10 Architecture Diagrams Jobs

The role involves designing and implementing scalable, high-performance backend applications using the Node.js framework to address business requirements. Candidates must have a strong background in Node.js development, architectural design, and software engineering. Leadership skills in guiding development teams, collaborating with diverse stakeholders, and delivering complex projects within specified timelines and budgets are essential. Effective communication, problem-solving, and analytical abilities are crucial. Proficiency in technologies such as databases, caching systems, and message brokers is beneficial for this position. Responsibilities: - Designing and developing backend systems, including databases, APIs, and microservices, to meet business requirements and performance objectives. - Collaborating with cross-functional teams to define technical requirements, system architectures, and integration points. - Creating technical specifications, architecture diagrams, and design documents to outline system structure, functionality, and interfaces. - Conducting code assessments, providing technical direction, and mentoring the development team to ensure code excellence, sustainability, and scalability. - Ensuring compliance with industry coding standards, development methodologies, and security protocols. - Innovating and evaluating emerging technologies and approaches to deliver scalable solutions that align with clients" business objectives. Requirements: - 7+ years of experience in designing and developing large-scale web applications using Node.js. - Expertise in Node.js and its ecosystem, including popular libraries and frameworks. - Experience working on large-scale projects with Typescript. - Familiarity with testing suites like Jest, Jasmine, or Mocha. - Strong understanding of AWS services. - Solid knowledge of database design and SQL. - Proficiency in RESTful web services and API development. - Excellent problem-solving and debugging skills. - Strong communication and collaboration skills, with the ability to work effectively in a team environment.,

Conducting code reviews, providing constructive feedback to team members to maintain code quality and adherence to best practices. Inspect/Troubleshoot complex issues in production systems, employing debugging and diagnostic techniques to identify root causes and implement effective solutions. You implement monitoring and alerting solutions to proactively identify and address performance bottlenecks, system failures, and security vulnerabilities. Research and evaluate emerging cloud technologies, tools, and frameworks to recommend improvements and innovations for system architecture and development processes. Develop and maintain technical documentation, including system design, architecture diagrams, and deployment procedures, to facilitate knowledge sharing and ensure system understanding across the team. Contribute to the implementation of CI/CD pipelines, automated testing frameworks, and deployment strategies to achieve efficient and reliable software delivery What is in it for you You are a part of a brand-new org. setup with a clean slate and a mission to build a People first organization. Digital community supporting as a Cloud developer and will be working beyond borders, with international teams seeking and imparting learning through shared/individual experiences and knowledge through the community. What are we looking for(Experience / Qualifications / Skillsets / Must-haves) Education: Bachelor s degree in Engineering/Computer Science/Mathematics/Physics or a comparable qualification with 6-9 years of relevant experience. AWS experience is mandatory for all developers. Professional Attributes Good interpersonal and organizational skills Explore latest trends and technologies and have a passion for integrating them into industry-leading applications. Collaborate with team to drive solutions forward and fostering a productive work environment. Experience of working in a Scrum or Agile environment and understand the methodologies and principles involved. Ability to analyze, goal orientation, motivation, and a structured sustainable way of working. Good Communication skills (Written and verbal).

As a Machine Learning Engineer, your primary responsibility will be to design and implement end-to-end ML pipelines using GCP services and ETL tools. You will be deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential for you to implement MLOps practices including CI/CD pipelines using Git. Additionally, you will create and maintain technical architecture diagrams for GCP service implementations and develop frontend applications that integrate with ML and AI backend services. Your expertise will be crucial in optimizing big data processing workflows and improving ML model performance. To excel in this role, you must possess a strong background in Machine Learning and Deep Learning concepts. Extensive experience with GCP services, particularly AI/ML offerings, is a must. Proficiency in MLOps practices and tools is highly desirable. Hands-on experience with Docker, Kubernetes, and Git is required for this position. Your familiarity with frontend development and API integration will be beneficial. Knowledge of big data processing and analytics is essential. Furthermore, your ability to create clear technical documentation and architecture diagrams will be a significant asset to the team. Preferred qualifications for this role include Google Cloud certifications, experience with AI and GenAI models and applications, background in full-stack development, understanding of microservices architecture, experience with data pipeline optimization, as well as knowledge of Python, HTML, and Javascript. Join our team and contribute to cutting-edge projects that leverage machine learning technologies in a cloud-based environment.,

