• Build and maintain a self-service application delivery platform for AWS workloads. • Design reusable Jenkins shared libraries and pipeline standards. • Create Terraform module stacks for ECS, S3, SQS, Lambda, IAM, and related AWS services. • Define the YAML-based application contract used by application teams. • Implement promotion workflows, approvals, drift prevention, and environment separation. • Partner with developers, security, and operations to deliver secure golden paths. • Design and develop end-to-end Jenkins Declarative and Scripted pipelines using Groovy to automate seamless code promotion from development through to production environments. • Build Terraform modules and root-module compositions for multi-service applications. • Support ECS Fargate and optional AWS capabilities such as S3, SQS, Lambda, IAM. • Standardize build, test, deploy, and approval workflows. • Establish Terraform state and environment management practices. • Create documentation, templates, and onboarding guides for application teams. • Improve reliability, observability, security, and cost efficiency.

• Take part in the process of designing, developing, and improving security-related platform capabilities used across modern financial systems. • Help strengthen the security posture of our AWS-based environments by working on cloud security controls, threat detection, vulnerability management, incident response, and operational security processes. • Have an impact on our platform and engineering standards by partnering with development teams, the Security team, and external partners such as penetration testers and auditors. • Support product and engineering teams in designing secure solutions and improving the security of applications and platform components used in highly controlled and regulated environments, including web application security practices and secure design reviews. • Take part in internal security reviews and technical auditing activities, helping identify risks, improve security posture, and ensure that security-related requirements are properly implemented in practice. • Act as one of the main technical owners on the Platform side for selected security, compliance, and audit-related activities, including helping engineering teams understand and implement requirements related to our environment and industry standards such as PCI DSS. • Drive vulnerability remediation efforts by helping engineering teams identify, prioritize, and address security findings practically and effectively. • Work with AWS security services and tools such as AWS Web Application Firewall (WAF), Amazon GuardDuty, AWS Network Firewall, AWS CloudTrail, AWS Key Management Service (KMS), and AWS Shield, as well as Wiz, Microsoft Sentinel, incident.io, Jira, Confluence, and Git. • Work using modern AI dev tools.

• Join a Media & Entertainment project building modern analytical solutions. • Help develop a cloud-native data ecosystem on AWS, focused on metadata management and data quality. • Implement, configure, and maintain the Metadata Management platform and Data Quality environment. • Integrate the solution with the lakehouse, data warehouse, domain systems, and analytical tools. • Automate metadata ingestion, data lineage, data quality monitoring, and DQ reporting. • Implement and maintain the metamodel and technical mechanisms for enforcing data quality rules. • Develop and extend integrations between Data Quality and Metadata Management solutions. • Monitor the stability, performance, and security of the environment. • Collaborate with Data Governance, Data Engineering, and business teams to roll out standards and drive practical adoption of the data catalog and DQ mechanisms. • Produce technical documentation and provide user support.

Role Description We are hiring a Senior Software Architect / Lead Engineer to set the technical direction for AACI Group's platform and ship the code that brings it to life. This is a hands-on, coding-first role, not a "meetings and diagrams" architect seat. You will design the systems across our business lines, and you will write production code alongside the team that builds them. You are the ideal candidate if you: - Still write code daily and lead by doing - Have worked across enough stacks to make sharp tradeoffs without belaboring them - Treat AI tooling as a force multiplier in both how you work and what you build - Take ownership of outcomes, not just architecture diagrams - Move quickly without sacrificing reliability or maintainability We are building the ship as we are flying it, and we need a technical leader who can keep the platform stable today while compounding leverage for what we are building tomorrow. Key Responsibilities - Own the architecture of AACI Group's platform end-to-end, including customer-facing products, internal operations tooling, and our suite of automations and integrations - Write production code daily as a working member of the engineering team - Lead technical direction across services, set the bar for code quality, and raise the engineering team's overall capability through review, mentorship, and example - Design systems that meet our scalability, performance, and reliability requirements while remaining simple enough for a small team to operate - Integrate LLMs, agents, and AI-native capabilities into real products in ways that move metrics, not demos - Partner with Product, Design, and Operations to translate ambiguous business problems into shippable systems - Document tradeoff decisions clearly so the rest of the company can move in lockstep What Success Looks Like in 6 Months - Core platform decisions have been made and are documented in a way that anyone on the team can defend - You are shipping production code on critical paths, not just reviewing it - The engineering team is faster, the codebase is healthier, and the technical bar is visibly higher than when you started - AI-native capabilities are embedded in our products in measurable ways Qualifications - 15+ years of professional software engineering experience - 5+ years of production Node.js, with fluency in at least one additional stack - Demonstrated architectural ownership of real systems built and operated end-to-end - Shipped products that use LLMs, agents, or other AI capabilities in production, not just prototypes - Strong system design fundamentals across scalability, performance, and reliability - Proven leadership experience driving technical direction across a team - Fluent written and verbal English - Comfortable in a startup environment where priorities and approaches shift Location, Compensation, and Reporting - Remote, full-time, long-term engagement - Significant overlap with US working hours expected if working outside the US - Reports to our Engineering Leader - Competitive compensation - Meaningful equity package Why Join Us This is an opportunity to set the technical foundation for an AI-native insurance company addressing climate risk and housing affordability head-on. Your architecture decisions, and the code you write to back them up, will directly shape whether families in high-risk markets can stay in their homes.