64 Infrastructureascode Jobs - Page 3

About Zscaler Zscaler, a leading company serving numerous enterprise customers globally, including 45% of Fortune 500 companies, was established in 2007 with a core mission to ensure the cloud is a secure environment for conducting business and to enhance the experience for enterprise users. Operating the world's largest security cloud, Zscaler plays a pivotal role in accelerating digital transformation, enabling enterprises to become more agile, efficient, resilient, and secure. The innovative Zscaler Zero Trust Exchange platform, powered by AI, forms the foundation of our SASE and SSE offerings, safeguarding numerous enterprise customers from cyber threats and data breaches by securely connecting users, devices, and applications across any location. Recognized as a Best Workplace in Technology by esteemed platforms like Fortune, Zscaler nurtures an inclusive and supportive culture that attracts some of the most talented professionals in the industry. If you thrive in a fast-paced, collaborative environment and are dedicated to creating and innovating for the greater good, Zscaler welcomes you to take your next career step with us. Our Engineering team is responsible for developing and enhancing the world's largest cloud security platform, built entirely from scratch. With a repertoire of over 100 patents and ambitious plans to improve services and expand our global presence, our team has established Zscaler as the leader in cloud security today, serving over 15 million users across 185 countries. Join our team of cloud architects, software engineers, security experts, and more to contribute your vision and passion towards empowering organizations worldwide to embrace speed and agility through a cloud-first approach. We are currently seeking an experienced Principal Information Security Engineer to join our Cyber and Data Security team. Reporting to the Sr. Manager of Cyber Risk & Governance, your responsibilities will include: - Designing and managing runtime container security strategies, encompassing monitoring, threat detection, incident response, and vulnerability management for Docker and Kubernetes environments. - Implementing and optimizing security tools for runtime container protection, including image scanning, network micro-segmentation, and anomaly detection solutions. - Collaborating with engineering and DevOps teams to construct secure container architectures and enforce security best practices within CI/CD pipelines. - Investigating and resolving container-related security incidents, conducting root cause analysis, and implementing preventive measures. Minimum Qualifications: - Possess 8+ years of cybersecurity experience, with a specific focus on container security, along with at least 5 years of hands-on experience with Docker and Kubernetes. - Demonstrated expertise in Kubernetes security concepts, such as pod security policies, RBAC, and network policies. - Proficiency in container image scanning tools (e.g., Wiz, Trivy, Aqua Security, Crowdstrike Cloud Security, Prisma Cloud) and runtime protection solutions. - Strong understanding of container orchestration systems and securing CI/CD pipelines for containerized applications. - Proven ability to lead technical initiatives and collaborate effectively with cross-functional teams, including DevOps and SRE. Preferred Qualifications: - Hold certifications like CKA (Certified Kubernetes Administrator) or CKSS (Certified Kubernetes Security Specialist). - Experience in automating container security tasks using infrastructure-as-code tools like Terraform, Helm, or Ansible. Join Zscaler in our mission to create a diverse and inclusive team that mirrors the communities we serve and the customers we collaborate with. We value all backgrounds and perspectives, emphasizing collaboration and a sense of belonging. Be part of our journey to streamline and secure business operations. Zscaler offers a comprehensive Benefits program designed to support our employees at every stage of their lives and careers, which includes various health plans, time off for vacation and sick leave, parental leave options, retirement plans, education reimbursement, in-office perks, and more! By applying for a role at Zscaler, you agree to adhere to relevant laws, regulations, and company policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing reasonable support and accommodations during our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, sincere religious beliefs, neurodivergent individuals, or those requiring pregnancy-related support.,

You are a seasoned Confluent & Oracle EBS Cloud Engineer with over 10 years of experience, responsible for leading the design and implementation of scalable, cloud-native data solutions. Your role involves modernizing enterprise data infrastructure, driving real-time data streaming initiatives, and migrating legacy ERP systems to AWS-based platforms. Your key responsibilities include architecting and implementing cloud-based data platforms using AWS services such as Redshift, Glue, DMS, and Data Lake solutions. You will lead the migration of Oracle E-Business Suite or similar ERP systems to AWS while ensuring data integrity and performance. Additionally, you will design and drive the implementation of Confluent Kafka for real-time data streaming across enterprise systems. It is essential for you to define and enforce data architecture standards, governance policies, and best practices. Collaborating with engineering, data, and business teams to align architecture with strategic goals is also a crucial aspect of your role. Furthermore, you will optimize data pipelines and storage for scalability, reliability, and cost-efficiency. To excel in this role, you must possess 10+ years of experience in data architecture, cloud engineering, or enterprise systems design. Deep expertise in AWS services, including Redshift, Glue, DMS, and Data Lake architectures, is required. Proven experience with Confluent Kafka for real-time data streaming and event-driven architectures is essential. Hands-on experience in migrating large-scale ERP systems (e.g., Oracle EBS) to cloud platforms is a must. Strong understanding of data governance, security, and compliance in cloud environments, as well as proficiency in designing scalable, fault-tolerant data systems, are also necessary. Preferred qualifications include experience with data modeling, metadata management, and lineage tracking, familiarity with infrastructure-as-code and CI/CD practices, and strong communication and leadership skills to guide cross-functional teams.,

The role of DevOps Specialist at our organization requires a seasoned professional with over 8 years of experience in DevOps & Infrastructure practices, specifically focusing on AWS, Azure, and GCP cloud environments. As a DevOps Specialist, you will be responsible for orchestrating and managing Docker and Kubernetes environments to ensure scalable application deployment. Your key responsibilities will include designing and implementing microservices-based architecture, supporting and optimizing CI/CD pipeline architecture, and managing infrastructure using Infrastructure-as-Code tools like Terraform, Pulumi, or CloudFormation. Additionally, you will be expected to maintain version control practices using Git and related tools. In this role, you will also be required to build, monitor, and maintain Development, Staging, and Production environments, develop automation scripts using Python, Bash, or similar scripting languages, and implement and support CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline. Monitoring and logging tools such as Prometheus and Grafana will be utilized to ensure system performance and reliability. Incident response, root cause analysis, and preventive measures will also be part of your responsibilities as you collaborate with Agile teams and follow DevOps best practices to drive continuous improvement. The primary skills required for this role include strong hands-on experience with Docker and Kubernetes, proficiency in configuring Kubernetes resources using YAML or GitOps, a solid understanding of microservices architecture and SDLC, experience with Ansible for configuration management, proficiency in using Infrastructure-as-Code tools, and a working knowledge of Git and version control systems. Secondary skills that will be beneficial for this role include experience with CI/CD tools, strong scripting skills, familiarity with monitoring and alerting tools, experience managing multiple environments and deployment pipelines, excellent analytical and problem-solving skills, and familiarity with Agile and DevOps methodologies. To qualify for this position, you should hold a Bachelor's degree in computer science, information technology, or a related field. If you are looking to be part of a dynamic team and lead the development and implementation of robust DevOps & Infrastructure practices, this role could be the perfect fit for you.,

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices. This role is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively. Your leadership is crucial in driving the success of our machine learning initiatives. Your ability to guide and develop a team of engineers, while maintaining alignment with Ford's strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford's transformation into a data-driven enterprise. You should be a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions. While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure. You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices. Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment. You will be pivotal in delivering these solutions on time and within budget. Engineering Leadership & Management: - Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus. - Experience leading and mentoring engineering teams, fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals. - Proven ability to build and maintain high-performing teams, promoting accountability, ownership, and collaboration. Experience with performance management, including conducting performance reviews and providing constructive feedback. - Excellent communication and interpersonal skills, with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels. Agile & Scrum Practices: - Deep understanding and practical experience with Agile methodologies (Scrum, Kanban), including facilitating daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. - Experience working closely with Product Managers to align engineering efforts with product goals, ensure well-defined user stories, and manage priorities effectively. - Proven ability to ensure engineering rigor in story hygiene, including clear acceptance criteria, well-defined dependencies, and a focus on deliverability within the sprint. Technical Expertise & Accountability: - Deep understanding of platform engineering principles and experience designing, building, and maintaining scalable and reliable infrastructure for ML workloads. - Expertise in DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation. - Proficiency in at least one programming language (e.g., Python, Java) sufficient to effectively communicate with and guide your engineering team. You won't be expected to contribute to team capacity by coding, but you need to be able to speak the language of your engineers. - Strong understanding of cloud solutions and offerings (preferably GCP services - Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Vertex AI). Experience with other major cloud providers (AWS, Azure) is also valuable. - Experience with designing and implementing microservices and serverless architectures. Experience with containerization (Docker, Kubernetes) is highly beneficial. - Experience with monitoring and optimizing platform performance, ensuring systems are running efficiently and meeting SLAs. Proven ability to lead incident management efforts and implement continuous improvements to enhance reliability. - Commitment to best engineering practices, including code reviews, testing, and documentation. A focus on building maintainable and scalable systems is essential. Operational Excellence & Cost Optimization: - Proven ability to drive cost optimization initiatives, particularly in cloud infrastructure and resource usage, aligning with Ford's broader cost-reduction goals. - Experience tracking and reporting key metrics for your domain/platform related to team performance, including quality and operational efficiency.,

