, and zero-day attack identification in IT/OT environments. • Design and optimize prompt engineering strategies to effectively leverage GenAI tools for IT/OT security use cases such as incident investigation, log analysis, and threat intelligence enrichment. • Enable AI-driven continuous monitoring and predictive risk analytics to enhance IT/OT resilience and reduce operational downtime. • Build reusable methods, accelerators, reference architectures, and runbooks that strengthen the firm’s AI Network & Infrastructure Security offerings and improve repeatability across sectors and accounts. • Manage client expectations, delivery scope, solution quality, risks, and technical escalations while coaching teams and enabling long-term client capability through documentation and knowledge transfer. Required Qualifications • 4–8 years of experience across AI driven Network & Infrastructure security domain, Security architecture, OT security, Zero Trust Security, or related fields. • Experience with OT security tools (Nozomi, Claroty, Armis, Dragos, Cisco Cyber Vision) and OT vulnerability management. • Expertise in XDR, Zero Trust, and regulatory frameworks (IEC 62443, CIS). Hands-on with NGFWs (Palo Alto, Cisco, Fortinet, Azure Firewall) and VMware virtualization security. • Skilled in SSE/SASE platforms (Netskope, Zscaler, Akamai) and secure access technologies (VPN, ZTNA, DNS security). • Strong capability in multi-vendor security integration across IT, OT, and cloud environments. • Strong client-facing communication and the ability to operate as a trusted technical advisor to senior stakeholders. Ideally, you’ll also have • Good soft skills i.e. verbal & written communication, technical document writing etc • Strong project management, negotiation and interpersonal skills • Prior experience working in Advisory or Technology Consulting industry • Customer orientation skills • Knowledge of Information security standards and compliances (ISO 27001, ISO 27017, NIST 800 53, NIST 800-207, CISA, CIS benchmark etc.) • Industry related certification (e.g. CISSP, CISA, CISM, SABSA, PRINCE2, TOGAF) • Vendor related certifications (e.g. Zscaler, Nozomi, Netskope, Palo Alto Networks, Cisco & others) Why join us Join a globally connected cybersecurity practice helping clients protect their network & infra structure security portfolio in an AI-driven world. You will work at the intersection of IT/OT Network , Infrastructure security, and frontier AI — helping shape practical, scalable solutions that reduce risk, enable trust, and support secure business transformation. This is consistent with the internal positioning of the network & infrastructure security practice as technology-enabled, consulting-led, and globally delivered. Typical work environment • Global, cross-functional teams • Mix of advisory, architecture, engineering, and delivery • Exposure to strategic client programs and market-shaping offerings • Opportunity to build reusable assets, accelerators, and modernization patterns consistent with a global delivery model EY | Building a better working world 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. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: Director- Software Engineering Lead Job Location: Chennai or Bangalore GCL: F Introduction to role: Are you ready to set the technical direction for enterprise-scale AI applications that drive measurable value and improve patient outcomes? In this role, you will provide deep technical leadership for AI-powered products and platforms, guiding the responsible adoption of Generative AI and machine learning at scale! You will define the architecture, standards, and platform capabilities that multiple product teams rely on to deliver secure, reliable, and cost-efficient solutions. Do you thrive on influencing sophisticated decisions and uniting product, data, and security collaborators to deliver AI responsibly? You will help build how we turn sophisticated information into practical insights, collaborating across the company to raise quality, accelerate delivery, and embed rigorous governance. Here, ingenuity comes with accountability—innovation is empowered, and following the accurate procedures is non-negotiable to ensure patient safety and achieve n trust. Accountabilities: Define and lead a multi-year technical vision for AI applications and platforms, aligning technology choices to business outcomes and total cost of ownership. Establish and carry out architecture principles, reference designs, and patterns for full-stack AI solutions (GenAI, ML, data foundations) to ensure reliability, security, and scalability. Provide technical leadership across a portfolio of AI initiatives; review solution designs, mediate trade-offs, and ensure value delivery through stage gates and measurable objectives. Drive shared components, APIs, model/prompt registries, feature stores, RAG services, and internal developer tooling to accelerate delivery and standardize quality. Lead model selection frameworks, evaluation methods, prompt governance, guardrails, and human-in-the-loop patterns for LLMs, agents, and retrieval systems. Own technical standards for SLOs, resilience, observability, and cost efficiency; guide guidelines for model and service performance monitoring and continuous improvement in production. Embed