Sr Devops + AIOps engineer

KPG99 INC

Hyderabad

Sur place

INR 3 200 000 - 5 200 000

Plein temps

Il y a 31 heures
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Résumé du poste

KPG99 INC. in Hyderabad is seeking an experienced AWS DevSecOps and AIOps Engineer to automate infrastructure, integrate security into CI/CD, and optimize cloud costs using AWS services like Bedrock, SageMaker, and advanced observability with Datadog.

You will design and implement self-healing architectures, build container platforms on EKS/ECS, and partner with multiple teams to enforce security guardrails, incident management, and disaster recovery testing.

Qualifications

  • 5+ years hands-on experience with core AWS services.
  • Experience securing and operating Kubernetes clusters.
  • Proficient in IaC with Terraform and automation tooling.

Responsabilités

  • Build and maintain CI/CD pipelines (Harness or GitHub Actions).
  • Implement security guardrails in pipelines (SAST, SCA, DAST).
  • Integrate Datadog dashboards and log pipelines for observability.
  • Lead cost optimization and disaster recovery planning on AWS.
  • Develop AI-driven monitoring and self-healing using Bedrock/SageMaker.
  • Collaborate with multiple teams on security, incident, and change management.

Connaissances

Cloud security
Automation
CI/CD
SRE practices
Python/Bash
Observability
Cross-functional collaboration

Outils

Terraform
Kubernetes
Datadog
Harness
GitHub Actions
Jira
ServiceNow
Bedrock
SageMaker
OpenTelemetry

Description du poste

We are seeking an experienced AWS DevSecOps and AIOps Engineer with strong expertise in AWS, Terraform, CI/CD pipelines, Kubernetes (EKS/ECS), cloud security, and observability tools such as Datadog. The role involves automating infrastructure, integrating security into deployment pipelines, optimizing cloud costs, implementing disaster recovery, and building AI-driven monitoring and self-healing solutions using AWS Bedrock and related services. Strong scripting, troubleshooting, and cross-functional collaboration skills are essential.

Job Responsibilities
  • Build and maintain automation pipelines supporting Continuous Integration and Continuous Delivery using Harness or GitHub Actions.
  • Provide critical support on AWS cloud environments
  • Integrate Datadog and create custom dashboards, alerts and log pipelines for continuous monitoring and observability.
  • AWS resource provisioning, management, architecture with a focus on cost and optimization
  • Lead projects & initiatives to completion to improve and streamline operational processes and maximize resources
  • Interface with other teams to resolve complex issues that have implications beyond your own area
  • Assess infrastructure and application vulnerabilities and take remediation actions as appropriate.
  • Change management and Incident management experience using JIRA and ServiceNow.
  • Collaborate with developers to streamline code deployments and environment configurations.
  • Work with multiple teams to implement security best practices across Containers, EC2 and Serverless workloads. Embed security guardrails into CI/CD pipelines including SAST, SCA, DAST, container image scanning and SBOM generation, with policy-based gating and fail-fast controls.
  • Build and secure container platforms on EKS or ECS, including image hardening, admission controls, runtime security and patching cadence.
  • Participate in on-call rotation, incident response, blameless post-mortems and periodic disaster recovery and resilience testing.
  • Implement anomaly detection, event correlation and alert noise reduction across metrics, logs and traces to reduce alert fatigue and improve MTTD/MTTR. Build auto-remediation and self-healing workflows triggered by observability signals using EventBridge, Lambda, Step Functions and SSM Automation. Leverage ML and GenAI capabilities, such as Amazon Bedrock and agentic or MCP-based tooling, for intelligent triage, root cause analysis assistance and operational knowledge retrieval.
  • Design and implement AIOps solutions to monitor, analyze, and optimize AWS cloud infrastructure and costs.
Required Qualifications:
  • 5+ years of hands-on experience with core AWS services including EC2, ASG, Security Groups, ALB/NLB/WAF, NACLs, Routing, Route 53, VPC networking, EC2 Image Builder, EKS, ECS, ECR, Lambda and SSM.
  • Experience in setting up, securing and operating Kubernetes clusters across cloud and hybrid platforms, including upgrades, scaling and troubleshooting.
  • Strong knowledge of containerization and orchestration on EKS and ECS, covering image hardening, registry management and runtime security.
  • Strong expertise in Infrastructure as Code using reusable Terraform modules, remote state management, drift detection and automated plan/apply workflows.
  • Experience working with AWS Bedrock foundation models and SageMaker Studio, including prompt design, model selection and cost-aware inference.
  • Experience integrating AIOps tooling with AWS services such as CloudWatch, EventBridge, Lambda, S3, EC2, ECS and RDS to enable automated detection and response.
  • Hands on Experience on testing and orchestrating Disaster Recovery Strategies on AWS cloud.
  • Hands-on experience building and operating CI/CD pipelines using Harness, GitHub Actions or Jenkins, including job promotion, approvals and rollback strategies.
  • Practical experience with application and infrastructure security tooling covering SAST, SCA, DAST, container image scanning and SBOM generation using tools such as SonarQube, JFrog Xray, checkamrx and Wiz.
  • Proficiency in scripting and automation using Python, Bash or powershell with strong Git and branching-strategy discipline.
  • Hands-on experience with observability platforms such as Datadog, CloudWatch, Dynatrace or OpenTelemetry, covering metrics, logs, traces, synthetic monitoring and dashboarding.
  • Experience building auto-remediation and self-healing workflows using EventBridge, Lambda, Step Functions and SSM Automation.
  • Exposure to agentic and GenAI-assisted operations, including Bedrock AgentCore, MCP-based tooling, RAG patterns and AI-assisted triage or root cause analysis.
  • FinOps and cost optimisation experience covering tagging governance, rightsizing, Graviton migration, Spot adoption, Savings Plans coverage and cost anomaly detection.
  • Experience with incident, problem and change management using JIRA and ServiceNow, including on-call participation, post-incident reviews and DR/resilience testing.
  • Strong communication, stakeholder management and mentoring skills, with the ability to lead technical initiatives independently in an Agile environment.
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