Senior Python Engineer

🏢 Summary: Development of LLM-powered applications and data pipelines for a modern insurance platform, integrating multiple data sources in AWS and Snowflake environments. The role focuses on building and improving a domain-specific chatbot using advanced LLM techniques such as RAG, prompt engineering, and feedback loops. It requires close collaboration with cross-functional teams and availability in the PT timezone. 🗂️ Requirements: Commercial experience with TypeScript, Experience building LLM-powered applications, Hands-on experience with AWS, Experience with Snowflake, Experience designing ETL or ELT pipelines, Experience integrating APIs and external data sources, Ability to design data transformations and data-access layers, Fluent English, Availability for meetings in PT timezone 📃 Skills: TypeScript, Snowflake, AWS, LLM, RAG, APIs, ETL, ELT, Chatbots, SQL, Prompting, Evaluation, Orchestration, EventDriven 🏢 Description: We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ Please note that working within this project means availability for meetings in PT timezone (mainly till 19:00, usually no later than 18:00) and fluent English. About project: It is a modern insurance brokerage and advisory firm that supports fast-growing companies, particularly in the technology, life sciences, and professional services sectors. The organization combines deep risk management expertise with advanced technology and AI-powered tools to deliver more efficient, tailored insurance solutions to its clients. Its mission is to transform the traditional insurance industry, which is often perceived as complex, slow, and not well suited to the needs of modern businesses. Through digital workflows, automation, and a customer-centric approach, the company simplifies insurance processes, accelerates decision-making, and improves transparency across the entire client experience. By partnering with ambitious leaders and innovative organizations, it helps businesses identify, manage, and mitigate risks associated with growth. Beyond providing insurance coverage, the company offers strategic advisory services that enable clients to make confident decisions and scale their businesses with greater security and peace of mind. What you will do : Work with the following technologies and environments: Agentic AI , TypeScript, Snowflake, AWS, LLM-related technologies , data integrations, APIs, ETL/ELT pipelines. Build LLM-powered applications using modern approaches such as retrieval-augmented generation, tool usage, context management, prompt engineering, evaluation, and feedback loops. Work on a chatbot that can learn from user interactions, improve over time, and support users with domain-specific knowledge. Design and implement integrations with multiple internal and external data sources. Prepare reliable data pipelines, transformations, and data-access layers that enable LLM applications to use structured and unstructured data effectively Take ownership of ambiguous problems and drive solutions end-to-end. Communicate with the team, discuss new ideas, and work closely with non-technical users. Work on a dynamic, startup-style project where learning the domain, experimenting, and iterating quickly are important. Nice To Have: Experience with event-driven architectures and workflow orchestration tools. Experience in regulated domains such as insurance, fintech, or healthcare. Familiarity with AWS services and distributed backend infrastructure. Benefits: B2B contract International projects, often at the cutting edge of technology Experienced team - exchange your expertise with other passionate engineers A challenging yet thriving work environment - we push ourselves to be better everyday Modern tech stacks Remote working possibilities Flexible hours

🏢 Summary: Hands-on ML Engineer role to evolve a computer vision mobile app from prototype to production, improving model accuracy and building scalable ML infrastructure. You will design automated pipelines for adding new species, optimize models for on-device deployment, and extend support to Android. The role focuses on end-to-end ML lifecycle ownership, from training to mobile deployment. 🗂️ Requirements: 5+ years of ML engineering experience, Strong experience with PyTorch, Experience with vision transformers (ViT/timm), Experience with YOLO or Ultralytics, Experience with full ML lifecycle (training, evaluation, export, deployment), Experience deploying models to CoreML or TFLite, Experience building ML pipelines with versioning and experiment tracking, Experience implementing CI/CD for ML workflows, Experience working with small or noisy datasets, Experience designing scalable classification systems, Experience with orchestration tools (Airflow, Prefect, or Dagster) 📃 Skills: Python, PyTorch, ViT, timm, YOLO, Ultralytics, CoreML, TFLite, Airflow, Prefect, Dagster, CI/CD, MediaPipe, Quantization, Pruning, Distillation 🏢 Description: We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ Our client is building a mobile app that uses computer vision to identify fish species, classify sex, and estimate length from photos. We’ve proven the concept — species classification at 87.6% accuracy, a length regression model with 73% improvement over baseline, and CoreML export running on iOS. Now we need someone to take this from working prototype to production-grade ML system. The founder has built the initial models and pipeline in Python, and your job is to improve model accuracy, build the infrastructure to support continuous improvement, and extend deployment to Android. This is a hands-on, build-it-yourself role — not a management position. What You’ll Own Design and build a repeatable, scalable process for adding new fish species to the classifier. Today, adding a species involves manual image scraping, hand-curated CSVs, and ad hoc retraining. We need a system where a new species can go from “we want to support this” to “it’s live on device” with minimal manual effort. What We’re Looking For 5+ years of experience in ML engineering, with meaningful time spent on both model development and production infrastructure. Specifically: Strong PyTorch experience, ideally with vision transformers (ViT/timm) and object detection (YOLO/ultralytics) Familiarity with the full model lifecycle — training, evaluation, export, and on-device deployment Hands-on experience deploying models to mobile (CoreML and/or TFLite); you don’t need to be an iOS/Android app developer, but you need to produce optimized model artifacts that mobile engineers can integrate Experience building ML pipelines with proper versioning, experiment tracking, and CI/CD Comfort working with small, noisy datasets and knowing how to get the most out of limited labeled data Experience designing classification systems that scale — adding new classes without full retraining or accuracy regression Familiarity with at least one orchestration tool (Airflow, Prefect, Dagster) Self-directed — you’ll be working with a small team and need to make pragmatic architecture decisions without a lot of oversight Nice to Have Experience with MediaPipe or similar pose/landmark detection frameworks Background in ecological or biological image classification Experience with on-device A/B testing frameworks Familiarity with edge inference optimization (quantization, pruning, distillation) Experience with few-shot learning or other techniques for bootstrapping new classes with limited data

🏢 Summary: Backend Engineer role focused on building and scaling a mission-critical situational awareness platform with real-time communication and AI-driven capabilities. The position involves developing backend services, APIs, microservices, and data pipelines in a distributed, cloud-based environment. You will integrate AI technologies and external systems while contributing to system architecture and performance optimization. 🗂️ Requirements: 5+ years backend development experience, Strong proficiency in Python, Experience building scalable backend services, Solid knowledge of PostgreSQL and database design, Experience with RabbitMQ or event-driven architectures, Experience with Kubernetes, Experience with AWS, Experience designing RESTful APIs, Experience with microservices architecture, Understanding of distributed systems, Experience with asynchronous communication, Experience with real-time data processing, Experience integrating LLMs or RAG, Experience with data pipelines and ETL, Experience integrating third-party APIs, Knowledge of software architecture and system design, Ability to troubleshoot and optimize production systems 📃 Skills: Python, PostgreSQL, RabbitMQ, Kubernetes, AWS, REST, Microservices, DistributedSystems, LLM, RAG, ETL, APIs, Cloud 🏢 Description: About project: TROP is an advanced situational awareness and operational coordination platform developed by Defencebay. By combining real-time mapping, secure communications, drone integration, AI-ready workflows and resilient Mesh LoRa networking, TROP helps teams maintain a shared operational picture when standard infrastructure is limited or unavailable. We are building next-generation technology for public safety, emergency response, critical infrastructure protection and defense operations. Defencebay is a sub-brand of Devopsbay, focused on building advanced technologies for public safety, defense, and crisis communication systems. The recruitment process for this role is conducted under the Defencebay brand, as part of our dedicated product team working on the TROP platform. While being part of the broader Devopsbay organization, Defencebay operates as an independent product unit responsible for developing mission-critical solutions in the area of situational awareness and resilient communications Required Skills 5+ years of experience in backend software development. Strong proficiency in Python and experience building scalable backend services. Strong understanding of software engineering best practices, including testing, code reviews, clean code, and maintainable architecture. Solid knowledge of PostgreSQL and database design principles. Hands-on experience with message brokers such as RabbitMQ or similar event-driven architectures. Experience working with containerized environments and orchestration platforms, particularly Kubernetes (K8s). Practical knowledge of cloud platforms, preferably AWS. Experience designing, building, and maintaining RESTful APIs and microservices. Understanding of distributed systems, asynchronous communication, and real-time data processing. Experience integrating AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI-powered applications. Familiarity with data pipelines, ETL processes, and analytics workflows. Experience integrating third-party systems, APIs, and external services. Understanding of software architecture principles, system design, and scalability considerations. Ability to troubleshoot complex production issues and optimize system performance. Strong problem-solving skills and ability to work independently in a fast-paced environment. Good communication skills and ability to collaborate effectively within cross-functional teams. Nice to Have Experience working with multiple programming languages and technology stacks beyond Python. Experience with Computer Vision solutions and AI model deployment. Familiarity with Model Context Protocol (MCP) and AI agent architectures. Experience working with Team Awareness Kit (TAK), ATAK, iTAK, or situational awareness platforms. Knowledge of geospatial systems, mapping technologies, or GIS solutions. Experience in defense, public safety, emergency management, or mission-critical systems. Familiarity with DevOps practices, Infrastructure as Code (Terraform), and CI/CD pipelines. What You’ll Do Design, develop, and maintain backend services using technologies such as Python, PostgreSQL, RabbitMQ, Kubernetes (K8s), and AWS . Build and evolve APIs and microservices , with a strong focus on real-time communication features. Develop new features, maintain existing components, and troubleshoot production issues across the platform. Design and implement integrations leveraging modern AI technologies, including LLMs, RAG (Retrieval-Augmented Generation), Computer Vision, and Model Context Protocol (MCP) . Build and maintain data processing pipelines that power AI-driven features and analytics workflows. Evaluate, prototype, and integrate emerging AI technologies into real-world products and solutions. Contribute to system architecture and participate in key technical decisions shaping the platform’s evolution. Integrate with external systems and develop solutions that enable efficient communication and data exchange across distributed services. Work on products within the Team Awareness Kit (TAK) ecosystem , supporting real-time situational awareness, information sharing, and operational coordination. Take ownership of features and projects from initial concept through production deployment and ongoing operation.

🏢 Summary: Senior Back-End Developer role focused on designing and building scalable, secure APIs and services for a SaaS legal-tech platform hosted on AWS. The position involves developing distributed systems, optimizing data models, and integrating multiple AWS services to support complex enterprise workflows. You will collaborate with cross-functional teams to improve performance, reliability, and architecture of the back-end systems. 