Remote AWS CloudWatch engineer jobs

We, at Turing, are looking for qualified remote AWS CloudWatch engineers who will be responsible for building back-end components, UI, and monitoring web-based analytics using CloudWatch library. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Design, develop, and maintain web applications
  • Build back-end components and user interfaces
  • Manage configuration of all production systems
  • Monitor web-based analytics to track in-app metrics
  • Manage CI/CD pipelines for server-based technologies
  • Collaborate with cross-functional teams to deliver scalable applications
  • Ensure software security with best in class cloud security solutions
  • Keep abreast with new technology options to find the best solutions
  • Troubleshoot problems across platform and application domains
  • Ensure high-performance and scalable solutions

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of professional software development experience (rare exceptions for highly skilled developers)
  • Proficient knowledge of AWS and CloudWatch library
  • Expertise in any or more programming language including Java, C++, and C#
  • Strong experience in monitoring and visualizing operational data
  • Proven experience working with cloud architecture and design patterns
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of large-scale data processing systems or distributed systems
  • Experience working with Hybrid, AWS, and on-premises applications as well as infrastructure resources
  • Working knowledge of monitoring, troubleshooting, and alerting containerized microservices and applications
  • Great technical, analytical and problem-solving skills
  • Strong communication and interpersonal skills

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How to become an AWS CloudWatch engineer ?

Amazon CloudWatch provides reliable, scalable, and flexible monitoring for your AWS resources and applications. It enables you to monitor applications, end-user experience, compute, and storage resources in a unified view across both AWS and on-premises workloads. You can capture application performance and unanticipated system behavior using alarms that monitor individual thresholds or combinations of thresholds to take automated action (scale up or down, stop an instance, submit a ticket).

CloudWatch gives you actionable insight in real-time into the containerized applications and microservices that make up each of your systems. With one-second visibility into the usage of hardware, virtual machines, and clouds, you can optimize the resources consumed on these infrastructure services to maximize application productivity and performance, while minimizing latency.

What is the scope in AWS CloudWatch engineering?

AWS CloudWatch comes with several components, including:

Synchronize data with the cloud, manage distributed data, and process subscriptions and messages with the Data Storage App
Analytics monitors user sessions and reports on their activity. Configure custom attributes and examine the conversion funnel
Handle push notification campaigns and communicate with users via a variety of channels, including text and push
Authentication Gain access to ready-to-use workflows such as multi-factor authentication, single sign-on, and forgotten passwords

AWS CloudWatch is useful for people who don't want to build back-ends and other components from scratch. The CloudWatch component makes it easy to set up building blocks for your app without much effort, saving time and money. AWS CloudWatch is just one example of a cloud-based tool available for companies to easily manage the innovation process. There are many more tools, with more being developed each day. Given the popularity of AWS cloudwatch, it is no wonder that there is high demand for AWS CloudWatch engineers.

However, hiring the best AWS CloudWatch engineers is difficult because thousands of companies compete for a small pool of top AWS CloudWatch programmers. Because of the scarcity of qualified developers, hiring quality developers is an expensive and time-consuming endeavour.

What are the roles and responsibilities of an AWS CloudWatch engineer?

An AWS CloudWatch engineer is a member of a highly skilled team who designs, builds, and operates AWS cloud infrastructures that are hosted on behalf of third parties. These infrastructures include production, test, and development environments large or small as needed. AWS engineers adhere to the principles of continuous deployment, application delivery service, security best practices, on-call rotational workload, and incident management.

The AWS CloudWatch component makes it easy to set up monitoring and alerting capabilities with the AWS Management Console or command line tools. You can monitor resource level, performance metrics such as CPU, memory, and network utilization, tag components of your applications to quickly monitor them in the console, view logs for troubleshooting, or putting together reports of your monitoring data. You can also set up alerts based on ranges of values for resources and settings monitored by CloudWatch so that you can be notified when a component starts behaving incorrectly or some other undesirable event occurs.

AWS CloudWatch engineers handle various responsibilities such as:

  • Build, structure, and maintain web applications
  • Create back-end components as well as user interfaces
  • Oversee the configuration of all production systems
  • Track in-app metrics by monitoring web-based analytics
  • Manage server-based technologies' CI/CD pipelines
  • Work with cross-functional teams to create scalable applications
  • Use best-in-class cloud security solutions to ensure software security
  • Keep up to date on new technological developments in order to find the best solutions
  • Troubleshoot issues across multiple platforms and application domains
  • Ensure that your solutions are high-performing and scalable

How to become an AWS CloudWatch engineer?

