15 jobs found

Job Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond. The Role Every engineer at Hadrian ships software. The speed and quality of that work depends directly on the tools, pipelines, and workflows underneath it. The Builder Tools team owns that foundation. As a Software Engineer on the Builder Tools team, you will build and maintain the CI/CD infrastructure, internal tooling, and AI-assisted development workflows that every engineering team at Hadrian depends on. Your users are Hadrian's engineers, and your job is to make them faster. That means owning shared pipeline libraries, reducing friction in the SDLC, making internal systems accessible to AI coding agents, and automating the work that slows teams down. This is a high-leverage role. The systems you build touch every engineer at Hadrian, and the improvements you ship show up immediately in how fast the company moves. What You'll Do Build and maintain CI/CD pipeline libraries that abstract build, release, and deployment events for use across multiple engineering teams Design and build internal tools, APIs, and CLI utilities that reduce developer friction and automate recurring engineering tasks - dependency upgrades, credential rotation, routine maintenance Help make Hadrian's internal systems API-ready for AI coding agents; build harness tooling, context systems, and feedback loops that improve the quality of AI-generated contributions in our codebase Instrument and monitor developer productivity systems; surface bottlenecks and measure the impact of tooling improvements through clear metrics Partner with application development teams to identify needs, implement CI/CD best practices, and drive adoption of new tooling across the org Join the on-call rotation to support systems and services during production incidents; contribute to root cause analyses and postmortems Participate in code reviews and author technical proposals that raise the engineering bar for the Builder Tools team What We're Looking For 5-8 years of software engineering experience, with at least 2-3 years focused on CI/CD, developer tooling, or build infrastructure Hands-on experience building and maintaining complex CI/CD pipelines and build infrastructure - pipeline-as-code, artifact management, multi-environment deployments Strong programming fundamentals in Go, Python, TypeScript, or similar; track record of writing clean, maintainable, well-tested code Experience with Docker and container orchestration (Kubernetes or similar) Solid understanding of source control concepts and practical Git experience Proven ability to troubleshoot complex systems and resolve issues efficiently A developer empathy mindset: you build tools that are easy to adopt, well-documented, and reduce toil rather than create it Bachelor's degree in Computer Science or related field, or equivalent experience What Will Set You Apart Genuine curiosity and hands-on experience with AI coding tools and agents - Copilot, Cursor, Claude Code, or similar - and opinions about what makes them work well in a real codebase Experience building API-ready interfaces or harness tooling for AI coding agents Prior work on developer experience or engineering productivity programs Familiarity with GitOps principles and workflows Experience with static analysis, automated PR pipelines, or code review tooling Background in fast-paced or scaling startup environments Growth & Trajectory The Builder Tools team is being built from the ground up, and this is one of the foundational IC roles on it. As the team grows and the function matures, there are opportunities to specialize in AI-assisted developer workflows, CI/CD platform ownership, or SDK/API development - and to grow into a senior IC or tech lead role as the org scales. Compensation For this role, the target salary range is $120,000- $250,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions. Compensation Range: $164.5K - $233K

iOS/Andrroid Engineer Overview / Summary We are seeking a Mid-Senior Level Android Engineer to join our team in Madison. The ideal candidate will have strong experience developing Android applications using modern technologies, architectural patterns, and integrations with REST APIs and third-party SDKs. Key Responsibilities Develop Android applications using Kotlin, Jetpack Compose, and Android XML layout structures. Implement and maintain modern architectural patterns, including MVVM, MVI, and Clean Architecture. Integrate applications with REST APIs and third-party SDKs. Contribute to Android application design, development, and maintenance. Required Qualifications Demonstrated experience with Kotlin. Demonstrated experience with Jetpack Compose. Demonstrated experience with Android XML layout structures. Solid understanding of MVVM, MVI, and Clean Architecture. Strong proficiency integrating REST APIs and third-party SDKs. Mid to Senior Engineer-level experience. Location Madison What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Software Developer in Test (SDET) Automation & AI Frameworks Location: Foster City, CA (100% In-Person) Pay Rate: $65.21 / hour (Full-Time Contract) Schedule: Monday Friday, Day Shift (40 hours/week) Industry: Autonomous Mobility & Advanced Software Systems About the Opportunity Comrise is looking for a self driven, senior Software Developer in Test (SDET) to help build scalable automation frameworks from scratch and elevate testing infrastructure for mission critical web, cloud, backend, and mobile applications. If you are passionate about building robust regression suites, leveraging cutting-edge AI testing tools, and ensuring the absolute reliability of safety-critical technologies, this is your opportunity to drive end-to-end testing strategy in a high-impact environment. What You Will Do Framework Development: Design, build, and maintain scalable automation testing frameworks from the ground up for cloud, backend, and mobile applications. End-to-End Automation: Create automated tests covering APIs, integration, subsystem, and edge-case scenarios to minimize repetitive manual testing. AI-Driven Testing: Implement AI-powered tools and workflows to accelerate test execution, boost coverage, and optimize engineering pr ductivity. Cross-Team Collaboration: Partner with QA engineers and software development teams to refine validation workflows and drive the transition from manual strategy to robust automation. Quality & Performance: Develop regression suites, validate high-stress system scenarios, and enhance automated tooling usability for engineering teams. What We Are Looking For Experience: 5+ years of hands on experience as an SDET with a proven track record of architecting cloud and backend automation frameworks from scratch. Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field. Technical Stack: Strong proficiency in Python, Kotlin, and modern CI/CD & version control tools like Git and Buildkite. Cloud & API Testing: Hands on experience building functional and performance automation for backend cloud environments and mobile apps. Bonus Skills: Hands-on experience with Playwright automation and implementing AI tools within the testing domain. Position Details & Work Environment Work Setting: 100% On-site in Foster City, CA (5 days/week in office). Facility Requirements: Ability to complete background checks and facility compliance requirements. Interview Process: 30-minute Manager Zoom $ightarrow$ 1.5-hour Panel Interview (includes an on-site portion). Ready to Apply? If you are ready to apply your automation expertise to complex, next-generation software platforms, click Apply Now to submit your resume for immediate review!

The DCS Air & Space Technology (AST) Sector is seeking an Operations Research Analyst for an exciting opportunity in support of the Air Force Research Laboratory (AFRL). In this role, you will help deliver technical expertise, with a focus on Modeling, Simulation & Analysis. You will collaborate closely with other DCS computer scientists and data analysts to support the customer's digital engineering initiatives. This position offers a chance for your curiosity and creativity to shine as you engineer unique solutions for a diverse problem set. We are seeking individuals that are driven and ready to grow with our company. DCS recognizes that its employees are the critical component in providing renowned solutions in the U.S. Defense, Aerospace, Human Factors, and Security markets. As an employee-owned company, professionals across all levels are valued and provided with the resources to make an immediate impact. At DCS, you will have the opportunity to collaborate with colleagues across multiple departments to support world-class research and development, while benefiting from training and mentorship to guide your career growth. Join DCS and contribute to innovative solutions that shape the future of critical technologies. Essential Job Functions: Team Leadership & Mentorship: Lead multi-disciplinary teams of software developers, engineers, and data analysts in conducting complex analytical research and Operator-in-the-Loop studies. Provide direct mentorship to junior engineers in MS&A and modeling methodologies. System Modeling: Design and model complex heterogeneous systems, including Aircraft Systems, Missile Systems, Radars, Jamming (Electronic Warfare), and Communications. Advanced Analytics: Apply advanced analytic principles to large datasets to gain insights into challenging research and engineering questions related to future technologies. Agile Framework: Direct and participate in Agile ceremonies, sprint planning, backlog grooming, and triage. Required Skills: Due to the sensitivity of customer related requirements, US citizenship is required. Must have an active Secret security clearance with the ability to maintain. Must have a Bachelors degree in a technical field (Computer Science, Engineering, Mathematics, Analytics or Similar) 8-10 years of professional experience in modeling, simulation and analysis or operations research analysis. Experience using a scripting language (Python, R, or similar). Experience in applying advanced statistical and analytic methodologies to assess challenging research problems. Experience with applying scientific methodologies to design experiments that answer specific research and analytic questions. Experience developing presentations and communicating results to senior leaders Must be curious to explore new problems and develop creative solutions. Strong communication skills, both written and verbal. Must work onsite at customer facility. Remote work is not available. Desired Skills: Active Top Secret security clearance with SCI eligibility. Master's degree in a technical field (Computer Science, Engineering, Mathematics, Analytics or Similar). Experience with Agile software development methodologies, specifically utilizing the Scrum Framework. Experience developing machine learning models and employing them in a research setting. Experience utilizing or developing AFSIM focused on mission-level modeling and scenario analysis.

