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Associate Platform Engineer Jobs in Warren, NJ (NOW HIRING)

Staffingine LLC

Senior Backend Python Developer

New York, NY · On-site

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contract The role is part of the Senior Cloud Platform Engineer who will be responsible for ... AWS Developer Associate certification good to have * AWS Certified Architect good to have Skills ...

GreyCell Labs, Inc.

Cloud Engineer - Senior

Manhattan, NY · On-site

$61 - $81.75/hr

Department of Financial Services Requirements : * 84 months of experience in platform engineering ... Google Cloud Professional DevOps Engineer, Terraform Associate (HashiCorp), or CKA/CKAD (Kubernetes)

Accenture

Senior Advanced AI Research Engineer

New York, NY · On-site

$114K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Platform Contribution & Integration: * Work alongside platform engineers to integrate validated ... Associate's degree) in Computer Science, Computer Engineering, or a related field. * Minimum of 5 ...

New

Kestra Technologies

Solution Engineer Associate

New York, NY · Remote

  • Medical

  • Retirement

  • PTO

... platform that simplifies complex data workflows and business processes. We bridge the gap between ... The Role As an Associate Customer Success / Solutions Engineer , you'll sit at the intersection of ...

MJH Life Sciences

Associate Product Engineer

Cranbury, NJ · On-site

$65K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking an Associate Product Engineer to join our Enterprise Platforms team - the group that builds the internal systems connecting MJH's business-critical platforms into cohesive, automated ...

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All JobsAssociate Platform Engineer JobsAssociate Platform Engineer Jobs in Warren, NJ

Associate Platform Engineer information

See Warren, NJ salary details

$43.1K

$85.8K

$137.1K

How much do associate platform engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for associate platform engineer in Warren, NJ is $85,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $98,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by associate platform engineers during their first year, and how can they overcome them?

Associate Platform Engineers often encounter challenges such as adapting to complex infrastructure, learning new tools and technologies, and understanding existing deployment pipelines. It can also be a steep learning curve to balance maintaining platform stability while contributing to enhancements. To overcome these challenges, new engineers should actively seek mentorship from senior team members, participate in code reviews, and regularly communicate with both development and operations teams to gain a holistic understanding of the platform environment.

What does an associate platform engineer do?

An Associate Platform Engineer is responsible for supporting the development, maintenance, and optimization of the underlying systems and infrastructure that enable software applications to run efficiently. They typically work with cloud platforms, automation tools, and monitoring systems to ensure stability, scalability, and performance. This entry-level role often involves collaborating with senior engineers, writing scripts, managing deployments, and troubleshooting technical issues. Associate Platform Engineers help ensure that development and operations teams have the tools and environments necessary to deliver high-quality products.

What are the key skills and qualifications needed to thrive as an associate platform engineer?

To thrive as an Associate Platform Engineer, you need a solid understanding of computer science fundamentals, scripting or programming skills (such as Python or Bash), and a relevant degree or equivalent experience. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker or Kubernetes), and CI/CD systems is typically required. Strong problem-solving abilities, collaboration, and effective communication help you stand out in this role. These skills and qualities are crucial for building reliable infrastructure and supporting seamless software deployment in dynamic tech environments.

What is the difference between Associate Platform Engineer vs Software Engineer?

AspectAssociate Platform EngineerSoftware Engineer
CredentialsBachelor's in CS or related field, certifications like AWS or Azure are commonBachelor's in CS or related field, certifications optional
Work EnvironmentFocus on cloud infrastructure, deployment, and automationDevelops applications, algorithms, and software solutions
Employer & Industry UsageTech companies, cloud service providers, startupsWide range of industries including tech, finance, healthcare

The Associate Platform Engineer primarily works on cloud infrastructure, deployment, and automation tasks, supporting platform stability. In contrast, Software Engineers focus on developing software applications and features. Both roles require a strong technical background, but their daily responsibilities and focus areas differ significantly.

What cities near Warren, NJ are hiring for Associate Platform Engineer jobs?

