Solution Engineering Manager – Technology Consulting

. Lead a multidisciplinary squad of 5–8 engineers building mission-critical financial platforms and AI-enabled client solutions .

Posted 10/9/2026full-timeUnited StatesSeniorLead💰 $139,100 - $254,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams to build mission-critical financial platforms, integrating generative AI, and applying Spec-Driven Development. Proven ability to manage complex projects, ensuring quality, security, and compliance while fostering an inclusive team culture.

Highest-signal resume keywords

Java DevelopmentPython IntegrationKafka Event-Driven ArchitectureCloud-Native MicroservicesGenerative AI Integration

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Hard Skills

Software EngineeringDistributed Systems DesignRESTful APIsCI/CDAutomated TestingAgile DevelopmentSpec-Driven DevelopmentOperationalizing AI ToolsPerformance ReviewsTechnical Advisory

Soft Skills

Stakeholder NegotiationConsultative Problem-SolvingCommunication SkillsTeam LeadershipCollaboration

Tools & Technologies

Spring FrameworkIaaSPaaSContainersGit

Industry Keywords

Financial PlatformsRisk ComplianceSOC2PCI-DSSAI Fluency

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaKafkaMicroservicesPythonSpring

About the role

Key responsibilities & impact

Lead a multidisciplinary squad of 5–8 engineers building mission-critical financial platforms and AI-enabled client solutions
Act as a trusted technical advisor to Product, Business Unit, and Risk/Compliance partners
Own squad execution from requirements and estimation through release, operational handover, and continuous improvement
Manage, mentor, and grow 5–8 engineers through 1:1s, performance reviews, and career planning
Build AI fluency, support hiring, and foster an inclusive, accountable culture across onshore and global members
Own pod architecture, including service boundaries, fault tolerance, Java/Python integration contracts, NFRs, and documented trade-offs
Advise on feasibility, buy-vs-build decisions, and technical debt
Provide early input on regulatory impacts such as SOC2 and PCI-DSS with Risk, Compliance, and Security specialists
Lead discovery workshops and demos, communicating progress, risks, and trade-offs in business terms
Institutionalize Spec-Driven Development governance and agentic code generation with quality, security, human-review, and data/IP-protection guardrails
Integrate generative and agentic AI, owning testing, access controls, monitoring, human oversight, latency, and cost
Partner with engineering managers, QA, and Platform teams to de-risk multi-service releases
Lead delivery of new and existing applications; participate in design and code reviews
Manage backlog, capacity, and dependencies; ensure release readiness, observability, and support handover
Build documented and tested reusable accelerators with Innovation
Support proposals, RFPs, demos, prototypes, and estimates

Requirements

What you’ll need

Bachelor’s degree in computer science or another related field
8+ years of software engineering experience
2+ years leading an engineering team or squad
Advanced knowledge of modern Java, preferably Spring
Practical Python experience for services, automation, or AI integration
Proven experience designing distributed systems using Kafka event-driven architecture and RESTful APIs
Hands-on cloud-native microservices experience, including IaaS, PaaS, and containers
End-to-end business-critical integration experience
Experience with Git, CI/CD, automated quality and security checks, Agile/TDD, and automated testing
Generative and agentic AI integration, evaluation, and production monitoring experience
Proven success applying Spec-Driven Development and operationalizing AI developer tools at squad level with human review and data protection
Stakeholder negotiation, architectural advisory, and consultative problem-solving skills
Ability to prioritize and lead a squad in a fast-paced environment, with travel as required
Excellent written and oral communication skills
Ability to turn ambiguous business needs into actionable designs and delivery plans
Hands-on engineering judgment for complex design and production issues
Practical responsible-AI judgment balancing speed and value with quality, security, and privacy
Ability to collaborate across product, architecture, cloud, data, quality, and security teams

Benefits

Comp & perks

Comprehensive compensation and benefits package
Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
EY Paid Holidays
Winter/Summer breaks
Personal/Family Care leave
Other leaves of absence
Professional growth opportunities
Inclusive culture
Reasonable accommodation for qualified individuals with disabilities, including veterans with disabilities