Security Concierge Jobs

We have Pega Product Engineer requirements for the below modules: Pega – Payments Smart Investigate PEGA – KYC/CLM Pega - ACDD Pega – Payments Smart Investigate Education · Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience · 8-12 years of experience in Pega and Pega Certified Product Engineer · Pega Lead Product Engineer playing upto Architect/ CSSA or LSA Certification is highly desirable · Understanding of large and complex code bases, including design techniques · Experience in defining Business Processes using Pega platform for payment investigations · System design and implementation, Experience in Integration Services of PRPC – Rule-Connects/Services, developing activities, PRPC User Interface development and implementation of Declarative Processing features Technical Skills · Experience in Pega Smart Investigate 8.X Experience is mandatory · The candidates will act as a Smart Investigate SME for the bank from Pega Platform perspective · Good understanding and experience in Client Server applications, Digital applications and Business Functions · Should have knowledge on API and JSON to support REST Integration · Should have good understanding of KAFKA Topics and Data flows Functional Skills · Experience in Banking, Financial and Fintech experience in an enterprise environment preferred · Experience in following best Coding, Security, Unit testing and Documentation standards and practices · Experience in Agile methodol

About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency. About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time. Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends. Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation. Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability. Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems. Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure. You might thrive i

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying cutting-edge technology to solve complex problems and enhance delivery experiences for millions of users, we want to talk to you! The Air team is focused on bringing the dream of fast, efficient, and delightful last mile delivery through the air to life. As one of the leaders in this space, we believe strongly in the promise of combining advanced robotics, aviation, and operational innovation to bring this high flying technology into our 3-sided marketplace. We are a team of doers, heavily focused on bringing our products and visions to market. About the Role Are you an engineer passionate about using UAV technology to reimagine logistics? Do you thrive in developing and deploying state-of-the-art systems in real-world environments? Do you love getting your hands dirty and turning large visions into practical realities? If so, we want to talk to you! You're excited about this opportunity because you will... Design and implement backend services for autonomous drone delivery that integrates with core DoorDash data, focusing on intelligent path planning, real-time fleet management, and dynamic airspace awareness. Develop and maintain robust, scalable, and fault-tolerant systems to manage a fleet of delivery drones, ensuring safe and efficient operations. Implement simulations and testing frameworks to validate the performance and reliability of path planning algorithms. Improve performance, reliability, scalability, and security for our drone backend systems, with a particular emphasis on ensuring safe and compliant drone operations. Introduce tools and best practices to accelerate our drone development process and ensure adherence to aviation regulations. We're excited about you because you have... B.S., M.S., or Ph.D. in Computer Science, Robotics, Aerospace Engineering, or

Education: Degree, Post graduate in Computer Science or related field (or equivalent industry experience) Experience: Minimum 5 years of Product experience in Finacle Core Banking product (Infosys/Edgeverve) Working experience on Finacle 11 requirement and product capability along with Customization architecture Experience in handling Finacle Interfacing requirements (Custom and Product APIs/Connect 24/Finacle Integrator) Need to have experience of direct interaction with Clients Technical Skills: Good understanding of Finacle Product Architecture & Customization layers. Finacle customization flow understanding (New custom menu, Reports - MRT & Jasper, Batch job, Product menu customization, FI, EOD-BOD process and debugging) Experience in best practices to be followed in Oracle (SQL, PL/SQL, Stored Procedures, Triggers, Functions) related to Finacle application. Experience in Finacle scripting, Unix shell scripting and Report designing. Good understanding of Finacle Integrator and feasible enhancements to the same. Functional Skills: Finacle Core Banking Functional knowledge Good understanding of Banking domain and terminologies used. Finacle certification from Infosys will be added advantage Finacle CRM and Admin module (FINFADM/SSOADM) Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Agile methodology. Ensure quality of technical and application architecture and design of systems across the organization. Effectively research and benchmark technology against other best in class technologies. Soft Skills: Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness by sharing deep knowledge and experience. Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization. Have excellent soft skills and interpersonal skills to interact and present the ideas

As a DevOps Engineer (AWS) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain AWS cloud infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, CloudFormation, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using CloudWatch and other AWS monitoring tools to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and mai

As a DevOps Engineer (Azure) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities : Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain Azure cloud infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, ARM Templates, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Azure Monitor, Application Insights, and Log Analytics to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best

As a DevOps Engineer (Azure) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities : Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain Azure cloud infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, ARM Templates, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Azure Monitor, Application Insights, and Log Analytics to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best practices in infrastruct

