DevOps Engineer / DevOps Consultant

Cloud and Infrastructure Engineering
Design, deploy, and manage secure, scalable, highly available AWS infrastructure using Terraform.
Support AWS services including VPC, IAM, S3, Lambda, API Gateway, ECS, CloudFront, ACM, WAF, KMS, Secrets Manager, CloudWatch, and SNS.
Develop reusable and standardized Terraform modules aligned with security, governance, and operational standards.
Manage infrastructure configuration, environment promotion, and changes exclusively through source-controlled CI/CD pipelines.
Identify opportunities to improve reliability, performance, standardization, and AWS cost efficiency.

ETL and Workflow Orchestration
Support data ingestion and ETL workloads that process data from multiple internal and external sources.
Operate and deploy AWS Glue jobs, Crawlers, Data Catalog resources, connections, IAM roles, and runtime configurations.
Manage AWS Step Functions workflows used to orchestrate ingestion, transformation, validation, and downstream processing.
Implement monitoring for job status, execution duration, failures, data freshness, and processing outcomes.

Amazon RDS for PostgreSQL
Provision and manage Amazon RDS for PostgreSQL using Terraform and CI/CD automation.
Support database availability, backups, point-in-time recovery, encryption, parameter groups, maintenance, upgrades, and capacity management.
Support database backup validation, restore testing, failover procedures, and operational recovery.
Ensure database changes are deployed safely and consistently across environments.
Database DDL and Schema Management
Manage PostgreSQL DDL and schema changes through version-controlled and auditable CI/CD processes.
Automate deployment of tables, schemas, indexes, constraints, views, functions, procedures, roles, grants, and other approved database objects.
Ensure production DDL changes are not performed manually as part of the standard deployment process.

AWS AI and Agent-Based Services
Support infrastructure and deployment automation for Amazon Bedrock and Amazon Bedrock AgentCore capabilities.
Manage related IAM permissions, Lambda functions, APIs, knowledge bases, guardrails, configuration, and runtime dependencies.
Implement secure deployment patterns for AI-related infrastructure and configuration.
Monitor AI service availability, invocation failures, latency, throttling, quotas, and cost.
Collaborate with application and AI engineering teams to improve the reliability, security, and operational readiness of AI-enabled functionality.

Observability and Incident Response
Design and maintain observability for ETL pipelines, Step Functions, RDS PostgreSQL, APIs, Lambda functions, containers, and AWS AI services.
Create and manage Amazon CloudWatch metrics, logs, dashboards, Logs Insights queries, metric filters, and alarms.
Configure Amazon SNS for notification routing and integrate CloudWatch alarms with PagerDuty.

Develop actionable s for:
Glue job and Step Functions failures
Workflow timeouts and throttling
Data freshness and processing delays
RDS availability, performance, connection, and storage issues
API, Lambda, container, Bedrock, and AgentCore errors
CI/CD deployment failures
Tune thresholds and routing to reduce noise and ensure effective incident response.
Create operational runbooks and participate in incident management, root cause analysis, and post-incident remediation.
CI/CD and Automation
Design, build, and maintain GitLab CI/CD pipelines for infrastructure, application, ETL, database, and AI-related deployments.
Include automated stages for testing, Terraform validation, security scanning, DDL validation, policy checks, approvals, deployment, and post-deployment verification.
Promote changes through development, test, staging, and production environments using controlled release processes.
Ensure deployment artifacts are versioned, traceable, and consistently promoted.
Secure pipeline credentials and integrate with approved secrets-management solutions.
Security and Compliance
Apply security-by-design and least-privilege principles across AWS infrastructure, databases, ETL workloads, pipelines, and AI services.
Implement encryption in transit and at rest, secure secrets management, private networking, IAM controls, and appropriate resource policies.
Integrate vulnerability scanning, code analysis, and compliance checks into CI/CD workflows, including tools such as Checkmarx.
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