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Lead Developer
- Hiring from
- Hungary
- Work type
- Hybrid
- Posted
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The Lead Developer is a hands-on technical leader responsible for building, modernizing, and operating technology across Transamerica’s Actuarial organization. You will provide technical leadership across business-critical systems, cloud-native platforms, data engineering, grid computing, automation, and AI-driven solutions.
You will drive major platform capabilities such as operational monitoring, automated remediation, and AI-driven research and analysis while shaping architecture, delivery, and engineering excellence across the broader actuarial technology estate. This is an individual-contributor role with no direct people-management responsibilities. The role partners closely with actuarial, technology, and finance teams across our Life, Health, Retirement, and Annuity businesses.
Our actuarial systems produce the numbers the company reports and the calculations behind the products we sell. The supporting technology estate includes cloud-native services, data platforms, batch and grid workloads, legacy applications, integrations, automation, and emerging AI capabilities.
We are building software that can monitor this estate, explain failures, recommend resolutions, and, with appropriate approval, carry out corrective action. At the same time, we continue to maintain and modernize the applications, pipelines, and platforms the business depends on every day.
Responsibilities
You will drive major platform capabilities such as operational monitoring, automated remediation, and AI-driven research and analysis while shaping architecture, delivery, and engineering excellence across the broader actuarial technology estate. This is an individual-contributor role with no direct people-management responsibilities. The role partners closely with actuarial, technology, and finance teams across our Life, Health, Retirement, and Annuity businesses.
Our actuarial systems produce the numbers the company reports and the calculations behind the products we sell. The supporting technology estate includes cloud-native services, data platforms, batch and grid workloads, legacy applications, integrations, automation, and emerging AI capabilities.
We are building software that can monitor this estate, explain failures, recommend resolutions, and, with appropriate approval, carry out corrective action. At the same time, we continue to maintain and modernize the applications, pipelines, and platforms the business depends on every day.
Responsibilities
- Own applications and platform capabilities end to end, from architecture and delivery through production support, modernization, and retirement.
- Lead delivery across legacy applications, cloud-native services, data platforms, batch and grid processing, automation, and AI solutions.
- Design and ship scalable Python and AWS solutions using serverless, event-driven, integration, and data-intensive patterns.
- Build dependable AI and agent-based services using trusted enterprise data, appropriate human approval, evaluation baselines, observability, and release controls.
- Build and maintain data pipelines and reporting layers using SQL, PySpark, AWS Glue, Amazon Redshift, Snowflake, Airflow, and dbt.
- Develop, support, and modernize VB, .NET, Informatica, and other established applications, making pragmatic decisions to enhance, migrate, replace, or retire capabilities.
- Design and operate workloads across EC2, ECS, Fargate, Lambda, and distributed or grid-computing environments.
- Set engineering standards for design, code review, testing, infrastructure as code, GitHub, Harness CI/CD, Snyk scanning, Control-M scheduling, ServiceNow ITSM, and production monitoring.
- Resolve complex production issues across applications, infrastructure, data pipelines, integrations, and AI workloads, and drive permanent corrective action.
- Partner with actuarial, technology, and finance teams to translate business needs into practical solutions and explain technical trade-offs clearly.
- Lead architecture, security, and change reviews with strong controls for auditability, least privilege, resilience, data protection, and human oversight.
- Mentor engineers, analysts, testers, and contractors through technical guidance, design review, code review, pairing, and knowledge sharing without direct supervisory responsibility.
- Break complex initiatives into practical technical plans, identify dependencies and risks, and work with delivery and people leaders to keep execution on track.
- Act as a technical escalation point while building shared capability and reducing key-person dependencies across geographically distributed teams.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent relevant experience.
- Substantial software engineering experience with accountability for business-critical production systems.
- Demonstrated experience leading complex technical initiatives through influence, architecture, hands-on engineering, and cross-team collaboration.
- Strong hands-on Python skills and experience designing, debugging, reviewing, and supporting production software.
- Deep AWS experience across serverless, containers, event-driven systems, APIs, security, infrastructure, and multi-account environments.
- Experience with AWS Glue, Airflow, Amazon Redshift, Snowflake, PySpark, EC2, ECS, Fargate, and Lambda.
- Strong SQL, NoSQL, and data-engineering fundamentals, including production pipelines and shared datasets.
- Practical large language model experience, including prompting, retrieval, tools, context, model selection, cost, and latency, ideally using Amazon Bedrock.
- Experience with an agent framework and a clear understanding of failure modes in multi-step agent systems.
- Experience using evaluation, observability, and production evidence to make software and AI release decisions.
- Experience with infrastructure as code, automated testing, GitHub, Harness, Snyk, Control-M, ServiceNow ITSM, and production monitoring.
- Ability to mentor and guide engineers while remaining deeply involved in design, development, code review, troubleshooting, and production support.
- Ability to lead across modern and legacy technology stacks without disrupting critical business operations.
- Sound judgment across reliability, security, performance, cost, maintainability, and delivery speed.
- Strong written and verbal communication with actuarial, finance, engineering, and leadership audiences.
- Experience in insurance, actuarial, finance, or another regulated environment where accuracy, controls, traceability, and reliability matter.
- Familiarity with valuation, experience studies, financial reporting, model management, or assumption management.
- Experience modernizing a large application portfolio while safely operating existing systems.
- Experience with distributed, high-performance, or grid-computing workloads.
- Experience with dbt, .NET, VB, and Informatica.
- Familiarity with emerging agent standards, including tool and context protocols, agent-to-agent interoperability, packaged skills, and registries.
- Experience with agent observability, evaluation, and tracing failed agent runs to root cause.
- Experience with agentic development tools such as Kiro and disciplined review of AI-generated code.
- Experience collaborating across geographically distributed teams.
What We Offer
Aegon Global Business Solutions Center is supporting these businesses with IT, Finance, Risk, Model Validation, Actuarial, Audit, and Asset management services with a growing team of approx. 300 people, based in Budapest, Hungary.
- Competitive salary
- Comprehensive health package
- Cafeteria
- All You Can Move
- Brand new office at an excellent location
- Hybrid working
- Opportunities for growth and advancement
- A highly people-centric, positive, and supportive work environment
Aegon Global Business Solutions Center is supporting these businesses with IT, Finance, Risk, Model Validation, Actuarial, Audit, and Asset management services with a growing team of approx. 300 people, based in Budapest, Hungary.
