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Remote Aws Python Developer Jobs in Troy, NY (NOW HIRING)

Plug Power, Inc.

Systems Engineer II

Albany, NY · On-site +1

$79K - $118K/yr

Proficiency with data analysis tools (Python, MATLAB, Excel-based modeling, or similar) to process ... Self-directed and organized; capable of managing workstreams independently in a remote environment.

ACS Consultancy Services

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Data Modeler Location : Remote We are currently seeking candidates who meet the following ... Collaborate with data architects, engineers, analysts, and business stakeholders. * Create and ...

micro1 AI

Bioinformatics Software Engineer

Albany, NY · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

micro1 AI

Director of Biostatistics

Albany, NY · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

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All JobsAws Python Developer JobsRemote Aws Python Developer JobsRemote Aws Python Developer Jobs in Troy, NY

Remote Aws Python Developer information

See Troy, NY salary details

$13

$57

$84

How much do remote aws python developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote aws python developer in Troy, NY is $57.65, according to ZipRecruiter salary data. Most workers in this role earn between $47.50 and $65.48 per hour, depending on experience, location, and employer.

What is a remote AWS Python developer?

A Remote AWS Python Developer is a software engineer who specializes in building, deploying, and maintaining applications using the Python programming language on Amazon Web Services (AWS) cloud infrastructure. They typically work remotely, collaborating with teams online to develop cloud-based solutions, automate processes, and ensure scalability and security. Their responsibilities often include writing serverless applications, integrating AWS services like Lambda, S3, and DynamoDB, and optimizing cloud workloads. Proficiency in both Python and AWS is essential for this role.

What are the key skills and qualifications needed to thrive as a remote AWS Python developer?

To thrive as a Remote AWS Python Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing concepts, and experience with AWS services, often supported by a degree in computer science or a related field. Familiarity with tools such as AWS Lambda, EC2, S3, CloudFormation, and CI/CD pipelines, as well as relevant AWS certifications, is typically expected. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a distributed team environment. These abilities ensure you can design, deploy, and maintain scalable cloud solutions efficiently and reliably while working remotely.

How do remote AWS Python developers typically collaborate with distributed teams to ensure project success?

Remote AWS Python Developers frequently work with cross-functional teams spread across different locations. Collaboration is often managed through tools such as Slack, Jira, and GitHub, which help coordinate code reviews, issue tracking, and deployments. Regular video meetings and asynchronous communication are key to staying aligned on project goals and addressing blockers quickly. Developers are encouraged to document their code and share updates proactively to maintain transparency and foster effective teamwork.

What is the difference between Remote Aws Python Developer vs Remote Cloud Engineer?

AspectRemote Aws Python DeveloperRemote Cloud Engineer
Required SkillsPython, AWS, Linux, APIsCloud platforms (AWS, Azure, GCP), scripting, automation
CertificationsAWS Certified Developer, Python certificationsAWS Certified Solutions Architect, Cloud certifications
Work EnvironmentRemote, software development teamsRemote, infrastructure and deployment teams
Industry UsageTech, startups, SaaS companiesTech, finance, healthcare, enterprise

Remote Aws Python Developers focus on coding, AWS services, and integrating Python applications, while Remote Cloud Engineers handle broader cloud infrastructure, deployment, and automation across multiple platforms. Both roles often work remotely and require cloud certifications, but their core responsibilities differ in scope and focus.

What cities near Troy, NY are hiring for Remote Aws Python Developer jobs?

Cities near Troy, NY with the most Remote Aws Python Developer job openings:

Remote Aws Python Developer jobs near you
Infographic showing various Remote Aws Python Developer job openings in Troy, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,909 per year, or $57.6 per hour.

