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Remote Aws Lambda Developer Jobs in Moscow, ID (NOW HIRING)

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

As of Sep 3, 2026, the average hourly pay for remote aws lambda developer in Moscow, ID is $46.92, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $55.91 per hour, depending on experience, location, and employer.

What does a remote AWS Lambda developer do?

A Remote AWS Lambda Developer designs, develops, and maintains serverless applications using AWS Lambda and other related AWS services. They focus on writing code that runs in response to events, such as HTTP requests or changes in data, without the need to manage servers. Working remotely, these developers collaborate with teams online, implement cloud-based solutions, and optimize performance for scalable, cost-effective applications. Their responsibilities often include integrating Lambda functions with other AWS resources, troubleshooting issues, and ensuring security best practices are followed.

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

To thrive as a Remote AWS Lambda Developer, you need strong proficiency in serverless application development, cloud computing, and programming languages such as Python, Node.js, or Java, along with experience in AWS services. Familiarity with AWS Lambda, API Gateway, DynamoDB, CloudFormation, and relevant AWS certifications (such as AWS Certified Developer – Associate) is typically expected. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help developers excel in distributed teams. These skills and qualities are crucial for building scalable, reliable serverless solutions while collaborating efficiently in a remote work environment.

How does a remote AWS Lambda developer typically collaborate with distributed teams and manage code deployments?

As a Remote AWS Lambda Developer, you will frequently collaborate with cross-functional teams using communication tools like Slack, Jira, and video conferencing. Code is typically managed using version control systems such as Git, and deployments are handled through CI/CD pipelines, ensuring smooth integration and automated rollouts. Regular stand-ups and sprint planning meetings help maintain alignment on project goals, while code reviews and documentation foster knowledge sharing. This structure allows for efficient teamwork despite geographic distances and ensures a reliable deployment process.

What job categories do people searching Remote Aws Lambda Developer jobs in Moscow, ID look for?

The top searched job categories for Remote Aws Lambda Developer jobs in Moscow, ID are:

Remote Aws Lambda Developer jobs near you
Infographic showing various Remote Aws Lambda Developer job openings in Moscow, ID as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $97,592 per year, or $46.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Moscow, ID • Remote

Full-time

Re-posted 13 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply