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Platform Engineer (Cybersecurity Platform)
Platform Engineer (Cybersecurity Platform)

Platform Engineer (Cybersecurity Platform) at Securite Technology · Bengaluru (Bangalore) · 4 - 10 years · ₹20L - ₹40L / yr · Raised funding · Posted 13 Oct 2026

Securite Technology's logo

Platform Engineer (Cybersecurity Platform)

Vijay Rohom's profile picture
Posted by Vijay Rohom
4 - 10 yrs
₹20L - ₹40L / yr
Bengaluru (Bangalore)
Skills
Linux/Unix
skill iconAmazon Web Services (AWS)
Terraform
Ansible
Observability

About the Team

SecurITe’s mission is to build an Agentic-AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for an exceptional Platform Engineer to help lead the development of our next-generation cybersecurity AI platform. This is a rare opportunity to shape how agentic AI transforms the future of cyber defense.

As a Platform Engineer, you will design, build, and operate the foundational infrastructure, deployment systems, and developer platforms that power our cybersecurity products across cloud and on-premise environments. You will work at the intersection of infrastructure engineering, cloud-native technologies, automation, reliability, and security to enable scalable and resilient product delivery.

You’ll collaborate closely with AI/ML, backend, security, QA, and product engineering teams to create self-service platforms, deployment pipelines, observability systems, and operational tooling that accelerate innovation while maintaining enterprise-grade reliability and security.

This role is ideal for Linux platform engineers and system specialists who excel at solving complex system challenges, automating wherever possible, and building resilient platforms that enable teams to move faster with confidence.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Platform Engineer, you will architect and build the infrastructure, automation, deployment, and operational systems that make this transformation real.

Your work will directly influence the scalability, reliability, and security of our AI-driven cybersecurity platform across both cloud and enterprise on-premise deployments. You’ll help establish the operational backbone that enables rapid innovation, secure product delivery, and resilient large-scale deployments in mission-critical environments.

This is a chance to solve novel technical challenges involving distributed systems, hybrid infrastructure, observability, automation, and secure software delivery while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design, build, and own AWS infrastructure from the ground up (VPC architecture, EC2 fleet management, IAM, networking, security groups)

●    Administer and harden AlmaLinux VMs across production, staging, and dev environments

●    Build automation for provisioning, patching, and configuration management (infrastructure-as-code, config management tooling)

●    Design and implement observability: monitoring, logging, alerting, and on-call-worthy SLAs from scratch

●    Lead incident response — diagnosis, RCA, and post-incident documentation — with no dedicated ops team to escalate to

●    Make and document build-vs-buy and architecture decisions as the product and team scale

●    Work directly with founders/engineering to translate ambiguous asks into scoped technical plans

Impact You’ll Have

●    Accelerate engineering velocity through scalable developer platforms and automation

●    Improve deployment reliability, platform uptime, and operational efficiency

●    Enable secure and scalable AI-driven cybersecurity workloads

●    Reduce operational overhead through infrastructure automation and self-service systems

●    Help establish enterprise-grade cloud and on-premise deployment capabilities

●    Enhance product resiliency, observability, and operational excellence

●    Shape the long-term platform architecture powering next-generation cybersecurity products

●    Enable rapid and secure delivery of critical security innovations to customers

Required Experience

●    4+ years hands-on Linux administration (RHEL-family strongly preferred — AlmaLinux, CentOS, RHEL)

●    Deep Linux internals: systemd, networking, storage/LVM, process/resource management, kernel-level troubleshooting

●    Real AWS architecture experience — not just operating existing infra, but designing it (VPC, EC2, IAM, security groups, networking)

●    Demonstrated ability to scope and solve ambiguous problems independently, without a runbook or senior engineer to defer to

●    Scripting/automation proficiency (Python and/or Bash) beyond one-off scripts — built tooling that runs unattended

●    Track record of end-to-end ownership: has designed, built, and operated a system (not just contributed to one)

●    Clear, proactive communicator — documents decisions and explains reasoning without being asked

Required Skills & Qualifications

●    Strong Linux system administration and troubleshooting skills

●    Redhat certifications

●    Strong understanding of networking fundamentals, security, and distributed systems

●    Proficiency with Docker, and container orchestration

●    Experience with Terraform, Ansible, or similar infrastructure automation tools

●    Strong scripting or programming skills in Python, Bash, or Go

●    Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry

●    Understanding of platform security best practices and secure infrastructure design

●    Familiarity with virtualization technologies and hybrid infrastructure environments

●    Strong problem-solving and debugging abilities

●    Excellent communication and collaboration skills

●    Ability to thrive in fast-paced startup environments

Nice to Have

●    Configuration management/automation at scale (Ansible, AWX, Terraform, or similar)

●    Monitoring/observability stack experience (Prometheus, Grafana, Zabbix, ELK, Datadog)

●    Container experience (Docker; Kubernetes a plus but not core to this VM-based stack)

●    Experience in a startup or small-team environment where infra was built from scratch

●    Security/compliance exposure (vulnerability remediation, hardening, SSO/access control)

The Mindset

Problem Solver

You thrive on complex, ambiguous challenges and engineer elegant solutions.

Ownership-Driven

You take initiative, move fast, and deliver outcomes without hand-holding.

Continuous Learner

You stay ahead of the curve in AI, ML, cloud-native technologies, and emerging infrastructure trends.

Startup DNA

You excel in fast-moving environments where priorities evolve and impact is immediate.

 

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About Securite Technology

Founded :
2024
Type :
Product
Size :
20-100
Stage :
Raised funding

About

We are SecurITe, a cybersecurity company focused on protecting the healthcare sector from evolving digital threats. We combine AI-powered technology, cybersecurity expertise, and healthcare-specific solutions to help organizations detect, prevent, and respond to security risks while keeping sensitive data and critical systems protected.


We are part of the x-tention Group and operate with a global, remote-first mindset. Our goal is to make cybersecurity more proactive and intelligent by building solutions that can continuously identify threats and strengthen security across complex healthcare environments. With our focus on AI-driven security and healthcare, we are building technology for a safer and more resilient digital healthcare ecosystem.

Read more

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  • Experience in performance optimization, reliability, and cloud cost management (FinOps).
  • Strong scripting and automation skills.
  • Experience integrating enterprise applications through APIs and secure connectivity patterns.


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MNC
MNC
Agency job
via VY SYSTEMS PRIVATE LIMITED by aafia parveen
Bengaluru (Bangalore)
10 - 16 yrs
₹2L - ₹22L / yr
skill iconAmazon Web Services (AWS)
AWS Lambda
AWS CloudFormation
AWS IAM
Amazon EC2
+3 more

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

  • Review, validate, and optimize existing Terraform code and AWS infrastructure.
  • Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
  • Design, build, and support secure, scalable, and highly available AWS environments.
  • Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
  • Lead infrastructure testing, performance tuning, and production readiness activities.
  • Drive deployment and operationalization of the platform in the Production environment.
  • Implement cloud governance, security, monitoring, and FinOps best practices.
  • Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

  • 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
  • Proven experience designing, deploying, and managing AWS production environments.
  • Strong hands-on experience with Terraform and Infrastructure-as-Code.
  • Experience with CI/CD pipeline automation and DevOps practices.
  • Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
  • Experience in performance optimization, reliability, and cloud cost management (FinOps).
  • Strong scripting and automation skills.
  • Experience integrating enterprise applications through APIs and secure connectivity patterns.

Preferred Skills

  • Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
  • AWS Certifications (Associate/Professional).
  • Banking or Financial Services domain experience.


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NeoGenCode Technologies Pvt Ltd
Gurugram
5 - 8 yrs
₹8L - ₹16L / yr
DevOps
skill iconAmazon Web Services (AWS)
Amazon EC2
Amazon EKS
ECS
+24 more

Job Title : Senior AWS DevSecOps & AI Platform Engineer

Experience Required : 5+ Years in AWS / Cloud Engineering

Terraform Experience : 4+ Years

Location : Gurugram

Work Mode : Onsite

Employment Type : Full-time


About the Role :

We are looking for an experienced Senior AWS DevSecOps & AI Platform Engineer with strong expertise in AWS cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD automation, cloud security, and database administration.

