Cannyfore Technology is hiring for the following role,Experience: 3 + yrsLocation: Bangalore, WFO in client placeEmployment : Permanent and Contract both are availableNotice period: Immediate to 15 daysInterview process: In-person interview in project client placeIf interested, please share your resume to sowntharya.m@cannyfore.comJD: 3+ Years Mandatory Skills:1. Proficiency in designing and implementing ITX maps and flows.2. Strong knowledge of integration and data transformation techniques.3. Familiarity with scripting languages, SQL, and databases for data processing.4. Experience with Java, JavaScript and SHELL Script for custom scripting in transformations.5. Experience with cloud platforms (e.g., AWS, Azure) and hybrid integration environmentsGood to have (Not Mandatory):IBM ITX certification is a plus.Detailed Job Description :We are seeking a skilled ITX Specialist to design, develop, and maintain data transformation solutions using IBM ITX.The candidate will work with cross-functional teams to enable seamless data integration and support business needs by ensuring accurate and efficient data flow between applications.

Cannyfore is hiring for the following role,Employment: Permanent/ContractLocation: Bangalore, Hyderabad, CoimbatoreExperience: 7+ yrsNotice: Immediate to 15 daysJob SummaryWe are seeking a Tech Lead to own the end-to-end technical implementation of our automated User Access Review (UAR) solution. This role will drive the technical vision, system design, architecture, and documentation across the project, ensuring a robust, scalable, and efficient solution. The ideal candidate is a hands-on leader with deep engineering expertise, strong design skills, and proven experience in delivering large-scale integration projects across enterprise systems (Active Directory, Azure AD, Workday, Salesforce, ServiceNow) who can develop and enforce technical best practices, create detailed documentation, and drive innovation.This role will work with the Engineering, IT, & Cybersecurity team to ensure secure and seamless implementations while maintaining clear technical governance and documentation standards. You will ensure the successful delivery of a scalable, reliable, and maintainable solution.Key Responsibilities Lead the complete technical lifecycle of the UAR automation projectfrom initial concept, design, and development through deployment and post-implementation support. Define and implement the technical vision and system architecture to ensure a scalable, reliable, and maintainable solution. Develop and maintain robust technical documentation, including design diagrams, API specifications, integration workflows, and architecture artifacts. Provide technical direction and enforce best practices for building secure, efficient, and automated integrations between enterprise systems (Active Directory, Azure AD, Workday, Salesforce, ServiceNow). Write high-quality code, conduct rigorous code reviews, and lead troubleshooting efforts to resolve complex technical challenges. Collaborate closely with the Integrations Engineer to design and implement seamless API integrations and data synchronization mechanisms using Azure tools (e.g., Logic Apps, Service Bus, Monitoring). Evaluate alternative technical solutions and drive continuous improvements in system performance, security, and automation efficiency. Mentor and guide the engineering team, fostering a culture of technical excellence, innovation, and accountability. Ensure adherence to industry standards and technical best practices throughout the project lifecycleRequired Skills & Qualifications 7+ years of hands-on technical experience in software development, system integration, and automation. Strong expertise in system architecture, technical design, and the development of large-scale integration projects. Extensive experience with enterprise systems such as Active Directory, Azure AD, Workday, Salesforce, and ServiceNow. Proficiency in developing automated solutions on Azure, including experience with Logic Apps, Service Bus, and related monitoring tools. Proven ability to implement role-based access control (RBAC), manage API integrations, and ensure robust data synchronization. Excellent leadership, communication, and problem-solving skills, with a demonstrated track record of mentoring teams and driving technical projects to successful completion. Strong capability in producing and maintaining high-quality technical documentation and enforcing coding best practices.Preferred Qualifications Previous experience working on UAR or similar process automation projects. Familiarity with cloud-native integration platforms such as Azure Functions, Event Grid, and RESTful API design. Experience with agile methodologies and delivering scalable, cloud-based integration solutions. Certifications in relevant technologies (e.g., Microsoft Azure) is a plus.Ability to rapidly adapt to new technologies and drive technical innovation in a fast-paced environment

Mandatory SkillsJava, Spring Boot, Microservices, Docker , Kubernetes, JavaScript, AngularGood to Have - BTP, Fiori UI5 + CAP/CDS is preferred.Cloud Experience Preferred GCP, AWS or AzureContribute to concept discussion and architecture designUnderstand company strategy and business, design, implement and continuously improve complex backend system to support SaaS system with complex business scenarios, with high security, performance, scalability, and testabilityDesign and implement refactoring and restructuring for complex systemLead best practice for clean and effective code, improve team’s technical levelEDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIESBS or MS degree in Computer Science, a related technical field, or equivalent practical experienceSolid foundation in computer science with strong competencies in Data structures, Algorithms, and Microservices architectureSolid software development skills is a must, detail orientedDatabase and SQL optimization knowledge

Strong proficiency in Python for ML workflows (must-have); familiarity with Java/Scala is a plus.Experience building production-grade ML models for real-time or low-latency systems.Hands-on with scikit-learn, XGBoost, and optionally PyTorch or TensorFlow.Familiar with MLFlow, Airflow, and deploying models using APIs or inference services.Comfortable working in GCP, AWS, or Azure environments.Builds production-ready ML models for bid shaping, audience prediction, and adaptive optimization.Build real-time ML models for bid shaping using OpenRTB signals and auction dynamics.Implement adaptive bidding models that optimize toward a target win rate (e.g., 15%).Develop reinforcement learning or control systems for dynamic pricing and margin adjustment.Collaborate with data scientists to productionize insights into bidding models.Build scalable inference pipelines that operate within latency budgets for real-time bidding.

Expert in Python and SQL for data exploration and modeling.Strong background in statistical modeling, segmentation, and A/B testing.Experience with scikit-learn, pandas, Jupyter, and optional tools like Tableau, Looker, or dashboards.Comfortable working with campaign goals (ROAS, CPA, sales lift) and developing actionable audience insights.Develops insights, audience scoring, and experiment frameworks to identify the highest-performing combinations of segments, channels, and strategies.Design audience insights pipelines using device/app/geo/time/segment data to surface high-performing cohorts.Build LTV, propensity, and uplift models to influence media planning and bidding strategies.Account for seasonal and vertical-specific trends to enrich insights.Define key metrics for optimization (e.g., ROAS, CPA, foot traffic lift).Work closely with traders and marketers to translate business goals into data strategies.

Proven experience managing cross-functional ML/data platform initiatives from kickoff to delivery.Strong background in agile program management, with ownership of roadmap, planning, and risk tracking.Familiar with ad tech, ML, DSPs, or marketing systems is a plus.Skilled at aligning across stakeholders product, engineering, data science, external partners.Excellent communicator; able to operate across time zones and functions with minimal hand-holding.Owns the delivery roadmap, cross-functional alignment, stakeholder communication, and execution tracking.Own delivery of end-to-end real-time bidding optimization and audience insights products.Drive program planning, risk management, and delivery tracking across ML, data, and platform teams.Manage stakeholder expectations from marketing, trading desks, DSPs, and data providers.Interface with external partners (e.g., attribution vendors, DSPs) to align on integrations.Coordinate sprints and milestones across data science, MLE, and engineering teams.