Siem Deployment Engineer Jobs in Bengaluru

Staff Engineer, Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect Level) The Opportunity: Strategic Quality Architect We are seeking a Staff Engineer to act as the technical architect for Solution Test Automation of our Network Management System (SMx). This senior individual contributor role requires a rare blend of deep L2/L3 networking expertise and proficiency in modern AI-driven automation. You will drive the vision for product quality, mentor a growing team, and solve the complex challenges of testing fiber-optic and telecom infrastructures. Technical Expertise & Domain Depth Networking & Fiber Optics: L2/L3 Protocols: Strong mastery of OSPF, BGP, ISIS, VLAN, and VRF. Network Protocols: Expert knowledge of Ethernet, TCP/IP, and SNMP. Optical Technology: Familiarity with GPON and XGSPON technologies and telecom network devices. Automation Stack: Framework Architecture: Advanced proficiency in Robot Framework, PYART, and Playwright. Programming: Expert Python skills for developing maintainable scripts and custom libraries. Modern Tooling: Experience implementing AI-based GUI testing and visual validation tools. CI/CD & DevOps: Integration of automated suites into Jenkins/GitLab CI using Docker/Kubernetes. Key Responsibilities Engineering Leadership & Mentorship: Team Guidance: Mentor junior automation engineers, conduct rigorous code reviews, and foster a high-performance culture. Project Ownership: Drive the end-to-end automation lifecycle from test strategy and environment planning to advanced results analytics. Cross-functional Alignment: Partner with Product Management and Dev teams to triage issues and align quality goals with release schedules. Innovation & Domain Application: Scenario Design: Leverage domain expertise to simulate realistic network topologies and complex customer use cases. Process Optimization: Champion the transition from manual efforts to high-efficiency automation by refining methodologies and frameworks. Troubleshooting: Resolve complex issues related to Optical Communication and Network Management Systems. What You Bring Proven Track Record: 12+ years in QA/Automation with significant experience in NMS/EMS or complex enterprise applications. Educational Background: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Soft Skills: Exceptional ability to simplify complex technical networking concepts for diverse stakeholders. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Job Title: AI/ML Engineer Location: Bangalore Experience: 4 5 Years Qualification: Bachelor s or Master s Degree in Computer Science or a related field Job Description Design and develop machine learning and deep learning systems tailored to business needs. Select and preprocess appropriate datasets; implement and optimize ML algorithms. Conduct machine learning experiments, run tests, and perform statistical analysis to fine-tune models. Train, retrain, and maintain ML systems to ensure accuracy and performance. Extend and customize existing ML libraries and frameworks. Stay updated with the latest research and advancements in machine learning and AI. Requirements Proven experience as a Machine Learning Engineer or similar role. Strong understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms relevant to ML. Proficiency in writing clean, robust code in Python. Experience with ML frameworks such as TensorFlow or PyTorch, and libraries like scikit-learn. Skilled in deploying ML models and developing APIs for production environments. Experience with AWS cloud and ML services; knowledge of SageMaker is a plus. Qualification : Bachelors or Masters Degree in Computer Science or a related field

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Platform Admin NextGen SIEM Location: Bangalore (Onsite) About ColorTokens At ColorTokens, we re all about helping businesses stay secure and keep running, no matter what cyber chaos hits. Our game-changing Xshield platform stops ransomware and malware from spreading sideways, so companies can keep their critical stuff safe and business uninterrupted. We bring insane visibility into traffic flows between workloads, IoT devices, users basically everything to create super tight security zones that isolate threats fast. We re a Forrester Wave Leader (Q3 2024) for microsegmentation and protect global giants from costly cyber disruptions. Our Culture We love self-starters who bring energy, curiosity, and big ideas. You ll get to own projects, collaborate with passionate teammates, and work on security that actually protects real people from hospitals to cities to entire nations. What You ll Do The Role You ll run and manage our NextGen SIEM platform think Splunk, Sentinel, Exabeam, Stellar Cyber, or similar making sure it s up-to-date, humming smoothly, and packed with the right alerts. Admin & Ops: Install, configure, patch, and keep the SIEM platform running 24/7. Log Boss: Bring in new log sources, troubleshoot ingestion issues, and ensure data is clean and compliant. Rule Maker: Build and tweak detection rules and alerts to catch real threats while cutting down false alarms. Integrate & Automate: Connect SIEM with other security tools and automate incident workflows. Lock It Down: Manage user access, keep the platform secure, and nail compliance requirements. Team Player: Work closely with SOC analysts, threat hunters, and engineers to level up detection and response. Support & Train: Help users get the most from the platform and be the go-to expert when incidents hit. Optimize & Report: Track performance, fix bottlenecks, and share insights to keep the platform sharp. What You Bring Your Skills & Experience 8+ years managing SIEM platforms, especially NextGen ones like Splunk, Sentinel, or Exabeam. Expert in log management, rule creation, and onboarding data from all sorts of sources. Solid scripting skills (Python, PowerShell) to automate and customize workflows. Deep knowledge of log formats (Syslog, JSON, XML), querying languages (KQL, SPL, AQL), and data pipelines. Experience integrating SIEM with EDR, SOAR, NDR, and threat intel platforms. Familiar with security frameworks like MITRE ATT&CK, NIST, or CIS. Bonus points if you know cloud security (AWS, Azure, GCP), machine learning in SIEM, or SOAR tools like Cortex XSOAR or Phantom. Your Credentials Bachelor s degree in Computer Science, InfoSec, or related field (or equivalent experience). Relevant certifications like Splunk Certified Admin, Microsoft Security Operations Analyst, QRadar cert, or CISSP are a major plus. What Success Looks Like Keep SIEM uptime near 100%. Smoothly onboard new log sources and build killer detection use cases. Reduce noise fewer false positives, sharper alerts. Fast, effective fixes when platform issues pop up. Align SIEM capabilities tightly with security and business goals. Qualification : Bachelors degree in Computer Science, InfoSec, or related field (or equivalent experience).