Job Title: Application Programmer III Location: Jersey City, NJ & Plano, TX Duration: Contract - 12 months Pay Range: $68.24/hr (W2) Job ID: 407355 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior PL/SQL Application Programmer to join our dynamic team. The ideal candidate will have strong experience in Oracle PL/SQL, Actimize AIS, and large-scale data processing and a proven ability to deliver robust trade surveillance solutions that improve alert quality, coverage, and controls. Responsibilities: Design, develop, and maintain complex PL/SQL packages, procedures, functions, and triggers for trade data processing. Build scalable data pipelines to support Trade Surveillance use cases, including market abuse detection and alert generation. Develop and optimize high-volume batch processing jobs and complex SQL for extraction, reconciliation, and reporting. Collaborate with compliance and surveillance teams to translate scenarios into technical solutions and support case management data structures. Ensure data lineage, traceability, and auditability across trade data flows and controls. Perform query tuning, indexing, and execution plan optimization for large datasets. Regular Points of Contact: Enterprise Risk & Finance Technology team. Business Analysts. Global Compliance & Operational Risk partners. Audit and Regulatory stakeholders. Client Interaction: No external client interaction. Regular engagement with internal business and compliance stakeholders. Example Projects & Expected End Result: Build and enhance trade surveillance data quality controls and remediate data quality issues. Reverse-engineer Actimize AIS logic and implement equivalent solutions in PL/SQL. Deliver regulator-ready solutions with measurable improvements in alert quality, coverage, and control effectiveness. Current Projects: Enterprise trade surveillance and compliance applications within Enterprise Risk & Finance Technology. Regulatory-driven initiatives on Oracle DB and CSDR platform. Surveillance and monitoring solutions for Front Office and Global Markets activity. Selling Points: High-impact role supporting regulatory compliance and risk reduction. Strong ownership and visibility across senior technology and compliance stakeholders. Opportunity to work on complex datasets and surveillance logic. Hands-on senior developer role with end-to-end accountability. Required Skills & Qualifications: 10+ years of hands-on software development experience. Expert Oracle PL/SQL and strong working knowledge of Actimize AIS. Advanced SQL with performance tuning and understanding of database internals. Experience with relational and object databases. Solid understanding of SDLC, CI/CD, and version control. Preferred Skills: Working knowledge of Python or Shell scripting for automation. Familiarity with trade lifecycle concepts, including orders and executions. Exposure to Trade Surveillance, Market Misconduct, and Global Markets Compliance. Experience with the Actimize AIS platform. Characteristics of a Top Performer: Lead design discussions and document design details. Partner with data engineers, architects, compliance, and business stakeholders. Drive best practices for database development, code quality, and documentation. Contribute to strategic initiatives such as platform modernization and surveillance re-write programs. Produce high-quality, well-tested, and scalable code in a fast-paced, regulatory-driven environment. Keywords for Search: Trade Surveillance Market Misconduct Front Running Compliance Technology Global Markets Regulatory Controls Enterprise Risk Technology Surveillance Controls Enterprise Databases SQL Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Job Title: Senior iOS Developer Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05/hr (W2) Job ID: 407601 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced iOS Engineer to join our dynamic team. The ideal candidate will have strong experience in iOS frameworks, Swift, SwiftUI, and Objective-C and a proven ability to design, build, and maintain high-quality iOS applications that meet user needs and performance specifications. Responsibilities: Design, develop, and prototype front-end applications for iOS. Translate design mockups into functional user interfaces using Swift and SwiftUI. Implement front-end logic and data interactions. Develop screens and components by integrating back-end APIs. Collaborate with the design team to define and refine app features. Participate in design reviews with middleware teams and coordinate with business on functionality. Ensure application quality and performance to specifications. Identify potential problems and resolve application bottlenecks. Fix application bugs prior to final release. Maintain core code and support automation of the application. Design and implement application updates and App Store releases. Build and maintain next-generation iOS mobile applications for the latest Apple devices. Required Skills & Qualifications: Bachelor's degree in Computer Science or Master's in Software Engineering. 5+ years of experience in iOS development using Swift, SwiftUI, UIKit, and Objective-C. Hands-on experience with Git and Bitbucket for version control. Proficiency with biometrics, push notifications, and camera APIs. Proven experience as a UI/UX developer for iOS mobile applications. Proven experience as an app developer with published applications. Must have hands-on experience with Copilot. Preferred Skills: Experience with continuous integration and unit testing. Ability to thrive in a fast-paced, team-based environment. Strong written and verbal communication skills. Focus on troubleshooting and issue resolution. Role Logistics On resume, include current location, relocation plan, availability or start date, and cooling-off status if applicable. Approved location: Charlotte, NC. Hybrid schedule with a minimum of 3 days per week onsite. Start month: ASAP. Maximum 3 submissions per vendor. Interview process: 1-2 rounds. Video required. Glider ID verification. Primary Skill iOS development with Swift and SwiftUI. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume including current location, relocation plan, availability, and any cooling-off requirements.

