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Bluelightconsulting is seeking a Senior DevOps Engineer to drive scalable AWS infrastructure, automation, and high-availability production environments. You will lead CI/CD pipelines, containerization, and data infrastructure, ensuring reliability and cost efficiency for mission-critical systems operating 24/7.
Ideal candidates have 5+ years in DevOps/SRE with Terraform, Kubernetes, and AWS mastery. Flexible remote/office options are offered, with a focus on LatAm coverage windows and secure,
We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high-availability, high-throughput, low-latency production environments.
The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission-critical systems operating 24/7.
5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.
ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.
Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi-environment deployments (Dev, QA, Integration, Prod).
Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.
Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift-Left security practices.
Production experience with Kafka (AWS MSK), Aerospike, and Multi-AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.
Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.
Strong Python (boto3), Bash scripting, and AWS Lambda.
Vulnerability management, system patching, credential protection, API key security, and least-privilege access.
Git, Pull Requests, Jira, Confluence, and AI-powered development tools.
Strong problem-solving skills, independent work capabilities, proactive communication, and data-driven decision-making.
We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high-availability, high-throughput, low-latency production environments.
The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission-critical systems operating 24/7.
4+ years of professional DevOps, SRE or platform-engineering experience operating production services 3+ years of hands-on work building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation). Experience with Azure, AWS, or GCP. Strong scripting skills in Python, Bash, or Go; solid SQL skills and strong comfort with at least one cloud platform. Hands‑on experience with Azure Kubernetes Service (AKS), Amazon EKS, or other Kubernetes platforms. Experience with scripting and automation using Python, PowerShell, Bash, or similar languages. Understanding of cloud-native architectures and application hosting patterns. Maximization of cloud solutions is required.
Provide senior technical ownership for the Cloud / DevOps service tower during the LatAm coverage window, including day-to-day operations, complex troubleshooting, and L2/L3 escalation. Operate, maintain, and improve AWS infrastructure supporting the Data Platform, including Amazon EKS, S3, EventBridge, SQS, API Gateway, Lambda, and related services. Administer Kubernetes‑hosted workloads and Argo Workflows, including deployment, scheduling, monitoring, troubleshooting, capacity management, resiliency, and recovery. Define and improve standards for Infrastructure as Code, configuration management, CI/CD, release execution, rollback, and environment consistency, primarily using Terraform and Git‑based delivery practices. Lead the consolidation and improvement of observability across infrastructure and data workloads, linking alerts to operational evidence from Argo, dbt, Snowflake, and supporting runbooks. Improve alert routing and escalation workflows across tools such as Splunk, Opsgenie, PagerDuty, Microsoft Teams, and data‑specific observability platforms. Lead or support major incident response, root‑cause analysis, post‑incident reviews, and corrective actions, with clear communication to technical and service stakeholders. Design and implement reliability improvements such as selective auto‑remediation, dependency‑aware alert correlation, impact analysis, and automation of repetitive operational work. Track and contribute to service metrics including availability, SLA compliance, alert volumes, workflow reliability, deployment outcomes, and mean time to restore service. Apply disciplined change‑management, access‑control, secrets‑management, auditability, and documentation practices appropriate for a HIPAA‑, GDPR‑, and FDA‑regulated environment. Create and maintain runbooks, operating procedures, architecture context, recovery procedures, and knowledge‑transfer materials. Mentor Middle‑level engineers, review technical work, improve team practices, and promote consistent execution across the distributed team. Participate in the Cloud / DevOps on‑call rotation for critical incidents outside staffed service hours.
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