11 Cka Jobs

As a Site Reliability Engineering (SRE) Technical Leader on the Network Assurance Data Platform (NADP) team at Cisco ThousandEyes, you will be responsible for ensuring the reliability, scalability, and security of the cloud and big data platforms. Your role will involve representing the NADP SRE team, contributing to the technical roadmap, and collaborating with cross-functional teams to design, build, and maintain SaaS systems operating at multi-region scale. Your efforts will be crucial in supporting machine learning (ML) and AI initiatives by ensuring the platform infrastructure is robust, efficient, and aligned with operational excellence. You will be tasked with designing, building, and optimizing cloud and data infrastructure to guarantee high availability, reliability, and scalability of big-data and ML/AI systems. This will involve implementing SRE principles such as monitoring, alerting, error budgets, and fault analysis. Additionally, you will collaborate with various teams to create secure and scalable solutions, troubleshoot technical problems, lead the architectural vision, and shape the technical strategy and roadmap. Your role will also encompass mentoring and guiding teams, fostering a culture of engineering and operational excellence, engaging with customers and stakeholders to understand use cases and feedback, and utilizing your strong programming skills to integrate software and systems engineering. Furthermore, you will develop strategic roadmaps, processes, plans, and infrastructure to efficiently deploy new software components at an enterprise scale while enforcing engineering best practices. To be successful in this role, you should have relevant experience (8-12 yrs) and a bachelor's engineering degree in computer science or its equivalent. You should possess the ability to design and implement scalable solutions, hands-on experience in Cloud (preferably AWS), Infrastructure as Code skills, experience with observability tools, proficiency in programming languages such as Python or Go, and a good understanding of Unix/Linux systems and client-server protocols. Experience in building Cloud, Big data, and/or ML/AI infrastructure is essential, along with a sense of ownership and accountability in architecting software and infrastructure at scale. Additional qualifications that would be advantageous include experience with the Hadoop Ecosystem, certifications in cloud and security domains, and experience in building/managing a cloud-based data platform. Cisco encourages individuals from diverse backgrounds to apply, as the company values perspectives and skills that emerge from employees with varied experiences. Cisco believes in unlocking potential and creating diverse teams that are better equipped to solve problems, innovate, and make a positive impact.,

As a DevOps Engineer at our company based in Delhi, you will play a crucial role in building and managing real infrastructure, focusing on AWS, Kubernetes, and Linux technologies. Your responsibilities will encompass a blend of technical expertise and managerial skills, requiring effective communication and coordination to ensure seamless integration of various functions and deliverables that meet customer satisfaction. You will be expected to demonstrate strong troubleshooting skills in AWS and Linux environments, hold certifications such as CKA or CKAD, and possess a solid understanding of DevOps practices. Additionally, your role will involve understanding customer requirements, implementing development and automation tools, and overseeing IT infrastructure. In terms of soft skills, you will be responsible for planning team structures, engaging in project management activities, promoting automation processes, selecting appropriate CI/CD tools, and providing mentorship to team members. Your ability to understand project KPIs and drive the team towards efficient and automated processes will be essential for success in this role. Joining our team will offer you the opportunity to make a real impact from day one, engage in hands-on work with production systems, and collaborate with a dynamic team that deeply understands DevOps and DevSecOps principles. If you are passionate about AWS, Kubernetes, and Linux, and are eager to contribute to impactful projects, we encourage you to apply or reach out to us directly. #DevOpsJobs #HiringNow #AWS #Kubernetes #Linux #TechHiring,

Job Description: Role: Senior Site Reliability Engineer Location : Navi Mumbai ( Ghansoli ) Work Timings: 2 PM to 11 PM Position Requirements: • 3+ years' experience in supporting web-based applications for large scale and high-traffic websites • 4+ years experience working with UNIX/Linux or Windows servers • 3+ years’ experience working with containerization technologies such as Docker and Kubernetes • Certified Kubernetes Administrator (CKA) preferred • Experience in troubleshooting and performance tuning of distributed systems and web applications • Fundamental understanding of TCP/IP, DNS, HTTP and load balancing concepts • Experience working with Load Balancers such as F5’s Big-IP • Experience with configuration management tools like Chef, Puppet, Ansible or Saltstack • Experience in scripting languages like Ruby, Python, Bash or Powershell • Experience working with DevOps Open-Source tools such as ArgoCD, Elastic (ELK Stack), Hashicorp Tools (Terraform, Consul, Vault or Nomad), RabbitMQ, SOLR, Redis & Kafka • Fundamental understanding of CI/CD with experience in creating CI/CD pipelines with tools such as GitLab, Jenkins, CircleCI • Ability to communicate high-level as well as detailed technical concepts and implementations with peers and colleagues Role & Responsibilities: • Manage and improve Infrastructure as Code tools and automated provisioning workflows • Administer on-premise Kubernetes and private cloud platforms • Participate in a fast-paced, agile environment • Develop your abilities via provided training opportunities If Interested, Kindly share your updated resume with below details- Current CTC- Expected CTC- Notice Period- Comfortable for Working Hours and WFO ?-

Responsibilities Own the cloud infrastructure and resources with attention to cost and resilience Lead initiatives to improve the monitoring and observability of platform, products, and cost. On-call support for incident management and disaster recovery. Lead the implementation and adoption of automation solutions for build, test, and deployment. Partner with the Engineering teams to improve our continuous integration and testing system. Lead initiatives and improvements to the tools and in-house frameworks. Experience and Competencies The following experience is expected to be successful in this role. Required 10+ years of experience in DevOps roles Proficient in managing infrastructure with cloud providers, preferably AWS. Proficient with declarative infrastructure and continuous delivery as code tools (Terraform, CloudFormation, Argos CD, Github Actions). Proficient in Linux administration and networking. Proficient evangelizing DevOps best practices to Engineering teams. Proficient in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security. Proficient programming in Python or shell. Proficient in at least one monitoring platform (DataDog desirable) Desirable AWS Certified SysOps Administrator and/or AWS Certified DevOps Engineer CKA, CKAD and CKS certification is a good to have Bachelors degree in Computer science or similar fields. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in growth. We re honest about what s working and what isn t, and we never stop improving and innovating.

Responsibilities Own the cloud infrastructure and resources with attention to cost and resilience Lead initiatives to improve the monitoring and observability of platform, products, and cost. On-call support for incident management and disaster recovery. Lead the implementation and adoption of automation solutions for build, test, and deployment. Partner with the Engineering teams to improve our continuous integration and testing system. Lead initiatives and improvements to the tools and in-house frameworks. Experience and Competencies The following experience is expected to be successful in this role. Required 10+ years of experience in DevOps roles Proficient in managing infrastructure with cloud providers, preferably AWS. Proficient with declarative infrastructure and continuous delivery as code tools (Terraform, CloudFormation, Argos CD, Github Actions). Proficient in Linux administration and networking. Proficient evangelizing DevOps best practices to Engineering teams. Proficient in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security. Proficient programming in Python or shell. Proficient in at least one monitoring platform (DataDog desirable) Desirable AWS Certified SysOps Administrator and/or AWS Certified DevOps Engineer CKA, CKAD and CKS certification is a good to have Bachelors degree in Computer science or similar fields. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in growth. We re honest about what s working and what isn t, and we never stop improving and innovating.

Job Summary: We are seeking a highly skilled and certified Red Hat Certified Technical Instructor with expertise in Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE), and Red Hat OpenShift. The ideal candidate will provide expert-level instruction, ensuring learners gain hands-on proficiency in Red Hat technologies and are well-prepared for industry certifications. Key Responsibilities: Deliver in-depth, instructor-led training for RHCSA, RHCE, and OpenShift to individuals, corporate clients, and teams. Design and develop tailored course materials, including presentations, hands-on labs, and certification preparation guides. Provide practical examples and scenarios to demonstrate the real-world applications of Red Hat technologies. Offer expert guidance in system administration, advanced troubleshooting, and OpenShift deployment. Conduct workshops, boot camps, and certification review sessions for professional development. Mentor students in their preparation for certification exams by providing regular feedback and assessments. Stay current with the latest Red Hat technologies, releases, and industry best practices. Support students in troubleshooting lab environments, networking issues, and OpenShift cluster setups. Required Skills & Qualifications: RHCSA and RHCE certification (Mandatory). Extensive hands-on experience with OpenShift (Certification preferred but not mandatory with sufficient experience). Proficiency in Linux system administration, networking, and security configurations. Strong knowledge of virtualization technologies (KVM, VMware) and cloud environments (AWS, Azure). Experience in automation using Ansible, Bash scripting, or other relevant tools. Familiarity with containerization technologies like Docker, Kubernetes, and OpenShift. Experience with CI/CD pipelines and DevOps tools (Jenkins, Git, CI/CD workflows). Strong understanding of Linux networking, firewalls, and SELinux policies. Excellent communication, presentation, and leadership skills. Ability to simplify complex concepts for diverse learners, from beginners to advanced professionals. Preferred: Certified Kubernetes Administrator (CKA) or equivalent certification. Experience in cloud-native architectures and microservices. Knowledge of IT infrastructure automation and cloud orchestration. Prior experience in a technical training or corporate mentoring role. Benefits: Competitive salary and performance-based bonuses. Opportunities for continuous learning and development. Flexible working hours with remote options. Access to advanced learning materials and certification support.