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best practices in infrastruct

As a DevOps Engineer (GCP) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain GCP infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Deployment Manager, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using Cloud Monitoring and Cloud Logging to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and maintain security best practices in infrastruct

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking skilled and motivated Senior Software Engineer, Backend Development(BotBonnie) to join our dynamic team. As a Senior Backend Development (BotBonnie), you will play a crucial role in designing, developing, and maintaining the server-side applications that power our web. Responsibilities Develop efficient and scalable backend services using Node.js, Express.js, and other relevant technologies. Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to design and implement robust APIs and web services. Ensure the performance, security, and reliability of server-side applications, identifying and resolving bottlenecks and bugs as necessary. Integrate with databases and data storage solutions, such as MongoDB, MySQL, Redis, RedShift or other NoSQL databases. Implement unit tests and conduct code reviews to maintain high code quality and foster a collaborative development environment. Participate in architectural discussions and contribute innovative ideas to improve system architecture and performance. Stay up-to-date with the latest trends and advancements in Node.js and backend technologies to propose suitable improvements to existing systems. Troubleshoot and debug production issues, providing timely resolutions and minimizing downtime. Optimize applications for maximum speed and scalability, considering factors like caching, load balancing, and distributed systems. Continuously improve development processes and best practices to ensure efficient and reliab

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: Be open to >50% onsite work in a secured space. Collaborate with cross-functional teams to define and execute the vision for data pipelines and agents. Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back. Deploy and maintain Scale software at customer sites. Develop customer requested features and work closely with them to ensure that they win customer love. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. This role will require at minimum an active Secret clearance and willingness to obtain a TS/SCI security clearance. Ideally you have: Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles. Prior experience developing with Python Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Unders

アカウントエグゼクティブ（Mid-Market担当） DatadogのMid-Market Salesチームでは、従業員数1,000～5,000名規模の企業をターゲットに、新規顧客の獲得を通じて事業成長を支えるアカウントエグゼクティブ（AE）を募集しています。 本ポジションでは、中堅〜大手企業に対する新規営業活動を戦略的にリードし、契約獲得まで一貫して担当いただきます。 当社の営業メンバーは、明確に定義されたセールスメソッドに基づき、社内ステークホルダーやパートナーエコシステムと連携しながら、顧客ごとの課題やニーズを深く理解し、Datadogのソリューション価値を的確に伝えています。Mid-Market AEとして、営業スキルをさらに磨きながら、Datadogのチームの成功に継続的に貢献できるキャリアパスが用意されています。 Datadogでは、オフィス文化を非常に大切にしています。対面での関係構築やコラボレーションが生む創造性を重視しながらも、ハイブリッドワーク環境を採用することで、一人ひとりに合った柔軟なワークライフバランスの実現を支援しています。 【業務内容】 新規ロゴ（新規顧客）獲得に特化した営業活動 交渉から技術デモに至るまで、営業サイクル全体をリード 商談の背景にあるビジネス要因を正確に把握 顧客の業務や事業構造を深く理解し、適切なアプローチを設計 CTO、エンジニアリング／ITリーダー、SRE・DevOps・DevSecOpsなどの技術系ステークホルダーへの戦略的アプローチ 複雑な組織内の複数部門にまたがるマルチスレッド営業 SDR（Sales Development Representative）、パートナー、マーケティングと連携したリード創出活動 Sales NavigatorやDemandbaseなどのツールを活用した、リアルタイム信号・リサーチに基づくモダンな営業戦略の実践 【求める人物像】 新たなテクノロジーに対する好奇心が強く、それらがビジネス成果とどう関わるかに興味がある方 新規顧客開拓（ハンティング）に実績があり、アカウントマッピングや潜在顧客へのアプローチに長けている方 パイプライン創出スキルが高く、顧客の前でも物怖じせず、自発的かつ創造的に行動できる方 出張を含む営業活動に対応可能な方（移動手段：車・電車・飛行機／最大30%） 【待遇・成長機会】 成果に応じた高い収入を実現可能 成績上位者に贈られる「President’s Club」への選出チャンス 入社時に付与されるストックオプション（RSU）および従業員持株購入制度（ESPP） 継続的なプロダクト研修、営業・技術両面のトレーニング、明確なキャリアパス 社内メンター・バディ制度によるネットワーキング支援 多様性を尊重したインクルーシブな企業文化と、社内コミュニティ（Guilds）への参加機会 グローバルで充実した福利厚生制度 ※上記の福利厚生・報酬制度は、勤務国および雇用形態により異なる場合があります。 Datadogでは、多様なバックグラウンドを持つ方々を歓迎しています。すべての要件を初日から満たしている必要はありません。 テクノロジーへの情熱があり、経験を積みたいという意欲がある方は、ぜひご応募ください。あなたの成長を全力でサポートします。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at D

