qode.world

Solutions Engineer

• Design and architect secure, scalable AWS solutions for core banking, digital banking, payments, risk management, fraud detection, and analytics platforms.
• Translate business, regulatory, and security requirements into compliant cloud architectures ensuring adherence to PCI-DSS, SOX, GDPR, SOC 2, Basel III, and local financial regulations.
• Architect secure network foundations using Amazon VPC (subnets, Security Groups, NACLs, NAT Gateways, VPC Endpoints, Transit Gateway) and implement least-privilege access using IAM, IAM Identity Center, and IAM Access Analyzer.
• Implement encryption and secrets management strategies using AWS KMS, Secrets Manager, and Certificate Manager for data protection at rest and in transit.
• Design end-to-end MLOps pipelines using Amazon SageMaker (Pipelines, Model Registry, Projects, Feature Store, Clarify, Model Monitor) for automated model training, deployment, bias detection, and monitoring.
• Architect Generative AI solutions using Amazon Bedrock (foundation models from Anthropic, Meta, Cohere, AI21 Labs, Stability AI), Bedrock Guardrails for content filtering and hallucination prevention, Bedrock Knowledge Bases for RAG implementations, and Bedrock Agents for task automation.
• Design intelligent search and retrieval systems using Amazon Kendra (GenAI Index) for enterprise search, document discovery, and semantic search integrated with Bedrock Knowledge Bases and Amazon Q Business.
• Configure model customization and fine-tuning strategies using Bedrock Custom Model Import, prompt engineering, and Retrieval Augmented Generation (RAG) patterns with proprietary enterprise data.
• Implement AIOps and observability using Amazon DevOps Guru, CloudWatch (anomaly detection, Container Insights, Lambda Insights), X-Ray, and distributed tracing capabilities.
• Design high availability and disaster recovery solutions across multiple regions using Aurora Global Database, DynamoDB Global Tables, S3 Cross-Region Replication, and Route 53 failover.
• Lead application and data migrations from on-premises to AWS using Database Migration Service, Application Migration Service, and Storage Gateway.
• Architect containerized workloads using Amazon ECS, EKS, Fargate, and ECR with security scanning and orchestration best practices.
• Collaborate with InfoSec, Risk, Compliance, and Audit teams to implement security guardrails, conduct threat modeling, and maintain regulatory compliance.
• Enforce AWS Well-Architected Framework principles and guide DevOps teams on CI/CD pipelines using CodePipeline, CodeBuild, CodeDeploy, and Infrastructure as Code (CloudFormation, CDK, Terraform).
• Implement governance and continuous compliance using AWS Config, Audit Manager, conformance packs, and centralized logging with CloudWatch Logs and OpenSearch.
• Optimize costs using Cost Explorer, Budgets, Savings Plans, Reserved Instances, Spot Instances, and S3 lifecycle policies.
• Design data lakes and analytics platforms using S3, Glue, Athena, EMR, Kinesis, and Redshift for real-time and batch processing.
• Implement centralized backup strategies using AWS Backup and automate operational tasks using Systems Manager, EventBridge, and CloudFormation.
• Document architecture designs, security controls, threat models, disaster recovery runbooks, and maintain architecture decision records for audit purposes.

AWS Solutions Architect

• Lead the design and development of end-to-end enterprise solutions, including high-level and low-level design documents and architecture diagrams.
• Select the appropriate technology stack, leveraging expertise in Java, Spring Boot, microservices architecture, and cloud platforms (AWS and Azure) to build robust, scalable, and cost-efficient applications.
• Drive cloud transformation initiatives, including migrating on-premises applications to the cloud and integrating complex systems.
• Ensure all solutions comply with the regulatory requirements (e.g., data privacy, security standards) and implement robust security measures, including identity and access management, encryption, and network security.
• Provide technical guidance and mentorship to development teams, conducting code and architecture reviews to ensure alignment with architectural principles and best practices.
• Collaborate with cross-functional teams, including business analysts and project managers, to align technical solutions with business goals.
• Evaluate new and emerging technologies, conducting proofs-of-concept (PoCs) to validate assumptions and drive continuous improvement in products, processes, and tools.

Solution Architect

Backend Engineer

• This individual will be responsible for designing modern applications using AWS technology Stack like AWS DynamoDB, AWS S3, .Net Core and Angular.
• Must be hands-on with designing and leading technical teams for the development and can lead DevOps teams to set up deployment pipelines, and with a very strong ability to communicate with stakeholders.
• Ability to explain the benefits and differences between legacy vs modern applications such as monolithic vs micro apps.

