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Alexis Nieves's avatar
Alexis Nieves
Denver, USA
Senior DevOps/SRE | AWS, Kubernetes & Terraform Expert
New to Contra
Senior DevOps/SRE | AWS, Kubernetes & Terraform Expert
Cover image for Architected and implemented a production-grade,
Architected and implemented a production-grade, fully automated DevOps platform on AWS, covering the entire software delivery lifecycle from code commit to live deployment. The platform integrates eight tightly coupled layers: a developer workflow built on Git, Docker Compose, and pull requests; a GitHub Actions CI/CD pipeline with dedicated workflows for continuous integration, deployment, Terraform provisioning, security scanning, and semantic releases; and a multi-tool security gate enforcing SAST, SCA, IaC scanning, container analysis, OWASP ZAP, and CodeQL checks before any artifact progresses. Infrastructure is provisioned as code using Terraform, deploying a multi-AZ VPC, an EKS cluster, ECR repositories, RDS MySQL, an ALB with WAF, and IAM OIDC integration on AWS. Applications are packaged with Helm Umbrella Charts and deployed to Kubernetes with Horizontal Pod Autoscaling (2–8 replicas) and RBAC-enforced NetworkPolicies. GitOps state management is handled by ArgoCD, providing continuous reconciliation, drift detection, auto-sync, and self-healing across all application sets. Observability is delivered through a dual-stack setup: a metrics pipeline (Prometheus → Grafana → Alertmanager → Slack) and a log aggregation pipeline (Filebeat → Logstash → Elasticsearch → Kibana). Releases are fully automated using Semantic Release with Conventional Commits, producing versioned GitHub Releases and Docker image tags without manual intervention.
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Cover image for Comparing AWS ECS and AWS EKS for Container Orchestration
Comparing AWS ECS and AWS EKS for Container Orchestration
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Cover image for Implementing Additional Checks for AWS Security
Implementing Additional Checks for AWS Security
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Cover image for Designed and developed a Command
Designed and developed a Command Line Interface (CLI) security tool that leverages the Google Gemini API (gemini-2.5-flash) to perform advanced, AI-driven vulnerability analysis on Python codebases. This tool acts as an automated security engineer, scanning source code to detect critical flaws before they reach production. The scanner parses Python files and evaluates them against a detailed security prompt to identify vulnerabilities such as SQL injection, hardcoded secrets (API keys and database passwords), weak cryptography (e.g., MD5 hashing), insecure deserialization, and improper input validation. It outputs a structured, color-coded terminal report assigning severity ratings (🔴 High, 🟠 Medium, 🟢 Low) to each finding. For every detected issue, the tool provides the vulnerability type, the exact line number, a concise explanation of the risk and potential impact, and actionable remediation advice with secure code fixes. The architecture is built on a lightweight Python foundation using a virtual environment for dependency isolation. It utilizes the google-generativeai SDK for model interaction and python-dotenv for secure environment variable management, ensuring API keys are never hardcoded. This project demonstrates the ability to integrate cutting-edge Large Language Models (LLMs) into traditional DevSecOps workflows, providing enterprise-grade security scanning capabilities directly within the developer's terminal.
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Helm(1)
Tatiana Denel's avatar
Tatiana Denel
Ramat Gan, Israel
DevOps, GCP, AWC, PCC, Docker, K8s, Terraform, CI/CDPipeline
8
Followers
DevOps, GCP, AWC, PCC, Docker, K8s, Terraform, CI/CDPipeline
Cover image for High-Security DevOps Pipeline for a Financial Platform
High-Security DevOps Pipeline for a Financial Platform
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Cover image for Scalable Cloud Migration for a FinTech Platform
Scalable Cloud Migration for a FinTech Platform
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Cover image for Multi-Region Disaster Recovery & High Availability Setup
Multi-Region Disaster Recovery & High Availability Setup
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Helm(1)
Yasser Boukhers's avatar
Yasser Boukhers
Paris, France
CI/CD Specialist | Kubernetes, Docker & Jenkins Guru
$1k+
Earned
1x
Hired
2
Followers
CI/CD Specialist | Kubernetes, Docker & Jenkins Guru
Cover image for High Availability Jenkins CloudBees Deployment Automation
High Availability Jenkins CloudBees Deployment Automation
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Cover image for Scalable Kubernetes Infra with Automated Canary Deployment
Scalable Kubernetes Infra with Automated Canary Deployment
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Cover image for Infrastructure Automation with Advanced Ansible Techniques
Infrastructure Automation with Advanced Ansible Techniques
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Helm(2)
Stanislav Stankov's avatar
Stanislav Stankov
Sofia, Bulgaria
Principal Product Manager
Principal Product Manager
Cover image for SaaS Shipment Tracking System
SaaS Shipment Tracking System
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Cover image for AOL Communities PoC
AOL Communities PoC
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Cover image for PLG Data Driven Growth for B2B SaaS
PLG Data Driven Growth for B2B SaaS
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Helm(1)
Joshua Rotimi's avatar
Joshua Rotimi
Atlanta, USA
AI Output Evaluator & LLM Quality Specialists
New to Contra
AI Output Evaluator & LLM Quality Specialists
Cover image for A sample LLM evaluation report
A sample LLM evaluation report analyzing AI responses for accuracy, reasoning quality, hallucinations, and failure patterns. Demonstrates structured testing and quality assessment workflows.
