Remote DevOps Engineer Jobs

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🔥 Job Application for Senior Staff CSIRT Analyst at Zscaler

Posted 2 days ago

📍 USA

🧭 Full-Time

💸 136500.0 - 195000.0 USD per year

🔍 Cybersecurity

🏢 Company: Zscaler

🔧 Requirements

8+ years of experience in incident response, computer forensics, or related fields, with expertise in managing and leading formal threat hunt programs
Skilled in developing detection capabilities using tools like Elastic (ELK) and Google Chronicle
Strong understanding of key security frameworks, including MITRE ATT&CK and the Cyber Kill Chain
Demonstrated ability to effectively manage multiple priorities and deadlines in fast-paced settings

💡 Responsibilities

Lead incident response efforts (triage, containment, eradication, recovery, and post-incident activities) and perform threat hunting to investigate and address potential threats
Analyze malware and vulnerabilities (e.g., CVEs) to determine behavior, impact, and generate IOCs, while developing and implementing detection capabilities using SIEM/SOAR tools
Work with cross-functional teams to refine incident response playbooks, collaborate with external partners for threat intelligence sharing, and deliver training to educate stakeholders on best practices
Provide technical guidance and mentorship to junior team members while staying updated on emerging threats, vulnerabilities, and technologies to enhance incident response strategies
Participate in tabletop exercises and simulations to test incident response plans and deliver programs that raise awareness about security practices

AWS Cloud Computing Cybersecurity ElasticSearch Kibana Azure Linux Scripting

Posted 2 days ago

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🔥 Cloud Engineer - Remote

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 90000.0 - 120000.0 USD per year

🔍 Software Development

🏢 Company: Mindex👥 501-1000 Internet Crowdsourcing Artificial Intelligence (AI)Video

🔧 Requirements

4+ years of hands-on experience with AWS cloud infrastructure and services.
Proven expertise in cloud migration methodologies and best practices.
Strong understanding of cloud security principles and best practices.
Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.
Experience with configuration management tools (e.g., Ansible, Chef, Puppet).
Scripting skills in Python or other relevant languages.
Excellent communication, interpersonal, and problem-solving skills.
Strong focus on exceptional customer service.
Aptitude and desire to work in a highly collaborative, self-organizing, team environment.
Highly organized & accurate.

💡 Responsibilities

Lead and execute the migration of client workloads to AWS, encompassing assessment, planning, design, implementation, and optimization phases.
Provide proactive monitoring, management, and support for client cloud environments, ensuring high availability, security, and performance.
Design and implement scalable, resilient, and secure cloud architectures on AWS, leveraging best practices and industry standards.
Champion automation initiatives, develop and implement Infrastructure-as-Code (IaC) solutions, and promote DevOps principles.
Build strong relationships with clients, acting as a trusted advisor and technical expert. Effectively communicate complex technical concepts to both technical and non-technical audiences.
Proactively identify opportunities to optimize cloud environments, improve operational efficiency, and enhance service delivery.
Design and implement security measures, including network security, identity and access management, encryption, data protection and adherence to industry compliance standards.
Diagnose and resolve complex cloud-related issues, identify root causes, and address incidents to reduce downtime effectively.
Stay up to date with the latest trends and advancements in cloud technologies, migration strategies, and architectural patterns. Evaluate emerging technologies and recommend their adoption to enhance cloud architecture capabilities and drive innovation.

AWS Python SQL Cloud Computing DynamoDB ElasticSearch Kubernetes Microsoft Active Directory RDBMS CI/CD RESTful APIs Linux DevOps Terraform Ansible Scripting

Posted 2 days ago

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🔥 Senior Software Engineer

Posted 3 days ago

📍 India

🔍 Software Development

🏢 Company: YipitData👥 251-500💰 Debt Financing 10 months agoMarket Research Analytics Data Visualization

🔧 Requirements

Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
Solid computer foundation and programming skills, familiar with common data structures and algorithms.
Excellent in one of the following languages: Go/Python/C/C++/Java.
Familiar with one of open source components: Mysql/PostgreSQL/Redis/Kafka/ElasticSearch/Message Queue/Nosql.
Experience in architecture and developing large-scale distributed systems.
Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
Familiarity with ERP systems.

