Title: Lead Engineering Manager Job Description: Responsibilities for this Position Location: Any Location / Remote Full Part/Time: Full time Job Req: RQ220554 Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Professional Engineering Job Qualifications: Skills: Leadership Management, Team Development, Team Performance, Team Productivity Certifications: None Experience: 10 + years of related experience US Citizenship Required: Yes Job Description: Deliver simple and modern solutions to complex problems as a Lead Engineering Manager at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours. At GDIT, people are our differentiator. As a Lead Engineering Manager you will help ensure today is safe and tomorrow is smarter. Our work depends on Lead Engineering Manager with Cloud experience joining our team to support PIVOT-I. For this effort, GDIT will use a combination of cloud-based and on-premises products to deliver an exceptional experience to many in-office and remote government civilians. Ensuring constant connectivity, zero-trust security architecture, and a suite of cloud-based office work tools to deliver our users the tools they need to be productive. HOW A LEAD ENGINEERING MANAGER WILL MAKE AN IMPACT: - Building and managing a high performing team of infrastructure, operations, and cybersecurity engineers - Working daily with our teams to modernize and simplify the processes and tools we use to provision, deliver, manager, and monitor our services - Reviewing project plans and engineering solutions to ensure we integrate the latest tools and techniques - Educating teams on adoption of automation practices and tooling, and supporting those practices and tools - Working directly with our customer to identify new problems and presenting innovative solutions - Identifying and implementing improvements to how we securely build, deploy and monitor endpoint devices - Provide insight and guidance for the preparation and maintenance of all documentation for processes and procedures related to engineering projects - Perform continual maintenance and create solutions for security, backup and redundancy problems for security and systems monitoring tools WHAT YOU'LL NEED TO SUCCEED: - BA/BS Degree and 8+ years of experience - Expertise in Microsoft O365, Azure Active Directory, and the Microsoft messaging suite - Security+ Certification - Background working within Zero-Trust Architectures - Experience delivering end-user computing including CM, Lifecycle Management, security, monitoring, and patching - Familiarity with sections 508 and 504 accessibility standards, assistive technologies, and compliance testing - Understanding of NIST requirements, auditing, and governance - U.S. Citizenship and ability to obtain requisite security clearance GDIT IS YOUR PLACE: - Full-flex work week to own your priorities at work and at home - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays The likely salary range for this position is $170,000 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Role Description We are looking for a Senior Full Stack Engineer to own production reliability and troubleshooting on a high-scale live hiring events platform serving enterprise clients. You will diagnose and resolve issues across distributed backend systems built on Java, Spring Boot, and Kafka, while collaborating closely with Client Support and GTM teams to maintain SLA compliance. The role demands rapid execution, strong React frontend experience, and the ability to take ownership across multiple concurrent projects. What You Will Do - Analyze, troubleshoot, and resolve production issues related to live hiring events and platform functionality; - Diagnose problems across distributed systems, integrations, and event workflows; - Collaborate closely with Client Support and GTM teams to triage and resolve support tickets efficiently; - Ensure timely issue resolution in accordance with established SLAs; - Monitor production systems and respond quickly to alerts, incidents, or performance degradation; - Maintain and update event logic as platform dependencies and integrations evolve; - Contribute to architecture improvements, backend reliability, and system scalability initiatives; - Own code merges, deployments, and production changes with minimal supervision; - Support and onboard additional engineers as the team grows; - Provide technical leadership, guidance, and operational support across multiple projects. Qualifications - 5+ years of professional software engineering experience; - Strong backend development experience with Java + Spring Boot (Primary Priority); - Strong backend development experience with Python + Django (Secondary Priority); - Strong frontend experience with React; - Experience with at least one of the following, or willingness to learn: Kafka, GraphQL, SQL and/or MongoDB; - Experience with build systems, CI/CD pipelines, and deployment processes; - Proven ability to ramp up quickly and take ownership of multiple projects simultaneously; - Experience troubleshooting and resolving production issues in live environments; - Experience with at least one of the following: Dagster, Data Lakes, Amazon Athena; - Strong debugging and data-analysis skills for investigating production incidents; - Excellent written and verbal communication skills; - Upper-intermediate English level. Nice to Haves - Product Management experience or close collaboration with GTM and Engineering teams on prioritization initiatives; - Experience with AI-assisted development tools such as Claude, Cursor, or Windsurf; - Experience mentoring or leading engineering teams in high-growth environments. Benefits - Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation. - Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.

Role Description Our Client is seeking a Forward Deployed Engineer to serve as the technical bridge between customers and product teams. You will work directly with engineers, researchers, and technical leadership at customer organizations, translating complex scientific and engineering challenges into deployable AI-powered solutions. This role is ideal for someone who combines deep scientific knowledge with hands-on software engineering skills and enjoys working closely with customers to solve high-impact technical problems. - Partner directly with customer engineering and research teams - Understand complex photonic, semiconductor, and hardware design workflows - Design and deploy AI-powered workflows using LLMs, simulations, and scientific models - Build prototypes demonstrating AI-assisted modeling, optimization, and automation - Orchestrate workflows combining AI systems, simulation environments, and customer data - Translate field insights into product feedback and roadmap recommendations - Act as a trusted technical advisor throughout pilots and production deployments - Help shape the evolution of next-generation AI platforms for engineering applications Qualifications - MSc or PhD in Electrical Engineering, Applied Physics, Applied Mathematics, Photonics, or a related field - 4+ years of experience in Software Engineering, Applied AI, Solutions Engineering, or Forward Deployed Engineering - Strong Python programming skills - Experience with scientific computing and workflow orchestration - Hands-on experience with LLMs, APIs, agentic systems, and modern AI tooling - Experience working directly with customers or technical stakeholders - Strong communication and problem-solving skills - Ability to bridge scientific concepts and software implementation Requirements - Experience with LangChain, LlamaIndex, Pydantic, Ray, or similar frameworks - Experience with semiconductor, photonics, or EDA environments - Hardware-software co-design experience - Cloud or HPC deployment experience - Published research combined with industry experience - Previous experience in R&D-heavy or deep-tech environments - Experience at organizations such as Palantir, Foundry, or other Forward Deployed Engineering teams Benefits - Competitive compensation package - Stock Options Plan - Access to cutting-edge AI and scientific computing technologies - Opportunity to collaborate with leading researchers and engineers - Conference participation and research presentation opportunities - Direct impact on the future of semiconductor and photonic development - Fast-moving, high-impact environment with significant ownership

Available Work Location: Singapore About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare's portfolio (Security, Networking and Developer Platforms). - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. - Strategic Alignment: Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer's evolving business goals and our product roadmap. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") - Cloudflare Developer Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway. - Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. - Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.