Senior Aws Devops Engineer – Ci/Cd & Cloud Automation
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Job summary
Darwoft is seeking a Senior DevOps Engineer to design, automate, operate, and improve cloud infrastructure and deployment platforms supporting a high-scale cybersecurity product. You will work primarily with AWS, Kubernetes (EKS), Terraform, Docker, CI/CD, and observability tools, collaborating with software engineering, QA, security, and IT teams.
You will help shape platform engineering, improve automation, security, and developer productivity, and own production infra with strong ownership
Qualifications
- 5+ years of DevOps, SRE, or platform-engineering experience in production.
Responsibilities
- Design, build, and operate highly available cloud infrastructure on AWS.
Skills
Education
Tools
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 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.
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 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.
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
Kubernetes (GKE) | Terraform | Helm | Kustomize | GitHub Actions | GHCR | GCP | Multi-Cloud | Keycloak | OIDC | IaC | ArgoCD / Flux
- Location: Anywhere in LATAM
- Work Model: 100% Remote
- Engagement: Full-time Contractor
- Payment: USD
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- Location: Anywhere in LATAM
- Work Model: 100% Remote
- Engagement: Full-time Contractor
- Payment: USD
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- English Level: B2 / C1
At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.
We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset. We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.
We are partnering with an innovative cybersecurity company developing a modern Identity Security and Identity Observability platform.
The product enables enterprise security teams to monitor identity activity, identify security gaps, detect suspicious behavior, and reduce identity-related risks across cloud, SaaS, network, and on-premise environments.
Its architecture relies heavily on distributed systems, real-time data processing, cloud-native infrastructure, advanced analytics, and an increasingly AI-driven security roadmap.
As the platform continues to scale, infrastructure reliability, automation, observability, security, and developer productivity are critical engineering priorities.
We're looking for a Senior DevOps Engineer to design, automate, operate, and continuously improve the cloud infrastructure and deployment platform supporting a high-scale cybersecurity product.
You’ll work primarily with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability technologies, partnering closely with Software Engineering, QA, Security, and IT teams.
This role goes beyond maintaining infrastructure. You’ll actively contribute to platform engineering, helping engineers ship software faster and more reliably while improving automation, security, operational visibility, scalability, and cloud cost efficiency.
You’ll have a high degree of ownership over production infrastructure and participate directly in architectural decisions, incident resolution, platform improvements, and DevOps best practices.
- Design, build, and operate highly available and scalable cloud infrastructure primarily on AWS.
- Build and maintain Infrastructure as Code using Terraform.
- Deploy, manage, scale, and troubleshoot workloads running on Kubernetes, particularly Amazon EKS.
- Develop automation for infrastructure provisioning, environment configuration, and application deployment.
- Build and maintain reliable CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI.
- Improve deployment processes, release reliability, and developer experience across engineering teams.
- Manage containerized applications using Docker and Kubernetes.
- Design and improve observability across infrastructure and applications.
- Implement monitoring, dashboards, alerts, and centralized logging using technologies such as:
- Prometheus
- Grafana
- AWS CloudWatch
- OpenSearch / Elasticsearch
- ELK
- Participate in production incident response, troubleshooting, mitigation, and root cause analysis.
- Identify recurring operational issues and automate their resolution.
- Implement AWS and Kubernetes security best practices.
- Collaborate with Security teams to strengthen infrastructure security and support compliance initiatives.
- Improve platform resilience, high availability, scalability, and disaster recovery capabilities.
- Optimize AWS resource utilization and contribute to cloud cost optimization and FinOps initiatives.
- Automate operating system and infrastructure configuration using Ansible or similar tools.
- Develop operational tooling and automation using Python and Bash.
- Collaborate with Engineering teams on platform architecture and deployment strategies.
- Continuously evaluate new DevOps, cloud, Kubernetes, observability, and platform engineering technologies.
- 5–8+ years of experience working in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering, or similar roles.
- Strong hands‑on production experience with AWS.
- Strong experience managing Kubernetes clusters, ideally Amazon EKS.
- Advanced experience with Terraform and Infrastructure as Code.
- Strong experience with Docker and containerized environments.
- Hands‑on experience building and maintaining CI/CD pipelines with:
- GitHub Actions
- Jenkins
- GitLab CI
- or similar platforms
- Strong Linux administration skills.
- Experience with configuration management tools such as Ansible.
- Good scripting and automation capabilities with:
- Python
- Bash
- Experience implementing observability using technologies such as:
- Prometheus
- Grafana
- CloudWatch
- OpenSearch / Elasticsearch
- ELK
- Strong understanding of networking concepts including:
- VPCs
- Subnets
- Load Balancers
- DNS
- VPNs
- Firewalls
- Routing
- Security Groups
- Experience troubleshooting complex distributed systems and production environments.
- Solid understanding of cloud security and infrastructure security best practices.
- Experience supporting highly available, production-grade cloud environments.
- Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.
- High degree of autonomy, ownership, and analytical problem-solving ability.
- Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, or a related technical discipline, or equivalent professional experience.
You'll work with technologies including:
- AWS
- Kubernetes / EKS
- Docker
- Terraform
- Ansible
- GitHub Actions
- Jenkins
- Linux
- Python
- Bash
- Prometheus
- Grafana
- CloudWatch
- OpenSearch / Elasticsearch
- Experience with HashiCorp Nomad.
- Experience with HashiCorp Consul.
- Broader experience with the HashiCorp ecosystem.
- Experience operating Kafka in production.
- Experience supporting data infrastructure based on:
- ClickHouse
- Elasticsearch
- MongoDB
- Redis
- Experience with distributed systems and high-volume data platforms.
- Previous experience in cybersecurity, identity security, or security SaaS platforms.
- Experience working with cloud security controls and compliance frameworks.
- Experience with FinOps and cloud cost optimization.
- Experience designing internal developer platforms or platform engineering capabilities.
- Exposure to infrastructure supporting AI/ML or LLM-based applications.
- Increasing infrastructure reliability and availability.
- Reducing deployment friction and improving engineering velocity.
- Increasing infrastructure automation and reducing manual operational work.
- Improving observability and reducing mean time to detection and resolution.
- Operating Kubernetes workloads reliably at scale.
- Strengthening security throughout cloud infrastructure and deployment processes.
- Improving AWS cost efficiency without compromising reliability.
- Contributing reusable platform capabilities that allow engineering teams to move faster.
- Continuously improving production readiness as the platform scales.
- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms
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