Role purpose Are you passionate about technology and ready to build a strong foundation in IT and Information Security? We're looking for a highly motivated and capable Junior Systems Engineer to join our dynamic IT & Infosec team! As a Junior Systems Engineer, you'll be at the heart of our technology operations—working on real-world challenges that impact system performance, security, and compliance. You’ll gain hands-on experience with: System availability and uptime monitoring Security best practices and system hardening Patch management and compliance support IT asset management and vendor coordination You’ll collaborate closely with our experienced InfoSec team and grow your skills in a fast-paced, supportive environment. If you're driven, detail-oriented, and excited to develop a career in IT and cybersecurity, we’d love to hear from you! Key accountabilities System Administration & Support Provide daily support for user systems, servers, and applications Administer and monitor Windows & Linux systems Handle system performance checks and incident resolution Manage user accounts and permissions (Active Directory) Patch & Vulnerability Management Collaborate with InfoSec to fix vulnerabilities Monitor reports and assist in remediation Track and document patch compliance System Hardening & Security Apply secure configurations to systems and devices Ensure antivirus, endpoint protection, and firewalls are in place Support secure access and disposal practices Monitoring & Logging Monitor logs and alerts for health, security, and performance Set up and maintain system logging Analyze logs for incident detection and root cause analysis Network & Infrastructure Management Assist in troubleshooting network issues (IP, DNS, DHCP, VPN) Support LAN/WAN, firewall, switch, and VPN management Ensure connectivity uptime and performance Lifecycle & Inventory Management • Manage hardware/software lifecycle from setup to disposal Maintain inventory of assets, licenses, and warranties Track support cases and coordinate with vendors Vendor & Contract Management • Liaise with vendors for support, licensing, and escalations Oversee third-party service coordination and secure disposals Documentation & Compliance • Keep system documentation updated (configs, procedures, architecture) Support audits and compliance efforts (ISO 27001, SOC 2, etc.) Process Improvement & Collaboration • Contribute to automation and security improvements Work with DevOps, InfoSec, and other teams on compliance and tech needs Skills and Experience Microsoft Certified: Microsoft 365 Administrator or similar CompTIA Security+, Network+, Server+ Red Hat Certified System Administrator (RHCSA) or RHCE ITIL Foundation Certification Knowledge of ISO 27001, SOC 2, NIST, or other security standards Solid knowledge in both Windows and Linux operating systems Basic Knowledge in PowerShell, Bash, or other scripting languages is a plus Familiarity with networking fundamentals and system security practices Exposure to IT ticketing systems and asset management tools (e.g., Snipe-IT) Strong analytical and problem-solving skills with attention to detail Ability to handle multiple tasks in a fast-paced and security-driven environment Education • Bachelor’s degree in computer science, Information Technology, or any degree.
We're looking for a strategic thinker and hands-on leader to drive the security vision for our Security DataFabric and Exposure Management products. In this key role, you'll be at the forefront of designing, building, and owning the security architecture that powers our next-generation platforms across multiple cloud environments. You’ll work side by side with Engineering, Product, and DevOps teams to weave security into every stage of the software development lifecycle (SDLC) — from idea to deployment and beyond. You’ll play a critical role in ensuring our infrastructure not only meets, but exceeds, industry standards and regulatory requirements, all while enabling innovation at speed. Key accountabilities Security Architecture Design & Strategy : Lead the design and implementation of secure, scalable security architectures for our products and infrastructure, on AWS and Azure. Develop and maintain cloud security blueprints, reference architectures and security patterns. Collaborate with engineering, product and DevOps teams to create secure-by-design solutions for existing and new products. Define and promote security best practices for our product and cloud deployments, including secure configuration, network segmentation, identity and access management (IAM), data protection and logging/monitoring. Evaluate and suggest new security technologies and solutions to improve our cloud security posture. Identify gaps and find ways to address them. Security Integration & SDLC: Collaborate closely with product management, engineering and DevOps teams to integrate security into every phase of the SDLC (Secure-by-Design and Shift-Left principles). Perform threat modelling and security architecture reviews for critical systems. Define and enforce security requirements and best practices throughout the software development lifecycle (SDLC). Lead secure design reviews and collaborate on application risk assessments. Drive the implementation of DevSecOps practices, including automated security testing, secrets management and infrastructure as code (IaC) security scanning. Act as a subject matter expert for security-related queries from development and operations teams. Risk Management & Compliance: Identify, assess and prioritize security risks related to cloud deployments and product features. Develop and implement strategies and controls to reduce risks. Ensure compliance with relevant industry standards and regulations (ISO27001:2022, SOC2, CSTAR, and GDPR). Maintain and enhance the organization's compliance frameworks and security posture in accordance with standards like ISO27001:2022, SOC2, and CSTAR. Participate in security audits and provide evidence of controls. Engage with customers to communicate our alignment with best practices and identify gaps. Collaborate with client delivery teams on security assessments and compliance requirements. Incident Response: Support the development and refinement of incident response plans tailored for cloud environments. Own security incidents and collaborate with IT and DevOps teams to respond and close such incidents. Contribute to product security policies, standards, and incident response procedures. Security Awareness & Training: Champion security awareness across the organization, providing training and guidance to engineering and product teams on security best practices. Serve as a security SME for internal teams and external stakeholders. Mentor junior security professionals and contribute to the growth of our security team. Mentor engineers on secure coding and architecture principles. Vendor Management Identify vendors to drive Pen Test/Security Audits. Work with management to secure the necessary budget. Skills and Experience Significant xperience in cybersecurity, with at least 3 years in product or application security architecture. Strong understanding of modern application architectures (e.g., con tainerization). Deep knowledge of OWASP Top 10, secure coding practices, threat modelling (STRIDE, PASTA, etc.). Good understanding of securing UI/API/data on cloud platforms (AWS / Azure) Preferred qualifications include: Relevant certifications such as CISSP, CCSP, CCSK, AWS Certified Security and Azure security engineer certifications. Exposure to privacy, compliance (e.g., GDPR, SOC2), and secure data architecture Good knowledge of ISO27001:2022, SOC2 and CSTAR Understandin of offensive security. Education Bachelor’s/ Master’s Degree in Computer Science Engineering Certifications such as CISSP, GSEC, CEH or CISM desired