Platform Engineer Location: Bengaluru, Karnataka, India Full-time partially remote About ColorTokens At ColorTokens, we empower businesses to stay operational and resilient in an increasingly complex cybersecurity landscape. Breaches happen but with our cutting-edge ColorTokens Xshield platform, companies can minimize the impact of breaches by preventing the lateral spread of ransomware and advanced malware. We enable organizations to continue operating while breaches are contained, ensuring critical assets remain protected. Our innovative platform provides unparalleled visibility into traffic patterns between workloads, OT/IoT/IoMT devices, and users, allowing businesses to enforce granular micro-perimeters, swiftly isolate key assets, and respond to breaches with agility. Recognized as a Leader in the Forrester Wave : Microsegmentation Solutions (Q3 2024), ColorTokens safeguards global enterprises and delivers significant savings by preventing costly disruptions. Our culture We foster an environment that values customer focus, innovation, collaboration, mutual respect, and informed decision-making. We believe in alignment and empowerment so you can own and drive initiatives autonomously. Self-starters and high-motivated individuals will enjoy the rewarding experience of solving complex challenges that protect some of world s impactful organizations be it a children s hospital, or a city, or the defense department of an entire country. Position Overview: Colortokens is looking for a Junior Platform Administrator to assist in managing, maintaining, and optimizing our NextGen Security Information and Event Management (SIEM) platform. The ideal candidate will support the day-to-day operations, help onboard customer log sources, troubleshoot integration issues, and provide technical assistance to the security operations team. This role is ideal for a motivated professional with 3+ years of experience in SIEM administration, security operations, or log management. Key Responsibilities: SIEM Platform Administration Assist in deploying, configuring, and maintaining the NextGen SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, QRadar, Chronicle, Exabeam). Perform basic updates and patches to ensure platform security and functionality. Monitor SIEM health, performance, and uptime under the guidance of senior administrators. Log Source Management Onboard new log sources and validate data ingestion. Help troubleshoot log ingestion, parsing, and formatting issues. Maintain log retention policies for compliance. Rule and Use Case Management Support the development and deployment of detection rules, correlation use cases, and alerts. Tune existing use cases to minimize false positives. Work closely with security analysts to refine alerting strategies. Integration and Automation Assist in integrating SIEM with other security tools (e.g., EDR, microsegmentation, vulnerability scanners). Work on basic automation tasks using scripting (Python, PowerShell) to enhance SIEM efficiency. Platform Security and Compliance Support role-based access control (RBAC) and platform security policies. Help ensure SIEM adheres to compliance standards like SOC2, ISO 27001. Participate in periodic security audits. Network Debugging & Troubleshooting Have a basic understanding of TCP/IP, networking concepts, and protocols. Assist in debugging network connectivity issues related to SIEM log ingestion. Use basic network troubleshooting tools. Collaboration and Support Work alongside SOC analysts, threat hunters, and security engineers. Provide basic technical support for SIEM users. Assist in training and documentation for security teams. Performance Monitoring and Optimization Monitor storage and indexing performance to ensure optimal operations. Report any performance issues to senior administrators. Contribute to platform health reports and alerting metrics. Incident Support Assist SOC teams in log analysis, incident response, and forensic investigations. Ensure log data is readily available for security incidents. Education and Certifications: Bachelor s degree in Computer Science, Information Security, or a related field. Certifications (Preferred but not mandatory): Splunk Certified User/Admin Microsoft Certified: Security Operations Analyst Associate QRadar Certification Any SIEM-related certification Experience: 3+ years of experience in SIEM administration, security operations, or log management. Hands-on experience with at least one SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, Chronicle, Exabeam). Basic knowledge of log ingestion, rule creation, and data parsing. Exposure to scripting (Python, PowerShell) for automation. Basic understanding of TCP/IP networking concepts and network debugging. Technical Skills: Understanding of log formats, Syslog, JSON, XML, and data pipelines. Basic knowledge of querying languages (KQL, SPL, AQL). Familiarity with SIEM integration with security tools like EDR, SOAR, NDR. Awareness of MITRE ATT&CK, NIST, or CIS security frameworks. Basic experience with network troubleshooting tools (ping, traceroute, netcat (nc)). Soft Skills: Strong problem-solving and troubleshooting abilities. Good verbal and written communication skills. Ability to work collaboratively in a security operations environment. Preferred Skills: Basic understanding of cloud-based security solutions (AWS, Azure, Google Cloud). Exposure to SOAR tools (e.g., Cortex XSOAR, Splunk Phantom). Interest in machine learning-based anomaly detection for SIEM. Key Metrics for Success: Successful onboarding of log sources. Improvement in log ingestion and parsing accuracy. Contribution to fine-tuning detection rules. Timely resolution of SIEM-related support requests. Ability to identify and troubleshoot basic network connectivity issues.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Job Title: Lead Product Engineer Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 6 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm helping Fortune 500 and Global 2000 organizations drive better decision-making through custom-built AI solutions. With our proprietary platform NucliOS, we power scalable, reusable, and intelligent products that accelerate digital transformation across industries. At MathCo, we empower our engineers to innovate, take ownership, and work on cutting-edge enterprise-grade products from scratch. If you re passionate about full-stack product development and thrive in a dynamic, high-impact environment, we d love to talk to you. About the Role As a Lead Product Engineer, you will be responsible for the architecture, development, and deployment of full-stack applications that are critical to our enterprise clients success. You ll lead a cross-functional team and work closely with product managers, designers, and data scientists to deliver high-performance solutions that scale and transform. This role combines hands-on coding, system architecture, and team leadership, and is ideal for engineers looking to make a direct impact on product direction and execution. Key Responsibilities 1. Full Stack Development Build and maintain RESTful APIs and microservices using languages like Python or Node.js. Design and develop scalable and maintainable UI components using modern front-end frameworks (e.g., React, Vue, Angular). Architect and manage application databases (SQL & NoSQL). Integrate with authentication/authorization protocols (e.g., OAuth2, OIDC, SAML). Participate in the full product lifecycle from ideation and development to deployment and support. 2. Product Development & Collaboration Translate business requirements into technical solutions in collaboration with product managers and designers. Provide technical leadership and guidance to the development team. Optimize systems for performance, scalability, and reliability. 3. Code Quality & Testing Write clean, efficient, well-documented code following best practices and industry standards. Conduct and participate in code reviews. Develop and maintain automated test frameworks; ensure unit, integration, and end-to-end testing coverage. Oversee CI/CD pipelines and manage cloud-based deployments. Must-Have Technical Skills 6 10 years of experience in full-stack development and system design. Proficiency in backend languages like Python, Node.js (bonus: Rust, Go). Strong front-end experience with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Expertise in REST APIs, microservices, and database design (ER modeling, data flow, API integration). Hands-on with PostgreSQL, MySQL, MongoDB, or similar. Experience deploying applications on cloud platforms (AWS, Azure, GCP). Familiarity with Docker, Kubernetes, and infrastructure tools like Terraform, CloudWatch. Version control and DevOps experience with GitHub, Azure DevOps, and CI/CD pipelines. Non-Technical & Soft Skills Strong knowledge of Agile methodologies (SCRUM). Excellent problem-solving and debugging capabilities. Strong communication and collaboration skills across teams. Ability to manage multiple projects in a fast-paced environment. Work with some of the best minds in data science, engineering, and AI. Drive high-impact product development used by Fortune 500 companies. Be part of a flat, inclusive, and innovation-driven workplace culture. Access to cutting-edge tools, custom-built platforms, and rapid experimentation. Apply now and help build world-class AI-driven solutions with MathCo.

