Kubernetes işler

Merhaba iyi günler , Karmaşık düşüncelere sahibiz bu konuda yardıma ihtiyacımız var, bir mmorpg oyunu için oyun sunucusunu kapatmadan tüm sistemlerde anlık güncelleme vermek istiyoruz dockerize edilmiş dosyalara sahibiz ama diğer konularda biraz eksiğimiz var.. Yani özetle tek istediğimiz şey ; oyun sunucusunu kapatmadan oyun içerisinde bulunan tüm oyuncuların oyundan düşürmeden anlık güncellemeler verebilmek ve düzeltmeler yapmak istiyoruz.. Benimle iletişime geçmekten çekinmeyin ; discord: hexe8110

Projeyi instagram ın aynısını yazıyoruz gibi düşünebilirsiiniz. Aynı hızlarda veri akışına ihtiyacımız var. Sadece Backend konusunda çok deneyimli ekip arayışındayız. (Mobil yazılım ekibimiz vardır) Proje gereksinimleri ; SQL Server Docker microservice mimarileri MVC mimarisine hakim, Jquery konusuna hakim Devops konusuna hakim Test driven development konusuna hakim Kubernetes configürasyonları konusuna hakim ** Lütfen en az 3-4 kişilik profesyonel ekipler başvursun. ** 3 milyon kullanıcıya göre test leri yapılmalı. ** Linkedin - Tihasa Yazılım ve Bilgi Teknolojileri Ltd Şti.

Çeşitli Kubernetes konularında çözümlerin açıklandığı tanıtım/tutorial/doküman/use-case/şemaların yazılması ve bunların wiki veya blog içerisinde yayınlanacak şekilde hazırlanmasını bekliyoruz. Wiki/Blog için Örnek Konular: -Service Mesh -Kubernetes Networking -Kubernetes Federation -Distributed Storage -Multi-Cluster Orchestration -AI Orchestration -GitOps -CI/CD -Security -Telemetry-Performance Management

...(AES-256 at rest, TLS 1.3 in transit), and made available for remote access from a web console. Zero-root, zero-popup, and zero-battery-drain are non-negotiable. How the platform should feel Think managed SaaS: multi-tenant, horizontally scalable, sub-second ingest for at least 10 000 concurrent devices, with an intuitive dashboard for live device views and remote commands. I am comfortable with Kubernetes, Terraform, and a micro-service approach (Go, Node, or Java), but you can propose an alternative stack as long as latency targets are met and the code base is clean, testable, and fully documented. Deliverables • Android 14 agent (Kotlin/NDK) that survives reboots, Play Protect scans, and OS upgrades, auto-updates itself, and streams app usage, keystrokes, and locati...

...Widgets für Token-Kauf, Altersprüfung, DRM, Lovense Control Projektmanagement & Dokumentation: Storyboards, technische Dokumentation, Deployment Guide Technologien & Infrastruktur: Backend: Node.js / Python / Go Frontend: React / Datenbanken: PostgreSQL, MongoDB, Redis, S3/IPFS Cloud: AWS / GCP / Azure API Gateway: REST / GraphQL, JWT, Rate-Limiting DevOps: GitHub Actions, Docker, Kubernetes, Monitoring (Grafana, Prometheus, Sentry) Lieferumfang: Inkl. Upload. Vollständiger Quellcode Architektur- & technische Dokumentation Token- & Payment-System Dokumentation Deployment-Anleitung Projektmanagement-Dokumente (Notion/Trello/Sheets) Besondere Anforderungen: Modulares Design für spätere Aktivierung von Live-Streaming AR/VR. Alle Modu...

...applications on Kubernetes clusters. Configured and maintained CI/CD pipelines using GitHub, enabling automated build, test, and deployment processes. Ensured application security, performance tuning, and exception handling across services. Collaborated with cross-functional teams, including QA, DevOps, and UI teams in an Agile/Scrum environment. Actively participated in code reviews, debugging production issues, and improving system reliability. SOFTWARE ENGINEER Jan 2024- March 2025 ICICI BANK Java Full Stack Developer with hands-on experience in building scalable microservices-based applications for ICICI using Java and Spring Boot. Skilled in implementing event-driven architectures with Kafka, performance optimization using Redis, and deploying containerized services with Doc...

