Responsibilities Strategy & Planning: Develop, implement, and lead comprehensive verification plans for Complex Mix Signal IPs. Methodology: Design and maintain advanced test benches, scoreboards, and checkers using System Verilog and UVM. Technical Leadership: Mentor junior engineers, conduct code reviews, and drive verification closure to meet project milestones. Debug & Analysis: Perform RTL debug, gate-level simulations, and functional/code coverage analysis. Collaboration: Work with architects and design teams to identify, debug, and resolve issues, including post-silicon failures. Formal Verification: Utilize formal methods (e.g., model checking) to verify complex, hard-to-reach corner cases. Qualification & ExperienceExperience: 11-15 years of, or equivalent, experience in ASIC/SoC verification. Languages & Methodologies: Expert-level knowledge of System Verilog, UVM, and Verilog. Protocols: Proficiency in standard protocols like JTAG/IJTAG/CRI/APB and multi clock domain Mix signal designs. Tools: Hands-on experience with industry-standard EDA tools (Synopsys VCS, Cadence Xcelium/JasperGold, Mentor Questa). Scripting: Strong scripting skills (Python, Perl, Tcl) for testbench automation. Education: B.E/B.Tech or M.E/M.Tech/MS in Electronics/VLSI Engineering. Domain Knowledge: Expertise Mix signal Sensor IP verification.

ResponsibilitiesAssist in implementing and maintaining monitoring and alerting systems using native cloud monitoring services (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations). Respond and remediate operational issues impacting performance or availability. Configure Prometheus to scrape and store metrics from cloud resources. Develop dashboards and alerts in Grafana to enable proactive incident detection. Collaborate with teams to identify key reliability and performance indicators. Support incident response by tuning alert thresholds and helping diagnose alerts. Participate in documenting monitoring procedures and best practices. Learn and apply SRE principles focused on reliability, scalability, and automation. Qualification & Experience  Currently pursuing or recently completed a degree in Computer Science, Engineering, or related field. Basic understanding of cloud computing concepts (AWS, Azure, or GCP). Familiarity with monitoring and observability tools like Prometheus and Grafana is a plus. Knowledge of scripting or programming languages (e.g., Python, Bash) is desirable. Strong problem-solving skills and eagerness to learn. Good communication skills and ability to work collaboratively.

ResponsibilitiesDefine and implement cloud security architecture frameworks, principles, and guidelines to secure enterprise cloud environments and workloads. Collaborate with cross-functional teams to ensure security maturity initiatives are prioritized effectively and addressed in a timely and sustainable manner. Partner with cloud security architects, developers, and engineers to design scalable solutions addressing complex infrastructure-related security challenges. Design, build proof of concept, tools, and platforms to proactively address and resolve security issues at scale. Conduct architecture reviews, security assessments, threat modeling, and risk analysis of cloud-native services and infrastructure. Establish secure reference architectures, reusable cloud security patterns, standards, and best practices to ensure consistency in cloud deployments at scale. Lead efforts related to strategic planning and continuous improvement of cloud security capabilities, including public cloud native security products and third-party cloud security tools. Partner with incident response teams and SOC analysts to ensure effective processes and technology are in place to quickly detect, investigate, and mitigate cloud security incidents.Qualification & Experience  Bachelor’s or Master’s degree in computer science, Information Technology, or related fields. 15+ Years of experience securing complex on-prem or cloud deployments with a minimum of 6+ years of dedicated experience in cloud security architecture and design, including significant experience across AWS, GCP, and/or Azure environments. Deep technical understanding of core cloud service models, including compute, network, and storage technologies on AWS, GCP, and/or Azure platforms. Proficiency in at least one programming language or scripting language such as Python, Go, or Java for automating and managing security tools and processes. Extensive working experience with containerized applications (Kubernetes, Docker), CI/CD pipelines, and microservices architectures. 5+ years of experience with IAC (Infrastructure as a Code) deployments for complex systems [Terraform, Ansible etc] Demonstrated expertise in articulating complex technical issues clearly to both security specialists and non-technical stakeholders. Additional skills Effective communication skills, both written and verbal, with the ability to convey complex information clearly to technical and non-technical audiences. Strong analytical and problem-solving skills, with the ability to lead cross-functional collaborations and drive technical security initiatives. Ability to quickly learn, adapt, and lead in fast-paced and dynamic technical environments.

Qualification & Experience  2+ year of experience in Development in JAVA technology.Strong Java Basics Spring Boot or Spring MVC Hands on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing) Proficient in REST API development Microservices Any Caching Mechanism Good at problem solving Good to Have Skills: 2+ years of experience in using Java/J2EE tech stacks Good understanding of data structures and algorithms. Excellent analytical and problem solving skills. Ability to work in a fast paced internet start-up environment. Experience in technical mentorship/coaching is highly desirable. Understanding of AI/ML algorithms is a plus.