We're looking for a strategic thinker and hands-on leader to drive the security vision for our Security DataFabric and Exposure Management products. In this key role, you'll be at the forefront of designing, building, and owning the security architecture that powers our next-generation platforms across multiple cloud environments. You’ll work side by side with Engineering, Product, and DevOps teams to weave security into every stage of the software development lifecycle (SDLC) — from idea to deployment and beyond. You’ll play a critical role in ensuring our infrastructure not only meets, but exceeds, industry standards and regulatory requirements, all while enabling innovation at speed. Key accountabilities Security Architecture Design & Strategy : Lead the design and implementation of secure, scalable security architectures for our products and infrastructure, on AWS and Azure. Develop and maintain cloud security blueprints, reference architectures and security patterns. Collaborate with engineering, product and DevOps teams to create secure-by-design solutions for existing and new products. Define and promote security best practices for our product and cloud deployments, including secure configuration, network segmentation, identity and access management (IAM), data protection and logging/monitoring. Evaluate and suggest new security technologies and solutions to improve our cloud security posture. Identify gaps and find ways to address them. Security Integration & SDLC: Collaborate closely with product management, engineering and DevOps teams to integrate security into every phase of the SDLC (Secure-by-Design and Shift-Left principles). Perform threat modelling and security architecture reviews for critical systems. Define and enforce security requirements and best practices throughout the software development lifecycle (SDLC). Lead secure design reviews and collaborate on application risk assessments. Drive the implementation of DevSecOps practices, including automated security testing, secrets management and infrastructure as code (IaC) security scanning. Act as a subject matter expert for security-related queries from development and operations teams. Risk Management & Compliance: Identify, assess and prioritize security risks related to cloud deployments and product features. Develop and implement strategies and controls to reduce risks. Ensure compliance with relevant industry standards and regulations (ISO27001:2022, SOC2, CSTAR, and GDPR). Maintain and enhance the organization's compliance frameworks and security posture in accordance with standards like ISO27001:2022, SOC2, and CSTAR. Participate in security audits and provide evidence of controls. Engage with customers to communicate our alignment with best practices and identify gaps. Collaborate with client delivery teams on security assessments and compliance requirements. Incident Response: Support the development and refinement of incident response plans tailored for cloud environments. Own security incidents and collaborate with IT and DevOps teams to respond and close such incidents. Contribute to product security policies, standards, and incident response procedures. Security Awareness & Training: Champion security awareness across the organization, providing training and guidance to engineering and product teams on security best practices. Serve as a security SME for internal teams and external stakeholders. Mentor junior security professionals and contribute to the growth of our security team. Mentor engineers on secure coding and architecture principles. Vendor Management Identify vendors to drive Pen Test/Security Audits. Work with management to secure the necessary budget. Skills and Experience Significant xperience in cybersecurity, with at least 3 years in product or application security architecture. Strong understanding of modern application architectures (e.g., con tainerization). Deep knowledge of OWASP Top 10, secure coding practices, threat modelling (STRIDE, PASTA, etc.). Good understanding of securing UI/API/data on cloud platforms (AWS / Azure) Preferred qualifications include: Relevant certifications such as CISSP, CCSP, CCSK, AWS Certified Security and Azure security engineer certifications. Exposure to privacy, compliance (e.g., GDPR, SOC2), and secure data architecture Good knowledge of ISO27001:2022, SOC2 and CSTAR Understandin of offensive security. Education Bachelor’s/ Master’s Degree in Computer Science Engineering Certifications such as CISSP, GSEC, CEH or CISM desired
Role purpose Are you passionate about cutting-edge technology and big data? At Prevalent AI, we're at the forefront of building innovative solutions to handle petabyte-scale data. As a Data Engineer, you will play a pivotal role in supporting the development of key data engineering components for our Data Fabric and Exposure Management products. In this exciting role, you’ll work with open-source big data technologies to help us collect, transport, transform, and ingest massive amounts of data in a distributed architecture. If you thrive in an environment that encourages continuous learning, embraces modern technology, and values the power of data, this is the perfect opportunity for you. Key accountabilities The ideal candidate would be a self-motivated individual with strong technology skills, commitment to quality and positive work ethic, who can Design, develop, and deploy data management modules, including data ingestion, parsing, scheduling, and processing, using agile practices Conduct unit, system, and integration testing of developed modules, ensuring high-quality data solutions Select and integrate Big Data tools and frameworks to meet capability requirements Collaborate with client and partner teams to deliver effective data solutions and resolve operational issues promptly Stay updated on industry trends and best practices in Data Engineering and Open-Source Big Data technologies Contribute to agile teamwork and follow a personal education plan for technology stack and solution architecture Build processes for data transformation, structures, metadata, and workload management Skills and Experience Relevant experience in data engineering with open-source big data tools (Hadoop, Spark, Kafka) and NoSQL databases (Postgres, MongoDB, Elastic) Skilled in data pipeline management (e.g., Airflow), AWS services (EC2, EMR, RDS), and stream processing (e.g., Spark-Streaming) Proficient in object-oriented and functional programming languages (Python, Java, Scala), and data lake concepts (ingestion, transformation). Strong understanding of Hadoop and Spark frameworks, Agile methodology, and scalable big data architectures Excellent communication, with a self-motivated and analytical mindset for fast-paced environments Experience working with cross-functional teams to optimize big data pipelines and solutions Education Master’s/Bachelor’s in Computer Science Engineering.