💡 Responsibilities

Implement connectors to fetch ERP data.
Implement or upgrade backend APIs
Take charge of the ERP system’s data storage.
Design technical solutions
Maintain existing services
Work with US/SG/China teams

AWS Backend Development Docker PostgreSQL Python Software Development SQL Cloud Computing ElasticSearch GCP Java Kafka Kubernetes MySQL C++Algorithms Data engineering Data Structures Go REST API Redis Communication Skills Analytical Skills CI/CD Problem Solving Agile methodologies RESTful APIs Linux DevOps Microservices Excellent communication skills Data visualization Data modeling Scripting Data analytics Data management Debugging

Posted 3 days ago

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🔥 Sr. Technical Product Manager, Personalization

Posted 3 days ago

📍 US

💸 135000.0 - 186000.0 USD per year

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D about 4 years agoMedia and Entertainment Music Machine Learning Software

🔧 Requirements

Minimum 5 years of experience building and shipping AI/ML-driven personalization products at scale with teams of full-stack engineers, designers, and data scientists.
Deep understanding of search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning models.
Proven track record with making data-informed decisions, experimentation-driven decision-making, data analysis, and defining metrics.
Strong relationship-building abilities and a collaborative mindset; skilled at partnering with direct and cross-functional teams, aligning stakeholders, achieving consensus, and driving impactful results.
Experience delivering products end-to-end that drive measurable business outcomes.
Strong understanding of design principles, UX/UI, usability, and user experience mapping.

💡 Responsibilities

Develop and own the product vision, strategy, and roadmap for Search & Personalization.
Partner closely with engineering and data science teams to ship products and features that enhance user engagement, improve the user’s search experience, and drive value through deeply personalized experiences.
Translate complex technical capabilities into clear product requirements and prioritize them effectively.
Design and implement A/B tests and multivariate experiments to improve key metrics such as activation rates, user engagement, and retention.
Communicate effectively with stakeholders at all levels of the organization, presenting findings and driving consensus on experimentation priorities.
Partner with design to create intuitive user experiences that make discovery seamless and enjoyable.
Define and track key performance metrics (KPIs) to evaluate success and drive continuous improvement.
Conduct user research and analyze behavioral data to deeply understand user needs and inform product decisions.
Communicate product strategy, goals, and updates to stakeholders across the organization, including leadership.
Analyze experiment results, draw actionable insights, and make recommendations for product enhancements and iterations.
Stay up to date with industry trends and technologies to keep Splice at the forefront of Search & Personalization innovation.

SQL Data Analysis ElasticSearch Machine Learning Product Management User Experience Design A/B testing

Posted 3 days ago

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🔥 Principal Technical Product Manager, Personalization

Posted 3 days ago

📍 United States

💸 181705.0 - 227000.0 USD per year

🔍 Music

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D about 4 years agoMedia and Entertainment Music Machine Learning Software

🔧 Requirements

7-10 years of experience leading AI/ML-driven personalization or search product development at scale, including direct experience with recommendation engines, search relevance, and ranking algorithms.
Expertise in search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning techniques.
Proven track record of driving business impact through AI-powered product initiatives, with experience influencing executives and aligning teams around a shared vision.
Strong analytical skills with experience designing and interpreting A/B tests, analyzing large data sets, and using data to drive decision-making.
Exceptional ability to partner with engineering, data science, design, and business stakeholders to deliver high-quality, scalable solutions.
Deep understanding of user behavior, design principles, and usability best practices in digital discovery experiences.

💡 Responsibilities

Envision and define personalized sound discovery experiences, tailored to each customer's intent, that operates seamlessly across Splice’s products.
Drive roadmap to implement recommendation experiences, invent ways to multiply the rate of innovation across the company on behalf of our customers.
Establish a robust experimentation framework, designing and implementing A/B tests to measure and optimize key performance metrics such as relevance, engagement, customer activation and retention.
Work with a team of engineers, data scientists, engineering managers, and designers to define and execute a product roadmap to understand customers' intent and help complete their sound discovery missions.
Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints.
Clearly communicate goals, requirements, roadmaps, and timelines to internal cross-functional in a fully remote environment.
Serve as a thought leader and technical expert, working closely with engineering and data science to develop cutting-edge recommendation experiences.
Monitor industry trends and advancements in AI, search, and recommendation systems, bringing innovative ideas to Splice to maintain a competitive edge.
Mentor and guide cross-functional team members, fostering a culture of excellence and high-impact execution.

Business Intelligence Data Analysis ElasticSearch Machine Learning Product Management Algorithms Data science Data visualization A/B testing

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 Cloud Infrastructure Engineer

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 115000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Taskrabbit👥 251-500💰 Secondary Market over 9 years agoMarketplace E-Commerce Janitorial Service Facilities Support Services Freight Service Peer to Peer Sharing Economy

🔧 Requirements

At least 5+ years of experience in Infrastructure and DevOps Space.
Experience with build automation and configuration management tools (e.g. Ansible, Puppet, Chef.)
Strong knowledge of the Amazon Web Services (AWS) ecosystem and other core AWS technologies, ElasticSearch Service, RDS, WAF, CloudFront, Kubernetes etc.
You have worked with common infrastructure tools like Docker, Terraform, Helm, Github Actions, ArgoCD
Experience with a microservice architecture running in containers (Docker or other containerisation technology)
Experience supporting 24x7, high availability internet application environments that include web, application, and database servers and load balancing systems.
Experience working with a product that has end-users
Bachelor's degree or higher in Computer Science, or equivalent experience

💡 Responsibilities

Building and maintaining CI / CD pipelines from scratch for testing and releasing configuration and software.
Monitor and resolve issues in all environments using tools such as DataDog, PagerDuty, AWS logs.
Engage in capacity planning and demand forecasting, anticipating performance bottlenecks, and scaling the environment as needed using DataDog and other tools.
Design and implement zero-downtime to accomplish highly available service (99.9%).
Ensure systems are secure against cyberthreats and implement fixes for Security vulnerabilities.
Automate tasks and develop tools to increase engineering efficiency and visibility.
Design and implement disaster recovery (DR) between different regions in cloud providers such as AWS.
Manage web domain and certificates.
Troubleshoot production and testing environment issues, including performance and function issues.
Provide support to the organization through on-call, resolving issues and driving infrastructure changes.
Identify, define and document system requirements and recommend solutions to management.
Perform on-call duties and be part of the on-call rotations

AWS Docker Bash ElasticSearch Kubernetes REST API CI/CD Linux DevOps Terraform Microservices Ansible Scripting

Posted 3 days ago

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🔥 Site Reliability Engineer

Posted 4 days ago

📍 France

🏢 Company: Sinch👥 1001-5000💰 $48,845,918 Post-IPO Debt 7 months agoMessaging SaaS Telecommunications Mobile Software

🔧 Requirements

Background in infrastructure, operations, or software engineering.
Experience with cloud providers such as GCP.
Proficiency in configuration management tools such as Terraform and Ansible.
Hands-on proficiency with modern monitoring tools like Prometheus and Grafana.
Experience with distributed data stores such as Cassandra, PostgreSQL, and ElasticSearch.
Experience with Python and Bash is beneficial.
Strong technical skills across various infrastructure technologies.
Strong communication skills.
Experience operating and maintaining production systems in a Linux and public cloud environment.

💡 Responsibilities

Partner with product engineering teams to identity systems requirements.
Build and support our cloud-based infrastructure.
Automate routine processes and remediation tasks.
Develop, monitor and track Service Level Objectives (SLOs) for the systems under management.
Proactively troubleshoot, resolve, and plan for issues that typically come from support staff, other engineering teams, and our automated monitoring system.
Ensure our datastores are healthy and operate at optimal performance levels.
Contribute to the growth and culture of our engineering team.

Docker PostgreSQL Python Bash ElasticSearch GCP Kubernetes Cassandra Grafana Prometheus Linux Terraform Ansible

Posted 4 days ago

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🔥 Lead Engineer- Stats and Analytics, Data Externalization

Posted 4 days 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 4 days ago

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🔥 Sr. Software Engineer - Counter Adversary Operations Team (Remote, ROU)

Posted 5 days ago

📍 Romania

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)
At least 5 years of previous experience as a Software Engineer
Deep understanding of scalability and distributed systems core concepts i.e. sharding, partitioning, concurrency, etc
Being a team player
The ability to thrive in a test-driven, collaborative, and iterative programming environment

💡 Responsibilities

Work on and enrich backend microservices – From researching areas of concern to implementing the final solution
Leverage existing CrowdStrike tool and services to build cloud-based systems to help detect targeted attacks
Brainstorm, research, define, communicate, and build collaboratively with members across multiple teams
Be prepared to mentor other developers on web, backend and data storage technologies and our system
Be aware of our product to improve architecture, knowledge models, user experience, performance, and stability

AWS Backend Development Docker Software Development ElasticSearch Git Kafka Kubernetes Algorithms Cassandra Data Structures Go Redis Microservices

Posted 5 days ago

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