Senior Aws Devops & Sre - Cloud Platform, Remote Latam
Lever, Inc.
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Benefits offered by this job
Job summary
AgileEngine is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private cloud environments, including automation, tooling, and incident management.
We require 4+ years of hands-on Kubernetes production experience, strong Linux fundamentals, and experience with Azure or AWS. Flexible schedule with remote and office options is offered along with competitive USD-based compensation.
Qualifications
- 4+ years of hands-on experience operating Kubernetes in production.
- Strong Linux and command line fundamentals.
- Experience with a public cloud provider, preferably Azure or AWS.
- Upper-intermediate or better English level.
Responsibilities
- Operate and maintain the Kubernetes-based platform across cloud environments.
- Work with observability tooling to ensure actionable alerts and up-to-date runbooks.
- Manage incidents end-to-end, including root cause analysis and post-incident reviews.
- Onboard and support new clients onto the platform.
- Build automation and diagnostic tooling to reduce manual effort and improve performance.
- Identify and deliver process improvements; support upgrades and capacity planning.
Skills
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
We are looking for a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private cloud environments, including automation, tooling, and incident management.
- 4+ years of hands-on experience operating Kubernetes in production , ideally with Service Mesh.
- Strong Linux and command line fundamentals .
- Confident debugging and troubleshooting complex systems, from the application layer through to lower-level infrastructure.
- Experience working with a public cloud provider, preferably Azure or AWS .
- Working knowledge of Grafana, Prometheus, Loki and Tempo is a plus.
- Scripting or coding in Python or Java is a strong plus.
- CI/CD, infrastructure as code such as Helm or Terraform is a plus.
- Financial services background is not required.
- Operate and maintain the Kubernetes based platform across public and private cloud environments.
- Work with observability tooling to ensure alerts are actionable through up-to-date runbooks and documentation.
- Manage incidents from end-to-end, including incident response, root cause analysis, and post incident reviews.
- Onboard and support new clients onto the platform.
- Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
- Identify and deliver process improvements.
- Support software and hardware upgrades and keep components up to date.
- Proactively manage capacity so the platform scales with demand.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
We are looking for a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private cloud environments, including automation, tooling, and incident management.
- 4+ years of hands-on experience operating Kubernetes in production , ideally with Service Mesh.
- Strong Linux and command line fundamentals .
- Confident debugging and troubleshooting complex systems, from the application layer through to lower-level infrastructure.
- Experience working with a public cloud provider, preferably Azure or AWS .
- Upper-intermediate English level.
- Working knowledge of Grafana, Prometheus, Loki and Tempo is a plus.
- Scripting or coding in Python or Java is a strong plus.
- CI/CD, infrastructure as code such as Helm or Terraform is a plus.
- Financial services background is not required.
- Operate and maintain the Kubernetes based platform across public and private cloud environments.
- Work with observability tooling to ensure alerts are actionable through up-to-date runbooks and documentation.
- Manage incidents from end-to-end, including incident response, root cause analysis, and post incident reviews.
- Onboard and support new clients onto the platform.
- Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
- Identify and deliver process improvements.
- Support software and hardware upgrades and keep components up to date.
- Proactively manage capacity so the platform scales with demand.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
Hands-on experience of at least 4 years operating Kubernetes in production, ideally with Service Mesh. Strong Linux and command line fundamentals. Confident debugging & troubleshooting complex systems, from the application layer through to lower-level infrastructure. Experience working with a public cloud provider, preferably Azure or AWS.
The Role: We are looking for an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team.
In this role, you will own cloud infrastructure, deployment automation, and system reliability , with a strong focus on cloud-agnostic portability, Kubernetes administration, Infrastructure as Code, and automated CI/CD workflows.
We are looking for someone with strong hands-on experience in Kubernetes, Terraform, GitHub Actions, multi-cloud environments, and IAM solutions such as Keycloak .
Responsibilities:
Kubernetes Administration: Deploy, manage, scale, and troubleshoot workloads on Kubernetes , initially using Google Kubernetes Engine (GKE) , with Helm and Kustomize .
Infrastructure as Code: Build modular and cloud-agnostic infrastructure using Terraform , enabling consistent deployments across GCP, other public clouds, and on-premise environments .
CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for automated testing, containerization, and deployment.
Manage container images and deployment workflows using GitHub Container Registry (GHCR) .
IAM & Platform Deployment: Deploy, operate, and scale highly available Keycloak clusters.
Configure GitHub Workload Identity Federation (OIDC) to provide GitHub Actions with secure, keyless access to GCP resources.
Implement and maintain secure secrets management practices.
Collaborate with technical leadership to evaluate and improve deployment strategies, including traditional CI/CD and GitOps approaches using tools such as ArgoCD or Flux .
Contribute to the reliability, scalability, security, and portability of the overall cloud platform.
Requirements:
Advanced hands-on experience managing production Kubernetes environments , including container networking.
Strong proficiency with Terraform, Helm, and Infrastructure as Code (IaC) methodologies.
Deep experience designing and maintaining deployment pipelines using GitHub Actions .
Experience working with GitHub Container Registry (GHCR) .
Experience deploying and maintaining production Keycloak/IAM environments .
Strong understanding of OIDC, identity management, authentication, and authorization concepts .
Experience with secrets management and cloud security best practices.
Experience working with GCP/GKE and an understanding of multi-cloud or cloud-agnostic infrastructure approaches.
Strong understanding of containerized environments, deployment automation, and system reliability
Core Tech Stack
Kubernetes (GKE) | Terraform | Helm | Kustomize | GitHub Actions | GHCR | GCP | Multi-Cloud | Keycloak | OIDC | IaC | ArgoCD / Flux
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
We are looking for a DevOps Engineer to build and run cloud infrastructure, CI/CD, and observability for Data and AI teams in a PCI-compliant environment.
- 4+ years of professional DevOps, SRE, or platform-engineering experience operating production services.
- 3+ years of hands-on experience building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or CircleCI) and managing infrastructure as code (Terraform, Pulumi, or CloudFormation).
- Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling (Docker, Helm, ArgoCD, or Flux).
- Strong scripting skills in Python, Bash, or Go ; solid SQL skills and strong comfort with at least one cloud platform (AWS, Azure, or GCP).
- Hands-on experience with observability stacks: New Relic, Prometheus, Grafana, OpenTelemetry, ELK, or Datadog.
- Solid understanding of cloud security and compliance practices, particularly in PCI-compliant or regulated environments .
- Proven ability to work independently and within a team, managing priorities across concurrent projects and time zones, including on-call rotations.
- Strong written and verbal communication skills; able to work effectively with both technical and non-technical stakeholders.
- Experience operating Dataiku DSS, Snowflake, or other large-scale data and analytics platforms in production.
- Experience with service meshes (Istio, Linkerd), API gateways, and zero-trust networking.
- Experience with policy-as-code (OPA / Rego, Checkov, tfsec) and supply-chain security (SBOM, Sigstore).
- Experience with FinOps practices and cloud cost optimization.
- Experience supporting ML or LLM workloads — GPU scheduling, model-serving infrastructure, vector databases, or LangSmith / Langfuse.
- Experience with database administration / reliability for PostgreSQL, MySQL, or Snowflake.
- Experience in loyalty, martech, adtech, or a comparable data-rich B2B domain.
- Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in Data & AI teams.
- Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure, or GCP.
- Own CI/CD pipelines in GitHub Actions, Jenkins, or GitLab CI — build, test, security scanning, blue-green or canary deploys, and automated rollback.
- Operate Kubernetes clusters (EKS, AKS, or GKE) and container workloads with LENS, Helm, ArgoCD, or Flux — including autoscaling, ingress, secrets, and policy.
- Build observability with Prometheus, Grafana, OpenTelemetry, ELK, or Datadog — metrics, logs, traces, dashboards, and SLO-driven alerting.
- Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy-as-code (OPA, Checkov), and PCI-aware patterns.
- Lead incident response — on-call, runbooks, blameless post-mortems, and continuous reliability work to drive down MTTR and toil.
- Partner with developers on local dev experience, golden paths, internal platform tooling, and developer self-service.
- Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
- Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs, and product partners across environments.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
We are looking for a Senior Cloud/DevOps Engineer to operate and improve the cloud infrastructure and reliability layers behind an enterprise data platform in a regulated healthcare environment.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
- 5+ years of professional experience in Cloud Engineering, DevOps or Site Reliability Engineering.