We're looking for a strategic thinker and hands-on leader to drive the security vision for our Security DataFabric and Exposure Management products. In this key role, you'll be at the forefront of designing, building, and owning the security architecture that powers our next-generation platforms across multiple cloud environments. You’ll work side by side with Engineering, Product, and DevOps teams to weave security into every stage of the software development lifecycle (SDLC) — from idea to deployment and beyond. You’ll play a critical role in ensuring our infrastructure not only meets, but exceeds, industry standards and regulatory requirements, all while enabling innovation at speed. Key accountabilities Security Architecture Design & Strategy : Lead the design and implementation of secure, scalable security architectures for our products and infrastructure, on AWS and Azure. Develop and maintain cloud security blueprints, reference architectures and security patterns. Collaborate with engineering, product and DevOps teams to create secure-by-design solutions for existing and new products. Define and promote security best practices for our product and cloud deployments, including secure configuration, network segmentation, identity and access management (IAM), data protection and logging/monitoring. Evaluate and suggest new security technologies and solutions to improve our cloud security posture. Identify gaps and find ways to address them. Security Integration & SDLC: Collaborate closely with product management, engineering and DevOps teams to integrate security into every phase of the SDLC (Secure-by-Design and Shift-Left principles). Perform threat modelling and security architecture reviews for critical systems. Define and enforce security requirements and best practices throughout the software development lifecycle (SDLC). Lead secure design reviews and collaborate on application risk assessments. Drive the implementation of DevSecOps practices, including automated security testing, secrets management and infrastructure as code (IaC) security scanning. Act as a subject matter expert for security-related queries from development and operations teams. Risk Management & Compliance: Identify, assess and prioritize security risks related to cloud deployments and product features. Develop and implement strategies and controls to reduce risks. Ensure compliance with relevant industry standards and regulations (ISO27001:2022, SOC2, CSTAR, and GDPR). Maintain and enhance the organization's compliance frameworks and security posture in accordance with standards like ISO27001:2022, SOC2, and CSTAR. Participate in security audits and provide evidence of controls. Engage with customers to communicate our alignment with best practices and identify gaps. Collaborate with client delivery teams on security assessments and compliance requirements. Incident Response: Support the development and refinement of incident response plans tailored for cloud environments. Own security incidents and collaborate with IT and DevOps teams to respond and close such incidents. Contribute to product security policies, standards, and incident response procedures. Security Awareness & Training: Champion security awareness across the organization, providing training and guidance to engineering and product teams on security best practices. Serve as a security SME for internal teams and external stakeholders. Mentor junior security professionals and contribute to the growth of our security team. Mentor engineers on secure coding and architecture principles. Vendor Management Identify vendors to drive Pen Test/Security Audits. Work with management to secure the necessary budget. Skills and Experience Significant xperience in cybersecurity, with at least 3 years in product or application security architecture. Strong understanding of modern application architectures (e.g., containerization). Deep knowledge of OWASP Top 10, secure coding practices, threat modelling (STRIDE, PASTA, etc.). Good understanding of securing UI/API/data on cloud platforms (AWS/Azure) Preferred qualifications include: Relevant certifications such as CISSP, CCSP, CCSK, AWS Certified Security and Azure security engineer certifications. Exposure to privacy, compliance (e.g., GDPR, SOC2), and secure data architecture Good knowledge of ISO27001:2022, SOC2 and CSTAR Understandin of offensive security. Education Bachelor’s/ Master’s Degree in Computer Science Engineering Certifications such as CISSP, GSEC, CEH or CISM desired
As a Security Architect at Prevalent AI located in Kakkanad, Kerala, you will be responsible for designing and implementing effective security measures to safeguard the organization's information systems and sensitive data. Your role will be crucial in collaborating closely with IT teams to develop comprehensive security strategies, perform risk assessments, and ensure data integrity protection. **Key Responsibilities:** - Design and implement effective security measures - Collaborate with IT teams to develop comprehensive security strategies - Perform risk assessments to identify potential security threats - Ensure the protection of data integrity - Stay updated with the latest cybersecurity trends and technologies **Qualifications Required:** - Minimum age of 18 years - Basic computer skills - Physically and mentally healthy - Experience in the related field (Preferred) - Minimum education of High School Diploma - Able to work effectively in a team environment - Good communication skills - No criminal record - Willing to be placed in the designated work location In addition to the above responsibilities and qualifications, Prevalent AI offers a range of benefits including access to the latest technology, recognition and performance awards, professional training, collaborative work environment, professional networking opportunities, skill development, work-life balance, valuable work experience, opportunities for promotion, and opportunities to contribute to business growth. If you are passionate about securing digital assets and enhancing security frameworks, we encourage you to apply for this exciting opportunity at Prevalent AI in Kakkanad, Kerala.,
Role purpose At Prevalent AI, we’re helping organizations see cyber risk differently, using intelligent data and contextual insights to reveal what truly matters and guide smarter, faster decisions. In this pivotal role, you’ll bridge strategy and execution — transforming customer needs and enterprise goals into clear, actionable outcomes. You’ll drive focus and momentum across every product milestone, ensuring each release delivers measurable value. You’ll own backlog clarity, champion effective communication, and lead value-driven delivery — fostering alignment and collaboration across Product, Client Solutions, and Engineering teams. If you’re passionate about cybersecurity analytics, data-driven decision-making, and thrive in a fast-paced, collaborative environment, we’d love for you to help shape the next generation of our cutting-edge products. Key accountabilities Collaborate with the Product Manager to shape and communicate a clear product vision and roadmap aligned wit h client needs and strategic goals . Translate product vision into measurable goals and KPIs, ensuring focused outcomes . Manage and refine the product backlog, maintaining clarity, focus and alignment across business and technical stakeholders. D efine user stories and acceptance criteria with cross-functional input . Prioritize features and initiatives that maximize client impact while balancing feasibility, innovation, and strategic direction. Serve as the primary liaison between stakeholders and the development team , facilitating open communication and timely decision-making. Champion the customer voice ensuring every feature contributes to meaningful, measurable results for users. Support Agile delivery, providing real-time feedback, clarifying priorities and ensuring continuous progress through sprints. Coordinate release readiness and collaborate with QA and delivery teams to ensure smooth product launches. Track performance metrics, gather post-release feedback and drive data-informed iterations for continuous improvement. Skills and Experience Demonstrated expertise in product ownership, with a focus on managing backlog, defining features and ensuring successful delivery Excellent prioritization skills to ensure delivery of high-impact features . Effective collaborator across engineering, sales, marketing and client-facing teams . Excellent communicator , capable of simplifying complexity and building trust across technical and non-technical stakeholders. Solid understanding of Agile methodologies and the full product development lifecycle . Proficiency in tools such as Jira, Confluence, or similar project management tools . Analytical mindset with an ability to connect client feedback, product metrics, and business goals. Familiarity with cybersecurity concepts, data platforms, or AI-driven analytics is highly desirable. Strong problem-solving skills with a track record of resolving competing priorities and delivery challenges . Passionate about learning and innovation, with curiosity for emerging technologies. Company Profile Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark , Cochin , Kerala. For more information, please visit https://www.prevalent.ai