...languages; switching between them mid-call when required. • Visual conversation builder, intent/utterance manager and analytics dashboard (calls, transcripts, conversion metrics). • REST/GraphQL APIs and webhooks that let external CRMs or ticketing tools trigger or receive calls. • Campaign scheduler for outbound lead outreach, including DNC compliance and retry logic. • Deployment on cloud (Kubernetes or serverless) with CI/CD hooks so features can roll out without downtime. • Source code, documentation and a short hand-off session are part of the final package. Acceptance criteria 1. A demo tenant can be created in under two minutes. 2. Inbound call from a TeleCMI DID is answered in the correct language and routed through at least one bra...

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I need a Rea...roles for seekers and providers plus a shared onboarding flow. 3. Job posting and application modules wired to real-time updates ( or your preferred method). 4. Google API integration for address autocomplete, distance calculations, and map display. 5. Scalable architecture (component-based code, clear state management—Redux, Zustand, or similar—and an API layer ready for Docker/Kubernetes or modular cloud functions). 6. Clean, well-documented code and a short handover video so my small team can extend the project later. I’ll provide the template license, basic brand colours, and hosting. You bring the React expertise, solid API wiring, and an eye toward future features like payments or reviews. If that sounds straightforward to you, let&rsq...

Building a transparency-first suppl...Writing chaincode that covers inventory tracking logic, granular smart-contract rules, and supplier verification workflows. • Issuing “blockpassports” as on-chain NFTs so each batch or asset carries a tamper-proof identity that follows it through the chain. • Exposing REST or gRPC endpoints so my existing ERP can push and pull data without friction. • Packaging the setup (docker compose / Kubernetes scripts and concise README) so the network can be rebuilt or scaled quickly. I have diagrams of the process flow and a list of data fields ready to share once development starts. Clean, commented code and brief runbooks are the acceptance criteria; if I can spin up the network, push sample data, and read an end-to-en...

...Demonstrated experience running HIPAA-compliant production systems • Strong background in cloud security architecture (encryption, IAM, least privilege, audit logging) • Extensive experience with Infrastructure as Code • Proven experience designing and operating CI/CD pipelines at scale • Strong Linux systems and troubleshooting skills • Experience with containerized workloads (Docker, ECS/EKS, Kubernetes preferred) • Ability to work independently and make high-quality architectural decisions ________________________________________ Strong Plus • Prior experience as a lead DevOps engineer or solo infrastructure owner • Experience working with startups or early-stage products • Familiarity with SOC 2, ISO 27001, or similar frameworks &b...

I need Istio installed and fully bootstrapped on a Kubernetes cluster running v1.22+. The cluster is already up, workloads are clean, and kubectl access is in place; what’s missing is a well-structured service mesh. Scope • Plan the deployment approach (istioctl or Helm) and outline any prerequisites I must prepare on the cluster. • Install the latest stable Istio release, enable automatic sidecar injection, and create a basic ingress gateway that can be expanded later. • Validate the installation with the built-in sample tests so we know the control plane is healthy. • Hand over the manifest files / Helm values you used, plus a short README so I can rerun or modify the setup confidently. Acceptance The job is done when the mesh shows all core c...

I need a Google Kubernetes Engine (GKE) platform engineer to both set up an initial cluster and manage an existing one. The primary goal is to scale the infrastructure. Key requirements: - Expertise in GKE and Kubernetes - Experience with infrastructure scaling - Skills in cluster setup and management - Familiarity with monitoring and optimizing performance Ideal candidates should have a strong background in cloud services and Kubernetes management.