Sr AI Engineer I - Global Commercial Services

American Express

Albany, NY • On-site, Remote

$123K - $215K/yr

Full-time

Posted 15 days ago

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

24th of 151 rated financial services

Job description


Senior Software Engineer I - Agentic AI
The Role
As a Senior Software Engineer - Agentic AI, you will be a hands-on engineer within Amex Technology, building and evolving production-grade agentic AI systems that power intelligent customer and enterprise experiences. Working closely with senior engineers, architects, Product, UX, Data Science, and Engineering teams, you will design, implement, and operate scalable, reliable, and secure AI solutions. This role combines strong software engineering fundamentals with experience building AI-powered applications.
Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to Fortune 500 companies. We back businesses so they can do more business, with a mission to be the undisputed leader in financial and membership services - responsibly driving double-digit revenue growth. We do that by offering a diverse range of payment and cashflow tools, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage a full range of their financial and payment needs.
Responsibilities
What You'll Do
  • Design, build, test, and operate production-grade agentic AI applications and services.

  • Contribute to the design and implementation of shared agentic AI capabilities, including:

  • Agent frameworks and orchestration

  • Planning, tool use, and memory strategies

  • Retrieval-Augmented Generation (RAG) pipelines

  • LLM integration and inference services

  • Evaluation, observability, and safety tooling

  • Partner with senior engineers to design scalable, reliable, and maintainable distributed systems.

  • Participate in technical design discussions and code reviews, helping improve engineering quality across the team.

  • Collaborate with Product, UX, and cross-functional partners to deliver AI-powered capabilities from concept through production.

  • Evaluate emerging AI technologies and help incorporate practical improvements into our platform.

  • Mentor junior engineers and contribute to a collaborative engineering culture.

Technical Environment
We don't hire to a narrow checklist, but successful candidates should be comfortable working in a modern, cloud-native engineering environment with an emphasis on agentic AI.
Core Engineering Stack
  • Languages: Go, TypeScript, Python

  • APIs: REST, gRPC, and tRPC

  • Cloud: AWS and/or GCP

  • SNS, SQS, Lambda, EKS, API Gateway

  • Kubernetes

  • Distributed systems and event-driven architectures (Kafka)

  • Durable Execution frameworks, like Temporal or DBOS

  • Orchestration frameworks such as LangGraph, LangChain, Airflow, or similar

Agentic AI and ML
  • Integrating commercial and open-source LLMs into production applications

  • Agent and orchestration frameworks such as VercelAI SDK, LangChain, LangGraph, LlamaIndex, etc.

  • Retrieval-Augmented Generation (RAG) architectures

  • Embedding Models and Vector Databases

  • Multi-agent orchestration and agent harness development

  • Prompt engineering and structured output generation

  • Model serving, embeddings, and inference tooling

  • Familiarity with Effect TS library

  • Schema validation and state management using tools such as Zod (TypeScript)

  • Emphasize evaluation, observability, safety, and reliability to support AI solutions deployed in a regulated, customer-facing environment.

Qualifications
What We're Looking For
  • 6+ years of experience building large-scale backend or distributed software systems.

  • Experience developing AI-powered applications using LLMs, agentic workflows, RAG, or modern ML platforms.

  • Experience building production services using TypeScript, Go, Python or similar languages.

  • Strong software engineering fundamentals across backend development, APIs, cloud infrastructure, and distributed systems.

  • Familiarity with cloud platforms, containers, and Kubernetes.

  • Experience with asynchronous processing, workflow engines, queues, or streaming systems.

  • Strong problem-solving skills and the ability to work through ambiguous technical challenges.

  • Excellent collaboration and communication skills, with the ability to work effectively across engineering and product teams.

  • Passion for learning new technologies and contributing to engineering best practices.

Preferred Qualifications
  • Experience building AI applications in financial services or other regulated industries.

  • Experience deploying production LLM or RAG-based systems.

  • Familiarity with evaluation frameworks, observability, and AI safety practices.

  • Contributions to open-source software or AI-related projects.

  • Experience with fine-tuning, model optimization, or inference pipelines is a plus.

What American Express employees say

Pay

Benefits

Hours and flexibility

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