.Net Developer

Product Manager

• Own and manage the product backlog, ensuring items are clearly defined, prioritized, and aligned with business goals
• Work closely with stakeholders in Wealth Management, Trading, and Operations to gather and refine business requirements
• Translate business needs into user stories with clear acceptance criteria
• Provide functional expertise in IBOR, trade lifecycle, positions, transactions, and valuations
• Collaborate with Scrum Masters, Developers, QA, and Architects throughout the Agile delivery lifecycle
• Participate in sprint planning, backlog grooming, reviews, and retrospectives
• Ensure regulatory, compliance, and data accuracy requirements are met
• Support UAT planning, execution, and sign-off
• Act as the primary point of contact for product-related queries and decisions

Product Owner

Engineering Manager

• Drive and coach Agile teams to deliver on engineering standards, sprint backlogs and plans, engineers’ responsibilities and performance management, code quality, adherence to development guardrails, and testing;
• Drive the execution and delivery of engineering goals by collaborating with many cross-functional teams, architects, and product managers;
• Drive technology roadmap;
• Be a part of the overall architecture and key components design for the current and future framework
• Be the voice of reason between speed and quality;
• Coach engineers to be T-shaped, versatile, and take responsibility outside their core disciple;
• Own remediation of technical debt;
• Keep up-to-date with modern development technologies and methodologies;
• Be responsible for the full life-cycle development process and the deliveries of a team;
• Empower the product engineering team to be self-sufficient and disciplined;
• Lead initiatives for implementing efficient development and delivery processes;
• Motivate the product team to go above and beyond with continuous delivery and innovation;
• Execute and update the career path development for engineering team members, working with the HR department;

Engineering Manager – Fintech/Bank

• Design, evaluate, consult, and deploy end-to-end Customer Service Experience solutions, including omnichannel platforms (chat, voice, in-app messaging, email), case management systems, workflow engines, and customer engagement tools that ensure scalability, resilience, and high availability
• Architect API-first and event-driven integrations between customer service platforms and core banking systems, CRM, identity systems, and operational platforms to deliver seamless customer journeys.
• Design and implement AI-driven customer service capabilities such as conversational bots, agent assist, case classification, summarisation, and knowledge retrieval while ensuring security, privacy, and responsible AI usage.
• Define scalable case lifecycle, SLA management, escalation, and automation strategies to reduce manual effort and improve first-contact resolution.
• Ensure customer service platforms meet non-functional requirements including performance, reliability, availability, and observability. Proactively identify architecture improvements to optimise cost-to-serve and system efficiency.
• Implement architecture patterns that ensure data protection, access control, auditability, and compliance with banking and regulatory requirements across customer-facing and internal systems.
• Work closely with Customer Experience, Operations, Product, Engineering, Data, and Security teams to translate business needs into clear, actionable solution designs.
• Provide architectural guidance, troubleshoot complex platform issues, and stay updated with industry trends, AI advancements, and best practices in customer service technology.

Solution Architect – Customer Service Experience

QA Engineer

• Product Thinking & Requirement Analysis: Understand system specifications, business requirements, and design documents. Anticipate user issues and suggest improvements from a product perspective.
• Ownership & Proactive Quality Management: Take full ownership of product quality for assigned modules/components. Identify risks, gaps, and ambiguities proactively, and communicate early to the team.
• Design and execute tests across Functional, Regression, Integration, API, Mobile, Component, Database, Performance, and Security testing.
• Performance & Security Testing: Conduct basic performance, load, and security testing to ensure reliability and robustness of applications, APIs, and databases.
• Documentation & Knowledge Sharing: Prepare detailed test reports, user guides, and video tutorials. Share QA best practices and mentor team members to improve team-wide quality.
• Client Support & UAT Facilitation: Support clients during User Acceptance Testing (UAT), ensure smooth product acceptance, and promptly address issues.
• Cross-Functional Collaboration: Work closely with product managers, developers, and designers in Agile/Scrum teams. Manage multiple projects/modules and ensure quality delivery across all stages of the SDLC.
• Continuous Learning & AI Empowerment: Stay updated on industry trends, emerging QA tools, and AI-driven solutions. Apply AI and automation creatively to optimize testing productivity and quality outcomes.

Quality Assurance Engineer – QA/QC

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.

Project Manager – Financial Services, Banking, Securities

Data Scientist

• Contribute to data science projects from requirements gathering to delivery for internal and external stakeholders.
• Propose solutions to business problems and ensure technical delivery aligns with business objectives.
• Ensure data reliability and conduct data analytics and predictive modeling leveraging statistical and machine learning techniques, with continuous model validation, anomaly detection, and performance optimization to enhance the outcomes.
• Coordinate with team members on project tasks and timelines.
• Design and implement solutions including model development, deployment.
• Support and collaborate with other Data Scientists and cross-function team members through knowledge sharing and code reviews.