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Cover image for Evaluated 60 multi-turn conversations from
Evaluated 60 multi-turn conversations from a retail support AI to track context retention, persona consistency, and task completion across longer exchanges. Found that context drops clustered around the third and fourth turn, pointing to a memory window limitation rather than random failures, and flagged each instance with the exact turn where context broke down.
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Cover image for Ran 48 adversarial prompts against
Ran 48 adversarial prompts against a production LLM to surface jailbreak vulnerabilities, role override attempts, and context manipulation before a public launch. Found 11 vulnerabilities including 3 critical, documented every failure with reproducible prompts, and delivered a prioritised risk report with fixes.
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Cover image for Built a custom evaluation rubric
Built a custom evaluation rubric for scoring AI customer support outputs across five weighted dimensions: factual accuracy, reasoning validity, instruction adherence, adversarial robustness, and format compliance. Each dimension includes plain-language scoring criteria so any team member can apply it consistently, no AI background required.
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Helm(1)
Neil Seymour's avatar
Neil Seymour
London, UK
Cloud Infrastructure Engineer · AWS · Kubernetes · Docker
New to Contra
Cloud Infrastructure Engineer · AWS · Kubernetes · Docker
Cover image for Production Helm Chart — Kubernetes
Production Helm Chart — Kubernetes Deployment A production-grade Helm chart managing a multi-component application on Kubernetes. Includes separate server and worker deployments, HPA and PodDisruptionBudgets for resilience, NetworkPolicies for pod-level traffic control, a pre-deploy migration job, ingress with TLS, and a PostgreSQL dependency. Structured with separate values files for local dev and production environments.
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Cover image for Cloud Infrastructure — AWS, EKS
Cloud Infrastructure — AWS, EKS & CI/CD Pipeline Architecture diagram representing the infrastructure stack I design and manage for clients. Covers a full CI/CD pipeline (GitHub Actions → Docker multi-arch build → Helm deploy), an Amazon EKS cluster with production-hardened pods (HPA, PodDisruptionBudgets, NetworkPolicies), supporting AWS services (RDS, S3, IAM), and observability via Prometheus and OpenTelemetry.
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Cover image for Preview Environment System · CI-Driven
Preview Environment System · CI-Driven · Full Stack Automated preview environment system triggered by CI pipelines. On every PR tagged for preview, a GitHub Actions pipeline builds and pushes a branch-tagged Docker image, which triggers a Northflank webhook to instantiate a full-stack environment from a template — server, worker, PostgreSQL, migrations, and a unique subdomain URL. Environments are completely isolated per PR with no shared state, spin up in minutes, and are automatically destroyed when the PR is closed or merged. Production releases follow the same pipeline on merge to master, using Helm atomic upgrades with zero-downtime rolling updates.
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Cover image for Multi-Arch Docker Pipeline — GitHub
Multi-Arch Docker Pipeline — GitHub Actions · GHCR CI/CD pipeline building multi-architecture Docker images (linux/amd64 + linux/arm64) via GitHub Actions and CircleCI. Uses Docker Buildx with QEMU emulation, multi-stage Dockerfiles for minimal production images, and automatic tagging by commit SHA, branch, and latest. Images are published to GitHub Container Registry (GHCR) with a multi-arch manifest. Deployments use Helm with atomic upgrades and automatic rollback, targeting both ephemeral preview environments and production EKS clusters.
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Helm(2)
Gabe G's avatar
Gabe G
São Paulo, Brazil
DevOps engineer fixing CI/CD and cloud failures
New to Contra
DevOps engineer fixing CI/CD and cloud failures
Cover image for Docker & Kubernetes Issues
Docker & Kubernetes Issues
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Cover image for AWS Deployment Fix
AWS Deployment Fix
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Cover image for Terraform Debug
Terraform Debug
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Cover image for CI/CD Pipeline Failure Root Cause
CI/CD Pipeline Failure Root Cause & Fix
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Helm(1)