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You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you are part of an agile team that work

SolarWinds Engineer Newark, NJ Hybrid Complete Description: Key Responsibilities Architect, deploy, and optimize SolarWinds modules (NPM, SAM, NTA, DPA) and LogicMonitor platforms across transit systems. Develop custom dashboards, alerts, and reports aligned with operational KPIs and SLA thresholds using both SolarWinds and LogicMonitor. Integrate SolarWinds with cloud platforms, enterprise systems, and third-party tools for unified observability. Partner with application owners to provide out-of-the-box and custom monitoring. Collaborate with cybersecurity, cloud, and operations teams to ensure resilient monitoring coverage. Maintain and enhance monitoring for infrastructure operations. Document architecture, workflows, and escalation protocols for internal and vendor stakeholders. Required Qualifications 5+ years of hands-on experience with SolarWinds in enterprise or public sector environments. 3+ years of experience deploying and managing LogicMonitor in hybrid or cloud environments. Strong command of SNMP, WMI, NetFlow, and database polling techniques. Proficiency in scripting (PowerShell, Python) for automation and custom integrations. Experience with hybrid environments (on-prem/cloud), especially Azure or AWS. Familiarity with database queries for custom database monitoring. Familiarity with ITIL practices and incident response workflows. Preferred Experience Demonstrable experience in critical infrastructure domains. SolarWinds Certified Professional (SCP) or equivalent certifications. LogicMonitor Certified Associate or Professional is a plus. Experience with Orion SDK and API-based data extraction.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of SRE / Site Reliability Engineer to join our Technology team. This role is located in Jersey City, NJ. In this role, you’ll make an impact in the following ways: • Drive reliability and performance by defining SLOs/SLIs, improving observability, and proactively identifying and addressing system bottlenecks across cloud environments., • Automate infrastructure and operations using Terraform, Kubernetes, and CI/CD tools to eliminate toil and enable scalable, fault-tolerant deployments., • Collaborate cross-functionally with product, infrastructure, and DevOps teams to reduce incidents, build resilient services, and ensure architectural clarity., • Lead incident management by participating in on-call rotations, conducting postmortems, and implementing automated recovery to minimize downtime., • Build and maintain monitoring systems with tools like Prometheus, Grafana, AppDynamics, and Splunk to support real-time alerting and root cause analysis., • Develop platform tooling and pipelines for container orchestration, third-party integrations, and cloud-native operations to improve system efficiency and reliability., • Maintain and improve live services by measuring and monitoring latency and overall system health, working closely with tech support and operations teams., • Leverage and define KPIs to understand service performance and identify corrective actions., • Create, manage, and use dashboards for continuous monitoring and health checks of applications and underlying infrastructure., • Design and implement solutions to customer friction points and improve the entire lifecycle of services from inception through sustainment., • Assist in creating and maintaining automation to improve reliability and velocity in addressing issues during regular maintenance tasks., • Mentor engineers and champion SRE best practices, embedding a reliability-first culture and ensuring technical excellence across engineering teams. To be successful in this role, we’re seeking the following:, • Bachelor’s degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred., • 5-8 years of related experience; experience in the securities or financial services industry is a plus., • Strong expertise in cloud infrastructure (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Helm)., • Proficiency in observability and monitoring tools such as Prometheus, Grafana, AppDynamics, Datadog, Splunk, and experience with incident response and on-call support., • Solid programming and scripting skills in languages like Python, Go, or Java, with a focus on automation, tooling, and system integration., • Deep understanding of SRE principles, including SLAs, SLOs, error budgets, postmortems, and reliability-focused system design., • Familiarity with automated testing, DevSecOps practices, CI/CD methods, performance engineering, and security controls., • Strong collaboration and communication skills, with experience working in Agile environments and partnering with cross-functional engineering, product, and operations teams., • Previous success in technical engineering and coding experience beyond simple scripts. At BNY, our culture speaks for itself, check out the latest BNY news at: ___ ___ Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $83,000 and $155,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Digital and Platform Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Lea

Key Responsibilities** - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmar

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Experience with CI/CD, DevOps, and modern software engineering practices. As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk team, you will play a pivotal role in designing and implementing scalable hybrid cloud solutions.

Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python.