Role purpose At Prevalent AI, we’re helping organizations see cyber risk differently, using intelligent data and contextual insights to reveal what truly matters and guide smarter, faster decisions. In this pivotal role, you’ll bridge strategy and execution — transforming customer needs and enterprise goals into clear, actionable outcomes. You’ll drive focus and momentum across every product milestone, ensuring each release delivers measurable value. You’ll own backlog clarity, champion effective communication, and lead value-driven delivery — fostering alignment and collaboration across Product, Client Solutions, and Engineering teams. If you’re passionate about cybersecurity analytics, data-driven decision-making, and thrive in a fast-paced, collaborative environment, we’d love for you to help shape the next generation of our cutting-edge products. Key accountabilities Collaborate with the Product Manager to shape and communicate a clear product vision and roadmap aligned wit h client needs and strategic goals . Translate product vision into measurable goals and KPIs, ensuring focused outcomes . Manage and refine the product backlog, maintaining clarity, focus and alignment across business and technical stakeholders. D efine user stories and acceptance criteria with cross-functional input . Prioritize features and initiatives that maximize client impact while balancing feasibility, innovation, and strategic direction. Serve as the primary liaison between stakeholders and the development team , facilitating open communication and timely decision-making. Champion the customer voice ensuring every feature contributes to meaningful, measurable results for users. Support Agile delivery, providing real-time feedback, clarifying priorities and ensuring continuous progress through sprints. Coordinate release readiness and collaborate with QA and delivery teams to ensure smooth product launches. Track performance metrics, gather post-release feedback and drive data-informed iterations for continuous improvement. Skills and Experience Demonstrated expertise in product ownership, with a focus on managing backlog, defining features and ensuring successful delivery Excellent prioritization skills to ensure delivery of high-impact features . Effective collaborator across engineering, sales, marketing and client-facing teams . Excellent communicator , capable of simplifying complexity and building trust across technical and non-technical stakeholders. Solid understanding of Agile methodologies and the full product development lifecycle . Proficiency in tools such as Jira, Confluence, or similar project management tools . Analytical mindset with an ability to connect client feedback, product metrics, and business goals. Familiarity with cybersecurity concepts, data platforms, or AI-driven analytics is highly desirable. Strong problem-solving skills with a track record of resolving competing priorities and delivery challenges . Passionate about learning and innovation, with curiosity for emerging technologies. Company Profile Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark , Cochin , Kerala. For more information, please visit https://www.prevalent.ai
Role purpose Are you passionate about transforming complex technology into real-world client success stories? As a Delivery Lead, you’ll be at the centre of this transformation. We’re looking for someone who thrives on leading high-impact client engagements, leading multi-disciplinary teams to turn innovative solutions into measurable outcomes across regions. In this role, you’ll work closely with our Services Director and an experienced Services team to ensure we meet and exceed our commitments to clients. You’ll be at the heart of the action, driving delivery from initial planning to final handover across multiple client engagements. You’ll lead cross-functional teams, collaborate with Product Development, and ensure everything runs smoothly and efficiently – all while keeping a close eye on timelines, quality, and client satisfaction. Key accountabilities Collaborate with internal stakeholders, providing client insights, to develop and execute client delivery roadmaps, ensuring high-quality output and resolution of escalated issues, driving continuous improvement based on client feedback Lead cross-functional teams, managing client expectations and ensuring effective technical and functional delivery in line with governance Drive agile governance, retrospectives, and continuous improvement initiatives. Lead planning and delivery of multiple client projects, ensuring smooth execution and measurable impact. Implement business management processes, status reporting, and ensure timely identification and resolution of delivery challenges Work with Services Director and People team on capacity planning, people development, operational excellence and stakeholder communication for effective project delivery across engagements. Build strong client partnerships, managing expectations, risks, and communications. Skills and Experience Strong problem-solving, strategic thinking and decision-making skills with a proactive mindset Excellent communication, bridging business and technical contexts Proven experience leading cross-functional teams and client stakeholders Skilled in Agile planning, execution and continuous improvement (Jira, Confluence) Experienced in handling competing priorities, multiple client expectations and SLA commitments Analytical mindset with a knack for connecting client needs to business outcomes Knowledge of technology delivery frameworks, cloud/data platforms and cybersecurity is preferred Strong client engagement skills, using feedback to drive product and process improvement
Role purpose At Prevalent AI, we’re helping organizations see cyber risk differently, using intelligent data and contextual insights to reveal what truly matters and guide smarter, faster decisions. In this pivotal role, you’ll bridge strategy and execution — transforming customer needs and enterprise goals into clear, actionable outcomes. You’ll drive focus and momentum across every product milestone, ensuring each release delivers measurable value. You’ll own backlog clarity, champion effective communication, and lead value-driven delivery — fostering alignment and collaboration across Product, Client Solutions, and Engineering teams. If you’re passionate about cybersecurity analytics, data-driven decision-making, and thrive in a fast-paced, collaborative environment, we’d love for you to help shape the next generation of our cutting-edge products. Key accountabilities Collaborate with the Product Manager to shape and communicate a clear product vision and roadmap aligned wit h client needs and strategic goals . Translate product vision into measurable goals and KPIs, ensuring focused outcomes . Manage and refine the product backlog, maintaining clarity, focus and alignment across business and technical stakeholders. D efine user stories and acceptance criteria with cross-functional input . Prioritize features and initiatives that maximize client impact while balancing feasibility, innovation, and strategic direction. Serve as the primary liaison between stakeholders and the development team , facilitating open