
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.
🕒 July 27
🌐 Ukraine, Poland, +4 more countries – Remote
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
👻 Ghost score 23%
🗣️🇺🇦 Ukrainian Required
AWS
Azure
Cloud
Docker
ElasticSearch
Google Cloud Platform
Java
Kubernetes
Microservices
Postgres
Python
Redis
SQL
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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.
• Translate high-level business initiatives into concrete architectural vision and technical standards • Devise technology and architecture solutions that propel engineering excellence across the organization • Author AI-ready solution specifications as part of the design lifecycle • Drive system evolution toward well-defined target and transition states • Describe technical context in intuitive ways for different audiences • Drive system innovation by leveraging AI as a core enabler • Learn constantly, including in available cloud managed services • Propose pragmatic, organized, and balanced technical decisions • Provide and oversee high-level estimates for scoping non-trivial features • Coach engineering teams, grow their level constantly and enable them to make high-quality autonomous decisions in software design
• 7+ years of hands-on software development experience with strong core engineering principles • 3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure) • Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering • A strong, disciplined approach to architectural decision-making • Proven capability to manage stakeholder expectations • Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch) • Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes • Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus • Hands-on experience driving AI enablement initiatives and architecting agentic AI systems is considered a strong plus • English — Upper Intermediate or higher; Ukrainian — fluent.
• Flexible schedule • Performance and merit reviews • Personal development plans • Support for public speaking • Individual learnings through the corporate library • Referral bonus program
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