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DevOps

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1,304 jobs found.

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🔥 Developer Experience Engineer

Posted 20 minutes ago

📍 United Kingdom

🔍 Fintech

🔧 Requirements

Located in the United Kingdom (UK).
Proven experience in CI/CD and/or release engineering/management (or equivalent).
Strong programming skills in TypeScript, Node.js, and test-driven development.
Excellent verbal and written communication skills, with the ability to articulate thoughts, explain concepts, and engage effectively with individuals of varying backgrounds and expertise.
Proficiency with Kubernetes and Helm as both a user and developer.
Familiarity with Kafka, Postgres, Zookeeper, MongoDB, and Redis.
Excellent problem-solving skills, with a proactive, automation-first approach.
Ability to work independently, manage multiple tasks, and context switch effectively.
Strong collaboration skills to work effectively with others across teams and regions.

💡 Responsibilities

Manage and enhance CI/CD pipelines with an automation-first mindset.
Develop and maintain modular, testable scripts in TypeScript/Node.js.
Provide proactive support to developers and testers, focusing on automation to unblock and prevent recurring issues.
Contribute to the development and optimization of applications running in Kubernetes.
Develop and maintain infrastructure tools, including Kafka, Postgres, Zookeeper, MongoDB, and Redis.
Optimize processes and infrastructure for cost reduction, speed, and reliability.
Collaborate with teams across the organization to ensure seamless DevOps processes.
Address smaller tasks and quick wins to alleviate pressure on the team and enhance overall productivity.

Node.js PostgreSQL Kafka Kubernetes MongoDB TypeScript Redis Release Management CI/CD DevOps Scripting

Posted 20 minutes ago

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🔥 Product Designer, AI Framework

Posted 29 minutes ago

📍 Americas

💸 100000.0 - 155000.0 USD per year

🔍 Software Development

🏢 Company: GitLab👥 1001-5000💰 $268,000,000 Series E over 5 years ago🫂 Last layoff about 2 years agoDeveloper Tools DevOps Open Source SaaS Cloud Security

🔧 Requirements

Experience with and excitement for working on AI products
Understanding of DevSecOps and SDLC.
Experience conducting your own research with a variety of methods

💡 Responsibilities

Work on AI products such as Duo Chat, Code Suggestions and Duo Workflow.
Collaborate with Product Managers, Engineering Managers, Technical Writers, UX Researchers and other Product Designers.
Contribute to our Pajamas Design System by creating or co-creating design system components.

Artificial Intelligence Figma UI Design User Experience Design Product design RESTful APIs DevOps Research Prototyping

Posted 29 minutes ago

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🔥 Machine Learning Ops Engineer

Posted about 1 hour ago

📍 US

🧭 Full-Time

🔍 Software Development

🏢 Company: Weave👥 501-1000💰 $70,000,000 Series D over 5 years agoMedical SaaS VoIP Unified Communications Small and Medium Businesses Software

🔧 Requirements

5+ years of experience in any structured back-end language, i.e. Go, Java or Python (Go and Python experience is a plus).
Experience moving and storing TBs of data or 100M’s to 10B’s of records.
Demonstrated experience with common MLOps technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others.
Experience with data labelling or annotation for audio or NLP use cases.
Understanding of distributed systems and building scalable, redundant, and observable services.
Expertise in designing and architecting systems for distributed data sets and services
Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP, etc.).
Experience providing stable well designed libraries and SDKs for internal use.
Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments.

💡 Responsibilities

Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end.
Build scalable, resilient services to support data integration, event processing, and platform extensions.
Contribute to the continued evolution of product functionality that services large amounts of data and traffic.
Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce.
Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices.
Work in a cloud environment, considering the implementation of functionality through several distributed components and services.
Work with our stakeholders to translate product goals into actionable engineering plans.

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing Data Analysis GCP Git Kubernetes Machine Learning MLFlow API testing Data engineering Data science Go REST API CI/CD DevOps Microservices Data visualization Data modeling

Posted about 1 hour ago

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🔥 Senior QA Software Engineer

Posted about 1 hour ago

📍 India

🔧 Requirements

Hold a bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Have 5+ years of experience in QA
Proficient in at least one programming language: C, C++, Java, Go, or Python.
Experience with Pytest, postman/jmeter, redis, mysql, Linux commands.
Capable of writing test scripts and conducting performance testing for automated QA processes.
Demonstrating Strong problem-solving and debugging skills
Understand engineering best practices and agile development methodologies.
Communicate and collaborate effectively across teams to achieve shared goals.

💡 Responsibilities

Collaborate with engineering and data teams to ensure product quality throughout the entire lifecycle, from inception to delivery.
Understand requirements, define testing strategies, design and execute tests for web, api, backend functions of the software applications.
Conduct regression testing and participate in release cycles to ensure software stability.
Identify, document, and track bugs using tools like JIRA, DevOps
Assist in setting up automated test scripts (python,shell, etc.).
Work closely with the Engineering team to promptly address user feedback.

Python JMeter MySQL QA QA Automation API testing REST API Redis Regression testing TestRail CI/CD Problem Solving Agile methodologies Linux DevOps Scripting Debugging

Posted about 1 hour ago

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🔥 Core Telecom Implementation Engineer - Remote - Only Mexico

Posted about 2 hours ago

📍 Mexico

🧭 Contract

🔍 Telecom

🏢 Company: Scalepex👥 11-50 Staffing Agency Finance Professional Services

🔧 Requirements

5 to 10 years of experience in telecom core network implementation and project management
Strong understanding of Packet Core, VNF concepts, 5G, Cloud migration, AWS integration, IMS/SDL concepts, and architecture
Experienced leading migration projects from VFN to CNF
Ability to work independently while managing complex telecom projects.
Strong technical and project leadership skills.
Excellent communication skills in English (Advanced/Fluent level required)

💡 Responsibilities

Manage and oversee telecom core network projects, ensuring alignment with customer expectations.
Implement and maintain core network services, ensuring seamless deployment and integration.
Handle technical requests related to Chain Requests, IW, SSNC, Stale Alarm Patch, NTAS, IMS, CBAM, CBIS Manager, and NCS.
Lead Core Windows Implementation, ensuring system stability and efficiency.
Conduct Handoff to Product Teams, facilitating smooth transitions and knowledge sharing.
Perform horizontal testing to validate system performance.
Deliver technical sessions for the implementation of services and products in the core network.
Work with Nokia Mediation Platform, ensuring optimal configurations and deployment.
Participate in pre-sales and sales activities, providing technical insights to support business objectives.
Maintain effective customer communication, handling complaints, corrective actions, and evolving requirements.
Continuously seek improvements in quality assurance and customer satisfaction.

AWS Leadership Project Management SQL Cloud Computing Project Coordination Communication Skills CI/CD Customer service Agile methodologies Linux DevOps Terraform Excellent communication skills Strong communication skills

Posted about 2 hours ago

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🔥 Vulnerability Researcher (Remote)

Posted about 2 hours ago

📍 United States, United Kingdom

🧭 Full-Time

💸 150000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: runZero

🔧 Requirements

Hands-on experience with common vulnerability classes and exploitation techniques
Familiarity with CVE (Common Vulnerabilities and Exposures), CWE (Common Weakness Enumeration), and CVSS (Common Vulnerability Scoring System)
Experience using vulnerability and compliance scanning tools
Solid grasp of security advisories, vulnerability exploitation, and threat impact
Knowledge of regular expressions (regex) and SQL for querying large databases
Experience collaborating with engineers on automated tooling and detection rules
Familiarity with Git, GitHub, CI/CD processes
Familiarity with at least one programming language and the ability to use it to automate tasks (e.g. Python, Ruby, or Go)
Go experience is a big plus

💡 Responsibilities

Research current vulnerabilities and exploits using trusted sources and stay up to date with threat intelligence
Proactively monitor security-related information sources to discover new vulnerabilities and attack vectors
Apply analytical expertise to investigate malware, phishing, mobile, and brand threats, delivering actionable vulnerability intelligence
Assess the impact of vulnerabilities on critical systems and advise stakeholders on remediation strategies
Build custom detection rules, identify unique attack attributes, and surface vulnerable internet-connected assets
Research and develop new exploits and attack techniques
Produce root cause analyses and technical reports, clearly communicating findings to both technical and non-technical audiences
Work with engineers to develop vulnerability checks, fingerprints, queries, and detections
Collaborate with the engineering team to add findings to the codebase, ideally in Golang

Python SQL Cybersecurity Git Go Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs Linux DevOps Research JSON Scripting Debugging

Posted about 2 hours ago

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🔥 Senior AI Engineer

Posted about 3 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4-6+ years in a similar Machine Learning or Data Scientist role, including 2+ years experience in LLMs.
Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML and AI systems from the ground up.
Demonstrated experience building AI apps in production.
Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn, Pandas)
Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures and tools (Llamaindex, vector databases, Transformers, Langchain etc)
Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge.
Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering.
Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders.
Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy
Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress
Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis
Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
A strong driver to stay ahead of the curve with GenAI research and apply those insights to build real-world applications.

💡 Responsibilities

Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience.
Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks.
Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models (e.g. OpenAI, Anthropic, open source models).
Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction.
Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning.
Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform.
Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability.
Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

Python SQL ETL Machine Learning Numpy PyTorch Data engineering Data science Pandas Spark Tensorflow CI/CD RESTful APIs DevOps

Posted about 3 hours ago

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🔥 Lead Full Stack Engineer

Posted about 3 hours ago

📍 Any country

🧭 Full-Time

🔍 LegalTech/Utilities

🏢 Company: Ruby Labs👥 11-50 Media and Entertainment Mobile Apps Software

🔧 Requirements

Expertise in JavaScript/TypeScript and ReactJS for building modern and responsive user interfaces.
Experience developing and deploying full-stack applications using NextJS.
Proficiency in setting up and managing CI/CD pipelines, along with experience with Docker, Cloudflare, and AWS cloud services.
Solid understanding of database concepts and experience working with PostgreSQL and Redis.
Familiarity with A/B testing methodologies and using analytics to measure performance and optimize campaigns.
Excellent communication skills and the ability to work collaboratively in a team environment.
Strong problem-solving skills and the ability to think critically about complex technical challenges.

💡 Responsibilities

Lead and mentor a team of developers.
Design and scale project architectures.
Optimize team productivity.
Integrate third-party services.
Resolve conflicts and address project challenges.
Ensure high code and product quality.
Prioritize tasks strategically.
Maintain and improve existing code.
Ensure stability and performance of high-load projects.

AWS Docker Leadership PostgreSQL Data Analysis Full Stack Development Javascript React.js TypeScript Redis Next.js CI/CD Mentoring DevOps A/B testing

Posted about 3 hours ago

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🔥 Lead Engineer- Stats and Analytics, Data Externalization

Posted about 3 hours ago

📍 North America

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Extensive experience with big data processing, ideally at the scale of terabytes or more.
Strong technical leadership skills with a proven ability to define and drive long-term engineering strategies.
Hybrid expertise in data engineering and software development – not just someone who runs queries, but someone who has built scalable data systems and engineering solutions.
Hands-on experience with data warehouse technologies is highly desirable.
Bonus: Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms.
Track record of building and scaling robust data pipelines and systems in production environments.
An ability to think strategically, lead technically, and inspire the team toward delivering high-impact, scalable solutions.

💡 Responsibilities

Architect scalable low-latency backend systems and data pipelines.
Write code as needed to support the team.
Lead and mentor a team of talented engineers within the backend distributed systems team
Make a positive impact on the team's productivity and growth
Promote software development best-practices and conduct rigorous code reviews
Rigorously identify and solve technical challenges
Conduct interviews to attract and identify potential high performing candidates
Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved

AWS Backend Development Leadership Project Management Software Development SQL ElasticSearch Kafka Ruby on Rails Software Architecture Data engineering Go Redis Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Mentoring DevOps Team management Data modeling Software Engineering Data management

Posted about 3 hours ago

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🔥 Senior AWS DevOps Engineer (Remote, Romania)

Posted about 13 hours ago

📍 Romania

🔍 Software Development

🏢 Company: Nearform

🔧 Requirements

Proficient communication in English (oral and written)
Experience delivering at an enterprise level and a remote agile environment.
Experience managing and automating complex platforms/applications on AWS, Azure and GCP highly desirable
Experience working with containers and container orchestration, ideally including Kubernetes K8s
Experience with infrastructure as code technology, ideally with Terraform/CloudFormation
Experience with CI and building CD pipelines, ideally with Github Actions, Jenkins
Experience in scripting and automating processes using Python
Data storage experience with RDBMS and NoSQL technologies
Solid understanding of observability practices across the stack
Strong understanding of security best practices across CI/CD pipelines, cloud infrastructure, and microservices.
Ability to clearly articulate technical concepts to both technical and non-technical audiences.
Exceptional communication and collaboration skills to work with stakeholders, feeling comfortable in client-facing roles where you will drive technical discussions and advise on best practices and approaches.

💡 Responsibilities

Develop infrastructure to support cloud-based applications
Create deployment architect and continuous delivery pipelines
Design high-availability approaches
Implement monitoring architecture (dashboards, alerts, escalations)

AWS Docker Python GCP Jenkins Kubernetes Azure RDBMS Nosql CI/CD DevOps Terraform Microservices Ansible

Posted about 13 hours ago

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