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job Title: Lead Data Engineer Job Location: Roseland New Jersey 07068 Onsite Requirements: Data Bricks - must be skilled in data pipelines AWS - Experienced in AWS services related to data migration PySpark - Proficient in pythodor pyspark to build data ingestion for structured and unstructured data Job Description: As a Lead Data Engineer, you will spearhead the design and delivery of a data hub/marketplace aimed at providing curated client service data to internal data consumers, including analysts, data scientists, analytic content authors, downstream applications, and data warehouses. You will develop a service data hub solution that enables internal data consumers to create and maintain data integration workflows, manage subscriptions, and access content to understand data meaning and lineage. You will design and maintain enterprise data models for contact center-oriented data lakes, warehouses, and analytic models (relational, OLAP/dimensional, columnar, etc.). You will collaborate with source system owners to define integration rules and data acquisition options (streaming, replication, batch, etc.). You will work with data engineers to define workflows and data quality monitors. You will perform detailed data analysis to understand the content and viability of data sources to meet desired use cases and help define and maintain enterprise data taxonomy and data catalog. This role requires clear, compelling, and influential communication skills. You will mentor developers and collaborate with peer architects and developers on other teams. Responsibilities: Ability to define and design complex data integration solutions with general direction and stakeholder access. Capability to work independently and as part of a global, multi-faceted data warehousing and analytics team. Advanced knowledge of cloud-based data engineering and data warehousing solutions, especially AWS, Databricks, and/or Snowflake. Highly skilled in RDBMS platforms such as Oracle, SQLServer. Familiarity with NoSQL DB platforms like MongoDB. Understanding of data modeling and data engineering, including SQL and Python. Strong understanding of data quality, compliance, governance and security. Proficiency in languages such as Python, SQL, and PySpark. Experience in building data ingestion pipelines for structured and unstructured data for storage and optimal retrieval. Ability to design and develop scalable data pipelines. Knowledge of cloud-based and on-prem contact center technologies such as Salesforce.com, ServiceNow, Oracle CRM, Genesys Cloud, Genesys InfoMart, Calabrio Voice Recording, Nuance Voice Biometrics, IBM Chatbot, etc., is highly desirable. Experience with code repository and project tools such as GitHub, JIRA, and Confluence. Working experience with CI/CD (Continuous Integration & Continuous Deployment) process, with hands-on expertise in Jenkins, Terraform, Splunk, and Dynatrace. Highly innovative with an aptitude for foresight, systems thinking, and design thinking, with a bias towards simplifying processes. Detail-oriented with strong analytical, problem-solving, and organizational skills. Ability to clearly communicate with both technical and business teams. Knowledge of Informatica PowerCenter, Data Quality, and Data Catalog is a plus. Knowledge of Agile development methodologies is a plus. Having a Databricks data engineer associate certification is a plus but not mandatory. Qualification: Bachelor's degree in computer science, information technology, or a similar field. 8+ years of experience integrating and transforming contact center data into standard, consumption-ready data sets incorporating standardized KPIs, supporting metrics, attributes, and enterprise hierarchies. Expertise in designing and deploying data integration solutions using web services with client-driven workflows and subscription features. Knowledge of mathematical foundations and statistical analysis. Strong interpersonal skills. Excellent communication and presentation skills. Advanced troubleshooting skills. 3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply. No 3rdparty This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. This client is a US Federal Government contractor and is legally required to hire US Citizens. US Citizens will only be considered for this role. USC, GC, GCEAD

Role: Investment Analytics Location: Jersey City, NJ (Hybrid). Contract Job Responsibilities: Experience in Production Support Investments (Evaluations, Cash Flow, Projection, Analytics) 6-8 years of relevant experience Python or Perl Oracle/Snowflake Excellent communication

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced professional Job Title: Infrastructure and DevOps Engineer Work Mode: Hybrid (expected in the office weekly 3 days depending on the team requirement) Pay Rate Range: $106.00 - $109.00 Negotiable based upon years of experience • Note: You will need to have reliable internet, computer and android or iPhone for remote access into the client systems during remote work. We are seeking a highly motivated and experienced professional to join our dynamic team. In this pivotal role, you will be responsible for: • Designing, building, and maintaining scalable and reliable infrastructure., • Automating operational processes., • Fostering a culture of continuous improvement and collaboration between development and operations., • Ensuring smooth operation and continuous delivery of applications. Key Responsibilities • Design, implement, and manage highly available, scalable, and secure cloud infrastructure, including Virtual Machines, OpenShift, and Kubernetes., • Develop, maintain, and optimize CI/CD pipelines for rapid and reliable software deployment., • Conduct and participate in Disaster Recovery Testing for system resiliency and business continuity., • Implement and manage Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible., • Monitor system performance, troubleshoot complex issues, and ensure proactive incident resolution., • Automate operational tasks, build tools, and improve processes to enhance efficiency., • Collaborate closely with development teams to integrate DevOps practices and improve system reliability., • Implement and enforce security best practices and compliance standards., • Participate in an on-call rotation to support critical production systems and respond to incidents. Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • 10 years of experience in a DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering role., • Proven expertise with at least one major cloud provider (e.g., AWS, Azure, GCP) within a Linux environment., • Proficiency in scripting and programming languages (e.g., Java, Bash, SQL, Python)., • Extensive experience with CI/CD tools (e.g., Jenkins, Tekton, TeamCity)., • Solid understanding and hands-on experience with containerization technologies (Docker) and orchestration platforms (Kubernetes, OpenShift)., • Experience with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog)., • Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible., • Strong understanding of Linux operating systems and networking fundamentals., • Experience with Oracle databases. Preferred Qualifications • Relevant professional certifications (e.g., AWS Certified DevOps Engineer, Kubernetes Administrator, Oracle Certified Professional)., • Experience with microservices architectures and serverless computing., • Knowledge of security best practices, compliance frameworks (e.g., ISO 27001, SOC 2), and security tools., • Excellent communication and collaboration skills.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job Title: F5 Load Balancer Engineer Duration: 18 Month W2 Contract Location: Jersey City, NJ Required Pay Scale: $60-$70/hour Job Summary: Face to Face INTERVIEW REQUIRED; ONE AND DONE! F5 Engineers Senior Load balancer engineer required to build complex solutions for the client's applications Responsibilities include: • Perform various load balancer changes in accordance with project requirements., • This includes building new configurations, such as new VIPs, and or WideIP setups, • Modifying existing setups and troubleshooting application traffic issues flowing through load balancers Main points of contact: • Project managers, • Peers on his team for design peer review, • Escalations to team lead and manage when necessary • Expert level on F5 Load balancing LTM GTM, • Expert on F5 iRules control traffic flows and manipulate headers, • Strong understanding of TCP/IP network communications Need good experience with F5 (GTM, LTM, SSL offloading) -L2/L3 support experience -Good routing and switching experience -Strong DNS experience -Need Load Balancing SME ; Good experience with load balancing options and features including OneConnect, Persistence, SSL and HTTP. Also need experience with C -Good experience with iRules and/or iControls -Experience with Capacity/threshold management and workload management Senior Load balancer engineer required to build complex solutions for Bank of America's applications Expert level on F5 Lad balancing LTM GTM, Python needed Expert on F5 iRules control traffic flows and manipulate headers Strong understanding of TCP/IP network communications Understanding of programming skills including Python, JAVA, TCL, Javascript, JQuery, Perl Strong communication skills to work with project managers and solution architects on deliverables About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

We are seeking an experienced R&D Data & System Integration Consultant (full-time (40-hrs per week Mon-Fri, 12-month, 1099 contract position) to lead and support the integration of multiple R&D systems as part of a major organizational transformation. This role will focus on harmonizing data structures, mapping legacy systems to new platforms, and integrating specification management systems into a unified R&D environment. You will play a key role in defining integration strategies, designing scalable data pipelines, and transforming complex datasets into actionable insights through analytics and dashboards. This position is ideal for a hands-on professional who can work on a full-time, 1099 contract basis, and combines strong data engineering expertise, system integration acumen, and experience managing enterprise R&D tools as a system business owner. Key Responsibilities Include the Following: System Integration & Data Consolidation • Lead the integration and harmonization of R&D systems (e.g., Specright, etc.) to create a unified data ecosystem., • Perform detailed data mapping between legacy and target systems, ensuring alignment of structures, semantics, and governance standards., • Partner with R&D, Master Data, IT, and business stakeholders to define integration architecture, workflows, and interface requirements., • Develop and maintain interactive dashboards and reports in Power BI and/or Tableau to track integration progress, data quality, and key R&D performance metrics., • Act as a system business owner or subject matter expert for key R&D platforms—helping shape governance, user requirements, and roadmap priorities., • Document data mappings, transformation logic, and system relationships in alignment with organizational standards., • Support training, communication, and adoption for new and merged system environments. Qualifications Include the Following: Education: • Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, or a related technical discipline., • 5+ years of experience in data engineering, system integration, or data migration within R&D or manufacturing contexts., • Proven experience in data mapping and system harmonization across multiple enterprise platforms., • Hands-on experience with Specright or other specification management systems is highly desirable., • Proficiency in SQL, Python, and modern ETL/ELT tools (e.g., Azure Data Factory, Databricks, Talend, or similar)., • Expertise in Power BI and/or Tableau for data visualization and reporting., • Understanding of API integrations, data modeling, and cloud-based architectures (Azure, AWS, or GCP)., • Excellent communication and stakeholder engagement skills, able to bridge technical and business domains., • Strong analytical mindset and problem-solving ability in complex data landscapes., • Comfortable leading discussions with technical teams, vendors, and business leaders alike., • Adaptable, proactive, and experienced in change-driven, fast-paced environments.

Role: Lead Data Engineer (W2 Only) Location: Hybrid 3 times a week in Roseland, NJ Must haves: AWS Databricks Lead experience- this can be supplemented for staff as well Python Pyspark Contact Center Experience Data Engineer Requirements: • Bachelor's degree in computer science, information technology, or a similar field., • 8+ years of experience integrating and transforming contact center data into standard, consumption-ready data sets incorporating standardized KPIs, supporting metrics, attributes, and enterprise hierarchies., • Expertise in designing and deploying data integration solutions using web services with client-driven workflows and subscription features., • Knowledge of mathematical foundations and statistical analysis., • Strong interpersonal skills., • Excellent communication and presentation skills., • Advanced troubleshooting skills. Thanks and Regards, Jeet Kumar Thapa Technical Recruiter Oreva Technologies Inc. P: 972-996-6477 Ext: 323 E: L: ___ A: 1320 Greenway Drive, Suite 460, Irving, TX 75038 W: ___

Job Summary: We are currently looking for Senior AI engineer to join our team in New Jersey. The ideal candidate will be effective in engaging with technical teams, communicating with key business stakeholders, and adhere to industry leading best practices for a secure and reliable design and implementation. Experience within the Banking or Financial Services sector is highly desirable. Responsibilities: • Design end-to-end architecture for AI agents., • Define integration points with authentication, entitlements, and existing systems., • Oversee implementation of centralized Vector Store and ingestion pipeline., • Ensure compliance with security and regulatory standards., • Implement embedding generation and vector similarity search., • Optimize models for performance (response time <30s, accuracy >90%)., • Collaborate on explainability and compliance features., • Build ingestion pipeline for structured/unstructured content., • Implement scalable Vector Store with metadata and entitlement-aware retrieval., • Integrate with content platforms (AEM, SharePoint, Content Cloud)., • Ensure audit logging and encryption standards., • Develop automated and manual test plans for AI agents and content retrieval. Skills: • Expertise in AI/ML architecture and enterprise integration., • Strong knowledge of RAG (Retrieval-Augmented Generation) frameworks., • Familiarity with IAM, RBAC, and financial services compliance., • Experience with cloud platforms (AWS, Azure) and containerization., • Proficiency in Python, TensorFlow/PyTorch., • Experience with OpenAI/Cohere APIs and local embedding models., • Knowledge of NLP, semantic search, and multi-turn conversation design., • Familiarity with CI/CD for ML pipelines., • Strong backend development (Java, Python, Node.js)., • Experience with vector databases (OpenSearch, Pinecone, Weaviate)., • API development and integration with enterprise systems., • Knowledge of data security and compliance frameworks., • Expertise in SQL, data modeling, and ETL tools., • Familiarity with AWS Textract or OCR services., • Experience with financial data schemas and governance.

Job Title: Generative AI Software Engineer Location: Jersey City, NJ Duration: 09 months contract (Possible RTH) Pay Range: $(52.00 – 58.00)/hr on W2 all-inclusive without benefits Job Summary: We are seeking a highly skilled Generative AI Engineer with a strong background in Machine Learning, LLMs, and modern AI frameworks to design, build, and deploy intelligent systems and generative models. The ideal candidate will have experience developing end-to-end AI solutions, optimizing model performance, and integrating generative capabilities into production applications. This role will work closely with cross-functional teams including product, research, engineering, and data science. Key Responsibilities Design, develop, and deploy Generative AI models, including LLMs, diffusion models, transformers, and multimodal architectures. Build end-to-end AI/ML pipelines, including data ingestion, preprocessing, training, evaluation, and model deployment. Fine-tune large language models (LLMs) using domain-specific datasets, prompt engineering, and reinforcement learning techniques (RLHF preferred). Develop scalable backend systems to support inference, API integrations, and real-time generative workloads. Collaborate with cross-functional teams to translate business requirements into technical solutions. Conduct POCs and prototype development for new generative AI capabilities. Optimize model performance for speed, accuracy, latency, and compute efficiency. Implement best practices for model monitoring, observability, and drift detection. Work with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines. Ensure compliance with security, ethical AI, data privacy, and responsible AI principles. Stay up to date with emerging research in generative AI, ML, LLMs, and advanced model architectures. Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or related field. Min 6+ years of professional experience in software engineering, machine learning engineering, or AI development. Strong hands-on experience with Python, PyTorch, TensorFlow, JAX, or related ML frameworks. Proven experience building and deploying LLMs, GANs, diffusion models, or transformer-based architectures. Solid understanding of machine learning fundamentals, deep learning, NLP, and generative modeling. Experience with cloud platforms (AWS, Azure, or GCP) and scalable AI infrastructure (Kubernetes, Docker, serverless, distributed training). Proficiency in building RESTful APIs, microservices, and backend integrations. Strong knowledge of MLOps, CI/CD for ML, and model lifecycle management. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications: Familiarity with multimodal AI (vision + language models). Hands-on experience with OpenAI, Google Vertex AI, or Azure OpenAI ecosystems. Background in data engineering or building large-scale data pipelines. Contributions to open-source AI/ML projects.

We are looking for an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders through reports and dashboards to drive business decisions The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Responsibilities: • Extract, clean, and analyze large datasets from multiple sources., • Write complex SQL queries to retrieve, manipulate, and analyze data efficiently., • Develop and maintain dashboards and reports for business stakeholders., • Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis., • Collaborate with cross-functional teams to understand data requirements and provide actionable insights., • Ensure data integrity, consistency, and security across various databases., • Identify trends, anomalies, and opportunities in data to drive business decisions.

About the Role We are seeking a deeply technical Ansible Automation Platform (AAP) Engineer/Architect to design, implement, and optimize our enterprise-scale automation solutions within a modern, containerized infrastructure. This role focuses heavily on platform engineering, architecture, troubleshooting, and operational excellence, specifically within Red Hat's AAP environment. What You Will Do • Platform Management: Design, deploy, and manage AAP clusters within our OpenShift/Kubernetes ecosystem., • Architecture & Troubleshooting: Serve as the SME for AAP components (e.g., Execution Environments, Collections, Pod containers) and troubleshoot complex platform issues in the container layer., • DevOps & GitOps: Integrate AAP with enterprise systems for authentication (SAML endpoint) and establish robust GitOps workflows and $CI/CD$ pipelines., • Upgrades: Contribute to and lead version migration projects (knowledge of AAP 2.x upgrades is a major plus). Required Expertise • Deep Expertise in: Ansible Automation Platform (Tower/AWX)., • Hands-on Experience: Container orchestration, specifically Kubernetes or OpenShift., • Strong Scripting: Proficiency in Python for automation, platform management, and workflow integration.

