Integracao Continua Jobs

I need a fully-functional Harness pipeline that covers both Continuous Integration and Continuous Deployment for three distinct environments—Development, Staging, and Production. The goal is to push code from Git through automated build, test, and deploy stages with zero manual touchpoints and clear promotion rules between each environment. Along the way, I want the pipeline to trigger my existing continuous testing suite and publish results inside Harness so release decisions are data-driven. After deployment, success metrics, logs, and alerts must flow automatically into the monitoring and logging stack I already use (Prometheus + Grafana; open to other native Harness integrations if they make life easier). Because this is a configuration-heavy task, I’d like the end result ...

I’m looking for a small, always-on utility that pulls the live option chain for NASDAQ tickers, evaluates custom rules every minute, and shoots me an SMS the moment a rule is met. Here’s a concrete example of what I need it to handle: if the mid-price on the 13 Feb NVDA 170 Put touches $0.40, I want to know right away—no waiting for end-of-day scans. Core expectations • Data source: any reliable real-time feed or broker API capable of delivering full NASDAQ option chains (think Interactive Brokers, Tradier, TD Ameritrade, etc.). • Scan cadence: once per minute, continuously during market hours. • Rules engine: configurable by symbol, expiry, strike, side (call/put) and a target mid-price (≤, ≥, or exact). I’d like to store multiple rule...

We are looking for an experienced DevOps / GitLab CI engineer to design and implement a robust CI/CD setup for a Docker-based application consisting of a backend and a frontend, both living in the same GitLab repository. The goal of this project is to establish a clean, developer-friendly workflow that supports: Automatic internal test deployments (review apps) for feature branches Automated production deployments to a public VPS when code is merged to main This setup should follow GitLab CI best practices, especially GitLab Environments and Review Apps, and be simple for developers to use without requiring manual server access

Our self-hosted GitLab instance has grown quickly and the cracks are beginning to show. I now need a full, end-to-end review of the entire implementation—from the way pipelines are defined to how repositories are organised and, most urgently, how user access is controlled. Current Version - 18.7 Current pain points • Access permissions are inconsistent and hard to trace. • Merge-request approvals don’t always follow our intended flow. • User-role management has become manual and error-prone. Beyond those control issues, I’m sure other inefficiencies have crept in, so I’d like fresh eyes on the entire setup. Scope of work 1. Audit the existing GitLab configuration, including runners, CI/CD pipeline definitions, repository structure and vi...

I’m ready to move our Kubernetes workloads on AWS into a fully automated production-grade release flow and need an expert who can stand up Spinnaker via the Spinnaker Operator to make that happen. Here’s what I’m after: • Install and configure the Spinnaker Operator on an existing AWS-hosted Kubernetes cluster, ensuring all CRDs, accounts and namespaces are in place. • Define a clean, repeatable deployment pipeline that promotes images straight to production once tests pass, complete with rollback logic and automated approvals where necessary. • Wire Spinnaker to the AWS services it needs (ECR, IAM roles, load balancer annotations, etc.) so artefacts and infrastructure are discovered without manual steps. • Document the setup: Helm/​kubectl...

My web application is ready to go; what’s missing is a clean, reliable deployment on AWS. I want the site running on standard-configured EC2 instances—no special hardware or exotic AMIs—inside a secure VPC. You’ll handle everything from spinning up the instance, installing the required runtime and web server, to pulling my code from GitHub (or a private repo I’ll grant access to) and exposing the app over HTTPS. Please configure security groups with the least-privilege approach, set up environment variables, and make sure logs are easy for me to access later. These AWS serviON: ✔ EC2 (1 instance) ✔ EBS ✔ S3 ✔ IAM ✔ CloudWatch (basic) When the work is done I expect: • A live, reachable HTTPS endpoint for the application • SSH access and ad...

Job Description: Scala / Groovy Developer (Maven, Datadog Dashboard) Duration: 4 Hours Budget: ₹600 per Hour Role Overview We are looking for a Scala/Groovy Developer with Maven build experience to support two focused tasks involving application setup and monitoring dashboards. Key Tasks Scala & Groovy with Maven Work on existing Scala and Groovy-based codebase Handle Maven configuration, dependency management, and build setup Ensure smooth compilation and execution of the project Datadog Dashboard Creation Design and configure dashboards in Datadog Visualize key application and system metrics Ensure dashboards are clear, actionable, and aligned with monitoring needs Required Skills Strong hands-on experience with Scala and Groovy Good knowledge of Maven Experience creating and manag...

I want to work with a Jmeter expert freelancer remotely for few hours this weekend. Im beginer to intermediate level with jmeter. I need a reusable JMX file that will let me stress-test our REST API. The flow is straightforward: first, the script must obtain an OAuth 2.0 access token and keep it available for every subsequent sampler; next, it should hit the file-upload endpoint and push a sample CSV using multipart/form-data. Please capture all correlation values (token, upload IDs, etc.) with regular expressions or JSON extractors so the run can scale with multiple virtual users. The test plan has to be cleanly organised with clear naming, user-defined variables for host, credentials, and file path, and a separate thread group ready for ramp-up tuning. Deliverables • A JMX f...

During the next 6–9 months we’ll be working with a Chinese OEM that is adding several key capabilities to its new 4G/5G router line: higher data-throughput paths, richer network-management options, and extra data interfaces such as serial ports and general-purpose I/O. All new code must interoperate with the OEM’s own proprietary protocols, so every build needs to be exercised against their closed, in-house stacks. Our immediate need is rigorous quality-assurance and debugging support throughout the development cycle. Your job is to design and run repeatable tests and make sure we meet customer's objective, and feed concise feedback and bug reports to the factory team. Expect iterative rounds of validation on both bench setups and pre-production hardware. Once the ...

I need an experienced engineer to analyze and improve a high-demand online booking workflow so bookings can succeed reliably even under extreme traffic. I already have a working Playwright-based browser automation, but during peak demand all sessions currently land on a “high demand / unavailable” state. The goal is to improve success rate through deeper system understanding, better timing, and smarter flow control . The work involves analyzing booking flow and state transitions, understanding how availability actually appears during high demand (including delayed or staggered releases), improving timing, retries, waiting strategy, and navigation logic, eliminating race conditions and aborted navigations, and designing the automation to be long-running, reactive, and resilient ...

I need a set of Microsoft Sentinel runbooks that fully automate my incident-response cycle—from the moment an alert fires to final remediation and closure. The focus is on three pillars: incident detection and alerting, threat analysis and investigation, and the remediation / recovery actions that follow. Here’s how I see the flow. A Sentinel analytics rule or hunting query triggers a playbook; the runbook enriches the alert (pulling entity data, VirusTotal, MDE, or similar), pivots into investigation steps (querying logs via KQL, checking asset tags, validating IOC reputation), and, when conditions are met, executes containment or cleanup (isolating endpoints, disabling accounts, blocking IPs, creating a ticket, and updating the incident status in Sentinel). Deliverables &...