Senior Security Specialist Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a leading tech platform revolutionizing global business travel and expense technology. Joining Serko means becoming part of a passionate team of travelers and technologists dedicated to transforming the business travel marketplace. With offices worldwide and a new hub in Bengaluru, we embrace diversity and authenticity to create meaningful impact. Our fast-growing India team seeks motivated professionals to help build world-class products and experiences. Role Overview: We are looking for a highly skilled Senior Security Specialist with a strong software engineering and DevSecOps background. This role will lead security initiatives, manage risks, oversee security operations, ensure compliance, and report to senior management. You will work closely with agile development teams to embed security throughout the software development lifecycle, driving robust, scalable security solutions. Key Responsibilities: Lead integration of security practices into the DevOps lifecycle, embedding security into software development and deployment pipelines. Collaborate with development and operations teams to identify and mitigate security risks across applications, infrastructure, and pipelines. Implement and maintain security automation and orchestration tools to improve security posture and operational efficiency. Identify, assess, and manage security risks; develop and implement mitigation strategies. Oversee daily security operations, including monitoring, incident response, and threat intelligence. Ensure compliance with security policies and external standards such as PCI-DSS and SOC2. Prepare and present detailed security reports to senior management, highlighting risks and mitigation plans. Lead security awareness campaigns to educate employees on emerging threats and best practices. Stay current on emerging security technologies and trends, particularly in Azure security and DevSecOps. Evaluate and recommend security tools and solutions to enhance the organization's security posture. Qualifications & Experience: 5+ years in a senior security role focused on Security Operations, Risk Management, and Compliance within software engineering environments. Deep understanding of security attack and defense methods; hands-on experience with ethical hacking tools preferred. Proven experience with DevSecOps tools such as SAST and DAST. Expertise in Microsoft security products including Azure Security Center, Defender, Azure AD, and Sentinel. Relevant certifications such as CISSP or equivalent highly preferred. Excellent communication, presentation, and documentation skills. Strong team collaboration and leadership skills. Bachelor s degree in Computer Science, Cybersecurity, or related field; certifications may substitute for degree. What We Offer: Competitive base salary and discretionary incentive plan based on individual and company performance. Access to learning and development platforms to own your career growth. Comprehensive family medical coverage, meal coupons, transport allowances, and mobile & internet reimbursement. Flexible work policies supporting work-life balance. An engaging environment with great tools, support, and opportunities to innovate and deliver high-quality results. Qualification : Bachelors degree in Computer Science, Cybersecurity, or related field; certifications may substitute for degree.

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data extraction methods Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving) Ensure high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Data Scientist Lead - L1 Requisition ID: 64997 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Role Purpose: The purpose of this role is to define, architect, and lead the delivery of machine learning and AI solutions. Key Responsibilities: Demand generation through support in Solution development Support Go-To-Market strategy. Collaborate with sales, pre-sales & consulting teams to assist in creating solutions and propositions for proactive demand generation. Contribute to the development of solutions, proof of concepts aligned to key offerings to enable solution-led sales. Collaborate with different colleges and institutes for recruitment, joint research initiatives, and provide data science courses. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions Develop Machine Learning / Deep Learning models for decision augmentation or for automation solutions. Collaborate with ML Engineers, Data Engineers, and IT to evaluate ML deployment options. Integrate model performance management tools into the current business infrastructure. Team Management Resourcing: Support recruitment process to onboard the right resources for the team. Talent Management: Support onboarding and training for team members to enhance capability & effectiveness. Manage team attrition. Performance Management: Conduct timely performance reviews and provide constructive feedback to direct reports. Be a role model to the team for the five habits. Ensure that the Performance Nxt process is followed for the entire team. Employee Satisfaction and Engagement: Lead and drive engagement initiatives for the team. Performance Parameters: No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive Experience: 5-8 Years About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome.