...Freelance Corporate Trainer/ Architect / Consultant required for the below RHOCPv with IBM Fusion HCI – Complete Training Curriculum Module 1 — Foundations 1.1 Introduction to OpenShift Virtualization (RHOCPv) What is OpenShift Virtualization (VMs running side‑by‑side with containers on OpenShift) Benefits: simplified VM lifecycle, unified management, improved time-to-production Managing VMs as Kubernetes resources VM migration, networking, storage overview Core resource: OpenShift Virtualization Technical Overview (DO016) 1.2 IBM Fusion HCI Overview Fusion HCI as a hyperconverged OpenShift appliance (“OpenShift in a box”) Bare metal nodes Built‑in HA Software‑defined storage Integrated networking and redundancy Operator‑based lifecycle management (&ldq...

...Freelance Corporate Trainer/ Architect / Consultant required for the below RHOCPv with IBM Fusion HCI – Complete Training Curriculum Module 1 — Foundations 1.1 Introduction to OpenShift Virtualization (RHOCPv) What is OpenShift Virtualization (VMs running side‑by‑side with containers on OpenShift) Benefits: simplified VM lifecycle, unified management, improved time-to-production Managing VMs as Kubernetes resources VM migration, networking, storage overview Core resource: OpenShift Virtualization Technical Overview (DO016) 1.2 IBM Fusion HCI Overview Fusion HCI as a hyperconverged OpenShift appliance (“OpenShift in a box”) Bare metal nodes Built‑in HA Software‑defined storage Integrated networking and redundancy Operator‑based lifecycle management (&ldq...

...testing, and a cut-over plan with minimal downtime. Once live, we’ll run validation tests together to confirm logins, database reads/writes, API responses, and front-end interactions all work flawlessly. It should be deployed on stackit.com. Please share examples of previous full-stack migrations you’ve handled, the tooling you prefer for data replication and web app deployments (e.g., Docker, Kubernetes, CI/CD pipelines), and your proposed timeline....

I run several workloads on Azure Kubernetes Service and the monthly compute bill has started to creep up. I want a seasoned Azure practitioner to review the way my cluster is consuming compute, with a particular emphasis on how we monitor resource usage. At the moment we rely on the default metrics surfaced in the portal, but that only tells part of the story. Your job is to examine my existing AKS node pools, pod scheduling, and any horizontal or vertical scaling rules, then design a concrete optimisation plan. I am specifically interested in: • Setting up or refining a robust monitoring stack (Azure Monitor, Prometheus, Grafana, Metrics-Server—whichever combination makes most sense) so I can see at a glance which nodes or pods are consistently under- or over-provi...

I’m running several API services on an Azure Kubernetes Service cluster, all installed through Helm. They currently sit behind a single public hostname (), but every deployment is exposed on the same root URL, so traffic isn’t reaching the correct service. I need the charts and ingress definitions refactored so a request to • • • … is routed to its matching service, while an IP-based rule set determines who can reach each path. The job covers: – Updating or creating Helm charts/values so each release gets its own path-based entry. – Configuring an Ingress controller (NGINX, AGIC or another option you prefer) to implement the path rules plus the IP allow/deny lists I’ll provide. – Verifying everything inside...

...architecture Build authentication, authorization, and permissions (RBAC) Own data models, schema design, and storage decisions Ensure platform reliability and scalability ☁️ DevOps & Infrastructure Design cloud infrastructure (AWS / GCP / Azure) Own deployments, CI/CD, and environment management Implement monitoring, logging, alerting, and observability Manage containers, serverless, or Kubernetes (as needed) Optimize cloud costs and system performance Technical Leadership Set technical vision and roadmap Make fast, pragmatic architecture decisions Establish coding standards and best practices Hire and mentor future engineers (when the time is right) Represent technical strategy to founders, investors, and enterprise clients What You Are (This Matters) You a...