As a Gen AI Enterprise Lead Architect for Joule at SAP, you have the opportunity to be at the forefront of driving the development of SAP's big rock investment JOULE. By joining our team, you will actively contribute to shaping SAP's vision and future, playing a vital role in building a platform with natural language processing capabilities that seamlessly integrates with other SAP products. This platform aims to realize the dream of a unified digital assistant for SAP powered by LLMs, and as the architect, you will lead by example for the rest of the team. Your technical competencies are crucial for this role. With a minimum of 15+ years of hands-on experience in Java, Spring Boot, Kafka, SAP HANA, Redis, SAP BTP, and the Playwright test framework, you are expected to have a strong grasp of OOPs concepts. As the architect, you will bear the responsibility of architecting a piece of code that operates across all SAP systems for millions of users, necessitating a deep understanding of architecture concepts, diagrams, and SAP terminologies. In addition to your technical skills, your role will involve coding, debugging, reviewing peers" code, and actively participating in software development lifecycle activities under the mentorship of experienced agile engineers. You will contribute to the design and architecture of your component, own your deliverables through all agile phases, and focus on performance aspects to ensure Joule's scalability and efficiency. Having the right mindset is equally important. A team-first attitude, adherence to Agile methodologies, and a willingness to challenge the status quo are essential qualities for success in this role. You are encouraged to embrace an innovation mindset, leveraging cutting-edge technologies such as Gen AI, Business AI, and Joule to bring new ideas and prototypes aligned with the strategy. Joining the Joule team will place you at the heart of SAP's Business AI Strategy, working alongside the AI Functions team to drive innovation and contribute to the future of business operations. If you are passionate about groundbreaking projects, collaboration with talented professionals, and shaping the future of AI, we invite you to apply and become part of our dynamic and innovative team at SAP. At SAP, we believe in inclusion, health, well-being, and flexible working models to ensure that every individual, regardless of background, feels valued and empowered to perform at their best. We are committed to creating a diverse and equitable workplace where every employee can realize their full potential. Join us at SAP and be part of a purpose-driven, future-focused organization that values collaboration, personal development, and making a positive impact on the world.,

As a Machine Learning Engineer, you will be responsible for designing and implementing end-to-end ML pipelines using GCP services and ETL tools. Your role will involve deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential to implement MLOps practices, including CI/CD pipelines using Git, to ensure seamless operations. Additionally, creating and maintaining technical architecture diagrams for GCP service implementations will be part of your routine tasks. Your expertise in Machine Learning and Deep Learning concepts will be crucial for this role. Extensive experience with GCP services, particularly AI/ML offerings, is required to excel in this position. Proficiency in MLOps practices and tools is essential, along with hands-on experience in Docker, Kubernetes, and Git. Furthermore, experience in frontend development and API integration will be beneficial for developing frontend applications that integrate with ML and AI backend services. In this role, you will also be responsible for optimizing big data processing workflows and ML model performance. Knowledge of big data processing and analytics is expected, along with the ability to create clear technical documentation and architecture diagrams to ensure effective communication within the team. Preferred qualifications for this position include Google Cloud certifications, experience with AI and GenAI models and applications, and a background in full-stack development. An understanding of microservices architecture, experience with data pipeline optimization, and proficiency in Python, HTML, and JavaScript will further strengthen your candidacy for this role.,