The role of Data Lead at LERA Technologies involves owning the data strategy, architecture, and engineering roadmap for key client engagements. As a Data Lead, you will lead the design and development of scalable, secure, and high-performance data pipelines, marts, and warehouses. Additionally, you will mentor a team of data engineers and collaborate with BI/reporting teams and solution architects. Your responsibilities will include overseeing data ingestion, transformation, consolidation, and validation across cloud and hybrid environments. It is essential to champion best practices for data quality, data lineage, and metadata management. You will also be expected to evaluate emerging tools, technologies, and frameworks to enhance platform capabilities and engage with business and technical stakeholders to translate analytics needs into scalable data solutions. Monitoring performance and optimizing storage and processing layers for efficiency and scalability are key aspects of this role. The ideal candidate for this position should have at least 7 years of experience in Data Engineering, including proficiency in SQL/PLSQL/TSQL, ETL development, and data pipeline architecture. A strong command of ETL tools such as SSIS or equivalent and Data Warehousing concepts is required. Expertise in data modeling, architecture, and integration frameworks is essential, along with experience leading data teams and managing end-to-end data delivery across projects. Hands-on knowledge of BI tools like Power BI, Tableau, SAP BO, or OBIEE and their backend integration is a must. Proficiency in big data technologies and cloud platforms such as Azure, AWS, or GCP is also necessary. Programming experience in Python, Java, or equivalent languages, as well as proven experience in performance tuning and optimization of large datasets, are important qualifications. A strong understanding of data governance, data security, and compliance best practices is required, along with excellent communication, stakeholder management, and team mentoring abilities. Desirable skills for this role include leadership experience in building and managing high-performing data teams, exposure to data mesh, data lake house architectures, or modern data platforms, experience defining and enforcing data quality and lifecycle management practices, and familiarity with CI/CD for data pipelines and infrastructure-as-code. At LERA Technologies, you will have the opportunity to embrace innovation, creativity, and experimentation while significantly impacting our clients" success across various industries. You will thrive in a workplace that values diversity and inclusive excellence, benefit from extensive opportunities for career advancement, and lead cutting-edge projects with an agile and visionary team. If you are ready to lead data-driven transformation and shape the future of enterprise data, apply now to join LERA Technologies as a Data Lead.,

You are a highly skilled Senior Manager responsible for leading technical project management efforts in the Supply Chain Management (SCM) domain. Your role involves overseeing end-to-end project lifecycles, ensuring timely delivery, and fostering collaboration across technical and functional teams. You will need extensive experience in project planning, resource allocation, and delivery management, with a strong background in Java or DevOps technologies. Your responsibilities will include leading and managing technical projects within the SCM domain, overseeing the entire software development lifecycle (SDLC), developing and implementing project plans, collaborating with cross-functional teams, driving DevOps initiatives, identifying project risks, and mentoring development teams. You will also be required to communicate project progress, challenges, and resolutions to stakeholders and senior management. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field, along with 10+ years of experience in IT project management focusing on Java or DevOps technologies. A proven track record of managing large-scale projects in the SCM domain, a strong understanding of supply chain processes and ERP/SCM systems, expertise in DevOps tools and Java-based frameworks, as well as excellent leadership, communication, and problem-solving skills are essential. Possession of certifications such as PMP or SAFe Agile would be advantageous. This is a full-time position based in Bangalore, India. If you meet the qualifications and are excited about this opportunity, please email your resume to engage@itorizon.com.,

As the Vice President of DevOps & SRE, you will hold a senior leadership position with the primary responsibility of driving platform reliability, secure operations, and DevOps excellence throughout the enterprise. Your role will involve integrating site reliability engineering practices with scalable DevOps automation and maintaining a robust cybersecurity posture. Leading high-performing teams, defining technology strategy, managing infrastructure, and safeguarding systems and data to support business growth and digital innovation will be key aspects of your role. You will be expected to lead enterprise-wide DevOps adoption and continuous delivery transformation, implementing and optimizing CI/CD pipelines, infrastructure-as-code (IaC), and cloud-native architectures. Championing automation in deployment, monitoring, and infrastructure provisioning will be essential, along with experience in containerization (Kubernetes, Docker), service mesh, and serverless environments. Facilitating collaboration between development, operations, and QA for rapid and reliable releases will also be a critical part of your responsibilities. Establishing and leading the Site Reliability Engineering (SRE) function to ensure system reliability, scalability, and performance will be another key aspect of your role. You will define and monitor SLAs, SLOs, and SLIs for critical applications and services, drive incident management, root cause analysis, and foster a postmortem culture. Developing and deploying observability strategies using tools like Prometheus, Grafana, Zabbix, or enterprise tools such as New Relic, Dynatrace, or Splunk will also be within your purview. In terms of leadership and strategic alignment, you will build and mentor cross-functional teams across DevOps and SRE, partnering with engineering, product, and business leaders to align technical initiatives with organizational goals. Managing departmental budgets, tools, and vendor relationships, as well as reporting on KPIs, operational health, security posture, and risk to the executive leadership team will also be part of your responsibilities. To qualify for this role, you must hold a Bachelors or Masters in Computer Science, Engineering, or a related field, along with at least 15+ years of experience in IT/engineering, including a minimum of 5+ years in leadership roles. Proven expertise in implementing DevOps, SRE, and security practices at scale, as well as hands-on experience with AWS, Azure, or GCP, CI/CD tools, and SRE observability platforms, are essential requirements for this position.,

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices. This role is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively. Your leadership is crucial in driving the success of our machine learning initiatives. Your ability to guide and develop a team of engineers, while maintaining alignment with Ford's strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford's transformation into a data-driven enterprise. You should be a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions. While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure. You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices. Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment. You will be pivotal in delivering these solutions on time and within budget. **ML Enablement Engineering** **Engineering Leadership & Management:** - Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus. - Experience leading and mentoring engineering teams, fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals. - Proven ability to build and maintain high-performing teams, promoting accountability, ownership, and collaboration. Experience with performance management, including conducting performance reviews and providing constructive feedback. - Excellent communication and interpersonal skills, with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels. **Agile & Scrum Practices:** - Deep understanding and practical experience with Agile methodologies (Scrum, Kanban), including facilitating daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. - Experience working closely with Product Managers to align engineering efforts with product goals, ensure well-defined user stories, and manage priorities effectively. - Proven ability to ensure engineering rigor in story hygiene, including clear acceptance criteria, well-defined dependencies, and a focus on deliverability within the sprint. **Technical Expertise & Accountability:** - Deep understanding of platform engineering principles and experience designing, building, and maintaining scalable and reliable infrastructure for ML workloads. - Expertise in DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation. - Proficiency in at least one programming language (e.g., Python, Java) sufficient to effectively communicate with and guide your engineering team. You won't be expected to contribute to team capacity by coding, but you need to be able to speak the language of your engineers. - Strong understanding of cloud solutions and offerings (preferably GCP services Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Vertex AI). Experience with other major cloud providers (AWS, Azure) is also valuable. - Experience with designing and implementing microservices and serverless architectures. Experience with containerization (Docker, Kubernetes) is highly beneficial. - Experience with monitoring and optimizing platform performance, ensuring systems are running efficiently and meeting SLAs. Proven ability to lead incident management efforts and implement continuous improvements to enhance reliability. - Commitment to best engineering practices, including code reviews, testing, and documentation. A focus on building maintainable and scalable systems is essential. **Operational Excellence & Cost Optimization:** - Proven ability to drive cost optimization initiatives, particularly in cloud infrastructure and resource usage, aligning with Ford's broader cost-reduction goals. - Experience tracking and reporting key metrics for your domain/platform related to team performance, including quality and operational efficiency.,

As a Cloud Architect in the Information Technology department, your primary responsibility will be to design, implement, and oversee the cloud computing strategy of our organization. You will collaborate closely with various teams to ensure that our cloud solutions align with our business objectives and adhere to industry standards and regulations. Your key responsibilities will include: - Designing and implementing cloud architecture solutions for various types of workloads, ensuring scalability, security, and performance. - Developing a comprehensive cloud strategy encompassing adoption plans, cloud management, and monitoring. - Leading the migration of workloads from on-premises to the cloud, while determining the deployment architecture and cloud services to be utilized. - Overseeing the deployment of cloud solutions, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). - Ensuring compliance with cloud security standards, data protection, identity management, and regulatory requirements. - Continuously monitoring and optimizing cloud infrastructure to enhance performance, reduce costs, and improve efficiency. - Collaborating with cross-functional teams such as IT, security, and development to seamlessly integrate cloud solutions. - Maintaining detailed documentation of cloud architecture, processes, procedures, best practices, and guidelines. - Evaluating and managing relationships with cloud service providers and third-party vendors. - Providing support and troubleshooting for cloud-related issues and incidents. In terms of technical skill set, you should possess: - Proven experience as a Cloud Architect in a financial institution or highly regulated industry. - In-depth knowledge of AWS cloud computing technologies, with additional familiarity with Azure and Google Cloud platforms being advantageous. - Strong understanding of cloud security principles and best practices. - Experience with cloud automation tools and infrastructure-as-code (IaC) frameworks. - Familiarity with compliance standards such as PCI-DSS and other financial regulations. - Excellent problem-solving skills and the ability to troubleshoot complex cloud issues. - Strong communication skills to effectively convey technical concepts to non-technical stakeholders. - Relevant certifications, such as AWS Certified Solutions Architect, would be highly desirable. Regarding educational qualifications, you should have completed: - Graduation: Bachelor of Science (B.Sc), Bachelor of Technology (B.Tech), or Bachelor of Computer Applications (BCA). - Post-Graduation: Master of Science (M.Sc), Master of Technology (M.Tech), or Master of Computer Applications (MCA).,

You are an experienced Solution Architect with a solid background in software architecture and a good understanding of AI-based products and platforms. Your main responsibility will be to design robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. In this role, you will collaborate closely with cross-functional teams, including data scientists, product managers, and engineering leads, to ensure the alignment of business needs, technical feasibility, and AI capabilities. Your key responsibilities will include architecting end-to-end solutions for enterprise and product-driven platforms, such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. You will guide teams in selecting appropriate technologies, tools, and design patterns for building scalable systems. Additionally, you will work with AI/ML teams to understand model requirements and facilitate their smooth deployment and integration into production environments. In this role, you will define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Furthermore, you will collaborate with stakeholders to translate business requirements into technical solutions, emphasizing scalability, performance, and security. Your leadership will be crucial in promoting best practices for software development, DevOps, and cloud-native architecture. You will also conduct architecture reviews to ensure compliance with security, performance, and regulatory standards. To be successful in this role, you should have at least 10 years of experience in software architecture or solution design roles. You should demonstrate expertise in designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies. Hands-on experience with major cloud providers like AWS, GCP, or Azure is essential. Familiarity with AI/ML platforms and components, data architectures, containerization, DevOps principles, and the ability to lead technical discussions are also required skills. Preferred qualifications include exposure to AI model lifecycle management, infrastructure-as-code tools like Terraform or Pulumi, knowledge of GraphQL, gRPC, or serverless architectures, and previous experience in AI-driven product companies or digital transformation programs. In return, you will have the opportunity to play a high-impact role in designing intelligent systems that drive the future of AI adoption. You will work alongside forward-thinking engineers, researchers, and innovators, with a strong focus on career growth, learning, and technical leadership. The compensation offered is competitive and reflective of the value you bring to the role.,

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you'll work with and learn from some of the best and brightest in business. Before you know it, you'll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world's leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Sr Director of Cloud Operations at Perforce is searching for a Sr. SecOps Engineer to design and optimize the security operations for Perforce's SaaS product portfolio. In this key role, you will drive the design and implementation of automated tools and technologies to ensure the security, reliability, and high availability of our production and CI/CD environments, applications, and infrastructure. You will lead the efforts to establish SecOps best practices across the organization, ensuring that all environments adhere to the highest security standards. Responsibilities: - Develop and implement vulnerability management practices using tools such as Qualys, Lacework, Prisma, and Mend (SAST and SCA). - Experience in managing operations/cadence in Vulnerability management, SIEM, and CSPM. - Lead efforts to ensure security incident and event management (SIEM) from code repositories to operating systems, VMs, databases, networks, and applications. - Automate security processes and workflows across CI/CD pipelines, leveraging infrastructure-as-code (IaC) and security automation tools to eliminate manual work and improve efficiency. - Automate the detection and mitigation of security threats by integrating SIEM tools with incident response workflows. - Drive the implementation of security hardening best practices across the infrastructure, including OS, network, application, and database layers. - Implement and maintain secret scanning tools across CI/CD pipelines to detect and mitigate the exposure of sensitive data. - Advocate and implement security best practices in agile SDLC methodologies and DevSecOps workflows. - Collaborate closely with Developer and DevOps teams to ensure security is embedded at every stage of the development and deployment processes. - Lead and maintain security sprint boards, monitor tasks, and manage risks via Jira and other collaboration tools. - Schedule and run monthly SecOps cadence meetings to report on the organization's security posture, discuss ongoing projects, and address security incidents and mitigations. - Prepare and present comprehensive documentation and reports on security incidents, vulnerability assessments, and audit findings to technical and non-technical stakeholders. - Assist with incident response planning, including the triage, investigation, and remediation of security incidents. - Stay updated on the latest security threats, tools, and methodologies, and continuously improve the security frameworks and policies of Perforce. Requirements: - Bachelor's or master's degree in computer science, Information Security, Engineering, or a related field. - 7+ years of experience in cybersecurity, security operations, or a similar role in a SaaS/cloud environment. - Strong hands-on experience with security automation tools and practices for CI/CD pipeline integration and infrastructure-as-code (IaC). - Hands-on experience with vulnerability management tools such as Qualys, Prisma, Lacework, and Mend (SAST/SCA). - Development/Automation experience to automate the workflows, security operations/tooling by using Python/Ruby/Go. - Proficient in automating vulnerability scanning, patch management, and compliance monitoring processes across hybrid cloud environments. - Strong understanding of Cloud Security Posture Management (CSPM) tools and processes. - Experience with SIEM tools and security monitoring best practices. - Proficient with secret management and scanning in CI/CD environments. - Familiarity with hardening techniques across various platforms (Linux, Windows, network, databases, etc.). - Proficient in driving security sprint boards using Jira or other task management tools. - Excellent presentation and communication skills, with experience in running security meetings and cadence discussions. - Strong documentation skills to ensure security processes and incidents are thoroughly recorded. - Knowledge of infrastructure-as-code frameworks such as Terraform, Ansible, or similar, with experience automating security configurations a plus. - Strong problem-solving skills and the ability to work under pressure in a fast-paced environment. - Continuous desire to learn and stay updated on the latest in cybersecurity practices and threats. If you are passionate about the technology that impacts our day-to-day lives and want to work with talented and dedicated people across the globe, apply today!,

As a Senior Consultant at Dell Technologies in Bangalore, you will play a crucial role in helping organizations navigate their digital transformation journey. Your responsibilities will include providing technical guidance and solutions for complex engagements, collaborating with global teams to deliver innovative strategies, and deploying digital transformation software stacks. You will be a key member of the Services Delivery team, working alongside other experienced consultants to earn customer trust through your technical expertise and consulting skills. Your role will involve supporting customers in architecting Cloud-Native Apps, driving digital transformation within organizations, and implementing DevSecOps practices to enhance development processes. Additionally, you will evaluate new technology options, onboard automation solutions, and support Sales and Pre-Sales teams in solutioning for customers. Your extensive experience in various technical areas such as DevOps, Cloud Computing, AI & ML, and Data Science will be leveraged to lead large-scale digital transformation projects and guide technical teams effectively. To excel in this role, you should have at least 10 years of experience in the IT industry, with a background in computer science or engineering. Business consulting certifications and proven expertise in areas like Cloud Technologies, DevOps Engineering, and Application Modernization are essential. Experience with automation tools like Ansible, Terraform, and Kubernetes will be highly beneficial. If you are passionate about driving innovation, collaborating with diverse teams, and making a meaningful impact in the technology industry, this role at Dell Technologies could be the perfect opportunity for you. Join us in shaping a future where progress takes all of us. Application closing date: 18-Dec-2024 Dell Technologies is committed to promoting equal employment opportunities and creating a work environment free of discrimination and harassment. For more details, please refer to the full Equal Employment Opportunity Policy.,

