Freelance DevOps Engineers in BrooklynFreelance DevOps Engineers in Brooklyn
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Joseph Joseph's avatar
Joseph Joseph
Brooklyn, USA
Linux, DevOps & GitHub Actions Engineer
New to Contra
Linux, DevOps & GitHub Actions Engineer
Cover image for Linux Fleet Readiness: Risk Audit & Decommission Planning
Linux Fleet Readiness: Risk Audit & Decommission Planning
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1
Cover image for Legacy LAMP Server Migration: Ubuntu 14.04 to 24.04
Legacy LAMP Server Migration: Ubuntu 14.04 to 24.04
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1
Cover image for Guarded Fleet Change: Policy-Gated Ansible Rollouts
Guarded Fleet Change: Policy-Gated Ansible Rollouts
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1
Cover image for I built a Python CLI
I built a Python CLI that statically reviews GitHub Actions workflows for security and reliability risks. It detects excessive permissions, mutable action references, unsafe shell interpolation, privileged pull-request patterns, missing timeouts and concurrency controls, OIDC boundary concerns, and broad secret inheritance. The project includes 10 focused audit rules, human-readable and JSON output, CI-friendly exit codes, synthetic before-and-after workflows, 11 unit tests, and its own hardened GitHub Actions pipeline. The auditor does not execute workflow code, and all examples are public and synthetic.
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115
DevOps Engineer(5)
Christian Tejada's avatar
Christian Tejada
maxNew York, USA
Software Development Expert, 13+ yrs exp
    $500k+
    Earned
    13x
    Hired
    5.0
    Rating
    139
    Followers
TOP_INDEPENDENT

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Software Development Expert, 13+ yrs exp
Cover image for Mike Token: Not just a Memecoin, Mike is more..
Mike Token: Not just a Memecoin, Mike is more..
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76
Cover image for Regdex: Fintech Regulatory Futures Index
Regdex: Fintech Regulatory Futures Index
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10
Cover image for WhatAreWeWearing: Social Shopping Meets AI
WhatAreWeWearing: Social Shopping Meets AI Styling WhatAreWeWearing is a social fashion platform designed around a question everyone has asked before an event: “What are we wearing?” I helped bring the concept to life as a polished mobile experience where discovering an outfit, getting personalized recommendations, and planning what to wear becomes collaborative instead of overwhelming. At the center of the experience is Poppy, an AI-powered personal stylist that helps users discover looks based on the occasion, aesthetic, size, budget, and other preferences. Rather than endlessly scrolling through products, users can describe what they need and receive relevant outfit inspiration from brands available throughout the platform. The app goes beyond traditional fashion discovery by making shopping genuinely social. Users can create events, build moodboards and look books, save their favorite pieces, invite friends, share recommendations, and coordinate outfits together. Integrated brand discovery also makes it easy to move from inspiration to shopping without leaving the experience. The result is a fashion platform that combines AI-assisted styling, social planning, event coordination, and e-commerce discovery into one cohesive mobile product, turning outfit planning into something users can actually enjoy with their friends. Services: Mobile App Development · AI Integration · UI/UX Implementation · Social Features · E-Commerce Integration · Event Planning · iOS Development
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163
Cover image for BabySOS: Childcare On Demand BabySOS was
BabySOS: Childcare On Demand BabySOS was built to solve one of the most stressful problems parents face: finding reliable childcare exactly when they need it. I developed a complete on-demand childcare marketplace that connects parents with vetted caregivers for both planned bookings and last-minute SOS requests. The platform supports two distinct experiences within one ecosystem. Parents can create their family profile, search for caregivers, review experience and qualifications, communicate directly, manage bookings, and request immediate childcare through the SOS system. Caregivers can build professional profiles, manage their availability and bookings, communicate with families, and track earnings and payouts from a dedicated dashboard. A major focus of the project was making a fairly complex marketplace feel incredibly simple on mobile. The interface was designed around trust, speed, and accessibility, with clear booking flows, caregiver profiles, real-time communication, location-aware discovery, payments, and an emergency-style childcare request experience that allows parents to find available help quickly. The result is a polished iOS platform that brings discovery, booking, communication, payments, caregiver management, and on-demand childcare into one cohesive product. Services: Mobile App Development · Marketplace Development · UI/UX Implementation · Payments · Location Services · Real-Time Features · iOS Development
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162
DevOps Engineer(1)
Moses NJUGUNA's avatar
Moses NJUGUNA
New York, USA
Avid Software Engineer, Data Engineer and Technical Writer
New to Contra
