Backbase
(RD)EngineeringTeamLead(ETL)
Neural analysis suggests this role is
optimal for Lead candidates.
“(RD) Engineering Team Lead (ETL) at Backbase. Skills: System design, Technical leadership, People leadership, AI-Native Engineering. Lead system design. Participate in design reviews”
What You'll Achieve.
Delivery predictability; Engineering quality; Engineer growth; Predictable delivery; Sustainable delivery; Accelerate development lifecycle; Team cohesion; Delivery momentum; Idea-to-production cycle time; Delivery predictability; Proactive blocker removal; Technical outcomes
Industry & Context.
Debugging; BS Detector; Emergency Response; Conflict Resolution; Root cause analysis
What They're Looking For.
Must Have
5+ years software engineering, Recent production code contributions, System design grounding, Architecture patterns grounding, Modern engineering tooling grounding, Deep expertise in one area, Broad competence across full stack, Familiarity with CI/CD pipelines, Familiarity with test automation, Familiarity with observability, Familiarity with quality-focused development, Enthusiasm for AI tooling, Willingness to lead AI adoption, Desire to lead people, Active technical contributor, High emotional intelligence, Resilience under pressure, Experience coaching engineers, Experience running 1:1s, Experience providing constructive feedback, Ability to create inclusive environments, Ability to create engaging environments, Ability to create engineering culture, Comfortable addressing underperformance, Skilled in Agile delivery methods, Experience managing delivery risk, Experience managing stakeholder expectations, Translates and synthesizes messages, Confident communicator, Adjusts communication style, Fosters open dialogue, Track record building teams, Track record scaling teams, Track record building processes, Track record scaling processes, Track record building delivery capability, Track record scaling delivery capability
Nice to Have
Kubernetes experience a plus
What You'll Do.
Participate in design reviews
Participate in architecture decisions
Ensure security from start
Ensure scalability from start
Maintain technical credibility
Perform active code reviews
Debug production issues
Understand owned systems
Champion modern engineering practices
Drive production-readiness
Drive robust release management
Spot unrealistic estimates
Spot risk blind spots
Jump in technically during incidents
Coordinate response during incidents
Lead AI-Native Engineering adoption
Lead adoption of agentic tooling
Lead adoption of LLM workflows
Lead adoption of AI automation
Experiment with code generation
Experiment with test automation
Experiment with AI-assisted productivity
Perform performance calibration
Drive evidence-based career development
Create tailored growth plans
Act as a genuine coach
Build psychological safety
Sustain team resilience
Sustain healthy engineering culture
Detect friction early
Resolve friction early
Maintain sustainable pace
Manage hiring decisions
Build teams with competencies
Build teams with seniority balance
Plan for knowledge continuity
Mediate interpersonal conflicts
Mediate cross-team conflicts
Protect team cohesion
Protect delivery momentum
Optimise idea-to-production cycle time
Strengthen delivery predictability
Remove proactive blockers
Collaborate with Product Managers
Collaborate with Domain Architects
Translate business needs
Synthesise business needs
Push back on unrealistic scope
Drive improvement in delivery capability
Drive improvement in operating models
Drive improvement in tooling
How You'll Work.
Team & Collaboration
Cross-functional agile teams; Product Managers; Domain Architects; Services teams
Communication Scope
Confident communicator; Adjusts style; Fosters open dialogue
Process & Methodology
Agile delivery methods, Scrum, Kanban, Delivery risk management, Stakeholder expectation management
Full Job Description
The Role This is a Senior+ Engineer who leads people, not a people manager who used to code. If you cannot open an IDE, spin up an agentic coding session in Cursor or Claude Code, debug a production issue or support a customer implementation alongside our last-mile Services teams, this is not the right role. You are the captain of a single squad: accountable for delivery predictability, engineering quality and the growth of every engineer in your team. We are looking for technologists who want to stay deep in the technology whilst taking on genuine people leadership and delivery accountability. You will spend roughly half your time on system design, architecture and technical decision-making, with around a fifth of your time in the codebase directly through code reviews, debugging and unblocking. The remaining time is invested in your people: coaching, calibration, hiring and building a team that delivers predictably and sustainably. What you will do Technical Leadership (circa 70% of the role) System Design and Architecture: Lead and participate in design reviews, RFCs and architecture decisions alongside Staff Engineers. Ensure security and scalability are embedded from the start. Hands-on Contribution: Maintain your technical credibility through active code reviews, debugging production issues and unblocking your team. You write code, read code and understand the systems your squad owns. Quality and Engineering Excellence: Champion modern engineering practices including CI/CD pipelines, test automation, observability and quality gates. Drive production-readiness and robust release management. BS Detector: Use your technical depth to spot unrealistic estimates, fragile designs or risk blind spots before they become delivery problems. Emergency Response: During critical incidents, jump in technically or coordinate the response. You are comfortable leading under pressure. AI-Native Engineering: Lead adoption of agentic tooling, LLM workflows and AI automation within
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