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Remote Systems Engineer Jobs in New Rochelle, NY

ASCENDING LLC

AI Endpoint Engineer

Manhattan, NY · On-site +1

End User Computing Engineer, AI Enablement Remote within the United States Contract Duration: 6 Months (potential for extension) Position Overview: We are seeking an experienced and technically ...

ASCENDING

AI Endpoint Engineer

New York, NY · Remote

End User Computing Engineer, AI Enablement Remote within the United States Contract Duration: 6 Months (potential for extension) Position Overview: We are seeking an experienced and technically ...

Axonius

Director, Systems Engineering

Manhattan, NY · Remote

$200K - $240K/yr

US Remote, East or Central Timezones Axonius is seeking a leader for the global IT Engineering team to build secure, automated internal systems as the company scales globally. Reporting to the VP of ...

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Remote Systems Engineer information

See New Rochelle, NY salary details

$55.1K

$130.9K

$171.9K

How much do remote systems engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote systems engineer in New Rochelle, NY is $130,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a Remote Systems Engineer?

A Remote Systems Engineer is an IT professional who designs, implements, manages, and maintains computer systems and networks for organizations while working from a remote location. They ensure that systems are reliable, secure, and perform optimally, often troubleshooting issues and deploying updates without being physically present onsite. Remote Systems Engineers typically use remote access tools to monitor systems, collaborate with teams, and provide technical support. Their work is essential for companies with distributed workforces or cloud-based infrastructure.

How can I make 2000 a week working from home?

A Remote Systems Engineer can earn $2,000 a week by working on high-demand projects, providing specialized technical support, or consulting for multiple clients simultaneously. Building a strong skill set in cloud platforms, scripting, and network security, along with certifications like Cisco or AWS, can help increase earning potential. Freelance platforms and remote job boards can also be used to find well-paying opportunities in this field.

How can I make $100,000 a year working from home?

A Remote Systems Engineer can earn $100,000 annually by gaining advanced certifications, such as Cisco or Microsoft certifications, and developing expertise in cloud platforms like AWS or Azure. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries can also help achieve this income level.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation at this level often includes base salary, bonuses, and stock options, and typically requires advanced certifications and leadership responsibilities.

Can systems engineers work remotely?

Yes, many systems engineers can work remotely, especially those involved in designing, analyzing, and maintaining IT systems, networks, and software. Remote work often requires strong technical skills, familiarity with collaboration tools, and the ability to troubleshoot issues independently. However, some roles may require on-site presence for hardware installation or physical system management.

What Does a Remote Systems Engineer Do?

The job of a remote systems engineer is to develop, test, and maintain a computer network system for a company. Your duties include implementing updates, handling technical issues (including connectivity issues and VPN setup), performing system administration tasks, documenting changes, preparing reports, and developing new infrastructure as needed. Your responsibilities as a remote systems engineer are to ensure the software system and network connectivity meet the needs of the business environment and provide user support. This is a work from home position that involves coordinating with IT and management.

How does a Remote Systems Engineer typically collaborate with on-site IT teams and other departments?

As a Remote Systems Engineer, you will frequently coordinate with on-site IT staff and cross-functional teams through virtual meetings, project management tools, and shared documentation. Effective communication and clear documentation are crucial, as you may not be physically present to troubleshoot or implement solutions. You can expect to rely heavily on remote access tools and cloud-based platforms to monitor, maintain, and update systems. Building strong relationships with team members and setting clear expectations helps ensure seamless collaboration and project success, even from a distance.

What are the key skills and qualifications needed to thrive as a Remote Systems Engineer, and why are they important?

