We need an expert to configure and integrate OneDesk on-prem with our existing systems. The work includes setting up the on-prem environment, connecting it to our current infrastructure, and ensuring smooth operation after deployment. You should be able to handle configuration tasks, troubleshoot issues, and support the transition from our current setup. Experience with similar on-prem deployments and integration projects is important. This is a part-time engagement for a small project with a clear scope. Specific items include: -Email & OAuth2 configuration with Google Workspace -domain setup & TLS certificate configuration -Automate TLS certificate renewals -EC2 linux instance hardening -AWS S3 integration -Postgres database backup and restoration testing -Troubleshooting linux performance issues

We’re looking for an experienced DevOps Engineer to help us build, maintain, and improve our cloud infrastructure and deployment workflows. Responsibilities - Set up and maintain CI/CD pipelines - Manage cloud infrastructure and production environments - Work with Docker and Kubernetes - Configure and maintain Linux servers - Automate deployments and infrastructure tasks - Monitor system performance, reliability, and availability - Troubleshoot infrastructure and deployment issues - Implement security and best practices for cloud environments Requirements - Strong Linux and networking knowledge - Experience with AWS, Azure, or GCP - Hands-on experience with Docker and Kubernetes - Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins - Familiarity with Terraform or other Infrastructure as Code tools - Good understanding of Git - Strong troubleshooting and problem-solving skills - Good communication and ability to work independently Nice to Have - Experience with monitoring tools such as Prometheus and Grafana - Experience with Ansible - Experience with security, networking, and cloud cost optimization - Experience supporting production applications

We need a Solution Architect to own the technical design and delivery of cloud-based financial analytics pipelines. You will act as the main technical contact for the client’s data engineering team and keep the core transaction pipelines aligned with the risk and reporting interfaces. You will design the architecture on a cloud data warehouse, translate incomplete requirements into clear specifications, resolve open dependencies, and guide the offshore team. Strong experience with medallion architectures, dbt, Airflow, event-driven sources, and data migration projects is required. Client-facing communication skills and the ability to manage delivery risk are essential. This is a full-time ongoing role of more than 30 hours per week at expert rates of $60–$90 per hour.

We are seeking a senior GCP and Node.js infrastructure engineer for an emergency diagnostic audit of our live interactive music bingo platform (Jindo). Our production application logic has been 100% untouched since February 2026, yet over the past week, live shows have begun experiencing severe, game-stopping freezes and WebSocket drops during production events. We need an expert to inspect our GCP configuration, Cloud Logs, and network layers to identify what infrastructure or browser-level environment change triggered these sudden failures. Key Diagnostic Clues & Failure Symptoms: The 45–60 Minute Wall: Failures consistently occur around Round 5 or 6 (approx. 45–60 minutes of continuous play), pointing toward cumulative memory leaks, unclosed database connection pools, or GCP Load Balancer TCP stream timeouts. Socket Disconnects & Desyncs: Host client browsers lose connection to the backend Socket server mid-game, forcing state resets or freezing audio playback. Untouched Application Code: Logic has not changed in 7 months, strongly implicating recent automated GCP runtime patches, CloudSQL connection limits, Load Balancer timeout changes, or Chrome background tab socket-throttling updates. Scope of Work & Deliverables: GCP Log & Metric Deep-Dive: Analyze Cloud Logging and Cloud Audit logs during exact failure timestamps to locate SIGTERM, OOM (Out of Memory), CloudSQL connection exhaustion, or proxy timeout events. Infrastructure Configuration Review: Audit Cloud Run / App Engine, Cloud SQL connection pooling, Redis / MemoryStore, and Cloud Load Balancer TCP keep-alive settings. Root-Cause Diagnostic Report: Provide a clear, actionable summary identifying the exact environmental bottleneck (GCP config vs. runtime leak vs. browser policy) and the immediate fix.

This is a part-time engagement, not a full-time role. The time commitment will vary depending on the project phase, and daily or weekly hours may fluctuate significantly. Some days may require no work or only 1–2 hours, while others may require more support, so flexibility and adaptability are essential. The total engagement is estimated at 180 to 200 hours. We are seeking a senior architect to lead the technical assessment and modernization planning for a legacy Case Management System built on PowerBuilder, Microsoft SQL Server, NAS-based document storage, and multiple internal and external integrations. The architect will assess the current environment, evaluate modernization options, develop conceptual target architecture, define integration requirements, and provide technical inputs for the RFI, future RFP, and vendor evaluation process. The role does not involve application development or implementation.

Senior Azure Platform / DevOps Engineer About Makai Makai uses best-in-class AI and data to solve real-world operational and strategic challenges at scale. We help businesses with enterprise automation, human-machine teaming, product design and development, and market intelligence. Until now, people have had to learn and adapt to software. Makai creates solutions that adapt to people because technology will never be 100% accurate. People are essential for all of our human-machine teaming solutions. About the role We build and run cloud platforms for our clients. A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. You'd own these platforms: design them, build them from an empty subscription, keep them running, and act as the person who actually knows how the whole thing fits together. This is a senior role with a lot of trust attached. The clients differ, the topologies differ, the pipelines differ. What stays constant is Azure and the expectation that you can size up an unfamiliar setup, make the right calls, and own the result. The ideal candidate will be able to Stand up new platforms from scratch: network, compute, data, and the pipeline to ship to them. Make the architecture calls and live with them. That includes knowing when a Terraform change is a safe in-place update and when it's a destroy-and-replace you should never run blind against production. Run migrations that carry real risk. Move a live platform onto a new foundation, read the plan correctly, write the runbook, and have a rollback ready before you start. Keep platforms healthy over time: provider upgrades, drift, security, and not letting a shared foundation rot as more clients land on it. Work directly with the client's own DevOps engineers. Often they're the ones running the apply and you're advising, so you need to explain a plan, unblock a failure quickly, and be someone the engineer holding the keys trusts. Qualifications Azure experience is the hard requirement. You've built and run production Azure yourself, not just used modules someone else wrote. Specifically: Azure networking is where most of the work lives: VNets and subnets, private endpoints and private DNS zones, NSGs and UDRs, NAT, Application Gateway and WAF, load balancers, and hub-and-spoke / Virtual WAN. Terraform on Azure, with state treated as something you respect: workspaces, migrations, imports, remote backends, and the discipline not to force an apply through a lifecycle guard. The delivery path: Azure Container Registry, VM Scale Sets and cloud-init, and CI/CD with Azure DevOps or GitHub. Azure data services: Postgres Flexible Server, managed Redis, Blob storage, and a real sense of their sizing, failover, and cutover risks. Entra ID and RBAC: app registrations, service principals, role assignments scoped properly across subscriptions. Clear writing and a level head on a live call. You can hand someone a runbook they can follow without you in the room. Nice-to-haves Azure certs (AZ-104, AZ-305). Temporal or similar workflow runtimes, and scripting (Bash, Python) for the glue. Past consulting or client-embedded work. You've been the outside expert before. How we work Small senior teams, real ownership. We'd rather have one engineer who understands a platform top to bottom than several who each own a slice. Core values for Makai employees Be a flexible, innovative and creative thinker Be congenial and a team player Be self-sufficient Be self-driven with an ownership mentality Have a strong work ethic

Title: DevSecOps / Platform Security Engineer — Kubernetes, Supply-Chain Security, Accreditation (Contract) Category: DevOps Engineering / Kubernetes / Security Description: We're building a multi-agent AI orchestration platform for defense and mission-critical operations, currently working toward a higher security accreditation level on a hardened government-focused deployment platform. We need an experienced DevSecOps engineer for a contract engagement to harden the platform and move our accreditation evidence pipeline forward. This is an interim, contract-only engagement. We're running a separate process to fill a permanent role, and this project is scoped independently of that. What you'll do: Contribute to our secure release pipeline: automated builds, hardened base images, artifact signing, provenance tracking, and software bill of materials generation feeding a weekly release cycle Harden platform authentication, pod security, and secrets handling Work with container image scanning and software supply chain security tooling Help turn scan results and provenance data into accreditation evidence Work with Kubernetes, Helm, GitOps-based delivery, and infrastructure as code What we're looking for: 5+ years in DevSecOps, platform, or infrastructure engineering Strong production Python experience (API frameworks, CLIs) Deep Kubernetes experience: image hardening, pod security, Helm and GitOps workflows Hands-on CI/CD and software supply chain security tooling experience Nice to have: federal risk management framework or accreditation experience; familiarity with AI agent platforms or agent tool-calling protocols Engagement details: Remote, contract — no security clearance required U.S. work authorization required

Contract / Fractional (part-time, ongoing) This is a strictly hourly engagement. All work will be contracted and paid based on the hourly rate through Upwork and tracked using Upwork’s time-tracking method. We do not offer fixed-price contracts or structure engagements by project, phase, milestone, package, or deliverable. All work is performed and billed hourly. We're a finance and accounting firm that goes beyond advisory: we build financial-insights platforms directly inside our clients' systems. That means we connect to sensitive financial data and construct infrastructure within client environments. We need an experienced security leader. Someone who can define our security standards, validate what we build, and represent our security posture to clients. What you'll do -Own security governance for client deployments: define the standards and parameters required when we build infrastructure inside a client's environment and connect it to sensitive financial data -Assess each client's security requirements and confirm that what we're building meets them -Review code and architecture — you can personally verify that what we build is secure -Provide the framework and the technical guidance for how systems get built securely on our side, including standards for AI-assisted development -Advise on AWS-based deployments: many of our mid-market clients host their servers and infrastructure on Amazon Web Services, and you'll guide how we deploy into those environments -Serve as the client-facing security authority What we're looking for -Senior security leadership experience (CSO, CISO, VP Security, or principal security architect level) -The rare combination this role demands: security expertise + software development fluency + an understanding of finance and controls -Hands-on ability to review code and architecture for security flaws -Strong AWS knowledge, especially how mid-market / medium-sized companies manage their servers and infrastructure -Experience defining security standards for software built and deployed inside third-party (client) environments -Familiarity with SOC 2 -Excellent client-facing communication Nice to have -Experience securing AI-assisted or rapidly developed codebases and setting guardrails for AI-driven development workflows -Background in fintech, financial services, or accounting technology -Prior fractional or consulting security leadership for multiple clients How to apply In your proposal, please include: (1) a specific example of defining security standards for software deployed into a client's or third party's environment (2) your AWS experience with mid-market infrastructure (3) whether you have SOC 2 readiness experience.