Position: Lead Data Engineer Experience Required: 12 years+ Location: Jersey City, NJ Employment Type: Full-Time About the Role We are seeking a highly skilled Lead Data Engineer to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced environment. Key Responsibilities Leadership & Team Management • Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables., • Provide technical direction, coaching, and knowledge sharing to foster team growth and capability building., • Establish and enforce engineering best practices, coding standards, and reusable frameworks., • Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives., • Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms., • Drive development, code reviews, unit testing, and deployment to production environments., • Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions., • Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders., • Proactively identify project risks, dependencies, and issues; develop and execute mitigation plans., • Ensure governance, compliance, and alignment with organizational standards and methodologies. Must-Have Skills • 12+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects., • Strong expertise in Big Data concepts, distributed systems, and cloud-native architectures., • Proficiency in Snowflake, SQL, and a wide range of AWS services (Glue, EMR, S3, Aurora, RDS, Lambda, Step Functions)., • Hands-on experience with Python, PySpark, and building cloud-based microservices., • Strong problem-solving, analytical skills, and end-to-end ownership mindset., • Proven ability to work in Agile/Scrum environments with iterative delivery cycles., • Exceptional communication, leadership, and stakeholder management skills., • Demonstrated capability in leading onshore–offshore teams and coordinating multi-region delivery efforts. Good-to-Have Skills • Experience with DevOps tools (Jenkins, Git, GitHub/GitLab) and CI/CD pipeline implementation., • Experience with cloud migration and large-scale modernization projects., • Familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge, • Knowledge of Data Vault 2.0 and modern data modeling techniques. Educational Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field. For more information on benefits and what we offer please visit us at ___

Title: AWS Data Analyst Location: Newark, NJ (Hybrid 3 days onsite) Duration: 6+ Months (with extension) Rate: $50-51/hour on W2 Summary: The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Required: • Bachelor’s degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles, • Proficiency in SQL, Python, or Scala for data transformation and processing., • Working Knowledge of AWS services, • Proven experience in data analysis, business intelligence, or related roles., • Strong analytical and problem-solving skills with attention to detail., • Excellent communication skills, • Ability to work independently and collaboratively in a fast-paced environment. Key Responsibilities • Extract, clean, and analyze large datasets from multiple sources., • Write complex SQL queries to retrieve, manipulate, and analyze data efficiently., • Develop and maintain dashboards and reports for business stakeholders., • Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis., • Collaborate with cross-functional teams to understand data requirements and provide actionable insights., • Ensure data integrity, consistency, and security across various databases., • Identify trends, anomalies, and opportunities in data to drive business decisions.

Hi Applicants, It's a visa independent position Please note: (OPTEAD, CPT, H1B will not workable) Min 7-8 years exp · Expert level skills writing and optimizing complex SQL · Experience with complex data modelling, ETL design, and using large databases in a business environment · Experience with building data pipelines and applications to stream and process datasets at low latencies · Fluent with Big Data technologies like Spark, Kafka and Hive · Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required · Designing and building of data pipelines using API ingestion and Streaming ingestion methods · Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential · Experience in developing NO SQL solutions using Azure Cosmos DB is essential · Thorough understanding of Azure and AWS Cloud Infrastructure offerings · Working knowledge of Python is desirable · Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services · Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB · Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance · Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information · Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks · Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making. · Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards · Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging

Are you an experienced Linux systems engineer with expertise in NVMe-over-TCP, scripting, and storage performance? CMK Resources is looking for a RedHat NVMe/Linux Administrator to join our Residency team, working hands-on in high-performance storage environments and supporting critical Oracle infrastructure. This role is focused on performance tuning, scripting, automation logic, and deep system-level troubleshooting. Location: Jersey City, NJ (preferred) — also open to Wilmington, DE; Atlanta, GA; Omaha, NE; Fort Lauderdale, FL In-office availability: ideally 1–2 days/week in one of the above locations Responsibilities • Configure and validate NVMe-over-TCP storage paths and multipath configurations, • Automate discovery, validation, and setup using Bash/Python scripting, • Tune NICs, queues, schedulers, and other kernel parameters for high-speed IO, • Build and maintain Bash and Python utilities for storage operations, tuning, and testing, • Integrate your scripts into Ansible playbooks for broader automation workflows, • Support Oracle-related server builds and pre-deployment logic, • Provide real-time troubleshooting during Dev, QA, and Production rollout windows, • Conduct baseline vs post-migration performance comparisons, • Use tools like fio, perf, sar, and iostat to isolate IO or latency issues, • Support ServiceNow ticketing workflows and participate in root cause analysis, • Work directly inside the end client’s Azure DevOps boards, • Align with their internal storage and automation framework, • Collaborate with SAN and Oracle teams during patching, triage, and rollout events Must-Have Skills: • NVMe-over-TCP: tuning, path validation, CLI, performance optimization, • Linux (RHEL 7/8): filesystem management, sysctl/kernel tuning, systemd, networking, • Storage Stack: XFS, ext4, LVM, multipath, udev rules, I/O profiling, • Scripting: strong Bash, moderate-to-strong Python and Ansible, • Tooling: Azure DevOps, ServiceNow API workflows, Git branching, and PRs Nice-to-Haves: • Familiarity with Oracle RAC/ASM and their storage dependencies, • Experience with performance tuning on large-scale storage infrastructure, • Exposure to Pure Storage, though not required

