ZipRecruiter

Log In

1

Python Go Developer Jobs in New Jersey (NOW HIRING)

DTCC

DevSecOps Engineer

Jersey City, NJ · On-site

... Python, Go, TypeScript, or Java) * Git-based workflows and DevOps tooling (e.g., GitHub Actions, GitLab CI/CD) * CNAPP * Strong hands-on experience with Terraform and Bicep (or CloudFormation for AWS)

DTCC

Lead DevSecOps Engineer

Jersey City, NJ · On-site

$112.10K - $147.70K/yr

... Python, Go, TypeScript, or Java) * Git-based workflows and DevOps tooling (e.g., GitHub Actions, GitLab CI/CD) * CNAPP * Strong hands-on experience with Terraform and Bicep (or CloudFormation for AWS)

DTCC

Lead DevSecOps Engineer

Jersey City, NJ · Hybrid

$107K - $140.90K/yr

... Python, Go, TypeScript, or Java) * Git-based workflows and DevOps tooling (e.g., GitHub Actions, GitLab CI/CD) * CNAPP * Strong hands-on experience with Terraform and Bicep (or CloudFormation for AWS)

Hermitage Infotech

Java Developer

Englewood, NJ · Hybrid

$53.50 - $69.25/hr

Please go through the below req and reply me back with your updated resume, minimum expected hourly ... Englewood, NJ Strong in core Java and Spring, Spring boot Graphql, Python, AWS Knowledge of Nifi ...

Hermitage Infotech

Java Developer

Englewood, NJ · On-site

$53.50 - $69.25/hr

Please go through the below req and reply me back with your updated resume, minimum expected hourly ... Englewood, NJ Strong in core Java and Spring, Spring boot Graphql, Python, AWS Knowledge of Nifi ...

Hermitage Infotech

Java Developer

Englewood, NJ · Hybrid

$53.50 - $69.25/hr

Please go through the below req and reply me back with your updated resume, minimum expected hourly ... Englewood, NJ Strong in core Java and Spring, Spring boot Graphql, Python, AWS Knowledge of Nifi ...

DTCC

Lead Cloud DevSecOps Engineer

Jersey City, NJ · On-site

$112.10K - $147.70K/yr

... Python, Go, TypeScript, or Java) * Git-based workflows and DevOps tooling (e.g., GitHub Actions, GitLab CI/CD) * Strong hands-on experience with Terraform and Bicep (or CloudFormation for AWS)

DTCC

Lead Cloud DevSecOps Engineer

Jersey City, NJ · Hybrid

$107K - $140.90K/yr

... Python, Go, TypeScript, or Java) * Git-based workflows and DevOps tooling (e.g., GitHub Actions, GitLab CI/CD) * Strong hands-on experience with Terraform and Bicep (or CloudFormation for AWS)

CoreWeave

Staff Production Engineer

Livingston, NJ · On-site

Strong programming experience (Python, Go, or similar) with a history of shipping and operating production systems. * Deep expertise in cloud-native platforms and distributed systems, especially ...

Diverse Lynx

AWS Devops Engineer

Whippany, NJ · On-site

$53.25 - $73/hr

... Python, Bash, or Go. • Strong Linux system administration and networking knowledge. • Minimum 5-8+ years of experience. Company : Diverse Lynx is a WBENC- and NMSDC-certified partner, helping ...

CoreWeave

Systems Engineer, Kernel

Livingston, NJ · On-site

$165K - $242K/yr

Python, Go, bash/sh, C * Prometheus, Victoria Metrics, Grafana * Linux Kernel (custom build ... Strong C programming skills with the ability to write maintainable and upstream-quality code.

S&P Global

Lead Penetration Test Engineer

Princeton, NJ · Hybrid

$135K/yr

Strong scripting or programming skills (e.g., Bash, Python, Go, PowerShell, JavaScript). Experience performing security assessments (DAST, SAST, SCA, credential scanning) and integrating security ...

New

next page

Showing results 1-20

People also search for

All JobsPython Go Developer JobsPython Go Developer Jobs in New Jersey

Python Go Developer information

What are the key skills and qualifications needed to thrive as a Python Go Developer, and why are they important?

To thrive as a Python Go Developer, you need strong proficiency in both Python and Go programming languages, experience with software development life cycles, and often a relevant degree in computer science or a related field. Familiarity with frameworks (such as Flask or Gin), RESTful APIs, version control systems like Git, and cloud platforms such as AWS or GCP is typically expected. Effective problem-solving, teamwork, and strong communication skills help developers collaborate and adapt to evolving project needs. Mastery of these skills ensures efficient delivery of high-quality, scalable software solutions in dynamic technical environments.

How do Python Go Developers typically balance working with both languages on a day-to-day basis?

Python Go Developers often split their time based on the specific requirements of a project—using Python for tasks like scripting, automation, or rapid prototyping, and Go for building high-performance backend services or microservices. Collaboration with other team members is common, as developers may integrate Python components with Go-based systems, requiring effective communication and code documentation. Staying adaptable and comfortable context-switching between languages is key, and most teams encourage continuous learning to keep skills sharp in both ecosystems.

What are Python Go Developers?