Senior xOps Specialist AIOps, MLOps & DataOps Architect Location: Chennai, Pune Employment Type: Fulltime - Hybrid Experience Required: 12-15 years Job Summary: We are seeking a Senior xOps Specialist to architect, implement, and optimize AI-driven operational frameworks across AIOps, MLOps, and DataOps. The ideal candidate will design and enhance intelligent automation, predictive analytics, and resilient pipelines for large-scale data engineering, AI/ML deployments, and IT operations. This role requires deep expertise in AI/ML automation, data-driven DevOps strategies, observability frameworks, and cloud-native orchestration. Key Responsibilities – Design & Architecture AIOps: AI-Driven IT Operations & Automation Architect AI-powered observability platforms, ensuring predictive incident detection and autonomous IT operations. Implement AI-driven root cause analysis (RCA) for proactive issue resolution and performance optimization. Design self-healing infrastructures leveraging machine learning models for anomaly detection and remediation workflows. Establish event-driven automation strategies, enabling autonomous infrastructure scaling and resilience engineering. MLOps: Machine Learning Lifecycle Optimization Architect end-to-end MLOps pipelines, ensuring automated model training, validation, deployment, and monitoring. Design CI/CD pipelines for ML models, embedding drift detection, continuous optimization, and model explainability. Implement feature engineering pipelines, leveraging data versioning, reproducibility, and intelligent retraining techniques. Ensure secure and scalable AI/ML environments, optimizing GPU-accelerated processing and cloud-native model serving. DataOps: Scalable Data Engineering & Pipelines Architect data processing frameworks, ensuring high-performance, real-time ingestion, transformation, and analytics. Build data observability platforms, enabling automated anomaly detection, data lineage tracking, and schema evolution. Design self-optimizing ETL pipelines, leveraging AI-driven workflows for data enrichment and transformation. Implement governance frameworks, ensuring data quality, security, and compliance with enterprise standards. Automation & API Integration Develop Python or Go-based automation scripts for AI model orchestration, data pipeline optimization, and IT workflows. Architect event-driven xOps frameworks, enabling intelligent orchestration for real-time workload management. Implement AI-powered recommendations, optimizing resource allocation, cost efficiency, and performance benchmarking. Cloud-Native & DevOps Integration Embed AI/ML observability principles within DevOps pipelines, ensuring continuous monitoring and retraining cycles. Architect cloud-native solutions optimized for Kubernetes, containerized environments, and scalable AI workloads. Establish AIOps-driven cloud infrastructure strategies, automating incident response and operational intelligence. Qualifications & Skills – xOps Expertise Deep expertise in AIOps, MLOps, and DataOps, designing AI-driven operational frameworks. Proficiency in automation scripting, leveraging Python, Go, and AI/ML orchestration tools. Strong knowledge of AI observability, ensuring resilient IT operations and predictive analytics. Extensive experience in cloud-native architectures, Kubernetes orchestration, and serverless AI workloads. Ability to troubleshoot complex AI/ML pipelines, ensuring optimal model performance and data integrity. Preferred Certifications (Optional): AWS Certified Machine Learning Specialist Google Cloud Professional Data Engineer Kubernetes Certified Administrator (CKA) DevOps Automation & AIOps Certification

