Devops Engineer Jobs

Job Description The Opportunity • Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. • Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. • Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Platform Engineer to be a key contributor to our Managed Application Platform Services (MAPS) product team. This is an exciting opportunity to engineer and advance our enterprise-wide, Kubernetes-based container platform. In this role, you will help build the "paved road" that enables our application development teams to deliver value faster and more reliably. The MAPS team provides a secure, compliant, and highly automated Platform-as-a-Service (PaaS), reducing cognitive load and abstracting away the complexity of underlying infrastructure. We operate as strategic business partners, collaborating with teams worldwide to govern, grow, and operate container solutions. If you are passionate about building scalable platforms, implementing SRE and DevOps principles, solving complex problems, and enabling developer success through automation, we want you on our team. Primary Responsibility: • Architect, design, and engineer our global Kubernetes Platform-as-a-Service (PaaS), focusing on scalability, reliability, security, and developer experience for the MAPS product suite. • Apply Site Reliability Engineering (SRE) and DevOps principles to ensure high availability, performance, and resilience of the platform (e.g., defining SLIs/SLOs, managing error budgets, and streamlining incident response). • Implement robust Observability practices, building comprehensive monitoring, logging, and tracing capabilities to proactively identify and resolve issues across the infrastructure and application layers. • Develop and own the lifecycle of core platform services, including cluster management, container image services, and the broader ecosystem of cloud-native solutions. • Champion and implement Infrastructure as Code (IaC) and GitOps best practices to manage our platform infrastructure and services. • Create a self-service platform experience by identifying and closing capability gaps, designing solutions, and automating the maintenance and lifecycle of platform components. • Define and enforce best practices and golden paths for container workloads, creating clear documentation and reference implementations for our internal developer community. • Serve as a subject matter expert and escalation point for the platform, troubleshooting complex issues across infrastructure, networking, and security domains. Qualifications: Education Requirement: • BS Degree in Computer Science, Computer Engineering, Information Systems, or equivalent practical experience. Required Experience and Skills: • Deep hands-on expertise in architecting and managing large-scale Kubernetes clusters (e.g., EKS, AKS, or self-managed). • Strong Linux background with advanced systems administration, tuning, and deep troubleshooting capabilities. • Advanced Networking knowledge, particularly within containerized and cloud environments (VPC, subnets, routing, security groups, DNS, CNI, ingress/egress patterns). • Strong experience with core cloud-native technologies such as Helm, Cilium/Calico, Karpenter, and service meshes (e.g., Istio, Linkerd). • Deep understanding of Observability platforms and tools (e.g., Prometheus, Grafana, OpenTelemetry, Dynatrace, Datadog). • Proficiency in at least one scripting or programming language (e.g., Python, Go, Shell) with a strong focus on automation. • Proven experience with Infrastructure as Code tools, particularly Terraform. Preferred Experience and Skills: • 8+ years of experience in IT, with a significant focus on platform engineering, SRE, or DevOps. • Hands-on experience with Cloud Foundry (Tanzu Application Service/TAS) is highly desirable. • Professional certifications in Kubernetes (e.g., CKA, CKAD) or cloud platforms (e.g., AWS, Azure). • Deep experience with AWS services such as EKS, EC2, VPC, Route53, ALB, S3, RDS, and IAM. • Hands-on experience with Go programming for building operators or platform tooling. • Experience with CI/CD and GitOps tools such as GitHub Actions, Jenkins, or ArgoCD. • Demonstrated ability to thrive in a global, matrixed, and highly concurrent environment. Who we are: We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for: Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. Required Skills: Automation, Automation, Availability Management, Budget Management, Capacity Management, Change Controls, Cloud Foundry, Computer Engineering, Computer Science, Data as a Service, Design Applications, High Performance Computing (HPC), Incident Management, Information Management, Information Technology (IT) Infrastructure, Infrastructure As Code (IaC), IT Service Management (ITSM), Kubernetes, Platform as a Service (PaaS), Release Management, Reliability Engineering, Software as a Service (SaaS), Software Development, Software Development Life Cycle (SDLC), Solution Architecture {+ 2 more} Preferred Skills: GitHub, GitOps, Jenkins (Software) Current Employees apply HERE Current Contingent Workers apply HERE Secondary Language(s) Job Description: #MSDHYDIT Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 09/3/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R408327

