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python developer– generative ai & cloud (agentic ai)-5

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python developer– generative ai & cloud (agentic ai)-5 Jobs in Jersey City

senior generative ai developer 5

Realign

<div>Jersey City, New Jersey 07030 Posted February 28th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> Senior Generative AI Developer<br>
<b>Location </b>&ndash; Irving, TX / Tampa, FL / Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></div><div><b><br>
</b><br>
<b>Job Description:</b><br>
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.</div><div></div><div><b><br>
Key Responsibilities:</b><br>
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.<br>
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.<br>
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.<br>
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br>
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.<br>
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).<br>
Conduct performance tuning and optimization of AI models and APIs.<br>
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.</div><div><b><br>
Required Skills &amp; Qualifications</b><br>
8+ years of professional experience in software development and system design.<br>
Strong proficiency in Python and experience with FastAPI for API development.<br>
Hands-on experience with Generative AI frameworks and RAG architectures.<br>
Solid understanding of system and architecture design principles for distributed applications.<br>
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).<br>
Familiarity with vector databases, embedding models, and retrieval pipelines.<br>
Strong problem-solving skills and ability to work in a fast-paced environment.</div><div><b><br>
Preferred Qualifications</b><br>
Experience with LLM fine-tuning, prompt engineering, and model evaluation.<br>
Knowledge of containerization (Docker) and orchestration (Kubernetes).<br>
Exposure to CI/CD pipelines and DevOps practices.</div><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Senior Generative AI Developer-5

<div>Jersey City, New Jersey 07030 Posted March 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role </b>- Python Developer&ndash; Generative AI &amp; Cloud (Agentic AI)<br>
<b>Location - </b>Tampa, FL and Jersey City, NJ (3 Days onsite/week)<br>
<b>FTE</b></p><p></p><p><b><br>
Job Description:</b></p><ul><li>Strong hands‑on experience in Python development for AI/ML workloads</li><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)</li><li>Understanding/practical knowledge on Agentic AI frameworks</li><li>Experience working with cloud‑native AI services on GCP/AWS/Azure</li><li>Understanding of privacy‑preserving ML techniques and responsible AI practices</li><li>Experience working with prompt engineering including tool calling and guardrails</li><li>Familiarity with MLOps pipelines, model deployment, and monitoring</li><li>Ability to design scalable, production‑ready AI solutions</li></ul><p><b>
Key Responsibilities:</b></p><ul><li>Design, develop, and optimize Python‑based AI/ML applications</li><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks</li><li>Integrate AI models with cloud platforms and managed AI services</li><li>Develop scalable APIs and microservices supporting AI workloads</li><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions</li><li>Implement CI/CD pipelines ensuring code quality, testing, and security</li><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments</li><li>Ensure compliance with data privacy, security, and responsible AI guidelines</li></ul><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Python Developer– Generative AI & Cloud (Agentic AI)-5

Tiger Analytics

<div><p>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.</p><p>
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.</p><b><br>
Requirements</b><p><b><br>
Key Responsibilities</b></p><ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul><p><b>
Required Skills</b></p><ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul><br>
<b>
Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.</p><p></p><p><b><i>
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</i></b></p></div><p></p>

Senior Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b>
</p><ul><li>Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
</li><li>Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
</li><li>Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
</li><li>Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation.
</li><li>Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications.
</li><li>Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
</li><li>Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.</li></ul><p><br>
</p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field
</li><li>6+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
</li><li>Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
</li><li>Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
</li><li>Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly Transformer.
</li><li>Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
</li><li>Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
</li><li>A portfolio showcasing successful applications of generative models in LLM projects, including examples of utilizing OpenAI APIs and model fine-tuning.</li></ul><p><br>
</p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><ul><li>Familiarity with the financial services industries.
</li><li>Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AIML Sr. Associate - DCL

<div><b>JOB DESCRIPTION</b><div><div><div><br>
</div><p>As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p><b>
Job responsibilities</b>
</p><ul><li>Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
</li><li>Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
</li><li>Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
</li><li>Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation.
</li><li>Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications.
</li><li>Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
</li><li>Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.</li></ul><p><br>
</p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field
</li><li>3+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
</li><li>Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
</li><li>Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
</li><li>Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly Transformer.
</li><li>Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
</li><li>Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
</li><li>A portfolio showcasing successful applications of generative models in LLM projects, including examples of utilizing OpenAI APIs and model fine-tuning.</li></ul><p><br>
</p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><ul><li>Familiarity with the financial services industries.
</li><li>Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul></div></div><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AIML Associate - DCL

<div>Jersey City, New Jersey 07030 Posted February 28th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Position Title : Senior .NET Developer &ndash; IAM (PowerShell Focus)</b></div><div><b>
Location :- Jersey City, NJ / Tampa, FL (Onsite)</b><br>
<b>Fulltime</b></div><div></div><p><br>
Senior .NET Developer with a strong PowerShell scripting background to support and enhance Identity and Access Management (IAM) solutions. The ideal candidate will have hands-on experience building, automating, and integrating IAM workflows, identity lifecycle processes, and access controls across enterprise systems.</p><p>
Design, develop, and maintain .NET-based applications and services supporting IAM platforms</p><p>
Develop and optimize PowerShell scripts for:</p><p>
User provisioning and de-provisioning</p><p>
Access management and role assignments</p><p>
Identity lifecycle automation</p><p>
System integrations and batch jobs</p><p>
Integrate IAM solutions with Active Directory, Azure AD, LDAP, and other identity repositories</p><p>
Work closely with security, infrastructure, and application teams to implement IAM controls</p><p>
Build RESTful APIs and services for IAM integrations</p><p>
Troubleshoot IAM-related issues and perform root cause analysis</p><p>
Ensure solutions comply with security standards, audit, and compliance requirements</p><p>
Participate in solution design, code reviews, and technical documentation</p><p>
Support IAM deployments, upgrades, and production issues</p><p></p><p><b><br>
Required Skills &amp; Qualifications</b></p><p>
8&ndash;10 years of professional software development experience</p><p>
Strong expertise in .NET / .NET Core / C#</p><p>
Advanced PowerShell scripting experience (mandatory)</p><p>
Solid understanding of IAM concepts:</p><p>
Authentication &amp; Authorization</p><p>
RBAC / ABAC</p><p>
Identity lifecycle management</p><p>
Access governance</p><p>
Experience with Active Directory, Azure AD, LDAP</p><p>
Hands-on experience with REST APIs, Web Services (JSON/XML)</p><p>
Strong SQL skills (SQL Server preferred)</p><p>
Experience with source control tools like Git / Azure DevOps</p><p>
Familiarity with CI/CD pipelines</p><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Senior .NET Developer / IAM (PowerShell Focus) (Onsite)-5

