Staff Platform Engineer responsible for designing and deploying AWS Infrastructure. Join Securonix to innovate in cybersecurity with AI capabilities and cloud solutions.
Responsibilities
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).
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 principles
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.
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