Commercial Account Executive (AE)은 중소규모 시장에서 전략적으로 신규 고객을 유치하고 거래를 성사시켜 Datadog의 전반적인 비즈니스 성장을 지원하게 됩니다. 영업 담당자는 잘 정의된 방법론을 따르고, 내부 이해관계자와 협력하며, 고객의 고유한 요구 사항을 파악하고, Datadog 제품의 가치를 명확하게 전달합니다. AE는 영업 분야에서 경력을 쌓고 Datadog 팀의 성공에 지속적으로 기여할 수 있는 기회를 갖게 됩니다. Datadog은 사무실 문화를 통해 구축되는 관계와 협업, 창의성을 중시합니다. 우리는 데이터독 직원들이 자신에게 가장 적합한 일과 삶의 조화를 이룰 수 있도록 하이브리드 업무 환경을 운영하고 있습니다. 담당 업무 아웃바운드 활동을 통한 신규 로고 확보에 집중 지속적인 제품 및 영업 교육을 통해 데이터독 전문가 기술 데모 및 협상을 포함한 전체 영업 주기를 관리 영업 개발 담당자와 협업하여 퍼널 상단의 활동을 촉진 최고 기술 책임자, 엔지니어링/IT 리더, 기술 최종 사용자를 전략적으로 전망 자격 요건 영업 사원으로서의 호기심, 추진력, 동기를 갖춘 분 창의적으로 어카운트를 매핑하고 세분화할 수 있는 분 피드백을 통해 학습하고 성장 마인드를 고취할 수 있는 분 고도로 기술적이고 빠르게 변화하는 환경에서 편안한 운영이 가능한 분 검증된 성공 실적과 함께 할당량을 운반한 경험이 있는 분 Datadog은 모든 계층의 사람들을 소중히 여깁니다. 모든 사람이 입사 첫날에 위의 모든 자격 요건을 충족하지 못할 수도 있습니다. 괜찮습니다. 기술에 대한 열정이 있고 경험을 쌓고 싶다면 지원하실 것을 권장합니다. 혜택 및 성장 자기 성과에 따른 고소득 창출 기회 신규 채용 우리사주(RSU) 및 직원 주식 매입 계획(ESPP) 지속적인 전문성 개발, 제품 교육 및 커리어 경로 제공 MEDDIC 및 Command of the Message 의 영업 교육 사내 네트워킹을 위한 부서 내 멘토 및 버디 프로그램 포용적인 기업 문화, 커뮤니티 길드 가입 기회 풍성한 글로벌 혜택 위에 나열된 혜택 및 성장은 근무 국가 및 데이터독 고용의 성격에 따라 달라질 수 있습니다. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics p

Full Stack Javascript & Database Developer Particle41 is seeking a talented and versatile Full Stack Developer to join our innovative team. As a Full Stack Developer, you will play a key role in designing, developing, and maintaining end-to-end software solutions that meet our clients' needs. You will work on both front-end and back-end technologies, collaborating with cross-functional teams to deliver high-quality products. This is an exciting opportunity to have an impact on projects and grow your skills in a supportive and dynamic environment. In This Role, You Will: Software Development Develop and maintain web applications using front-end technologies. Experience or knowledge in backend technology will be an advantage. Design responsive and user-friendly interfaces using modern JavaScript/TypeScript frameworks such as NextJS, React.js or Angular and front-end CSS frameworks like Tailwind and Bootstrap Create RESTful, GraphQL APIs to enable communication between backend and front-end applications. Write clear and concise documentation for APIs, including usage guides and code examples, to facilitate integration by internal and external developers. Basic understanding of Open API specifications. Write clean, efficient, and well-documented code following industry best practices and coding standards. Strong understanding of the Node.js ecosystem and architecture and integrations with popular third-party libraries. Implement API authentication and authorization mechanisms, such as OAuth, JWT, or API keys, to ensure data security and privacy. Requirements Gathering and Analysis Collaborate with designers, product managers, and other stakeholders to gather requirements and translate them into technical solutions. Participate in requirement analysis sessions to understand business needs and user requirements. Provide technical insights and recommendations during the requirements-gathering process. Agile Development Participate in Agile development processes,