The ideal candidate will be responsible for designing and maintaining secure, scalable, reliable, and cost-efficient cloud environments while supporting microservices-based applications and implementing DevSecOps best practices. The role also involves building and deploying AI agents using Amazon Bedrock and Bedrock AgentCore, along with managing enterprise development and collaboration tools.


Mandatory Skills :

AWS (EC2, EKS, ECS, Lambda, S3, CloudWatch), Kubernetes, Terraform, Jenkins, Bitbucket Pipelines, CI/CD, DevSecOps, AWS Security Services (IAM, WAF, GuardDuty, Security Hub, KMS, Secrets Manager), Microservices, Helm, PostgreSQL, Oracle SQL, RDS, Jira, Confluence, Amazon Bedrock, Bedrock AgentCore, AWS Networking, and Cloud Cost Optimization.


Key Responsibilities :

  • AWS Cloud Infrastructure : Design, implement, and maintain AWS infrastructure with a focus on scalability, availability, security, reliability, and cost optimization.
  • Microservices & Containerization : Manage and support distributed microservices architectures, including deployment, monitoring, troubleshooting, performance optimization, service meshes, and API gateways.
  • Kubernetes Administration : Administer and optimize Kubernetes clusters, including Amazon EKS and self-managed environments, covering upgrades, networking, workload management, scaling, and resource optimization.
  • Cloud Security & Compliance : Implement and manage AWS security services, including IAM, GuardDuty, Security Hub, WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
  • DevSecOps Implementation : Integrate security testing, vulnerability scanning, container security, and compliance-as-code tools into CI/CD pipelines.
  • CI/CD & Source Control : Manage Bitbucket repositories, branching strategies, permissions, and Bitbucket Pipelines. Build and optimize Jenkins pipelines using declarative and scripted approaches.
  • Infrastructure as Code : Develop and maintain Terraform modules, manage remote state and workspaces, detect infrastructure drift, and implement reusable infrastructure provisioning practices.
  • Database Administration : Provision, manage, secure, and optimize AWS RDS databases, particularly PostgreSQL and Oracle, including backups, replication, patching, performance tuning, and migrations.
  • Jira & Confluence Administration : Manage projects, workflows, automation rules, permissions, user access, spaces, schemes, and plugins.
  • Monitoring & Reliability : Define and monitor SLIs, SLOs, and SLAs; implement observability best practices; and participate in incident management, root cause analysis, and post-incident reviews.
  • AI Agent Development : Design, build, and deploy AI agents using Amazon Bedrock and Bedrock AgentCore, including agent runtime, memory, tools, gateway integration, identity and access management, guardrails, and lifecycle management across environments.
  • Cloud Connectivity : Support hybrid cloud connectivity using AWS Direct Connect, VPN, and Transit Gateway.
  • Cost Optimization : Apply FinOps practices to monitor cloud expenditure, optimize resource utilization, and improve infrastructure efficiency.
  • API Integrations : Integrate third-party APIs while implementing authentication, rate limiting, error handling, and webhook management.


Required Skills & Qualifications :

  • 5+ years of hands-on experience with AWS cloud services, including EC2, ECS, EKS, Lambda, ALB, CDN, S3, CloudWatch, Amazon Bedrock, and Bedrock AgentCore.
  • Strong understanding of AWS networking, multi-account strategies, landing zone architecture, and hybrid connectivity.
  • 4+ years of practical experience with Terraform, including module development, remote state management, workspaces, drift detection, and state operations.
  • Extensive experience administering Kubernetes, preferably Amazon EKS, including Helm, Kustomize, operators, RBAC, network policies, autoscaling, and multi-tenancy.
  • Proven experience managing distributed microservices, service meshes, API gateways, and inter-service communication.
  • Strong knowledge of AWS security services, including IAM, Service Control Policies (SCPs), WAF, KMS, Secrets Manager, AWS Config, and CloudTrail.
  • Experience implementing least-privilege access, zero-trust principles, and cloud security compliance controls.
  • Hands-on experience integrating DevSecOps tools such as Snyk, Trivy, Checkov, and SonarQube into CI/CD pipelines.
  • Understanding of OWASP security principles, CIS benchmarks, vulnerability management, and container security.
  • Proficiency in Bitbucket repository administration, branch permissions, and YAML-based Bitbucket Pipelines.
  • Strong experience developing and maintaining Jenkins CI/CD pipelines, shared libraries, plugins, and build agents.
  • Experience administering AWS RDS databases, particularly PostgreSQL and Oracle SQL, including backup, replication, performance tuning, and migration activities.
  • Experience administering Jira and Confluence, including workflows, permissions, automation, and plugin management.
  • Working knowledge of Azure services, particularly Web Apps and Logic Apps/Workflows.
  • Practical experience with Amazon Bedrock, including model invocation, guardrails, and AI agent development and deployment using Bedrock AgentCore.
  • Understanding of third-party API integration, authentication mechanisms, rate limiting, error handling, and webhook management.
  • Familiarity with FinOps practices and cloud cost optimization.


Good-to-Have Skills :

  • Additional Azure experience, including networking, Azure SQL Managed Instance, and Azure Kubernetes Service (AKS).
  • Hands-on experience with AI-driven Development Lifecycle (AI-DLC) methodologies and tools such as Kiro.


Relevant certifications, such as :

  • AWS Certified Solutions Architect
  • AWS Certified DevOps Engineer – Professional
  • AWS Machine Learning or Generative AI certifications
  • Certified Kubernetes Administrator (CKA)
  • HashiCorp Terraform certifications


Ideal Candidate Profile :

The ideal candidate is a hands-on cloud and DevSecOps professional who can manage enterprise-scale AWS infrastructure, automate deployments, strengthen security controls, troubleshoot complex distributed systems, and support AI agent development. Strong problem-solving skills, an automation-first mindset, and the ability to collaborate across development, security, and infrastructure teams are essential.

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TeleApps
Iswarya S
Posted by Iswarya S
Chennai, Bengaluru (Bangalore)
4 - 7 yrs
₹7L - ₹11L / yr
skill iconAmazon Web Services (AWS)

We are looking for an experienced AWS DevOps Engineer with 5–7 years of experience in cloud infrastructure management, automation, and deployment engineering. The candidate should have strong hands-on experience with AWS services, Infrastructure as Code (IaC), CI/CD pipeline implementation, Jenkins, and Ansible.

  • Design, implement, and maintain AWS cloud infrastructure and services.
  • Build, manage, and optimize CI/CD pipelines using Jenkins.
  • Automate infrastructure provisioning and management using Terraform or AWS CloudFormation.
  • Develop and maintain Ansible playbooks for configuration management and automation.
  • Manage AWS services such as EC2, S3, VPC, IAM, EBS, ELB, Auto Scaling, Route 53, and CloudWatch.
  • Implement cloud infrastructure security, access management, monitoring, and backup strategies.
  • Automate deployment processes and improve application release efficiency.
  • Monitor infrastructure performance and troubleshoot cloud-related issues.
  • Manage networking components, including VPC, subnets, routing, security groups, NACLs, DNS, VPN, and load balancers.
  • Manage VMware virtualized environments and perform server administration activities.
  • Perform Linux and Windows server administration, patching, upgrades, and troubleshooting.
  • Collaborate with development and infrastructure teams to improve system reliability and operational efficiency.


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NAM Info Pvt Ltd
Ramya Munirathnam
Posted by Ramya Munirathnam
Bengaluru (Bangalore)
3 - 6 yrs
₹1L - ₹6L / yr
skill iconAmazon Web Services (AWS)
Amazon EC2
Amazon S3
Amazon VPC
AWS IAM
+8 more

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

  • Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
  • Proficiency in IaC tools such as Terraform and/or CloudFormation.
  • Solid scripting skills in Python, Bash, or equivalent for automation tasks.
  • Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
  • Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
  • Strong troubleshooting mindset and experience resolving production-level issues.
  • Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

  • AWS certifications (e.g., SysOps Administrator).
  • Experience with containerization (Docker, Kubernetes/EKS/ECS).
  • Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
  • CI/CD pipeline, infra pipelines.
  • AWS services like compute, network, storage, security.
  • Migration experience like Discovery/Assessments, TA, Infra Design.



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