Ciklum is seeking an Expert DevOps Engineer to join our team full-time in India. We are a custom product engineering company dedicated to assisting multinational organizations and scaling startups in overcoming their most intricate business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts, and product owners, we are committed to engineering technology that revolutionizes industries and shapes the future. As an Expert DevOps Engineer, you will play a crucial role in a cross-functional development team that focuses on creating the experiences of tomorrow. Your responsibilities will include providing technical leadership for the DevOps team, establishing best practices across various cloud environments such as AWS, GCP, and Azure. You will collaborate with engineering and product teams to define cloud infrastructure strategies aligned with business goals, design and implement secure, scalable, and highly available multi-cloud architectures, lead and mentor a high-performing DevOps team, drive automation of infrastructure, CI/CD pipelines, and security processes, and continuously enhance DevOps processes for improved efficiency and agility across the software delivery lifecycle. Additionally, you will maintain expertise in cloud services, infrastructure-as-code tools, and DevOps methodologies, effectively communicate technical concepts to stakeholders, and proactively address technical debt to ensure long-term maintainability and scalability of multi-cloud infrastructure. To be considered for this role, you should possess a Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent work experience with a proven track record of success. You should have at least 7 years of experience in a DevOps engineering role with significant leadership experience, along with certifications in AWS, GCP, and/or Azure (Professional Level). Strong communication, collaboration, problem-solving skills, and strategic business acumen are essential for this position. Desirable skills include expertise in multiple cloud platforms, proficiency with Terraform or other infrastructure-as-code tools, strong scripting skills, programming proficiency, deep understanding of cloud security best practices, and excellent leadership and communication abilities. Personal attributes such as self-motivation, self-discipline, strong communication, problem-solving skills, good team player mentality, analytical skills, and attention to detail are highly valued. At Ciklum, we prioritize your mental and physical health by providing comprehensive company-paid medical insurance, financial and legal consultation. You will have access to a tailored education path, growth opportunities, flexibility in work mode, and the chance to work on large-scale projects with global impact. Join us in creating the experiences of tomorrow and be a part of our growth story in India. If you are ready to innovate and collaborate with like-minded professionals in a global company with a local spirit, then we invite you to submit your application and join us at Ciklum. Let's engineer the experiences of tomorrow together!,

You will be working for Everest DX, a Digital Platform Services company headquartered in Stamford. The company's platform/solution includes Orchestration, Intelligent operations with BOTs, and AI-powered analytics for Enterprise IT. The vision of Everest DX is to enable Digital Transformation for enterprises, delivering seamless customer experience, business efficiency, and actionable insights through an integrated set of futuristic digital technologies. Specializing in Digital Transformation Services, you will be responsible for designing, building, developing, integrating, and managing cloud solutions. This includes modernizing data centers, building Cloud-native applications, and migrating existing applications into secure, multi-cloud environments to support digital transformation. The Digital Platform Services offered by Everest DX enable organizations to reduce IT resource requirements, improve productivity, lower costs, and accelerate digital transformation. You will be working with the Cloud Intelligent Management (CiM) platform, an Autonomous Hybrid Cloud Management Platform that operates across multi-cloud environments. This platform helps enterprises achieve the most out of their cloud strategy while reducing costs, risks, and enhancing speed. For more information about Everest DX, you can visit their official website at https://www.everestdx.com. The ideal candidate should have at least 10+ years of overall experience and possess the ability to design and implement scalable, secure, and reliable Azure cloud solutions. You will be responsible for implementing automation, CI/CD pipelines, and infrastructure-as-code, providing technical leadership and Azure best practices guidance, integrating Azure services with existing systems and applications, designing cost-efficient infrastructure, optimizing resource usage, ensuring compliance with security and regulatory requirements, collaborating with stakeholders to align solutions with business objectives, and supporting digital transformation and cloud migration initiatives. The job is a Fulltime position based in Hyderabad, Telangana, with the requirement of immediate or 15 days" notice period. The educational requirement includes a Bachelor's Degree or equivalent work experience. As an equal opportunity employer, EverestDX is dedicated to diversity and inclusion in every aspect of the workplace.,