Microservices Job Salaries

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

Microservices

Median high-range salary for jobs requiring Microservices:

$201,000

This analysis is based on salary ranges collected from 271 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 $155,000 - $201,000

25% of job descriptions advertised a maximum salary above $240,768.33.
5% of job descriptions advertised a maximum salary above $300,000.

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 Backend Development, Software Development and Cloud Computing. 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.

Backend Development
43% jobs mention Backend Development as a required skill. The Median Salary Range for these jobs is $165,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $256,500.
- 5% of job descriptions advertised a maximum salary above $296,820.
Software Development
39% jobs mention Software Development as a required skill. The Median Salary Range for these jobs is $156,000 - $218,900
- 25% of job descriptions advertised a maximum salary above $250,625.
- 5% of job descriptions advertised a maximum salary above $310,000.
Cloud Computing
39% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $161,925 - $211,485
- 25% of job descriptions advertised a maximum salary above $250,750.
- 5% of job descriptions advertised a maximum salary above $312,067.
AWS
62% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $160,100 - $210,000
- 25% of job descriptions advertised a maximum salary above $243,050.
- 5% of job descriptions advertised a maximum salary above $288,690.
Kubernetes
48% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $157,500 - $210,000
- 25% of job descriptions advertised a maximum salary above $245,500.
- 5% of job descriptions advertised a maximum salary above $289,930.
REST API
41% jobs mention REST API as a required skill. The Median Salary Range for these jobs is $160,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $246,000.
- 5% of job descriptions advertised a maximum salary above $286,300.
SQL
48% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $150,237.5 - $203,760
- 25% of job descriptions advertised a maximum salary above $244,075.
- 5% of job descriptions advertised a maximum salary above $300,195.
CI/CD
59% 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 $244,525.
- 5% of job descriptions advertised a maximum salary above $295,230.
Python
43% 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 $240,000.
- 5% of job descriptions advertised a maximum salary above $276,000.

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 Health tech, Blockchain and Fintech. 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.

Health tech
1% jobs are in Health tech industry. The Median Salary Range for these jobs is $217,300 - $263,000
- 25% of job descriptions advertised a maximum salary above $276,000.
Blockchain
1% jobs are in Blockchain industry. The Median Salary Range for these jobs is $205,000 - $237,500
- 25% of job descriptions advertised a maximum salary above $250,000.
Fintech
1% jobs are in Fintech industry. The Median Salary Range for these jobs is $136,800 - $214,150
- 25% of job descriptions advertised a maximum salary above $260,150.
- 5% of job descriptions advertised a maximum salary above $264,000.
Healthcare
3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $153,000 - $214,000
- 25% of job descriptions advertised a maximum salary above $235,750.
- 5% of job descriptions advertised a maximum salary above $264,000.
Software Development
56% jobs are in Software Development industry. The Median Salary Range for these jobs is $157,500 - $210,000
- 25% of job descriptions advertised a maximum salary above $247,875.
- 5% of job descriptions advertised a maximum salary above $303,705.
Cybersecurity
2% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $160,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $226,250.
- 5% of job descriptions advertised a maximum salary above $260,000.
Healthcare Technology
2% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $170,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $226,250.
- 5% of job descriptions advertised a maximum salary above $230,000.
Data-Powered Marketing Cloud
1% jobs are in Data-Powered Marketing Cloud industry. The Median Salary Range for these jobs is $157,500 - $185,000
- 25% of job descriptions advertised a maximum salary above $200,000.
Financial Services
1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $132,500 - $167,500
- 25% of job descriptions advertised a maximum salary above $175,000.
E-Commerce
1% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $137,000 - $156,000
- 25% of job descriptions advertised a maximum salary above $175,000.

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

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🔥 Site Reliability Engineer

Posted about 1 hour 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 about 1 hour ago

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🔥 Senior Software Developer, Data Technology

Posted about 5 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 5 hours ago

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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 5 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

8+ years of industry experience in Software Engineering and/or Infrastructure
B.S. or higher in Computer Science
Very strong coding ability
Deep understanding of computer architectures, data structures, and algorithms
Experience building low-latency, high-throughput, distributed backend services
Experience building data-intensive applications
Good team communication and collaboration skills

💡 Responsibilities

Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
Work with an experienced team of ML, Software, and Infrastructure Engineers
Design, engineer & implement reliable, scalable, and cost-efficient systems
Achieve core business objectives by enabling next generation ML models and technologies
Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWS Backend Development Python Software Development Data Analysis Machine Learning PyTorch Algorithms Data Structures REST API Microservices Software Engineering

Posted about 5 hours ago

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🔥 Senior Security Engineer

Posted about 6 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 6 hours ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 7 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 7 hours ago

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🔥 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

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🔥 Digital Production Coordinator

Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 41600.0 - 65000.0 USD per year

🏢 Company: Movement Strategy

🔧 Requirements

0-2 years of experience in a digital production coordination, media asset management, project coordination, or similar role
Basic understanding of Digital Asset Management (DAM) systems, preferably MediaValet or similar.

💡 Responsibilities

Serve as the day-to-day administrator for the MediaValet DAM platform, ensuring assets are uploaded, tagged, and organized properly.
Enforce metadata standards, taxonomy structures, and governance policies as set by leadership.
Train users on how to navigate and utilize the DAM effectively.
Conduct regular audits of the DAM to maintain organization and identify any gaps.
Assist with tracking the status of creative projects and deliverables to ensure deadlines are met.
Communicate updates and changes to stakeholders and team members as needed.
Provide general support to the creative/production teams, helping resolve minor issues as they arise.
Assist in coordinating digital production workflows to ensure tasks are completed efficiently and on schedule.
Collaborate with the team leads to track and document digital production processes, identifying areas for improvement.
Maintain and update process documentation and standard operating procedures (SOPs).
Monitor task progress and follow up with team members to ensure timely completion.
Support the Production team in vendor management, such as billing and onboarding/offboarding.
Support the onboarding of team members to digital production tools and systems, providing guidance and troubleshooting assistance.
Act as a liaison between the creative/production team and IT to ensure tools are functioning correctly and integrated into workflows.
Help develop and maintain training materials and quick-reference guides for digital production tools.
Track user access and permissions for tools and platforms, ensuring proper management.
Assists in ingesting footage and organizing.

AWS UI Design User Experience Design Project Coordination Jira Communication Skills CI/CD Agile methodologies RESTful APIs Attention to detail Organizational skills Time Management Documentation Microservices Microsoft Office Suite Adaptability Problem-solving skills Teamwork Training Troubleshooting JSON Computer skills Confluence

Posted about 20 hours ago

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🔥 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

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🔥 Lead Machine Learning Scientist, Personalisation

Posted 1 day ago

📍 United Kingdom

🧭 Full-Time

💸 105000.0 - 140000.0 GBP per year

🔍 Financial Technology

🏢 Company: Monzo👥 1001-5000💰 Secondary Market 5 months ago🫂 Last layoff almost 5 years agoFinancial Services Banking Wealth Management FinTech

🔧 Requirements

Multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
Experience developing and shipping state of the art ML architectures to production and delivering business impact
Extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices

💡 Responsibilities

Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation.
Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences.
Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

Leadership Python SQL Cloud Computing Data Analysis Machine Learning Algorithms API testing Data science RESTful APIs Microservices Data modeling

Posted 1 day ago

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🔥 Staff Software Engineer - UI (Remote)

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 180000.0 - 230000.0 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

6-10+ years of production application development experience
Proficiency in modern Javascript, React, CSS/HTML and familiarity with TypeScript
Experience reading and understanding complex enterprise-grade code, quickly contribute to it, and suggesting improvements
Excellent debugging skills (using dev tools source code, emphasis in identifying root cause, and proactively preventing future bugs)
Proficiency integrating web API’s or micro-services to UI in partnership with backend developers
Experience implementing best practices of incorporating AI into user flows
Familiarity with standard development tools and processes like Github Workflows, Git, JIRA
Experience creating and building systems in production with over 10k+ users
Comfortable with ambiguity and taking the initiative
BS or MS in Computer science (or equivalent experience)

💡 Responsibilities

Develop applications & contribute towards the UI and potentially middle-layer development
Own projects aligned with our product development strategy
Design and implement solutions to achieve a delightful and intuitive user experience
Contribute to the underlying platform to ensure it is extensible, scalable, and secure
Collaborate with team and external stakeholders such as Product Managers, Backend Engineers, UX team, & our customers

Frontend Development Git HTML CSS Javascript React.js TypeScript UI Design User Experience Design Jira API testing React RESTful APIs Microservices Software Engineering Debugging

Posted 1 day ago

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Shown 10 out of 352

Microservices Job Salaries

Median high-range salary for jobs requiring Microservices:

Skills and Salary

Backend Development

Software Development

Cloud Computing

AWS

Kubernetes

REST API

SQL

CI/CD

Python

Industries and Salary

Health tech

Blockchain

Fintech

Healthcare

Software Development

Cybersecurity

Healthcare Technology

Data-Powered Marketing Cloud

Financial Services

E-Commerce

Jobs