As an AI/ML Solution Architect, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, MLOps team, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: • Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. • Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. • Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. • Leverage generative AI and large language models (LLMs) to develop innovative applications. • Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. • Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. • Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. • Ensure best practices in AI/ML model development, including versioning, testing, and validation. • Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. • Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field with proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras and experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. • Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. • Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences and experience in leading and mentoring technical teams. • Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

As the MLOps Lead, you will be responsible for leading the deployment and operationalization of AI/ML solutions. You will collaborate with data scientists, engineers, and IT teams to ensure that machine learning models are efficiently deployed, monitored, and maintained. Your role will be crucial in bridging the gap between data science and production, ensuring that our AI initiatives are scalable, reliable, and deliver business value. Responsibilities: • Lead the design, implementation, and management of MLOps pipelines to deploy machine learning models into production. Work closely with data scientists to understand model requirements and ensure smooth integration and deployment. Develop and maintain infrastructure for model training, validation, deployment, and monitoring. Implement best practices for CI/CD pipelines in the context of AI/ML model development and deployment. Ensure scalability, reliability, and performance of deployed models through monitoring and continuous optimization. Leverage containerization and orchestration tools (e.g., Docker, Kubernetes) to manage model deployment environments. Collaborate with IT and DevOps teams to ensure seamless integration of AI/ML solutions with existing systems. Implement and enforce security best practices for AI/ML models and data pipelines. Stay updated with the latest advancements in MLOps tools, frameworks, and methodologies. Provide technical leadership and mentorship to junior team members. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in MLOps, DevOps, or a related field, with a focus on deploying machine learning models. Strong understanding of machine learning, deep learning, NLP, and generative AI techniques. Proficiency with MLOps tools and frameworks such as MLflow, Kubeflow, TensorFlow Extended (TFX), or similar. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Proficiency in programming languages such as Python and familiarity with ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Strong understanding of version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving skills and the ability to design robust, scalable MLOps solutions. Strong communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with big data technologies and tools such as Hadoop, Spark, and Kafka. Familiarity with data visualization tools such as Tableau, Power BI, or similar.

Role & responsibilities Job Summary: We are seeking a skilled SuccessFactors Reporting Analyst to develop, maintain, and optimize reports and dashboards within the SAP SuccessFactors platform. The ideal candidate will have expertise in Advanced Reporting, Canvas reports and Story Reports, with strong skills in data analysis and visualization. Key Responsibilities: 1. Report Development & Maintenance: o Design, develop, and maintain reports using Story Reports, Advanced Reporting and Canvas Reports. o Ensure data accuracy, consistency, and compliance with business requirements. o Optimize existing reports for better performance and user experience. 2. Data Analysis & Insights: o Analyze HR data to identify trends and insights that support business decisions. o Collaborate with HR, IT, and business teams to understand reporting needs. o Provide ad-hoc reports and dashboards for various stakeholders. 3. SuccessFactors Administration & Enhancements: o Configure and customize SuccessFactors reporting modules as per business needs. o Work with the Business team to troubleshoot and resolve reporting issues. o Stay updated with new features in SuccessFactors People Analytics & Reporting. o Employee Central portlet wise knowledge is required. Required Skills & Qualifications: • Experience: 2+ years of experience in SuccessFactors Reporting & Analytics. • Technical Skills: o Hands-on experience with SuccessFactors Story Reports, Canvas Reports. o Employee Central portlet wise knowledge is required. • Soft Skills: o Strong analytical and problem-solving skills. o Excellent communication and stakeholder management abilities. o Ability to work independently and as part of a team. o Experience on Software lifecycle and Support methodologies Preferred Qualifications: • SAP SuccessFactors certification in People Analytics / Reporting. • Experience in Employee Central (EC) • Prior experience in HR Analytics, HRIS, or data governance. Preferred candidate profile