We're looking for a highly skilled and customer-focused Solution Architect, Cloud to join our growing team in India. In this critical role, you'll work closely with our Sales and Go-to-Market (GTM) teams, acting as a technical expert to design compelling cloud solutions for our customers across various industries. Your ability to translate complex technical concepts into clear, value-driven proposals will be key to our success in the Indian market. What You'll Do Collaborate with Sales & GTM: Partner directly with sales teams to understand customer needs, challenges, and business objectives. Solution Design & Architecture: Lead the design and architecture of innovative, scalable, and cost-effective cloud solutions (IaaS, PaaS, SaaS, Hybrid) that align with customer requirements and industry best practices. Technical Proposal Development: Create detailed technical proposals, Statements of Work (SOWs), and solution architectures for prospective and existing customers. This includes defining scope, deliverables, timelines, and resource estimates. Customer Presentations & Workshops: Conduct technical presentations, demonstrations, and workshops for customers, effectively communicating the value proposition of our cloud offerings. Proof of Concept (PoC) & Pilot Support: Provide technical guidance and support for PoCs and pilot projects, ensuring successful implementation and showcasing solution capabilities. Market & Technology Insights: Stay abreast of the latest cloud technologies, industry trends, and competitive landscapes in India to inform solution strategies. Cross-Functional Collaboration: Work closely with product, engineering, and delivery teams to ensure proposed solutions are feasible, deliverable, and align with our capabilities. Technical Due Diligence: Conduct technical due diligence to assess customer environments and identify potential risks or dependencies. Relationship Building: Develop strong relationships with key customer stakeholders, acting as a trusted advisor. What You'll Bring Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field Experience : 8-15 years of experience in IT, with at least 4+ years in a Solution Architect or similar pre-sales technical role focused on cloud technologies. Proven experience working with Sales and GTM teams, specifically in a customer-facing capacity for the Indian market. Demonstrable experience in designing and proposing solutions on leading cloud platforms (AWS, Azure, GCP). Technical Acumen: Deep understanding of cloud computing concepts, services, and deployment models (IaaS, PaaS, SaaS, FaaS, Containers, Serverless). Strong knowledge of networking, security, data management, and application development within cloud environments. Familiarity with cloud migration strategies, DevOps practices, and automation tools. Proficiency in creating architecture diagrams, technical specifications, and detailed solution documents. Sales & Business Acumen: Excellent understanding of the sales lifecycle and ability to align technical solutions with business outcomes. Proven ability to articulate complex technical information to both technical and non-technical audiences. Strong commercial awareness and ability to contribute to pricing strategies. Soft Skills: Exceptional communication, presentation, and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work independently and as part of a collaborative team in a fast-paced environment. Excellent negotiation and influencing skills. Customer-centric mindset with a passion for delivering value. Other Requirements Relevant cloud certifications (e.g., AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect). Experience with specific industry verticals relevant to the Indian market (e.g., Financial Services, Manufacturing, Retail). Knowledge of emerging technologies like AI/ML, IoT, or Blockchain in a cloud context. Exp.- 8-17yrs

IBM Consulting Overview In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities Salesforce requirement gathering, drafting business cases, requirement walkthroughs with stakeholders, requirement documentation, and providing clarifications to stakeholders. Salesforce Business Analyst, good verbal and written communication, skilled in articulation of functional requirements to technical counterparts and vice versa. Responsibilities: Implementation knowledge: Experience in end-to-end Salesforce solutioning/designing experience, fit-gap analysis, impact analysis, and estimation experience. API integration knowledge: The structure and integrity of data flowing into, and out from, Salesforce. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise Experience in designing data models and architecture diagrams. Knowledge in performance improvement and tuning. Knowledge in exception handling, alerting, and monitoring mechanisms. Preferred Technical and Professional Experience Provide deep technical and industry expertise to banking sector clients.

Notice Period: Immediate Employment Type: Contract Job Description : 6 years of SIEM, or SOC experience Strong communication, written, and verbal skills Experience with writing/creation of formal documentation such as reports, slide decks, and architecture diagrams Customer service/support experience Ability to conduct in-depth forensic analytical studies and investigations Role Preferences Splunk certification Coding or scripting experience Strong knowledge of Unix/Linux Security+, GIAC, SSGB, ITIL, or similar certification Working knowledge of applicable industry controls such as NIST 800-536 or Mitre Attack Framework