SAP Delivery Manager Location: Bangalore Experience: 10 12 Years Employment Type: Full-time About Fingent At Fingent, we believe technology has the power to transform lives those who use it, build it, and benefit from it. We create software that is elegant, functional, and impactful, helping organizations solve complex challenges. We nurture a culture where talented individuals thrive and grow, bringing the best to themselves, their peers, and their clients. Role Overview We are looking for an experienced SAP Delivery Manager to lead and drive SAP S/4HANA implementation and migration projects. This leadership role requires deep technical expertise, outstanding communication skills, and strong experience managing delivery teams and enterprise clients. Key Responsibilities Lead end-to-end delivery of SAP projects, from scope definition to successful deployment. Provide architectural guidance to align SAP solutions with client business goals. Translate customer needs into technical specifications and functional solutions. Guide and support engineering teams during configuration, development, and deployment. Oversee resource allocation, team onboarding, and performance monitoring. Collaborate with stakeholders and executive teams to ensure transparency and alignment. Facilitate agile ceremonies including sprint planning, reviews, and retrospectives. Ensure high technical integrity and quality standards across SAP solutions. Manage project risks and ensure timely issue resolution. Provide mentorship and structured growth opportunities to team members. Maintain up-to-date documentation, project reports, and executive briefings. Required Skills and Experience 10 12 years of experience in SAP S/4HANA solution consulting, delivery, or systems integration. In-depth knowledge of SAP modules: FICO, MM, PP, SD, PLM, and APO. Strong ABAP development skills and expertise with interface technologies (Web Services, REST APIs, Java connectors). Solid understanding of SAP best practices and security concepts. Proven experience in SAP S/4HANA migration and greenfield/brownfield projects. Experience delivering technical demos and presenting to executive stakeholders. Exceptional communication, leadership, and team management skills. Ability to anticipate project risks and proactively mitigate them. Experience in mentoring, training, and upskilling technical teams. Preferred Traits Strategic thinker with attention to detail and strong problem-solving abilities. Strong interpersonal skills with a collaborative and inclusive mindset. Passion for innovation and continuous improvement.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Join Our Team as a Security Operations Analyst Location: Bangalore, India (On-site) Department: Information Security At Cytiva, we are advancing the future of therapeutics from discovery to delivery. As a leading global provider of technology and services that help researchers and pharmaceutical companies develop and manufacture life-saving treatments, our work is integral to shaping the future of healthcare. We are seeking a Security Operations Analyst to join our global Information Security Team in Bangalore. In this key role, you will be at the forefront of protecting our digital assets and infrastructure by monitoring, analyzing, and responding to security incidents. By proactively identifying threats and vulnerabilities, you will help minimize risk and ensure business continuity. What You ll Do Lead Security Incident Response: Conduct advanced security incident analysis and digital forensics to identify and mitigate threats. Lead investigations into malware, network traffic anomalies, and endpoint detection. Provide Expertise: Guide and mentor L1 and L2 SOC analysts, enhancing the quality of security alerts and incident handling. Optimize Security Tools: Collaborate with engineering teams to fine-tune SIEM tools (e.g., Splunk, Microsoft Sentinel, Elastic Security) and other security technologies for improved detection and response. Proactive Threat Hunting: Identify hidden threats within the organization through threat hunting activities, reducing the potential attack surface. Enhance Security Posture: Partner with other IT and security teams to strengthen the overall security posture, ensuring resilient systems and infrastructures. Post-Incident Reporting: Produce detailed incident reports and provide recommendations for security improvements, leading post-incident reviews with cross-functional teams. Who You Are Experience: Minimum of 5+ years in a corporate IT environment, including at least 2 years in an L3 or senior analyst role. Security Knowledge: Deep expertise in security frameworks such as MITRE ATT&CK, NIST, CIS Controls, and ISO 27001. Technical Skills: Hands-on experience with SIEM platforms (e.g., Splunk, Sentinel, QRadar, ArcSight) and EDR/XDR solutions. Vendor certifications are a plus. Incident Response Expertise: Strong background in incident response, threat hunting, and forensic investigations. Cloud Security Knowledge: Familiarity with cloud security platforms (AWS, Azure, Google Cloud) and modern attack techniques. Certifications like OSCP, CEH are advantageous. Additional Skills That Would Be a Plus: Scripting & Automation: Proficiency in scripting (e.g., Python, PowerShell, Bash) to automate security processes and improve SOC workflows. Specialization: Expertise in EDR, SIEM, UBA, DLP, or Data Security. OT Environments: Experience with Operation Technology (OT) environments is an advantage. Innovative Culture: Join a dynamic, global team dedicated to advancing healthcare through technology and innovation. Impactful Work: Your role will directly contribute to the security and integrity of vital technologies used in the life sciences industry. Global Collaboration: Work with cross-functional teams around the world, contributing to an organization's critical security initiatives. Growth Opportunities: Benefit from continuous learning, career development, and the chance to make a tangible impact on both the organization and the industry. Apply now and be part of a team that is dedicated to ensuring the security of life-saving technologies.

