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About BTSE: BTSE Group is a global leader in fintech and blockchain technology, anchored by threecore business pillars: Exchange, Payments, and Infrastructure Development. Servingover 100 corporate clients worldwide, we provide white-label exchange and paymentsolutions. Our offerings encompass everything from exchange infrastructure hostingand development to custody, wallets, payments, blockchain integration, trading, andmore.We are looking for talented professionals in marketing, operations, customer support,and other departments. The roles offered may be on-site, remote, or hybrid, incollaboration with our local partner. About the opportunity: We are seeking a Senior Software Engineer who excels at the intersection of technicalexecution and strategic problem-solving. This is an Individual Contributor (IC) role with aclear growth trajectory as our team and business operations continue to scale.In this role, you are a technical partner to the business. You will take the lead in discoveringoperational challenges within the organization, identifying hidden pain points, andtranslating them into robust technical solutions that improve internal processes. We valueengineers who are proactive, independent, and have a strong desire to explore new toolsand methodologies to drive organizational excellence.ResponsibilitiesProactively identify and lead the resolution of business challenges by translatingcomplex operational needs into streamlined technical roadmaps that improvecompany-wide efficiency. Design and maintain high-performance Web Applications and Microservicesfollowing MVC architecture using Python (FastAPI) and HTML/JavaScript. Architect and implement internal services and integrations following REST bestpractices to ensure long-term scalability and maintainability. Act as a bridge between technical and business teams, effectively communicatingthe value of technical solutions to non-technical stakeholders to ensure alignmentand buy-in. Continuously research and adopt new tools or methodologies to automate high-touch manual processes and resolve persistent business pain points. Manage the complete software development lifecycle, from initial discovery anddata schema design to deployment and Unix-based operational support.Requirements5+ years of backend development experience with Python and / or Java, includingdeep knowledge of modern asynchronous frameworks (preferably FastAPI). Proven experience building integrated web applications using REST APIs, HTML, andJavaScript. Practical understanding of MVC architecture and a commitment to REST bestpractices. Advanced proficiency in modern SQL (PostgreSQL), with the ability to designschemas and optimize queries for complex business logic and data integrity. Solid experience with Unix/Linux systems for development, debugging, andoperational management. Practical experience with Docker and GitLab CI/CD for containerization andautomated delivery. A proactive mindset with the ability to independently discover challenges and drive high-impact solutions in a fast-paced environment. Strong communication skills with the ability to articulate technical concepts to both technical peers and non-technical business partners.Nice to havePrior experience in Fintech or Crypto industries. Familiarity with Treasury Management or Compliance (KYC/AML) systems. Experience in building and scaling internal business automation tools. A passion for staying up-to-date with the latest developments in the Python andDevOps ecosystems.#LI-MC1

About BTSE: BTSE Group is a global leader in fintech and blockchain technology, anchored by threecore business pillars: Exchange, Payments, and Infrastructure Development. Servingover 100 corporate clients worldwide, we provide white-label exchange and paymentsolutions. Our offerings encompass everything from exchange infrastructure hostingand development to custody, wallets, payments, blockchain integration, trading, andmore.We are looking for talented professionals in marketing, operations, customer support,and other departments. The roles offered may be on-site, remote, or hybrid, incollaboration with our local partner. About the opportunity: We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job. We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale. Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, on-chain blockchain data, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect. You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing. This is an end-to-end ownership role. No handoffs.ResponsibilitiesBuild and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service Negotiate contracts and manage commercial relationships with data providers Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven) Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel Build tooling that makes adding the next data source faster than the last one Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you fasterRequirements**You've done this before:**- 5+ years building data pipelines that run in production, 24/7, with real SLAs- Deep hands-on experience with SQL databases and time-series data- Python as your primary language, comfortable with async programming- You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation- You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work **You think about the whole picture:**- You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles- You understand that data has a cost and a value, and not every source is worth keeping- You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations **You use AI daily:**- AI coding tools are part of your workflow today, not something you're curious about- You can articulate specifically how AI makes you faster and where it doesn't help- You'd be frustrated if you couldn't use AI in your workNice to haveExperience with financial or crypto market data Experience with streaming systems (Kafka or similar) at scale Vector database or embedding pipeline experience Experience with unstructured data extraction (PDFs, documents, NLP)Perks BenefitsSenior individual contributor role with full ownership of the data domain Direct access to leadership — no bureaucracy, fast decisions AI tools provided and encouraged across all work Remote-friendly, async-first Compensation commensurate with experience#LI-MC1