Company Overview Our client is a leading technology organization focused on building scalable, cloud-native platforms and intelligent software solutions. The organization combines software engineering, cloud technologies, Site Reliability Engineering, and Applied AI to deliver highly resilient and production-ready products at scale. Position Overview We are looking for a DevOps Specialist Engineer with strong experience in Site Reliability Engineering, cloud platform engineering, software development, and production operations. The ideal candidate will have hands-on experience operating large-scale distributed systems across Azure, AWS, or GCP, along with exposure to AI/ML, GenAI, LLMOps/MLOps, observability, performance engineering, and cloud cost optimization. The role requires a strong engineering mindset and the ability to build reliable, secure, scalable, and highly automated production platforms. Responsibilities • Design, build, operate, and continuously improve large-scale cloud-native production systems. • Define and own SLIs, SLOs, SLAs, error budgets, and reliability objectives. • Lead production incident response, on-call operations, root-cause analysis, and reliability improvements. • Build and manage CI/CD pipelines, Kubernetes platforms, infrastructure automation, and multi-environment deployments. • Implement Infrastructure as Code using Terraform and deployment automation using tools such as ArgoCD. • Develop production-grade observability across metrics, logging, and distributed tracing. • Work with technologies such as Prometheus, Grafana, OpenTelemetry, Datadog, Dynatrace, Splunk, Azure Monitor, and AWS CloudWatch. • Operate AI/ML and GenAI workloads in production, addressing reliability, performance, model drift, output variance, and train/serve skew. • Support MLOps/LLMOps platforms and AI control-plane capabilities such as model gateways and guardrails. • Implement Kubernetes/Docker-based solutions and cloud-native networking across multiple environments. • Conduct load and performance testing using tools such as LoadRunner, k6, or JMeter. • Implement chaos engineering, capacity planning, autoscaling, and resilience testing. • Drive cloud and AI FinOps, including GPU, inference, and token-cost attribution and optimization. • Implement security controls including RBAC, least privilege, secrets management, deployment approvals, and segregation of duties. • Collaborate with software engineering, security, data/AI, and product teams to improve platform reliability and operational excellence. Skills & Experience • 6–9 years of experience in DevOps, SRE, Site Reliability Engineering, Platform Engineering, or Software Engineering. • Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline. • Strong programming experience in one or more of Python, C#/.NET, Go, Java, or Bash. • Strong hands-on experience with Azure, AWS, or GCP; Azure/AWS preferred. • Experience with Kubernetes, Docker, Terraform, and cloud-native architectures. • Strong understanding of CI/CD, GitHub, Azure DevOps (ADO), and ArgoCD. • Experience with production observability and monitoring using tools such as Prometheus, Grafana, OpenTelemetry, Datadog, Dynatrace, Splunk, CloudWatch, or Azure Monitor. • Strong understanding of SRE principles, SLIs, SLOs, SLAs, error budgets, incident management, and production on-call operations. • 3+ years of experience operating or supporting large-scale production systems. • Experience with AI/ML or GenAI workloads in production and familiarity with Azure OpenAI, AWS Bedrock, or Vertex AI. • Knowledge of MLOps/LLMOps, MLflow, LangFuse, LangSmith, or equivalent AI/agent orchestration platforms. • Experience with load/performance testing, capacity planning, autoscaling, and chaos engineering. • Understanding of cloud cost optimization/FinOps, including AI/GPU/inference and token-cost management. • Knowledge of DevSecOps, RBAC, secrets management, security controls, and environment integrity. • Strong understanding of OOP/OOD, data structures, algorithms, code instrumentation, and software engineering practices. • Ability to understand and work with business context, sequence, activity, state, entity-relationship, and data-flow diagrams. • Exposure to XP, Lean, SRE, and AI-augmented/spec-driven software development is an advantage.