Cities near Warren, NJ with the most Associate Platform Engineer job openings:

Associate Platform Engineer jobs near you

Senior Machine Learning Engineer, AI Agent Platform

GEICO

New York, NY • On-site

$114K - $157K/yr

Full-time

Re-posted 2 days ago

GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

164th of 308 rated insurance

Job description

Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
Senior Machine Learning Engineer - AI Agent Platform
Position Description
GEICO is seeking an experienced Sr. ML Engineer to join our AI organization. You will play a key role in the development of GEICO's virtual assistant platform that elevates productivity for 30K+ internal associates and the customer experience for millions of policyholders. You will collaborate with a dynamic team of AI and software engineers to design, develop, and deploy systems that ensure productivity, scalability, and usability of GenAI workflows across GEICO.
AI Agent Platform Engineers are responsible for building key multi-tenant services that power the building, testing, simulation, deployment, and hosting of LLM-based AI agents. This includes contributing to AI agent skill ecosystems, harness and context engineering infrastructure, interoperability layers (MCP, Skills), and guardrail systems- working closely with Staff and Sr. Staff engineers who set the broader architectural direction. The ideal candidate should demonstrate a proven track record of building high-performance Generative AI Systems and platforms.
Responsibilities
  • Contribute to building an enterprise AI agent skill ecosystem - developing services that support authoring, publishing, discovering, and versioning reusable skill packages (SKILL.md standard). Implement skill marketplace features including search/discovery, security vetting pipelines, and progressive disclosure loading.
  • Build and maintain AI agent harness components - the non-model infrastructure (tool dispatch, context management, error recovery, session state) that makes AI agents reliable for long-running workflows. Implement feedforward guides and feedback sensors mixing computational and inferential controls.
  • Contribute to context engineering systems that manage the LLM context window - memory management, RAG pipelines, context compaction/summarization, scratchpads, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time.
  • Implement guardrail components including input validation, prompt injection defense, PII detection, output verification, and skill-level security scanning. Contribute to bounded autonomy systems, human-in-the-loop escalation paths, and audit trail infrastructure.
  • Contribute to experimentation of software platforms, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
  • Collaborate with cross-functional teams including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope, and prioritize feature backlogs for AI agent use cases.
  • Assist in the planning and estimation of software development projects, ensuring efficient allocation of resources and timely delivery of solutions.
  • Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

Basic Qualifications
  • 5+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python, or C#.
  • 4+ years of experience designing and building AI/ML platforms and systems utilizing open-source/cloud-agnostic components such as search engines (e.g., OpenSearch, Milvus), data warehouses (e.g., Snowflake), streaming platforms (e.g., Kafka), relational databases (e.g., PostgreSQL), NoSQL (e.g. Cassandra), distributed processing (e.g., Spark, Ray), workflow management (e.g., Airflow, Temporal), memory management (e.g., Redis/Valkey), etc.
  • 3+ years' experience contributing towards end-to-end software development lifecycles (version control, CI/CD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support, etc.).
  • 3+ years' experience building evaluation and observability systems for AI/ML models and LLMs, especially utilizing GPU-powered infrastructure.
  • Familiarity with harness engineering concepts - memory management, RAG, context/ tool management, guardrails, etc.
  • Strong communication and problem-solving skills to excel in dynamic, cross-functional decision-making environments.
  • Bachelor's degree or above in Computer Science, Engineering, Statistics, or a related field.

Preferred Qualifications
  • 3+ years' experience building conversational experiences and agentic workflows, leveraging open-source and proprietary LLMs
  • Experience contributing to AI agent harness infrastructure - tool dispatch, error recovery, session state management, or sub-agent coordination using feedforward/feedback control patterns.
  • Experience with AI agent skill systems - building or integrating reusable skill packages, skill registries, MCP servers, etc. along with governance & control measures.
  • Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI).
  • Experience with LLM observability platforms such as LangSmith, Langfuse, etc.
  • Experience building ai agent guardrails

Annual Salary
$105,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life's twists and turns with innovation and integrity.
Great Careers:Personalized development programs, mentorship, and certification assistance.
Great Culture:Inclusive and collaborative culture rooted in shared success.
Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

What GEICO employees say

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936

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