Providing technical guidance and leadership to development teams, ensuring best practices and standards are followed.
IT Technical Leadership is the role of guiding and enabling engineering teams to deliver reliable, maintainable, and business‑aligned software and systems. Technical leaders set technical direction, enforce engineering standards, remove technical blockers, and grow the team’s capability.

Core responsibilities
– Technical strategy and vision — define short‑ and long‑term technical goals that map to product and business objectives.
– Architecture and design guidance — ensure solution designs meet functional and non‑functional requirements and follow agreed patterns.
– Standards and best practices — establish coding standards, testing policies, release processes, and security controls.
– Delivery enablement — remove impediments, unblock teams, and shape engineering processes for predictable delivery.
– People development — mentor, coach, run technical interviews, and create career progression for engineers.
– Cross‑team collaboration — coordinate with product, QA, security, SRE, and ops to align priorities and integrations.
– Technical risk management — identify, communicate, and mitigate architectural and operational risks.
Day‑to‑day activities
– Review and approve designs, pull requests, and architecture proposals.
– Lead or participate in architecture meetings, code reviews, and sprint planning.
– Triage production incidents, drive root cause analysis, and own follow‑up remediation.
– Mentor engineers through 1:1s, design clinics, and brown‑bag sessions.
– Define and evolve CI/CD pipelines, observability, and test automation.
– Communicate technical status and trade‑offs to product and leadership.
Skills and behaviours
– Technical mastery — deep understanding of platforms, languages, distributed systems, and devops practices.
– Systems thinking — ability to reason about end‑to‑end flows, performance, failure modes, and emergent behaviour.
– Decision quality — make timely trade‑offs between speed, cost, reliability, and maintainability.
– Communication — explain complex technical topics simply to engineers and non‑technical stakeholders.
– Coaching mindset — raise team skill level rather than centralize all decisions.
– Influence without authority — align across teams and drive adoption of standards.
– Operational discipline — insist on monitoring, runbooks, SLOs, and post‑incident learning.
Practices, processes, and artefacts
– Engineering standards — style guides, dependency policies, security baselines, and performance budgets.
– Architecture Decision Records (ADRs) — record decisions, alternatives, and consequences for traceability.
– Code review culture — fast, constructive reviews with clear acceptance criteria.
– Automated pipelines — CI for builds and tests, CD for safe releases, automated security scans.
– Observability — metrics, logs, traces, dashboards, and alerting tied to SLOs.
– Incident process — runbooks, incident commander rotation, blameless postmortems, remediation backlog.
– Technical roadmap — prioritized tech initiatives, debt reduction plan, and measurable outcomes.
KPIs, maturity indicators, and common risks
– Key KPIs: deployment frequency; lead time for changes; change failure rate; mean time to recovery (MTTR); defect escape rate; number of production incidents; architecture debt index; time spent on maintenance vs. new features.
– Maturity indicators: automated testing and deployment; documented ADRs; SLOs with error budgets; consistent observability; ongoing technical mentoring; cross‑team reuse of components.
– Common risks: single‑point technical authority causing bottlenecks; underinvestment in ops and observability; accumulating technical debt; poor knowledge sharing; misalignment with product priorities.
– Mitigations: delegate decisions, enforce automated quality gates, dedicate cycles to debt and resilience, run regular cross‑team design reviews, measure outcomes not activity.
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Collaboration and Support
Working closely with Engineering, DevOps and other teams, providing guidance and training on best practices and new technologies. A discipline that…
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Innovation and Improvement
Staying updated with the latest industry trends, technologies and best practices, and continuously seeking ways to improve architectural processes, solutions and…
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Documentation and Governance
Creating and maintaining detailed documentation of architectural designs, standards, and best practices. Documentation and Governance covers the policies, processes, artefacts, and…
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Monitoring and Troubleshooting
Implementing monitoring solutions to detect system bottlenecks and production issues, and troubleshooting any problems that arise. Monitoring and Troubleshooting is the…
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Performance Optimization
Identifying and implementing strategies to improve system performance, scalability, and reliability, such as and clustering, proper resource allocation. Performance Optimization is…
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System Integration
Ensuring seamless integration of new systems with existing infrastructure, addressing any compatibility issues. System Integration is the practice of connecting new…




