7042 Cloud Computing Jobs - Page 39

Job Advertisement Your Title: AI Operations Engineer Job Location: Chennai Our Department: CMS Are you passionate about deploying, monitoring, and scaling machine learning systems in production environments and eager to contribute to robust AI infrastructure within a collaborative team What You Will Do This role offers an exciting opportunity to begin a career in AI/ML operations engineering, working within a dynamic team that values reliability and continuous improvement. The successful candidate will contribute to the deployment and maintenance of AI/ML systems in production, gaining hands-on experience with MLOps best practices and infrastructure automation. This position provides a structured environment for developing core competencies in ML system operations, DevOps practices, and production ML monitoring, with direct guidance from experienced professionals. Assist in the deployment and maintenance of machine learning models in production environments under direct supervision, learning containerization technologies like Docker and Kubernetes. Support CI/CD pipeline development for ML workflows, including model versioning, automated testing, and deployment processes using tools like Jenkins, GitLab CI, or GitHub Actions. Monitor ML model performance, data drift, and system health in production environments, implementing basic alerting and logging solutions. Contribute to infrastructure automation and configuration management for ML systems, learning Infrastructure as Code (IaC) practices with tools like Terraform or CloudFormation. Collaborate with ML engineers and data scientists to operationalize models, ensuring scalability, reliability, and adherence to established MLOps procedures and best practices. What Skills & Experience You Should Bring Required: Bachelors degree in Computer Science, Engineering, Information Technology, or a closely related technical field. Trimbles Professional ladder typically requires four or more years of formal education. Foundational knowledge of DevOps principles and practices, with understanding of CI/CD concepts and basic system administration. Proficiency in at least one relevant programming language (e.g., Python, Bash) with focus on automation scripting and system integration. Understanding of containerization technologies (Docker) and basic orchestration concepts (Kubernetes fundamentals). Familiarity with version control systems (Git) and collaborative development workflows. Basic understanding of machine learning concepts and the ML model lifecycle from development to production. Preferred: Experience with cloud computing platforms (AWS, Azure, GCP) and their ML/AI services (SageMaker, Azure ML, Vertex AI). Familiarity with MLOps tools and frameworks (MLflow, Kubeflow, DVC, or similar). Basic experience with monitoring and observability tools (Prometheus, Grafana, ELK stack). Understanding of Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience with Linux system administration and command-line tools. Knowledge of database systems and data pipeline technologies. Exposure to model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime). Basic understanding of security best practices for ML systems and data governance.

Your Title: AI Operations - Engineer Job Location: Chennai Our Department: CMS Are you passionate about deploying, monitoring, and scaling machine learning systems in production environments and eager to contribute to robust AI infrastructure within a collaborative team What You Will Do This role offers an exciting opportunity to begin a career in AI/ML operations engineering, working within a dynamic team that values reliability and continuous improvement. The successful candidate will contribute to the deployment and maintenance of AI/ML systems in production, gaining hands-on experience with MLOps best practices and infrastructure automation. This position provides a structured environment for developing core competencies in ML system operations, DevOps practices, and production ML monitoring, with direct guidance from experienced professionals. Assist in the deployment and maintenance of machine learning models in production environments under direct supervision, learning containerization technologies like Docker and Kubernetes. Support CI/CD pipeline development for ML workflows, including model versioning, automated testing, and deployment processes using tools like Jenkins, GitLab CI, or GitHub Actions. Monitor ML model performance, data drift, and system health in production environments, implementing basic alerting and logging solutions. Contribute to infrastructure automation and configuration management for ML systems, learning Infrastructure as Code (IaC) practices with tools like Terraform or CloudFormation. Collaborate with ML engineers and data scientists to operationalize models, ensuring scalability, reliability, and adherence to established MLOps procedures and best practices. What Skills & Experience You Should Bring Required: Bachelors degree in Computer Science, Engineering, Information Technology, or a closely related technical field. Trimbles Professional ladder typically requires four or more years of formal education. Foundational knowledge of DevOps principles and practices, with understanding of CI/CD concepts and basic system administration. Proficiency in at least one relevant programming language (e.g., Python, Bash) with focus on automation scripting and system integration. Understanding of containerization technologies (Docker) and basic orchestration concepts (Kubernetes fundamentals). Familiarity with version control systems (Git) and collaborative development workflows. Basic understanding of machine learning concepts and the ML model lifecycle from development to production. Preferred: Experience with cloud computing platforms (AWS, Azure, GCP) and their ML/AI services (SageMaker, Azure ML, Vertex AI). Familiarity with MLOps tools and frameworks (MLflow, Kubeflow, DVC, or similar). Basic experience with monitoring and observability tools (Prometheus, Grafana, ELK stack). Understanding of Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience with Linux system administration and command-line tools. Knowledge of database systems and data pipeline technologies. Exposure to model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime). Basic understanding of security best practices for ML systems and data governance.