Job Title: Senior DevOps / Site Reliability Engineer Location: Pune, India Company: Blue Yonder Experience: 10 to 13 years Education: Bachelor s Degree in Computer Science, Engineering, or related STEM fields Company Overview Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider and consistently recognized as one of Glassdoor s Best Places to Work. We are driving the next wave of digital transformation in manufacturing and retail, delivering innovative SaaS solutions that power intelligent supply chains across the globe. We are looking for a Senior DevOps / Site Reliability Engineer (SRE) to lead the design, development, deployment, and operational management of our Azure SaaS solution. This role requires strong DevOps, cloud delivery, and infrastructure automation expertise, along with leadership capabilities to guide a growing global team. Role Overview In this role, you will be responsible for architecting, planning, and executing end-to-end delivery pipelines, supporting both product development and operational stability. Working closely with platform, product, and architecture teams, you will implement best-in-class DevOps and SRE practices, ensuring scalability, resilience, and cost optimization. Key Responsibilities Architect, design, and manage CI/CD pipelines and infrastructure for a cloud-native, multi-tenant SaaS solution on Azure. Lead sprint planning, backlog grooming, and architecture discussions. Develop quality automation scripts and tools to reduce manual efforts and enable self-healing, self-service capabilities. Identify and resolve operational bottlenecks and proactively improve observability (monitoring, alerting, logging). Participate in code reviews, ensure secure and scalable designs, and mentor junior and mid-level engineers. Collaborate with stakeholders to understand business and technical requirements and translate them into actionable user stories. Implement and enforce cloud cost optimization strategies. Conduct post-incident reviews with a blameless culture to identify root causes and drive continuous improvements. Automate service requests and standard operational procedures. Drive improvements to the team s continuous integration pipeline, ensuring rapid and reliable deployments. Stay updated with the latest DevOps, SRE, and cloud technologies and bring innovative ideas to the table. Participate in team hiring and actively contribute to onboarding new team members. Technical Environment Languages: Java, Python, PowerShell, Shell Scripting DevOps Tools: Azure DevOps, GitHub Actions, Jenkins Cloud: Microsoft Azure (ARM Templates, AKS, Event Hub, HDInsight, Azure AD, Application Gateway, Virtual Networks) Architecture: Microservices, Kubernetes, Docker, Event-driven architecture Frameworks: Spring Boot, Hibernate Monitoring & Logging: Elasticsearch, Spark, Kafka Databases: RDBMS, NoSQL Version Control: Git Required Skills & Experience Bachelor s Degree (STEM preferred) with 10 to 13 years of experience in DevOps, Cloud Delivery, or Site Reliability Engineering. Proven hands-on experience with Azure Cloud Services. Expertise in setting up and optimizing CI/CD pipelines. Strong scripting experience: Shell and PowerShell are mandatory; Python is a plus. Strong understanding of container technologies (Docker, Kubernetes) and microservices architecture. Experience integrating and managing third-party monitoring and logging tools. Strong problem-solving skills and ability to work with global, cross-functional teams. Excellent communication and stakeholder management skills. Nice to Have Development experience in Java or Python. Experience working in agile teams with a product-centric mindset. Experience working in manufacturing or retail domains. Exposure to AI/ML-driven monitoring and observability tools. Work with cutting-edge technologies on globally impactful solutions. Collaborate with diverse and talented teams across the US, India, and the UK. Foster your career growth through mentorship, continuous learning, and leadership opportunities. Experience an inclusive, flexible work culture where innovation and creativity thrive. Diversity, Inclusion, Value & Equality (DIVE) At Blue Yonder, we are committed to building an inclusive environment where everyone feels empowered to be themselves. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or related STEM fields

Job Title: Security Architect Identity & Access Management Location: Bengaluru, India Company: Blue Yonder Experience: 10+ years (including at least 5+ years in IAM) Education: Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field About Blue Yonder Blue Yonder is a recognized leader in AI-driven supply chain solutions, trusted by global brands to optimize their digital commerce and supply chain operations. We thrive on innovation, collaboration, and creating technology that powers smarter supply chains. As we continue to strengthen our security posture, we are seeking a Security Architect IAM to own, evolve, and safeguard Blue Yonder s identity landscape, ensuring consistent and compliant IAM controls across the organization s global footprint. Role Scope The Security Architect IAM will play a strategic and hands-on role in defining, implementing, and managing end-to-end identity and access management capabilities for Blue Yonder. This role requires deep technical expertise, leadership acumen, and a strong understanding of cloud-based identity ecosystems, ensuring secure access to critical systems and data. Key Responsibilities Define, develop, and manage a comprehensive IAM strategy, aligned with Blue Yonder s business goals, security policies, and compliance mandates. Design, implement, and enhance authentication, authorization, identity provisioning, access governance, and privileged access management (PAM) solutions, adopting best practices and industry standards. Conduct risk assessments to identify IAM vulnerabilities and define risk mitigation plans. Lead the technical implementation of IAM solutions and provide ongoing oversight to ensure operational excellence. Develop and enforce IAM policies, procedures, and standards to foster consistent security across the enterprise. Ensure IAM solutions adhere to regulatory requirements (GDPR, HIPAA, PCI DSS, SOX) and align with frameworks like NIST-CSF and ISO/IEC 27001. Integrate IAM capabilities with other security solutions (SIEM, endpoint security, etc.) for comprehensive protection. Establish and track Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for the IAM program. Stay updated with emerging threats, technology advancements, and industry trends, adapting the IAM strategy accordingly. Conduct maturity assessments and develop continuous improvement plans for the IAM service. Participate in security architecture reviews and work with enterprise architects