Job Purpose: We are looking to hire a Devops Architect for Devops practice. Requirements: The ideal candidate should: DevOps Architect Architecture & Design: Lead the design and implementation of scalable, resilient cloud architectures on AWS, Azure, or Google Cloud Platform (GCP). Establish DevOps standards, frameworks, and architectural guidelines to drive consistency across development, QA, and production environments. Create and maintain architecture diagrams, design documents, and infrastructure specifications. CI/CD Pipeline Management: Architect and optimize CI/CD pipelines for high efficiency, supporting continuous integration, automated testing, and smooth deployment workflows. Identify and implement tools to enhance the CI/CD process, ensuring robust automation across all stages of the SDLC. Enable version control and release management processes aligned with development needs. Infrastructure Automation & IaC: Develop and enforce infrastructure-as-code (IaC) practices using tools like Terraform, CloudFormation, or Ansible, ensuring repeatable and secure deployments. Integrate configuration management and provisioning tools to support a fully automated and self-healing infrastructure. Promote containerization, orchestration (Docker, Kubernetes), and microservices architecture for seamless application scaling. Monitoring & Incident Management: Design and implement comprehensive monitoring, logging, and alerting systems for real-time observability and proactive response. Collaborate with operations and security teams to build resilient systems with rapid incident response and disaster recovery capabilities. Security & Compliance: Architect security best practices into the DevOps pipeline, including identity management, access control, and vulnerability scanning. Ensure DevOps processes adhere to regulatory and industry standards (e.g., GDPR, ISO) and maintain data integrity across environments. Continuous Improvement & Innovation: Lead evaluations of new tools, technologies, and processes, advocating for improvements in DevOps practices. Champion a culture of continuous learning, knowledge-sharing, and innovation, empowering teams to implement efficient DevOps solutions. Actively engage with technology communities to stay informed on the latest DevOps trends and innovations. Required Skills & Qualifications: Educational Background: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Technical Expertise: 10+ years 8+ years of experience in DevOps, infrastructure engineering, or a related field with 3+ years in a DevOps architecture role. Preferrable Azure cloud platform, cloud agonistic Expert in CI/CD tools like Jenkins, GitLab CI/CD, Azure DevOps, and related plugins. Extensive knowledge of cloud platforms (AWS, Azure, GCP) and their respective architecture best practices. Advanced expertise in IaC tools (Terraform, CloudFormation, Ansible) and orchestration platforms (Kubernetes, Docker). Proficient with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, Splunk) for large-scale, high-availability systems. Scripting & Programming: Strong scripting abilities in Python, Bash, or PowerShell, with knowledge of automation frameworks. Experience with API integration and automation, leveraging RESTful services and third-party integrations. Soft Skills: Strong leadership skills, with a focus on cross-functional collaboration, mentoring, and strategic vision.

Job Roles & Responsibilities: The Data Architect needs to be able to have an end-to-end vision, and to see how a logical design will translate into Databases, and how the Data will flow through the successive Stages involved. Candidate will need to be able to address issues of Data Migration (Validation, Clean-up and Mapping), and will need to understand the importance of Data Dictionaries. Design and implement effective database solutions and models to store and retrieve company data. Examine and identify database structural necessities by evaluating client operations, applications, and programming. Develops database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications. Assess database implementation procedures to ensure they comply with internal and external regulations. Experienced in databases technologies including schema design, query tuning, performance optimization, and diagnostics gathering. Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware optimization. Install and organize information systems to guarantee company functionality. • Prepare accurate database design and architecture reports Oversee the migration of data from legacy systems to new solutions. Monitor the system performance by performing regular tests, troubleshooting and integrating new features. Recommend solutions to improve new and existing database systems. Educate staff members through training and individual support. Offer support by responding to system problems in a timely manner. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Providing technical expertise on data storage structures, data mining, and data cleansing. High-level experience in methodologies and processes for managing large scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. Candidate Requirements: Minimum Experience - 12 + years in MS SQL, currently designated as DB architect. Skills Required: MS SQL, SSIS, SSRS, MSBI, reporting services (Power BI is preferred), database structure systems and data mining. Must possess excellent communication skills(verbal and written). Should be able to prepare DB documentation, including architecture