• Use AI-assisted threat modeling capabilities to identify application, platform, API, cloud, data, and AI/ML security risks early in the design and development process. • Leverage automated security review tools to evaluate architecture, design documents, code changes, APIs, and data flows for security gaps and control weaknesses. • Drive AI-assisted code security reviews using SAST, DAST, SCA, secrets detection, IaC scanning, container scanning, and contextual risk analysis. • Use automation and intelligent correlation to assess third-party libraries, APIs, vendor integrations, and open-source dependencies for security, compliance, and supply-chain risk. • Support AI-enabled red team, blue team, and incident response simulations to validate detection, prevention, and response capabilities. • Partner with developers and QA engineers to embed AI-driven security testing and automated risk detection into CI/CD pipelines. • Build and improve security automation that provides real-time feedback to developers during design, coding, testing, release, and deployment. • Use AI-assisted analysis to review architecture and design artifacts, identify risks earlier, and recommend secure implementation patterns. • Contribute to intelligent security checkpoints that reduce manual review effort while improving consistency, traceability, and developer velocity. • Help design scalable guardrails, reusable security controls, and policy-as-code capabilities across application and platform teams. • Monitor evolving application, cloud, API, AI/ML, and data security risks using AI-assisted threat intelligence, vulnerability intelligence, and attack-pattern analysis. • Identify and evaluate AI-specific threats such as prompt injection, data poisoning, model abuse, model leakage, insecure tool use, and sensitive data exposure. • Assist in designing and deploying proactive defense mechanisms across applications, APIs, data platforms, and AI-powered systems. • Use automated signals, telemetry, and risk scoring to support investigations, post-incident analysis, and continuous improvement of prevention and detection capabilities. • Translate recurring vulnerabilities and incidents into feedback loops that improve threat models, secure design patterns, and SDLC controls. • Promote secure coding and secure design practices through AI-assisted guidance, reusable playbooks, automated recommendations, and developer-friendly documentation. • Contribute to internal security standards, secure engineering patterns, and AI-native security playbooks. • Help teams adopt security self-service capabilities that reduce dependency on manual AppSec review. • Collaborate closely with Engineering, DevOps, QA, Product, and AI platform teams to foster a security-first and automation-first culture. • Use metrics and insights to measure control effectiveness, remediation trends, developer adoption, and overall security maturity.

• Developing cloud-native microservices and backend components in Golang • Building and maintaining SaaS infrastructure and services for scale and resiliency • Working with GCP, Kubernetes, and Linode, including development of Kubernetes operators • Using Helm, Terraform, GitHub Actions, and other modern tooling to support deployment and automation • Collaborating with other engineers, architects, and product managers to drive features end-to-end • Taking ownership of system design decisions and contribute to the long-term technical roadmap

• Own pre-ITO technical deliverables for all opportunities from assigned account managers, regardless of complexity • Gather from Customers and other sources information about each opportunity and the Customer’s development plan, strategy, and evaluation method • Inform Customers about GE technology and solutions through in-person and online presentations • Use thermodynamic modeling software to model Simple Cycle (SC), Combined Cycle (CC), and Combined Heat & Power (CHP) plants • When appropriate, work cross-functionally to conduct configuration optimization • Conduct economic life-cycle evaluation analysis of GE and competitor solutions for projects prior to RFP • Work closely with New Unit Sales and within the broader Applications Engineering and Product Line Management teams to ensure optimum GE competitiveness and establish a pre-ITO level of technical information flow to develop gas power projects • Proactively assess product fit and define an influencing strategy to best position GE prior to firm bid • Respond to Customer requests for technical information prior to RFP (Request For Proposal, formal), including providing transmission interconnect data and emissions data for permitting • Define and communicate to the ITO proposal team the project background, optimum configuration, necessary approvals obtained, and bid strategy • Gather competitive data and support post win and post mortem analyses including analyzing and reporting back to the business regional Customer needs and trends

Role Description As an Engineer you will create and/or modify solutions to complex software problems. This includes coding, testing, debugging, documenting, and maintaining those solutions. You will participate in leading smaller engineering efforts as well as contributing to larger, enterprise-wide initiatives. The Engineering teams are challenged to partner across departments and divisions to achieve the best outcomes for our customers. DUTIES & RESPONSIBILITIES: - Designing Solutions: - Apply technical knowledge to drive outcomes for customers. - Ability to work and problem solve independently on initiatives that align to the broader software engineering strategy. - Proficient at designing solutions within core framework of software products within this team. - Participate in low level design for the product area / within the team. - Designing Software: - Use independent, critical thinking to solve complex problems which are significant to the customer. - Member of team that can work independently, as well as collaboratively with team, in developing core software for the product that delivers outcomes. - Consistent and dependable in delivering core software that delivers outcomes and meets/exceeds the teams expectations for stability, scalability, resilience, etc. - Learning and Applying New Techniques: - Seek out opportunities to learn new technologies that improve the product and its lifecycle. - Collaborating within the Team: - Participate in team’s collaboration sessions to provide technical expertise to solve a problem/remove technical roadblocks for the team. - Participate in product planning and implementation. Helps team to understand and decompose work. - DevOps: - Participates in the team support rotation and builds knowledge on focus subsystems. - Coaching Engineers: - Provide technical expertise and help the team to solve technical/software issues. - Provide trainings to the junior developers and groom them. - Recruiting/Building Talent: - Participate in the interview process or be part of the panel to recruit the right talent to the team. - Models Thrivent’s leadership competencies – courage, collaboration, and commitment by demonstrating resiliency, working together to make the best decisions, and holding yourself and others accountable. - Supports and/or develops an environment in which Thrivent employees and colleagues are focused on continuous improvement, exceptional employee engagement, and an unwavering commitment to our clients. - Shapes and/or supports a culture that represents the Thrivent purpose, promise and values, ensuring that Thrivent’s trust and reputation remain strong with its clients. - Perform other related duties as required. Qualifications - Required: - Bachelor's degree in Computer Science or other technical field or equivalent work experience. - 3 to 5 years of Engineering experience. - Experience using the following technical skills: Java, REST API's, Kafka, Spring Boot, Spring Integration, GitHub. - Experience using AI Tools to improve engineering productivity. - Sound knowledge of Software Development Life Cycle (SDLC). - Knowledge of industry standard Software Development Life Cycle (SDLC) practices. - Knowledge of systems design concepts that provide security and stability. - Deep knowledge of Operating Systems and/or Application Development Platforms. - Ability to debug code and/or complex log files for troubleshooting and analysis of product defects. - Sound understanding of application engineering concepts. - Knowledge/experience with querying databases for data lookup/update. - Preferred: - Financial Services industry experience. - Coach / mentor other team members as appropriate. - GitHub experience. - Playwrite Test Automation. Requirements - Thrivent’s long-term growth depends on attracting, rewarding, and retaining people who are committed to helping others thrive with purpose. - The applicable salary or hourly wage range for this full-time role is $81,537.00 - $110,315.00 per year, which factors in various geographic regions. - The base pay actually offered will be determined by a variety of factors including, but not limited to, location, relevant experience, skills, and knowledge, business needs, market demand, and other factors Thrivent deems important. Benefits - Various bonuses (including, for example, annual or long-term incentives). - Medical, dental, and vision insurance. - Health savings account. - Flexible spending account. - 401k. - Pension. - Life and accidental death and dismemberment insurance. - Disability insurance. - Supplemental protection insurance. - 20 days of Paid Time Off each year. - Sick and Safe Time. - 10 paid company holidays. - Volunteer Time Off. - Paid parental leave. - EAP. - Well-being benefits, and other employee benefits. - Eligibility for receipt of these benefits is subject to the applicable plan/policy documents. - Thrivent’s plans/policies are subject to change at any time at Thrivent’s discretion.