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DevOps

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790 jobs found.

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🔥 Senior Growth Engineer

Posted 32 minutes ago

📍 United States

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Email Security

🏢 Company: Valimail

🔧 Requirements

4+ years of experience with Python, SQL, or similar languages, with hands-on experience in automation and data flow management in platforms like Snowflake, Segment, Zapier, and Planhat.
2+ years in an operations role supporting Sales, Marketing, Customer Success, or Finance, with a demonstrated ability to align data operations with strategic business goals.
Required proficiency in Snowflake, Segment (or other CDP solutions), and BI tools (e.g., Sigma, PowerBI).
Familiarity with Zapier, Planhat (or similar tools such as Gainsight or ChurnZero), Salesforce, and Atlassian are a plus.

💡 Responsibilities

Oversee and optimize data flow across core platforms, including Snowflake, Sigma, Segment, Salesforce, and Planhat, ensuring seamless integration and reliable data access for cross-functional teams.
Build strong, collaborative relationships with Marketing, Sales, Finance, Product, and Engineering, facilitating data-driven insights and project alignment across departments.
Analyze customer data to derive insights that inform strategic decision-making, delivering actionable reports that support growth objectives.
Spearhead automation and optimization projects, implementing solutions that improve data flow and system efficiency.
Lead key cross-functional initiatives, ensuring smooth execution and alignment across multiple departments.
Provide valuable insights and recommendations to leadership, aligning data-driven findings with broader business objectives.
Tackle a wide range of tasks, from technical troubleshooting to strategic planning and cross-departmental collaboration.

Project Management Python SQL Business Intelligence Data Analysis ETL Salesforce Snowflake Operations Management API testing Data engineering REST API Communication Skills Analytical Skills CI/CD Problem Solving DevOps Cross-functional collaboration Data visualization Strategic thinking Data modeling Data management

Posted 32 minutes ago

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🔥 Site Reliability Engineer

Posted about 1 hour ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: TCGPlayer_External_Career

🔧 Requirements

5+ years of experience in Site Reliability Engineering or related roles
Experience with an enterprise monitoring solution (New Relic, Scalyr, Datadog, Etc)
Experience managing Linux and/or Windows environments
Experience with IaaS and PaaS solutions (i.e. AWS, GCP, Azure, etc.)
Experience with Infrastructure as Code (Terraform or Helm)
Knowledge of Kubernetes / ECS orchestration, and containerization (e.g. Docker)
Demonstrable expertise around specifying, designing and/or implementing system health, performance monitoring tools and software management tools for 24x7 environments
Proficiency in writing code / scripts to automate tasks
Excellent critical thinking and solving skills

💡 Responsibilities

Innovate, build, and evangelize the practice of site reliability so that TCGPlayer can deliver excellent customer experiences.
Define and measure key performance metrics, such as SLAs and Mean Time Between Failures (MTBF), using those metrics to identify trends and measure the impact on the business.
Develop and maintain up-to-date operational procedures, including runbooks, to adapt to evolving needs.
Anticipate system failures through practices like chaos engineering and tabletop exercises, and establish processes to learn from operational incidents.
Foster strong relationships within the team and across departments while cultivating a communicative, supportive, and results-oriented culture.

AWS Docker Cloud Computing GCP Kubernetes Azure CI/CD RESTful APIs Linux DevOps Terraform Microservices Scripting

Posted about 1 hour ago

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🔥 Manager, DevOps and Security

Posted about 2 hours ago

📍 Canada

🧭 Full-Time

💸 175000.0 - 200000.0 CAD per year

🔍 Software Development

🏢 Company: Procurify

🔧 Requirements

5+ years of DevOps, Security, DevSecOps experience, shipping and supporting enterprise grade software in AWS
Experience managing a team of engineers and growing leadership on the team
Building a product at scale on top of AWS
Experience running a containerized application in Kubernetes
Experience working with SIEM tools
Deep knowledge of continuous integration and deployment tools and practices using tools like CircleCI and/or ArgoCD
Managing a web-based SaaS application collaboratively with application engineering teams
Experience with developing and managing infrastructure as code with Terraform
Expert knowledge of monitoring stacks like EFK, Grafana/ Prometheus
Experience working in a highly secure environment with compliance requirements such as SOC 2 or ISO27001
Strong communication and consensus building skills
Demonstrated track record of leaving every team and process better than you found it

💡 Responsibilities

Managing 4-8 DevOps, Security, and Site Reliability Engineers.
Working on a world-class tech stack that will support the company’s growth
Working with engineering teams to shift security left in the software development cycle and helping us create security-as-code.
Growing a culture of security-first thinking and helping grow security leadership across the organization
Managing our security incident response team to ensure prompt and thorough responses for ourselves and our customers
Operating our Security information and event management system to manage threats to Procurify
Collaborating with leadership roles across our engineering organization to support DevSecOps best practices and to enable those teams to own their own infrastructure. We use Terraform Cloud to help facilitate this for our teams.
Joining annual hackathons and immersing yourself in all things fintech innovation.
Rotating between projects and committing to continuous learning with our lean kanban processes.
Helping your team build relationships across functions with Development, Product, Operations, Support and other teams to ensure Procurify's continuing success.
Articulate and quantify cybersecurity risks through comprehensive metrics, ensuring effective communication to leadership for informed decision-making.

AWS Python AWS EKS Bash Kibana Kubernetes REST API CI/CD Linux DevOps Terraform Compliance JSON Ansible

Posted about 2 hours ago

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🔥 Engineering Manager

Posted about 2 hours ago

📍 Argentina

🧭 Full-Time

🔍 Software Development

🏢 Company: Harness

🔧 Requirements

Experience managing an engineering team, with a strong focus on people development.
Background in engineering leadership, with hands-on experience in software development (coding is not required but valued).
Knowledge of Agile methodologies and experience running sprints.
Ability to prioritize and manage both engineering and business-driven initiatives.
Strong collaboration skills with Product teams and other stakeholders.
Experience with feature flagging is a plus but not required.

💡 Responsibilities

Lead and support a team of engineers, focusing on their growth and development.
Work closely with Product to prioritize initiatives, balancing business needs with engineering-driven improvements.
Drive execution by ensuring clear goals, efficient sprint planning, and strong team collaboration.
Ensure alignment between engineering efforts and business priorities.
Foster a culture of accountability, quality, and continuous improvement.
Provide technical and process guidance, ensuring best practices in development and Agile methodologies.
Onboard new engineers and help integrate them into the team’s mission and workflows.

AWS Backend Development Leadership PostgreSQL Project Management Python Software Development SQL Agile Frontend Development GCP Kubernetes People Management Product Management Cross-functional Team Leadership Communication Skills Analytical Skills Collaboration CI/CD Agile methodologies RESTful APIs Mentoring DevOps Microservices Team management Technical support NodeJS Software Engineering Data management Debugging

Posted about 2 hours ago

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🔥 Plant Engineering Manager (Remote Eligible, U.S)

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 128000.0 - 202000.0 USD per year

🔍 Nuclear

🏢 Company: vernova_externalsite

🔧 Requirements

Bachelor of Science in Engineering, Physics, Mathematics or related Science or technical discipline.
At least 12 years of progressive experience in engineering design and/or project leadership experience.
At least 8 years of experience in the nuclear industry or equivalent large scale new build experience in the power industry.

💡 Responsibilities

Report solid line to the Senior Manager, Plant Systems.
Provide leadership and accountability for a diverse team of civil, mechanical, instrumentation, controls systems, electrical systems, and nuclear design engineers.
You will drive work across engineering teams to assure that proposals and early works packages are aligned with our standard offering. You will ensure the team identifies any technical departures and then work with other engineering teams to provide costs, cycle times and risks for the planned offering.
Responsible for supporting proposal and early works estimates, schedules, and risk register associated with each opportunity.
You be responsible to establish and maintain effective discipline specific design interfaces and document these in deliverables that become part of proposals and/or contracts.
Ensure the development of the teams technical and leadership talent/depth.
Establish and maintain strong working relationship with other internal engineering team managers, business leaders, project and product managers and other stakeholders.
Interface with external partners, customers, and other applicable country specific regulatory agencies, as required on technical issues.
Coordinate engineering interfaces and drive timely resolution of technical project issues with multiple engineering disciplines, business project management, partners, subcontractors, and customers.
Provide leadership supporting performance and program management of assigned work and ensure on-time fulfillment of engineering commitments in accordance with contract requirements, business procedures, industry standards and regulatory agency guidelines.
Support the planning, organization, and management of the delivery of technical activities/tasks in support of engineering deliverables.
Provide guidance and manage external resources to ensure the quality of deliverables, enable flexibility and improved cost positions.
Support commercial and marketing opportunities to develop new business opportunities.
Protect the Intellectual Property rights of GEVH.
Support GEVH initiatives, process improvement and simplification.
Ensure adherence to GEVH’s standards for nuclear safety and compliance.
Partner with business teams and present product/program strategies, technical roadmaps, risks, and recommendations to senior leads across GEVH.

Leadership Project Management People Management Project Coordination Strategy Business Operations Communication Skills Analytical Skills CI/CD Agile methodologies DevOps Risk Management Team management Stakeholder management Change Management

Posted about 2 hours ago

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🔥 Technical Operations Engineer

Posted about 4 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

2+ years in a TechOps, IT, Engineering, or DevOps role
Proficiency in Python or JavaScript plus basic software engineering knowledge
Strong SQL skills and knowledge of database technologies
Experience working with APIs
Experience with automation tools like Cypress or similar
Experience with version control and CI/CD pipelines
Experience working with AI and LLMs
Familiarity with macOS and IT management
Familiarity with monitoring tools such as Datadog and Sentry
Familiarity with cloud platforms such as AWS, Azure, or GCP
Familiarity with containerization and orchestration tools such as Docker and Kubernetes
Understanding of networking concepts, including TCP/IP, DNS, and load balancing

💡 Responsibilities

Write code and tools to streamline operations
Act as a primary responder to technical incidents
Support internal IT processes
Monitor system performance
Ensure systems adhere to security best practices
Work closely with Engineering, Customer Support, and Product teams
Maintain comprehensive documentation

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Javascript Kubernetes API testing Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs DevOps Written communication Networking

Posted about 4 hours ago

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🔥 Software Engineer

Posted about 4 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

Modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS
Test and automation tools like Jest and Cypress
DevOps and continuous integration/delivery best practices
Information security best practices
Collaborating on all aspects of product strategy and UX
Shaping a young tech stack, product, and engineering organization

💡 Responsibilities

Be a core technical contributor at a Series B-stage company as it scales
Contribute to the end-to-end development of features
Bring a mindset of continuous improvement to your work

AWS GraphQL Node.js PostgreSQL Cypress Jest TypeScript React CI/CD RESTful APIs DevOps Software Engineering

Posted about 4 hours ago

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🔥 Senior Software Engineer, AI

Posted about 4 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

5+ years of engineering experience
Excitement for product-focused application of ML/AI - this will be a production-focused role
Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
Experience in developing, testing, evaluating and deploying ML models
Ability to collaborate on all aspects of product strategy and UX
Experience shaping an early stage tech stack and product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B company as it scales.
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWS Backend Development GraphQL PostgreSQL Python SQL Artificial Intelligence Cloud Computing Data Analysis Data Mining Full Stack Development Git Keras Machine Learning Numpy PyTorch React.js Software Architecture TypeScript Data engineering REST API Pandas React Tensorflow CI/CD DevOps NodeJS Software Engineering

Posted about 4 hours ago

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🔥 Senior Software Engineer

Posted about 4 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

Experience with modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS
Architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification (ML experience is a plus)
Test and automation tools like Jest and Cypress
DevOps and continuous integration/delivery best practices
Information security best practices
Collaborating on all aspects of product strategy and UX
Shaping a young tech stack, product, and engineering organization

💡 Responsibilities

Be an essential technical contributor at a Series B-stage company as it scales
Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches
Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor

AWS Backend Development GraphQL Node.js PostgreSQL Software Development Cypress Full Stack Development Jest React.js Software Architecture TypeScript React CI/CD RESTful APIs DevOps

Posted about 4 hours ago

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🔥 Machine Learning Engineer (LLMs)

Posted about 5 hours ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly

🔧 Requirements

3+ years experience with deployment and maintenance of Machine Learning models in production
Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
PyData stack along with quick frontend frameworks e.g. streamlit.
Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
Proven track record of development of data and machine learning pipelines.
Knowledge of Linux/Unix system, shell scripting.
Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
Culture of DevOps and high-quality software standards.
Fluency in English.

💡 Responsibilities

Operationalization of Machine Learning Models
Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
Tooling, Infrastructure & Experimentation Support
Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
Continuous Learning
Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWS Python SQL Bash Cloud Computing Kubernetes Machine Learning PyTorch Data science REST API Tensorflow CI/CD Linux DevOps Microservices

Posted about 5 hours ago

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