Avid Software Engineer, Data Engineer and Technical Writer
Cover image for I recently built an interactive
I recently built an interactive Power BI sales dashboard tracking $17.91M in total sales across supervisors, managers, and order years. I then designed the data model and DAX measures behind the KPI cards, gauge, and trend visuals, and built drill-down views: sales by supervisor and year, quantity split by manager, and order volume by year. I used combo visuals (donut, gauge, bar, and line charts) on one page so stakeholders can get the full picture without switching reports. I also focused on a clean, single-screen layout that non-technical stakeholders can read at a glance. #Microsoft Power BI #Daxko Operations #Data Visualization #Data Modeling #Business Intelligence
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Cover image for Data, AI, Software, Technical Writing 𝗬𝗢𝗨𝗥
Data, AI, Software, Technical Writing 𝗬𝗢𝗨𝗥 𝗦𝗔𝗟𝗘𝗦 𝗗𝗔𝗧𝗔 𝗔𝗟𝗥𝗘𝗔𝗗𝗬 𝗞𝗡𝗢𝗪𝗦 𝗪𝗛𝗜𝗖𝗛 𝗖𝗨𝗦𝗧𝗢𝗠𝗘𝗥𝗦 𝗔𝗥𝗘 𝗔𝗕𝗢𝗨𝗧 𝗧𝗢 𝗟𝗘𝗔𝗩𝗘. Most owners check that money came in. Few ask what the numbers say about next month. I ran a 90-day Dead Stock Check on Horti Supplies data (about $14,500 in sales). In plain sight: 👤 𝟲 𝗼𝗳 𝘁𝗵𝗲 𝘁𝗼𝗽 𝟮𝟱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝘀𝘁𝗼𝗽𝗽𝗲𝗱 𝗯𝘂𝘆𝗶𝗻𝗴: about $550 a month walking away. $𝟵𝟰𝟬 𝘀𝘁𝘂𝗰𝗸 𝗼𝗻 𝘁𝗵𝗲 𝘀𝗵𝗲𝗹𝗳 - 8 products unsold for 30 to 83 days made 2.4% of sales but held 22% of stock value. 📉 𝗧𝗵𝗲 𝟯𝗿𝗱 𝗯𝗲𝘀𝘁-𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗿𝗮𝗻𝗸𝗲𝗱 𝟮𝟭𝘀𝘁 𝗳𝗼𝗿 𝗽𝗿𝗼𝗳𝗶𝘁. 🕑 𝗧𝗵𝗿𝗲𝗲 𝘀𝗹𝗼𝘄 𝗮𝗳𝘁𝗲𝗿𝗻𝗼𝗼𝗻 𝗵𝗼𝘂𝗿𝘀 - brought in 7% of sales; rent and staff costs didn’t drop. 𝗧𝗿𝘆 𝘁𝗵𝗶𝘀 𝘁𝗼𝗱𝗮𝘆 (𝟭𝟬 𝗺𝗶𝗻𝘂𝘁𝗲𝘀, 𝗻𝗼 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲): export last month’s sales, sort by profit, and circle anything that earned almost nothing but took up shelf space. 𝗧𝘄𝗼 𝘄𝗮𝘆𝘀 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽: 1️⃣ 𝗧𝗵𝗲 𝗗𝗲𝗮𝗱 𝗦𝘁𝗼𝗰𝗸 𝗖𝗵𝗲𝗰𝗸: send one month of sales data (names removed is fine) and get a one-page report on where cash is stuck, which customers are drifting, and 3 actions for this week. 🎁 The first 10 get it free, in return for sharing the anonymised result as a case study. 2️⃣ 𝗖𝗼𝗺𝗶𝗻𝗴 𝘀𝗼𝗼𝗻, 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗟𝗼𝗼𝗽: upload a CSV or SQL export and get a named diagnosis (Customer Churn, Dead Stock, Demand Forecast) plus a visual report. 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 “𝗖𝗛𝗘𝗖𝗞” 𝗳𝗼𝗿 𝗮 𝗳𝗿𝗲𝗲 𝗗𝗲𝗮𝗱 𝗦𝘁𝗼𝗰𝗸 𝗖𝗵𝗲𝗰𝗸, 𝗼𝗿 “𝗟𝗢𝗢𝗣” 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗟𝗼𝗼𝗽 𝘄𝗮𝗶𝘁𝗹𝗶𝘀𝘁. I’m Moses, a data engineer and founder of Closertune. Do you know an owner who says, “Sales are slow, but I don’t know why”?
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Cover image for Building the technical foundation for
Building the technical foundation for Otonix, an AI-native IT Operations Platform I worked on the engineering side of Otonix, an autonomous IT operations platform built on agent-first, task-specific AI agents that monitor, triage, remediate, and escalate IT operations, instead of a chatbot bolted onto legacy RMM/PSA tooling. What the build involved: 🔹 Architecting the platform around four core agent capabilities: Monitor, Triage, Remediate, and Escalate. 🔹 Building the policy-guardrail layer that constrains automated actions and gates anything touching regulated systems or irreversible changes. 🔹 Implementing the audit trail: a signed, searchable, exportable log of every agent decision and action. 🔹 Working with a signal-ingestion pipeline (endpoints, servers, network, IoT) feeding into the triage/remediation flow. Python/FastAPI, Node.js, React, PostgreSQL, Docker, n8n, Kubernetes I build backend systems and full-stack platforms for technical products. Especially where reliability, auditability, and guardrails matter as much as the automation itself. If you're building something in a similar space, let's talk. 📩 mosesmorrisdev@gmail.com | github.com/Moses-Morris
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Cover image for This is a web design project for an Institution.
This is a web design project for an Institution.
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DevOps Engineer(1)
Effaxon Inc's avatar
Effaxon Inc
proNew York, USA
Custom tools and automation for wasteful processes.
    5.0
    Rating
    1
    Followers
Custom tools and automation for wasteful processes.
Cover image for TenantFlow
TenantFlow
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1
Cover image for ScholarForge Development: AI-Assisted Academic Writing Platform
ScholarForge Development: AI-Assisted Academic Writing Platform
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1
Cover image for Development of MarginGuard Platform
Development of MarginGuard Platform
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1
Cover image for ExperimentOps Development for Experiment Lifecycle Management
ExperimentOps Development for Experiment Lifecycle Management
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0
DevOps Engineer(1)
Samuel Abasah's avatar
Samuel Abasah
New York, USA
Full Stack Developer
Full Stack Developer
Cover image for Fullstack Web Application Development
Fullstack Web Application Development
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7
Cover image for Terminal CV
Terminal CV
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6
Cover image for Signl.tech
Signl.tech
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10
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