• Contribute to assigned projects as part of a multi-disciplinary team to deliver secure customer outcomes. Lead teams within your capability area when required, and support the development, estimation, and review of proposals and submissions. • Design, build, and implement secure cloud and hybrid solutions that meet ACSC PROTECTED requirements, incorporating industry best practices and frameworks. • Conduct cybersecurity audits, gap analyses, and risk/vulnerability assessments across current and future-state architectures. • Provide expert guidance on cloud/hybrid cybersecurity architecture, security policies, processes, and the alignment of security requirements to frameworks. • Design and implement cybersecurity solutions including SIEM, EDR, and vulnerability management tools. • Support the development and implementation of security policies and plans, and ensure the secure handling and storage of classified and sensitive information. • Participate in the development of internal methodologies, collateral, and IP. Support team capability uplift through coaching, peer reviews, and professional development initiatives. • Continuously develop your own skills and explore new capability areas to broaden your professional expertise.

• Complete SmartRecruiters technical certifications and fully ramp on technology, API’s and implementation methodologies; start to develop and contribute subject matter expertise and project deliverables to internal knowledge exchange • Work with Pre-Sales to showcase platform capabilities that require technical build beyond the scope of configuration • Participate in sales activities by assisting with the creation of prototypes, integrations, and solutions • Create integrations for demonstration purposes, utilizing SmartConnect or our APIs • Create reports and data visualizations that require builds and integrations via the API or third-party platforms • Deliver new ways to improve how we merchandise the platform, specifically around integrations with various other products and with partners • Extend the platform to build new solutions • Be the technical conduit between Partners, Product, and Infrastructure • Responsible for overall demo environments as it relates to design and performance • Keep current with trends on how we and other organizations leverage technology • Develop a POV on best practices

• Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications. • Collaborate across areas to ensure application reliability and coding to architectural standards. • Support product teams by advocating for their needs and providing constructive guidance. • Provide the glue across dependent teams to ensure technical dependencies are planned for and addressed in a fast-paced environment. • Connect with developers within your team to coach, inspire, and foster a continuous learning environment. • Build and maintain scalable full-stack applications. • Continuously monitor, test, and optimize software. • Collaborate with software engineers, the Software Development Manager (SDM), analysts, and stakeholders to deliver solutions that meet or exceed customer expectations. • Contribute as part of the team by leveraging continuous delivery methods and test-driven development to frequently deliver new functionality. • Deliver high-quality code and hold the team to the same standard through code review and mentoring. • Work to scale software to support dynamic teams in a fast-paced environment. • Be a contributor of knowledge to the team by reviewing code, sharing experience, and listening. • Champion and govern team-wide use of GitHub Copilot – establish prompting standards, review AI-generated code for security and quality, track productivity metrics, and coach developers on effective, responsible use of AI-assisted development. • Drive organizational Gen-AI adoption: build and execute a structured enablement roadmap that moves the engineering organization from awareness to competency, delivering workshops lunch-and-learns, hands-on labs, and reference implementations that make AI tooling tangible and accessible for developers at all levels. • Coach and mentor engineers on Gen-AI practices, provide 1:1 and team-level guidance on integrating AI into daily workflows including AI-assisted coding, AI-augmented code review, AI-accelerated test generation (unit, integration, regression), and effective use of AI in debugging and documentation. • Help engineers build critical evaluation skills for vetting AI-generated output. • Act as internal AI change agent. Identify adoption blockers, measure team AI maturity over time, gather feedback from engineers and stakeholders, and continuously iterate on enablement programs; evangelize Gen-AI success stories across the broader Technology Solutions and Platforms organization. • Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs including chat interfaces, document summarization, intelligent search, and automated content generation. • Design and maintain Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (e.g., Azure AI Search, Pinecone, pgvector) with enterprise data sources to ground model outputs in authoritative content. • Lead prompt engineering efforts; craft, version, evaluate, and iteratively refine system prompts, few-shot examples, and chain-of-thought strategies to maximize accuracy and safety. • Establish and enforce responsible AI practices, bias evaluation, content filtering, PII redaction, audit logging, and compliance with LSAC data governance standards for all AI-powered features.

• Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications • Support product teams by advocating for their needs and providing constructive guidance • Build and maintain scalable full-stack applications • Continuously monitor, test, and optimize software • Deliver high-quality code and hold the team to the same standard through code review and mentoring • Drive organizational Gen-AI adoption: build and execute a structured enablement roadmap that moves the engineering organization from awareness to competency