Let's move on and discuss all the requirements the candidate applying for remote AWS CloudWatch engineer must possess to secure a high-paying AWS CloudWatch engineer job.

  • A bachelor's degree in computer science or another technical field, or equivalent professional experience, is required
  • Extensive knowledge of large-scale data processing systems or distributed systems is needed
  • Working knowledge of Scrum, Kanban, or Agile development
  • Expertise in professional software engineering practices and best practices for the entire software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Communication experience with users, other technical teams, and management to collect requirements, describe software product features, and technical designs

Now, let us take a look at the skills and methods you'll need to master in order to become a successful AWS CloudWatch engineer:

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Skills required to become an AWS CloudWatch engineer

The first step is to start learning the fundamental skills that can get you high-paying AWS CloudWatch engineer jobs. Here is what you need to know!

1. Experience integrating third-party tools

From the very first tool to the more advanced ones, CloudWatch engineers are responsible for configuring and managing all basic cloud services. One of the most critical skills for AWS CloudWatch developers is the ability to integrate third-party tools to provide additional functionality. Some notable AWS third-party tools include Chef, Puppet, Ansible, Terraform, and SaltStack.

2. Knowledge of tools and technologies

Software development processes use new tools and technologies. Therefore, companies are looking to Hire AWS CloudWatch engineers who know about the latest and greatest tools that help generate new ideas and welcome new challenges. Code pipeline, AWS CLI, AWS Cloud9, are some such tools.

3. Knowledge of databases

The ability to manage and debug database queries in a cloud environment requires unique skills. As most modern applications rely on databases to store and retrieve data, the developers companies hire must understand how the database works and also the query language that is used to manipulate data. It is essential and invaluable in advancing cloud computing. So, if you are applying for remote AWS CloudWatch engineer jobs, ensure to have a knowledge of databases beforehand.

4. Ability to manage Elastic Computing

A skilled CloudWatch developer, who has the ability to learn and use new tools, must be constantly learning and using new technologies. They must be able to write code that adheres to high standards of code quality. Skills such as high-performance computing, in-depth object-oriented programming knowledge, natural computer science approaches, and relational database management are needed. They should also have a thorough understanding of enterprise architecture design. For example, they need to know how to design fault-tolerance procedures for failure scenarios.

Developers capable of building an application on the CloudWatch service should also have experience with other AWS services. Chief among these is the EBS encryption service, the successor to S3 Encryption and Glacier Compression. Although EBS Volume Encryption does not cover all versions of AWS, it does add a measure of security for data stored in Amazon EBS volumes and snapshots.

5. Knowledge of Git, SVN, and Mercurial

In the world of software development, version control tools are a requirement. As it relates to open source projects (or even closed source projects), many developers choose to use such utilities. There are many different versions of control systems out there. Different version control systems have different features and each developer should determine which version control system is best for them.

6. Knowledge of networking

AWS CloudWatch engineers are talented network engineers with the skills to deploy and operate large IP networks. Developing network solutions can be complex, and AWS CloudWatch engineers should be experts at designing and managing public, private, and hybrid IP networks that include AWS services such as Direct Connect networking, VPCs, and VEtNics. In addition, they must also have the expertise to transit traffic across public or private networks, or use AWS services such as SSL offload to secure traffic when it enters the Amazon Cloud.

Interested in remote AWS CloudWatch engineer jobs?

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How to get remote AWS CloudWatch engineer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote AWS CloudWatch engineer jobs that suit your career trajectories as an AWS CloudWatch engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote AWS CloudWatch engineer jobs with better compensation and career growth.

Why become an AWS CloudWatch engineer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their AWS CloudWatch engineers?

At Turing, every AWS CloudWatch engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Python Automation and Task Creator

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

We are seeking a detail-oriented Computer-Using Agent (CUA) to perform structured automation tasks within Ubuntu-based virtual desktop environments. In this role, you will interact with real desktop applications using Python-based GUI automation tools, execute workflows with high accuracy, and document every step taken.

This is a hands-on execution role ideal for candidates who are comfortable working with Linux systems, virtualization tools, and repeatable task workflows in a controlled environment.


What Does the Day-to-Day Look Like?

  • Set up and operate Ubuntu virtual machines using VMware or VirtualBox
  • Automate mouse and keyboard interactions using Python-based GUI automation (e.g., PyAutoGUI)
  • Execute predefined workflows across various Ubuntu desktop applications
  • Ensure tasks are completed accurately and can be reproduced consistently
  • Capture and document all actions, steps, and outcomes in a structured format
  • Collaborate with the delivery team to refine automation scenarios and workflows

Required Skills & Qualifications

  • Hands-on experience with Ubuntu/Linux desktop environments
  • Working knowledge of PyAutoGUI or similar GUI automation frameworks
  • Basic Python scripting and debugging skills
  • Familiarity with VMware or VirtualBox
  • Strong attention to detail and ability to follow step-by-step instructions
  • Clear documentation and reporting skills

Application Domains

You will be expected to perform automation tasks across the following Ubuntu-based environments:

  • os – Core Ubuntu desktop environment
  • chrome – Ubuntu with Google Chrome
  • gimp – Ubuntu with GIMP
  • libreoffice_calc – LibreOffice Calc
  • libreoffice_writer – LibreOffice Writer
  • libreoffice_impress – LibreOffice Impress
  • thunderbird – Thunderbird email client
  • vlc – VLC media player
  • vs_code – Visual Studio Code

Perks of Freelancing With Turing

  • Fully remote work.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with 4 hours of overlap with PST. 
  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 2 month
Holding Companies & Conglomerates
10K+ employees
Python
briefcase
Knowledge Graph Expert (Knowledge Graph / SQL / LLM)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

About the Team

The Ads Content Understanding team’s mission is to build the foundational engine for interpretable and frictionless understanding of all organic and paid content on our platform. Leverage state-of-the-art applied ML and a robust Knowledge Graph (KG) to extract high-quality, monetization-focused signals from raw content — powering better ads, marketplace performance, and actionable business insights at scale.

We are seeking a Knowledge Graph Expert to help us grow and curate our KG of entities and relationships, bringing it to the next level.


About the Role


We are looking for a detail-oriented and strategic Knowledge Graph Curator. In this role, you will sit at the intersection of AI automation and human judgment. You will not only manage incoming requests from partner teams but also proactively shape the growth of our Knowledge Graph (KG) to ensure high fidelity, relevance, and connectivity. You will serve as the expert human-in-the-loop, validating LLM-generated entities and ensuring our graph represents the "ground truth" for the business.

 

Key Responsibilities


  • Onboarding of new entities to the Knowledge Graph maintained by the Ads team
  •  Data entry, data labeling for automation of content understanding capabilities
  • LLM Prompt tuning for content understanding automation

What You'll Do


1. Pipeline Management & Prioritization

  • Manage Inbound Requests: Act as the primary point of contact for partner teams (Product, Engineering, Analytics) requesting new entities or schema changes.
  • Strategic Prioritization: Triage the backlog of requests by assessing business impact, urgency, and technical feasibility.

2. AI-Assisted Curation & Human-in-the-Loop

  • Oversee Automation: Interact with internal tooling to review entities generated by Large Language Models (LLMs). You will approve high-confidence data, edit near-misses, and reject hallucinations.
  • Quality Validation: Perform rigorous QA on batches of generated entities to ensure they adhere to the strict ontological standards and factual accuracy required by the KG.
  • Model Feedback Loops: Participate in ad-hoc labeling exercises (creation of Golden Sets) to measure current model quality and provide training data to fine-tune classifiers and extraction algorithms.

3. Data Integrity & Stakeholder Management

  • Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships.
  • Feedback & Reporting: Close the loop with partner teams. You will report on the status of their requests, explain why certain modeling decisions were made, and educate stakeholders on how to best query the new data.


Qualifications for this role:

  • Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties)
  • Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities.
  • Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus.
  • AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.

Operational & Soft Skills

  • Analytical Prioritization: Ability to look at a list of 50 tasks and determine the 5 that will drive the most business value.
  • Attention to Detail: An "eagle eye" for spotting inconsistencies, typos, and logical fallacies in data.
  • Stakeholder Communication: Ability to translate complex data modeling concepts into clear language for non-technical product managers and business stakeholders.
  • Tool Proficiency: Comfort learning proprietary internal tools, ticketing systems (e.g., Jira), and spreadsheet manipulation (Excel/Google Sheets).


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • 8 hours of overlap with Netherlands
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
LLMSQL
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