Python Go Developers are software engineers who specialize in writing and maintaining applications using both the Python and Go (Golang) programming languages. These professionals leverage the strengths of both languages—Python for rapid development and scripting, and Go for high-performance, concurrent backend services. Their work often involves building scalable web applications, APIs, or microservices, integrating systems, and optimizing performance. Employers value Python Go Developers for their versatility and ability to choose the best tool for each task.

What is the difference between Python Go Developer vs Java Developer?

AspectPython Go DeveloperJava Developer
Required CredentialsBachelor's in Computer Science or related, knowledge of Python and GoBachelor's in Computer Science or related, knowledge of Java
Work EnvironmentTech companies, startups, cloud servicesEnterprise software, financial institutions, large-scale applications
Industry UsageWeb development, cloud computing, microservicesBackend systems, Android apps, enterprise solutions
Common Search IntentDevelopers working with Python and Go, multi-language projectsDevelopers focusing on Java-based applications

The main difference between a Python Go Developer and a Java Developer lies in the programming languages they specialize in. Python Go Developers work with Python and Go for modern, scalable, and cloud-native applications, often in startups and tech firms. Java Developers focus on Java for enterprise-level solutions, especially in large organizations. Both roles require similar educational backgrounds but differ in language expertise and typical work environments.

What are popular job titles related to Python Go Developer jobs in New Jersey? For Python Go Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Python Go Developer jobs in New Jersey look for? The top searched job categories for Python Go Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Python Go Developer jobs? Cities in New Jersey with the most Python Go Developer job openings:
Python Go Developer jobs near you

AI Engineer with Agentic AI

UniqueHire Consulting LLC

Berkeley Heights, NJ • Hybrid

Other

Posted 4 days ago

Job description

Job Title: AI Engineer with Agentic AI Exp.

Location: Berkeley Heights, NJ / Alpharetta, GA (5 Days onsite)

Duration: 12 Months Contract

Mandatory Skills: AI native Software development, AI tools like Claude code or OpenAI Codex, Python AI, Java, Spring boot, LLM, RAG, Agentic AI, ML, Productionization MLOps, LLMOps
Good to Have Skills: AI/Generative AI, Google Cloud Platform Cloud Architecture & Services

Job Summary:

Required Qualifications

Must Have:

Strong software engineering fundamentals and proficiency in Python plus Java Go TypeScript is a strong plus

Experience of working with Codex.

Proven experience building LLM powered applications in production tool calling function, calling structured outputs retrieval and evaluation.

Experience designing distributed systems and APIs REST, RPC plus event driven patterns Kafka, SQS, Pub Sub.

Solid understanding of data engineering basics SQL data modeling feature engineering and data quality

Handson knowledge of cloud platforms AWS or Azure or Google Cloud Platform containers, Docker and orchestration Kubernetes preferred.

Ability to write clean testable secure code comfortable with code reviews and engineering rigor

Experience with multiagent systems planning verification and autonomous workflow execution

Experience with vector databases hybrid search and knowledge graphs

Familiarity with model evaluation offline evals golden datasets adversarial testing regression harnesses and AB testing.

Technical Skills:

Agent frameworks Lang Graph Semantic Kernel similar orchestration frameworks or equivalent custom implementations

RAG tooling embedding pipelines hybrid retrieval reranking chunking strategies citation provenance

Observability Open Telemetry structured logging dashboards ing

Data systems OLTP analytics warehouses lakes streaming pipelines feature stores optional

Testing unit integration tests for tools replay tests for agent traces eval harnesses for LLM outputs

Key Responsibilities:

  1. Agentic AI System Design Engineering

Design and implement agent architectures planner executor tool using agents multiagent orchestration reflection evaluation loops.

Build tooling integrations for agents merchant systems underwriting platforms transaction stores risk engines CRM case tools knowledge bases and workflow engines.

Implement robust state management session memory task plans provenance traceability and replay ability of agent actions

  1. LLM RAG Engineering for Payments Workloads

Develop RAG pipelines over policies SOPs card network rules underwriting guidelines dispute playbooks and merchant agreements.

Apply prompt and system design structured output patterns and schema validation for deterministic agent behaviour.

Optimize for latency cost and reliability using caching model routing and evaluation driven prompt iteration.

  1. ML Decisioning Integration

Combine LLM agents with classical ML models fraud scoring anomaly detection risk scoring and rules engines.

Build feedback loops from outcomes chargeback win rate false positives approval uplift to continuously improve models and agent strategies.

  1. Safety Compliance and Responsible AI

Implement guardrails PII handling policy enforcement prompt injection defences tool per missioning rate limiting and safe failover.

Ensure auditability why an agent took action evidence used and human approval where required humanintheloop.

  1. Productionization MLOps LLMOps

Build CICD for agent services evaluation suites telemetry drift detection and incident response playbooks.

Instrument agent behavior using tracing spans structured logs and metrics task success tool errors hallucination indicators

  1. Collaboration Leadership

Partner with Product Risk Ops Underwriting Compliance and Engineering to convert business problems into deployable AI solutions.

Mentor engineers set standards for agent design patterns testing and production readiness.

Apply