Role & responsibilities 4+ years experience in Workzone or Fiori/SAPUI5 Development New Role Description :Design and developed Fiori applications for HR applications Proficiency in UI5 development and JavaScript. Candidate should have configured and deployed applications on the Fiori Launchpad Candidate should have designed and deployed tile pages Good understanding OData. Hands-on experience with BTP services (e.g., BAS, Build workzone, CAP development) using tools such as Node.js, Express, Java, & Spring Design and build low code/no code applications and Workzone portals Automate processes using SAP BTP Workflow Good To Have Skills: Experience using HR ABAP Experience in Kubernetes preferred Must To Have Skills :SAP UI5, SAP Net weaver Gateway(ODATA), JavaScript, Jquery Preferred candidate profile

Role & responsibilities Role Description: Responsible for the delivery of functional and technical components of compensation management processes (Individual Pay Planning and Variable Pay) using SAP SF Compensation module Document functional and/or technical requirements as an input to application design to gather and challenge business requirement and drive workshops Write and present the detailed functional specification to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications to gather and challenge business requirement and drive workshops Write and present the detailed functional specifications Translate business requirements into solution design aligning to Capgeminis global template and in compliance with SuccessFactors leading practices Configure system in accordance with Solution Design & Configuration Workbook / Business Blueprint Validate development during qualification tests Validate development during qualification tests Validate development during qualification tests Validate development during qualification tests Validate development during qualification tests Validate development during qualification tests Validate development during qualification tests Validate development during qualification tests Prepare and execute test cases, test plans, test scripts Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support Capgemini development team during technical design and development phase Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Support business team during UAT Tests Design / build / test connections to SAP Analytics Cloud (SAC) for Budget Utilization Management tracking Build reports and/or dashboards using native SF reporting functionalities Preferred candidate profile

Role & responsibilities IMPLEMENTATION + SUPPORT Experience of SAP SuccessFactors RCM (Recruitment Management Module) Good knowledge of SuccessFactors RCM RMK CSB Experience in supporting Multi-Country Global Rollouts SAP Certification in RCM RMK CSB would be beneficial Excellent Problem-solving and analytical skills. Excellent Interpersonal & Team Management skills Good To Have Skills SAP SUCCESSFACTORS RCM RMK CSB

Job Title: SuccessFactors Onboarding Overall 2+ years, 1+ years Implementation & Support experience of SAP-SuccessFactors OnB Module At least 1 Implementation and support experience. Experience - Overall 5+ years, 2+ years Implementation & Support experience of SuccessFactors Employee Central with focus on ONB and recruitment At least 2 Implementation and support experience in SF ONB Must Have skills - Certified SuccessFactors Employee Central Good to have skills - SF EC, SF ONB, SF RCM Leading customer workshops for the SF implementation and optimization project. Should be able to communicate experience from implementation projects with different customers Certification in SAP SuccessFactors Employee Central Program Experience with supporting SAP SuccessFactors Onboarding Management To make recommendations in support of the SAP SuccessFactors ONB Analyze Opt Ins and implement the same Ability to think creatively and strategically to make recommendations.

Role: SAP analytics cloud (SAC), Required Qualification: MCA, BCA, computer science, information technology. Certifications in SAP analytics cloud is an advantage We are seeking a skilled SAP Analytics Cloud consultant to join our team. The ideal candidate will have strong technical expertise in SAP analytics cloud (SAC), including SAC planning capabilities and will be responsible for developing and implementing analytical and planning solutions that meet our requirements. This involves working closely with stakeholders to understand business needs and deliver highly-quality analytics and planning solutions. Strong analytical, planning skills, analytic application, attention to detail, and a proactive approach to solving technical challenges. The ideal candidate will have the ability to work both independently and as part of a team demonstrating excellent communication and problem-solving abilities. Should have worked on data modelling, story creation dashboard development, and SAC planning. Proficiency in SAC planning features, including data actions, SAC Calendar, and advanced planning functions, is essential. Experience in scripting within SAC and optimising performance is highly desirable. The candidate should have solid understanding of data integration and data connectivity within the SAP landscape Required Experience: The ideal candidate should have at least 2 to 4 years of hands-on experience in SAP analytics cloud, including data modelling, story creation dashboard development, and SAC planning. Proficiency in SAC planning features, including data actions, SAC Calendar, and advanced planning functions, is essential. Experience in scripting within SAC and optimising performance is highly desirable. The candidate should have solid understanding of data integration and data connectivity within the SAP landscape Roles and Responsibilities: The consultant will be responsible for designing and developing SAP Analytics Cloud solutions including interactive dashboards, analytic application, reports, and planning applications. They will collaborate with business stakeholders to gather requirements and translate them into technical solutions within the SAC environment. The role requires performing data integration and modelling creating visualizations, and implementing planning functions such as data input, calculations, and forecasting.