Position Overview: The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimizing costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimized for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimize AWS cloud infrastructure, including EKS,ECS, S3, VPCs, RDS, IAM, and more. Implement best practices for cost management, scaling, and security within AWS. Helm Management: Utilize Helm to automate and streamline the deployment of applications and services to Kubernetes clusters. Create, maintain, and manage Helm charts for production-ready deployments. Karpenter Implementation: Implement and manage Karpenter to dynamically scale Kubernetes clusters in response to workload demands. Istio Service Mesh Management: Configure and manage Istio to provide service-to-service communication, security, and observability within the Kubernetes clusters. Enable fine-grained traffic management, service discovery, and policy enforcement. Platform Automation & Scaling: Automate the deployment, scaling, and management of infrastructure and applications. Work with CI/CD pipelines to ensure a seamless flow from development to production with minimal downtime. Incident Management & Troubleshooting: Respond to incidents, troubleshoot, and resolve system issues related to performance, availability, and security in a timely and effective manner. Security & Compliance: Design and implement secure cloud infrastructure with appropriate access controls, network security, and compliance frameworks. Documentation & Knowledge Sharing: Create and maintain detailed documentation for Kubernetes platform setup, operational procedures, and best practices. Promote knowledge sharing across teams. Required Qualifications: 3+ years of experience with Kubernetes/ K8s, Helm,Karpenter,Istio; 5+ years of Experience with infrastructure-as-code tools like Terraform , Chef or Ansible 5+ years of Experience with serverless computing (AWS Lambda, API Gateway) and microservices architecture. Experience with multi-region cloud environments. Proven experience with AWS (EC2, RDS, S3, CloudFormation, IAM, etc.) and solid understanding of cloud-native architectures. Strong expertise in Kubernetes platform creation , management, and optimization (e.g., setting up highly available clusters, networking, and storage). Hands-on experience with Helm for Kubernetes application deployment and management. Practical experience with Karpenter for dynamic scaling of Kubernetes clusters and optimizing resource usage.Expertise in managing and securing Istio for service mesh, including traffic management, security, and observability features. Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI, Terraform, Ansible, Spinnaker).Strong scripting and automation skills in Python , Bash , or Go for infrastructure management and platform automation. Experience with monitoring, logging, and alerting tools such as Prometheus , Grafana , CloudWatch , and ELK Stack . Preferred Qualifications: Understanding of security best practices for cloud platforms and Kubernetes (e.g., role-based access control (RBAC), encryption, and compliance frameworks). Familiarity with Docker and containerization principles. Bachelor s degree in Computer Science, Engineering, or related field (or equivalent professional experience). Certifications (Preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS Certified DevOps Engineer are highly desirable.

What You ll Be Doing: Lead and implement secure, scalable Kubernetes clusters across on-prem, hybrid, and cloud environments. Integrate security throughout the cluster lifecycle (design to production) with network policies, RBAC, Pod Security Policies, and encryption. Work with development teams to enforce secure containerization practices and integrate security tools into CI/CD pipelines. Implement secure networking, service meshes (Istio, Linkerd), and implement mutual TLS for secure service-to-service communication. Secure CI/CD pipelines with automated security checks (code scanning, vulnerability assessments, configuration checks). Automate Kubernetes infrastructure provisioning with IaC tools (Terraform, CloudFormation, Ansible), embedding security best practices. Enhance automation workflows for patching, vulnerability assessments, and incident response. Implement observability strategies with Prometheus, Grafana, ELK Stack, and Loki for monitoring health, logging, performance, and security. Ensure security events are logged, monitored, and proactively mitigated. Participate in incident response, on-call rotations, root cause analysis, and post-incident reviews to refine security protocols. Define, document, and enforce Kubernetes security best practices and policies. What You ll Bring to the Role: Strong knowledge in Kubernetes, ECS, and migrating applications to cloud-native environments, ensuring security at every stage. Experience in designing secure identity management and access control solutions for Kubernetes, ECS, and cloud platforms. Experience in migrating legacy applications to Kubernetes and ECS, optimizing for security and scalability. Skilled in managing and securing cloud identities, roles, and implementing RBAC in Kubernetes and ECS. Extensive experience in securing and automating CI/CD pipelines with tools like Jenkins, GitLab CI, ArgoCD, and Spinnaker. Hands-on experience with container security using tools like Aqua Security, Twistlock, and runtime protection practices. In-depth understanding of service meshes like Istio and Linkerd, and securing communications with mutual TLS encryption. Expertise in using IaC tools like Terraform, CloudFormation, and Ansible for secure infrastructure automation. Skilled in using Prometheus, Grafana, and ELK Stack for real-time monitoring and proactive incident detection. Experience in managing incidents, troubleshooting, root cause analysis, and improving security protocols. Strong ability to collaborate with cross-functional teams and mentor junior engineers, promoting a security-first culture. Knowledge on secrets in Kubernetes using Vault, Secrets Manager, or Kubernetes Secrets. Experience & Qualifications: 5+ years of experience in managing large-scale, secure Kubernetes clusters, including architecture, security, and scalability. 5+ years of hands-on experience with ECS (Elastic Container Service) and migrating legacy monolithic applications to cloud-native environments (Kubernetes/ECS). 3+ years of experience in cloud security, including IAM (Identity and Access Management), role-based access control (RBAC), and secure identity management for cloud platforms and Kubernetes. 3+ years of experience in automating CI/CD pipelines using tools such as Spinnaker, Jenkins or ArgoCD with an emphasis on integrating security throughout the process. Strong knowledge of service mesh technologies (Istio, Linkerd) and secure networking practices in Kubernetes environments, including mutual TLS encryption. Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible, and the ability to automate infrastructure provisioning with a security-first approach. Proven experience in implementing monitoring and observability solutions with Prometheus, Grafana, Loki or similar tools to enhance security and detect incidents in real-time. Strong problem-solving skills with hands-on experience in incident management, troubleshooting, and conducting post-incident analysis. Excellent collaboration skills with experience working cross-functionally with security engineers, developers, and DevOps teams to enforce security best practices and policies. Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Certifications (preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), AWS Certified DevOps Engineer, or equivalent certifications in cloud and security domains.

