Terraform Jobs

I have an enterprise decision-analysis product on the roadmap and I need a senior-level Microsoft Azure engineer who is comfortable taking full ownership of the Azure development. The core requirement is an unsupervised machine-learning pipeline—deployed and managed in Azure—that can ingest raw data, uncover patterns autonomously, and feed those insights into the application’s decision engine. Here is what I have in mind: data lands in an Azure Data Lake, is processed through Azure Databricks or Synapse, and the unsupervised models (clustering and anomaly-surfacing techniques are likely candidates) are trained and versioned in Azure Machine Learning. Model output then needs to be exposed via a RESTful endpoint, secured with Azure AD, and consumed by the front-end service...

Project Overview This proof-of-concept will demonstrate a regulator-grade, fully secured VPC hosting a central authority and multiple financial-institution tenants, while automating supervision and compliance checks using native AWS services. Scope The environment will be logically segmented into public and private subnets for each participant. The central authority resides in its own network segment and can observe, query, and enforce policies across all other institutions without exposing sensitive resources publicly. Key Services AWS Lambda for event-driven oversight logic and scheduled compliance sweeps AWS RDS for the authoritative supervisory data store AWS S3 as the immutable audit and reporting repository Security & Compliance Networking, IAM, logging, encr...

I have an AWS account that was suspended, but before the suspension I copied every API asset into publicly-accessible S3 buckets. The job now is to take that S3-based backup and rebuild the APIs so they are functional again in a fresh AWS environment (or another cloud provider if you can show clear advantages). Here is what you’ll be working with • Backup location: S3 buckets (objects are public right now). • Contents: full source, Lambda packages, configuration exports, and any static assets each API needs. What I need from you 1. Pull the data from the S3 buckets and verify integrity. 2. Recreate the original API endpoints, IAM roles, and Lambda or container back-ends exactly as they were. 3. Hand over clear deployment notes or an automated CloudFormation/Te...

We are a growing health-tech startup seeking a Senior DevOps Engineer (Consultant) to own and evolve our AWS infrastructure in a HIPAA-compliant environment. This role is suited for a seasoned DevOps professional who operates comfortably at both strategic and hands-on levels — someone who can design systems, make architecture decisions, and implement them independently in a lean startup context. ________________________________________ What You’ll Own • End-to-end ownership of AWS cloud infrastructure for a production healthcare platform • Architecture, implementation, and continuous improvement of HIPAA-compliant security controls • Design and maintenance of scalable, secure, and cost-efficient cloud architecture • Definition and implementation of Infrastr...

I am rolling out a new environment that spans Terraform-managed infrastructure, automated Github Actions workflows, and integrations with Snowflake and Mulesoft. The area where I need the most hands-on help is AWS—specifically provisioning, securing, and optimising EC2 instances, S3 storage buckets, and a series of serverless Lambda functions that glue everything together. Here’s the flow I’m targeting: • Terraform drives all resource creation so our stacks remain fully reproducible. • Github Actions handles CI/CD, triggering Terraform plans/applies and Lambda deployments on every merge. • Data exchanged between Snowflake and our micro-services is exposed through Mulesoft APIs running behind AWS resources. What I need from you: a clean, modular Te...

I need a cloud-hosted Linux environment focused on Compute—think clean, reliable virtual machines that I can spin up quickly for day-to-day development and testing. The exact provider is noted in my brief as “linux cloud,” so I’m flexible and happy to follow your recommendation or proceed with whichever platform you feel will deliver the smoothest experience (AWS EC2, Google Compute Engine, Azure VMs, or a comparable service). Here’s what I expect: • A base image (Ubuntu or similar) launched in the cloud and secured with SSH key authentication. • Clear, reusable steps—Terraform, Ansible playbooks, or a straightforward manual guide—for creating, scaling, and tearing down the instances. • Basic hardening: firewall rules, user ma...

Azure Administrator (AZ-104 Required) – Retainer Role About Us We're a small software-focused consultancy. Our core skills are in application development, but we occasionally need guidance on Azure infrastructure, particularly around permissions, networking, and proper deployment practices using infrastructure-as-code. The Role We're looking for an Azure Administrator Associate (AZ-104) certified professional to provide ad-hoc support and associate their certification with our Microsoft Partner tenant. What We Need Help With - Azure permissions and RBAC configuration - Networking setup (VNets, subnets, NSGs, private endpoints) - Infrastructure-as-code deployments (Bicep, ARM templates, or Terraform) - Best practices for production deployments - General Azure architecture...

I'm looking for a developer to build an automated workflow that creates YAML files in our existing GitHub Enterprise (GHE) repository by processing data submitted through a Jira form. The entire system will be deployed on Google Cloud Platform (GCP). Here's a detailed breakdown of what I need: 1. Core Objective To automate the creation of specific YAML configuration files in our GHE repository, triggered by a custom Jira form submission, with the automation hosted on GCP. 2. Technology Stack & Environment · Cloud Platform: Google Cloud Platform (GCP) · Repository: GitHub Enterprise (GHE) - on-premise/private instance · CI/CD/Orchestration: Open to recommendations (Cloud Functions, Cloud Run, or a dedicated Compute Engine instance) · Scripting:...

I’m looking to get a production-ready DevOps foundation in place for a microservices-based product. The immediate priorities are: • CI/CD pipeline setup – automated build, test and deploy flows that can promote services from feature branch to production with minimal manual touchpoints. • Infrastructure as Code – reproducible, version-controlled environments. I’m happy to work with Terraform, CloudFormation or a similar IaC tool if you have a strong preference. • Monitoring & Logging – service-level metrics, aggregated logs and alerting so we can spot issues before users do. Prometheus, Grafana, ELK, or comparable stacks are all acceptable. I will provide access to the cloud accounts and repositories; you bring the expertise to design, ...

I need an experienced AWS DevOps engineer to turn our manually created EC2 instances, S3 buckets, and RDS databases into fully automated, repeatable infrastructure. Infrastructure automation is the only priority at this stage; once that foundation is solid we can layer on any extra CI/CD work ourselves. You’ll translate the current environment into Infrastructure-as-Code, wiring in lifecycle hooks, tags, and sensible defaults so new stacks launch the same way every time. Whether we settle on Ansible, Chef, or Puppet is open for discussion—I’m happy to choose whichever best fits the AWS tooling you prefer to pair it with (CloudFormation, Terraform, CDK, etc.). What matters is that the end result is easy for the team to read, version-control, and extend. Deliverables &bul...

Preciso levar ao ar um MVP que já tem toda a lógica de negócio validada; o desafio agora é engenharia pura. A aplicação deve processar eventos de forma determinística, mitigar riscos e permanecer em produção 24 horas por dia, sete dias por semana, sem intervenção manual. O backend será obrigatoriamente escrito em Python. Fico aberto quanto às demais escolhas de stack, contanto que sustentem uma operação resiliente (por exemplo, containers Docker orquestrados, automação IaC como Terraform e um pipeline CI/CD que inclua testes automatizados, linting e deploy contínuo). Logs centralizados, métricas, alertas e versionamento de infraestrutura são parte d...