qode.world

Software Engineer

• Design and develop solutions using SharePoint (Online/On-Premise)
• Create and maintain **InfoPath forms** and workflows
• Customize SharePoint sites, lists, libraries, and web parts
• Develop and integrate workflows using SharePoint Designer / Power Automate
• Collaborate with business stakeholders to gather and analyze requirements
• Ensure performance, security, and scalability of SharePoint applications
• Troubleshoot and resolve SharePoint-related issues

SharePoint Developer

Data Engineer

• Partner with business and technology stakeholders to analyze enterprise data requirements and translate them into scalable data engineering and analytics solutions.
• Design, build, and support end-to-end data pipelines, including data ingestion, preprocessing, normalization, transformation, quality checks, and loading across complex data ecosystems.
• Lead and contribute to ETL/ELT development using technologies such as Spark, Hadoop, Hive, Kafka, Python, and Scala, ensuring performance, reliability, and data accuracy.
• Work with distributed data platforms including HDFS, HBase, Sqoop, Flume, and MapReduce, supporting both batch and real-time processing use cases.
• Apply strong data modeling and data design principles to support analytics, reporting, regulatory, and operational needs.
• Collaborate with enterprise architects on logical and physical data models aligned with PNC standards.
• Support and implement data quality frameworks, including profiling, validation rules, reconciliation, and monitoring to ensure trusted and compliant data.
• Collaborate with cross-functional teams to ensure solutions align with enterprise architecture, security, governance, and regulatory requirements.
• Contribute to cloud-based data solutions, particularly on AWS, supporting data processing, analytics, and ML workloads.
• Collaborate with data scientists and ML engineers to enable machine learning and AI use cases, including feature engineering, data preparation, and pipeline integration.
• Support development and deployment of ML and AI systems, including exposure to LLM-based solutions, feature stores, and ML lifecycle management tools.
• Participate in or support MLOps practices, including model deployment, monitoring, retraining pipelines, and integration with platforms such as SageMaker, MLflow, Kubeflow, or similar tools.
• Work in Agile delivery environments, actively participating in sprint planning, stand-ups, reviews, and retrospectives using tools such as Jira.
• Serve as a client-facing consultant, coordinating across the SDLC and communicating technical concepts clearly to both technical and non-technical stakeholders.
• Contribute to solutioning, estimations, POCs, and client proposals, helping shape data, analytics, and AI modernization initiatives.
• Mentor junior team members, support onboarding, and promote best practices in data engineering, analytics, and platform design.
• Foster collaboration across teams to support continuous improvement and delivery excellence.

Enterprise Data Architect

Backend Engineer

• Design, build, and maintain **C#/.NET 6+** microservices and RESTful APIs.
• Develop cloud-native workloads on **AWS** (ECS/EKS/Lambda, API Gateway, SQS/SNS, DynamoDB/RDS, S3, CloudWatch).
• Implement data models for **portfolio, positions, transactions, orders, entitlements, performance, fees**, and **reporting**.
• Integrate with custodians, market data providers, CRMs, and downstream analytics (ETL/ELT).
• Ensure **security/compliance** (OAuth2/OIDC, encryption, audit trails, PII handling).
• CI/CD with **GitHub Actions/Azure DevOps/Jenkins**, containerization with **Docker**, and **IaC** (Terraform/CloudFormation).
• Partner with Product/Compliance to meet regulatory and SLA requirements.

.NET Developer

Data Analyst

• Analyze large volumes of Payments transaction data to identify trends, anomalies, and business insights.
• Write complex, high-performance queries using advanced SQL (joins, CTEs, window functions, performance tuning).
• Develop data transformation and analytics scripts using Python (Pandas, NumPy, data wrangling).
• Create dashboards, reports, and performance metrics for business stakeholders.
• Partner with Payments, Risk, Compliance, and Operations teams to support reporting and data-driven initiatives.
• Perform data validation, reconciliation, and quality checks across Payments systems.
• Support regulatory and operational reporting requirements.
• Document business logic, data definitions, and analytics methodologies.