communication and timely decision-making. Champion the customer voice ensuring every feature contributes to meaningful, measurable results for users. Support Agile delivery, providing real-time feedback, clarifying priorities and ensuring continuous progress through sprints. Coordinate release readiness and collaborate with QA and delivery teams to ensure smooth product launches. Track performance metrics, gather post-release feedback and drive data-informed iterations for continuous improvement. Skills and Experience Demonstrated expertise in product ownership, with a focus on managing backlog, defining features and ensuring successful delivery Excellent prioritization skills to ensure delivery of high-impact features . Effective collaborator across engineering, sales, marketing and client-facing teams . Excellent communicator , capable of simplifying complexity and building trust across technical and non-technical stakeholders. Solid understanding of Agile methodologies and the full product development lifecycle . Proficiency in tools such as Jira, Confluence, or similar project management tools . Analytical mindset with an ability to connect client feedback, product metrics, and business goals. Familiarity with cybersecurity concepts, data platforms, or AI-driven analytics is highly desirable. Strong problem-solving skills with a track record of resolving competing priorities and delivery challenges . Passionate about learning and innovation, with curiosity for emerging technologies. Company Profile Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark , Cochin , Kerala. For more information, please visit https://www.prevalent.ai
Role purpose Are you passionate about shaping the future of cybersecurity products that empower organizations to stay ahead of evolving threats? At Prevalent AI, our Data Fabric and Exposure Management products exemplif y a next-generation approach to threat and exposure management. By leveraging a data fabric foundation, AI-powered insights and a knowledge graph of interconnected security entities, our platform delivers contextual, actionable intelligence. As a Product Manager at Prevalent AI, you will be at the heart of our innovation , owning the strategy, shap ing the road map and driv ing the development of our cutting-edge products, that empower organizations to stay ahead of ever-evolving cyber security threats. You wi ll also help bridge market intelligence with technical innovation to deliver data-driven products that are both visionary and executable. You will collaborate with cross-functional teams, ensuring our products not only meet market needs but also delight clients across multiple regions. Join us in build ing what’s next. Key accountabilities Define and own the product vision and roadmap, ensuring alignment with client needs, business goals, and the principles of data fabric-backed cybersecurity solutions. Translate complex cybersecurity challenges into actionable, data-driven product features that reduce risk and enhance operational efficiency. Partner with cross-functional teams , including E ngineering, Product Development, Client Solutions and Services teams to ensure seamless development and rollout of impactful, client-focused products. Leverage AI-driven insights and market intelligence to prioritize features, identify gaps, and uncover opportunities for innovation. Mentor and collaborate with Product Owners, fostering alignment with overall product strategy and promoting a culture of continuous improvement. Identify pain points and innovation paths through deep data analysis Guide the development of high-level features, Epics, and use cases informed by contextual data analysis and AI-powered knowledge graphs Mentor and guide Product Owners to ensure alignment with overall goals. Champion agility, iterative learning, and innovation across product and partner teams. Skills and Experience Proven experience in product management, with expertise in strategy, roadmap development and full lifecycle ownership of complex technology products. Strong understanding of cybersecurity, threat and exposure management, and risk reduction strategies Hands-on familiarity with security platforms and tools such as Splunk, Palo Alto, Sentinel, etc; including configuring data ingestion, monitoring key pain points, and understanding hot/cold tier cost implications Knowledge of data modelling and management, including common information models, log data, and business reference data, with the ability to embed these into a data fabric architecture. Experience integrating multiple cybersecurity tools (e.g., Palo Alto, Microsoft Sentinel) into a unified platform. Experience translating complex data and AI-driven insights into actionable, client-focused product features. Skilled at balancing immediate client needs with long-term product vision and strategic goals Data-driven decision maker, leveraging market research and competitor analysis to prioritize features and drive product success Strong prioritization focused on client value and business impact Confident communicator , adept at presenting to stakeholders and leadership Deep understanding of agile development and end-to-end product delivery Strong analytical and problem-solving skills, with the ability to identify gaps, opportunities, and innovation paths Proven experience in fostering seamless collaboration across cross-functional teams , building strong relationships with key stakeholders and clients and mentoring Product Owners.
Role purpose : Are you ready to take your QA career to the next level? At Prevalent, we're on a mission to build top-tier, scalable, and secure solutions, and we need a passionate Senior QA Engineer like you to help us shape the future of quality assurance! If you're eager to lead the charge in crafting innovative automated testing strategies, working closely with talented developers, and mentoring the next generation of QA engineers, this is your chance to make an impact. As a Senior QA Engineer, you’ll play a key role in delivering high-quality products while driving continuous improvement across our QA practices. You’ll work in a fast-paced environment, tackling complex problems head-on and ensuring our products meet the highest standards for functionality, security, and performance. Plus, you’ll have the opportunity to guide and inspire junior engineers, helping them grow as part of a supportive and collaborative team. Key accountabilities: Create test designs, cases, processes, and test data to ensure scalability without compromising performance using smart test data Execute automated regression tests after each release to speed up Big Data validation Collaborate on business requirements, providing test scripts and scenarios to ensure developers understand them Design and write test automation scripts using frameworks Execute test cases, report defects, and define severity and priority Follow defined standards and procedures for all test-related work Document bugs for development teams to easily reproduce issues Participate in testing procedure walk-throughs and prepare reports Contribute to predictable, quality release delivery Maintain detailed documentation of test cases and results Proactively identify and solve issues, proposing innovative solutions Work within agile teams to ensure quality is prioritised Skills and Experience Strong experience in QA and testing across the full SDLC, including API Testing, QA automation and tooling Ability to interpret requirements and technical specs to create valuable test cases Familiarity using Docker, Kubernetes, and continuous delivery/release pipelines Relevant experience in Testing enterprise applications on AWS and Azure cloud environments Considerable Experience in coding using Java, Scala, Python, and other languages Familiarity with Hadoop, NoSQL, MySQL, and Elasticsearch Strong analytical, development, and testing skills, including translating requirements into test scenarios Attention to detail in spotting patterns and irregularities Willingness to learn new technologies Experience with full project lifecycle from concept to result Excellent communication, problem-solving, and client-facing skills Experience working with Agile/Scrum methodologies and development processes Proficient in GIT and automated QA processes in agile environments Experience in test automation and DevOps tooling Practical knowledge of Big Data technologies like Spark and Hadoop
