Maintain architecture integrity throughout delivery, adapting the design when requirements, constraints or implementation evidence change.
Engineering leadership & delivery management
Lead multidisciplinary engineering teams through mobilisation, design, build, test, release and transition to operations.
Turn the architecture into an actionable engineering plan, including work breakdown, sequencing, dependencies, estimates, technical milestones and delivery risks.
Balance hands-on technical involvement with delegation, enabling technical leads and senior engineers to own components and make decisions within agreed guardrails.
Monitor engineering progress, quality and technical risk; remove blockers and intervene early where delivery, architecture or capability gaps threaten outcomes.
Partner with delivery and product leadership on scope, priorities, capacity and trade-offs, ensuring commitments remain technically credible and achievable.
Support team formation, onboarding and capability planning, contributing to recruitment and the effective deployment of engineering talent.
Engineering excellence & team development
Establish and reinforce practical engineering standards for coding, testing, security, accessibility, documentation, source control, CI/CD and operational readiness.
Create an environment in which engineers receive clear direction, constructive feedback, coaching and opportunities to grow their technical leadership.
Mentor engineers and technical leads, strengthening design thinking, problem solving, ownership and communication across the team.
Promote effective peer review, design review and architecture governance proportionate to delivery risk and complexity.
Drive continuous improvement using delivery evidence, production insight and team feedback, with a focus on quality, flow, predictability and sustainable ways of working.
Encourage reuse through reference implementations, patterns, shared components and engineering accelerators where these provide demonstrable value.
Technology strategy, cloud & AI-enabled engineering
Evaluate and recommend technology stacks, frameworks, platforms and cloud services based on business fit, engineering capability, lifecycle, risk and total cost of ownership.
Apply appropriate modern architecture patterns, including API-first, event-driven, domain-oriented, serverless and microservices approaches, without treating any pattern as the default.
Guide cloud-native and hybrid solution design in line with reliability, security, FinOps and operational excellence principles.
Identify opportunities to use generative AI within solutions and engineering workflows where it creates measurable value.
Establish practical guardrails for AI-assisted architecture, development, testing, documentation and operations, maintaining traceability, governance and human oversight.
Contribute to technology modernisation, platform engineering and engineering productivity initiatives.
Stakeholder, governance & commercial contribution
Work closely with clients, product owners, delivery managers, security, operations and engineering stakeholders to align solution decisions with outcomes and constraints.
Communicate architecture and engineering decisions clearly to technical and non-technical audiences, including implications, risks and recommended actions.
Lead technical design workshops, architecture reviews and engineering deep dives, ensuring decisions are understood and followed through.
Contribute to pursuits, proposals, discovery, solution shaping, estimation, delivery planning and technical due diligence.
Provide transparent reporting on technical progress, architecture decisions, engineering health, dependencies and risks.
To qualify for the role, you must have
10+ years of software engineering experience, including significant responsibility for enterprise-scale solution delivery.
Demonstrated experience leading and developing multidisciplinary engineering teams, either as an Engineering Manager, Technical Lead or equivalent.
Proven experience defining solution architectures from concept through implementation and operational transition.
Strong engineering depth across frontend, backend, integration and cloud platforms, with the judgement to engage specialists when required.
Experience planning and governing complex technical delivery, including estimation, dependencies, quality, risk and stakeholder management.
Experience designing and delivering secure, resilient cloud-native applications and selecting technology stacks for varied solution contexts.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems or a related discipline, or equivalent practical experience.
Ideally, you’ll also have
Master's degree in Computer Science, Software Engineering, Information Systems or a related discipline, or equivalent practical experience.
A recognised architecture certification, such as TOGAF or equivalent.
A cloud solution or platform architecture certification.
Relevant training or certification in AI-enabled or AI-native solution architecture.
Skills and attributes for success
The successful candidate will demonstrate ability to
Make sound technology and architecture decisions aligned to business outcomes.
Establish clear engineering direction for delivery teams.
Deliver secure, resilient, cloud-native, and AI-native architectures.
Accelerate engineering productivity through standards, patterns, and reusable assets.
Communicate effectively and with impact.
Expertise and competencies in
Systems Thinking
Architecture & Design
Technical Leadership
Strategic Thinking
Solution Evaluation & Trade-off Analysis
Decision Making Under Ambiguity
Cloud-Native Architecture
Modern Engineering Practices
AI-Enabled Engineering & SDLC
Stakeholder Management
Coaching & Mentoring
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
In addition to a competitive salary, our benefits include but are not limited to:
13th salary
Provident Fund
Private Medical and Life Insurance
Flexible working arrangements (hybrid work and flexible work schedule)
Friday afternoon off
EY Tech MBA and EY MSc in Business Analytics
EY Badges - digital learning certificates
Mobility programs (if interested to work abroad)
Paid Sick Leave
Paid Paternity Leave
Yearly wellbeing days off
Maternity, Wedding and New Baby Gifts
EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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