Remote Gcp Devops Engineer — Ai-Driven Ci/Cd
Fullstack
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Benefits offered by this job
Job summary
AgileEngine is seeking an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team. You will own cloud infrastructure, deployment automation, and system reliability with a focus on cloud‑agnostic portability and Kubernetes administration.
You will work with Kubernetes, Terraform, GitHub Actions, multi‑cloud environments, and IAM solutions such as Keycloak, building CI/CD workflows and secure deployments using GHCR, Helm, and ArgoCD/Flux.
Qualifications
- 4+ years of professional DevOps, SRE, or platform‑engineering experience operating production services.
- 3+ years of hands‑on experience building CI/CD pipelines and managing infrastructure as code.
- Working knowledge of Kubernetes (EKS, AKS, or GKE) and container tooling.
- Strong scripting skills in Python, Bash, or Go; proficient with at least one cloud platform (AWS, Azure, or GCP).
- Hands‑on experience with observability stacks and cloud security best practices.
- Experience with multi‑cloud or cloud‑agnostic infrastructure approaches.
Responsibilities
- Strategy, Roadmap & Vision – build the roadmap for DevOps and observability in data & AI teams.
- Design and build cloud infrastructure as code, packaging reusable modules for AWS, Azure, or GCP.
- Own CI/CD pipelines in GitHub Actions and other tools; manage deployment and security scanning.
- Operate Kubernetes clusters (EKS, AKS, GKE) and containers with Helm/ArgoCD/Flux.
- Build and improve observability with Prometheus, Grafana, and related stacks.
- Lead incident response, runbooks, and reliability improvements across environments.
- Collaborate with developers to provide self‑service platform tooling and standardized patterns.
Skills
Tools
Job description
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 .
- 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 start‑ups 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 optimisation.
- 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 personalised 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 start‑ups 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 optimisation.
- 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 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 personalised 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 start‑ups 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 optimisation.
- 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 personalised 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 start‑ups 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 operationalise 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.
- 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 modernisation and containerisation 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.
- Professional growth : Mentorship, TechTalks, and personalised 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 start‑ups 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.
The mandatory requirements are 5+ years of experience in Cloud Engineering, DevOps, or Site Reliability Engineering, advanced hands‑on experience with AWS EKS and Kubernetes, experience administering and troubleshooting Argo Workflows , and strong English communication skills.
- 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 modernising 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 personalised 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.
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution... (full narrative omitted for brevity).
Job Description ... etc.
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