Mid Data Scientist

• Product Ownership: Own and define the vision, roadmap, and delivery of enterprise data products serving wealth and asset management domains.
• Data Modernization: Lead initiatives modernizing data architectures (IBOR, ABOR, Client Master, Account Master, Security Master) on cloud-based platforms.
• Capital Markets Data Expertise: Drive the ingestion and management of transaction feeds, position feeds, and custodian data to enable a unified and accurate data ecosystem.
• Stakeholder Collaboration: Partner with business, technology, and operations teams to translate investment and operations needs into actionable data product requirements.
• Roadmap & Prioritization: Manage product backlogs aligned with business priorities, emphasizing scalability, performance, and data quality.
• Data Governance & Quality: Define and enforce standards for data ownership, lineage, and stewardship across investment and reference data domains.
• Cloud & Architecture Leadership: Collaborate with architecture teams to implement cloud-native data solutions (e.g., Snowflake, AWS, Azure) and adopt modern design principles such as data mesh and data fabric.
• Delivery Management: Ensure timely delivery of high-impact features using agile practices, coordinating across engineering, QA, and business teams.
• Business Partnership: Serve as the domain SME supporting front, middle, and back-office functions including trading, portfolio management, accounting, and performance reporting.

Director – Data Product Owner

Scrum Master

• Responsible for building a new scrum team for the delivery of one of our new fintech products.
• Critical responsibility for the team and for optimal flow of work to DONE.
• Setting the pace for delivery and being proactive in planning and forecasting upcoming deliverables.
• Demonstrate pragmatism in your approach and be sensitive to the environment that we operate in.
• Using your skills and knowledge to appropriately influence the delivery approach.

Technical Scrum Master

Financial Planning and Analysis

• Support banking and financial services finance transformation initiatives.
• Client-facing role requiring strong stakeholder management and executive communication skills.
• Translate complex inputs into clear, executive-ready narratives and deliverables.
• Collaborate with senior leaders to drive outcomes.

Financial Consultant

Data Engineer

• Comments: Only GC and USC, H4 EAD and L2 EAD and H1B Transfer
• Preferred Location: Cleveland or Pittsburgh.

Senior Data Engineer

Platform Engineer

• Integrate LoRaWAN devices (like The Things Stack or ChirpStack), configure OTAA/ABP, device profiles, and payload decoding.
• Implement uplink/downlink workflows using MQTT and Webhooks, and handle device lifecycle management and telemetry ingestion.
• Design and build stateless IoT ingestion APIs, decode sensor payloads (CayenneLPP / custom binary), and enrich telemetry with metadata and timestamps.
• Implement message streaming and buffering (MQTT / Queue-based).
• Design time-series data models for telemetry, implement and optimize PostgreSQL / TimescaleDB, and manage hot vs cold data storage strategies.
• Enable historical data exports for analytics and ML.
• Build secure REST APIs for device management, vehicle tracking, telemetry access, and event & alert handling.
• Support dashboard and map-based visualization systems and integrate with mapping services (OpenStreetMap / Mapbox).
• Prepare data pipelines for anomaly detection, route analysis, and battery health prediction.
• Collaborate with data scientists on feature engineering and support batch training and real-time inference APIs.
• Enforce LoRaWAN security best practices, implement API authentication (JWT / OAuth), and ensure encryption at rest and in transit.
• Design for fault tolerance and horizontal scalability.

IoT Platform Engineer

Business Analyst

• Apply strong AML domain knowledge to support transaction monitoring, customer risk, and regulatory reporting initiatives.
• Collaborate with Compliance and Financial Crimes teams to translate regulatory requirements into data and system specifications.
• Develop and maintain a deep understanding of the OFSAA data model, including staging, processing, and reporting layers.
• Perform source-to-target data mapping between upstream source systems and OFSAA tables.
• Document transformation logic, data rules, and business assumptions.
• Create and maintain end-to-end data lineage documentation across source systems, OFSAA, and downstream reports.
• Ensure documentation meets internal audit, regulatory, and governance standards.
• Build and maintain a customization inventory for OFSAA implementations.
• Perform regression impact analysis for OFSAA upgrades, patches, and configuration changes.
• Identify impacted objects, reports, mappings, and downstream dependencies.
• Lead and support UAT planning, including test strategy, test scenarios, and test case creation.
• Coordinate UAT execution with business, compliance, and QA teams.
• Track defects, manage triage, and support issue resolution.
• Perform pre- and post-upgrade reporting validation to ensure data accuracy, completeness, and consistency.
• Validate AML reports, metrics, and regulatory outputs against expected results.
• Support audit and compliance inquiries related to reporting accuracy.