Turing

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.

Find remote software jobs with hundreds of Turing clients

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

Interested in this job?

Apply to Turing today.

Apply now

Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

Read Turing.com reviews from developers across the world and learn what it’s like working with top U.S. companies.
4.65OUT OF 5
based on developer reviews as of June 2024
View all reviews

How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

    Once you join Turing, you’ll never have to apply for another job.

cover

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:

Interested in remote AWS CloudWatch engineer jobs?

Become a Turing developer!

Apply now

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?

Become a Turing developer!

Apply now

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.

View more FAQs

Latest posts from Turing

Things to Know to Get Hired as a Turing Engineer

Here are some handy tips and tricks to help boost your chances of acing your Turing application process

Read more
Turing.com-Review-Isabela-from-Eucador

Isabela From Ecuador Reviews Turing.com: ‘You Can Find Time To Do the Things You Love’

Isabela from Ecuador reviews Turing.com, says she is happy with Turing and she hopes to work here for a long time...

Read more

Here’s What Facebook’s VP of Engineering Has to Say about the Future of Work

Rajeev Rajan, VP of engineering at Facebook, talks about the future of Facebook and his take on the future of rem...

Read more
11 Websites to Test your Code Online

Eleven Great Websites to Test your Code Online

These tools for testing codes make it simple to work, run code online, and collaborate with other developers...

Read more

Leadership

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.

Equal Opportunity Policy

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.

Explore remote developer jobs

briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
sample card

Apply for the best jobs

View more openings
Turing books $87M at a $1.1B valuation to help source, hire and manage engineers remotely
Turing named one of America's Best Startup Employers for 2022 by Forbes
Ranked no. 1 in The Information’s "50 Most Promising Startups of 2021" in the B2B category
Turing named to Fast Company's World's Most Innovative Companies 2021 for placing remote devs at top firms via AI-powered vetting
Turing helps entrepreneurs tap into the global talent pool to hire elite, pre-vetted remote engineers at the push of a button

Work with the world's top companies

Create your profile, pass Turing Tests and get job offers as early as 2 weeks.