Engineering Manager – DataTech

🔥 0 minutes ago

🌐 Ukraine, Poland, +4 more countries – Remote

🇺🇦 Ukraine – Remote 🇵🇱 Poland – Remote 🇷🇴 Romania – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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SPD Technology

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Own delivery and engineering outcomes for DataTech teams • Be accountable for delivery, velocity, quality, reliability and scalability • Align work with DataTech priorities using visualization and reporting • Ensure effective execution across refinement, design, estimation, implementation, testing and deployment • Identify execution gaps and improve delivery practices with SDE Leads • Improve AI-enabled SDLC adoption, including SDD frameworks and practices • Own short- and long-term capacity and capability planning • Allocate people according to priorities and delivery commitments • Surface capacity and delivery risks and drive mitigation • Own platform stability, reliability, performance and overall quality • Ensure customer support, incident management, observability and operational processes • Balance delivery with technical health and operational needs • Manage engineers and SDE Leads through coaching, feedback, growth and performance management • Build and evolve teams through hiring, onboarding and skill-mix development • Maintain healthy team dynamics and address people issues early • Improve engineering practices and collaboration • Partner with Product, Data and other domains to align plans and manage dependencies • Contribute to domain-level planning and cross-team collaboration

🎯 Requirements

• Proven engineering leadership experience managing multiple software/data engineering teams • Strong track record of delivery, including improving planning, prioritization and execution • Ability to use delivery data, visualization and reporting to identify problems and drive improvements • Strong people-management skills, including coaching, performance management and team development • Strong technical judgment and ability to work with engineering leads to improve delivery practices • Effective use of GenAI and SDD • Clear communication and collaboration skills with technical and non-technical stakeholders • Ownership mindset with accountability for delivery, long-term quality and maintainability • Excellent written and verbal communication skills in English • Bonus: Experience in data ingestion, processing or curation domains • Bonus: Familiarity with Stream-Aligned Teams / Team Topologies • Bonus: Experience with Architecture, Platform, SRE and other enabling teams • Bonus: Experience improving observability, reliability and incident management for backend/data services • Tech stack exposure: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka and Redis

🏖️ Benefits

• 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