to embed IAM controls into broader IT and product architecture. Partner with GRC teams to ensure all IAM-related risks are properly documented and managed, driving remediation where necessary. Collaborate with application development teams to ensure secure-by-design development and deployment of new applications. Required Qualifications & Experience 10+ years of overall cybersecurity experience, with at least 5+ years specifically focused on IAM. Strong background designing and implementing cloud-based IAM solutions (Azure AD, AWS IAM, GCP IAM). Proven expertise across: Active Directory, LDAP, SSO, MFA SAML, OAuth, OpenID Connect Privileged Access Management (PAM) and Identity Governance (IGA) Experience managing IAM programs across hybrid environments (on-prem & cloud). Strong understanding of: Secrets management, encryption, PKI, digital certificates Zero Trust Security models Experience identifying, analyzing, and remediating IAM-related security risks. Knowledge of regulatory requirements (GDPR, HIPAA, SOX, PCI DSS) and experience translating those into practical IAM controls. Demonstrated ability to lead complex IAM projects, collaborating across multiple business units and technical teams. Excellent communication and stakeholder management skills, capable of interacting with both technical teams and business leadership. Preferred Certifications CISM Certified Information Security Manager CISSP Certified Information Systems Security Professional Relevant Cloud Security certifications (Azure Security Engineer, AWS Security Specialty, GCP Security Engineer) Good to Have Skills Experience integrating IAM with: CI/CD pipelines and DevSecOps practices Containerized environments (Kubernetes, Docker) Exposure to distributed tracing and logging tools for IAM services. Experience automating IAM processes for provisioning, deprovisioning, and audit reporting. Be a part of a global leader in supply chain technology. Work on cutting-edge IAM technologies in a cloud-first environment. Partner with cross-functional teams to drive impactful security programs. Join a culture that values diversity, innovation, and continuous learning. Diversity & Inclusion at Blue Yonder At Blue Yonder, we celebrate diversity in all forms. Our DIVE (Diversity, Inclusion, Value & Equity) strategy ensures every associate feels included, respected, and empowered to bring their authentic self to work. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. Qualification : Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field

Job Title: Site Reliability Engineer (SRE) Cloud Platform & Production Pipeline Initiatives Location: Bangalore, India (Office-based role) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI-driven world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission! Job Overview: As a Site Reliability Engineer (SRE), you will play a pivotal role in managing, optimizing, and maintaining Couchbase s cloud infrastructure for Capella, our Database as a Service (DBaaS) platform. You will be responsible for ensuring the reliability and performance of our cloud service while collaborating closely with engineering teams to improve deployment pipelines, security practices, and overall system health. You will work across cloud platforms and multiple tools to provide guidance, mentorship, and contribute to the strategic direction of cloud operations. Responsibilities: Infrastructure Management: Manage, monitor, and maintain the infrastructure for Capella to ensure reliable operations. Security & Compliance: Implement and manage cloud environments in accordance with company security guidelines, including vulnerability management, penetration testing, and compliance requirements (SOC 2, PCI-DSS, GDPR, HIPAA, etc.). CI/CD & Release Pipeline: Collaborate with engineering teams to optimize CI/CD processes, aiming for a highly resilient deployment strategy, ideally with zero downtime. Cloud Optimization: Stay up-to-date with new technologies and industry trends to continuously improve cloud platform architecture and meet the evolving needs of the business. Security Integration: Work with development teams to integrate security scanners within the DevOps lifecycle, enhancing security posture. Leadership & Mentorship: Provide guidance on architecture, code reviews, and technical feedback to improve service reliability, security, cost, and performance. Incident Management: Demonstrate exceptional problem-solving skills, proactively identifying and addressing potential issues before they affect business operations. Collaboration: Partner with development teams, application owners, and stakeholders to integrate best practices and ensure seamless service delivery. Requirements: Experience: 5+ years in Site Reliability Engineering (SRE), DevSecOps, or similar roles, with significant experience working in public cloud environments. Programming & Scripting: Proficiency in languages such as Go, Python, Java, or Ruby. Linux Expertise: High proficiency with Linux operating systems. Kubernetes Management: Experience in managing and maintaining Kubernetes clusters (both self-managed and managed platforms like AWS EKS). Security & Vulnerability Management: In-depth knowledge of security tools and practices (vulnerability management, pen testing, SCA, DAST, SAST), with hands-on experience using tools like Sysdig, Synk, and Blackduck. Cloud Platforms & Tools: Strong experience with cloud platforms (AWS, GCP, Azure) and open-source tools like Artifactory, Jira, Jenkins, Grafana, Prometheus, Datadog, Thanos, etc. Configuration Management: Proficiency with Terraform, Git, and CI/CD platforms (e.g., CircleCI, GitHub, Spinnaker). Networking Security: Solid understanding of TCP/IP, DNS, HTTP, Firewalls, VPNs, and other networking security concepts. Preferred Skills: Availability & Reliability: Knowledge of SLO/SLA, availability, reliability, and performance concepts. Incident Management: Experience with on-call rotations and incident management. Database Experience: Familiarity with databases, particularly Couchbase. Security Certifications: Relevant certifications in security or cloud technologies are a plus. Couchbase reimagines database technology to deliver a fast, flexible, and affordable cloud database platform, empowering developers to build applications with exceptional customer experiences. Trusted by over 30% of the Fortune 100, Couchbase drives innovation and customer success through its Capella platform. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: Access to world-class medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP, retirement planning, and business travel insurance. Career Growth: Focused on your career development and success. Fun Perks: Ergonomic and comfortable office setup, food & snacks for in-office employees, and more!