To thrive as a Remote Systems Engineer, you need a strong background in computer science, systems administration, and network management, often supported by a relevant degree or certifications such as CompTIA Network+ or Microsoft Certified: Azure Administrator. Proficiency with cloud platforms (e.g., AWS, Azure), automation tools (like Ansible or Puppet), and monitoring systems is typically required. Excellent problem-solving, communication, and time-management skills help in collaborating with distributed teams and resolving issues independently. These skills and qualities are crucial for maintaining reliable system operations and ensuring seamless remote support in a distributed work environment.
More about Remote Systems Engineer jobs
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What cities near New Rochelle, NY are hiring for Remote Systems Engineer jobs? Cities near New Rochelle, NY with the most Remote Systems Engineer job openings:
Remote Systems Engineer jobs near you
Distributed Systems Engineer 6 - Decisioning & Optimization

Distributed Systems Engineer 6 - Decisioning & Optimization

Netflix

New York, NY • On-site, Remote

$114K - $156K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team
The Decisioning & Optimization engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that power real-time ad decisioning, delivering relevant, high-quality ads while balancing revenue goals, advertiser outcomes, and member experience. Our work spans ML model serving infrastructure, ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization along with podding, traffic shaping models, and more.
We are looking for a senior technical leader to own the technical direction of this pod, set the architectural bar, and drive execution on the hardest problems in ads optimization at Netflix. This is a 60% builder / 40% influencer role: you will write code, ship a proof-of-concept in your first weeks, and earn the trust of an opinionated senior team while simultaneously setting direction across the organization.
What You'll Do
  • Own the technical direction of the Decisioning & Optimization team: architecture reviews, incident leadership, capacity planning, and scaling
  • Architect and evolve the real-time ad decisioning optimization path: multi-stage auction, ranking, scoring, bidding, and pacing under strict latency and throughput constraints
  • Scale our ads model serving infrastructure to support dozens of concurrent hot-path ML models with sub-20ms P99 inference, including config-driven model routing, multi-model lifecycle management, fallback tiers, and calibration serving
  • Work closely with Science and Platform teams, ensuring seamless model productionization and algorithm deployment
  • Build out various simulation and containerized testing frameworks to enable offline validation of marketplace changes before live rollout
  • Design and implement real-time pacing systems that drive budget delivery accuracy across campaign lifetimes
  • Develop and scale goal-based delivery optimization, enabling dynamic allocation of budget and inventory across multiple demand channels to maximize advertiser outcomes
  • Drive modularization and platform-thinking: build reusable components and clean interfaces that let the team move faster
  • Drive operational excellence: reliability, observability, deployment automation, capacity planning, and incident leadership across the optimization and broader ad serving stack

Skills & Experience We're Seeking
  • 10+ years building distributed systems and backend services at large scale; 3+ years in the ads domain
  • Deep experience with ML model serving infrastructure: scaling real-time inference on the hot path at high QPS with sub-20ms P99 latency, including model deployment pipelines, feature hydration, and fallback strategies
  • Built and operated core ad tech systems: ad servers, bidders, pacers, or ranking and scoring components
  • Designed APIs, platform abstractions, and data models that enable seamless interoperability across a multi-team ads platform
  • Strong understanding of ad serving concepts: inventory management, frequency and recency capping, member ad experience quality, and supply-demand dynamics
  • Track record of technical leadership across multiple teams, setting architectural direction and influencing cross-functional roadmaps
  • Comfortable at the intersection of engineering, data science, and product, translating ML research and algorithms into production systems
  • Demonstrated ability to operate in the environment which is a mix of big-tech scale and startup speed, taking projects that normally take years and delivering production-ready results with tight timelines

Nice to Haves
  • Experience with auction mechanics: first-price, second-price, reserve pricing, bid shading, and marketplace competition dynamics
  • Multi-stage ranking systems (retrieval, scoring, reranking), podding and ad break planning
  • Built or improved budget pacing and delivery control systems
  • Yield optimization, inventory forecasting, dynamic pricing, fill rate optimization, and demand/supply allocation strategies
  • Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale
  • Experience with experimentation infrastructure: A/B testing, holdout groups, interference-aware marketplace experiments
  • Built simulation or counterfactual testing platforms for marketplace or auction systems
  • Strong background in resiliency and reliability: ensuring system availability under extreme load (live events, traffic spikes)

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $499,000.00 - $900,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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