DevOps Architect NP : Immediate to 30 days max Required Skills & Qualifications: Educational Background: Bachelors or Master’s degree in Computer Science, Information Technology, or a related field. Technical Expertise: Experience : 10+ years in DevOps, infrastructure engineering, or related fields, with 3+ years in a DevOps architecture role. Cloud Expertise : Deep experience with Azure (preferred) and AWS, with knowledge of GCP. Extensive understanding of cloud architecture, best practices, and platform-agnostic design. CI/CD : Expertise in CI/CD tools like Jenkins, GitLab CI/CD, and Azure DevOps, with advanced pipeline configuration, plugin management, and automation strategies. Infrastructure as Code (IaC) : Advanced skills in Terraform, CloudFormation, and Ansible for scalable, reliable, and secure cloud infrastructure. Container Orchestration : Proficient in Kubernetes and Docker, with experience designing and managing containerized, orchestrated environments. Monitoring & Logging : Skilled in Prometheus, Grafana, ELK stack, and Splunk, especially in managing high-availability, large-scale systems. Customer Interaction : Presales & Solutioning : Engage in presales, estimating efforts, and defining solution approaches for new projects. Proof of Concept (POC) : Design and lead POCs to showcase solution feasibility and innovation, using latest tools and best practices in the industry. Optimization : Continually improve and optimize existing infrastructure for performance, security, and cost-effectiveness. Architecture for Secure, Scalable, and Latest Technologies : Security : Architect secure DevOps workflows, implementing best practices like access control, vulnerability scanning, and compliance adherence. Scalability : Design scalable solutions that handle growing data and user demands, especially in multi-cloud and hybrid environments. Latest Technologies : Stay updated on advancements, particularly in Kubernetes, IaC, and cloud management, to ensure solutions leverage cutting-edge tools. Scripting & Programming : Strong scripting abilities in Python, Bash, or PowerShell, with knowledge of automation frameworks. Experience with API integration and automation using RESTful services and third-party integrations. Soft Skills : Strong leadership skills, focused on collaboration, mentorship, and strategic vision. Analytical problem-solving approach, with a data-driven mindset for optimizing infrastructure. Exceptional communication skills, capable of translating technical requirements to business stakeholders. Certifications (Preferred): Certified DevOps Architect, AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or equivalent. Key Responsibilities: Architecture & Design : Lead the design and implementation of scalable, resilient cloud architectures on AWS, Azure, or Google Cloud Platform (GCP). Establish DevOps standards, frameworks, and architectural guidelines to drive consistency across development, QA, and production environments. Create and maintain architecture diagrams, design documents, and infrastructure specifications. CI/CD Pipeline Management : Architect and optimize CI/CD pipelines for high efficiency, supporting continuous integration, automated testing, and smooth deployment workflows. Identify and implement tools to enhance the CI/CD process, ensuring robust automation across all stages of the SDLC. Enable version control and release management processes aligned with development needs. Infrastructure Automation & IaC : Develop and enforce infrastructure-as-code (IaC) practices using tools like Terraform, CloudFormation, or Ansible, ensuring repeatable and secure deployments. Integrate configuration management and provisioning tools to support a fully automated and self-healing infrastructure. Promote containerization, orchestration (Docker, Kubernetes), and microservices architecture for seamless application scaling. Monitoring & Incident Management : Design and implement comprehensive monitoring, logging, and alerting systems for real-time observability and proactive response. Collaborate with operations and security teams to build resilient systems with rapid incident response and disaster recovery capabilities. Security & Compliance : Architect security best practices into the DevOps pipeline, including identity management, access control, and vulnerability scanning. Ensure DevOps processes adhere to regulatory and industry standards (e.g., GDPR, ISO) and maintain data integrity across environments. Continuous Improvement & Innovation : Lead evaluations of new tools, technologies, and processes, advocating for improvements in DevOps practices. Champion a culture of continuous learning, knowledge-sharing, and innovation, empowering teams to implement efficient DevOps solutions. Actively engage with technology communities to stay informed on the latest DevOps trends and innovations. Please share the profiles to "priyanga.govindharaj@aspiresys.com"