Senior Data Analyst – Payments

AI Engineer

• Design and architect AI-enhanced solutions integrating SAP data, external cloud data sources (e.g., Google BigQuery, Amazon Redshift), and local file-based inputs
• Lead development of automation tools and bots using Generative AI (e.g., Amazon Bedrock, custom GPTs, Amazon Lex) to interact with APIs, databases, and back-end systems for real-time data processing and response
• Collaborate with functional and business teams to gather requirements, define logic, and modularize business processes for AI-assisted code generation
• Develop intelligent frontend tools using Python, VBA, and Excel to streamline and automate business workflows
• Build, test, and deploy predictive models using machine learning and statistical techniques (forecasting, regression, simulation, etc.)
• Define and maintain coding standards, Git-based repositories, and CI/CD pipelines for AI and automation development
• Monitor and troubleshoot solution performance across SAP and non-SAP environments; ensure high availability and scalability
• Drive innovation by applying AI and cloud services to modernize business processes such as Order-to-Cash (OTC) and Procure-to-Pay (P2P)
• Oversee development of reusable code modules and AI frameworks; mentor junior Python developers
• Ensure secure and efficient integration of AI services with AWS, SAP systems, and third-party applications
• Maintain thorough documentation of design decisions, architecture, and processes
• Stay updated on evolving AI tools, LLMs, and cloud platforms to continually improve solution capability

Senior AI Developer

• Lead and mentor a team of backend engineers across multiple functional domains.
• Provide technical direction and ensure alignment with architecture standards and engineering best practices.
• Review solution designs, code quality, and implementation approaches — promoting clean architecture, resilient microservices, and AI‑enhanced development patterns.
• Guide the team in diagnosing complex technical challenges, using both traditional analysis and AI-powered debugging or observability tools.
• Support planning, estimation, and technical decision-making within the engineering team.
• Design and develop backend services using Java and modern backend frameworks (e.g., Spring Boot).
• Define and implement microservices-based architecture and API-driven systems.
• Ensure backend services are scalable, secure, resilient, and maintainable.
• Drive best practices in backend development, including maintainable system design, automated testing, code quality, API governance, performance optimization and documentation.
• Work closely with DevOps teams to support CI/CD pipelines, incorporate intelligent automation, and ensure stable, secure deployment environments.
• Integrate AI-assisted development practices into coding, testing, documentation, code reviews, and defect prevention workflows.
• Design backend systems supporting banking products and financial transaction processing.
• Build and maintain services related to payments, card processing, financial operations, and core banking functions.
• Ensure backend implementations comply with financial industry standards and security requirements.
• Collaborate with business and product teams to translate banking and financial requirements into technical solutions.
• Work directly with client stakeholders, architects, and product owners to understand business processes, requirements and define technical solutions.
• Challenge and clarify requirements with curiosity dig deep into the "why" behind business needs.
• Participate in architecture discussions and technical workshops with client teams.
• Communicate technical designs, trade-offs, and solutions clearly to both engineering teams and non-technical stakeholders.
• Support project delivery by ensuring technical risks are identified and mitigated early.

Technical Lead – Backend

Security Engineer

• Planning, implementing, managing, monitoring, and upgrading security measures for the protection data, systems, and environment.
• Troubleshooting solutions for security challenges.
• Responding to all system and/or security breaches.
• Ensuring that data and infrastructures are protected by recommending and enabling the appropriate security controls.
• Participating in the change and configuration management process.
• Testing and identifying network and system vulnerabilities.
• Daily administrative tasks, reporting, and communication with the relevant departments.
• Research weaknesses and find ways to counter them.
• Develop best practices and cyber security standards.
• Utilize SIEM/SOAR/XDR/EDR and various other emerging tools (ConnectWise, Security Onion, Sentinel One, Microsoft Sentinel, SureShield, CrowdStrike, DUO, etc.) to monitor alerts and security events of client networks and systems.
• Strong knowledge of common cloud platforms with Microsoft Azure being preferred.
• Continually improve cyber security expertise.

Cyber Security Engineer

Project Manager

• Own delivery of assigned projects: scope control, schedule, budget, quality, and risk.
• Lead integration work with multiple external vendors (core banking, market data, payment gateways, cloud providers).
• Represent client interests when negotiating with vendors (pricing, SLAs, funding programs such as AWS).
• Manage subcontractors: selection, onboarding, performance monitoring, and invoices.
• Run regular client governance (status, escalations, acceptance criteria, UAT).
• Produce and maintain project artefacts: plans, RAID logs, integration specs, cutover plans.
• Ensure compliance with client security and regulatory requirements relevant to banking/securities.
• Coach and coordinate cross-functional engineering teams and BAs.

Product Manager

• Define and execute the IAM product roadmap covering authentication, authorization, identity lifecycle, and access governance.
• Drive adoption of modern authentication standards such as passwordless authentication, adaptive MFA, and risk-based authentication.
• Identify opportunities to enhance security posture while improving user experience across digital channels.
• Lead delivery of core IAM capabilities including: Authentication (Multi-Factor Authentication (MFA), Adaptive / Risk-Based Authentication, Passwordless Authentication)
• Access Management (Single Sign-On (SSO), Identity Federation, Role Based Access Control, Attribute Based Access Control)
• Secure Access & Browsing (Secure browsing and session protection, Continuous authentication, Behavioral analytics driven access decisions)
• Work with cybersecurity and risk teams to implement risk-based authentication models that dynamically adjust authentication requirements based on: Device posture, Location and network, User behavior, Transaction risk
• Ensure compliance with regulatory frameworks (PCI, SOC2, NIST, Zero Trust architecture principles).
• Define and manage product backlog, epics, and user stories for IAM initiatives.
• Partner with engineering teams to ensure secure and scalable implementation.
• Lead Agile ceremonies including sprint planning, backlog grooming, and release planning.
• Evaluate and integrate leading IAM platforms such as: Okta, Ping Identity, ForgeRock, Microsoft Entra ID, Auth0, CyberArk.

• Lead end-to-end SAP S/4HANA implementation and rollout projects, including: Solution design, System configuration, Testing and deployment, Go-live and hypercare support
• Conduct fit-gap analysis and recommend best-practice, scalable solutions aligned with business needs.
• Act as the primary functional expert, especially in: Service Management (CS/SM/PM), Sales & Distribution (SD)
• Engage with business stakeholders to: Understand customer-specific requirements, Translate business needs into technical specifications, Drive alignment between business and IT teams
• Support eCommerce integrations, particularly: Integration between SAP backend systems and frontend/web applications, Customer ordering and digital sales processes
• Collaborate closely with technical teams (ABAP, Integration, Basis) for seamless delivery.
• Facilitate: Client workshops, User training sessions, Change management initiatives
• Provide post-implementation support and continuous improvement recommendations.
• Stay updated on SAP S/4HANA roadmap, innovations, and industry trends.
• Mentor and guide junior consultants within the SAP practice.

Senior SAP S/4HANA Services Consultant

Systems Engineer

• Bridge the gap between business needs and technology solutions
• Work closely with stakeholders, developers, and project managers
• Analyze business processes and gather requirements
• Support system implementation and optimization

Business Systems Analyst

• Lead strategic initiatives in Medical Affairs to support a shift toward a patient-centric healthcare model.
• Utilize machine learning and predictive analytics to enhance productivity, efficiency, and patient experience in Clinical Trial and Patient Safety programs.
• Serve as a Product Manager within Digital Enablement and Therapeutic Area teams, supporting the Commercial Portfolio group in achieving business objectives.
• Collaborate with cross-functional teams including clinical, commercial, data science, and IT to deliver scalable digital solutions.
• Analyze internal and external healthcare ecosystems to identify opportunities for innovation and improved patient engagement.
• Support development and implementation of digital platforms and business tools to streamline processes and improve operational performance.
• Drive data-driven decision-making to optimize business outcomes and improve healthcare delivery.

Scrum Master

• Lead and facilitate Agile/Scrum ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Support teams working on API development, microservices, and system integrations.
• Collaborate with product owners, developers, QA teams, and stakeholders to ensure successful delivery of API-based solutions.
• Remove impediments and help teams stay focused on Sprint goals and delivery timelines.
• Monitor team performance, velocity, and Agile metrics to drive continuous improvement.
• Ensure alignment between business requirements and technical implementation for API and integration projects.
• Promote Agile best practices, transparency, and collaboration across teams.
• Coordinate with multiple teams to manage dependencies in complex integration environments.

Senior Scrum Master

Full-stack Engineer

• Build and maintain features across CLI, backend, and frontend components
• Take ownership of projects from conception through deployment
• Help establish scalable engineering practices
• Collaborate closely with product management

Onboarding Specialist

• Act as the primary point of contact for live clients, addressing any queries or issues promptly and effectively.
• Provide exceptional customer service and support to maintain strong client relationships and ensure satisfaction.
• Manage the creation of onboarding requests and setups for new clients, ensuring all necessary documentation and processes are completed accurately and efficiently.
• Coordinate with internal teams to facilitate the onboarding process and ensure timely setup of products and services.
• Coordinate operational activities for the setup of products and services, ensuring that clients are "test ready" for seamless testing and integration.
• Collaborate with cross-functional teams to address any operational challenges and streamline the setup process.
• Provide warranty support to new production clients, addressing any issues or concerns that arise after implementation.
• Work closely with technical teams to troubleshoot and resolve technical issues, ensuring minimal disruption to client operations.
• Maintain regular communication with clients to ensure their needs are met and expectations are exceeded.
• Build and nurture strong relationships with clients, serving as a trusted advisor and advocate for their success.

SharePoint Developer

Enterprise Data Architect

.NET Developer

Senior Data Analyst – Payments

Senior AI Developer

Technical Lead – Backend

Cyber Security Engineer

Project Manager

Product Manager

Senior SAP S/4HANA Services Consultant

Business Systems Analyst

Product Manager

Senior Scrum Master

Software Engineer

Client Onboarding and Support Associate