What will you do? Design, develop and support backend system serving for endpoint security Help us with initiatives around moving our services to a new deployment model. Tuning and adjusting our services to work with new CPU architectures. Improving the observability for our services. Responsibilities: Cross-Team Collaboration: Work closely with product, validation, and front-end engineering teams to deliver and maintain high-quality features. Code Quality and Maintenance: Write clean, maintainable code. Stay up-to-date with the latest advancements in backend technologies and security best practices. Innovation and Creativity: Bring creativity to the table. Explore new solutions and technologies to improve our product continuously. Lead code reviews, establish coding standards and best practices Partner with Product, QA, DevOps, and Security teams to align on requirements, release timelines, and operational concerns. Requirements: Hands-on experience with Python and/or Go, or similar Ability to quickly dive into new products and understand their inner working Self-driven individual Experience with Docker, Helm & Kubernetes Familiarity with AWS and/or other cloud platforms Your main tools: Python (Flask, SQLAlchemy, Marshmallow) and Golang (we're using for new development); AWS&GCP PostgreSQL, Redis, Kafka; Kubernetes, Docker; GitHub etc.
7+ years of commercial experience working as Node.js developer Expertise in working with MariaDB, ElasticSearch, GraphQL Knowledge of AWS (Lambda), Typescript, MSSQL would be a plus Excellent verbal and written communication skills Upper-intermediate English level Position Expectations Contribute high quality code to Political Intelligence platform Create technical design and define general approach to back-end related part of the platform Participate in technical discussions Give and solicit feedback on technical design documents and pull requests Collaborate with Product Management, help prioritize the backlog and sprint plans Perform tasks related to process such as CI/CD, quality, testing, etc
Responsibilities: Participate in team meetings like plannings, refinements, demo, retrospectives Work closely with development and design teams to evaluate requirements testability Design test strategy and develop test plan Automate test cases to ensure product quality Periodically execute manual testing for web application to ensure service delivery Report defects/bugs in Jira with detailed description, create test reports Requirements: Excellent knowledge of test automation with C# Experience working with Selenium, NUnit, QMetry Knowledge of Allure Report, Postman and BrowserStack Understanding of test management process Good understanding of SDLC and SAFe Understanding of CI/CD processes Ability to work in multi-team project English level B2 or higher Excellent communication and presentation skills Nice to have: Experience working with Datadog Experience working with Jenkins
What will you do? Design, develop and support backend system serving for endpoint security Help us with initiatives around moving our services to a new deployment model. Tuning and adjusting our services to work with new CPU architectures. Improving the observability for our services. Responsibilities: Cross-Team Collaboration: Work closely with product, validation, and front-end engineering teams to deliver and maintain high-quality features. Code Quality and Maintenance: Write clean, maintainable code. Stay up-to-date with the latest advancements in backend technologies and security best practices. Innovation and Creativity: Bring creativity to the table. Explore new solutions and technologies to improve our product continuously. Requirements: Hands-on experience with Golang Ability to quickly dive into new products and understand their inner working Self-driven individual Experience with Docker, Helm & Kubernetes Familiarity with AWS and/or other cloud platforms
What will you do? Design, develop and support backend system serving for endpoint security Help us with initiatives around moving our services to a new deployment model. Tuning and adjusting our services to work with new CPU architectures. Improving the observability for our services. Responsibilities: Cross-Team Collaboration: Work closely with product, validation, and front-end engineering teams to deliver and maintain high-quality features. Code Quality and Maintenance: Write clean, maintainable code. Stay up-to-date with the latest advancements in backend technologies and security best practices. Innovation and Creativity: Bring creativity to the table. Explore new solutions and technologies to improve our product continuously. Lead code reviews, establish coding standards and best practices Partner with Product, QA, DevOps, and Security teams to align on requirements, release timelines, and operational concerns. Requirements: Hands-on experience with Golang Ability to quickly dive into new products and understand their inner working Self-driven individual Experience with Docker, Helm & Kubernetes Familiarity with AWS and/or other cloud platforms
N-iX is looking for Senior Full Stack Engineer (#3867) to join our dynamic team and embark on a rewarding career journey Meeting with the software development team to define the scope and scale of software projects Designing software system architecture Completing data structures and design patterns Designing and implementing scalable web services, applications, and APIs Developing and maintaining internal software tools Writing low-level and high-level code Troubleshooting and bug fixing Identifying bottlenecks and improving software efficiency Collaborating with the design team on developing micro-services Writing technical documents Good communication skills High-level project management skills
What Youll Do Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation. Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools. Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring. Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization. Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD pipelines. Own the full lifecycle of systems—from requirements gathering to deployment and post-release support. Troubleshoot performance and reliability issues across the stack and work on platform hardening. Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability. Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable. Preferred Qualifications 5+ years of experience in software engineering and platform operations in a large-scale or enterprise environment. Strong programming skills in Java (preferred), with experience in Spring Boot or similar frameworks. Bonus for front-end experience (React, Angular, or similar). Experience designing, deploying, and managing applications in Kubernetes and Dockerized environments. Solid background in multi-cloud architecture and automation across GCP, AWS, or Azure. Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems. Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or similar). Experience with infrastructure-as-code using tools like Terraform, Ansible, or similar. Strong debugging and problem-solving skills across distributed systems, APIs, and infrastructure layers. Ability to translate platform needs into maintainable, performant code and configuration. Excellent communication skills with the ability to work across engineering and infrastructure domains. Why Join Us? Work on high-impact internal systems that power eBay’s global engineering org. Collaborate with experienced engineers on modernizing platforms and developer workflows. Be part of a company that values diversity, authenticity, and continuous learning. Enjoy autonomy, purpose-driven work, and the opportunity to shape foundational tools at scale.
Senior Software Engineer Job Description Duties and responsibilities: Write well-designed, and testable code Prepare documentation to identify requirements and solutions Document and maintain software functionality Troubleshoot and debug code Comply with project plans and industry regulations Requirements and qualifications: Proven work experience (minimum 8+ years) as a C++ Software Developer in Embedded Linux environments Fluent in C++, Qt Knowledge of DICOM and HL7 protocols and SQL Solid experience in AWS, S3, and other cloud services Good knowledge of object-oriented programming Experienced with MySQL, RPC, multi-threaded applications, and networking protocols. Relevant experience in developing software for medical devices. Understanding of radiological diagnostic image viewing and RIS workflows Proficient in software engineering tools - source code controls, code reviews, bug tracking, etc. Great interpersonal and communication skills Minimum BS degree in Computer Science, Engineering, or a relevant field Nice to have Java, JavaScript Helpful areas of experience: Radiology industry terminology and workflows EN 62304 Medical Device Software Life Cycle Process ISO 14971 – Risk management of medical devices
Key Responsibilities Identify and re-implement backend hotspots as high-efficiency Go microservices Collaborate on architectural modernization, such as migration to WebSocket-based async flows Design and build scalable, highly concurrent services with gRPC or HTTP Contribute to resilience improvements across the service landscape Required Skills Expert in Go (Golang), 6 -7+ years of experience Experience in writing concurrent, low-late ncy code and optimizing system throughput Proficient in microservice design, gRPC, REST, WebSockets Knowledge of message brokers (e.g., Artemis, NATS) Experience working with PostgreSQL, Kubernetes, service mesh (e.g., Istio) Familiarity with Java would be a plus
Requirements Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field 5+ years of experience in data science with a strong focus on machine learning and natural language processing Proficiency in Python and SQL Knowledge of classic Data Science frameworks stack (pandas, numpy, scikit-learn) Familiarity with prompt engineering techniques and LLM agent frameworks (LangChain, LangGraph, LangSmith, Vector Databases) Strong understanding of statistical methods, hypothesis testing, data visualization, and feature engineering best practices (Matplotlib, plotly) Familiarity with MLflow, containerization, and orchestrators Knowledge and hands-on experience with Generative AI, including Prompt Engineering, Fine-Tuning, Automatic Evaluation, and Retrieval-Augmented Generation (RAG) and frameworks (huggingface, ragas) Excellent verbal and written skills in English Strong communication and presentation skills Responsibilities Participate in pre-sales activities that include but are not limited to the preparation of proposals, technical assessments, and implementation of proofs of concept Understand customer challenges and business needs, analyze and estimate requirements, as well as identify the risks involved and provide solutions to them Conduct in-depth data analysis to identify patterns, trends, and insights Collaborate with cross-functional teams to define project scope and objectives Communicate complex findings to non-technical stakeholders effectively Set up a testing framework to evaluate agent performance, measure key metrics, and identify optimization opportunities Nice to have Hands-on experience with Cloud Providers and their services: AWS (Bedrock, SageMaker, Textract, Polly), Azure (AI Search, OpenAI, Document Intelligence), or GCP (Vertex AI) Experience in leading data science projects from conception to deployment
We are looking for a Senior Backend Engineer with deep expertise in Java and Cloud-Native architecture to join our engineering team on a strategic project aimed at enhancing the stability, scalability, and resilience of our SaaS platform. You will be responsible for optimizing and hardening existing microservices, improving fault tolerance, and enabling platform scalability. Key Responsibilities Analyze and optimize performance-critical Java/Quarkus microservices Implement resilience patterns (e.g., circuit breakers, load shedding) Improve API efficiency through payload optimization and caching strategies Collaborate with SREs and DevOps to enhance Kubernetes deployment configurations Support migration of selected endpoints from synchronous to asynchronous models Required Skills Expert in Java, Quarkus or Sprint Boot , JPA/Hibernate with 6-7 years of experience Proficient in REST APIs, PostgreSQL, Redis or similar caching tools A proven track record of implementing resilience patterns (like Circuit Breaker) and successfully identifying and resolving performance bottlenecks in a microservices environment is essential. Familiarity with Kubernetes, Prometheus, Docker Hands-on experience with CI/CD tools (Jenkins preferred)
Responsibilities Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation. Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools. Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring. Implement and support Kubernetes-based containerization workflows, includin service deployment and resource optimization. Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD Own the full lifecycle of systems - from requirements gathering to deployment an post-release support. Troubleshoot performance and reliability issues across the stack and work on platform Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability. Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable. Requirements 5+ years of experience in software engineering and platform operations in a large-scale or enterprise environment. Strong programming skills in Java (preferred), with experience in Spring Boot or simila Frameworks. Bonus for front-end experience (React, Angular, or similar). Experience designing, deploying, and managing applications in Kubernetes and Solid background in multi-cloud architecture and automation across GCP, AWS, or Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems. Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or Experience with MySQL, Postgres, and Oracle databases Experience with infrastructure-as-code using tools like Terraform, Ansible, or similar. Strong debugging and problem-solving skills across distributed systems, APIs, and Ability to translate platform needs into maintainable, performant code and configuration. Excellent communication skills with the ability to work across engineering and Strong engineering culture Challenging projects and mature teams Personalized on-demand cross-company mentoring support enabling you to learn new things faster Plenty of opportunities to share knowledge and get more experience such as opportunity to mentor others, speak at events, and contribute to pre-sales Direct communication with the customer An individual education budget A friendly, supportive and dynamic work environment Care, comfort and fun A relocation package Flexible working hours Healthcare & sport benefits Corporate events, outstanding parties and team buildings
N-iX is looking for Lead Full Stack Engineer (#3865) to join our dynamic team and embark on a rewarding career journey Meeting with the software development team to define the scope and scale of software projects Designing software system architecture Completing data structures and design patterns Designing and implementing scalable web services, applications, and APIs Developing and maintaining internal software tools Writing low-level and high-level code Troubleshooting and bug fixing Identifying bottlenecks and improving software efficiency Collaborating with the design team on developing micro-services Writing technical documents Good communication skills High-level project management skills
Responsibilities Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation. Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools. Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring. Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization. Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD pipelines. Own the full lifecycle of systems from requirements gathering to deployment and post-release support. Troubleshoot performance and reliability issues across the stack and work on platform hardening. Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability. Contribute to architectural decisions, technical design reviews, and code reviews, mentor junior team members where applicable. Preferred Qualifications 8+ years of experience in software engineering and platform operations in a large-scale or enterprise environment. Strong programming skills in Java (preferred), with experience in Spring Boot or similar frameworks. Bonus for front-end experience (React, Angular, or similar). Experience designing, deploying, and managing applications in Kubernetes and Dockerized environments. Solid background in multi-cloud architecture and automation across GCP, AWS, or Azure. Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems. Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or similar). Experience with infrastructure-as-code using tools like Terraform, Ansible, or similar. Strong debugging and problem-solving skills across distributed systems, APIs, and infrastructure layers. Ability to translate platform needs into maintainable, performant code and configuration. Excellent communication skills with the ability to work across engineering and infrastructure domains. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits
Job Functions: You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. Youll partner with vendors and the infrastructure engineering team for security and service availability Youll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues Diagnose and solve customer technical problems Participate in training customers and prepare reports on customer issues Be responsible for customer service improvements and recommend product improvements Write support documentation Youll design and implement zero-downtime to monitor and accomplish a highly available service (99.999%) As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity Youll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically Develop and follow operational standard processes for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing Required Skills: Demonstrated ability in designing, building, refactoring and releasing software written in Java, Python. Strong experience with Big Data technologies including Hadoop, Spark, Flink, Hive, HDFS. Ability to handle data integration, bug fixing, performance optimization, and feature enhancements for distributed data pipelines. Having experience with building batch pipelines to support billion-plus-scale embedding generation for text, image and video is a big plus. Experience with data quality and governance. Having experience with vector similarity search and vector databases is a big plus. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration & performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability.
Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation. Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools. Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring. Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization. Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD pipelines. Own the full lifecycle of systems - from requirements gathering to deployment and post-release support. Troubleshoot performance and reliability issues across the stack and work on platform hardening. Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability. Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable.
You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. Youll partner with vendors and the infrastructure engineering team for security and service availability. Youll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues. Diagnose and solve customer technical problems. Participate in training customers and prepare reports on customer issues. Be responsible for customer service improvements and recommend product improvements. Write support documentation. Youll design and implement zero-downtime to monitor and accomplish a highly available service (99.999%). As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity. Youll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically. Develop and follow operational standard processes for tools and automation development, including style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards. Deliver solutions that accelerate the activities phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing. Required Skills Demonstrated ability in designing, building, refactoring and releasing software written in Python, C++. Hands-on experience with Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting. Ability to use Ray Dashboard and CLI tools for monitoring, resource tracking, debugging distributed jobs, and resolving production issues. Having knowledge of Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, and Ray Data is a big plus. Experience integrating Ray with tools such as Airflow, MLflow, Dask, DeepSpeed is a big plus. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration and performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability.
We are the AI Platform Team! We are looking for a highly motivated, self-reliant, experienced SRE and customer support engineer who is passionate about driving major transformation within the AI organization. This role will support the AI Platform and services that provide machine learning infrastructure to researchers and data scientists across the company. Youll be expected to stay in touch with the latest technology development and drive implementation of DevOps practices across the organization and provide customer support. Job Functions You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. Youll partner with vendors and the infrastructure engineering team for security and service availability. Youll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues. Diagnose and solve customer technical problems. Participate in training customers and prepare reports on customer issues. Be responsible for customer service improvements and recommend product improvements. Write support documentation. Youll design and implement zero-downtime to monitor and accomplish a highly available service (99.999%). As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. Define engineering excellence for operational maturity. Youll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically. Develop and follow operational standard processes for tools and automation development, including style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards. Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing. Required Skills: Demonstrated ability in designing, building, refactoring and releasing software written in Python. Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. Ability to handle framework-related issues, version upgrades, and compatibility with data processing / model training environments. Experience with AI/ML model training and inferencing platforms is a big plus. Experience with the LLM fine tuning system is a big plus. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing. DevOps pipeline and automations: app deployment/configuration & performance monitoring. Test automations, Jenkins CI/CD. Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. Well organized and able to manage multiple projects in a fast paced and demanding environment. Good oral/reading/writing English ability.
Responsibilities Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation. Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools. Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring. Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization. Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD pipelines. Own the full lifecycle of systems - from requirements gathering to deployment and post-release support. Troubleshoot performance and reliability issues across the stack and work on platform hardening. Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability. Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable. Requirements: 5+ years of experience in software engineering and platform operations in a large-scale or enterprise environment. Strong programming skills in Java (preferred), with experience in Spring Boot or similar Frameworks. Bonus for front-end experience (React, Angular, or similar). Experience designing, deploying, and managing applications in Kubernetes and Dockerized environments. Solid background in multi-cloud architecture and automation across GCP, AWS, or Azure. Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems. Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or similar). Experience with MySQL, Postgres, and Oracle databases Experience with infrastructure-as-code using tools like Terraform, Ansible, or similar. Strong debugging and problem-solving skills across distributed systems, APIs, and infrastructure layers. Ability to translate platform needs into maintainable, performant code and configuration. Excellent communication skills with the ability to work across engineering and infrastructure domains. Professional growth: Strong engineering culture. Challenging projects and mature teams. Personalized on-demand cross-company mentoring support enabling you to learn new things faster. Plenty of opportunities to share knowledge and get more experience, such as the opportunity to mentor others, speak at events, and contribute to pre-sales. Direct communication with the customer. An individual education budget. A friendly, supportive, and dynamic work environment. Care, comfort, and fun. A relocation package. Flexible working hours. Healthcare & sport benefits. Corporate events, outstanding parties, and team buildings.