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Senior Platform Engineer

5-7 Years
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Job Description

Job Summary:

The Senior Platform Engineer will design, deploy, and automate AWS infrastructure based on customer requirements to deliver analytical solutions. The role involves close collaboration with Managers, Clients, and Managed Services teams, focusing on cloud-native, automated, and AI-ready infrastructure solutions.

Key Responsibilities:

  • Develop automation-first solutions for cloud data services provisioning, integrating IAM, networking, security policies as code, and observability.
  • 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.
  • Build and maintain Infrastructure as Code (IaC) and CI/CD pipelines for cloud platforms, data pipelines, and infrastructure components.
  • Enable AI-driven workflows for monitoring, optimization, and predictive maintenance.
  • Validate solutions in POC environments before production deployment.
  • Deploy and manage AWS services such as EC2, S3, RDS, VPC, DMS, Redis, EMR, and EKS.
  • Design and deploy multi-tier, auto-scaling, high-availability architectures adhering to business continuity standards.
  • Estimate AWS usage costs and implement operational cost-control measures.
  • Manage cloud network administration, security, provisioning, optimization, and third-party software support.
  • Implement cloud security best practices and assess partner compatibility.
  • Continuously monitor and optimize servers, networks, and infrastructure for performance and security.
  • Troubleshoot and resolve infrastructure incidents with automation where possible.
  • Conduct routine health checks and leverage automation for proactive issue detection.
  • Participate in 24x7 on-call rotation to respond promptly to incidents.
  • Lead initiatives to enhance infrastructure reliability, scalability, and performance.
  • Maintain detailed documentation for automation workflows, system changes, and platform configurations.

Qualifications & Required Skills:

  • Strong expertise in automation using IaC tools (Terraform preferred), CI/CD methodologies, and scripting (Python, Bash).
  • Experience with AI workflow integration in infrastructure automation is a plus.
  • Proficiency in AWS services, cloud-native security, monitoring, and logging tools; knowledge of Well-Architected Framework principles.
  • Solid understanding of the Hadoop ecosystem (HDFS, YARN, HBase, Kafka, Solr) and performance tuning.
  • Experience with Kubernetes and container orchestration.
  • Experience designing, deploying, and securing high-availability cloud solutions with cost optimization.
  • Knowledge of cloud networking (subnets, routing, load balancing, firewalls, VPC, IAM, NACLs).
  • Experience with cloud logging, monitoring, and observability tools.
  • Strong communication skills to present automation strategies to technical and non-technical audiences.
  • Good knowledge of ITIL processes and best practices.
  • Bachelor's degree in Computer Science or related discipline.

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

About Company

Securonix is transforming how security operations are delivered, measured, and scaled. Our Unified Defense SIEM combines SIEM, UEBA, SOAR, TIP, and TDIR in a single cloud-native platform that helps security teams detect threats faster, investigate with context, and respond with precision. No more silos. No more guesswork.

We do more than unify the SOC. We improve its economics. With outcome-based pricing, modular automation, and full control over data pipelines, customers reduce storage and compute costs by up to 50 percent. Analyst efficiency improves by 50 percent, and response times are reduced by as much as 60 percent.

At the core is Agentic AI, a modular set of intelligent agents that automate triage, threat hunting, investigation, and response. These agents deliver explainable, policy-aligned decisions that reduce manual workload and accelerate action.

Built natively on Snowflake and AWS, Securonix provides elastic performance and long-term scalability. Our Data Pipeline Manager gives security teams complete control over how telemetry is collected, routed, and stored, optimizing cost while preserving visibility and compliance.

Securonix is proud to be recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for SIEM for the fifth consecutive year, and as a Gartner Peer Insights™ Customers’ Choice. Global enterprises trust us to modernize their SOC, reduce risk, and deliver outcomes that matter.

Modular by design and open by architecture, Securonix gives teams the flexibility to start with what matters most and scale as they grow.

Job ID: 129495693

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