Role purpose: Are you an experienced UI Engineer with a passion for crafting seamless, high-performance user experiences? We’re looking for a Senior UI Engineer to lead the charge in advancing the front-end development of our platform. In this role, you'll leverage your deep expertise in UI design, implementation, and user experience to deliver innovative, responsive solutions for complex customer projects. As a senior team member, you'll have the opportunity to drive the application of advanced UI design principles, tackle intricate UI challenges, and mentor others while collaborating closely with our engineering team. If you're a strategic thinker with strong problem-solving skills, a proven track record of delivering exceptional design solutions, and thrive in a fast-paced, collaborative environment, want you to help shape the future of our platform and elevate our user experiences to new heights. This role additionally provides the opportunity to apply cutting-edge user interface design principals, develop implementation design for UI projects in a customer project context, troubleshoot and implement complex UI development issues. Key accountabilities: Perform design and development of the UI components of Prevalent’s products Ensure web scale responsive design and implementation Understand product vision and business needs to define appropriate User Experience Building reusable code and libraries for future use Experience working with Single Page Application frameworks like React Experience working with of data visualization tools, such as D3.js, Tableau, etc Experience building reusable component-based UI frameworks like Google material design Gather requirements and understand current UI standards, perform reverse engineering of front- end code to evaluate current UI state Ensure that software meets or exceeds specified standards and end-user requirements. Skills and Experience: Strong expertise in modern frontend technologies, including HTML5, CSS3, JavaScript (ES6), and ReactJS, with hands-on experience in UI optimization and performance best practices Proficient in React workflows, state management (e.g., Redux), and integrating RESTful APIs. Well versed in data structures like JSON and working with databases such as PostgreSQL, MongoDB, MySQL, and GraphQL. Skilled in translating visual designs and wireframes into high-quality, modular, and componentized code. Experienced in frontend build pipelines and tools Highly technical, autonomous, and collaborative, with excellent problem-solving, communication, and attention to detail. Adaptable in fast-paced environments and knowledgeable in SDLC methodologies(Agile).
Company Profile: Prevalent AI (PAI) is a Security Data Science Company, founded in the UK, by experts recognized globally, for solving the world’s toughest security problems. We apply the world’s best Security Data Science knowledge and expertise to help companies understand, deploy, and support the most advanced security solutions, by developing a security architecture based on a deep understanding of Data Science, Security Tradecraft and Big Data Technologies. PAI’s Security Data Science (SDS) platform is a big data security analytics platform that can ingest wide range of security telemetry data and apply advanced analytical approaches to identify and detect control weakness and security risks within enterprises. PAI team consists of Cyber Security Domain Specialists, Information Security Analysts, Data Scientists, Data Engineers, and Data Analysts focused on developing advanced security analytics solutions (Solution Development) and delivering security insights to our clients. Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark, Cochin, Kerala. For more information, please visit https://www.prevalent.ai Role Purpose and Key Accountabilities: The primary role of Lead UI Engineer at PAI would be to develop and design as well as define and ensure high performance and responsiveness of the front - end platform. Successful candidates would be talented self-starters, with a proven knowledge in UI implementation and design decision-making that is grounded in User Experience best practices, who are eager to learn new things and will hit the ground running. This role additionally provides the opportunity to apply cutting-edge user interface design principals, develop implementation design for UI projects in a customer project context, troubleshoot and implement complex UI development issues. You will work closely with the engineering team towards ensuring the deliverables and be responsive, flexible, and adapt to thrive in collaborative work environments. We are looking for a talented and experienced design leader with exceptional problem-solving abilities, clear communication skills, and solid design instincts who can translate business needs into fantastic customer-focused solutions. Perform design and development of the UI components of the platform Ensure web scale responsive design and implementation. Understand product vision and business needs to define appropriate User Experience. Building reusable code and libraries for future use Experience working with Single Page Application frameworks like Angular, React, Node Experience working with of data visualization tools, such as D3.js, Tableau, etc. Experience building reusable component-based UI frameworks like Google material design Gather requirements and understand current UI standards, perform reverse engineering of front- end code to evaluate current UI state. Skills & Experience Significant experience with UI design for complex workflows. Technical expertise in design, development, coding, testing, and debugging of software. Hands on experience in UI optimization best practice implementations. Working experience on HTML5, CSS3, Angular, Jquery, ReactJS, ES6. Engineered JS with design patterns advanced Object-Oriented JS and extensive usage of data structures in UI like JSON. Highly technical, hands-on, motivated and collaborative individual capable of working in a fast-paced environment. Good team building and leading skills. Excellent communication and written skills. Strong personal management skills. Must be able to function autonomously as well as a team contributor. Excellent attention to detail. Information Security responsibilities:- We take our security responsibilities very seriously and we trust each of our team members to do their utmost to keep our business secure and safe. Ensure you are aware and comply with the organisation’s information security policies and procedures Ensure no client data is copied or downloaded to PAI system/network Ensure you do not access sensitive data which is not required for you to perform your job responsibilities. If in doubt, please consult with your Lead before proceeding Ensure you attend and comply with all Information Security trainings provided by the PA InfoSec and People team Knowledge: Good knowledge in HTML 5/ CSS3 standards. Working knowledge in UI Metadata Development (SASS or LESS). Strong experience in UI development (JSP, HTML, CSS, Ajax, and XML). Strong understanding of JavaScript/Object Oriented JS Significant experience in Angular/Node. Up to date knowledge in modern JavaScript development techniques. Understanding of UI Componentization and Modularization. Understanding of Asynchronous Request handling techniques Understanding of REST and MVC Understanding the usage of modern task automation and build tools like NPM, Bower, Grunt/Gulp/Webpack etc Proficient understanding of code versioning tools, such as SVN or GIT Understanding of Design Patterns and SOLID OOP principles UI debugging skills using browser developer tools Strong knowledge of Ajax, Web Services, servlets, etc. Good awareness on the SDLC methodology (preferably agile). Education: Bachelors or Master’s Degree in design or related field Values Inquisitive: Inquisitive by nature, hungry for knowledge and excited about new challenges. Authent ic : Genuine, with a desire to create real and lasting relationships with clients, partners and colleagues Focused: Tirelessly pursue results, driven by a clear sense of purpose to make clients and partners secure and successful.
