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Ernst & Young

Global professional services: consulting, assurance, tax

Financial Services - Solution Engineering, Technology Consulting, Manager

Engineering LeadershipUpdated on Nov 14
Full-time$139.1k - $289.7k

About the Job

Requirements

  • A bachelor's degree in computer science or another related field is required.
  • At least 8 years of software engineering experience, including at least 2 years leading an engineering team or squad.
  • Advanced knowledge of modern Java, preferably Spring, and practical Python for services, automation, or AI integration.
  • Proven design experience with distributed systems using Kafka event-driven architecture and RESTful APIs.
  • Hands-on cloud-native microservices experience, including infrastructure as a service, platform as a service, containers, and end-to-end business-critical integration.
  • Experience with Git, continuous integration and continuous delivery, automated quality and security checks, Agile, test-driven development, and automated testing.
  • Experience integrating generative and agentic artificial intelligence, evaluating it, and monitoring it in production.
  • Proven success applying Spec-Driven Development and operationalizing AI developer tools at squad level with human review and data protection.
  • Ability to prioritize and lead a squad in a fast-paced environment, with travel as required.
  • Ability to explain technical trade-offs to non-technical stakeholders and turn ambiguous business needs into actionable designs and delivery plans.
  • Hands-on engineering judgment to coach engineers through complex design and production issues.
  • Practical, responsible artificial intelligence judgment that balances speed and value with quality, security, and privacy.
  • Ability to collaborate across product, architecture, cloud, data, quality, and security teams.
  • Ability to balance velocity, technical debt, and compliance in stakeholder negotiations.
  • Ability to present architecture decision records to Architecture Review Boards.
  • Ability to lead discovery workshops to define technical roadmaps.

Responsibilities

  • Lead a multidisciplinary squad of 5–8 engineers to take solutions from discovery and design through production and continuous improvement across full-stack development, APIs and microservices, cloud-native platforms, and generative and agentic artificial intelligence, with security and responsible artificial intelligence at the core.
  • Lead the squad in building mission-critical financial platforms and artificial-intelligence-enabled client solutions, serving as a technical advisor to Product, Business Unit, and Risk/Compliance partners.
  • Own squad execution from requirements and estimation through release, operational handover, and continuous improvement, escalating cross-domain decisions to architecture and delivery leaders.
  • Manage, mentor, and grow 5–8 engineers through one-on-one meetings, performance reviews, and career planning; build artificial intelligence fluency, support hiring, and foster an inclusive, accountable culture across onshore and global team members.
  • Own the pod’s architecture, including service boundaries, fault tolerance such as circuit breakers and sagas, Java/Python integration contracts, explicit non-functional requirements, and documented trade-offs aligned with enterprise architecture standards.
  • Advise Product and Business Operations on feasibility, buy-versus-build decisions, and technical debt.
  • Provide early input on regulatory impacts, including SOC 2 and PCI DSS where applicable, in collaboration with Risk, Compliance, and Security specialists.
  • Lead discovery workshops and demonstrations, communicating progress, risks, and trade-offs in business terms.
  • Institutionalize Spec-Driven Development governance and agentic code generation with quality and security guardrails, human review, and data and intellectual property protection; measure cycle time, quality, and reliability rather than code volume.
  • Integrate generative and agentic artificial intelligence where there is a clear use case, partnering with Data & AI specialists and owning testing, access controls, monitoring, human oversight, latency, and cost.
  • Partner with peer engineering managers, quality assurance, and Platform teams to de-risk multi-service releases.
  • Deliver new and existing applications, stay hands-on in design and code reviews, manage backlog, capacity, and dependencies, and ensure release readiness, observability, and support handover.
  • Build documented, tested accelerators with Innovation and support proposals, requests for proposals, demonstrations, prototypes, and estimates.

Desired Qualifications

  • Experience with Kafka or RabbitMQ, Elasticsearch, Angular, React, TypeScript, Spark, NoSQL databases such as MongoDB or Cassandra, or comparable tools.
  • Experience guiding full-stack delivery and willingness to deepen expertise across frontend, backend, cloud, and artificial intelligence integration.
  • Experience delivering artificial-intelligence-enabled features or agentic workflows with evaluation and human oversight.
  • Experience in financial services or other regulated environments, including security, auditability, and operational resilience.
  • Experience contributing reusable accelerators, demonstrations, or solution proposals.
  • Writing, publishing, and conference-level presentation skills.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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