Business Analyst (BA) in the HR Domain Role Description: As an HR Business Analyst the candidate will play a crucial role in supporting the HR department by analysing data and providing actionable insights that enhance HR strategies and initiatives. The candidate will collaborate with HR professionals and other stakeholders to drive efficiency, improve processes, and contribute to our overall business goals. *Requirements Gathering and Analysis: Collaborate with clients and internal stakeholders to gather and understand HR business requirements. Analyze and document HR processes, workflows, and data needs. *Data Analysis: Collect, analyse, and interpret HR data in the form of requirements provided. Have the experience to convert requirements provided into a feasible technology solution by liasing with various HR and IT teams. *HR Technology Management: Assist in the evaluation, selection, and implementation of HR technology solutions. Ensure data integrity and accuracy within HR systems and databases. *Compliance and Legal Support: Stay updated on HR regulations and compliance requirements. Assist in ensuring HR policies and practices align with legal standards. • Proven experience as an HR Business Analyst or similar role. • Strong analytical skills with proficiency in data analysis tools and software. • Excellent communication and presentation skills. • Knowledge of HR systems and technology. • Understanding of HR best practices, compliance, and regulations.

Role: SuccessFactors Opportunity Marketplace Required Qualification: Bachelor's or Master's degree in any discipline Required Experience: More than 6 years of experience in SuccessFactors Opportunity Marketplace Role Description: Should have 6yrs+ overall experience in SuccessFactors (any module) Minimum 1 project experience in SuccessFactors Opportunity Marketplace Should be certified any SuccessFactors Module Configure and customize the Opportunity Marketplace module to meet specific business requirements. This includes setting up intelligent recommendations, search criteria, and user permissions Ensure seamless integration with other SAP SuccessFactors modules such as Learning, Career Development Planning, and Recruiting Manage and maintain data used for generating intelligent recommendations, including user profiles, skills, and career aspirations Provide technical support and troubleshooting for issues related to the Opportunity Marketplace. This includes resolving integration issues and ensuring system stability Good communication skills and ability to explain solutions in simple language.

Job Summary: We are seeking a skilled SuccessFactors Reporting Analyst to develop, maintain, and optimize reports and dashboards within the SAP SuccessFactors platform. The ideal candidate will have expertise in Advanced Reporting, Canvas reports and Story Reports, with strong skills in data analysis and visualization. Key Responsibilities: 1. Report Development & Maintenance: o Design, develop, and maintain reports using Story Reports, Advanced Reporting and Canvas Reports. o Ensure data accuracy, consistency, and compliance with business requirements. o Optimize existing reports for better performance and user experience. 2. Data Analysis & Insights: o Analyze HR data to identify trends and insights that support business decisions. o Collaborate with HR, IT, and business teams to understand reporting needs. o Provide ad-hoc reports and dashboards for various stakeholders. 3. SuccessFactors Administration & Enhancements: o Configure and customize SuccessFactors reporting modules as per business needs. o Work with the Business team to troubleshoot and resolve reporting issues. o Stay updated with new features in SuccessFactors People Analytics & Reporting. o Employee Central portlet wise knowledge is required. Required Skills & Qualifications: • Experience: 2+ years of experience in SuccessFactors Reporting & Analytics. • Technical Skills: o Hands-on experience with SuccessFactors Story Reports, Canvas Reports. o Employee Central portlet wise knowledge is required. • Soft Skills: o Strong analytical and problem-solving skills. o Excellent communication and stakeholder management abilities. o Ability to work independently and as part of a team. o Experience on Software lifecycle and Support methodologies Preferred Qualifications: • SAP SuccessFactors certification in People Analytics / Reporting. • Experience in Employee Central (EC) • Prior experience in HR Analytics, HRIS, or data governance.

Role: SuccessFactors Talent Intelligence Hub Required Qualification: Bachelor's or Master's degree in any discipline Required Experience: More than 6 years of experience in SuccessFactors Opportunity Marketplace Role Description : Should have 6-8 years overall experience in SuccessFactors (any module) Minimum 1 project experience in SuccessFactors Talent Intelligence Hub Should be certified any SuccessFactors Module Configure and manage the Talent Intelligence Hub, including setting up attributes, behaviors, and proficiency levels Ensure seamless integration with other SAP SuccessFactors modules such as Learning, Career Development Planning, and Recruiting Oversee the import and export of Talent Intelligence Hub entities, ensuring data integrity and accuracy Provide support and training (if needed) to end-users on the functionalities and best practices of the Talent Intelligence Hub Maintain comprehensive documentation of configurations, processes, and troubleshooting steps Good communication skills and ability to explain solutions in simple language.

Data Engineer : You will be responsible for designing, building, and maintaining our data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and a passion for working with data. Responsibilities: Design, build, and maintain our data infrastructure, including data pipelines, warehouses, and databases Ensure data quality and integrity by implementing data validation, testing, and monitoring processes Collaborate with cross-functional teams to understand data needs and translate them into technical requirements Develop and implement data security and privacy policies and procedures Optimize data processing and storage performance, ensuring scalability and reliability Stay up-to-date with the latest data engineering trends and technologies Provide mentorship and guidance to junior data engineers and analysts Contribute to the development of data-driven solutions and products Requirements: 3+ years of experience in data engineering, with a Bachelor's degree in Computer Science, Engineering, or a related field Strong knowledge of data engineering tools and technologies, including SQL, and GCP Experience with big data processing frameworks, such as Spark or Hadoop Experience with data warehousing solutions : BigQuery Strong problem-solving skills, with the ability to analyze complex data sets and identify trends and insights Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders Strong data security and privacy knowledge and experience Experience with agile development methodologies is a plus

Looker Developer You will be responsible for developing and maintaining Looker models, views, and dashboards, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will have a strong background in data analysis, SQL, and LookML, as well as experience in a similar role. Responsibilities: Develop and maintain Looker models, views, and dashboards, ensuring data quality and accuracy Collaborate with cross-functional teams to understand data needs and translate them into Looker features Write complex LookML code to model and manipulate data in Looker Create and maintain documentation for Looker projects Troubleshoot issues and optimize performance in Looker Stay up-to-date with Looker releases and new features Provide training and support to end-users Contribute to the development of data-driven solutions and products Requirements: 2+ years of experience in a Looker Developer or similar role Strong knowledge of SQL and data modeling Experience with LookML and Looker development Experience with data visualization and dashboarding tools Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to work independently and manage multiple projects simultaneously Experience with Agile development methodologies is a plus

As an AI/ML Consultant, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. Leverage generative AI and large language models (LLMs) to develop innovative applications. Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. Ensure best practices in AI/ML model development, including versioning, testing, and validation. Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python, R, and Java. Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.