Role purpose : As a Junior Data Engineer at Prevalent, you will play a key role in supporting the development of our Data Fabric and Exposure Management products. This entry-level position offers an exciting opportunity to work with cutting-edge big data technologies and gain hands-on experience in building and maintaining data systems at a petabyte scale. You will be involved in the collection, transformation, transportation, and ingestion of large volumes of data across distributed systems, helping to drive the efficiency and scalability of our data infrastructure. This role provides the perfect environment for fresh graduates or entry-level professionals who are eager to learn, grow, and contribute to building innovative solutions in the world of big data. At Prevalent, we embrace modern technology, and as a Junior Data Engineer, you’ll gain valuable experience with open-source big data tools and frameworks, developing critical skills in the data engineering field. Your work will support the development of high-impact data solutions while ensuring high-quality data management across our systems. Key accountabilities : Conduct unit, system, and integration testing of developed modules and integrate relevant Big Data tools and framework Participate in the design, development, and deployment of our product modules both on the Cloud and on-premises Collaborate with client and partner teams to deliver high-quality data solutions and resolve operational issues promptly while aligning with business priorities Stay updated on industry trends and best practices in Data Engineering and Open-Source Big Data technologies Follow a personal education plan to enhance expertise in the technology stack and solution architecture Contribute to agile teamwork and build processes supporting data transformation, structures, metadata, and workload management Skills and Experience: Fresher with a strong interest in Data Engineering and a solid analytical mindset for working with unstructured datasets. Proficient in SQL and relational databases, with experience in query authoring and familiarity with various databases. Hands-on experience with big data tools like Hadoop, Spark, Kafka, and NoSQL databases (e.g., Postgres, MongoDB, Elastic) Strong understanding of Data Lake concepts, including data ingestion, transformation, and the Hadoop Framework (MapReduce, parallel processing). Familiar with Spark (SparkSQL, PySpark) and Agile methodology. Knowledge in message queuing, stream processing, and scalable big data stores. Excellent communication skills, both verbal and written, with the ability to work autonomously and collaboratively in a fast-paced environment. Education: Master’s/Bachelor’s in Computer Science Engineering
Role purpose Prevalent is looking for a Lead QA Engineer to drive the quality and performance of our cutting-edge AI products, Exposure Management and Data Fabric . In this role, you’ll lead the development of automated testing strategies, ensure high scalability and security, and work closely with engineering teams to enhance product functionality. You’ll take ownership of end-to-end QA processes, champion continuous improvement, and help shape world-class solutions for our clients. If you're passionate about automation, solving complex QA challenges, and leading quality initiatives in a fast-moving tech environment, this is your chance to make a big impact . Key accountabilities Create test designs, cases, processes, and test data to ensure scalability without compromising performance using smart test data Execute automated regression tests after each release to speed up Big Data validation Collaborate on business requirements, providing test scripts and scenarios to ensure developers understand them Design and write test automation scripts using frameworks Execute test cases, report defects, and define severity and priority Follow defined standards and procedures for all test-related work Document bugs for development teams to easily reproduce issues Participate in testing procedure walkthroughs and prepare reports Contribute to predictable, quality release delivery Maintain detailed documentation of test cases and results Proactively identify and solve issues, proposing innovative solutions Work within agile teams to ensure quality is prioritized Skills and Experience Relevant experience in QA and testing across the full SDLC, including QA automation and tooling Ability to interpret requirements and technical specs to create valuable test cases Experience building test infrastructures using Docker, Kubernetes, and continuous delivery/release pipelines Testing enterprise applications on AWS and Azure cloud environments Proficient in coding using Java, Scala, Python, and other languages Familiarity with Hadoop, NoSQL, MySQL, and Elastic s earch Strong analytical, development, and testing skills, including translating requirements into test scenarios Attention to detail in spotting patterns and irregularities Willingness to learn new technologies Proficient with full project lifecycle from concept to result Excellent communication, problem-solving, and client-facing skills Experience working with Agile/Scrum methodologies and development processes Proficient in GIT and automated QA processes in agile environments Pertinent experience in test automation and DevOps tooling Practical knowledge of Big Data technologies like Spark and Hadoop Proficient with bug tracking and test management tools Information Security Responsibilities We take our security responsibilities very seriously and we trust each of our team members to do their utmost to keep our business secure and safe . Ensure you are aware and comply with the organization’s information security policies and procedures . Ensure no client data is copied or downloaded to PAI system/network Ensure you do not access sensitive data which is not required for you to perform your job responsibilities. If in doubt, please consult with your Lead before proceeding Ensure you attend and comply with all Information Security trainings provided by the PAI InfoSec and People T eam Education B.Tech / Equivalent degree in Computer Science CTFL, ISTQB, CSQA or CSTE certified Degree level qualifications in a technical related subject is preferred
Role purpose As the Principal UI Architect at Prevalent AI, you will own and drive the end-to-end front-end architecture vision for our Data Fabric and Exposure Management platforms. You will define the future-ready UI ecosystem that powers intelligent, agentic user experiences, self-serve analytics, advanced visualizations, and high-performance, scalable applications. This role goes beyond building UIs—it is about designing a modern, resilient, AI-augmented architecture that supports rapid development, exceptional quality, and long-term product evolution. You will identify structural gaps, elevate engineering standards, and establish the patterns, processes, and guardrails needed for world-class UI development. You will collaborate deeply with UX, product, backend, platform, and AI engineering teams to translate complex requirements into elegant, performant frontend systems. As the technical leader for UI across the organization, you will mentor engineers, drive architectural coherence, elevate code quality, and influence strategic product direction. If you are passionate about crafting sophisticated UI systems, solving large-scale architectural challenges, and shaping the future of AI-driven, exploratory, and analytical interfaces—this is your opportunity to create lasting impact. Key accountabilities Strategic Architecture Leadership Define the long-term UI architecture aligned with product strategy, including agentic experiences for Data Fabric and Exposure Management. Architect a future-ready front-end platform that supports: agent-driven workflows self-serve dashboarding and reporting graph-based and advanced analytical visualisations real-time, data-intensive applications Lead the evolution from traditional dashboards toward intelligent, adaptive, AI-augmented UI systems. Quality, Reliability & Structural Excellence Champion engineering excellence by identifying root causes of quality issues across: technical design component structure code organization state management testing strategy development processes and toolchains Establish architecture guidelines, coding standards, and review practices that raise product robustness and maintainability. Drive adoption of scalable component frameworks, reusable UI libraries, and consistent design patterns. AI-Driven Developer Velocity Introduce and operationalize AI tools to improve developer velocity (code generation, refactoring, test creation, documentation, automation). Define workflows where AI assists in rapid prototyping, design-to-code translation, visualisation generation, and repetitive development tasks. Build pipelines and guardrails ensuring AI-assisted code meets security, quality, and performance standards. Hands-On Technical Leadership Architect and guide the development of complex UI components for web-scale systems. Build reusable, performance-optimized libraries and frameworks for dashboards, graphs, and data-intensive interfaces. Lead the design of high-performance frontend systems with efficient rendering, minimal re-renders, and scalable state management. Bridge frontend and backend concerns to ensure cohesive, maintainable, future-proof systems. Advanced Visualisation & Interaction Capabilities Lead the architecture for data visualisations including graphs, networks, hierarchical layouts, and interactive analytical interfaces. Ensure visualisation performance for large-scale, streaming, and real-time datasets. Cross-Functional Leadership & Collaboration Work closely with UX, product, platform engineering, and AI teams to translate conceptual designs and exploration workflows into scalable UI systems. Conduct architectural reviews, mentor UI/UX engineers, and drive continuous improvement across the team. Ensure alignment between frontend, backend, and data pipelines for seamless user experiences. Skills and Experience Proven expertise in designing large-scale, high-performance UI architectures for enterprise products. Extensive experience with React, GraphQL , TypeScript, and modern JS micro-frontend patterns. Strong background in architecting visualization systems for complex datasets, including graph-based UIs. Deep understanding of rendering lifecycle, performance tuning, and browser-level optimisations . Strong ability to analyze codebases and processes to identify architectural and structural gaps affecting quality. Experience in designing AI-assisted development workflows and improving developer velocity using AI tools. Ability to build reusable component frameworks, design systems, and UI libraries. Excellent collaboration, leadership, and problem-solving skills. Comfortable working in high- pace environments and proficient in Agile methodologies. Demonstrated ability to mentor engineering teams and influence technical direction across the organisation .
Role purpose As the Principal UI Architect at Prevalent AI, you will own and drive the end-to-end front-end architecture vision for our Data Fabric and Exposure Management platforms. You will define the future-ready UI ecosystem that powers intelligent, agentic user experiences, self-serve analytics, advanced visualizations, and high-performance, scalable applications. This role goes beyond building UIs—it is about designing a modern, resilient, AI-augmented architecture that supports rapid development, exceptional quality, and long-term product evolution. You will identify structural gaps, elevate engineering standards, and establish the patterns, processes, and guardrails needed for world-class UI development. You will collaborate deeply with UX, product, backend, platform, and AI engineering teams to translate complex requirements into elegant, performant frontend systems. As the technical leader for UI across the organization, you will mentor engineers, drive architectural coherence, elevate code quality, and influence strategic product direction. If you are passionate about crafting sophisticated UI systems, solving large-scale architectural challenges, and shaping the future of AI-driven, exploratory, and analytical interfaces—this is your opportunity to create lasting impact. Key accountabilities Strategic Architecture Leadership Define the long-term UI architecture aligned with product strategy, including agentic experiences for Data Fabric and Exposure Management. Architect a future-ready front-end platform that supports: agent-driven workflows self-serve dashboarding and reporting graph-based and advanced analytical visualisations real-time, data-intensive applications Lead the evolution from traditional dashboards toward intelligent, adaptive, AI-augmented UI systems. Quality, Reliability & Structural Excellence Champion engineering excellence by identifying root causes of quality issues across: technical design component structure code organization state management testing strategy development processes and toolchains Establish architecture guidelines, coding standards, and review practices that raise product robustness and maintainability. Drive adoption of scalable component frameworks, reusable UI libraries, and consistent design patterns. AI-Driven Developer Velocity Introduce and operationalize AI tools to improve developer velocity (code generation, refactoring, test creation, documentation, automation). Define workflows where AI assists in rapid prototyping, design-to-code translation, visualisation generation, and repetitive development tasks. Build pipelines and guardrails ensuring AI-assisted code meets security, quality, and performance standards. Hands-On Technical Leadership Architect and guide the development of complex UI components for web-scale systems. Build reusable, performance-optimized libraries and frameworks for dashboards, graphs, and data-intensive interfaces. Lead the design of high-performance frontend systems with efficient rendering, minimal re-renders, and scalable state management. Bridge frontend and backend concerns to ensure cohesive, maintainable, future-proof systems. Advanced Visualisation & Interaction Capabilities Lead the architecture for data visualisations including graphs, networks, hierarchical layouts, and interactive analytical interfaces. Ensure visualisation performance for large-scale, streaming, and real-time datasets. Cross-Functional Leadership & Collaboration Work closely with UX, product, platform engineering, and AI teams to translate conceptual designs and exploration workflows into scalable UI systems. Conduct architectural reviews, mentor UI/UX engineers, and drive continuous improvement across the team. Ensure alignment between frontend, backend, and data pipelines for seamless user experiences. Skills and Experience Proven expertise in designing large-scale, high-performance UI architectures for enterprise products. Extensive experience with React, GraphQL , TypeScript, and modern JS micro-frontend patterns. Strong background in architecting visualization systems for complex datasets, including graph-based UIs. Deep understanding of rendering lifecycle, performance tuning, and browser-level optimisations . Strong ability to analyze codebases and processes to identify architectural and structural gaps affecting quality. Experience in designing AI-assisted development workflows and improving developer velocity using AI tools. Ability to build reusable component frameworks, design systems, and UI libraries. Excellent collaboration, leadership, and problem-solving skills. Comfortable working in high- pace environments and proficient in Agile methodologies. Demonstrated ability to mentor engineering teams and influence technical direction across the organisation .