
501 - 1000 employees
Founded 2006
💳 Fintech
🤖 Artificial Intelligence
🤝 B2B
Fintech • Artificial Intelligence • B2B
SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.
🔥 0 minutes ago
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501 - 1000 employees
Founded 2006
💳 Fintech
🤖 Artificial Intelligence
🤝 B2B
Fintech • Artificial Intelligence • B2B
SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.
• Transform proofs of concept, scripts, and experimental AI or automation solutions into secure, scalable, reliable production applications • Own projects end-to-end from business discovery and requirements shaping through architecture, full-stack development, cloud deployment, production support, and continuous improvement • Collaborate with the CTO Office, FinOps, Operations, Sales, and Pre-Sales teams • Build responsive frontends, Python backends, APIs, integrations, and automated workflows using AWS serverless and containerized services • Develop agentic AI systems using LangChain and LangGraph, including RAG, tool calling, multi-agent orchestration, custom MCP servers, and reusable internal AI capabilities • Establish CI/CD pipelines with GitHub Actions • Write infrastructure as code and implement automated testing • Set up logging, monitoring, failure recovery, and operational observability using CloudWatch and ELK • Manage authentication, secrets, certificates, and access controls using OAuth 2.0, SAML, JWT, SSL/TLS, and secret management practices • Define pragmatic development guidelines for the CTO Office • Document systems and communicate technical risks and trade-offs transparently • Contribute to FinOps automation, enterprise AI enablement, meeting assistants, internal productivity tools, and AI-powered platforms
• 5+ years of full-stack engineering experience • Proven track record of independently designing, deploying, and operating software in production • Ability to refactor unorganized scripts, legacy code, or early-stage prototypes into maintainable production systems • Deep expertise in Python, preferably FastAPI • Proficiency with modern TypeScript/JavaScript frameworks, including Vue.js or React • Hands-on experience building, scaling, and managing AWS workloads • Experience with infrastructure as code tools such as Terraform or AWS CDK • Production experience with LangChain, LangGraph, agent orchestration, tool integration, RAG, and error recovery in non-deterministic AI systems • Understanding of CI/CD pipelines and GitHub Actions • Experience with Docker and Kubernetes • Practical experience using Cursor, Claude Code, or Windsurf • Ability to work with high autonomy without dedicated QA, DevOps, or SRE teams • Deep knowledge of distributed systems, relational and NoSQL database design, design patterns, and enterprise security standards
• Fully remote work • Flexible working schedule • Stable workload • Stable income • Provided laptops • Licensed software • Performance and merit reviews • Personal development plans • Individual learnings through the corporate library • Public speaking support • Company-wide tech and cultural events • Meaningful CSR initiatives • HR support • Referral bonus program • Long-term cooperation • Interview process includes recruiter, technical, and client interviews
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