Title: Sr DevOps + AI Ops Engineer

Location: Hyderabad

Exp: 5+Yrs

:

Build and maintain automation pipelines supporting Continuous Integration and Continuous Delivery using Harness or GitHub Actions.

- Solid 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
- 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

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 containerisation 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.

📌 Sr DevOps + AI Ops Engineer (Hyderabad)
🏢 NR Consulting
📍 Hyderabad