About Avegen Avegen is a digital healthcare company empowering individuals to take control of their health and supporting healthcare professionals in delivering life-changing care. Avegens core product, HealthMachine , is a cloud-hosted, next-generation digital healthcare engine for pioneers in digital healthcare, including healthcare providers and pharmaceutical companies, to deploy high-quality robust digital care solutions efficiently and effectively. We are ISO27001, ISO13485, and Cyber Essentials certified; and compliant with the NHS Data Protection Toolkit and GDPR. Job Summary As a Senior Software Engineer at Avegen, you will be responsible for developing, designing, and maintaining our platform using cutting-edge AI-native development workflows. This role requires proficiency with agentic development tools and the ability to leverage AI assistance for accelerated development cycles. You will be using the pro versions of such agentic tools (specifically Windsurf, Cursor, Claude or equivalent) on a Macbook from day one. Youll be creating and implementing new features, troubleshooting and debugging issues, optimizing app performance, collaborating with cross-functional teams, and staying current with the latest advancements in AI-assisted development, React.js, Next.js, React Native and mobile app development. We are looking for exceptional candidates who combine deep technical expertise in React, JavaScript, and TypeScript with proficiency in modern AI development tools and are obsessed with creating the best experiences for end users through efficient AI-native workflows. Key Responsibilities AI-Native Development & Agentic Tools Utilize agentic development tools (Windsurf, Cursor, or similar) to accelerate development cycles and enhance code quality Implement AI-assisted coding workflows for feature development, debugging, and code optimization Lead adoption of AI-native development practices across the engineering team Evaluate and integrate new AI development tools and methodologies Develop MCP servers, RAG servers to help us supercharge our AI-native workflows Mobile Application Development Architect and build performant mobile applications on both iOS and Android platforms using React Native Work with managers to provide technical consultation and assist in defining the scope and sizing of work Lead configuration of our platform HealthMachine in line with functional specifications and development of platform modules with a focus on quality and performance Write well-documented, clean JavaScript/TypeScript code to build reusable components in the platform Quality & Compliance Maintain compliance with standards such as ISO 27001, ISO 13485, and Cyber Essentials that Avegen adheres to Maintain code, write automated tests, and assist DevOps in CI/CD to ensure the product is of the highest quality Lead by example in best practices for software design and quality, incorporating AI-assisted testing and quality assurance Leadership & Mentoring Train team members on AI-native development workflows, software design principles, and emerging technologies through regular engineering workshops Mentor junior engineers on both traditional development practices and modern AI-assisted workflows Stay current with AI development tools and technologies to identify the best solutions for the job Requirements Essential Requirements AI-Native Development Experience Proficiency with agentic development tools such as Windsurf, Cursor, GitHub Copilot, or similar AI coding assistants Experience integrating AI tools into development workflows for enhanced productivity Demonstrated ability to leverage AI for code generation, debugging, and optimization Mobile Development Expertise Hands-on experience working in a product company developing consumer-facing mobile apps that are deployed and currently in use in production Must have at least 3 mobile apps live in the Apple App Store/Google Play Store In-depth understanding of React Native and its ecosystem with the latest features Strong familiarity with native development tools such as Xcode and Android Studio Technical Skills Expert-level proficiency in React, JavaScript, and TypeScript Experience in writing modular, reusable custom JavaScript/TypeScript modules that scale well for high-volume applications Experience in building mobile apps with intensive server communication (REST APIs, GraphQL, WebSockets, etc.) Excellent command of version control systems like Git Hands-on experience in database technologies including RDBMS and NoSQL Professional Skills Proven ability to mentor junior engineers and lead technical initiatives Solid attention to detail, problem-solving, and analytical skills with excellent troubleshooting capabilities Self-starter, able to work in a fast-paced, deadline-driven environment with multiple priorities A positive, "can do" attitude who isnt afraid to lead complex React Native implementations Process & Methodology Good command of Unix operating system and understanding of cloud computing platforms like AWS, GCP, Azure Working experience in Agile/SCRUM methodology and understanding of the application life cycle Experience working with project management tools like Atlassian JIRA Preferred Qualifications Open source contributions and experience developing your own React Native wrappers for native functionality Experience with AI-assisted testing and quality assurance tools Contributions to AI development tool communities or plugins Experience with prompt engineering and AI model integration in development workflows Qualifications BE/BTech/MS in Information Technology, Computer Science, or a related discipline. What We Offer Opportunity to work with cutting-edge AI development tools Professional development budget for AI tooling and training Collaborative environment that embraces innovation and AI-native workflows Chance to make a meaningful impact in digital healthcare

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The Software Development Engineer-Test position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. You ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen s Applied AI & Automation Footprint. In this role, you will be responsible for ensuring the quality and compliance of enterprise automation solutions & platforms, with a strong focus on computer systems validation including test automation, test planning, execution, and defect management. You will work closely with product owners, developers, and QA teams to validate systems against business and regulatory requirements. This role is critical in ensuring that automation solutions meet performance, security, and compliance expectations across the development lifecycle, especially in GxP-regulated environments. Roles & Responsibilities: Build out test engineering practices, standards, community and lead by execution in creating a new culture around the test automation demeanor. Design, develop and maintain automated and manual test cases based on functional and non-functional requirements. Perform responsibilities in compliance with GxP and Computer System Validation (CSV) regulations, ensuring proper documentation, execution, and adherence to regulatory standards. Create and maintain the Requirement Traceability Matrix (RTM) to ensure full test coverage. Log, track and manage defects using tools such as HP ALM or JIRA, ensuring clear documentation and traceability. Assist in User Acceptance Testing (UAT), working closely with business stakeholders. Execute tests including Systems Integration Testing (SIT), Operational Qualification (OQ), and regression testing. Execute test scripts provided by analysts, focusing on accuracy and completeness of testing. Collaborate with developers to ensure all identified bugs and issues are addressed and resolved effectively. Support automation testing efforts by building and maintaining scripts in tools like UiPath Test Suite, Selenium, or similar tools. Maintain detailed documentation of test cycles, supporting audit readiness and compliance. Basic Qualifications Bachelor s degree and 2 to 6 years of Computer Science, IT or related field experience Preferred Qualifications: BS/MS in Computer Science, Information Systems, or related field 3+ years of experience in application testing and automation frameworks Functional Skills: Must-Have Skills: Strong experience in designing and executing both manual and automated test cases based on functional and non-functional requirements. Strong knowledge of test lifecycle documentation including test plans, RTMs, OQ protocols, and summary reports Hands-on experience with UiPath Test Suite, Selenium, Postman, or similar tools. Experience in validated (GxP) environments and with CSV practices Good-to-Have Skills: Develop, enhance, and maintain test automation scripts using data-driven, keyword-driven, or hybrid frameworks, enabling reusable, scalable, and maintainable test coverage across systems. Proficient in creating test lifecycle documentation (RTMs, OQ protocols, test plans, reports) and supporting end-to-end testing within regulated GxP and CSV-compliant computer systems, ensuring adherence to validation, audit, and documentation standards Familiarity with Agile/Scrum methodologies and continuous testing practices Strong test design and problem-solving skills. Familiarity with Jenkins, GitHub Actions, or similar tools for integrating testing into DevOps pipelines. Experience collaborating with Cross-Functional teams, particularly within healthcare or pharmaceutical environments. Experience in handling product features for PI planning and developing product roadmaps and user journeys Able to communicate complex subject matters in business terms Familiarity with GxP, CFR 21 Part 11 and systems validation Professional Certifications ISTQB Foundation or Advanced Level Certification (Optional but valuable) Certified CSV/Validation Professional (Optional but valuable) SAFe Agile Tester Certification (Optional but valuable) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role Development of Oracle TRCS module, from translating requirements to design and build and on to testing and training. Maintaining Metadata, Smart Push, Smart view reports and objects Ability to design and create data forms, tax calculation business rules and reports Creation and optimization of Calculation Scripts/Rules based on the business requirements. Design and creation of automation using EPM Automate Your profile Experience in writing complex business rules & member formulas Developing Data input forms & security design. Data Integrations with ERP systems Working with Smart View Configuring Oracle Tax Reconciliation Cloud Experience in Oracle Tax provisioning implementation Advanced analytical, diagnostic and technical skills Understanding of Corporate tax provisioning processes Knowledge and ability to comprehend analytical models and their concepts from across a clients entire organization Experience with the EPM automate scripting language Excellent verbal and written communication skills Experience in at least one successful implementation of TRCS What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Location - Bengaluru,Pune,Hyderabad,Chennai,Mumbai

About The Role This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role. About The Role - Grade Specific Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Your Title: AI Operations - Engineer Job Location: Chennai Our Department: CMS Are you passionate about deploying, monitoring, and scaling machine learning systems in production environments and eager to contribute to robust AI infrastructure within a collaborative team What You Will Do This role offers an exciting opportunity to begin a career in AI/ML operations engineering, working within a dynamic team that values reliability and continuous improvement. The successful candidate will contribute to the deployment and maintenance of AI/ML systems in production, gaining hands-on experience with MLOps best practices and infrastructure automation. This position provides a structured environment for developing core competencies in ML system operations, DevOps practices, and production ML monitoring, with direct guidance from experienced professionals. Assist in the deployment and maintenance of machine learning models in production environments under direct supervision, learning containerization technologies like Docker and Kubernetes. Support CI/CD pipeline development for ML workflows, including model versioning, automated testing, and deployment processes using tools like Jenkins, GitLab CI, or GitHub Actions. Monitor ML model performance, data drift, and system health in production environments, implementing basic alerting and logging solutions. Contribute to infrastructure automation and configuration management for ML systems, learning Infrastructure as Code (IaC) practices with tools like Terraform or CloudFormation. Collaborate with ML engineers and data scientists to operationalize models, ensuring scalability, reliability, and adherence to established MLOps procedures and best practices. What Skills & Experience You Should Bring Required: Bachelors degree in Computer Science, Engineering, Information Technology, or a closely related technical field. Trimbles Professional ladder typically requires four or more years of formal education. Foundational knowledge of DevOps principles and practices, with understanding of CI/CD concepts and basic system administration. Proficiency in at least one relevant programming language (e.g., Python, Bash) with focus on automation scripting and system integration. Understanding of containerization technologies (Docker) and basic orchestration concepts (Kubernetes fundamentals). Familiarity with version control systems (Git) and collaborative development workflows. Basic understanding of machine learning concepts and the ML model lifecycle from development to production. Preferred: Experience with cloud computing platforms (AWS, Azure, GCP) and their ML/AI services (SageMaker, Azure ML, Vertex AI). Familiarity with MLOps tools and frameworks (MLflow, Kubeflow, DVC, or similar). Basic experience with monitoring and observability tools (Prometheus, Grafana, ELK stack). Understanding of Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience with Linux system administration and command-line tools. Knowledge of database systems and data pipeline technologies. Exposure to model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime). Basic understanding of security best practices for ML systems and data governance.

Job Advertisement Your Title: AI Operations Engineer Job Location: Chennai Our Department: CMS Are you passionate about deploying, monitoring, and scaling machine learning systems in production environments and eager to contribute to robust AI infrastructure within a collaborative team What You Will Do This role offers an exciting opportunity to begin a career in AI/ML operations engineering, working within a dynamic team that values reliability and continuous improvement. The successful candidate will contribute to the deployment and maintenance of AI/ML systems in production, gaining hands-on experience with MLOps best practices and infrastructure automation. This position provides a structured environment for developing core competencies in ML system operations, DevOps practices, and production ML monitoring, with direct guidance from experienced professionals. Assist in the deployment and maintenance of machine learning models in production environments under direct supervision, learning containerization technologies like Docker and Kubernetes. Support CI/CD pipeline development for ML workflows, including model versioning, automated testing, and deployment processes using tools like Jenkins, GitLab CI, or GitHub Actions. Monitor ML model performance, data drift, and system health in production environments, implementing basic alerting and logging solutions. Contribute to infrastructure automation and configuration management for ML systems, learning Infrastructure as Code (IaC) practices with tools like Terraform or CloudFormation. Collaborate with ML engineers and data scientists to operationalize models, ensuring scalability, reliability, and adherence to established MLOps procedures and best practices. What Skills & Experience You Should Bring Required: Bachelors degree in Computer Science, Engineering, Information Technology, or a closely related technical field. Trimbles Professional ladder typically requires four or more years of formal education. Foundational knowledge of DevOps principles and practices, with understanding of CI/CD concepts and basic system administration. Proficiency in at least one relevant programming language (e.g., Python, Bash) with focus on automation scripting and system integration. Understanding of containerization technologies (Docker) and basic orchestration concepts (Kubernetes fundamentals). Familiarity with version control systems (Git) and collaborative development workflows. Basic understanding of machine learning concepts and the ML model lifecycle from development to production. Preferred: Experience with cloud computing platforms (AWS, Azure, GCP) and their ML/AI services (SageMaker, Azure ML, Vertex AI). Familiarity with MLOps tools and frameworks (MLflow, Kubeflow, DVC, or similar). Basic experience with monitoring and observability tools (Prometheus, Grafana, ELK stack). Understanding of Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience with Linux system administration and command-line tools. Knowledge of database systems and data pipeline technologies. Exposure to model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime). Basic understanding of security best practices for ML systems and data governance.

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The Software Development Engineer-Test position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - Enterprise Automation organization. You ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen s Applied AI & Automation Footprint. In this role, you will be responsible for ensuring the quality and compliance of enterprise automation solutions & platforms, with a strong focus on computer systems validation including test automation, test planning, execution, and defect management. You will work closely with product owners, developers, and QA teams to validate systems against business and regulatory requirements. This role is critical in ensuring that automation solutions meet performance, security, and compliance expectations across the development lifecycle, especially in GxP-regulated environments. Roles & Responsibilities: Build out test engineering practices, standards, community and lead by execution in creating a new culture around the test automation demeanor. Design, develop and maintain automated and manual test cases based on functional and non-functional requirements. Perform responsibilities in compliance with GxP and Computer System Validation (CSV) regulations, ensuring proper documentation, execution, and adherence to regulatory standards. Create and maintain the Requirement Traceability Matrix (RTM) to ensure full test coverage. Log, track and manage defects using tools such as HP ALM or JIRA, ensuring clear documentation and traceability. Assist in User Acceptance Testing (UAT), working closely with business stakeholders. Execute tests including Systems Integration Testing (SIT), Operational Qualification (OQ), and regression testing. Execute test scripts provided by analysts, focusing on accuracy and completeness of testing. Collaborate with developers to ensure all identified bugs and issues are addressed and resolved effectively. Support automation testing efforts by building and maintaining scripts in tools like UiPath Test Suite, Selenium, or similar tools. Maintain detailed documentation of test cycles, supporting audit readiness and compliance. Basic Qualifications Masters degree / Bachelors degree and 5 to 9 years in Life Science / Biotechnology / Pharmacology / Information Systems experience Preferred Qualifications: BS/MS in Computer Science, Information Systems, or related field 3+ years of experience in application testing and automation frameworks Functional Skills: Must-Have Skills: Advanced experience in designing and executing both manual and automated test cases based on functional and non-functional requirements. Advanced knowledge of test lifecycle documentation including test plans, RTMs, OQ protocols, and summary reports Hands-on experience with UiPath Test Suite, Selenium, Postman, or similar tools. Advanced experience in validated (GxP) environments and with CSV practices Proficient in creating test lifecycle documentation (RTMs, OQ protocols, test plans, reports) and supporting end-to-end testing within regulated GxP and CSV-compliant computer systems, ensuring adherence to validation, audit, and documentation standards Good-to-Have Skills: Develop, enhance, and maintain test automation scripts using data-driven, keyword-driven, or hybrid frameworks, enabling reusable, scalable, and maintainable test coverage across systems. Familiarity with Agile/Scrum methodologies and continuous testing practices Strong test design and problem-solving skills. Familiarity with Jenkins, GitHub Actions, or similar tools for integrating testing into DevOps pipelines. Experience collaborating with Cross-Functional teams, particularly within healthcare or pharmaceutical environments. Experience in handling product features for PI planning and developing product roadmaps and user journeys Able to communicate complex subject matters in business terms Familiarity with GxP, CFR 21 Part 11 and systems validation Professional Certifications ISTQB Foundation or Advanced Level Certification (Optional but valuable) Certified CSV/Validation Professional (Optional but valuable) SAFe Agile Tester Certification (Optional but valuable) Lean Six Sigma certification (Optional but valuable) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Whats this role about Java Full stack Angular Developer Heres how youll contribute: Youll do this by: Minimum 4+ years of hands-on experience in Java and Angular Exposure to Distributed Systems / Microservices architectures Solid experience with CI/CD pipelines and related tooling Familiarity with SRE practices such as monitoring, observability, incident management, and reliability metrics (SLIs/SLOs) Familiarity with AWS or any other major Cloud Provider is preferred (good to have) Core Skills: Proven work experience as a Backend Developer or similar role in software development. Proficiency in Java, J2ee and Spring Boot Framework. Experience with RESTful APIs and server-side APIs integration. Strong knowledge of web development tools and programming languages. Must have Angular 7 and above versions experience. Experience with RXJs and Angular CLI Experience with State Management, Performance optimization, Dependency Injection Must have worked on TypeScript/ JavaScript, HTML5, CSS3 Excellent knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate). Experience with cloud computing platforms (e.g. AWS, Google Cloud). Understanding of fundamental design principles behind a scalable application. Familiarity with unit testing and debugging techniques. Also, Skilled in problem-solving within distributed architectures. Proficient in object-oriented design, algorithms, data structures, and SQL. Experienced with Software Development Lifecycle, database management, API integration, and modern tools like Swagger. Adept in application monitoring, logging, version control, and software testing. Familiar with automation, high-performance applications, CI/CD, Docker/Kubernetes, and secure coding practices. Knowledgeable in Microservices, Event-driven architectures, and Agile Development principles. Desired Skills:

Job Description We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Experience : 5 to 7 Years Work Location : Hyderabad Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on prici

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Experience : 5 to 7 Years Work Location : Hyderabad Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. AI & Automation Solutions Engineer What you will do Let s do this. Let s change the world. This vital role offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization. You ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen s Applied AI & Automation Footprint. The Sr Associate IS Engineer role is responsible for designing, developing, and implementing end-to-end Thoughtful automation solutions that meet business needs. This role collaborates with architects, testers, engineers and business analysts to build high-quality, scalable and best-in-class automated solutions using top technologies. The engineer should possess knowledge of system architecture, effective problem-solving skills, and the capability to communicate technical concepts clearly, supporting the delivery of robust and scalable automations. Roles & Responsibilities: Design, develop, and deploy automation workflows using SAP Build Process Automation (SAP BPA), UiPath, Power Automate, or Automation Anywhere , depending on system context and integration needs. Integrate LLMs and AI services into RPA pipelines for thoughtful document processing, contextual decision-making, summarization, chat-based interfaces, and GenAI-enhanced user workflows. Develop prompt frameworks , API connectors, and modular AI building blocks using Python, JavaScript, or similar languages. Build and orchestrate automated approval flows , document handling , and data integrations within SAP S/4HANA and SAP BTP , using BPA extensibility. Work with AI&D Teams and Business Process Owners to ensure automation aligns with AI&D s digital product strategy. Ensure Agile methodologies are strictly adhered to, including sprint planning, backlog grooming, and iterative delivery of value. Stay ahead of with the latest AI/ML and GenAI tooling and actively contribute to internal knowledge-sharing forums Effective product demonstrations for internal and external collaborators. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Masters degree / Bachelors degree and 5 to 9 years of experience with software development technologies Preferred Qualifications: Functional Skills: Must-Have Skills: Three years experience with low-code/no-code technology software development like UiPath, Power Automate, SAP BPA Knowledge of agentic AI or agent-based automation such as AWS BDA, OpenAI, Langchain, Langgraph Three years experience using Agile Methodologies to implement solutions Strong coding skills in C#, Python, JavaScript, or PowerShell for advanced bot development and AI service integration. Experience with REST APIs, JSON, OAuth, and event-driven architectures to connect RPA and AI workflows with backend systems. Experience in regulated industries such as biotech or healthcare Good-to-Have Skills: Familiarity with SAP ecosystem tools such as SAP Workflow Management, SAP Business Technology Platform (BTP), and embedding AI capabilities into SAP-integrated processes. Jira Align experience Familiarity with GxP and systems validation Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The Sr Associate IS Business System Analyst position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. You ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen s Applied AI & Automation Footprint. The role leverages domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This role involves working closely with developers and business analysts to ensure that the technical requirements for upcoming development are thoroughly elaborated. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will collaborate with Product Managers and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. Roles & Responsibilities: Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals Capture the voice of the customer to define business processes and product needs Work with Product Managers and customers to define scope and value for new developments Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Clearly express features in User Stories/requirements so all team members and stakeholders understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs Stay focused on software development to ensure it meets requirements, providing proactive feedback to stakeholders Develop and execute effective product demonstrations for internal and external stakeholders Maintain accurate documentation of configurations, processes, and changes Identify inefficiencies and bottlenecks Recommend data-driven solutions for process optimization Basic Qualifications and Experience: Masters degree / Bachelors degree and 5 to 9 years in Life Science / Biotechnology / Pharmacology / Information Systems experience Functional Skills: Must-Have Skills : Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology Excellent communication skills and the ability to interface with business leadership with confidence and clarity Experience in writing requirements for development of modern web application and/or automation solutions Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with business process design / re-engineering Good-to-Have Skills: Experience with tools like SIPOC diagrams, value stream maps, and process capability analysis Experience with Agile software development methodologies (Scrum) Experience with BMPN modeling tools Familiarity with GxP, CFR 21 Part 11 and systems validation Familiarity with Automation technologies (e. g. , UiPath, Docusign, Power Platform, Chat GPT, etc. ) Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific software systems strategy, governance, and infrastructure Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Knowledge of network security protocols and tools (e. g. , IPSEC, SSL, IDS/IPS, firewalls) Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications SAFe for Teams certification (Optional but valuable) Lean Six Sigma certification (Optional but valuable) BABOK (BA Body of Knowledge) certifications (e. g. , ECBA, CCBA, CBAP) (Optional but valuable) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT .

Data Engineer Roles and Responsibilities: Create and maintain efficient and scalable data models as per business needs Create and maintain optimal data pipelines against multiple data sources lie SQL, BigData on Azure / AWS cloud; Assemble and process large, complex data sets to meet both functional and non-functional business requirements; Analyze and improve existing data models, pipelines, related infrastructure and processes Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics; Monitor and improve data quality and data governance policies Collaborate with stakeholders including the executive, product, data and design teams to assist with data-related technical issues and support their data infrastructure needs; Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader; Work with data and analytics experts to strive for greater functionality in our data systems. Must Have Skills: 5+ years of experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka, Flink etc) for building efficient, large-scale big data pipelines; Strong Software Engineering experience with proficiency in at least one of the following programming languages: Java, Scala, Python or equivalent; Implement data ingestion pipelines both real time and batch using best practices; Experience with building stream-processing applications using Apache Flink, Kafka Streams or others; Experience with Cloud Computing platforms like Azure,Amazon AWS, Google Cloud etc.; Experience supporting and working with cross-functional teams in a dynamic environment; Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with ELK stack. Ability to work in a Linux environment. Nice to Have: Experience in building distributed, high-volume data services; Experience with big data processing and analytics stack in AWS: EMR, S3, EC2, Athena, Kinesis, Lambda, Quicksight etc.; Knowledge of data science tools and their integration with data lakes; Experience in container technologies like Docker/Kubernetes. Qualification: Bachelor of Science in Computer Science or equivalent technical training and professional work experience. About Nomiso: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations!

About Us (Ensono) We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications whether it s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you re continuously innovating doing more with less while remaining secure. And that s just the beginning. At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things ! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. About the role and what you ll be doing: The Cloud and DevOps Solutions Architect will use their abilities and our portfolio to help our customers manage and modernize their infrastructure. You take pride in your work as you help the customer and sales team arrive at a solution which demonstrates the immense value of Ensono in helping them reach their goals. Your strong verbal and written communication skills combined with your high degree of confidence make you a trusted advisor to your peers and customer contacts. You are eager to bring your unique blend of technical and soft skills to customer engagements while you act as the technical authority during the sales process: performing discovery and needs assessments while making recommendations based on the discovered needs; working with a wide variety of stakeholders to execute the tasks needed to drive an opportunity through to a successful win. Responsibilities Acting as a thought leader at Ensono utilizing your in-depth knowledge of the technical aspects of all our cloud services and the industry, including: Cloud Computing: Amazon Web Services, Azure, Google Cloud Managed Cloud Services DevOps, Cloud Run Center of Excellence Professional Services and Consulting engagements Outsourced IT Infrastructure Solutions Security Services Teaming with Business Development Executives to develop a high-quality sales funnel and to co-lead campaigns to win opportunities and meet/exceed sales and revenue targets Working closely with customers to understand their requirements, map those to Ensono service offerings, and propose differentiated solutions that are backed by solid financial business cases and that put Ensono in a winning position Building new and leveraging existing relationships at new and existing clients across relevant roles including CIO, CTO, VP of Infrastructure, and other influential mobilizers within target accounts Representing Ensnon s cloud enablement and management capabilities to prospective customers and existing customer base, and influencing customer expectations according to product and management capabilities and constraints Determining client requirements and providing solution design and technical descriptions. Driving the creation of proposals, RFP responses, and Statements of Work Working with our Service Delivery and Engineering teams to provide pre-and post-sale support as needed to clarify service expectations, including providing diagrams, verbal explanation, and written documentation Developing and growing internal technical knowledge base on the entire cloud infrastructure stack, and presenting ongoing technical training to Sales and Service Delivery Personnel Providing guidance to sales, operations, marketing, and product development on industry and technical trends observed within our customers environments and competitor wins/losses Meeting and exceeding management targets for the number and complexity of sales opportunities supported, closed, and training completed We want all new Associates to succeed in their roles at Ensono. That s why we ve outlined the job requirements below. To be considered for this role, it s important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. Required Qualifications A. /B.S. Degree is required (exceptions if offset by professional experience and track record) At least 5 years of enterprise sales experience in a pre-sale s solution engineer or solutions architect role Cloud certifications in either AWS, Azure, or Google Cloud a must Hands on Skills: Knowledgeable in DevOps tooling Terraform GitHub Azure DevOps The ability to automate deployment of resources on Azure, GCP or AWS Preferred Qualifications Experience with professional services- scoping, sizing, solutioning with clients is a must Operational experience in delivering/running cloud managed services and/or professional services will give the candidate a significant advantage Proven ability to sell both professional and managed services into Fortune 2000 accounts as the technical sales lead Technical and operational acumen with developing solutions for pricing of cloud migration and managed services Strong understanding of cloud technology (especially AWS & Azure) with a broad understanding of infrastructure and AWS Ecosystem technologies Significant experience in the design of distributed, high availability server-based network computing infrastructures; AWS, Azure, and Google Cloud design, build and/or operational experience Understanding and some experience with Professional Services and Consulting engagements You will be expected to develop a deep understanding of industry trends and competitive offerings Solid understanding of the technical and operational strengths and weaknesses of competition in the cloud-managed services space- and ability to adeptly position Ensono in light of that knowledge Demonstrated competency in developing, nurturing, and maintaining executive relationships across IT, Product Engineering, Finance, and other functional groups impacting IT decision making Track record juggling the pursuit of multiple opportunities across different lines of business and several Business Development Executives Competency with research skills and industry acumen required to perform insight-based selling and to put IT solutions in the context of the most pressing (and funded) business challenges for new and existing clients Track record of hunting for new logos and farming existing accounts Understanding of target industries (technology, SaaS/ISV, healthcare/pharma/biotech, financial services) and solution areas (Iaas, PaaS, SaaS, DevOps, Security, Networking, SysAdmin, Data Center Consolidation/Migration, Public/Private/Hybrid Cloud) Shift Timings: 1:30 PM to 10:30 PM IST JR012271 Next Job Posting IT Security Engineer- Remote United States Social Share

Possessing in-depth expertise in core technologies, including Java, Spring, Spring Boot, RESTful APIs,messaging frameworks, container-based development (Docker), Elasticsearch, relational databases (PostgreSQL preferred), NoSQL solutions (Azure Cosmos DB or Cassandra), and event-driven architecture solutions like Kafka. Designing, developing, and implementing projects using GCP Cloud computing technologies, databases, Redis, Istio, Multi-Tenant, and Single Tenant. Successfully migrating legacy applications to modern cloud-based architectures utilizing Google CloudPlatform (GCP) cloud technologies. Knowing the Continuous Delivery process and tools, testing frameworks and practices (preferably GitHub,Ready API, Terraform, Tekton, etc.). Understanding the testing pyramid, developing a suite of unit tests and API tests, and adopting a "test-asyou-code" strategy. Building and maintaining complex enterprise web applications in microservice product architecture. Any bachelors degree with Software Engineering, or a related field with 7+ years for GCP and DevOps Experience Collaborating with software development teams to integrate security controls and best practices into the application development process. Experience of scripting languages (e.g., PowerShell, Bash, Python) for automation tasks, with an emphasis on CI/CD automation. Implementing the Continuous Integration and Deployments using Harness, Drone ,Jenkins and tekton. Deployment of Pipeline using Yaml files using Bash Script and HELM patterns . Manage and maintain server infrastructure, including installation, configuration, and troubleshooting GCP and AWS cloud Environment Implementation of Software Development tool kit for CI/CD automation process which is used in Product teams Pipeline setups. Implementation and setting up the Devlake in Open shift cluster in sandbox ,Dev regions Build trust and foster an environment where team members can openly communicate, share information, and work together effectively to solve complex problems.

Possessing in-depth expertise in core technologies, including Java, Spring, Spring Boot, RESTful APIs,messaging frameworks, container-based development (Docker), Elasticsearch, relational databases (PostgreSQL preferred), NoSQL solutions (Azure Cosmos DB or Cassandra), and event-driven architecture solutions like Kafka. Designing, developing, and implementing projects using GCP Cloud computing technologies, databases, Redis, Istio, Multi-Tenant, and Single Tenant. Successfully migrating legacy applications to modern cloud-based architectures utilizing Google CloudPlatform (GCP) cloud technologies. Knowing the Continuous Delivery process and tools, testing frameworks and practices (preferably GitHub,Ready API, Terraform, Tekton, etc.). Understanding the testing pyramid, developing a suite of unit tests and API tests, and adopting a "test-asyou-code" strategy. Building and maintaining complex enterprise web applications in microservice product architecture. Any bachelors degree with Software Engineering, or a related field with 7+ years for GCP and DevOps Experience Collaborating with software development teams to integrate security controls and best practices into the application development process. Experience of scripting languages (e.g., PowerShell, Bash, Python) for automation tasks, with an emphasis on CI/CD automation. Implementing the Continuous Integration and Deployments using Harness, Drone ,Jenkins and tekton. Deployment of Pipeline using Yaml files using Bash Script and HELM patterns . Manage and maintain server infrastructure, including installation, configuration, and troubleshooting GCP and AWS cloud Environment Implementation of Software Development tool kit for CI/CD automation process which is used in Product teams Pipeline setups. Implementation and setting up the Devlake in Open shift cluster in sandbox ,Dev regions Build trust and foster an environment where team members can openly communicate, share information, and work together effectively to solve complex problems.

. Join our Team Are you interested in crafting the future of payment solutionsGoDaddy is looking for a Lead Android Software Engineer to join our Payment OS & Apps Team in Pune! This team focuses on developing Android-based Smart Point of Sale (POS) Terminals and related software. We build secure and efficient payment options, offering tailored payment experiences for banking partners and merchants. The team also manages a Terminal Management solution, which provides around-the-clock remote support for deployed Smart POS, including over-the-air updates and configuration. Our Smart Terminals and Omni Channel Commerce products help merchants and banking partners manage and track their businesses. We strive to deliver device, web, and mobile experiences that are easy to use and help our partners serve their customers while keeping operating costs low. As our Commerce business grows, we are expanding our team in India. The GoDaddy Commerce Payments OS and Apps team is building an India Design Team, led by a Senior Engineering Manager, to support this growth and reach new markets. What youll get to do... Write code on most projects, demonstrating expertise in software architecture, design patterns, and industry best practices, while providing technical leadership on mission-critical projects Propose and drive engineering initiatives to reduce technical debt and ensure a robust technical foundation, actively participating in quarterly and annual roadmap planning Guide and mentor junior engineers on design, implementation, and code reviews, encouraging a culture of engineering excellence and best practices, and supporting hiring and onboarding processes Collaborate with Product Managers and various stakeholders to define, influence, and gather requirements, ensuring the delivery of maintainable, scalable, and high-quality architectural solutions with a focus on API design, observability, and extensibility Lead and support operational processes, including release management, on-call rotation, incident response, and post-mortems, while building processes and systems to streamline customer care and resolve issues efficiently Your experience should include... 7+ years of software industry experience, with strong expertise in Java, Kotlin, and Android Native Development, including building mobile apps using the Android SDK 2+ years of experience with AOSP customizing the OS internals (e.g., power management, hardware interfaces)/Embedded Systems Engineering or Consumer Electronics (e.g, firmware, Linux-based development) Solid foundation in software engineering fundamentals such as algorithms, data structures, SOLID principles, and experience with Test-Driven Development and observability instrumentation Proven ownership of the entire software development lifecycle, from requirement gathering, scoping, and planning to release, production monitoring, and maintenance Skilled in designing and implementing standardized, secure, and intuitive external-facing APIs (RESTful or otherwise), and demonstrating a strong desire to learn, document, and share knowledge Experienced in leading technical teams, driving cross-team architecture, and possessing expert knowledge in Scrum processes and ceremonies You might also have... Prior experience within the payments and risk domains Knowledge of RESTful APIs and cloud computing, including distributed system design (2+ years) Experience in messaging systems, asynchronous processing, event-driven architecture, monolith architecture, SOA, and microservices Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process. We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustleNo problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

Location: Bangalore, India Thales people architect solutions at the heart of the defence-security continuum. Interoperable and secure information and telecommunications systems for defence, security, and civil operators, are based upon innovative use of radiocommunications, networks, and cybersecurity. We are ground breaking new digital technologies such as 4G mobile communications, cryptography, cloud computing and big data for use in physical protection systems, and critical information systems. Thales India Engineering Competency Center (ECC) in Bangalore is seeking a Technical Lead. In this role, you will be responsible for Hardware subsystems architectural design, trade-off analysis, feasibility studies, Proposal preparation, detailed design and IVVQ for various Thales products (Defense and aerospace applications) including Obsolescence redesign. Qualifications: B.Tech in Electronics, Instrumentation engineering or equivalent with 8 to 12 years of relevant experience. Higher qualifications of Post-graduation is desirable. Domain experience in Defense, avionics and communication products is desirable. Responsibilities: Understanding of SoW and requirements and designing optimal architecture design for electronics/electro-mechanical sub systems Perform trade-off analysis of different technologies and feasibility studies to propose the best architecture design Preparing project proposal including schedule and efforts Coordinating with different stakeholders like Industrialization, IPO, suppliers, engineering, WPM, customer to prepare the optimal project proposals Design and development of hardware subsystems Integration of Hardware, Software and Firmware and performs IVVQ Collaborative work applying quality standards and internal processes Preparation of the associated project documentation and reviews Skills & experience: Must have strong experience in complete Hardware development life cycle (Technical feasibility, requirements writing, preliminary and detailed design, prototype manufacturing, test and evaluation, qualification and certification) Must have gained experience in piloting a lot of development work, involving in product testing in external labs for EMI/EMC and other environmental testing Must have experience in the IVVQ (Integration, Verification, Validation and Qualification) including requirements management Must have strong experience of integration of Hardware, FPGA firmware, low-level software and application software on Hardware unit. Must have good experience in bench test set-up, functional testing and performance evaluation Must have experience in developing Qualification Test procedures (QTPs), Qualification Test Reports (QTR), Qualification by similarity reports (QBSR) and other documents required by certification authorities Must have strong experience to troubleshoot on electronics and embedded hardware systems to find the root cause and to fix with a suitable solution Must have experience in interfacing with external test facilities for environmental and EMI/EMC and other electrical tests as per MIL-STD and DO-160 standards Must have experience to ensure the reporting progress of the project along with KPI Must have experience to manage risks and opportunities Must be rigorous, organized, autonomous and proactive, and motivated by a position within a multidisciplinary team. Must have demonstrated leadership skills on complex topics. Must have experience of working with multi-disciplinary team (BL engineering team, Lab technicians, external labs, Purchase team, ECC Engineering teams and manufacturing teams, )

Description Ciklum is looking for a Senior Delivery Manager to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: We are seeking a highly experienced and strategic Senior Delivery Manager to spearhead our large-scale Internet of Things (IoT) and connected hardware initiatives. In this critical role, you will be responsible for the end-to-end delivery of integrated solutions that span hardware, firmware, connectivity, and cloud services. You will manage a multi-disciplinary team of over 30 professionals, serving as the central point of leadership between clients, engineering teams, and executive stakeholders. Your deep technical understanding of the hardware development lifecycle, IoT architectures, and firmware development, combined with your expertise in Agile methodologies, will be essential for navigating the complexities of connected product development and ensuring project success.. Responsibilities Project & Delivery Management: Lead the end-to-end planning, execution, and successful delivery of complex IoT projects, from hardware prototyping to production and software deployment Develop and manage comprehensive project plans, roadmaps, budgets, and timelines, ensuring alignment with client objectives and business goals Proactively identify and mitigate risks related to supply chain, manufacturing, certification, and technology integration Oversee the creation of key project documentation, including SOWs, project charters, and status reports for complex hardware/software programs Team Leadership & Mentoring: Directly manage, mentor, and lead a large, cross-functional team of 30+ members, including hardware engineers, firmware developers, cloud specialists, QA, and support specialists Foster a high-performance, collaborative team culture that balances the demands of both hardware and software development cycles Conduct resource planning, allocation, and performance management to optimize team efficiency and professional growth Agile & Scrum Leadership: Act as a servant leader and Scrum Master, adapting Agile principles for a hybrid hardware/software environment Facilitate key ceremonies including Sprint Planning, Daily Stand-ups, and Retrospectives, ensuring clear communication and progress tracking Maintain and prioritize project backlogs in Jira, ensuring transparency across all technical disciplines Technical Oversight & Strategy: Provide strategic guidance by leveraging a strong understanding of the end-to-end hardware development lifecycle (from PCB design and prototyping, and manufacturing) Lead technical discussions on IoT architecture, including device connectivity (e.g., Wi-Fi, Bluetooth/BLE), communication protocols (e.g., MQTT), and cloud integration Oversee firmware development processes, ensuring robust, secure, and over-the-air (OTA) updatable device software Collaborate with hardware, firmware, and software architects to ensure seamless integration across the entire solution stack Requirements Bachelors or Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field 8+ years of experience in the technology industry, with at least 4 years in a Delivery or Project Manager role IoT / Hardware Delivery Expertise: Proven track record of successfully managing and delivering complex IoT or connected hardware projects from concept to market Technical Acumen (Mandatory): Hardware Development: Strong familiarity with the hardware product development lifecycle, including schematic design, PCB layout, prototyping, and certification processes Firmware Development: Solid understanding of embedded systems, microcontrollers (MCUs), and firmware development practices (C/C++, RTOS) IoT Architecture: Knowledge of IoT components, platforms, and connectivity Large-Scale Team Management: Proven experience managing and leading large, cross-functional teams of 30+ members Agile/Scrum Master: Hands-on experience as a Scrum Master with expert-level proficiency in Jira for backlog management and tracking Desirable Cloud Computing: Strong familiarity with a major cloud IoT service (e.g., AWS IoT Core, Azure IoT Hub, etc.) Mobile Application Development Platforms: Experience with companion mobile apps (iOS/Android) that interact with and control IoT devices Data Science / Data Engineering: Understanding of how to build data pipelines to ingest, store, and analyse IoT data for business insights Whats in it for you Strong community: Work alongside top professionals in a friendly, open-door environment Growth focus: Take on large-scale projects with a global impact and expand your expertise Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies Care: We ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within September 15th 2025) Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers. Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Bachelor s or master s degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solution

