Senior Engineers: Finance Intelligence Platform

@AwaisChaudhry

Hello, I am excited to apply for the Backend Engineer role. I understand you’re building a global financial intelligence platform to map ownership and detect hidden relationships for AML/KYC, with a strict, blueprint-driven, long-term engagement. My approach is to first lock the architectural layer for the core API and data access, define service boundaries, RBAC, and resilient data models, then outline ingestion, normalization, and graph integration plans that scale to multi-million-record datasets. I’ll design a robust, testable API surface (FastAPI or NestJS) with clear data access patterns, a multi-service orchestration strategy, and performance targets (sub-1.5s searches, 500 concurrent users). I’ll pair this with secure, observable infrastructure and a reusable blueprint that the team can execute against in sprint 1 and beyond. Which role are you applying for? What technical questions should I ask to align on the blueprint, data governance, and phased delivery, as well as integration with OpenSearch, Neo4j/Neptune, and Kafka/SQS? Thanks,

@shrec

I am applying for the Backend Engineer role. For this layer, I would implement a modular service architecture with FastAPI microservices, each handling a distinct domain (entities, ownership, relationships) with clearly defined RBAC, to ensure performance and maintainability under high concurrent load. In a previous project, I built a multi-service analytics platform that ingested financial and corporate data, normalized relationships across entities, and served sub-second search results via PostgreSQL and Neo4j, similar to the objectives here. I am confident in executing against a locked blueprint while delivering clean, unit-tested, and production-ready code on a sprint cadence.

@irsolutions

As a seasoned Senior Engineer with a strong background in designing and implementing complex financial intelligence platforms, I understand the critical need for building a robust data infrastructure for AML, KYC, and entity resolution. Your project's focus on mapping ownership structures and detecting hidden relationships aligns perfectly with my expertise in backend development using FastAPI and multi-service architectures. In my previous roles, I have successfully built core API layers and data access patterns that meet stringent performance targets, ensuring seamless user experience. My experience with handling messy real-world data at scale, coupled with entity normalization expertise, makes me a perfect fit for the Data Engineer role you have available. I am excited about the opportunity to contribute to your long-term project and welcome the chance to discuss how my skills and experience can add value to your team. Please feel free to reach out to me to further discuss how we can collaborate effectively and ensure the success of your financial intelligence platform.

@gunslinger

Hi, I’m a senior backend engineer experienced in building scalable APIs and backend systems, and I’ve worked extensively with US-based teams in async environments. 1. Role: Backend Engineer. 2. Architectural decision: I would structure the backend as a FastAPI-based service layer with separate services for ingestion, entity processing, and search. Communication between services would run through queues such as Kafka or SQS so heavy data ingestion and normalization workloads do not impact API response times and the system can scale independently. 3. Relevant system: I’ve built backend systems integrating multiple APIs and data sources for US-based platforms, including work for ZigSig (California) and SmartEngage, focusing on REST APIs, data processing, and scalable backend architecture. I also currently manage backend integrations and infrastructure for santanaleathercare.com. Best, Yuda

@diektech

Hi, This is Elias from Miami. I understand that you are looking to develop a Financial Intelligence Platform that not only meets technical specifications but also delivers actionable insights for your users. The aim is to create a robust system that can efficiently handle financial data while providing a seamless user experience. To build this solution, I would leverage a combination of JavaScript, Python, and Django for backend services, along with PostgreSQL for reliable data storage. Utilizing AngularJS and React.js will ensure a dynamic frontend. I will implement CI/CD practices to streamline updates and maintain performance, ensuring the platform scales as user demands grow. With over 10 years of experience as a senior engineer, I specialize in developing scalable and maintainable systems. My background includes delivering high-quality digital solutions across various industries, focusing on performance optimization and security. Q1: What specific financial metrics or insights do you envision the platform providing to users? Q2: Are there any existing systems or tools that this platform needs to integrate with? Q3: What is the timeline you are considering for the initial deployment and future iterations? Regards.

@OutsourceMan

⭐⭐⭐⭐⭐ Role Applied: Backend Engineer — strong experience with FastAPI, microservice architectures, RBAC, and high-performance API design for data-intensive systems. Key Architectural Decision: Implement a service-oriented architecture where entity resolution, search, and ingestion are isolated microservices communicating via Kafka/SQS. This ensures scalability, fault isolation, and supports sub-1.5s search performance while handling 500+ concurrent users. Relevant System Experience: Built a multi-source intelligence data platform combining PostgreSQL, graph databases, and search indexing for complex relationship analysis and high-volume API queries. Execution Approach: Study and validate the locked architecture blueprint before development. Design optimized data access patterns between PostgreSQL, Neo4j/Neptune, and OpenSearch. Implement FastAPI services with strict RBAC and performance-focused endpoints. Integrate CI/CD pipelines and containerized deployments. Support from CnELIndia & Raman Ladhani: Provide structured engineering workflows, sprint discipline, and code quality standards. Contribute architectural validation and scalable backend implementation. Ensure reliable delivery aligned with weekly demo milestones and long-term platform growth.

@arbu1499

Hi, I’m excited about your project and the chance to contribute to building a global financial intelligence platform. With extensive experience in backend architectures, multi-service APIs, and graph databases, I understand the importance of designing each layer correctly before execution. I’ve built systems handling complex entity relationships, RBAC, and high-concurrency search, which aligns closely with your requirements for fast, reliable, and scalable services. I’m confident I can take ownership of the backend layer and deliver clean, maintainable, production-ready code. Looking forward for your positive response in the chatbox. Best Regards, Arbaz M

@DeveloperStation

Hi there, We’ve built several large-scale web applications with complex data structures and multiple user roles, including a product that handles sensitive data for financial institutions. We understand the importance of strong foundational architecture and have dedicated backend developers who can deliver production-ready code with minimal oversight. In addition to backend expertise, we also provide front-end developers, UI/UX designers, and QA specialists, ensuring you get a fully integrated team rather than just individual resources. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best, Adil

@kareemmaize

Hi there I’m applying for the Backend Engineer role. For a financial intelligence platform that maps ownership structures and hidden relationships across companies, people, and assets, the most critical architectural decision is separating the query layer from the ingestion and normalization pipeline so investigative search remains consistently fast even while large datasets are being processed. I would structure the backend using a service-oriented API layer built with FastAPI or NestJS, where entity data and graph relationships are accessed through optimized query services connected to PostgreSQL and a graph database such as Neo4j. This approach allows complex relationship queries and entity resolution to remain efficient while maintaining strict RBAC and auditability. My process is simple. First review the locked architecture blueprint and define the API boundaries, service responsibilities, and data access patterns. Then implement the backend services responsible for entity queries, relationship traversal, and secure API access. Finally validate performance targets and ensure the service integrates cleanly with the ingestion pipeline and investigative interface. Once the full subsystem scope is confirmed, I will provide the exact timeline and delivery estimate. If this aligns with your expectations, let’s discuss the details in private chat.

@Feriver

Hello, I am applying for the Backend Engineer role. I specialize in designing scalable API architectures using Python and FastAPI with PostgreSQL-based systems. My focus is building structured service layers, efficient data access patterns, and secure RBAC frameworks that support high-concurrency applications and investigative data workflows. One architectural decision I would implement is a service-oriented API layer using FastAPI with PostgreSQL for relational integrity and Neo4j for relationship mapping. This hybrid model allows efficient transactional queries while enabling fast graph traversal for entity relationships, which is essential for ownership mapping and hidden connection discovery. I have worked on data-heavy systems where structured APIs consumed normalized datasets and supported search-driven interfaces with strict performance targets. My approach emphasizes clean service boundaries, optimized indexing strategies, and asynchronous processing so the platform can maintain sub-second search performance even with complex relationship queries. Thanks, Asif

@Dtechonolgy

Drawing from my extensive experience leading a highly skilled team of over 50 developers, our firm is extremely adept at tackling complex projects such as developing financial intelligence platforms. To this effect, we are particularly proficient at utilizing the relevant technologies you requested, such as AWS, PostgreSQL, Docker, and GitHub Actions. As for architectural decisions, I believe in layering and abstracting the core API to promote modularity and reusability. This design pattern improves scalability and makes an immense difference when dealing with multi-service architectures, as it maximizes efficiency and streamlines debugging processes. On a previous project focusing on normalization of messy real-world data, we designed and built a robust data ingestion pipeline for healthcare records using Airflow. We leveraged the power of Apache Avro for schema-based data serialization enabling us to effectively normalize patient data across multiple sources including APIs, file ingestion, and document parsing. This system's core functionality aligns with your requirement of handling complex data pipelines; making our case a strong match. Thanks

@Julian29

"I READ YOUR REQUIREMENTS CAREFULLY AND UNDERSTOOD VERY WELL ABOUT THE PROJECT SCOPE AND CAN START WORKING ACCORDINGLY IN STAGES. With 10+ years of experience in building financial intelligence, AML/KYC, and entity resolution platforms, I can contribute as a Backend Engineer for your global financial intelligence platform. Architectural Decision: For the API layer, I would implement a graph-aware service layer with Neo4j integration and role-based access control (RBAC) baked into each service endpoint. This allows fast traversal of complex ownership networks while enforcing strict user permissions across different jurisdictions, ensuring both performance (<1.5s search) and compliance. Relevant Experience: I have previously designed and implemented a multi-service financial compliance platform that integrated PostgreSQL, Neo4j, and FastAPI to track entities, ownership hierarchies, and risk scoring, serving thousands of concurrent users with low-latency graph queries and secure RBAC enforcement. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PRODUCTION-READY DEPLOYMENT, including unit-tested, reviewed, and deployed services in a staged AWS environment. I eagerly await your positive response. Thanks.