security, privacy, and ethical AI principles into building and delivery, including bias testing, explainability, and provenance; collaborate with Security, Legal, and Compliance on governance and audits. Translate strategy into roadmaps and reference implementations with Product, Data Science, and Platform Engineering; influence adoption through technical guidance rather than line authority. Mentor and upskill senior engineers and technical leads; cultivate communities of practice and technical learning programs to amplify impact. Evaluate and guide strategic technology partners and platforms (cloud, model providers, integration vendors), setting technical guardrails, SLAs, and cost controls. Scan emerging technologies (e.g., multimodal models, agentic workflows, vector databases, privacy-preserving ML), run targeted pilots, and transition validated innovations into production-ready standards. Essential Skills/Experience: • 15+ years in software/AI engineering with a strong record of technical leadership; experience guiding managers and senior engineers through technical influence rather than formal management. • Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience); advanced degree preferred. • Deep experience designing distributed, cloud-native systems and microservices; strong understanding of data architectures (OLTP/OLAP, streaming, warehousing such as Snowflake) and API ecosystems. • Confirmed expertise with ML and GenAI solution patterns at scale, including model lifecycle management (training/fine-tuning, evaluation, drift monitoring), ML Ops, and prompt/guardrail governance. • Proficiency across modern stacks: Python; JavaScript/TypeScript/Node.js; front-end frameworks (React/Angular/Vue); back-end (Django/Flask/Fast API); CI/CD; infrastructure-as-code; Docker/Kubernetes. • Significant experience on AWS, Azure, or GCP for secure AI/ML deployments (handled model services, serverless, containers, GPU/accelerator usage, cost optimization). • Hands-on familiarity with foundation models and providers (e.g., Open AI, Azure Open AI, Bedrock, Cognitive Services), RAG architectures, vector databases, and evaluation/guardrail tooling. • Strong command of software security, privacy-by-design, and responsible AI practices; experience embedding controls into delivery processes and succeeding in audits. • Consistent record to communicate sophisticated technical concepts to executives and non-technical collaborators; track record of cross-organizational technical influence and change leadership. Desirable Skills/Experience: • Experience establishing internal developer platforms, reusable AI components, or model/platform Centers of Excellence. • Background in enterprise integrations and data engineering (ETL/ELT, streaming, orchestration). • Familiarity with analytics and visualization tools (e.g., Tableau, Power BI) as part of end-to-end product experiences. • Exposure to regulated environments and model risk frameworks; familiarity with explain-ability and fairness tooling. • Experience with cost modeling and Fin Ops practices for AI workloads. When we put unexpected teams in the same room, we fuel ambitious thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Why AstraZeneca: Join a place where innovation meets large-scale impact, and where unexpected teams gather to spark ambitious thinking through challenge. You will work alongside deep specialists who connect across the business to turn sophisticated data into life-changing insights, advancing our transformation into a digital and data-led enterprise. We value patience alongside ambition, empower you to spot the right opportunities, and insist on doing things the right way to protect patients and earn trust—so your technical leadership not only improves, it makes a meaningful difference in the real world. Step into this pivotal role and shape the engineering standards that power AI at scale—apply today to build platforms and solutions that move the needle for patients and the business. Date Posted 25-Aug-2026 Closing Date 24-Sept-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: • Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code • Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems • Apply fundamental knowledge of programming languages for design specifications. • Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging • Serve as advisor or coach to new or lower level analysts • Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions • Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents • Has the ability to operate with a limited level of direct supervision. • Can exercise independence of judgement and autonomy. • Acts as SME to senior stakeholders and /or other team members. • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: • 4+ years of relevant experience in the Financial Service industry • Mandatory skills - Java, Angular (full stack) • Intermediate level experience in Applications Development role • Strong knowledge of Java/Python programming languages • Background in Data Engineering, Machine Learning, or Artificial Intelligence • Consistently demonstrates clear and concise written and verbal communication • Demonstrated problem-solving and decision-making skills • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: • Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.