Integration Engineer Position Summary We are seeking an Integration Engineer to design, develop, and maintain integrations between software systems and external applications. The ideal candidate has strong software development fundamentals, experience working with APIs and cloud-based applications, and the ability to independently troubleshoot and learn new technologies. Responsibilities Build and maintain software integrations between systems. Develop and consume REST and SOAP APIs. Implement integration workflows based on technical requirements. Develop cloud-based services and applications. Integrate with third-party APIs using various authentication methods. Transform, validate, and map data between systems. Work with JSON, XML, CSV, and other structured data formats. Implement secure file transfer processes when needed. Develop error handling, logging, monitoring, and retry processes. Work with relational databases and SQL. Write unit and integration tests. Participate in code reviews. Troubleshoot technical and integration issues through resolution. Use source control and maintain technical documentation. Work with technical leadership to clarify requirements and identify technical issues. Use AI-assisted development tools to improve development and troubleshooting efficiency. Required Qualifications Professional software development experience or equivalent technical experience. Experience building and consuming REST APIs. Proficiency in at least one backend programming language, such as C#, Python, JavaScript/TypeScript, or Java. Familiarity with a major cloud platform such as Azure, AWS, or Google Cloud. Understanding of HTTP, REST, JSON, and common integration patterns. Understanding of API authentication and authorization. Working knowledge of SQL and relational databases. Experience transforming and validating data between systems. Experience with Git or another source control system. Understanding of software testing, debugging, and error handling. Familiarity with secure software development practices. Ability to learn unfamiliar technologies and APIs independently. Ability to work from technical requirements and specifications. Strong problem-solving and troubleshooting skills. Strong written and verbal communication skills. Preferred Qualifications Experience with API gateway or API management technologies. Experience with OAuth 2.0, OpenID Connect, or mTLS. Experience with cloud-managed databases and cloud storage. Experience with secrets management and managed identities. Experience with application monitoring and centralized logging. Experience with SFTP or other secure file transfer technologies. Experience with asynchronous processing, queues, or event-driven architectures. Experience with CI/CD pipelines and automated deployments. Experience integrating SaaS applications. Experience with EDI/X12. Experience with regulated or security-sensitive environments. Desired Characteristics Self-directed and able to work independently. Quick to learn new technologies and systems. Strong technical curiosity and problem-solving ability. Comfortable working through ambiguity and asking questions when needed. Produces clean, maintainable, and well-documented code. Takes ownership of work from development through testing and troubleshooting. Understands the importance of security, reliability, and data integrity. Comfortable using AI-assisted development tools while independently validating results. Works well with others and is receptive to feedback.

We're a funded NYC fintech startup (pre-seed led by a top-tier Silicon Valley fund) building a rewards-redemption platform that connects banks and card programs to live event and travel experiences. We're integrating with major financial institutions and payment networks now. The work: Own delivery of our MVP against a written PRD: inventory ingestion from supply partners, redemption processing, and fulfillment — production-ready Design and build bank-facing API integrations (rewards platforms, gift-card processors, card networks) Make pragmatic architecture calls for a pre-seed company: ship what proves traction now, defer bank-scale infra until it's needed Work directly with the founder/CEO; communicate timelines in writing and hit them You: 8+ years, with senior/staff/lead experience at a fintech, payments, or marketplace company (Brex/Stripe/Ramp/Plaid-caliber a plus) Have personally shipped production systems handling payments or financial data (tell us which, and your role) Strong across backend + cloud (AWS/GCP), API design, and third-party integration work; comfortable using AI tooling to move fast Startup metabolism: you scope, commit to dates, and deliver without a team around you Engagement: Start ~20 hrs/week contract, structured around 2–3 paid milestones with defined acceptance criteria. Strong performers have a path to a founding-team role with equity. NYC or US-overlap remote (ET timezone required). To apply: In 3–5 sentences, describe the most complex system you shipped end-to-end, your specific role, and how long it took from kickoff to production. Applications without this won't be reviewed.