Key Responsibilities : - Lead Automation : Design and implement an automation framework to migrate workloads to Kubernetes platforms such as AWS EKS, Azure AKS, Google GKE, Oracle OKE, and OpenShift. - Develop Cloud-Native Automation Tools : Build automation tools using Go (Golang) for workload discovery, planning, and transformation into Kubernetes artifacts. - Migrate Kubernetes Across Cloud Providers : Plan and execute seamless migrations of Kubernetes workloads from one cloud provider to another (AWS - Azure, GCP - OCI, etc.) with minimal disruption. - Leverage Open-Source Technologies : Utilize Helm, Kustomize, ArgoCD, and other popular open-source frameworks to streamline cloud-native adoption. - CI/CD & DevOps Integration : Architect and implement CI/CD pipelines using Jenkins (including Jenkinsfile generation) and cloud-native tools like AWS CodePipeline, Azure DevOps, and GCP Cloud Build to support diverse Kubernetes deployments. - Security & Compliance : Define and enforce security best practices, implement zero-trust principles, and proactively address vulnerabilities in automation workflows. - Technical Leadership & Mentorship : Lead and mentor a team of developers, fostering expertise in Golang development, Kubernetes, and DevOps best practices. - Stakeholder Collaboration : Work closely with engineering, security, and cloud teams to align modernization and migration efforts with business goals and project timelines. - Performance & Scalability : Ensure high performance, scalability, and security across automation frameworks and multi-cloud Kubernetes deployments. - Continuous Innovation : Stay ahead of industry trends, integrating emerging tools and methodologies to enhance automation and Kubernetes portability. Qualifications & Experience : - Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience). - Experience : 8+ years in software development, DevOps, or cloud engineering, with 3+ years in a leadership role. - Programming Expertise : Strong proficiency in Go (Golang), Python for building automation frameworks and tools. - Kubernetes & Containers : Deep knowledge of Kubernetes (K8s), OpenShift, Docker, and container orchestration. - Cloud & DevOps : Hands-on experience with AWS, Azure, GCP, OCI, self-managed Kubernetes, OpenShift, and DevOps practices. - CI/CD & Infrastructure-as-Code : Strong background in CI/CD tools (Jenkins, Git, AWS CodePipeline, Azure DevOps, GCP Cloud Build) and Infrastructure-as-Code (IaC) with Terraform, Helm, or similar tools. - Kubernetes Migration Experience : Proven track record in migrating Kubernetes workloads between cloud providers, addressing networking, security, and data consistency challenges. - Security & Observability : Expertise in cloud-native security best practices, vulnerability remediation, and observability solutions. - Leadership & Communication : Proven ability to lead teams, manage projects, and collaborate with stakeholders across multiple domains. Preferred Skills & Certifications : - Experience in self-managed Kubernetes provisioning (e.g., kubeadm, Kubespray) and OpenShift customization (e.g., Operators). - Industry Certifications - CKA, CKAD, or cloud-specific credentials (e.g., AWS Certified DevOps Engineer). - Exposure to multi-cloud and hybrid cloud migration projects