Job Summary: We are seeking a skilled Microsoft Identity Manager (MIM) professional to design, implement, maintain, and support identity lifecycle management and access provisioning solutions across the organization. The ideal candidate will have hands-on experience with MIM, including integration with Active Directory, Azure AD, and various enterprise systems. Key Responsibilities: Design, implement, and manage MIM solutions for user provisioning, synchronization, and self-service workflows. Configure and support MIM Synchronization Service and MIM Portal. Integrate MIM with Active Directory, Azure Active Directory, HR systems, and other authoritative sources. Develop and manage MIM workflows, policies, sets, and MPRs (Management Policy Rules). Troubleshoot MIM synchronization issues and ensure data integrity across connected systems. Automate identity lifecycle processes (joiner/mover/leaver scenarios). Collaborate with security, infrastructure, and application teams to define and enforce identity governance policies. Develop technical documentation, including architecture diagrams, configuration guides, and operational procedures. Support upgrades, patches, and system health monitoring for MIM environments. Required Skills & Qualifications: 37 years of experience with Microsoft Identity Manager (FIM/MIM). Deep understanding of identity lifecycle, role-based access control (RBAC), and user provisioning. Strong knowledge of Active Directory, Azure AD, LDAP, and Microsoft ecosystem. Hands-on experience with MIM components: Sync Engine, Portal, Service, and Certificate Management. Proficiency in PowerShell scripting and workflow automation. Experience with connected systems and connectors (e.g., SQL, SAP, Oracle, Exchange, Azure AD). Familiarity with IAM and security frameworks (e.g., NIST, Zero Trust). Bachelors degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Experience migrating from MIM to Azure AD provisioning or other modern identity platforms. Exposure to SailPoint, Okta, Ping, or other IAM tools. Microsoft certifications (e.g., SC-300, AZ-104, MS-500) are a plus. Experience with hybrid identity environments and cloud security. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Ability to work independently and as part of a cross-functional team. Commitment to best practices, security, and continuous improvement.

Job Summary: We are seeking an experienced Ping Identity Specialist to design, deploy, and manage identity and access management (IAM) solutions using Ping Identity technologies including PingID , PingFederate , and PingAccess . The ideal candidate will have hands-on experience with implementing Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity management across cloud and on-prem environments. Key Responsibilities: Design, implement, and maintain identity and access solutions using Ping Identity products (PingID, PingFederate, PingAccess, PingOne). Configure and manage SSO , MFA , OAuth , OIDC , and SAML integrations with enterprise and cloud applications. Integrate Ping solutions with Active Directory , Azure AD , LDAP , and other identity stores. Develop custom authentication and authorization policies to support application and business requirements. Lead troubleshooting and resolution of identity and access issues. Support system upgrades, patches, and health monitoring. Collaborate with security, infrastructure, and application teams to design secure identity architectures. Document technical configurations, processes, and procedures. Ensure compliance with security policies and industry standards (e.g., NIST, Zero Trust, GDPR). Required Skills & Qualifications: 37 years of hands-on experience with Ping Identity suite (especially PingID, PingFederate, and PingAccess). Strong understanding of IAM concepts : authentication, authorization, provisioning, SSO, MFA, federation, RBAC. Proficiency in identity protocols: SAML 2.0 , OAuth 2.0 , OIDC , and WS-Federation . Experience integrating Ping with enterprise applications (on-prem/cloud/SaaS). Familiarity with Java, JSON, REST APIs , and PowerShell or scripting for automation. Experience with certificate management , token policies, session management, and adaptive authentication. Bachelor's degree in Computer Science, Information Security, or related field. Preferred Qualifications: Experience with PingOne for Enterprise , PingDirectory , or PingCentral . Experience with CIAM use cases and customer identity workflows . Exposure to other IAM tools (Okta, ForgeRock, SailPoint, MIM). Ping Identity certifications or relevant security certifications (CISSP, SC-300, etc.). Familiarity with DevOps pipelines and containerization (Docker, Kubernetes). Soft Skills: Strong troubleshooting and problem-solving skills. Ability to communicate technical details to both technical and non-technical stakeholders. Self-starter with the ability to lead and execute projects independently. Strong documentation and knowledge-sharing mindset.

Architect and develop robust backend systems that serve as the connective tissue between data sources, AI models, frontends, and external services. Design and scale APIs that power real-time interactions, intelligent automations, and complex AI-driven workflows. Work closely with the Tech Lead and a lean, high-impact team of backend and frontend engineers to evolve a modular, scalable backend that can adapt as our platform grows. Bring deep backend experience, especially in Node.js, but with transferable knowledge from languages like .NET or Java. Build backend with GCP services like Cloud Run, BigQuery, and GCS. Collaborate on infrastructure design, deployment, and scaling strategies. Make tradeoffs that balance speed, stability, and intelligence. Bring curiosity, hunger, and creativity to everything you do. Explore, prototype, and keep us on the frontier of AI tooling. Build integrations with third-party SaaS platforms, data APIs, agents, connectors, and smart automations that work seamlessly and reliably.