Photon

<div><div><div><div><p>Senior Engineer in Production Management<br>
</p></div><p></p><div><p>The Senior Engineer in Production Management, will be responsible for the development and overall implementation of software in a complex, critical and large cross-departmental and multi-disciplinary area.
</p></div><div><p>The role is part of a multi-year transformation journey that will require a successful candidate to establish best practices, motivate and promote a cultural shift that will ensure a successful adoption of Engineering Principles and Practices within Production Management.
</p></div><div><p>The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects.
</p></div><div><p>Excellent communication skills required to negotiate internally.
 </p></div><div><p>Involved in short- to medium-term planning of actions and resources for own area.<br>
</p></div><p></p><div><p><b>Responsibilities:
</b></p></div><div><ul><li>Demonstrates an in-depth understanding of Software Development Lifecycle and how it integrates within the overall technology landscape to deliver scalable, reliable and resilient applications.
</li></ul></div><div><ul><li>Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures.
</li></ul></div><div><ul><li>Operates into a highly regulated environment that requires in-depth understanding of the regulatory requirements and the industry implications for our technologies.
</li></ul></div><div><ul><li>Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices.
</li></ul></div><div><ul><li>Drives Continuous Delivery and Automation efforts across the supported applications by means of Root Cause Analysis reviews, Knowledge management, Performance tuning, and user training.
</li></ul></div><div><ul><li>Fosters a culture that promotes transparency and innovation for increased team productivity.
</li></ul></div><div><ul><li>Coaching members of the team and outside the immediate reporting line about the best practices and recognises anti-patterns that are quickly addressed.
</li></ul></div><div><ul><li>Implements the Agile Framework through one of its implementations like SCRUM or Kanban and ensures it integrates with overall organisation processes.
</li></ul></div><div>Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period.<br>
<ul><li>
</li></ul></div></div><p></p><div><div><p><b>Qualifications:
</b></p></div><div><ul><li>Relevant experience in a critical software development role with high business impact, ability to understand how software delivers business value
</li></ul></div><div><ul><li>Excellent engineering skills and senior architecture
</li></ul></div><div><ul><li>Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
</li></ul></div><div><ul><li>Polyglot full-stack developer mentality and ability to pick up new languages and skills
</li></ul></div><div><ul><li>Excellent understanding of Software Engineering concepts like Software Development Life Cycle and GitOps
</li></ul></div><div><ul><li>Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application and database stacks
</li></ul></div><div><ul><li>Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh, like Istio, is highly desirable
</li></ul></div><div><ul><li>Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable
</li></ul></div><div><ul><li>Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban)
</li></ul></div><div><ul><li>Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
</li></ul></div><div><ul><li>Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
</li></ul></div><div><ul><li>Degree in computer science/mathematics/physics or related technical subject is desirable
</li></ul></div><div><ul><li>Experience of senior stakeholder management
</li></ul></div><div>Consistently demonstrates clear and concise written and verbal communication skills<br>
<ul><li>
</li></ul></div><p></p><div><p><b>Role Skills Matrix:<br>
</b></p></div></div><div></div><div><div><div><div><div><div><div><div><p><b>Skill<br>
</b></p></div></div></div><div><div><div><p><b>Rating*<br>
</b></p></div></div></div></div><br>
<div><div><div><div><p>Containerisation<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Kubernetes<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>GitOps<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Infrastructure as Code<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Configuration Management<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Observability (tools and implementation)<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Middleware configuration<br>
</p></div></div></div><div><div><div><p>2<br>
</p></div></div></div></div><br>
<div><div><div><div><p>High Availability Systems<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Hyperscale Systems<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Programming (Java, Python or equivalent)<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
</div></div></div></div><p></p><div><ul><li>Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:
</li></ul></div><div><p>1 = Junior contributor, understands key concepts and can operate with close supervision
</p></div><div><p>2 = Proficient contributor, fully grasps the key concepts, but no production experience
</p></div><div><p>3 = Independent contributor, understands technology well and has delivered production systems
</p></div><div><p>4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support
</p></div><div><p>5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap
</p></div><p><b>Compensation, Benefits and Duration
</b></p><p>Minimum Compensation: USD 40,000
<br>
Maximum Compensation: USD 141,000
<br>
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
<br>
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
<br>
This position is not available for independent contractors
<br>
No applications will be considered if received more than 120 days after the date of this post</p></div></div>

Sr Full Stack Engineer - Jersey City

Explore 39+ Senior generative ai developer 5 in Jersey City this March. Find roles across top companies and apply now to boost your career.