Position : Sr Devops + AIOps engineer Location: Hyderabad (Hybrid)
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. Robust Expertise on building IAC using Terraform .
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
Change management and Incident management experience using JIRA and ServiceNow.
Collaborate with developers to streamline code deployments and environment configurations.
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.
Participate in on-call rotation, incident response, blameless post-mortems and periodic disaster recovery and resilience testing.
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.

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 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.

📌 Remote Senior DevOps Engineer with AWS (Secunderabad)
🏢 kpg99.INC
📍 Secunderabad