Remote DevOps Engineer Jobs

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🔥 Junior Back-end Engineer (Python) - E-Learning

Posted 1 day ago

📍 LatAm

🧭 Full-Time

🔍 E-Learning

🏢 Company: Truelogic👥 101-250 Consulting Web Development Web Design Software

🔧 Requirements

1-3 years of experience in Python back-end development.
Strong understanding of RESTful API development and best practices.
Experience with databases (SQL and NoSQL) and ORM frameworks.
Knowledge of version control (Git) and software development best practices.
A proactive and problem-solving mindset with a willingness to take ownership of tasks.
Strong communication skills and the ability to collaborate in a team environment.
A passion for learning and growing in a fast-paced development environment.

💡 Responsibilities

Develop, test, and maintain back-end services and APIs using Python.
Work with Django, Flask, or FastAPI to build scalable applications.
Collaborate with front-end developers, DevOps, and other teams to ensure smooth system integration.
Optimize code for performance, reliability, and security.
Troubleshoot, debug, and enhance existing applications.
Take initiative in proposing improvements and best practices.
Stay up to date with the latest industry trends and emerging technologies.

Backend Development Python Software Development SQL Django Flask Git API testing FastAPI REST API Nosql

Posted 1 day ago

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🔥 Staff Data Engineer

Posted 2 days ago

📍 United States

🏢 Company: ge_externalsite

🔧 Requirements

Hands-on experience in programming languages like Java, Python or Scala and experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, etc., )
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.
Developing reusable code pipelines through CI/CD.
Hands-on experience of big data or MPP databases.
Developing and executing integrated test plans.

💡 Responsibilities

Be responsible for identifying solutions for complex data analysis and data structure.
Be responsible for creating digital thread requirements
Be responsible for change management of database artifacts to support next gen QMS applications
Be responsible for monitoring data availability and data health of complex systems
Understand industry trends and stay up to date on associated Quality and tech landscape.
Design & build technical data dictionaries and support business glossaries to analyze the datasets
This role may also work on other Quality team digital and strategic deliveries that support the business.
Perform data profiling and data analysis for source systems, manually maintained data, machine or sensor generated data and target data repositories
Design & build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
Build a variety of data loading & data transformation methods using multiple tools and technologies.
Design & build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
Manage metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.
Derive solutions and make recommendations from deep dive data analysis proactively.
Design and build Data Quality (DQ) rules.
Drives design and implementation of the roadmap.
Design and develop complex code in multiple languages.
This role may also work on other Quality team digital and strategic deliveries that support the business.

PostgreSQL Python SQL Data Analysis ETL Hadoop Java MySQL Oracle Data engineering Nosql Spark CI/CD Agile methodologies JSON Scala Data visualization Data modeling

Posted 2 days ago

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🔥 Node.js Developer

Posted 3 days ago

📍 Georgia

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Proficiency in Node.js and TypeScript for building efficient, maintainable backend services and APIs
Hands-on experience deploying and managing applications using Amazon Web Services
Demonstrable expertise in RESTful API design and implementing scalable microservices
Solid experience with SQL and NoSQL databases
Familiarity with continuous integration and deployment strategies
Ability to diagnose and improve application performance and scalability issues
Proven experience working with Scrum and Agile methodologies within self-organized, cross-functional teams
English proficiency at a professional level

💡 Responsibilities

Design, build, and maintain scalable backend services for feed enrichment using Node.js and TypeScript
Develop robust, performant APIs and microservices to support ad-serving platforms
Implement and manage backend infrastructure components on Amazon Web Services
Develop and maintain infrastructure as code using AWS CloudFormation or CDK
Write comprehensive unit, integration, and end-to-end tests ensuring reliable, maintainable, and high-quality code
Identify performance bottlenecks, implement optimizations, and ensure backend systems remain stable under high traffic
Work closely with product managers, product analysts, data engineers, and backend engineers to translate business requirements into technical solutions
Provide timely support, troubleshoot, and resolve issues affecting backend services in production environments

AWS Backend Development Node.js SQL Agile SCRUM TypeScript Amazon Web Services REST API Nosql CI/CD RESTful APIs Microservices

Posted 3 days ago

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🔥 Senior AWS DevOps Engineer (Remote, Italy)

Posted 3 days ago

📍 Italy

🔍 Software Development

🏢 Company: Nearform

🔧 Requirements

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 Python SQL Agile Cloud Computing GCP Jenkins Kubernetes Azure RDBMS Nosql Communication Skills CI/CD DevOps Terraform Microservices Ansible English communication

Posted 3 days ago

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🔥 Senior DevOps Engineer - Observability (Remote, Poland)

Posted 3 days ago

📍 Poland

🧭 Contract

🔍 Software Development

🏢 Company: Nearform

🔧 Requirements

Proficient communication in English (oral and written)
Experience delivering at an enterprise level and a remote agile environment
Experience of one or more of the following cloud platforms, AWS/Azure/GCP
Experience with observability tooling (Grafana, Datadog, Prometheus etc)
Knowledge of observability, monitoring, logging, tracing and dashboard definition/Integrations
Experience working with containers and container orchestration
Experience with infrastructure as code technology
Experience with CI and building CD pipelines
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 GCP Jenkins Kubernetes Azure Grafana Prometheus RDBMS Nosql CI/CD Linux Terraform Microservices Ansible Scripting English communication

Posted 3 days ago

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🔥 Lead Engineer – Data Export & Data Warehouse

Posted 3 days ago

📍 North America

🧭 Full-Time

🔍 Advertising

🔧 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.
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 Docker Leadership Project Management Python Software Development SQL Cloud Computing ElasticSearch Kafka Ruby on Rails Software Architecture Algorithms Data engineering Data Structures Go Redis Nosql CI/CD Problem Solving RESTful APIs Mentoring Microservices Data visualization Team management Data modeling Data management

Posted 3 days ago

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🔥 Senior Data Engineer

Posted 3 days ago

📍 Costa Rica, Brazil, Argentina, Chile, Mexico

🔍 Insider Risk Management

🏢 Company: Teramind👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software

🔧 Requirements

6+ years of experience in data engineering, with a proven track record of successfully delivering data-driven solutions.
Strong expertise in designing and building scalable data pipelines using industry-standard tools and frameworks.
Experience with big data technologies and distributed systems, such as Hadoop, Spark, or similar frameworks.
Proficient programming skills in languages such as Python, Java, or Scala, alongside a solid understanding of database management systems (SQL and NoSQL).
Understanding of data requirements for machine learning applications and how to optimize data for model training.
Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices.

💡 Responsibilities

Design and implement robust data architecture tailored for AI-driven features, ensuring it meets the evolving needs of our platform.
Build and maintain efficient data pipelines for processing user activity data, ensuring data flows seamlessly throughout our systems.
Develop comprehensive systems for data storage, retrieval, and processing, facilitating quick and reliable access to information.
Ensure high standards of data quality and availability, enabling machine learning models to produce accurate and actionable insights.
Enhance the performance and scalability of our data infrastructure to accommodate growing data demands and user activity.
Work closely with data scientists and machine learning engineers to understand their data requirements and ensure data solutions are tailored to their needs.

Python SQL Apache Hadoop ETL Machine Learning Azure Data engineering Nosql Compliance Scala Data visualization Data modeling Data management

Posted 3 days ago

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🔥 Services / AI Engineer (U.S. remote)

Posted 3 days ago

📍 United States

🔍 Software Development

🏢 Company: Quiq Inc

🔧 Requirements

Experience with dynamic languages such as Python, Node.js, Ruby or others
Solid foundation in Computer Science (BS/MS) or significant industry experience
Understanding and experience with REST, HTTP, and contract-based APIs
Database experience, with both NoSQL and relational databases
Minimum 2 years of experience as a software developer

💡 Responsibilities

Creating custom integrations and enhancements on our communications platform
Working with conversational AI designers building smart assistants
Integrating customer solutions into Quiq's web-based UI
Developing backend and frontend solutions to tailor our product to customer needs
Building AI-enabled solutions and integrations with customer systems

Backend Development Node.js Python Software Development SQL Agile Artificial Intelligence Frontend Development Git Machine Learning Ruby API testing REST API Serverless Nosql Communication Skills CI/CD Problem Solving RESTful APIs JSON

Posted 3 days ago

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🔥 SRE Leader

Posted 4 days ago

📍 India

🧭 Full-Time

🏢 Company: Weekday AI👥 1-10💰 over 3 years agoE-Commerce Fashion

🔧 Requirements

8+ years of experience in Software Engineering, DevOps, or Site Reliability Engineering (SRE).
3+ years of leadership experience, managing teams in an operational environment.
Expertise in cloud platforms such as AWS, GCP, or Azure.
Hands-on experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible.
Proficiency in programming/scripting languages such as Python, Go, or Bash.
Strong experience with Kubernetes, Docker, and container orchestration.
In-depth knowledge of monitoring, logging, and observability tools like Prometheus, Grafana, ELK, or Datadog.
Expertise in CI/CD pipelines, automation, and deployment strategies.
Strong problem-solving and analytical skills, with a data-driven approach.
Excellent communication and leadership abilities to drive collaboration and innovation.

💡 Responsibilities

Lead and mentor a team of Site Reliability Engineers (SREs), fostering a culture of operational excellence and continuous improvement.
Develop and implement SRE best practices, including monitoring, alerting, and incident response strategies.
Design and build scalable, highly available, and resilient architectures to ensure system reliability.
Collaborate closely with engineering teams to optimize system performance, reliability, and capacity planning.
Drive automation initiatives to minimize manual tasks and enhance operational efficiency.
Define and enforce SLAs, SLOs, and error budgets to maintain the right balance between reliability and development velocity.
Lead incident management, root cause analysis, and post-mortem processes, ensuring continuous improvement.
Work with security teams to uphold compliance standards and implement best practices in infrastructure and operations.
Research, evaluate, and integrate new tools, technologies, and methodologies to enhance reliability and efficiency.

AWS Docker Leadership Python SQL Bash GCP Kubernetes Azure Go Grafana Prometheus Nosql Analytical Skills CI/CD Problem Solving DevOps Terraform Microservices Networking Ansible Software Engineering

Posted 4 days ago

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🔥 Backend Software Engineer (Python, Typescript, Flask, Docker)

Posted 4 days ago

📍 Portugal

🔍 Software Development

🏢 Company: BytePitch - Software Labs

🔧 Requirements

More than 3 years of experience in similar functions
Familiar with service-oriented architectures, design patterns and data structures
Competent in test automation, continuous integration and continuous delivery
Proficient in building performance applications and monitoring them, showing that you care about your code
Expert in relational and non-relational databases (SQL and NoSQL)
Solid experience with frameworks such as AWS and Flask
A very good command of different programming languages such as Python and Typescript
Familiar with containerisation using Docker
Experience with Unix/Linux environments
Skilled in building highly concurrent, transactional and resilient services
Blockchain knowledge is valued
Acquainted with agile methodologies such as Scrum, Kanban and DevOps
Fluent in English

💡 Responsibilities

Designing, developing, testing, and maintaining backend components and systems to support our software applications
Creating efficient and secure APIs facilitating communication between the front-end and various services
Design and optimise databases, write complex SQL queries, and work with relational and NoSQL databases
Build systems that can handle high-traffic loads and scale horizontally as needed
Identify and resolve performance bottlenecks and continuously improve system performance
Implement security best practices to protect data and systems from potential threats and vulnerabilities
Write unit tests, conduct thorough testing, and troubleshoot issues to ensure the reliability of backend systems
Work closely with Frontend developers, DevOps engineers, and other team members to deliver integrated solutions
Create clear and concise technical documentation for backend systems, APIs, and processes
Stay up-to-date with the latest backend development trends, and best practices

AWS Backend Development Docker Python SQL Design Patterns Flask TypeScript Data Structures Nosql Communication Skills CI/CD Agile methodologies RESTful APIs Microservices Software Engineering Data management

Posted 4 days ago

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