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Remote Senior Software Engineer Jobs in Chatham, NY

ACS Consultancy Services

Senior DevOps Engineer

Albany, NY · Remote

$133K - $170K/yr

Remote We are currently seeking candidates who meet the following qualifications. Key ... Collaborate with software development teams to streamline code deployments and reduce lead time.

micro1 AI

Senior Database Reliability Engineer

Albany, NY · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL ...

Arcadis

Senior Structural Engineer

Albany, NY · On-site +1

$99K - $135K/yr

Arcadis is seeking an experienced Senior Structural Engineer (PE) to join our growing USA ... REVIT software, Autodesk Construction Cloud, Risa, ETABS, to name a few Bachelor's degree in ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Remote We are currently seeking candidates who meet the following qualifications. Key ... Collaborate with software engineers to integrate AI/ML solutions into production applications and ...

Revvity

Sr. Tax Manager (REMOTE)

Albany, NY · On-site +1

$134K - $167K/yr

Revvity | About Us Revvity is a developer and provider of end-to-end solutions designed to help ... Overview Revvity is seeking a skilled and motivated Senior Tax Manager to join our Global Tax team ...

ADNET Technologies

TAC Helpdesk Engineer

Albany, NY · Remote

Provide remote and occasional on-site Level 2 technical support to ADNET clients through telephone ... resolve hardware, software, switching, routing, wireless, and firewall issues. * Hands-on ...

ADNET Technologies

TAC Helpdesk Engineer

Albany, NY · Remote

Provide remote and occasional on-site Level 2 technical support to ADNET clients through telephone ... resolve hardware, software, switching, routing, wireless, and firewall issues. * Hands-on ...

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Remote Senior Software Engineer information

See Chatham, NY salary details

$83.5K

$158.4K

$212.3K

How much do remote senior software engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote senior software engineer in Chatham, NY is $158,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $178,600.00 per year, depending on experience, location, and employer.

What does a remote senior software engineer do?

As a remote senior software engineer, your job is to code, test, and debug computer software applications for your employer. In this role, you may test the deployment of software within your network, ensure it functions properly on each operating system, choose which programming language to use, and help manage the development process. Senior software engineers frequently guide and review work from junior software engineers, determine how to translate business requirements into technical specifications, and provide input on hiring decisions relevant to the company's programming needs. Remote senior software engineers do all of this work from home or from a personal office. You use phones, email, text, and virtual office software to stay in touch with other employees.

What is a senior software engineer remote?

A senior software engineer job is a remote, high-level position that involves programming code and software. You work from home and telecommunicate with other IT support staff. A senior software engineer can work on various systems, but your duties are similar. Your responsibilities are to develop, test, and debug code. You may also build, update, or manage a software network. A software engineering professional often works on the entire development life cycle and must find and correct issues quickly and efficiently.

What does a remote senior software engineer do?

A Remote Senior Software Engineer designs, develops, and maintains complex software systems while working from a location outside of the traditional office. They often lead development teams, set technical direction, review code, and mentor junior engineers. Their responsibilities include collaborating with cross-functional teams, ensuring code quality, and implementing best practices in software development. Remote Senior Software Engineers use various communication and project management tools to stay connected with their teams and deliver high-quality software solutions efficiently.

What are the key skills and qualifications needed to thrive as a remote senior software engineer, and why are they important?

To thrive as a Remote Senior Software Engineer, you need deep expertise in software development, architecture, and problem-solving, typically supported by a degree in computer science and several years of professional programming experience. Proficiency with version control systems (like Git), cloud platforms (such as AWS or Azure), and familiarity with CI/CD pipelines and relevant certifications are highly valued. Excellent communication, self-motivation, and time management skills help you excel in remote, cross-functional teams. These skills ensure you can deliver high-quality solutions, collaborate effectively, and lead complex projects independently.

What are some common challenges faced by remote senior software engineers and how can they be addressed?

Remote Senior Software Engineers often face challenges such as maintaining effective communication across different time zones, ensuring strong collaboration with distributed teams, and staying aligned with project goals. Proactively scheduling regular check-ins, utilizing collaboration tools like Slack or Jira, and setting clear expectations can help overcome these hurdles. Additionally, building strong documentation habits and fostering relationships through virtual meetings can enhance teamwork and project success.

What is the difference between Remote Senior Software Engineer vs Remote Software Developer?

AspectRemote Senior Software EngineerRemote Software Developer
Required CredentialsBachelor's degree in CS or related field, 5+ years experience, advanced coding skillsBachelor's degree or equivalent, 1-3 years experience, strong coding skills
Work EnvironmentCollaborates on complex projects, mentors junior staff, involved in architecture decisionsFocuses on coding, testing, and implementing features, less mentorship
Employer & Industry UsageTech companies, startups, enterprise software firmsStartups, tech firms, freelance projects

The Remote Senior Software Engineer typically has more experience, handles complex tasks, and mentors others, whereas the Remote Software Developer focuses on coding and implementing features with less leadership responsibility.

More about Remote Senior Software Engineer jobs

What cities near Chatham, NY are hiring for Remote Senior Software Engineer jobs?

Cities near Chatham, NY with the most Remote Senior Software Engineer job openings:

Remote Senior Software Engineer jobs near you
Infographic showing various Remote Senior Software Engineer job openings in Chatham, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $158,448 per year, or $76.2 per hour.

Sr AI Engineer I - Global Commercial Services

American Express

Albany, NY • On-site, Remote

$123K - $215K/yr

Full-time

Re-posted 2 days ago

Key responsibilities

  • Design, build, test, and operate production-grade agentic AI applications and services.

  • Collaborate with cross-functional teams to deliver AI-powered capabilities from concept through production.

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

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 154 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

Workplace

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