🗂️ Requirements: Experience as Back-End or Full-Stack Developer in SaaS environment, Strong knowledge of Python 3.10+, Strong knowledge of Django 4.x and Django REST Framework, Experience with PostgreSQL, Experience with Redis and/or Elasticsearch/OpenSearch, Experience with Celery and asynchronous task processing, Familiarity with AWS services: ECS, Lambda, S3, RDS, SQS/SNS, Experience with Git and CI/CD pipelines, Experience working in Agile/Scrum environment, Strong debugging and performance optimization skills 📃 Skills: Python, Django, DjangoRESTFramework, PostgreSQL, Redis, Elasticsearch, OpenSearch, Celery, AWS, ECS, Lambda, S3, RDS, SQS, SNS, Git, CI/CD, Terraform, Terragrunt, pytest, Ruff 🏢 Description: About Us We build B2B legal technology that helps law firms and fund managers work faster and produce high-quality results. Our product helps manage the legal processes used when raising private investment funds. It makes drafting, negotiation, and compliance work easier and faster for lawyers. We use a single-tenant SaaS system hosted on AWS in several regions. Our technology stack includes Python/Django 4.2, React 18 with TypeScript, PostgreSQL, Redis, Elasticsearch/OpenSearch, S3, ECS, and Lambda. Role Overview We are looking for a Senior Back-End Developer to design, build, and improve the APIs, data models, and services behind our product. You will work closely with front-end developers, QA engineers, and DevOps specialists to create reliable, scalable, and secure back-end systems used by global business clients. The ideal candidate has strong experience with Python/Django, AWS services, and distributed systems. They care about performance, clean architecture, and maintainable code. Key Responsibilities Design and build RESTful APIs using Python 3.10+ and Django 4.x / Django REST Framework. Create scalable data models and efficient queries using PostgreSQL, Redis, and Elasticsearch/OpenSearch. Build background jobs and asynchronous tasks using Celery, SQS, and Lambda. Integrate AWS services such as S3, SNS/SQS, CloudFront, ECS, and RDS into application workflows. Take part in code reviews and maintain clean, secure, and well-documented services. Work with DevOps to improve CI/CD pipelines and infrastructure automation. Help plan system architecture, scalability, and performance improvements. Essential Requirements Experience working as a Back-End or Full-Stack Developer in a SaaS environment. Strong knowledge of Python 3.10+ and Django 4.x / Django REST Framework. Experience with PostgreSQL, Redis, and/or Elasticsearch/OpenSearch. Familiarity with Celery, SQS/SNS, and AWS services such as ECS, Lambda, S3, and RDS. Experience with Git, CI/CD processes, and Agile/Scrum development. Strong debugging and problem-solving skills with attention to performance and reliability. Preferred Requirements Experience with infrastructure-as-code tools such as Terraform or Terragrunt and AWS developer tools. Knowledge of authentication systems, role-based access control, and single-tenant architecture. Experience working with text or document processing libraries. Familiarity with testing and code quality tools such as pytest, Ruff, and pre-commit workflows. Personal Attributes Practical engineer who values reliability and clean system design. Analytical and detail-focused problem solver. Comfortable working and communicating in cross-functional Agile teams. Proactive in improving code quality and developer experience. What We Offer Competitive salary and benefits. Remote-first work culture with colleagues from different countries. Opportunity to shape the back-end architecture and services of our global legal-tech product. Experience working with complex enterprise workflows and automation challenges.

🏢 Summary: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 Summary: Fullstack Developer role focused on building internal web applications that support security, DevOps, and AI workflows. The position involves designing frontend and backend architectures, creating APIs, integrating multiple systems, and developing dashboards and automation tools. The role also includes implementing security controls and ensuring high code quality and scalability. 🗂️ Requirements: 3+ years experience as Fullstack Developer, Experience with modern frontend frameworks, Experience with modern backend frameworks, API design and development experience, Experience with system integrations, Multi-source data processing experience, Experience building internal tools, Knowledge of web application security fundamentals, Experience implementing RBAC and audit logging, Experience writing automated tests, Ability to maintain code quality standards 📃 Skills: JavaScript, TypeScript, HTML, CSS, REST, API, CI/CD, RBAC, Microservices, Cloud, SQL, NoSQL, Git, OpenAI, Testing 🏢 Description: Tasks Design and build internal web applications supporting security, DevOps, and AI workflows. Develop frontend and backend architecture, APIs, and integrations with existing systems. Build integration layers aggregating data from CI/CD, security scanners, code repositories, and ticketing tools. Automate workflows such as risk approvals, project onboarding to AI platforms, and access management. Develop interfaces for AI platform operations: experiment execution, model monitoring, and evaluation review. Build security dashboards (alerts, vulnerability status, compliance controls) and implement RBAC and audit logging. Ensure code quality through testing, technical reviews, and performance/scalability improvements. Requirements At least 3 years of experience as a Fullstack Developer. Hands-on experience with modern frontend/backend frameworks and API design. Experience in system integrations and multi-source data processing. Ability to build internal tools and deliver rapid prototypes. Knowledge of web application security fundamentals (RBAC, session security, audit logging). Experience writing tests and maintaining code quality standards. Strong ownership, organization, and technical communication skills. Good command of English. Nice to Have Experience with cloud platforms and microservice architectures. Experience integrating AI provider APIs (e.g., OpenAI) and internal inference services. Experience building operational and analytics dashboards. Familiarity with DevOps and cybersecurity domains. We Offer High ownership and direct impact on internal engineering tooling. Work on cross-domain projects connecting software engineering, security, and AI. Opportunities for growth in an automation-first, quality-focused environment. Stable employment terms and a collaborative team culture. We offer Work in a friendly, well-coordinated team of enthusiasts Stable employment in a modern company with an established market position Attractive salary and benefits package (e.g., private medical care, sports card) Opportunities for professional development and participation in innovative projects

🏢 Summary: Offer for a senior DevOps expert responsible for designing, implementing and migrating Cloud Native environments based on Kubernetes and OpenShift. The role focuses on containerization, CI/CD, Infrastructure as Code, and AI-driven DevOps automation, combined with technical consulting for clients. The position involves leading migrations, solving complex production issues, and building modern, scalable platforms. 🗂️ Requirements: Very good knowledge of Kubernetes architecture, networking, storage, operators, security, Hands-on experience with containerization, Practical experience with Red Hat OpenShift, Experience in migrations to Kubernetes/OpenShift, Experience in application modernization, Experience in CI/CD implementation, Knowledge of Infrastructure as Code, Knowledge of Kafka, Advanced programming skills in Python, Experience with DevOps automation and API integrations, Practical experience with AI in DevOps (LLM, AI agents), Ability to design and implement CI/CD pipelines, English level B2 or higher 📃 Skills: Kubernetes, OpenShift, Docker, CI/CD, GitLab, Jenkins, ArgoCD, Helm, Kustomize, AWSCDK, Ansible, Chef, Kafka, Python, LLM, Strands, LangGraph, AzureAI, Prometheus, Grafana, ELK, OpenTelemetry, AWS, Azure, GCP 🏢 Description: Poszukujemy doświadczonych ekspertów DevOps, którzy będą partnerami technologicznymi dla naszych klientów - od definiowania architektury i rekomendacji rozwiązań, po ich praktyczną implementację w środowiskach opartych o Kubernetes, Docker i OpenShift. Rola obejmuje również prowadzenie migracji oraz wsparcie w obszarze automatyzacji, modernizacji infrastruktury i wdrażania najlepszych praktyk DevOps. Twoja praca będzie polegała na: Doradztwie technologicznym i prowadzeniu warsztatów dla klientów z obszaru DevOps / Cloud Native Projektowaniu, budowaniu i rozwoju środowisk Kubernetes , OpenShift Migracji aplikacji i usług do architektur kontenerowych Projektowaniu i implementacji pipeline’ów CI/CD Automatyzacji infrastruktury (IaC) i procesów operacyjnych Rozwiązywaniu złożonych problemów technicznych w środowiskach produkcyjnych Współpracy z zespołami developerskimi, architektami oraz klientami biznesowymi Do realizacji zadań będzie Ci potrzebna: Bardzo dobra znajomość Kubernetes - architektura, networking, storage, operators, security Doświadczenie hands-on z konteneryzacją aplikacji Praktyczne doświadczenie z Red Hat OpenShift Realne doświadczenie w migracjach: do K8s/OpenShift modernizacji aplikacji migracji pipeline’ów i infrastruktury Bardzo dobra znajomość CI/CD (np. GitLab CI, Jenkins, Argo CD) Znajomość IaC (Helm, Kustomize, AWS CDK, Ansible, Chef) Znajomość Kafka Zaawansowane umiejętności programowania w Pythonie: automatyzacje DevOps integracje z API praca z frameworkami AI (np. Strands-agents, LangGraph, Azure AI SDK) Rozumienie koncepcji i praktyczne doświadczenie z AI w DevOps (LLM, agenci AI, automatyzacja procesów) Umiejętność pracy konsultingowej i samodzielnego prowadzenia projektów Język angielski na poziomie min. B2 Ucieszy nas jeśli posiadasz: Certyfikaty CKA, CKAD, CKS, Red Hat Doświadczenie z chmurą (AWS / Azure / GCP) Znajomość service mesh Monitoring: Prometheus, Grafana, ELK/EFK, OpenTelemetry Doświadczenie w optymalizacji kosztów i wydajności środowisk Z naszej strony możemy Ci zapewnić: Umowę UoP/B2B Pracę zdalną/hybrydową/stacjonarną – Gliwice, Opole Udział w projektach międzynarodowych Program poleceń – za każde polecenie oferujemy 5 000 - 8000 zł brutto Realny wpływ na kształtowanie rozwiązań AI i strategii dla klientów Możliwość rozwoju zarówno technicznego, jak i konsultingowo-biznesowego Możliwość dołączenia do benefitów: opieki medycznej Medicover, karty Multisport, ubezpieczenia na życie Uniqua, lektoratów z języka angielskiego i niemieckiego Niekorporacyjną atmosferę Środowisko, w którym liczy się inicjatywa, odpowiedzialność i jakość Spotkania Team’owe. Wyjazdy integracyjne firmowe zarówno w Polsce, jak i za granicą (Niemcy, Francja)

🏢 Summary: The offer is for a Senior Frontend Developer responsible for building and maintaining user interfaces using React within AI-powered business platforms. The role focuses on developing high-quality, scalable front-end solutions with strong emphasis on TDD, performance, and cross-team collaboration. Candidates will work in an Agile environment delivering robust, user-friendly products. 🗂️ Requirements: 6+ years of experience with JavaScript and TypeScript, Strong knowledge of React.js and Redux, Understanding of JavaScript design patterns, Knowledge of functional programming, Knowledge of asynchronous programming, Experience with Git and branch management, Ability to debug front-end issues using debugging tools, Experience creating and integrating custom packages, Understanding of object-oriented programming in JavaScript, Hands-on experience with HTML5 and CSS3, Experience with Test-Driven Development (TDD), Experience with Continuous Integration, Familiarity with Agile development practices, Ability to write cross-browser compatible code 📃 Skills: JavaScript, TypeScript, React, Redux, Next.js, HTML5, CSS3, Git, TDD, CI, Agile 🏢 Description: Overview We are a company that leads in AI-powered business operations, providing digital solutions and consulting services that help businesses grow and improve. We focus on using advanced technology to make operations easier, increase efficiency, and create new opportunities, especially in private capital markets. Our services include: PaaS (Platform as a Service): Our main platform uses AI to improve workflows, generate insights, and help businesses grow faster. SaaS (Software as a Service): A cloud platform that offers strong performance, smart tools, and large-scale execution. S&C (Solutions and Consulting Suite): Flexible technology tools to manage, develop, and improve business performance. With over ten years of experience helping fast-growing companies and private equity-backed businesses, we bring deep knowledge and a proven track record of turning technology into a real advantage. Responsibilities Design and develop user interfaces using React. Implement and maintain test-driven development (TDD) and continuous integration. Work with project managers, analysts, and sales teams to deliver high-quality products on time. Follow best practices in testing, accessibility, and performance. Work closely with design, backend, QA, and product teams to build user-friendly solutions. Requirements 6+ years experience with JavaScript and TypeScript. Understand design patterns and how to use them in JavaScript. Experience with modern front-end frameworks like React.js + Redux; Next.js is a bonus. Knowledge of functional and asynchronous programming. Experience with Git and branch management. Ability to debug front-end issues and use debugging tools. Familiar with creating and integrating custom packages. Understand object-oriented programming concepts in JavaScript. Can work under pressure and meet tight deadlines. Hands-on experience with HTML5 and CSS3. Familiar with Agile development practices. Good communication and organizational skills. Able to write code that works across different browsers. Bachelor’s degree in Computer Science or similar is preferred. Why Join Us? We appreciate creative problem-solvers who learn quickly, work well in a diverse environment, and like to raise the standard for success. We work hard but also make sure to enjoy what we do.

🏢 Summary: Fullstack Developer role focused on building internal web applications supporting security, DevOps, and AI workflows. The position involves designing frontend and backend architecture, developing integrations with CI/CD, security, and AI systems, and automating internal processes. You will also create dashboards, implement security controls, and ensure high code quality and scalability. 🗂️ Requirements: Minimum 3 years experience as Fullstack Developer, Experience with modern frontend frameworks, Experience with modern backend frameworks, API design and development experience, Experience with system integrations, Multi-source data processing experience, Ability to build internal tools and rapid prototypes, Knowledge of web application security fundamentals, Implementation of RBAC and audit logging, Experience writing tests and maintaining code quality standards, Good command of English 📃 Skills: Fullstack, Frontend, Backend, APIs, Integration, Dataprocessing, CICD, Automation, RBAC, Auditlogging, Testing, Security, Dashboards, Microservices, Cloud, OpenAI, DevOps, Cybersecurity 🏢 Description: Tasks Design and build internal web applications supporting security, DevOps, and AI workflows. Develop frontend and backend architecture, APIs, and integrations with existing systems. Build integration layers aggregating data from CI/CD, security scanners, code repositories, and ticketing tools. Automate workflows such as risk approvals, project onboarding to AI platforms, and access management. Develop interfaces for AI platform operations: experiment execution, model monitoring, and evaluation review. Build security dashboards (alerts, vulnerability status, compliance controls) and implement RBAC and audit logging. Ensure code quality through testing, technical reviews, and performance/scalability improvements. Requirements At least 3 years of experience as a Fullstack Developer. Hands-on experience with modern frontend/backend frameworks and API design. Experience in system integrations and multi-source data processing. Ability to build internal tools and deliver rapid prototypes. Knowledge of web application security fundamentals (RBAC, session security, audit logging). Experience writing tests and maintaining code quality standards. Strong ownership, organization, and technical communication skills. Good command of English. Nice to Have Experience with cloud platforms and microservice architectures. Experience integrating AI provider APIs (e.g., OpenAI) and internal inference services. Experience building operational and analytics dashboards. Familiarity with DevOps and cybersecurity domains. We Offer High ownership and direct impact on internal engineering tooling. Work on cross-domain projects connecting software engineering, security, and AI. Opportunities for growth in an automation-first, quality-focused environment. Stable employment terms and a collaborative team culture. An attractive salary and benefits package (including private medical care and a sports card).

🏢 Summary: Remote AI Lead DevOps Engineer role responsible for defining and executing the MLOps and CI/CD strategy for enterprise AI platforms. The position focuses on architecting secure, compliant, and fully automated ML lifecycle governance, ensuring auditability, reproducibility, and large-scale reliability. The role combines technical leadership with hands-on design of cloud-native, DevSecOps-driven AI infrastructure. 🗂️ Requirements: 8–10 years DevOps or Cloud Engineering experience, Minimum 3 years in technical leadership or architect role, Strong knowledge of end-to-end ML lifecycle, Expertise in CI/CD pipeline design and implementation, Advanced Infrastructure as Code experience, Experience with SAST and DAST implementation, Strong IAM and access control management in cloud, Ability to design observability frameworks for ML systems, Experience with configuration management in multi-cloud environments, Knowledge of database scaling and security, Experience implementing model governance and auditability practices 📃 Skills: MLOps, CI/CD, DevSecOps, Azure, AzureDevOps, GitHubActions, Jenkins, Terraform, CloudFormation, SAST, DAST, IAM, Ansible, Puppet, MySQL, PostgreSQL, MongoDB, Observability, Git 🏢 Description: This is a remote position. We are looking for an AI Lead DevOps Engineer to spearhead the MLOps strategy for our high-impact AI accounts. With 8–10 years of experience, you will provide the technical leadership necessary to design robust, compliant, and highly automated AI platforms. You aren't just managing pipelines; you are architect the entire lifecycle governance—ensuring reproducibility, audibility, and security at an enterprise scale. Key Responsibilities: Strategic Leadership: Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account. Model Governance & Evaluation: Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production. Enterprise Security: Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations. Platform Enablement: Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails. Auditability & Reproducibility: Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies. Mentorship: Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture. Requirements 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role. Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops). Mastery across Azure DevOps, GitHub Actions, and Jenkins. Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments. Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment. Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI. Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments. Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB. Understanding of how DevOps practices support responsible AI (e.g., bias tracking and audit logs). Exceptional ability to collaborate with Architects and Data Scientists to translate high-level AI needs into operational reality. Native or C1-level English, with the ability to present technical strategies to senior stakeholders. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row