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Senior Data Center Infrastructure Engineer Jobs in Edison, NJ

Jane Street

Data Center Engineer

New York, NY · On-site

About the Position We are looking for an experienced Senior Data Center Engineer who can help our team keep Jane Street's data safe and accessible around the clock, which will involve a mix of hands ...

Jane Street

Data Center Engineer

New York, NY · On-site

About the Position We are looking for an experienced Senior Data Center Engineer who can help our team keep Jane Street's data safe and accessible around the clock, which will involve a mix of hands ...

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Senior Data Center Infrastructure Engineer information

See Edison, NJ salary details

$23.3K

$131.4K

$181.7K

How much do senior data center infrastructure engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data center infrastructure engineer in Edison, NJ is $131,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $152,700.00 per year, depending on experience, location, and employer.

What does a senior data center infrastructure engineer do?

A Senior Data Center Infrastructure Engineer is responsible for designing, implementing, and maintaining the physical and virtual infrastructure of data centers. This includes overseeing server hardware, networking equipment, power and cooling systems, and ensuring optimal performance, security, and reliability. They often lead projects to upgrade or expand data center capabilities, troubleshoot complex issues, and ensure compliance with industry standards. Additionally, they may mentor junior engineers and collaborate with other IT teams to support business operations.

What are the key skills and qualifications needed to thrive as a senior data center infrastructure engineer, and why are they important?

To thrive as a Senior Data Center Infrastructure Engineer, you need deep knowledge of server, storage, and network architecture, along with a relevant degree and substantial experience in data center operations. Expertise with virtualization platforms (such as VMware), monitoring systems, and certifications like Cisco CCNP or CompTIA Server+ are typically required. Strong problem-solving abilities, project management skills, and effective communication help you lead teams and coordinate across departments. These competencies ensure reliable, secure, and scalable data center environments that support critical business operations.

What are some of the most common challenges faced by senior data center infrastructure engineers, and how can they be addressed?

Senior Data Center Infrastructure Engineers often encounter challenges such as ensuring continuous uptime, managing large-scale hardware deployments, and adapting to rapidly evolving technologies. Balancing the need for high availability with cost-efficiency requires strategic planning and proactive maintenance. Collaboration with network, security, and facilities teams is essential to address issues like power distribution, cooling, and disaster recovery. Staying updated on industry best practices and pursuing ongoing training can help engineers effectively manage these challenges.

What are the most commonly searched types of Data Center Infrastructure Engineer jobs in Edison, NJ?

The most popular types of Data Center Infrastructure Engineer jobs in Edison, NJ are:

What are popular job titles related to Senior Data Center Infrastructure Engineer jobs in Edison, NJ?

For Senior Data Center Infrastructure Engineer jobs in Edison, NJ, the most frequently searched job titles are:

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Cities near Edison, NJ with the most Senior Data Center Infrastructure Engineer job openings:

Senior Data Center Infrastructure Engineer jobs near you
Infographic showing various Senior Data Center Infrastructure Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $131,445 per year, or $63.2 per hour.

Senior Software Engineer, Data Infrastructure

Decagon

New York, NY • On-site

$200K - $400K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We're an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle - shape how we work and grow as a team.
About the Team
The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.
We organize around four focus areas:
  • Core Infra: The foundational cloud stack-networking, compute, storage, security, and infrastructure‑as‑code-to ensure reliability, scale, and cost efficiency.
  • Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
  • ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
  • Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.

Our mission is to deliver magical support experiences - AI agents working alongside humans to resolve issues quickly and accurately.
About the Role
We're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products. You'll own critical data pipelines and storage layers end‑to‑end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.
In this role, you will
  • Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.
  • Build and operate real‑time and batch ingestion infrastructure using tools like Kafka, Flink, and Airflow.
  • Own our analytical data layer - schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.
  • Partner with research and product teams to architect data solutions, evaluate performance, and scale new features.
  • Tune pipeline and query latencies: optimize data paths, apply smart caching/partitioning, and hit tight p95/p99 targets.
  • Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy‑as‑code.
  • Participate in on‑call and drive down toil through automation and elimination of recurring data issues.

Your background looks something like this
  • 5+ years building and operating production data infrastructure at scale.
  • Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.
  • Proven track record meeting high availability and low latency targets across streaming and batch workloads.
  • Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.
  • Clear written communication and the ability to turn ambiguous data requirements into simple, reliable designs.

Even better if you have
  • Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)
  • Familiarity with Spark or Dask for large‑scale data processing
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Experience being an early data/platform/infrastructure engineer at another company
  • Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)
  • Experience with customer‑managed deployments

Compensation
$200K - $400K + Offers Equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g., 401K, pension)
  • Parental Leave
  • Fertility and family building benefits through Carrot
  • Monthly stipend to support your wellness, lifestyle, and work-life balance
  • Daily lunches and snacks in the office to keep you at your best
  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

Apply