SPD Technology

Engineering Manager in DataTech

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SeniorZdalnieFull-time

#405508·Dodano dwa miesiące temu·6

Źródło: SPD Technology

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Tech Stack / Keywords

Java Kubernetes Spring BootArchitecturePostgreSQL Kafka SDLCTesting

Firma i stanowisko

SPD Technology is a global software product development company specializing in fintech, digital payments, data engineering, AI/ML, and cloud computing. Founded in 2006, the company has delivered over 460 custom projects for clients ranging from high-growth startups to Fortune 500 firms. They collaborate with notable partners such as PitchBook and Morningstar, focusing on creating cutting-edge tech solutions that drive client growth.

Wymagania

Proven engineering leadership experience managing multiple software/data engineering teams
Strong track record in delivery, planning, prioritization, and execution improvement
Ability to use delivery data, visualization, and reporting to identify problems and drive improvements
Strong people-management skills: coaching, performance management, and team development
Strong technical judgment and collaboration with engineering leads to improve delivery practices
Experience with GenAI and SDD practices
Clear communication and collaboration skills with technical and non-technical stakeholders
Ownership mindset for delivery and long-term quality and maintainability
Excellent written and verbal communication skills in English

Nice to have:

Experience in data ingestion, processing, and curation domains
Familiarity with Stream-Aligned Teams and Team Topologies
Experience working with Architecture, Platform, and Site Reliability Engineering teams
Experience improving observability, reliability, and incident management for backend/data services

Obowiązki

Own delivery and engineering outcomes for DataTech teams including delivery, velocity, quality, reliability, and scalability
Align work with DataTech priorities using visualization and reporting
Ensure strong SDLC execution across refinement, design, estimation, implementation, testing, and deployment
Identify execution gaps and collaborate with SDE Leads to improve delivery
Invest in evolving AI-enabled SDLC and SDD frameworks
Plan and manage short- and long-term capacity and capability
Allocate team members according to priorities and commitments
Identify and mitigate capacity and delivery risks
Own product quality, reliability, stability, and performance
Manage platform-wide customer support, incident management, and observability
Balance delivery objectives with technical health and operational necessities
Lead and grow engineers and SDE Leads through coaching, feedback, and performance management
Build and evolve teams via hiring, onboarding, and skills mix adjustments
Maintain healthy team dynamics and address people issues early
Improve engineering practices to enhance team delivery
Collaborate with Product, Data, and other domains for plan alignment and dependency management
Participate in domain-level planning and cross-team collaboration

Benefity

Fully remote work with flexible working schedule
Stable workload and income
Provided laptops and licensed software
Performance and merit reviews
Personal development plans and learning resources including corporate library and public speaking support
Opportunity to collaborate with experts and participate in company-wide tech and cultural events
Referral bonus program

Elastyczne godziny

Premie

SPD Technology

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