Senior Product Experience Designer (Enterprise UX) Overview / Summary We are seeking hands-on Product Experience Designers to support strategic Operations modernization initiatives. In this role, you will help modernize internal experiences used by underwriters, call center representatives, agents, and agent team members, with a focus on complex workflows, legacy-system challenges, and improved end-to-end service experiences. The ideal candidate can independently lead complex experience workstreams from discovery through design execution, partnering closely with business analysts, product managers, developers, designers, and Experience Leads to deliver human-centered design solutions. Key Responsibilities Own complex experience design workstreams from discovery through design execution. Conduct stakeholder and user interviews. Map current-state and future-state user journeys. Synthesize research findings and analytics to identify pain points and opportunities. Define user scenarios and workflow requirements. Create information architecture and user flows. Develop wireframes, high-fidelity designs, and interactive prototypes in Figma. Iterate designs based on stakeholder feedback and usability findings. Partner with business analysts, product managers, developers, designers, and Experience Leads. Translate business requirements into human-centered design solutions. Present design rationale and educate partners on UX principles. Balance business needs, user needs, technical constraints, accessibility requirements, and design-system standards. Use research and analytics to support continuous improvement. Follow internal design practices, training materials, and native design-system standards. Contribute to the design of AI-enabled workflows and utilize GenAI tools for synthesis and design exploration. Required Qualifications Strong product experience design, enterprise UX, and systems-thinking capabilities. Ability to quickly learn business operations domains, including agent support, underwriting support, call center workflows, case/task management, and internal service experiences. Experience with business storytelling, problem framing, research interviewing, journey mapping, affinity mapping, insight synthesis, hypothesis formulation, storytelling, critical evaluation, information architecture, scenario development, stakeholder communication, and cross-functional collaboration. Ability to translate ambiguous input into clear design direction. Proficiency in Figma, including: User flows Wireframes High-fidelity design Interactive prototypes Design documentation Experience with journey mapping and experience mapping for complex workflows and multi-role journeys. Experience applying design-system components and patterns consistently. Strong information architecture, user-flow creation, scenario development, and complex workflow design skills. Experience supporting user research and usability testing, including interviews, synthesis, findings documentation, and iterative design. Understanding of accessibility fundamentals. Comfortable using GenAI tools for synthesis and design exploration. Ability to work independently with limited supervision while collaborating across cross-functional teams. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Minimum of five (5) years of experience in software quality assurance, software testing, or test management, preferably supporting enterprise application development, system modernization, or digital transformation initiatives. Minimum of three (3) years of experience serving as a Test Manager or Test Lead responsible for planning, coordinating, and managing testing activities across multiple project teams. Experience developing and implementing enterprise test strategies, master test plans, test schedules, testing methodologies, and quality assurance processes. Experience managing all phases of the software testing lifecycle, including requirements analysis, test planning, test design, test execution, defect management, user acceptance testing (UAT), implementation validation, and post-production support. Experience developing and maintaining test scenarios, test cases, test scripts, test data, requirements traceability matrices, and test summary reports. Experience coordinating functional, integration, system, regression, end-to-end, performance, accessibility, and user acceptance testing. Experience establishing and managing defect management processes, including defect logging, prioritization, triage, tracking, reporting, retesting, and closure. Experience working collaboratively with business stakeholders, business analysts, project managers, developers, system integrators, vendors, and technical support teams to ensure testing activities align with project objectives. Experience validating business workflows, business rules, case management processes, system integrations, reporting functionality, security roles, notifications, and data integrity. Experience supporting Agile, Scrum, Waterfall, and hybrid software development methodologies. Experience using enterprise test management and defect tracking. Strong analytical, organizational, problem-solving, facilitation, communication, and technical writing skills. Ability to prepare executive-level testing metrics, dashboards, quality reports, risk assessments, and go-live readiness recommendations. Proficiency with Microsoft Office Suite, including Excel, Word, PowerPoint, Visio, Project, SharePoint, and Teams.