- Strong hands-on experience operating AWS infrastructure in production environments.
- Advanced experience with Kubernetes and Amazon EKS , including workload operations, troubleshooting, access, observability, capacity, and reliability.
- Hands-on experience administering and troubleshooting Argo Workflows or comparable workflow orchestration platforms.
- Strong Infrastructure as Code experience with Terraform and source-controlled infrastructure practices.
- Experience building, hardening, and supporting CI/CD pipelines and production release processes.
- Strong experience with monitoring, logging, alerting, and incident-routing tools such as Splunk, PagerDuty, Opsgenie, or comparable platforms.
- Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and translate findings into preventive improvements.
- Proficiency in automation and scripting using Python, Shell, Bash, or similar languages.
- Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and drive improvements across a complex platform.
- Experience mentoring engineers and collaborating effectively with Data Engineering, Security, Governance, Analytics, and business stakeholders.
- Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.
- Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed on-call rotation.
- Experience supporting data-platform infrastructure involving Snowflake, dbt, Fivetran, HVR, Tableau Cloud, or custom ingestion pipelines.
- Familiarity with data-specific observability platforms such as SYNQ.
- Experience modernizing or migrating legacy orchestration and ingestion solutions such as Boomi or AWS Data Pipeline.
- Experience with service-management and change-control tools such as Freshservice and Jira.
- Experience operating in healthcare, life sciences, financial services, or another regulated environment.
- Familiarity with HIPAA, GDPR, FDA-related controls, least-privilege access, separation of duties, and audit-ready operational practices.
- 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.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
We are looking for a Senior/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project.
- 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.
- 4+ years supporting Kubernetes in production environments.
- Demonstrated experience deploying and operating AWS-hosted applications.
- Experience leading technical implementation efforts with minimal supervision.
- Strong troubleshooting and root-cause analysis skills.
- Strong experience with Kubernetes, EKS, and Helm.
- Strong experience with Argo CD and Service Mesh technologies.
- Strong experience with ingress controllers, container networking, storage and persistence, and cluster operations and upgrades.
- Strong experience with AWS services, including VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store.
- Experience with GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, and Terraform.
- Experience with Bash, Python, or Go.
- Upper-intermediate English level.
- Experience with one or more of the following CNCF ecosystem technologies: Cilium, Hubble, Prometheus, Grafana, Fluent Bit, OpenTelemetry, Karpenter, Crossplane, Kyverno, Tetragon, ExternalDNS, and cert-manager.
- Experience with Backstage, Internal Developer Platforms, Self-Service Infrastructure, Golden Path Engineering, and Environment Automation.
- Experience with Robin Cloud Native Platform (Rakuten Symphony Robin).
- Experience migrating applications from on-premises environments to cloud-hosted Kubernetes.
- Experience supporting healthcare, medical device, HIPAA, or regulated environments.
- Experience integrating acquired company technology stacks into enterprise cloud platforms.
- Experience documenting operational procedures and performing technical knowledge transfer.
- Lead deployment of a new cloud environment within AWS or other Cloud provider.
- Ensure deployment follows security, reliability, and operational best practices.
- Partner with application, infrastructure, security, and operations teams throughout the implementation.
- Deploy and manage workloads running on Kubernetes platforms.
- Troubleshoot cluster, networking, ingress, storage, and workload issues.
- Support application modernization and containerization efforts where needed.
- Implement platform standards and operational guardrails.
- Design and enhance GitLab CI/CD pipelines.
- Implement deployment automation and release workflows.
- Establish GitOps deployment patterns using tools such as Argo CD.
- Improve traceability, repeatability, and deployment reliability.
- Develop and maintain infrastructure using Terraform and related tooling.
- Reduce manual deployment activities through automation.
- Configure platform monitoring, logging, alerting, and dashboards.
- Support production readiness reviews and operational runbooks.
- Establish reliability practices and incident response procedures.
- Identify bottlenecks and performance issues across cloud and Kubernetes environments.
- Evaluate existing deployment practices and operational processes.
- Document platform architecture, deployment procedures, and operational support requirements.
- Produce runbooks and knowledge-transfer documentation for support teams.
The block with recruitment scams and third‑party warnings has been removed.
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