NC
Sr DevOps + AI Ops Engineer
NR Consulting - India
- 🇮🇳 India
- On-site
- Senior
- 1 day ago
- Devops
- AI
- CI/CD
- GitHub Actions
- IaC
- Terraform
- AWS Cloud
- Datadog
- AWS
- Change Management
- Incident Management
- Jira
- ServiceNow
- EC2
- SAST
- DAST
- EKS
- ECS
- Incident Response
- Disaster Recovery
- Amazon EventBridge
- Step Functions
- Machine Learning
- Amazon Bedrock
- MCP
- triage
- AIOps
- WAF
- VPC
- Kubernetes
- AWS Bedrock
- CloudWatch
- RDS
- Jenkins
- SonarQube
- X-ray
- Wiz
- Python
- Bash
- PowerShell
- Git
- Dynatrace
- OpenTelemetry
- Bedrock
- RAG
- FinOps
- Agile
1 day ago
Location:Hyderabad
Exp: 5+Yrs
Job Description:
Build and maintain automation pipelines supporting Continuous Integration and Continuous Delivery using Harness or GitHub Actions.
•     Strong 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 · NR Consulting - India