@iosifpeterfi

This is my speciality - DevOps Engineer for designing secure, scalable AWS-based platforms. Hello, I'm Iosif Peterfi, a Senior Systems & Security Engineer with 15 years building resilient blueprints before code. I'm applying for the DevOps Engineer role to lock in a blueprint-driven, secure AWS layer for your financial intelligence platform. I can start right away. Approach: I'd start with a locked, multi-account AWS blueprint: VPCs per environment, IAM RBAC with service accounts (IRSA where EKS is used), KMS-backed secrets, and a dedicated data plane for S3/RDS/OpenSearch. Infrastructure as Code (Terraform + Ansible) plus GitHub Actions CI/CD, with GitOps for deployments to ECS/EKS. I'd set up centralized logging/monitoring (Prometheus/Grafana, ELK stack) and robust backups/DR, TLS, and least-privilege policies. The design would separate control/data planes, enable zero-trust patterns, and include validation tests for drift, security baselines, and compliance (CIS/ISO27001). I'll also integrate data-source migrations and automation hooks (Airflow or Prefect) to validate pipelines before production runs. This aligns with your stack: AWS services, PostgreSQL, OpenSearch, FastAPI/NestJS, React, Docker, and Kafka/SQS. Relevant experience: I've led Enterprise DevOps & governance for the Max Planck Digital Library and built privacy-by-design compute infrastructure (Ethernity Cloud) - with secure CI/CD, IaC, and RBAC at scale. Check my profile for examples.

@avinashdubeyg209

Spotted that you're not looking for code-first people—you need architects who lock the blueprint before touching keyboard. I've designed entity resolution systems for compliance platforms, most recently building relationship mapping across 2M+ corporate records with sub-second query latency. Which layer are you staffing first, the graph store, the entity matching engine, or the compliance workflow layer—that shapes how I'd approach the design phase.

@codefusion53

Hi, I am applying for the Backend Engineer role. For the core API architecture, I would implement a modular service layer using FastAPI with clearly separated domains for identity resolution, entity relationships, and search services. I would enforce RBAC at the API gateway and service layer using token based authentication with fine grained permission checks. This structure keeps services independently scalable while ensuring consistent authorization logic across the platform. For search performance under 1.5 seconds with concurrent users, I would combine PostgreSQL for transactional integrity with OpenSearch for entity indexing and relationship queries. A relevant system I built was a data intelligence platform that aggregated structured and unstructured records from multiple sources, normalized entities, and exposed them through API driven services. The system included data pipelines, search indexing, and investigative dashboards where users could explore relationships across entities and datasets. I am comfortable working within defined architecture blueprints, participating in structured sprint cycles, and delivering production ready services with proper testing and CI workflows. Best, Justin

@GameOfWords

Hi, Palantir-level financial intelligence infrastructure demands engineers who design before they code — and that's exactly the discipline I bring. I'm applying for the Backend Engineer role. My architectural decision: implement RBAC at the API gateway layer using JWT claims with service-level policy enforcement, keeping authorization logic decoupled from business logic for clean auditability across jurisdictions. Closest relevant build: a multi-service AI-powered data platform with FastAPI, PostgreSQL, complex entity relationships, and sub-second search performance under concurrent load. Ownership-driven, sprint-focused, and ready to demo working software every Friday.

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@dvcontact

Hello Sir, Have you ever envisioned building a global financial intelligence platform from the ground up? My focus on designing for performance and scalability ensures robust, future-proof architecture tailored for complex data environments. Let's connect to discuss how my expertise can contribute to your ambitious project. Best, Smith

@CodeAnchors

Greetings, I am excited about the opportunity to contribute to your ambitious project of building a global financial intelligence platform. With my expertise in JavaScript, Python, Django, PostgreSQL, AngularJS, React.js, and FastAPI, I am confident in my ability to add value to your team. Having worked on various backend and frontend development projects, I believe I am well-suited for the role of a Backend Engineer. One architectural decision I would prioritize is designing a robust API layer to ensure seamless communication between different services. In a previous project, I successfully implemented a similar architecture that significantly improved performance and scalability. I am keen on understanding your project requirements in detail and collaborating closely to achieve the desired outcomes. My portfolio showcases my proficiency in handling complex development tasks efficiently. I am eager to discuss how we can align our goals and work together seamlessly. Looking forward to the possibility of contributing to your team and creating a cutting-edge financial intelligence platform. Best regards, Muhammad Anas Khan ⭐⭐ https://www.freelancer.com/u/CodeAnchors ⭐⭐