Kubernetes Job Salaries

Find salary information for remote positions requiring Kubernetes skills. Make data-driven decisions about your career path.

Kubernetes

Median high-range salary for jobs requiring Kubernetes:

$205,000

This analysis is based on salary ranges collected from 394 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $155,850 - $205,000

25% of job descriptions advertised a maximum salary above $240,307.33.
5% of job descriptions advertised a maximum salary above $309,600.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Microservices, Docker and AWS. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Microservices
32% jobs mention Microservices as a required skill. The Median Salary Range for these jobs is $156,250 - $207,500
- 25% of job descriptions advertised a maximum salary above $246,000.
- 5% of job descriptions advertised a maximum salary above $290,460.
Docker
55% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $160,000 - $205,500
- 25% of job descriptions advertised a maximum salary above $246,000.
- 5% of job descriptions advertised a maximum salary above $323,246.
AWS
70% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $306,770.
Cloud Computing
35% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $239,610.
- 5% of job descriptions advertised a maximum salary above $315,700.
DevOps
31% jobs mention DevOps as a required skill. The Median Salary Range for these jobs is $157,500 - $203,950.5
- 25% of job descriptions advertised a maximum salary above $238,440.
- 5% of job descriptions advertised a maximum salary above $324,268.
SQL
33% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $155,000 - $203,760
- 25% of job descriptions advertised a maximum salary above $249,250.
- 5% of job descriptions advertised a maximum salary above $300,000.
Python
55% jobs mention Python as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $235,000.
- 5% of job descriptions advertised a maximum salary above $306,565.
CI/CD
52% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $300,000.
Terraform
38% jobs mention Terraform as a required skill. The Median Salary Range for these jobs is $153,600 - $195,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $278,003.5.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Open source software and security, Blockchain intelligence and financial services and AI observability and evaluation. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Open source software and security
1% jobs are in Open source software and security industry. The Median Salary Range for these jobs is $325,000 - $325,000
- 25% of job descriptions advertised a maximum salary above $331,250.
- 5% of job descriptions advertised a maximum salary above $350,000.
Blockchain intelligence and financial services
1% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500
- 25% of job descriptions advertised a maximum salary above $270,000.
AI observability and evaluation
1% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $152,500 - $237,500
- 25% of job descriptions advertised a maximum salary above $250,000.
Cloud software development
1% jobs are in Cloud software development industry. The Median Salary Range for these jobs is $180,500 - $227,850
Fintech
4% jobs are in Fintech industry. The Median Salary Range for these jobs is $168,300 - $210,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $291,500.
Software Development
44% jobs are in Software Development industry. The Median Salary Range for these jobs is $160,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $244,050.
- 5% of job descriptions advertised a maximum salary above $307,590.
Healthcare
2% jobs are in Healthcare industry. The Median Salary Range for these jobs is $155,650 - $204,500
- 25% of job descriptions advertised a maximum salary above $221,600.
- 5% of job descriptions advertised a maximum salary above $253,000.
Artificial Intelligence
2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $167,500 - $197,500
- 25% of job descriptions advertised a maximum salary above $278,000.
- 5% of job descriptions advertised a maximum salary above $425,000.
Cybersecurity
3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $132,900 - $185,000
- 25% of job descriptions advertised a maximum salary above $212,500.
- 5% of job descriptions advertised a maximum salary above $265,040.
Software as a Service (SaaS)
1% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $145,000 - $185,000
- 25% of job descriptions advertised a maximum salary above $241,250.
- 5% of job descriptions advertised a maximum salary above $260,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

489 jobs found. to receive daily emails with new job openings that match your preferences.

489 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Site Reliability Engineer

Posted 42 minutes ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor’s Degree in Computer Science or related field and/or equivalent experience
4+ years of related functional experience
Experience with both Windows and Linux, as well as containerization software products
Functional with continuous integration and continuous delivery
Experience with automation and orchestration using Chef, Puppet, Ansible and containers
Coding skills beyond simple scripts and knowledge of application architecture
Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic

💡 Responsibilities

Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
Determine reliability requirements and deliver insights from massive scale data in real time.
Propose changes in design or formulation to improve system and/or process reliability.
Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
Collaborate with team members to troubleshoot and fix issues utilizing knowledge of problems to route support escalation issues to the appropriate teams
Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
Support system cost modeling for all hosted systems
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Deliver primary operational support and engineering for distributed software applications
Implement guidelines and plans for automated systems delivery maintaining system and data security
Assist with impact analysis regarding enterprise-wide technology
Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
Support system integration, software, and hardware at enterprise level for optimum performance
Partner with development teams to improve services through rigorous automated testing and release procedures
Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
Participate in system design consulting, platform management, and capacity planning
Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Data Analysis DynamoDB ElasticSearch Git Java Kafka Kubernetes MySQL Oracle Rabbitmq Software Architecture Zabbix Algorithms Cassandra Data Structures Prometheus Redis Spark Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Microservices Teamwork Troubleshooting JSON Cross-functional collaboration Ansible Scripting Debugging

Posted 42 minutes ago

Apply

🔥 Senior Site Reliability Engineer

Posted about 3 hours ago

📍 United States

🧭 Full-Time

💸 128350.0 - 192100.0 USD per year

🔍 Software Development

🏢 Company: ClickHouse👥 101-250💰 Series B over 2 years agoDatabase Artificial Intelligence (AI)Big Data Analytics Software

🔧 Requirements

At least 8 years of experience in Site Reliability Engineering or a related field.
Previous experience using ClickHouse in production.
Coding experience with Go and/or Python.
Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.

💡 Responsibilities

Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
Continuously improve the reliability and performance of our ClickHouse services.
Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.

AWS Docker Python SQL Cloud Computing Kubernetes Cross-functional Team Leadership Clickhouse Go REST API Communication Skills CI/CD Problem Solving Linux DevOps Terraform Excellent communication skills Teamwork Strong communication skills Ansible Debugging

Posted about 3 hours ago

Apply

🔥 Senior Security Engineer

Posted about 5 hours ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 172000.0 USD per year

🔍 Software Development

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

🔧 Requirements

4+ years of experience working as a SecOps Engineer
Experience mitigating and maintaining compliance controls (e.g. , ISO27001, SOC2, PCI DSS)
Experience with containerized applications running in AWS
A strong understanding of cloud infrastructure networking and security policies
Familiarity with infrastructure as code tools such as Terraform
A history of effective collaboration with development teams to uphold security best practices (OWASP, etc.)
Adept at working with a high degree of autonomy and initiative.
Strong problem-solving, technical design, and analytical skills.
Able to balance multiple competing priorities while solving challenging problems.
Excellent teamwork and communication with other software engineers, your leadership, and others with less technical backgrounds.
Act with compassion and empathy for others. Believe that your team’s success is your success.

💡 Responsibilities

Work with your team and across the Product Engineering teams to design and deploy processes and tools that help our teams raise the security standard at Procurify and deliver a secure product for our customers
Follow DevSecOps principles to shift security left
Work with engineering teams to ensure that security is a major driver of our engineering designs
Complete STRIDE assessments for each significant security engineering feature
Develop best-in-class security policies for our application development and cloud infrastructure
Maintain a high degree of compliance across the organization
Implement and monitor a SIEM tool to detect and remediate security events
Detect, triage and respond to security incidents within SLOs
Collaborate with product development teams to mitigate and prevent security vulnerabilities
Detect, triage, and mitigate vulnerabilities in collaboration with the engineering teams

AWS Python Cloud Computing Cybersecurity Kubernetes Analytical Skills CI/CD Problem Solving RESTful APIs DevOps Terraform Microservices Compliance Excellent communication skills Teamwork

Posted about 5 hours ago

Apply

🔥 Software Engineer, Fullstack

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Fullstory

🔧 Requirements

Understanding of data structures and API design to enable functionality across services.
Experience collaborating with others to reach technical decisions through clear communication and documentation.
Proficiency in writing production code in one or more languages such as Go, Java, Python, JavaScript, or TypeScript — with a willingness to learn new languages.
Experience building web applications using React, TypeScript, or similar front end technologies.
Exposure to cloud-based services and an eagerness to learn technologies like Kubernetes, gRPC, document search databases, or distributed data storage systems.
Bachelor's degree in Computer Science or a related field.

💡 Responsibilities

Collaborate with teammates to craft the strategy and execution for scaling Fullstory’s flagship application.
Ideate with our core team on how to best leverage AI capabilities to further customer delight.
Engineer systems that operate at hundreds of thousands of requests per second.
Maintain and troubleshoot parts of Fullstory’s production environment.
Work closely with design and product counterparts to propose new solutions for customer pain points.
Work closely with customers through our co-creation process, collaborating to craft purpose-built solutions that meet their unique needs and drive exceptional value.

Backend Development Python Software Development Agile Cloud Computing Frontend Development Full Stack Development Java Javascript Kubernetes React.js TypeScript API testing Data Structures Go gRPC REST API Communication Skills Analytical Skills CI/CD Problem Solving Customer service DevOps Software Engineering

Posted about 7 hours ago

Apply

🔥 Senior DevOps / Platform Engineer

Posted about 8 hours ago

📍 Canada

🧭 Full-Time

💸 135000.0 - 150000.0 CAD per year

🔍 Software Development

🏢 Company: Datatonic

🔧 Requirements

4+ years of experience in the DevOps field or as a Platform Engineer
Proficiency in Python, Java, or Go programming languages
In-depth knowledge of CI/CD tools and processes
Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
Proficiency with technologies such as Terraform and Kubernetes

💡 Responsibilities

Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.
Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
Define and embed best practices into our internal processes to enhance the quality and consistency of our work
Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies
Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements
Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials
Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers
Collaborate closely with partners such as Google to leverage their technologies effectively
Guide team members, fostering a culture of growth and innovation
Provide expert advice to customers on DevOps best practices
Establish and enhance DevOps functions within clients’ organisations
Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

Leadership Python Agile GCP Kubernetes Machine Learning Data engineering Communication Skills Analytical Skills CI/CD Problem Solving Customer service RESTful APIs Mentoring Linux DevOps Terraform Excellent communication skills Teamwork Scripting

Posted about 8 hours ago

Apply

🔥 Principal Software Engineer - Ops Cloud Platform

Posted about 9 hours ago

📍 Canada

🧭 Full-Time

💸 177000.0 - 263000.0 CAD per year

🔍 Software Development

🏢 Company: PagerDuty👥 1001-5000💰 $350,000,000 Post-IPO Debt over 1 year ago🫂 Last layoff about 2 years agoIT Management Cloud Computing SaaS Analytics Information Technology Software

🔧 Requirements

At least 12 years of demonstrated hands-on experience in software engineering, architecture, and design at leading SaaS companies.
Proven record of delivering enterprise-scale platforms and driving significant technical change across multiple teams or domains.
Deep expertise in backend architectures, including microservices, APIs, and cloud-native technologies.
Proficiency in modern programming languages (e.g., Java, Go, Python, Elixir, Ruby, or similar), strong foundations in distributed systems, security practices, and cost-effective scaling strategies.
Proven ability to define and communicate a long-term technical roadmap that impacts business strategy.
Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse engineering teams.

💡 Responsibilities

Define and articulate the long-range technical roadmaps and architecture for our core SaaS platform.
Develop, prototype, and implement complex, scalable solutions in collaboration with cross-team leaders across our Authentication and Authorization, Monetization and Entitlements, the Developer Ecosystem and Public APIs, and Account and Admin Experience teams.
Evaluate new technologies and design innovative solutions that drive platform evolution over a 3–5 year horizon.
Act as a technical leader and consultant across multiple teams, breaking down ambiguous problems and translating them into effective engineering solutions.
Foster a culture of collaboration by mentoring engineers, facilitating technical discussions, and ensuring that design decisions are clearly articulated across the teams.
Oversee and contribute to the technical design and evolving architecture of critical systems.
Ensure that designs meet rigorous standards in coding, reliability, scalability, security, and cost efficiency.
Provide guidance on technical decisions that align with short-term project needs and long-term strategic goals.
Serve as a technical resource for high-impact projects and complex problem-solving.
Coach and mentor Senior and Staff engineers, establishing development standards and fostering a learning environment.
Work closely with Product Managers, Engineering Managers, and other stakeholders to prioritize engineering initiatives that align with overall business objectives, including customer experience, cost optimization, and operational excellence.
Ensure that each team’s roadmap is harmonized with the overarching technical vision.
Lead efforts to evaluate emerging technologies and create prototypes that address complex challenges within our platform.
Use data-driven approaches to validate architectural ideas and measure their impact on system performance and customer success.

AWS Backend Development Leadership Python Software Development SQL Cloud Computing Design Patterns Java Kubernetes Ruby Software Architecture Cross-functional Team Leadership Data Structures Go Communication Skills CI/CD Problem Solving Agile methodologies RESTful APIs Mentoring DevOps Terraform Microservices JSON SaaS

Posted about 9 hours ago

Apply

🔥 Manager, DevOps and Security

Posted about 21 hours ago

📍 Canada

🧭 Full-Time

💸 175000.0 - 200000.0 CAD per year

🔍 Software Development

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

🔧 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 21 hours ago

Apply

🔥 Machine Learning Engineer (LLMs)

Posted 1 day ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 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 1 day ago

Apply

🔥 Staff Software Engineer, Backend (Remote)

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 216000.0 - 264000.0 USD per year

🔍 Healthcare

🏢 Company: Machinify👥 51-100💰 $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business Intelligence Predictive Analytics SaaS Machine Learning Analytics

🔧 Requirements

10+ years of backend focused experience in the field of application programming
Strong working experience with Java or Scala
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
Working experience writing SQL queries
Additional Python and C# or other backend languages are a plus
Strong CS foundation (data structures, asynchronous programming)
Excellences in test writing discipline
Critical thinking and problem solving skills working in a high growth environment
Comfortable navigating ambiguity
BS or MS in Computer Science (or equivalent experience)

💡 Responsibilities

Contribute to backend server-side development to ensure our application is extensible, scalable, and secure
Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products.
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
Deliver resilient enterprise software solutions

AWS Backend Development Docker Leadership Project Management SQL Design Patterns Git Java Kubernetes Machine Learning Software Architecture Spring Boot Algorithms Data Structures Java Spring REST API Communication Skills CI/CD Problem Solving RESTful APIs Microservices Critical thinking Scala Software Engineering

Posted 1 day ago

Apply

🔥 Lead Engineer, Atlas Stream Processing

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 137000.0 - 270000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

5+ years of experience of building distributed systems, and/or foundational cloud services at scale and experience with a compiled language (Java, C#, Go, etc.)
2+ years of experience managing a team of 3+ engineers and providing technical leadership
Track record in hiring, mentoring, and growing high-performing software engineering teams, experience working with remote teams and a passion for mentoring and career development of the team
Excellent verbal and written technical communication skills and desire to collaborate with colleagues, other teams, and lead projects
Strong background in building core components for data processing systems (including query execution, storage engines, autotuning and workload optimization) and distributed systems
Have led the launch of new features and maintained them in production

💡 Responsibilities

Manage a team of software engineers, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
Make coding contributions to the team’s projects
Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements
Take responsibility for the planning and execution of major features, raise delivery risks
Own the monitoring, operations, and maintenance of the systems your team develops
Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects

Backend Development Leadership Project Management Software Development SQL Cloud Computing Java Kubernetes MongoDB People Management Software Architecture C#Operations Management Algorithms Data Structures Go REST API Communication Skills Analytical Skills CI/CD Mentoring DevOps Microservices Team management Technical support

Posted 1 day ago

Apply

Shown 10 out of 489

Kubernetes Job Salaries

Median high-range salary for jobs requiring Kubernetes:

Skills and Salary

Microservices

Docker

AWS

Cloud Computing

DevOps

SQL

Python

CI/CD

Terraform

Industries and Salary

Open source software and security

Blockchain intelligence and financial services

AI observability and evaluation

Cloud software development

Fintech

Software Development

Healthcare

Artificial Intelligence

Cybersecurity

Software as a Service (SaaS)

Jobs