...(Let’s Encrypt), free subdomain + custom domains, centralized logs, enforced resource limits per app, and basic billing/plan enforcement (Stripe or mocked). Supported apps: Static sites (HTML/CSS/JS), Node.js apps (Express or server mode), PHP apps (WordPress, basic Laravel). This is a backend / platform engineering role. Minimal frontend work. You must be comfortable with Linux, Docker, Kubernetes (internal only), NGINX/reverse proxies, CI/CD, Git workflows, TLS automation, and multi-tenant security. Users must never access infrastructure. Success: User connects Git repo, pushes code, platform auto-builds and deploys, app is live with HTTPS, no manual DevOps steps, limits enforced, platform stable for beta users. Important: Scope is strict. No cPanel, shared hosting, FTP,...

...that I built locally on my MacBook in Visual Studio Code. The code is ready to share; what I need now is a clean Docker workflow that will let the whole stack run reliably online and be pushed to my existing host. I already pay for a shared-hosting plan, but I’m unsure whether that plan allows Docker containers. So the first step is to inspect what my provider offers (SSH access, custom images, Kubernetes add-ons, etc.) and confirm whether container deployment is possible. If it is, we’ll proceed straight to building and publishing the image. If not, I’ll rely on your guidance about the most painless upgrade path (add-on container service, managed VPS, or similar) and will move forward with your recommended option. Deliverables • Production-ready Dockerfi...

...the list, I’m happy to integrate any additional layers you recommend—be it two-factor prompts, data-at-rest encryption, or token-based session hardening—so long as they don’t compromise usability. Technology environment Choose the stack you know you can harden and scale—Java/Spring Boot, .NET Core, Node.js with TypeScript, or a comparable enterprise-grade framework. Containerisation (Docker, Kubernetes), automated CI/CD, RESTful or gRPC APIs, and a relational database with ACID guarantees (PostgreSQL, Oracle, or similar) are expected. Cloud deployment on AWS or Azure is preferred, but an on-prem option can be discussed if it better supports compliance. Deliverables • MVP with fully functional account management and secure transaction workf...

...trazabilidad * concurrencia * escalabilidad El ecosistema tecnológico está compuesto por: * **Dos sistemas independientes**: * Marketplace (frontend + backend) * Panel Administrativo / Backoffice (frontend + backend) * Un **Backend Common transversal**, compartido * Un **microservicio exclusivo e independiente** para la **Sala de Subasta en tiempo real** * Infraestructura en **OVH Cloud**, con **Kubernetes** y **Terraform** La arquitectura es **híbrida**, basada en: * Monolito Modular * Microservicio * Arquitectura Hexagonal (Ports & Adapters) * Domain-Driven Design (DDD) Las capas obligatorias del sistema son: * Domain * Application * Infrastructure * Presentation Lema del proyecto: Si no se va a hacer con excelencia, mejor no hacerlo. --- ...

...out under Kubernetes via Helm, and already includes a basic monitoring and evaluation loop. Right now the bottleneck is accuracy—specifically the relevance of each answer. I have a fresh batch of curated domain data ready for ingestion, and I’d like that folded into the workflow along with any architecture or hyper-parameter tweaks that further sharpen responses. Key focus areas for today (hard deadline: 7 pm): • Integrate the new dataset, run a quick SFT/LoRA refresh, and redeploy the updated weights to the private Hugging Face repository. • Tune retrieval strategy and analyst prompts so returned answers stay laser-focused on context. • Profile the FastAPI inference layer, tighten any latency introduced by the new model, and ensure horizontal sc...

This is a complete end-to-end ...regression, sanity, and smoke testing • Verified UI behavior, flows, and edge cases • Identified and fixed bugs before production readiness DevOps & Infrastructure: • Created Dockerfile for containerizing the application • Built and optimized Docker images • Designed Kubernetes deployment and service manifests • Deployed the application using Kubernetes (k8s) • Applied production fixes and configuration improvements • Managed build, run, and deployment lifecycle Tools & technologies used: • , Node.js • Docker, Kubernetes • Git & GitHub • Linux • CI/CD concepts and deployment best practices This project demonstrates my ability to handle development, testing, ...

...logs are currently landing in cloud storage as raw Kubernetes logs. The task is to move those logs into Grafana and surface the insights I actually care about—request metrics, error rates, resource usage, average response time, plus the 90th and 95th percentiles. The workflow I picture is straightforward: pull the existing log files from the storage bucket, transform or enrich them if required, then feed them into Grafana using whichever data-source plugin (prometheus , Promtail, Loki, InfluxDB, etc.) makes the most sense. Once the pipeline is stable, craft a set of Grafana dashboards that break out each metric clearly and update in near-real-time. Deliverables • End-to-end ingestion pipeline from the cloud bucket holding the Kubernetes logs into Grafana &...

...want to sharpen my real-world skills through live, screen-shared sessions in Visual Studio Code—no slide decks, just practical lab work. My immediate focus is automating CI/CD pipelines in Azure DevOps, covering Integration and Deployment, Testing and Monitoring, plus Security and Compliance best practices. The current stack already runs on Azure DevOps with workloads containerised in Azure Kubernetes Service (AKS), so every example we build should reflect that environment. I would like you to pair-program with me while we: • Craft end-to-end YAML pipelines that build, test, scan, and deploy to AKS • Write repeatable Terraform modules for secure infrastructure provisioning and updates • Automate secrets handling and policy enforcement within the pipe...

...and in transit are secure. Operational visibility is essential: Prometheus for metrics, Grafana dashboards with alerting to Slack/email, and log aggregation through CloudWatch (or an equivalent cloud-native stack). Deliverables • Migration script and verified repository in Azure Repos • Azure DevOps pipeline definitions with build, test, and deploy stages • Dockerfiles plus Helm charts/Kubernetes manifests for every service • Highly available EKS cluster with autoscaling and blue/green deployments • RDS/Aurora configuration with automated backups and monitoring • End-to-end security hardening (IAM, KMS, network policies) • Complete Prometheus/Grafana monitoring stack and alert rules • Knowledge-transfer session and hand-off ...

build azure, gitlab or github pipelines azure cloud onprem vm kubernetes terraform bicep

...depending on approach) 3) Scale Hardening: Connection Pooling (The “GCP Ghost”) At 20,000 users, even 1% active concurrently (~200 users) can cause a standard Postgres setup to hit connection limits. Add to scope (required): Implement connection pooling using PgBouncer (or equivalent) to prevent connection spikes from causing downtime. PgBouncer may be deployed as: a sidecar container in Kubernetes, OR Cloud SQL-compatible approach (proxy + pooling layer), depending on architecture. Goal: app must handle bursts of concurrent users without 503 errors due to DB connection exhaustion. Deliverable: documented pooling configuration + confirmed max connection behavior under load. 4) Framework Integration: Memory Retrieval + Windowing (Token Efficiency) “Pers...

...concepts to non-technical stakeholders. Bachelor's or Master's degree in Computer Science, AI, or a related field. Preferred Qualifications Prior experience in travel, hospitality, or e-commerce industries, with AI applications for personalization, demand prediction, or customer service automation. Familiarity with agile methodologies and tools for rapid prototyping (e.g., Jupyter, Docker, Kubernetes). Track record of delivering AI projects from vision to production in under 3-6 months. Certifications in AI/ML (e.g., Google Professional Machine Learning Engineer, AWS Certified Machine Learning). Work Arrangement Fully remote position, open to contractors worldwide. Contract duration: 6-12 months initially, with potential for extension based on project needs. Flexibl...

Building a transparency-first suppl...Writing chaincode that covers inventory tracking logic, granular smart-contract rules, and supplier verification workflows. • Issuing “blockpassports” as on-chain NFTs so each batch or asset carries a tamper-proof identity that follows it through the chain. • Exposing REST or gRPC endpoints so my existing ERP can push and pull data without friction. • Packaging the setup (docker compose / Kubernetes scripts and concise README) so the network can be rebuilt or scaled quickly. I have diagrams of the process flow and a list of data fields ready to share once development starts. Clean, commented code and brief runbooks are the acceptance criteria; if I can spin up the network, push sample data, and read an end-to-en...

...implementation of an observability solution based on widely adopted open-source components, covering: - Infrastructure and container metrics - Centralized logs with retention - End-to-end distributed tracing - Correlation between metrics, logs, and traces - Data persistence even after container failure or recreation The solution should run entirely via Docker Compose, without dependency on Kubernetes or external managed services, suitable for small/medium-sized development, staging, and production environments. The observability stack will consist of: - Prometheus for metrics collection - Node Exporter for VPS metrics (CPU, memory, disk, network) - cAdvisor for Docker container metrics - Grafana as a unified visualization layer - Loki for log aggregation and storage - Promtai...

I need a seasoned DevOps engineer to take a green-field microservices application all the way from code to production on AWS. The core of the assignment is threefold: stand up a resilient Kubernetes environment, wire it into GitLab CI for automated build-test-deploy flows, and layer in robust monitoring from day one. Here’s how I picture the engagement progressing: • Kubernetes on AWS – whether you lean on EKS or a fully-managed kops setup, the cluster must be production-ready with auto-scaling, self-healing nodes, and sensible IAM roles. • GitLab CI pipelines – every commit should trigger unit tests, container image builds, vulnerability scans, and a staged rollout to dev, staging, and prod namespaces with clear promotion gates. • Monitor...

...the server on an as required basis - Ongoing monitoring and maintenance of my sites on the server - Ensuring security and compliance - Managing performance monitoring and automated backups - Handling migration tasks and order fulfillment - Addressing management tasks as they arise Ideal skills and experience: - Proficient in Cloud Hosting Architect & Platforms -Experience of HA Architecture, Kubernetes, Dockers, Windows Server set up and configuration, Virtual Machines, Pods, CI/ CD... - Extensive experience in server administration - Strong knowledge in security protocols - Excellent expertise in cloud monitoring and maintenance software installation - Prior experience with performance monitoring and automated backups - Capable of handling migrations and unexpected managem...

I need a small Helm-based workflow that handles Kubernetes image-pull secrets for workloads hosted in Docker Hub. The chart should be able to create a brand-new secret when none exists and also detect, patch, or replace an existing secret if I supply one—essentially both creating and managing the secret lifecycle. Updates will be triggered manually, so no periodic rotation logic is required; I simply want a reliable set of templates and README instructions that I can run with a single helm upgrade to refresh credentials whenever I choose. Please deliver: • Helm chart (Helm 3 format) with supporting username, password, and optional e-mail • Templates for secret and an imagePullSecrets reference that can be toggled on/off per deployment •

Responsibilities We are seeking a skilled and dedicated Senior Azure Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and managing Azure solutions, with an emphasis on landing zones...and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. Azure certifications such as AZ-104, AZ-204, AZ-305, or similar are required. Ability to work independently and collaboratively in a fast-paced environment. Preferred Skills Experience with other cloud platforms such as AWS or Google Cloud. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with CI/CD pipelines and DevOps practices. Strong problem-solving skills and attention to detail. Ability to adapt and learn new technologie...

...- System Architecture: Experience building scalable, distributed systems - Security & Compliance: Zero-knowledge encryption, GDPR/CCPA compliance, secure credential management Highly Desired - Experience with email automation and parsing (SendGrid, Mailgun) - CRM integration experience - Project management tool integrations (Trello, Asana APIs) - Containerization and microservices (Docker, Kubernetes) - Message queue systems for agent task distribution - Real-time data synchronization - Advanced search and filtering capabilities We need a development team that can: 1. Evaluate & Refine: Review our comprehensive PRD and source documents, provide expert feedback, and help refine the technical approach 2. Architect & Plan: Design the system architecture, identify tec...