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Tech Summary The IS Consultant IV, Application Security position is a senior hands-on technical role responsible for leading complex application security assessments and advancing secure software development practices across the organization. The consultant will conduct secure code reviews, static and dynamic application security testing, open source component analysis, API and mobile application security assessments, threat modeling, security architecture reviews, vulnerability validation, and remediation guidance. The ideal candidate has advanced software development and application security experience using Java, Python, JavaScript, .NET, Swift, or similar technologies. The candidate should have practical experience with application security testing solutions, penetration testing tools such as Burp Suite or OWASP ZAP, and integrating security controls into CI/CD pipelines. This role requires the ability to independently lead complex assessments, define secure development standards and guardrails, evaluate third party applications, and influence architecture and engineering decisions. The consultant will collaborate with developers, architects, product owners, vendors, security leaders, and executive stakeholders to communicate technical risk clearly and provide actionable remediation recommendations. Experience with cloud native applications, APIs, mobile applications, AI enabled applications, DevSecOps automation, and healthcare or other regulated environments is preferred. Job Summary: In addition to responsibilities listed below, this position is responsible for reviewing application source code for potential security vulnerabilities by performing manual and automated security testing on applications in a running state (DAST); working with DevOps teams to integrate application security services; training DevOps personnel and developers to use application security tools; working one-on-one with developers to help them understand security vulnerabilities at hand and to identify/suggest remediation plans; and recommending application security training paths. This also includes responsibility for protecting applications in production by enrolling them for continuous assessment of existing and emerging threats, evaluating web application firewalls; tuning WAF rules; reviewing alerts; and identifying issues as appropriate. Essential Responsibilities: Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating and assigning resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks, as appropriate; and recognizing and capitalizing on improvement opportunities. Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others and managers; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. Effectively communicates investigative findings to non-technical audiences. Collaborates with technology risk teams and business stakeholders to respond to and remediate identified issues, and determine the best approach for improving security posture. Provides recommendations to management and business stakeholders on how to remediate issues identified through security testing processes. Identifies the impact of security test plans on upstream and downstream solution components. Supports information sharing and integration procedures across cyber security through the exchange of threat intelligence and cyber security vulnerability assessment data. Contributes to cyber security intellectual capital by making process or procedure improvements, conducting brown bag training sessions, and creating new training documents. Follows established processes to ensure KPI goals are obtained and performance metrics are tracked on an ongoing basis. Recommends business line or business technology team security process improvements which align with sustainable best practices, and the strategic and tactical goals of the business. Supports continuous process improvement by participating in the development, implementation, and maintenance of standardized security tools, templates, and processes across multiple business domains. Performs complex security test data analysis in support of security vulnerability assessment processes, including root cause analysis. Serves as an escalation point on issues, dependencies, and risks related to security testing. Executes the vulnerability assessment and penetration testing plan, methodologies, and standard processes for moderately to highly complex technology initiatives across multiple IT domains by analyzing business and technology requirements. Researches and stays abreast of industry trends, emerging threats, best practices, and cutting edge techniques to creatively discover and exploit vulnerabilities, and recommend security solutions for technology systems. Provides insight and consultation on the development of testing scope and approach, and collaborates with cross-functional IT and business stakeholders to review the overall testing approach. Validates security test scenarios across various SDLC phases (e.g., development, reproduction, production) for low- to moderately-complex projects. Generates scheduled reports (e.g., status updates, risk assessment reports, remediation reports) and provides regular security metrics to IT teams and management as appropriate. Minimum Qualifications: Minimum three (3) years software or application development experience. Minimum one (1) year experience in application security (e.g., source code analysis, dynamic analysis, etc.). Bachelors degree in Business Administration, Computer Science, Social Science, Mathematics, or related field and Minimum six (6) years experience in IT or a related field, including Minimum two (2) years in information security, network engineering, or application development. Additional equivalent work experience may be substituted for the degree requirement. Additional Requirements: