Senior Cloud Platform Engineer at Smarsh, focusing on architecting and building hybrid cloud platforms. Contribute to risk management and compliance in digital communications.
About the role
- Design and implement secure, scalable, and high-performance AWS cloud environments to support diverse workloads.
- Develop automation-first solutions for cloud data services provisioning, integrating IAM, networking, security policies as code, and observability from the ground up.
- Collaborate with developers and internal stakeholders to deliver automated, cloud-native, and AI-ready solutions.
- Implement fully automated, resilient, and observable infrastructure with FinOps best practices to enable cloud IaaS and PaaS services.
- Architect BYOC and BYOK solutions ensure compliance with security and governance policies.
- Develop cloud-native and hybrid architectures for Big Data applications, Snowflake, Hadoop, Kafka, and Solr.
- Ensure the integration of security analytics to monitor and protect cloud infrastructure.
- Implement IaC using Terraform, CloudFormation, and AWS CDK for provisioning cloud resources.
- Automate cloud infrastructure deployment and configuration to ensure consistency and scalability.
- Develop CI/CD pipelines for cloud infrastructure using tools like Jenkins, GitHub Actions, and AWS CodePipeline.
- Design and deploy containerized workloads using Amazon EKS and best practices for microservices architecture.
- Optimize Kubernetes workloads, including security policies, networking, and auto-scaling.
- Implement Kubernetes observability using Prometheus, Grafana, and AWS CloudWatch.
- Architect and enforce security best practices for data protection, IAM policies, encryption (BYOK), and network security.
- Implement zero-trust security and compliance frameworks (SOC2, ISO 27001, HIPAA, GDPR).
- Leverage AWS security services (GuardDuty, Security Hub, WAF, IAM, AWS KMS) to enhance security postures.
- Design security monitoring and analytics solutions for threat detection and incident response.
- Design and optimize AWS infrastructure for Hadoop, Snowflake, and Big Data workloads.
- Architect scalable Kafka and Solr clusters for real-time data processing and search indexing.
- Implement data lake and warehouse strategies integrating Snowflake.
- Optimize AWS resources for cost-efficiency using AWS Cost Explorer, Savings Plans, and auto-scaling.
- Implement logging, monitoring, and alerting strategies with CloudWatch, Datadog, and ELK stack, loki and fluentbit.
- Conduct capacity planning and infrastructure rightsizing for performance tuning.
- Work closely with security, data, DevOps, and development teams to align cloud strategy with business needs.
- Provide architectural guidance, documentation, and mentorship to teams.
- Evaluate and recommend emerging AWS technologies to enhance cloud capabilities.
- Lead initiatives to enhance infrastructure reliability, scalability, and performance.
- Maintain detailed documentation for automation workflows, system changes, and platform configurations.
Requirements
- Minimum 10+ years of relevant working experience.
- Experience in Aws services, cloud-native security, monitoring and logging tools, and Well-Architected Data Framework principals
- Experience with various CI/CD methodologies, container orchestration tools, and observability and performance monitoring technologies.
- Experience working in Linux environments.
- Expertise in designing secure, scalable architectures for BYOC, BYOK, Snowflake, Big Data, and Kubernetes.
- Strong knowledge of AWS networking, IAM, security frameworks, encryption (BYOK), and compliance standards.
- Deep understanding of Kafka, Solr, Hadoop, and security analytics platforms.
- Strong scripting and automation skills using Python, Bash, ANSIBLE.
- Experience in cloud cost management and FinOps.
- Experience with Infrastructure as Code tools, preferably Terraform as mandatory.
- Expertise in end-to-end applications hosted on Kubernetes, emphasizing scalability, high availability, and fault tolerance.
- Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.
- Experience in Cloud logging, monitoring, and observability tools Cloud provisioning and configuration technologies (Terraform, Ansible, Puppet, Packer, AWS CloudFormation).
- Strong understanding of AWS billing and ability to provide cost-optimal architectural designs.
- Strong communication skills with the ability to communicate and explain the design/deployment strategy to both technical & non-technical audiences.
- Good working knowledge of processes and procedures (like ITIL).
- Strong analytical, problem-solving, and organizational skills.
- Excellent collaboration skills and ability to work in a global team.
- Minimum of a 4-year degree in Computer Science or a related discipline.
- Preferred: AWS Certified Solutions Architect – Professional or AWS Security Specialty.
- Experience with AI-driven security analytics and AWS-native threat detection tools.
- Hands-on experience with Apache Spark, EMR, and AI/ML workloads on AWS.
Benefits
- Health Insurance with a total sum insured is INR 7,50,000 Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law
- Personal Accident with total sum insured is INR 10,00,000
- Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered.
Job title
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HS
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