Responsibilities: Develop and maintain web applications using the MERN stack Collaborate with cross-functional teams to translate user requirements into scalable software solutions Write clean, efficient, and maintainable code Conduct code reviews and provide constructive feedback to team members Optimize applications for maximum speed and scalability. Implement security and data protection measures. Stay up-to-date with the latest trends and best practices in web development. Qualification & Experience  Bachelor's degree in Computer Science, Engineering, or related field 2 to 3.5 years of experience working with the MERN stack Proficiency in JavaScript, HTML, CSS, and related web technologies Experience with frontend libraries/frameworks such as React.js Experience with backend frameworks such as Express.js and Node.js Strong understanding of MongoDB and NoSQL databases Familiarity with version control systems such as Git Excellent problem-solving and debugging.  

Qualification & Experience  Proficiency in Graphics and Graphic Design toolsAbility to create logos and build brand designs Skilled in image editing with attention to detail Basic understanding of design principles and problem-solving Familiar with tools like Adobe Photoshop, Illustrator, or similar Good communication and teamwork skills Degree or training in Design, Visual Arts, or a related field is a plus Creative mindset with a willingness to learn and grow Able to use AI tools to improve design work

ResponsibilitiesDevelop and maintain scalable web applications using Angular (v17+ / v18 preferred) Leverage modern Angular features such as Standalone Components, Signals, Deferrable Views, and Zoneless Change Detection Convert design prototypes and wireframes into high-quality, pixel-perfect implementations Build reusable, modular, and maintainable components following best coding practices Implement responsive and adaptive UI designs across devices and browsers Integrate data visualization using libraries such as Highcharts, Chart.js, or D3.js Collaborate with overseas clients and cross-functional teams (design, backend, product) Maintain clear technical documentation and provide regular progress updatesQualification & Experience  4–6 years of experience in frontend development Strong hands-on expertise in Angular (v17+ preferred) Proficiency in TypeScript, JavaScript, HTML5, and CSS3 Experience with modern Angular architecture and performance optimization techniques Strong understanding of responsive design and cross-browser compatibility Experience integrating REST APIs and handling asynchronous data flows Familiarity with frontend build tools and package managers (Webpack, npm, etc.) Experience with version control systems such as Git Experience with advanced Angular concepts (state management, lazy loading, performance tuning)Familiarity with UI/UX design principles and tools (Figma, Adobe XD, etc.) Experience working with global or distributed teams Exposure to testing frameworks (Jasmine, Karma, Cypress, etc.)

ResponsibilitiesAI/ML & GenAI Architecture Design end-to-end AI architectures for use cases such as semantic search, recommendation systems, conversational AI, forecasting, and intelligent automation Architect and implement RAG-based systems using LLMs, embedding models, vector databases, and orchestration frameworks Define design patterns for multi-agent systems, tool-augmented LLMs, and agentic workflows Model Development & Optimization Develop, fine-tune, and evaluate ML/DL models for classification, regression, ranking, and recommendation use cases Optimize LLM pipelines for latency, cost, and accuracy through prompt engineering, caching, and retrieval strategies Implement evaluation frameworks for LLM outputs (hallucination detection, grounding, relevance scoring) Data Engineering & Pipelines Build scalable data pipelines using PySpark, Spark, or distributed systems Design feature engineering and data preprocessing workflows for structured and unstructured data Work with real-time and batch data processing systems (Kafka, streaming frameworks) Search & NLP Systems Design hybrid search systems combining lexical (BM25, Elasticsearch/OpenSearch) and semantic (embeddings, ANN) approaches Build NLP pipelines for entity extraction, summarization, classification, and Q&A systems Deployment & MLOps Build and deploy APIs for model serving using FastAPI, Flask, or similar frameworks Implement CI/CD pipelines for ML systems, including versioning, monitoring, and rollback strategies Deploy models using Docker, Kubernetes, and cloud-native services Monitor model performance, drift, and system health in production Cloud & Platform Engineering Architect AI systems on AWS, GCP, or Azure using services such as SageMaker, Bedrock, and Vertex AI Design scalable, fault-tolerant, and cost-efficient cloud architectures Leverage managed vector databases and data lake architectures Collaboration & Leadership Translate business problems into scalable AI solutions and technical designs Collaborate with product, engineering, and data teams to deliver production-ready systems Mentor engineers and establish best practices for AI/ML engineering and architecture Qualification & Experience  Core Programming & Engineering Strong proficiency in Python (advanced OOP, async programming, performance optimization) Experience building production-grade backend systems and APIs Machine Learning & Deep Learning Hands-on experience with PyTorch, TensorFlow, or Scikit-learn Strong understanding of supervised/unsupervised learning, evaluation metrics, feature engineering, and model tuning Generative AI & LLMs Experience with OpenAI, Anthropic, or open-source LLMs (LLaMA, Mistral, etc.) Strong expertise in prompt engineering, RAG pipelines, and embedding models Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus) Search & Retrieval Experience with Elasticsearch/OpenSearch Understanding of hybrid retrieval and ranking strategies Data & Distributed Systems Strong experience with NumPy, Pandas, and PySpark Experience handling large-scale datasets and distributed processing MLOps & Deployment Experience with FastAPI/Flask for model serving Hands-on experience with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins, etc.) Familiarity with model monitoring, logging, and observability Cloud Platforms Hands-on experience with AWS, GCP, or Azure Understanding of cloud-native AI/ML services and infrastructure Qualifications Bachelor’s or master’s degree in computer science, AI, or related field. Good to Have: Experience with LangChain, LangGraph, Dify, LlamaIndex, or similar frameworks Experience designing multi-agent or autonomous AI systems Knowledge of graph databases (Neo4j) and knowledge graphs Experience with streaming systems (Kafka, Flink) Exposure to Computer Vision, Time-Series Forecasting, or Reinforcement Learning Experience in cost optimization and scaling GenAI systems in production

Responsibilities• Facilitate Scrum ceremonies across Workday or FIS or Bloomberg BA delivery teams: sprint planning, daily standups, refinement, demos, and retrospectives. • Partner with Product Owners to maintain a clean, prioritized backlog with clear acceptance criteria and Definitions of Ready/Done. • Track progress, risks, dependencies, and delivery metrics (e.g., throughput, sprint predictability); drive continuous improvement with data. • Remove impediments and coordinate across teams and functions (business, Workday or FIS or Bloomberg BA Admin/Dev, QA, security, data/integrations, and change management). • Ensure user stories include acceptance criteria, test approach, and early identification of dependencies (integration touchpoints, data needs, access/security reviews). • Support operational excellence: triage production issues, coordinate incident response, manage prioritization of defects vs. features, and improve support workflows. • Support release execution: UAT readiness, sandbox/environment planning, deployment/change coordination, release notes, and post-release validation/follow-up. Qualification & Experience  • 7+ years of experience as a Scrum Master (or Agile Delivery Lead) on software/product teams. • Demonstrated success delivering complex work across multiple stakeholders and competing priorities. • Experience supporting Workday or FIS or Bloomberg BA delivery (partnering directly with Workday or FIS or Bloomberg BA Admins/Developers and understanding Workday or FIS or Bloomberg BA release/ deployment concepts). • Strong facilitation skills: you run meetings that produce decisions, accountability, and momentum. • Strong written communication (clear status, crisp risks, actionable next steps). • Familiarity with Agile tooling (Jira and/or Azure DevOps, Confluence) and using dashboards to keep stakeholders aligned. • Scrum certification (CSM/PSM I) or equivalent practical experience.• Workday or FIS or Bloomberg BA Administration experience (hands-on): understanding of objects, fields, Flows, validation rules, record types, permission sets, queues, sharing model, and reports/ dashboards. • Workday or FIS or Bloomberg BA certifications such as Workday or FIS or Bloomberg BA Certified Administrator, Platform App Builder, Sales Cloud, and/or Service Cloud.

Responsibilities Lead and participate in Privacy Technology projects, collaborating with cross-functional teams to implement privacy-enhancing technologies. Analyze business requirements and translate them into technical solutions that support privacy goals. Interface with internal and external clients, as well as stakeholders as a Privacy Technology subject matter expert. Design, develop, and maintain database solutions that enable effective privacy management and data protection. Prepare and deliver compelling presentations to stakeholders, clearly communicating complex technical concepts and project updates. Produce high-quality written documentation, including technical specifications, project reports, and privacy impact assessments. Conduct data analysis to identify privacy risks and opportunities for improvement. Qualification & ExperiencePrior experience working on Privacy Technology projects, with demonstrable impact and results. Strong understanding of database technologies, including relational and/or big data datastores, and their role in privacy management. Self-motivated and able to work independently with minimal supervision. Excellent writing skills, with the ability to produce clear and concise documentation for technical and non-technical audiences. Excellent presentation skills, with experience delivering to diverse audiences. Good data analysis skills, with proficiency in relevant tools and methodologies. Preferred Skills Experience with privacy compliance frameworks (e.g., GDPR, CCPA). Knowledge of privacy-preserving technologies such as data masking, encryption, and anonymization. Ability to work collaboratively in a fast-paced, global environment.