Company Overview Our client is a leading technology organization focused on building scalable, cloud-native platforms and intelligent software solutions. The organization combines software engineering, cloud technologies, Site Reliability Engineering, and Applied AI to deliver highly resilient and production-ready products at scale. Position Overview We are looking for a DevOps Specialist Engineer with strong experience in Site Reliability Engineering, cloud platform engineering, software development, and production operations. The ideal candidate will have hands-on experience operating large-scale distributed systems across Azure, AWS, or GCP, along with exposure to AI/ML, GenAI, LLMOps/MLOps, observability, performance engineering, and cloud cost optimization. The role requires a strong engineering mindset and the ability to build reliable, secure, scalable, and highly automated production platforms. Responsibilities • Design, build, operate, and continuously improve large-scale cloud-native production systems. • Define and own SLIs, SLOs, SLAs, error budgets, and reliability objectives. • Lead production incident response, on-call operations, root-cause analysis, and reliability improvements. • Build and manage CI/CD pipelines, Kubernetes platforms, infrastructure automation, and multi-environment deployments. • Implement Infrastructure as Code using Terraform and deployment automation using tools such as ArgoCD. • Develop production-grade observability across metrics, logging, and distributed tracing. • Work with technologies such as Prometheus, Grafana, OpenTelemetry, Datadog, Dynatrace, Splunk, Azure Monitor, and AWS CloudWatch. • Operate AI/ML and GenAI workloads in production, addressing reliability, performance, model drift, output variance, and train/serve skew. • Support MLOps/LLMOps platforms and AI control-plane capabilities such as model gateways and guardrails. • Implement Kubernetes/Docker-based solutions and cloud-native networking across multiple environments. • Conduct load and performance testing using tools such as LoadRunner, k6, or JMeter. • Implement chaos engineering, capacity planning, autoscaling, and resilience testing. • Drive cloud and AI FinOps, including GPU, inference, and token-cost attribution and optimization. • Implement security controls including RBAC, least privilege, secrets management, deployment approvals, and segregation of duties. • Collaborate with software engineering, security, data/AI, and product teams to improve platform reliability and operational excellence. Skills & Experience • 6–9 years of experience in DevOps, SRE, Site Reliability Engineering, Platform Engineering, or Software Engineering. • Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline. • Strong programming experience in one or more of Python, C#/.NET, Go, Java, or Bash. • Strong hands-on experience with Azure, AWS, or GCP; Azure/AWS preferred. • Experience with Kubernetes, Docker, Terraform, and cloud-native architectures. • Strong understanding of CI/CD, GitHub, Azure DevOps (ADO), and ArgoCD. • Experience with production observability and monitoring using tools such as Prometheus, Grafana, OpenTelemetry, Datadog, Dynatrace, Splunk, CloudWatch, or Azure Monitor. • Strong understanding of SRE principles, SLIs, SLOs, SLAs, error budgets, incident management, and production on-call operations. • 3+ years of experience operating or supporting large-scale production systems. • Experience with AI/ML or GenAI workloads in production and familiarity with Azure OpenAI, AWS Bedrock, or Vertex AI. • Knowledge of MLOps/LLMOps, MLflow, LangFuse, LangSmith, or equivalent AI/agent orchestration platforms. • Experience with load/performance testing, capacity planning, autoscaling, and chaos engineering. • Understanding of cloud cost optimization/FinOps, including AI/GPU/inference and token-cost management. • Knowledge of DevSecOps, RBAC, secrets management, security controls, and environment integrity. • Strong understanding of OOP/OOD, data structures, algorithms, code instrumentation, and software engineering practices. • Ability to understand and work with business context, sequence, activity, state, entity-relationship, and data-flow diagrams. • Exposure to XP, Lean, SRE, and AI-augmented/spec-driven software development is an advantage.

Company Overview Our client is a leading technology organization focused on building scalable, cloud-native platforms and intelligent software solutions. The organization combines software engineering, cloud technologies, Site Reliability Engineering, and Applied AI to deliver highly resilient and production-ready products at scale. Position Overview We are looking for a DevOps Specialist Engineer with strong experience in Site Reliability Engineering, cloud platform engineering, software development, and production operations. The ideal candidate will have hands-on experience operating large-scale distributed systems across Azure, AWS, or GCP, along with exposure to AI/ML, GenAI, LLMOps/MLOps, observability, performance engineering, and cloud cost optimization. The role requires a strong engineering mindset and the ability to build reliable, secure, scalable, and highly automated production platforms. Responsibilities • Design, build, operate, and continuously improve large-scale cloud-native production systems. • Define and own SLIs, SLOs, SLAs, error budgets, and reliability objectives. • Lead production incident response, on-call operations, root-cause analysis, and reliability improvements. • Build and manage CI/CD pipelines, Kubernetes platforms, infrastructure automation, and multi-environment deployments. • Implement Infrastructure as Code using Terraform and deployment automation using tools such as ArgoCD. • Develop production-grade observability across metrics, logging, and distributed tracing. • Work with technologies such as Prometheus, Grafana, OpenTelemetry, Datadog, Dynatrace, Splunk, Azure Monitor, and AWS CloudWatch. • Operate AI/ML and GenAI workloads in production, addressing reliability, performance, model drift, output variance, and train/serve skew. • Support MLOps/LLMOps platforms and AI control-plane capabilities such as model gateways and guardrails. • Implement Kubernetes/Docker-based solutions and cloud-native networking across multiple environments. • Conduct load and performance testing using tools such as LoadRunner, k6, or JMeter. • Implement chaos engineering, capacity planning, autoscaling, and resilience testing. • Drive cloud and AI FinOps, including GPU, inference, and token-cost attribution and optimization. • Implement security controls including RBAC, least privilege, secrets management, deployment approvals, and segregation of duties. • Collaborate with software engineering, security, data/AI, and product teams to improve platform reliability and operational excellence. Skills & Experience • 6–9 years of experience in DevOps, SRE, Site Reliability Engineering, Platform Engineering, or Software Engineering. • Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline. • Strong programming experience in one or more of Python, C#/.NET, Go, Java, or Bash. • Strong hands-on experience with Azure, AWS, or GCP; Azure/AWS preferred. • Experience with Kubernetes, Docker, Terraform, and cloud-native architectures. • Strong understanding of CI/CD, GitHub, Azure DevOps (ADO), and ArgoCD. • Experience with production observability and monitoring using tools such as Prometheus, Grafana, OpenTelemetry, Datadog, Dynatrace, Splunk, CloudWatch, or Azure Monitor. • Strong understanding of SRE principles, SLIs, SLOs, SLAs, error budgets, incident management, and production on-call operations. • 3+ years of experience operating or supporting large-scale production systems. • Experience with AI/ML or GenAI workloads in production and familiarity with Azure OpenAI, AWS Bedrock, or Vertex AI. • Knowledge of MLOps/LLMOps, MLflow, LangFuse, LangSmith, or equivalent AI/agent orchestration platforms. • Experience with load/performance testing, capacity planning, autoscaling, and chaos engineering. • Understanding of cloud cost optimization/FinOps, including AI/GPU/inference and token-cost management. • Knowledge of DevSecOps, RBAC, secrets management, security controls, and environment integrity. • Strong understanding of OOP/OOD, data structures, algorithms, code instrumentation, and software engineering practices. • Ability to understand and work with business context, sequence, activity, state, entity-relationship, and data-flow diagrams. • Exposure to XP, Lean, SRE, and AI-augmented/spec-driven software development is an advantage.

Overview We are looking for a highly experienced technical leader to take ownership of the stability, performance, and operational excellence of a large-scale Order-to-Activation ecosystem. This role combines deep application support expertise with engineering leadership, focusing on production reliability, incident management, root cause analysis, automation, and continuous service improvement. You will act as the highest level technical escalation point for complex production issues while working closely with software engineering, product, infrastructure, and operations teams to improve platform reliability and reduce operational risk. Key Responsibilities Production Incident Management • Lead the resolution of critical production incidents impacting customer order processing and service activation. • Coordinate cross-functional technical teams during major outages and service degradation events. • Manage incident communications, stakeholder updates, and post-incident reviews. • Establish best practices for incident response and operational readiness. Root Cause Analysis & Problem Resolution • Investigate recurring application, integration, and data-related issues across distributed systems. • Analyze logs, APIs, databases, messaging systems, and microservices to identify underlying causes. • Drive permanent corrective actions and collaborate with development teams on long-term fixes. • Monitor trends and identify opportunities to eliminate recurring incidents. Operational Excellence • Improve platform reliability, scalability, and supportability through continuous process enhancement. • Define operational KPIs and implement measures to improve service quality. • Design monitoring and observability solutions to proactively identify issues before customer impact occurs. • Develop operational procedures, knowledge articles, runbooks, and troubleshooting guides. Automation & Engineering Improvement • Build and enhance automation tools that reduce manual effort and operational overhead. • Streamline deployment, diagnostics, health checks, and data repair activities. • Partner with development teams to improve system resilience and operational efficiency. • Advocate for automation-first approaches across support and engineering functions. Technical Leadership • Serve as the primary technical authority for the Order Management and Activation platform. • Mentor support engineers and provide guidance on troubleshooting methodologies and best practices. • Participate in architectural discussions and influence future platform enhancements. • Drive technical standards and promote a culture of operational excellence. Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. • 5+ years of hands-on Java development experience, preferably within distributed or microservices-based environments. • 5+ years of experience supporting or designing Order Management, Fulfillment, Billing, or Customer Lifecycle platforms. • Strong knowledge of SQL and NoSQL databases, including data modeling and query optimization. • Experience with modern DevOps and container technologies such as Docker, Kubernetes, Jenkins, and Ansible. • Proven experience performing deep technical troubleshooting and complex root cause analysis in production environments. • Strong understanding of application architecture, APIs, integrations, and enterprise-scale systems. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience supporting telecommunications, subscription-based services, or other high-volume transaction platforms. • Knowledge of business support systems, order orchestration, activation workflows, or billing platforms. • Experience leading technical projects and cross-functional initiatives. • Familiarity with IT service management frameworks and operational processes. • Strong customer-centric mindset with a focus on service reliability and operational ownership. • Experience implementing observability, performance monitoring, and proactive alerting solutions.

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers Azure App Engineer Role Summary: The Azure App Engineer is responsible for designing, developing, enhancing, deploying, maintaining, and supporting enterprise applications using Microsoft .NET, Blazor, Microsoft SQL Server, and Azure DevOps. The role combines hands-on software engineering, database development, CI/CD automation, Agile delivery, and production support to deliver secure, scalable, reliable, and maintainable business solutions for enterprise application portfolios. Key Responsibilities • Design, develop, test, deploy, maintain, and support enterprise applications using Microsoft .NET and Blazor technologies. • Build scalable, maintainable, reusable, and secure web application components aligned with enterprise architecture and coding standards. • Develop, optimize, and troubleshoot Microsoft SQL Server database solutions, including queries, stored procedures, views, functions, and database objects. • Implement database connectivity, integrations, APIs, and application interfaces required for enterprise business processes. • Create, maintain, and improve Azure DevOps CI/CD pipelines, source control repositories, build automation, release automation, and deployment processes. • Participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog refinement. • Provide application maintenance, enhancements, bug fixes, production support, incident analysis, troubleshooting, and root cause resolution. • Ensure adherence to secure coding practices, quality standards, documentation requirements, operational controls, and software development best practices. • Collaborate with business stakeholders, solution architects, QA teams, DevOps engineers, infrastructure teams, and support teams to deliver high-quality solutions. Technical Skills Required • Microsoft .NET development: strong hands-on coding experience using .NET Framework / .NET, C#, ASP.NET, object-oriented programming, and modern web application patterns. • Blazor development: experience building web applications using Blazor Server and/or Blazor WebAssembly with reusable, component-based UI design. • Microsoft SQL Server: strong knowledge of database connectivity, query writing, query optimization, troubleshooting, stored procedures, views, functions, and database design. • Application lifecycle: experience across architecture, design, development, testing, deployment, maintenance, and production support activities. • Azure DevOps: hands-on experience with Git repositories, branching, pull requests, CI/CD pipelines, build automation, release management, deployment automation, and environment promotion. • Agile delivery: experience working in Agile/Scrum teams with sprint-based planning, estimation, collaboration, delivery tracking, and continuous improvement practices. • Application support: strong troubleshooting, debugging, incident resolution, root cause analysis, and permanent fix implementation skills. Preferred Skills • Experience with Microsoft Azure services, cloud-hosted applications, cloud integration patterns, and enterprise application hosting models. • Knowledge of REST APIs, API integrations, microservices concepts, design patterns, and modern application architecture principles. • Experience with monitoring, logging, telemetry, observability, performance tuning, reliability improvement, and operational readiness. • Understanding of secure coding, authentication, authorization, identity integration, secrets management, and vulnerability remediation. • Exposure to containerization technologies such as Docker and Kubernetes is an added advantage. Qualifications & Experience • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. • Relevant experience in .NET application development, application enhancement, enterprise application support, and maintenance. • Hands-on experience building and supporting enterprise web applications using .NET, Blazor, and Microsoft SQL Server. • Experience creating and managing CI/CD pipelines, source control repositories, build/release automation, and deployment processes using Azure DevOps or similar platforms. • Ability to work independently and collaboratively across business, technical, QA, DevOps, infrastructure, and support teams. Leadership & Collaboration Expectations • Translate business needs into practical, secure, maintainable, and supportable application solutions. • Partner with solution architects, QA teams, DevOps engineers, support teams, and business stakeholders throughout the delivery lifecycle. • Communicate clearly with technical and non-technical audiences and maintain useful technical documentation, support notes, and operational procedures. • Demonstrate ownership, accountability, attention to detail, and a continuous improvement mindset across development and support responsibilities. • Contribute to code reviews, knowledge sharing, reusable assets, engineering standards, and application reliability improvements. Success Metrics • Secure, scalable, maintainable, and well-documented applications delivered in alignment with business requirements and enterprise standards. • Improved deployment reliability and release quality through repeatable CI/CD automation and disciplined DevOps practices. • Reduced recurring incidents through effective troubleshooting, root cause analysis, performance tuning, and permanent fixes. • Consistent Agile delivery contribution, strong collaboration, and timely completion of development, enhancement, and support commitments. • Improved application performance, supportability, operational readiness, and stakeholder satisfaction. Nice-to-Have Certifications • Microsoft Certified: Azure Developer Associate. • Microsoft Certified: Azure DevOps Engineer Expert. • Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert. • Relevant Agile, Scrum, software engineering, database, or secure development certifications. Join our Talent Community to stay connected with us! DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information. DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers Azure App Engineer Role Summary: The Azure App Engineer is responsible for designing, developing, enhancing, deploying, maintaining, and supporting enterprise applications using Microsoft .NET, Blazor, Microsoft SQL Server, and Azure DevOps. The role combines hands-on software engineering, database development, CI/CD automation, Agile delivery, and production support to deliver secure, scalable, reliable, and maintainable business solutions for enterprise application portfolios. Key Responsibilities • Design, develop, test, deploy, maintain, and support enterprise applications using Microsoft .NET and Blazor technologies. • Build scalable, maintainable, reusable, and secure web application components aligned with enterprise architecture and coding standards. • Develop, optimize, and troubleshoot Microsoft SQL Server database solutions, including queries, stored procedures, views, functions, and database objects. • Implement database connectivity, integrations, APIs, and application interfaces required for enterprise business processes. • Create, maintain, and improve Azure DevOps CI/CD pipelines, source control repositories, build automation, release automation, and deployment processes. • Participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog refinement. • Provide application maintenance, enhancements, bug fixes, production support, incident analysis, troubleshooting, and root cause resolution. • Ensure adherence to secure coding practices, quality standards, documentation requirements, operational controls, and software development best practices. • Collaborate with business stakeholders, solution architects, QA teams, DevOps engineers, infrastructure teams, and support teams to deliver high-quality solutions. Technical Skills Required • Microsoft .NET development: strong hands-on coding experience using .NET Framework / .NET, C#, ASP.NET, object-oriented programming, and modern web application patterns. • Blazor development: experience building web applications using Blazor Server and/or Blazor WebAssembly with reusable, component-based UI design. • Microsoft SQL Server: strong knowledge of database connectivity, query writing, query optimization, troubleshooting, stored procedures, views, functions, and database design. • Application lifecycle: experience across architecture, design, development, testing, deployment, maintenance, and production support activities. • Azure DevOps: hands-on experience with Git repositories, branching, pull requests, CI/CD pipelines, build automation, release management, deployment automation, and environment promotion. • Agile delivery: experience working in Agile/Scrum teams with sprint-based planning, estimation, collaboration, delivery tracking, and continuous improvement practices. • Application support: strong troubleshooting, debugging, incident resolution, root cause analysis, and permanent fix implementation skills. Preferred Skills • Experience with Microsoft Azure services, cloud-hosted applications, cloud integration patterns, and enterprise application hosting models. • Knowledge of REST APIs, API integrations, microservices concepts, design patterns, and modern application architecture principles. • Experience with monitoring, logging, telemetry, observability, performance tuning, reliability improvement, and operational readiness. • Understanding of secure coding, authentication, authorization, identity integration, secrets management, and vulnerability remediation. • Exposure to containerization technologies such as Docker and Kubernetes is an added advantage. Qualifications & Experience • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. • Relevant experience in .NET application development, application enhancement, enterprise application support, and maintenance. • Hands-on experience building and supporting enterprise web applications using .NET, Blazor, and Microsoft SQL Server. • Experience creating and managing CI/CD pipelines, source control repositories, build/release automation, and deployment processes using Azure DevOps or similar platforms. • Ability to work independently and collaboratively across business, technical, QA, DevOps, infrastructure, and support teams. Leadership & Collaboration Expectations • Translate business needs into practical, secure, maintainable, and supportable application solutions. • Partner with solution architects, QA teams, DevOps engineers, support teams, and business stakeholders throughout the delivery lifecycle. • Communicate clearly with technical and non-technical audiences and maintain useful technical documentation, support notes, and operational procedures. • Demonstrate ownership, accountability, attention to detail, and a continuous improvement mindset across development and support responsibilities. • Contribute to code reviews, knowledge sharing, reusable assets, engineering standards, and application reliability improvements. Success Metrics • Secure, scalable, maintainable, and well-documented applications delivered in alignment with business requirements and enterprise standards. • Improved deployment reliability and release quality through repeatable CI/CD automation and disciplined DevOps practices. • Reduced recurring incidents through effective troubleshooting, root cause analysis, performance tuning, and permanent fixes. • Consistent Agile delivery contribution, strong collaboration, and timely completion of development, enhancement, and support commitments. • Improved application performance, supportability, operational readiness, and stakeholder satisfaction. Nice-to-Have Certifications • Microsoft Certified: Azure Developer Associate. • Microsoft Certified: Azure DevOps Engineer Expert. • Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert. • Relevant Agile, Scrum, software engineering, database, or secure development certifications. Join our Talent Community to stay connected with us! DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information. DuPont offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

The job profile for this position is HIH - Software Engineering Associate Advisor, which is a Band 3 Senior Contributor Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses. Evernorth Health Services India builds on The Cigna Group’s existing presence in India. About Evernorth Health Services: Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence. About Cigna: The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group. Job Title: Software Engineer Associate Advisor Position Overview: The AI CoE team is seeking Gen AI Fullstack Software Engineer to work on the AI ecosystem. The GenAI Fullstack Engineer will be responsible for designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness. Key components include Angular and React JS based user interfaces, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) document processing pipeline and integration with various Robotic Process Automation (RPA) platforms. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle. Primary responsibilities are to build an AI Platform(s) leveraging the LLM’s and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment. Responsibilities: • Full stack development including triage, design, coding and implementation. • Build enterprise grade AI solutions with focus on privacy, security, fairness. • Perform code reviews with scrum teams to approve for Production deployment. • Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs • Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity • Maintains a strong and collaborative relationship with delivery partners and business stakeholders. Qualifications: Education: · Degree in Computer Science, Artificial Intelligence, or a related field. Experience: · Minimum of 8-11years of experience in Workforce Management. Skills: • This position requires a highly technical, hands-on, motivated and collaborative individual with exceptional communication skills, proven experience working with diverse teams of technical architects, business users and IT areas on all phases of the software development life-cycle • 9+ years of total experience. • 6+ years of experience in Fullstack development (Frontend, Backend and Cloud) • 2+ years experience in DevOps. • 1+ year in developing Gen AI Solutions and its integration with other systems. Detailed list of Skillset required – • ### Front-End Development Skills • 1. HTML/CSS/JavaScript: Proficiency in the core technologies for building web interfaces. • 2. Front-End Frameworks: Knowledge of frameworks like React, Angular for creating interactive and responsive user interfaces. • 3. UI/UX Design: Basic understanding of user experience and user interface design principles. • * ### Back-End Development Skills • 1. Server-Side Languages: Proficiency in server-side languages such as Python, Node.js. • 2. APIs: Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs. • 3. Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc. • * ### DevOps and Cloud Skills • 1. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. • 2. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices. • 3. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. • 4. Cloud Services: Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying and managing applications and AI models. • * ### AI and Machine Learning Skills • 1. Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras. • 2. Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. • 3. Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face Transformers) for text generation tasks. • 4. Model Deployment: Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e.g., AWS SageMaker, Google AI Platform). • 5. Basic understanding of implementing Prompt Engineering, Finetuning and RAG. • * ### Additional Skills • 1. Version Control: Proficiency with Git and version control workflows. • 2. Software Development Practices: Understanding of agile methodologies, testing, and code review practices. Work Hours: · 11.30AM IST to 8.30PM IST Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.

Your opportunity ​​At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.​ Schwab is seeking a driven, results-oriented Software Development Engineer in Test (SDET) Technical Lead who shares our passion for technology, innovation, engineering excellence, and delivering exceptional client experiences. As part of our ongoing modernization efforts, we are evolving our enterprise platforms using cloud-native architectures, AI-assisted engineering practices, modern quality engineering frameworks, and continuous delivery pipelines. We embrace Behavior-Driven Development (BDD), Specification-Driven Development (SDD), Test-Driven Development (TDD), and Continuous Integration/Continuous Delivery (CI/CD) to build high-quality, scalable, and resilient solutions. The SDET will thrive in a fast-paced Agile environment, partnering closely with software engineers, product owners, architects, and quality engineers to ensure quality is engineered into every stage of the software development lifecycle. This role requires a strong software engineering mindset, deep test automation expertise, and the ability to lead quality transformation initiatives across multiple teams. What you have Required Skills: ​​• Bachelor of Science in Computer Science or a related field • 3-5 years of experience in Software Quality Assurance or Software Engineering • Understanding of QA practices (black box testing, risk based testing, system testing, regression testing, exploratory testing practices) • Strong technical competency in an OOP language such as C#.NET/Java or an expert in test automation tools including Selenium or other industry leading tool sets • Team player with excellent communication skills (oral and written) to partner technically with Application Architects, Development, QA/Testing organizations and Business teams • Strong software development background with proficiency in languages such as Java, C#, Python, or JavaScript/TypeScript. • Deep expertise in test automation frameworks, API testing, CI/CD pipelines, and cloud-native testing approaches. • Hands-on experience implementing BDD, TDD, and Specification-Driven Development methodologies. • Working knowledge of Agile, Iterative development process and methodologies is essential • Passion for building solutions through automation, driven by innovation and commitment to lifelong learning • Strong problem-solving skills including ability to disseminate complex ideas in a simplified fashion • Demonstrated ability to work well under pressure in a fast-paced environment ▪ Troubleshoots and resolves technical issues using best practices to support live applications ▪ Prioritizes compliance, security, and scalability of data systems ▪ Addresses QA challenges by applying best practices in testing and compliance ▪ Monitors and addresses security policy violations using best practices ▪ Resolves software design challenges using predictive and adaptive methods ▪ Applies best practices to build, test, and validate software components while resolving issues​ Preferred Skills: ​​• Acceptance test-driven development (ATDD) or Behavior Driven Development (BDD) using Gherkin languages like Cucumber or SpecFlow is a plus • 1+ years of experience with Service Oriented Architecture Quality Assurance, and thorough knowledge of testing API orchestration layers and Real-Time Messaging interfaces such as RabbitMQ or Kafka • Exposure to a regulatory environment (like Banking & Finance or Health care etc.) • Experience in developing or influencing the development of scalable automated framework(s) that orchestrate enterprise level functional and regression testing is preferable • Hands on experience with DevOps and Continuous Integration tools (Bamboo/GIT etc) ▪ Conducts in-depth analysis, evaluates factors, and influences decisions with insights ▪ Ensures stakeholders has the necessary information for informed decisions ▪ Anticipates consequences of situations and acts to prepare for contingencies in assigned tasks ▪ Identifies opportunities for process improvements and implements creative solutions ▪ Influences team quality and effectiveness with decisions ▪ Verbally presents ideas confidently, ensuring mutual understanding ▪ Builds credibility with expertise, transparency, and confidentiality ▪ Delivers powerful messages with persuasive language to drive viewpoint adoption ▪ Produces work that meets or exceeds quality expectations ▪ Writes concise, well-structured, and engaging business documents​ What’s in it for you At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration – so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security. Our base benefits, wellbeing, and total rewards include: • Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions • Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more • Education assistance for continued learning to help you grow • Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage • Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP) • Childcare (creche) reimbursement for eligible employees • Transportation and meal benefits that support your day-to-day work • Group life, personal accident, and critical illness insurance

Our people are our most important asset. Thank you for considering this opportunity as the next step in your career! Scope: The P4 QA Engineer works as part of a self-organized agile team, owning test design and execution across manual and automated suites for PSR products, while collaborating closely with developers and product owners to ensure high-quality, on-time delivery.​ Our current technical environment: • Experience testing retail, planogram, store execution, or shelf/PSR solutions or other supply chain / retail products.​ • Exposure to cloud-native environments (Azure or other major cloud platforms) and authentication standards such as OAuth/SSO.​ • Experience integrating automation suites into containerized or cloud-based execution grids. • Prior experience in a product-based organization delivering large-scale enterprise solutions, ideally in supply chain or retail technology.​ What you’ll do: • Works with the team on quality assurance and quality control of the product during development and execution phases, actively participating in grooming, planning, and reviews.​ • Develops and maintains test cases and test data for all relevant modules of the product, ensuring traceability to business and functional requirements.​ • Executes manual and automated test cases across functional, regression, system, and integration testing and publishes clear, actionable test results.​ • Writes and maintains robust, reusable test automation scripts using Playwright with a BDD framework (e.g., Cucumber) and integrates them into CI/CD pipelines.​ • Reviews automated and manual tests, identifies gaps, and suggests options to improve coverage, reliability, and maintainability of the test suite. • Identifies, logs, and tracks software defects following the defined defect lifecycle, and collaborates with developers for root-cause analysis and quick resolution.​ • Provides inputs to system, regression, and performance test planning, including environment, data, and tool requirements.​ • Assists in the collection and interpretation of test metrics (coverage, defect trends, execution health) and recommends corrective actions to improve product and process quality.​ • Understands and clarifies business requirements and acceptance criteria, ensuring that tests reflect real customer workflows in PSR / retail execution contexts.​ • Follows standard development and testing processes, adheres to coding and documentation standards, and contributes to continuous improvement of QA practices.​ • Plans and prioritizes own work with guidance from the manager and scrum team, proactively flagging risks and impairments to commitments. • Provides cross-training and education to other test personnel and offers constructive feedback and guidance to junior QA team members. What we are looking for: • Bachelor’s degree in computer science, Information Technology, or related field. • Approximately 4–7 years of hands-on experience in software testing, including both manual and automation testing for enterprise or SaaS products.​ • Strong experience in UI test automation using Playwright or similar modern frameworks, preferably with JavaScript/TypeScript. • Practical experience with BDD frameworks (e.g., Cucumber, Spec Flow) and behavior-driven test design.​ • Good understanding of test design techniques, regression strategy, risk-based testing, and end-to-end scenario validation. • Experience with API testing using tools like Postman or REST-assured and basic knowledge of performance testing concepts.​ • Familiarity with Git-based version control and CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.​ • Working knowledge of defect and test management tools (e.g., JIRA, ALM or similar).​ • Strong analytical and problem-solving skills, with attention to detail and a mindset for continuous improvement.​ • Effective written and verbal communication skills and ability to collaborate across globally distributed teams.​ All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.