...content I publish must go beyond surface-level commentary to genuinely educate an expert audience on emerging tools, architectures, and best practices. What I need from you is a steady stream of well-researched, original blog posts that tackle complex tech topics with depth, clarity, and authority. The writing style should assume readers already know the basics; instead of explaining what Kubernetes is, for example, dive into nuanced use-cases, performance tuning, or security hardening. Wherever relevant, cite current standards, white papers, or reputable benchmarks to support key points. Deliverables • Polished, publication-ready articles that pass Copyscape • Clear structure with concise headings, code snippets or diagrams where they add value • Autho...

...can weave advanced AI directly into the analytics and reporting layer. The immediate goal is to turn raw data into actionable insight through three key capabilities: Natural Language Processing for parsing unstructured text, Computer Vision for image streams, and Predictive Analytics for forward-looking metrics. The system is built on Python 3.11 with FastAPI, PostgreSQL, Docker and a modest Kubernetes cluster running on AWS. You will be handed clean, well-documented endpoints and a CI/CD pipeline that already pushes to our staging environment; your task is to design, train or fine-tune suitable models (TensorFlow, PyTorch, or scikit-learn—your choice), wrap them in scalable services, and instrument thorough metrics so the insights surface neatly in our reporting dashboard...

...STS) Experience in LLM fine-tuning, quantization, and model optimization Ability to deploy self-hosted / offline AI models Strong backend development skills (Python, Node.js, FastAPI, Django, etc.) Experience designing scalable, modular backend architectures Familiarity with vector databases (FAISS, Milvus, Pinecone, Weaviate, etc.) Understanding of cloud, containers, and MLOps (Docker, Kubernetes is a plus)...

...metadata instantly visible on the ledger explorer. 2. Attempting to access or transfer evidence with an unauthorized role is rejected and logged. 3. Re-hash check passes for intact files and fails if any single byte is altered. 4. End-to-end demo on a test network and deployment scripts (Docker/Kubernetes) are delivered. 5. Clear README and API documentation accompany the code. Tech stack highlights: Hyperledger Fabric, Go/Node chaincode, Google Cloud Storage SDK, Docker-Compose or Kubernetes, SHA-256, REST/GraphQL (your preference). If this matches your expertise and you can deliver a production-ready solution, I’m ready to dive into the details together....

...jQuery, AJAX Angular (v8–16), React, Knockout React Native Databases & Data Engineering SQL Server (2008 R2, 2012, 2014, 2016) Azure SQL MySQL, PostgreSQL MongoDB, Cosmos DB, SQLite Database Design, Modeling, Management & Analysis Cloud, DevOps & Infrastructure Microsoft Azure (Functions, Logic Apps, Service Bus, Blob Storage, Data Factory, Azure DevOps) AWS Cloud Docker, Kubernetes RabbitMQ CRM, ERP & Enterprise Platforms Microsoft Dynamics CRM 365 Dynamics Business Central Sage CRM NopCommerce Sitefinity v12.2 Umbraco v8.0 DotNetNuke v4.0 Python, AI & Advanced Solutions Python, Django, Flask, Pyramid REST APIs, WebSockets PySpark AI Email & Chatbot Solutions Data Science & Analytics CMS, E-Commerce & Web Platfo...

I run a FastAPI...solid plan, I’m ready to move straight into implementation: refactoring endpoints, improving message queues or gRPC contracts, tightening retries and circuit breakers, and expanding observability with Datadog APM and custom metrics so we can measure the impact on latency and consistency. Security hardening and horizontal scaling come right after we stabilise communication, so experience with Kubernetes, Terraform, CI/CD pipelines, and secrets management will help you hit the ground running—but the immediate deliverable is the architectural fix for microservice communication. If this sounds like your sweet spot, tell me about similar Python/FastAPI or Go-based microservice platforms you’ve untangled, the tooling you used, and how you valid...

Role: AI Engineer (LLM Inference & Model Integration) Role Overview Work on Large Language Model (LLM) inference use cases Integrate and configure pre-trained open-source LLMs Focus on how models behave, respond, and are used by applications Ensure AI outputs are reliable, safe, and aligned with business needs No responsibility for platform infrastructure or Kubernetes operations Key Responsibilities Configure and validate LLM inference behavior Define prompt structures and response formats Tune inference parameters (temperature, max tokens, context length) Evaluate model responses for accuracy, consistency, and safety Design AI usage patterns for enterprise and BFSI scenarios Test inference outputs against real-world business queries Define guardrails for hallucina...

Senior-level DevOps and backend engineers are the next critical hires for my technology company, and I need them in seat as soon as possible. Your task is to take full ownership of the recruitment cycle—from proactive sourcing through final offer—so my team can stay focused on...them in seat as soon as possible. Your task is to take full ownership of the recruitment cycle—from proactive sourcing through final offer—so my team can stay focused on delivery. You’ll be expected to leverage proven channels such as LinkedIn Recruiter, GitHub, Stack Overflow, and relevant Slack or Discord communities, while also tapping into your own network. Cloud-centric skill sets (AWS, Kubernetes, Terraform) and solid backend foundations (Python, Node.js, Go, or Java) sho...

We’re Hiring: Inside Sales Executive – Fresher / Intern Malad (W), Mumbai | Work From Office | Immediate Joiner About Texple Texple is a Cloud & IoT company delivering Mobile App Development, DevOps, Cloud Automation, Kubernetes & Managed Cloud Services. Our team includes certified AWS experts who work with AWS, GitLab, Bitbucket, Jenkins & CI/CD pipelines. Role Overview We are looking for enthusiastic freshers or interns who want to start their career in IT Sales / Inside Sales. You will receive training on cloud concepts, lead generation, prospecting, and communication. Responsibilities 1. Generate leads via LinkedIn, emails, calls & online research 2. Understand Texple’s services & pitch them to prospects 3. Book meetings for senior sal...

...re-architect the backend into clean, scalable microservices. The immediate priorities are twofold: solid backend development and the introduction of AI-driven automation that adds real business value. Here’s what the engagement will cover: • Backend evolution: refactor existing code, design new APIs, and ensure the services are container-ready so we can run them smoothly in Docker and orchestrate with Kubernetes later. • AI workflow creation: weave OpenAI and LangChain into core processes—think intelligent data extraction, conversation agents, or smart decision support—while keeping performance and security front-of-mind. • Cloud readiness: package everything for seamless deployment on AWS or Azure, taking advantage of managed databases, mes...

...Services, AD-integrated environments, PowerShell automation) ● Practical experience with VMware (vSphere, ESXi, or similar virtualization platforms) ● Strong programming experience in Python (APIs, automation scripts, or services) ● Solid understanding of networking and virtualization fundamentals (e.g., subnets, firewalls/security groups, load balancing, DNS) ● Hands-on experience with Docker and Kubernetes (or OpenShift/EKS/AKS) in production-grade or pre-production environments ● Experience developing and maintaining Celery (or similar) task queues and background worker systems. ● Proficiency with MySQL or a similar relational database (schema design, queries, basic performance tuning) ● Experience with React or another modern frontend framework, and integrating frontend compo...

...Claude, NLP, RAG) - Solid understanding of FinTech systems, payments, and secure data handling - Experience with PostgreSQL, MongoDB, Redis - Cloud experience with AWS, Docker, CI/CD - Strong system design and problem-solving skills Nice to Have - Experience with fraud detection, risk analysis, or financial analytics - Knowledge of microservices and event-driven architecture - Familiarity with Kubernetes and advanced cloud scaling strategies What We Offer - Opportunity to build a cutting-edge AI-powered FinTech product - Flexible, consultant-friendly engagement - Long-term collaboration with ongoing enhancements - Competitive compensation based on expertise and impact Ideal Candidate A consultant who can own the entire AI + Full Stack lifecycle—from architecture and d...