Principal Architect Identity Management Experience: 14+ Years Education: Bachelor s Degree in Engineering (or equivalent) About Saviynt Saviynt is an identity authority platform that empowers organizations to secure and manage digital access while enabling innovation. As businesses navigate digital transformation and increasing cyber risks, Saviynt s Enterprise Identity Cloud provides unparalleled visibility, control, and intelligence to protect users while ensuring seamless access to essential tools and technologies. Role Overview As a Principal Architect Identity Management, you will be responsible for designing, deploying, configuring, and implementing Saviynt s leading Identity Governance (IGA) solutions based on customer requirements. You will provide technical leadership, consulting expertise, and industry best practices to ensure seamless solution deployment while mentoring junior engineers. Key Responsibilities Strategic Leadership & Solution Architecture Provide thought leadership on IGA solutions, with a specific focus on Saviynt s technology. Develop best-in-class solutions that align with customer functional and non-functional requirements. Serve as a trusted advisor to customers, offering consulting expertise and strategic guidance. Deployment & Implementation Architect, design, and deploy Saviynt s Identity Governance solutions. Lead implementation and integration of Saviynt with critical applications and infrastructure. Ensure compliance with approved lifecycle methodologies, documentation standards, and testing protocols. Troubleshoot and resolve technical issues through debugging, research, and investigation. Collaboration & Technical Oversight Engage directly with customers, ensuring their success through expert guidance. Provide technical oversight and mentorship to mid-level and junior engineers. Train and develop top talent to become Saviynt technology experts. Collaborate with operations and product engineering teams to advocate for new features. Pre-Sales & Business Development Support Offer technical pre-sales support for direct and partner sales teams. Provide real-world expertise in creating solutions, proof of concepts, and implementations. Conduct competitive research to address and dispel customer objections effectively. Contribute to RFP responses and proposals as needed. Process Improvement & Compliance Ensure high-quality solution delivery within the defined timeline and budget. Stay updated with industry best practices, standards, and cybersecurity trends. Adhere to Saviynt s security & privacy policies (Data Classification, Access Control, Incident Response, etc.). What You Bring 14+ years of experience in Identity Governance & Access Management (IGA/IAM). Expertise in User Lifecycle Management, Provisioning, Reconciliation, Access Certification, SOD, and Cloud Security. Strong knowledge of Java/J2EE, SQL, REST/SOAP Web Services, and Directory Services. Experience in solution architecture, customization, and deployment of Identity Management products. Hands-on experience in direct customer interaction, consulting, and advisory roles. Strong technical presentation and communication skills. Proven problem-solving and analytical skills. Experience in pre-sales, RFP responses, and proposal writing. Preferred (Good to Have): Cybersecurity certifications: CISSP, CISA, CISM, CompTIA Security+, CEH, etc. Saviynt or equivalent IGA product certification. High-growth, Platform-as-a-Service (PaaS) company revolutionizing identity security. Tremendous learning opportunities through challenging yet rewarding projects. Collaborative & inclusive work environment where your impact is valued. Work with some of the world s leading enterprises on cutting-edge IAM solutions. Saviynt is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, disability, or veteran status. If you're an experienced IAM Architect with a passion for customer success and innovation, we d love to hear from you! Qualification : Bachelors Degree in Engineering (or equivalent)