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic eraYou re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Location: Mumbai, India Role Overview We are seeking a dynamic Lead Solution Engineer to collaborate with our leading Financial Services clients in Mumbai. This role is pivotal in crafting innovative customer engagement strategies, demonstrating Salesforce s platform capabilities, and translating complex business needs into impactful solutions. You will engage with senior stakeholders, including C-level executives, to create roadmaps and deliver transformational pitches that showcase Salesforce s value. Key Responsibilities: Solution Discovery & Design: Understand client needs through targeted discovery sessions; craft tailored Salesforce solutions aligned with business objectives. Customer Engagement: Demonstrate Salesforce capabilities via live demos, prototypes, and presentations to various client personas. Strategic Roadmaps: Build and articulate clear customer journey strategies and IT roadmaps, highlighting Salesforce s value proposition. Business & Technical Consulting: Lead cross-functional teams to develop comprehensive solutions and articulate benefits to stakeholders. Solution Selling: Support sales cycles with RFx responses, business cases, ROI analyses, and impactful demos. Client Collaboration: Partner with Business and IT teams, uncover challenges, and build out-of-the-box innovative solutions. Thought Leadership: Guide large enterprises on digital transformation, leveraging Salesforce for customer success. Territorial Engagement : Travel as required for client meetings and workshops. Required Skills & Experience Degree or equivalent; 12+ years in IT, consulting, or technology sales/implementation. Proven experience in pre-sales or solution delivery within Financial Services (Banking, Insurance, Fintechs, NBFCs, Wealth/Asset Management). Strong ability to develop and present customer journey maps, use case demos, and solutions aligned with industry needs. In-depth understanding of the financial industrys key metrics, customer engagement processes, and ROI justification. Expertise in cloud computing, CRM, marketing automation, and related technologies. Exceptional verbal, written, presentation, and interpersonal skills. Experience working with large enterprise clients and engaging at the C-level. Preferred Qualifications Salesforce Certifications (e.g., SalesCloud, ServiceCloud, Financial Services Cloud) Prior experience as a Salesforce Solution or Sales Engineer in a CRM or similar tech environment. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic eraYou re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Location: Mumbai, India Role Overview We are seeking a dynamic Lead Solution Engineer to collaborate with our leading Financial Services clients in Mumbai. This role is pivotal in crafting innovative customer engagement strategies, demonstrating Salesforce s platform capabilities, and translating complex business needs into impactful solutions. You will engage with senior stakeholders, including C-level executives, to create roadmaps and deliver transformational pitches that showcase Salesforce s value. Key Responsibilities: Solution Discovery & Design: Understand client needs through targeted discovery sessions; craft tailored Salesforce solutions aligned with business objectives. Customer Engagement: Demonstrate Salesforce capabilities via live demos, prototypes, and presentations to various client personas. Strategic Roadmaps: Build and articulate clear customer journey strategies and IT roadmaps, highlighting Salesforce s value proposition. Business & Technical Consulting: Lead cross-functional teams to develop comprehensive solutions and articulate benefits to stakeholders. Solution Selling: Support sales cycles with RFx responses, business cases, ROI analyses, and impactful demos. Client Collaboration: Partner with Business and IT teams, uncover challenges, and build out-of-the-box innovative solutions. Thought Leadership: Guide large enterprises on digital transformation, leveraging Salesforce for customer success. Territorial Engagement : Travel as required for client meetings and workshops. Required Skills & Experience Degree or equivalent; 12+ years in IT, consulting, or technology sales/implementation. Proven experience in pre-sales or solution delivery within Financial Services (Banking, Insurance, Fintechs, NBFCs, Wealth/Asset Management). Strong ability to develop and present customer journey maps, use case demos, and solutions aligned with industry needs. In-depth understanding of the financial industrys key metrics, customer engagement processes, and ROI justification. Expertise in cloud computing, CRM, marketing automation, and related technologies. Exceptional verbal, written, presentation, and interpersonal skills. Experience working with large enterprise clients and engaging at the C-level. Preferred Qualifications Salesforce Certifications (e.g., SalesCloud, ServiceCloud, Financial Services Cloud) Prior experience as a Salesforce Solution or Sales Engineer in a CRM or similar tech environment. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do Let s do this. Let s change the world. In this vital role you will join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. You ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen s Applied AI & Automation Footprint. The Sr Manager Machine Learning & Agent delivery is responsible for driving innovation in AI/ML and agent-based system design at Amgen. This role is integral to advancing the organizations AI strategy by developing intelligent, scalable, and secure multi-agent systems. The Sr Manager Machine Learning & Agent delivery will be responsible for leading technical innovation, mentoring AI/ML teams, and integrating agent-based solutions into enterprise platforms. The ideal candidate has strong experience in design and architecture of AI systems, platforms and cognitive solutions, with excellent communication skills, and a deep understanding of Agile methodologies. Roles & Responsibilities: Play a key role in building and leading a distributed team of Architects, AI/ML Engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice. Mentor and provide thought leadership for AI/ML engineers and data scientists, enabling continuous technical growth in agentic design, reinforcement learning, and AI standard methodologies. Design, implement, and optimize multi-agent AI/ML systems that enhance automation, decision-making, and system efficiency. Define and set the direction for AI/ML frameworks that enable scalable and robust agentic solutions. Lead engineering of end-to-end ML pipelines - data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion - using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. Strong working knowledge of agentic AI or agent-based automation such as AWS BDA, OpenAI, Langchain, Langgraph, UiPath. Contribute reusable platform components - feature stores, model registries, experiment-tracking libraries - and evangelize standard processes that raise engineering velocity across global delivery teams. Work closely with multi-functional teams to integrate agent-based solutions into Amgen s enterprise platforms, aligning AI strategies with business objectives. Partner with leadership, product teams, and other collaborators to identify AI opportunities, streamline implementations, and align AI/ML strategies with company goals. Ensure that AI solutions meet enterprise-scale performance, security, and reliability standards, while maintaining detailed documentation for long-term scalability. Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. Stay at the forefront of emerging trends in agentic automation, autonomous agents, AI orchestration, and GenAI. Evaluate and pilot new tools and frameworks and bring forward innovative capabilities that align with enterprise strategy. Conduct market research and competitive analysis to find opportunities and inform product/platforms strategy. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate/Masters/Bachelors degree with 12 - 17 years of experience as Product Owner / Platform Owner / Service Owner. Functional Skills: Expertise in designing and implementing AI/ML systems and Agents, Agentic Processes. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e. g. , LangChain, Semantic Kernel). Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, or Azure) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong background in authoring and managing highly complex technical documentation at an enterprise level. Ability to lead multidisciplinary teams including AI/ML engineers, and architects in a matrixed or agile environment. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Good-to-Have Skills: Comprehensive command of machine-learning algorithms - regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques. Knowledge in Intelligent Automation with experience in automations tools like UiPath & Power Automate, Process Intelligence tools like Celonis, DocuSign and GenAI Tools/LLMs. Knowledge of data privacy, governance, and regulatory requirements (e. g. , GxP, HIPAA, GDPR) in deploying AI/automation. Experience managing change and driving adoption of new digital technologies across large or regulated enterprises. Domain Knowledge in Life Sciences / Healthcare. Strong knowledge of Agile methodologies and product management principles. Soft Skills: Ability to lead, coach, and grow multidisciplinary teams by fostering trust, psychological safety, and a high-performance culture. Ability to convey complex AI/ML concepts to both technical and non-technical collaborators. Drives transformation by inspiring others, navigating resistance, and building momentum for adopting AI and automation at scale. Effectively aligns and motivates multi-functional partners, even in matrixed or decentralized environments. Maintains focus and adaptability in a dynamic, fast-evolving tech landscape quickly responding to change while guiding the team with clarity. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .