? Conduct security assessments, vulnerability assessments, and penetration tests on systems and applications to identify weaknesses and recommend remediation actions. ? Monitor and analyze security alerts, events, and incidents to promptly detect and respond to threats. ? Manage and maintain security tools and technologies, such as firewalls, intrusion detection/prevention systems, and security information and event management (SIEM) systems. ? Proactively monitoring Key Risk Indicators to identify non-compliance and assist in remediation with compensating controls to address security, risk and control gaps. ? Seen as the cloud-security and cloud-compliance SME by the teams you support. ? Participate in incident response activities, including containment, investigation, and recovery, in the event of a security incident. ? Stay updated with cybersecurity threats, vulnerabilities, and industry best practices to ensure the organization remains secure. ? Ability to provide security guidance for physical, virtual, and code infrastructure. ? Provide vendor due diligence reviews, including SOC2 and vendor risk assessments. ? Drive change to improve the overall security posture. ? Ensure the protection of Organization information assets through the technical enforcement of organizational security standards and policies. ? Ensure technology risk impacting the business is effectively identified, quantified, communicated and managed, including recommendations for resolution and identifying the root cause. ? Serve as a point of escalation and subject matter expert for IT Risk and Cyber domains, including vulnerability management, data protection, cloud and application security. ? Collaborate with team members and stakeholders on firm-mandated audits and take responsibility in performing the required reviews associated with the audit. ? Review IAM control standards, objectives in regular basis and perform access reviews associated with it ? Be the trusted advisor to ensure security of designs and blueprints for application architectures and cloud platforms. ? Design and maintain automated workflows to streamline security operations. ? Establish solid relationships with other teams and provide advisement as needed. ? Build and cultivate a security focused culture through partnership and collaboration with the business and technology teams. What is the expectation from the candidate's current role/profile ? Expert understanding of common information security standards and best practices. Experience in Security and regulatory compliance standards and frameworks ? Configure, deploy, and manage enterprise security tools including such as log management (SIEM), antivirus, intrusion prevention, data leak prevention, and application scanning and remediation. ? Researches, analyzes, and formulates recommendations regarding technologies, products, and solutions to fulfill requirements within CACU. ? Solid understanding of system development life cycle (SDLC) and provide security recommendations and oversight. ? Azure Cloud security experience (Preferred 2 years). ? Minimum 3 to 4 years of experience in cloud security ? Hands on experience securing public cloud workloads in a hybrid, corporate environment. ? Security, risk, and compliance experience with Cloud Platforms. ? Knowledge of security controls, configuration management, and vulnerability management in public cloud. ? Solid understanding of firewalls, WAFs, Web Gateways, and IPS ? Excellent problem-solving and analytical skills with the ability to quickly isolate problems, collect data, establish facts, and draw valid conclusions. ? Practical understanding with Agile, ITIL, monitoring, and metrics
Bachelor's degree preferably in information security, computer science or other related field, or equivalent combination of education and/or experience from which comparable knowledge, skills and abilities have been achieved. 2 years experience in information technologies, or combined experience in security and IT technical work experience.Degrees or certifications may be considered in lieu of experience. Proven experience in developing, operating, and maintaining security systems. Good knowledge of operating system and database security. Familiarity with security systems including anti-virus applications, content filtering, firewalls, authentication systems, and intrusion detection and notification systems. In-depth knowledge of security protocols and principles. Excellent communication skills to coordinate and work with both US and India teams. Strong critical thinking skills and the ability to solve complex problems Experience working in an automation environment and a mindset geared towards automation.
Roles and Responsibilities Provide technical support to customers on Salesforce platform, ensuring timely resolution of issues and high levels of customer satisfaction. Troubleshoot complex salesforce queries, including data migration, configuration, and customization. Collaborate with cross-functional teams to resolve business requirements and implement solutions using Salesforce tools such as Apex, LWCs, and Flows. Develop expertise in various aspects of Salesforce ecosystem, including Lightning Web Components (LWC), Visualforce Pages, and Aura components. Participate in knowledge sharing sessions to document troubleshooting steps and best practices for future reference. Desired Candidate Profile 4-9 years of experience in Salesforce Support role with a strong understanding of Salesforce architecture and its applications. Proficiency in writing SOQL queries for querying Salesforce objects; ability to write efficient queries for large datasets. Strong hands-on experience working with Salesforces Lead object; familiarity with lead management processes is essential. Experience working on multiple projects simultaneously; excellent time management skills required.
DevOps Lead - Experience in GCP is must Experience Level - 7+ Years Notice Period - Immediate Joiner Work Location - Bangalore (Work From Office) Good communication skills Ready to relocate to Bangalore for work.
Job Description Design, develop, and maintain backend services using Flask and Django for integrating and deploying RAG-based LLM models. Develop RESTful APIs and data pipelines to interact with AI models and integrate them into client-facing applications. Build and maintain database models, manage large data sources, and optimize API endpoints for performance. Model Integration And Deployment Implement and integrate RAG-based LLM models into production environments using Flask and Django frameworks. Work closely with AI and data science teams to ensure proper data flow and retrieval between the model and backend systems. Optimize model performance for inference efficiency, memory management, and response time. Model Optimization And Fine-Tuning Fine-tune and optimize LLMs to meet specific business use cases, such as content generation, summarization, and question answering. Collaborate with machine learning engineers to improve accuracy, reduce inference times, and scale model usage. Monitor and debug model performance and address any issues related to latency or correctness in the model's output. Data Management & Analysis Handle large datasets and develop data pipelines to provide inputs for training and testing models. Ensure proper preprocessing of input data to enhance model performance. Write and optimize SQL/NoSQL queries for data extraction, transformation, and storage related to the models. Collaboration & Continuous Improvement Collaborate with cross-functional teams, including product managers, AI researchers, and front-end developers, to design solutions that meet business goals. Write unit and integration tests to ensure the quality of backend components. Follow Agile practices for development, including participating in sprint planning, stand-ups, and code reviews. Model Monitoring And Maintenance Implement monitoring systems to ensure model performance, and address any degradation or anomalies. Continuously discover and implement new techniques to improve the efficiency and reliability of the deployed models. Required Skills And Qualifications 3+ years of experience in Python development with expertise in Flask and Django. Strong understanding of AI/ML concepts and experience working with Retriever-Augmented Generation (RAG) models and LLMs (e., GPT, BERT, T5). Experience with model deployment and integration of AI models into backend applications. Proficiency in Python, including working with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and spaCy. Experience with developing RESTful APIs using Flask or Django REST Framework (DRF). SQL/NoSQL Database experience for managing and retrieving large datasets. Version control using Git for collaboration. Familiarity with deploying applications to cloud platforms (AWS, GCP, Azure). Strong problem-solving skills and ability to troubleshoot complex production issues. Preferred Skills Knowledge of CI/CD pipelines for deploying Python applications. Familiarity with Docker and Kubernetes for containerization and orchestration of model deployments. Experience with Natural Language Processing (NLP) and data preprocessing techniques. Knowledge of distributed computing for scaling AI models. Familiarity with tools like FastAPI for faster API development and deployment. Knowledge of AI performance monitoring and optimization techniques for large models in production. Exposure to marketing analytics, sentiment analysis, or content generation with LLMs. Educational Qualifications Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field. Master's degree in a relevant field is a plus
Job Description Responsible for competency skills management for own team, coaching and mentoring of team members to reach the required competency As resource manager responsible for setting of team KRA in line with departmental goals and objectives and their periodic performance evaluation. Responsible for capacity planning of team and ensuring effective development of resources for software project execution. Responsible for delivery of software products with required quality as per agreed timeline and budget in accordance with the development process. Responsible for detailed task planning for assigned projects/WPs considering interdependencies. Tracking and monitoring of status of projects/WPs and reporting of project and team updates to higher management Involvement in technical reviews, conflict management and risk mitigation to provide effective solutions. Support to acquisition projects and strengthen the customer relations. Candidate Profile Core competences in electronics, software, automotive-development Min 12 years working experience in Software Team Lead role Experience in personnel management Must have an automotive product knowledge Experience in software/hardware project management, change management and risk management Experience in AUTOSAR, ASPICE and model based development. Knowledge of requirements management and analysis, HW-SW-architecture design and test Being competent and confident in dealing with customers and cross functional teams within projects Must demonstrate a positive attitude and clear communication skills. Must be used to work in an international environment Strong interpersonal skills, accountability, transparency and extremely resourceful
As an Adobe Analytics Specialist, you will be responsible for implementing, configuring, and managing advanced analytics solutions across digital platforms. You will work with Adobe Experience Cloud technologies, driving insights through data collection, personalization, and reporting to optimize web performance and user experience. This role involves collaborating with cross-functional teams, including UX/UI designers and developers, to ensure seamless integration and meaningful analysis of digital interactions. Key Responsibilities Implement and manage Adobe Analytics, including the creation of Data Collection/DTM and Launch scripts to support data tracking. Work with Adobe Target implementation using Launch, designing and executing personalization strategies and A/B testing campaigns. Collaborate with UX/UI teams to ensure alignment between analytics data and user experience strategies. Develop custom reports, dashboards, and insights using Adobe Analytics to meet business requirements. Configure and manage analytics platforms such as Google Tag Manager, Google Analytics, Media Pixels, and Adobe Analytics for seamless tracking and reporting. Ensure proper data layer implementation and integration, leveraging JavaScript, HTML, CSS, and APIs for advanced tagging solutions. Debug and troubleshoot tagging and analytics-related issues, resolving problems independently. Scale up Adobe Experience Cloud technologies, leveraging tools like AEP, CJA, Report Builder, and APIs to enhance analytics capabilities. Stay updated with the latest analytics plugin updates, integrations, and browser compatibility solutions to ensure optimal performance. Support cross-functional teams by providing actionable insights to enhance digital marketing and website optimization efforts. Experience Qualifications & Skills : Minimum 5+ years of experience with Adobe Analytics, including Data Collection/DTM and Launch scripts. 3+ years of experience implementing Adobe Target using Launch, with a strong understanding of Adobe Experience Cloud technologies. Familiarity with UI/UX design principles, dynamic web development, website optimization, and personalization techniques. Advanced knowledge of JavaScript, HTML, CSS, Web Services/APIs, and data layer implementation. Adobe Ecosystem : Hands-on experience with tools such as AEP (Adobe Experience Platform), CJA (Customer Journey Analytics), and Report Builder. Proficiency in managing analytics solutions using Google Tag Manager, Google Analytics, and Media Pixels. Ability to troubleshoot and resolve tagging, plugin integration, and analytics-related problems independently. Soft Skills : Strong problem-solving capabilities, attention to detail, and the ability to work collaboratively with cross-functional teams. Preferred Attributes Certification in Adobe Analytics or Adobe Experience Cloud technologies. Experience working in an agile development environment. Knowledge of emerging analytics trends, tools, and techniques to drive innovation