Integration Platform Sr Manager_2988 (Minneapolis)

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

The Senior Manager of Digital Integration & Platform is a hands-on engineering leader responsible for the foundation that all five digital domains depend on. This role owns the API layer, microservices platform, event streaming infrastructure, cloud-native architecture, and the integrations that connect AllianzLife.com to financial product systems, downstream platforms, and third-party services.

This is a platform-first role in the truest sense and the team this manager leads enables every other domain to ship faster, more reliably, and with greater consistency. They are accountable for building and maintaining the Integration & Platform services defined in the Future Digital Reference Architecture: Java/Spring Boot microservices, AWS API Gateway, Kafka event streaming (EBS), MongoDB per-service data schemas, Ping authentication, Vault secrets management, and a cloud-native CI/CD pipeline on AWS ECS/EKS.

This role reports to the Head of Digital & Ops Modernization and partners closely with the Senior Director of Web Modernization, domain engineering managers, and enterprise architects. It is a cross-team enabler; reliability, API governance, and platform quality here directly determine the velocity of every team above it.

What you do

API development & governance

• Own the full API layer for AllianzLife.com including design, development, versioning, deprecation, and contract governance across all domains
• Build and maintain the AWS API Gateway configuration including WAF rules, rate limiting, routing, and security policies
• Establish and enforce API standards used by all five engineering domains: REST conventions, error handling, versioning strategy, and documentation requirements
• Own the API catalog and developer documentation so internal teams can self-serve integrations without reliance on tribal knowledge
• Implement and maintain authentication (SSO, JWT, OAuth) across all platform entry points
• Manage Vault for secrets management, certificate rotation, and secure credential distribution across services

Microservices & integration platform

• Lead the engineering and ongoing operations of the Java/Spring Boot microservices that power AllianzLife.com's core capabilities and build Account Service, Money Out Service, Claims Service, and Service Requests
• Own MongoDB per-service schema design and data governance and ensuring schemas are right-sized, versioned, and maintained independently per service
• Build and maintain Salesforce CRM integrations and all third-party API integrations that connect digital capabilities to back-office systems
• Own middleware orchestration and data transformation patterns across the integration layer
• Define and maintain integration contracts between the platform layer and all downstream systems: RSP, ID3, EODS, IHUB, and Producer Pro

Event-driven architecture & Kafka streaming

• Own the EBS Kafka event streaming bus that underpins real-time integration across AllianzLife.com and downstream systems
• Design and maintain event schemas, topic governance, consumer group management, and producer patterns
• Ensure event-driven flows are reliable, monitored, and recoverable including dead-letter queues, retry strategies, and incident playbooks
• Drive adoption of event-driven patterns across domain teams to reduce synchronous coupling and improve platform resilience

Cloud-native infrastructure & DevOps

• Own the cloud-native platform on AWS including ECS/EKS container orchestration, networking, IAM, and service mesh configuration
• Lead infrastructure-as-code practices using Terraform and AWS CDK all infrastructure is version-controlled, peer-reviewed, and automated
• Own the GitHub Actions CI/CD pipeline including branch strategy, PR gates, build and test automation, and deployment to AWS ECS/EKS
• Drive legacy system decommissioning with a sequenced, risk-managed migration plan that minimizes disruption to downstream consumers
• Establish and maintain platform SLAs for availability, latency, and deployment frequency tracked through Dynatrace observability

Observability & platform reliability

• Own Dynatrace as the full-stack observability platform - APM, distributed traces, log aggregation, RUM, SLO dashboards, and alerting
• Define and enforce SLO targets for all platform services - ensuring the team is measuring what matters, not just what's easy
• Own on-call rotation and incident response for platform-layer issues - building a culture of blameless post-mortems and continuous improvement
• Ensure platform health metrics are visible to all domain teams as a shared signal for release readiness

AI-augmented engineering

• Embed AI-augmented development practices into the team's engineering workflow: AI code review and generation, automated test coverage, and intelligent PR analysis
• Partner with the Architecture domain to evaluate and adopt emerging AI-first tooling (Anthropic Claude Code and equivalent) that improves platform engineering velocity
• Champion the AI-first operating model within the Integration & Platform domain as a foundational practice, not an optional add-on

Engineering leadership & culture

• Lead a full-stack platform engineering team - hiring, developing, and retaining engineers with deep expertise in Java, AWS, event-driven architecture, and API platform engineering
• Actively participate in technical decisions - conduct code reviews on microservices, infrastructure-as-code, and API contracts; shape architectural choices with the team
• Establish a strong platform engineering culture: code review discipline, tech debt budget per sprint, shared definition of done, and zero-tolerance for unmonitored production incidents
• Own the Integration & Platform team's slice of the single prioritized backlog - ensuring stories are ready, sequenced, and clearly prioritized against platform stability and new capability work
• Use DORA metrics - deployment frequency, lead time, change failure rate, and MTTR - as active coaching tools, not reporting artifacts

What you bring

Required

• 8-10 years of experience in platform, integration, or backend engineering, with at least 3-4 years leading and managing engineering teams
• Demonstrated engineering background in Java/Spring Boot microservices - must be able to conduct meaningful code reviews, evaluate architectural tradeoffs, and engage credibly on implementation details
• Hands-on experience with AWS cloud-native services including API Gateway, ECS/EKS, IAM, CloudWatch, and networking - not just familiarity, but production ownership
• Experience building and operating event-driven architectures using Apache Kafka or equivalent event streaming platforms
• Experience with API gateway management, REST API design standards, and OAuth2/JWT authentication patterns in production environments
• Proficiency with infrastructure-as-code using Terraform and/or AWS CDK - all infrastructure version-controlled and peer-reviewed
• Experience with GitHub Actions or equivalent CI/CD tooling - building pipelines that deploy to containerized cloud environments
• Proven track record leading agile teams with sprint planning, backlog management, and delivery execution in a platform engineering context
• Bachelor's degree in Computer Science, Software Engineering, or related discipline

Preferred

• Experience with Dynatrace or equivalent full-stack observability platforms (APM, distributed tracing, SLO management)
• Familiarity with Ping Identity products - PingFederate SSO, JWT token management, or Ping/OAuth2 identity flows
• Experience with MongoDB and per-service schema design in a microservices context
• Experience with HashiCorp Vault or equivalent secrets management platforms in a cloud-native environment
• Experience in financial services or insurance technology, including familiarity with downstream policy administration and financial transaction systems
• Exposure to AI-augmented development tooling - AI code review, automated test generation, or LLM-assisted PR analysis
• Experience operating within a full-stack engineering model where teams own their full delivery stack without discipline silos

What we offer

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working
• We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• The annualized base pay range for this role is $140,000 - 170,000. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, educati]]>