Job Title: Quantitative Analyst / Specialist Location: Jersey City, NJ (Hybrid) Employment Type: Contract (with potential for extension based on performance) Overview: We are seeking an experienced and analytical Quantitative Analyst / Specialist to join our team. The ideal candidate will have a strong background in financial market risk management, quantitative modeling, and statistical analysis. This role involves developing, testing, and enhancing risk models, particularly in the areas of equities and ETF products, and collaborating with multiple stakeholders to ensure the accuracy and efficiency of modeling methodologies. Key Responsibilities: • Research, design, and prototype quantitative risk models, with a focus on equities and crypto-related ETFs., • Enhance and extend the existing Hybrid Value-at-Risk (VaR) framework as a benchmark for current methodologies., • Support stress testing, performance monitoring, and ongoing validation of financial models., • Maintain, document, and update model specifications and methodologies to ensure regulatory and operational compliance., • Collaborate closely with stakeholders such as Market Risk, Risk Technology, and other analytical teams to align model design with business and regulatory needs., • Analyze market data, trading exposures, and portfolio performance to identify and communicate key risk drivers., • Contribute to ongoing process improvements and best practices for model governance and performance tracking. Qualifications: • Minimum 5 years of experience in financial market risk management, quantitative analysis, or model development., • Master’s degree in a quantitative discipline such as Finance, Economics, Mathematics, Statistics, Engineering, or a related field., • Proficiency in SQL and at least one high-level programming language (Python, R, or MATLAB preferred)., • Proven experience building and implementing complex financial or statistical models., • Strong knowledge of equities, ETFs, and related market products., • Excellent analytical, problem-solving, and communication skills., • Highly detail-oriented, collaborative, and able to work effectively in a team-based environment. Preferred Skills: • Experience with Value-at-Risk (VaR), stress testing, or model validation frameworks., • Familiarity with regulatory risk frameworks and market data analysis tools., • Ability to translate technical findings into actionable insights for business and risk management teams.

Lead DevOps Engineer (Jenkins) Location: Charlotte, NC or Jersey City, NJ Employment Type: Full-Time, Direct Hire This is not a contract role and is not available for third-party agencies or contractors. About the Role We are seeking a hands-on Lead DevOps Engineer to drive the development of a next-generation enterprise pipeline infrastructure. This role is ideal for a technical leader with deep experience building scalable Jenkins environments, defining CI/CD strategy, and promoting DevOps best practices across large organizations. If you thrive in fast-paced, highly collaborative environments and enjoy solving complex engineering challenges, this is an excellent opportunity. What You’ll Do • Lead the design and implementation of a unified enterprise pipeline framework using Jenkins, Octopus Deploy, and related CI/CD tools., • Build, optimize, and maintain a highly scalable Jenkins platform supporting multiple concurrent teams and workloads., • Evaluate emerging CI/CD technologies and lead enterprise-wide adoption initiatives., • Manage and mentor a team of developers and DevOps engineers; foster a culture of operational excellence., • Collaborate with cross-functional stakeholders to gather requirements, align strategy, and advance DevOps maturity., • Enforce Infrastructure-as-Code practices with proper governance, compliance, and audit controls., • Implement monitoring, alerting, and automation to ensure strong operational performance., • Lead incident response efforts; drive root-cause analysis and long-term remediation., • Identify bottlenecks and drive end-to-end automation to improve deployment speed and reliability. What You Bring • Strong expertise with Jenkins, Octopus Deploy, and modern CI/CD ecosystems., • Hands-on experience with AWS or Azure, Docker, Kubernetes, Terraform, and IaC principles., • Strong programming skills (Python, Node.js) and solid Git fundamentals., • 3+ years of experience leading technical teams and delivering complex solutions., • Experience with Software-Defined Networks, VPCs, cloud networking, and infrastructure automation., • Familiarity with DevOps methodologies and ITIL best practices., • Proactive, collaborative, and driven by innovation.

Role: Senior Python Developer Location: Jersey City, NJ (Hybrid) Hire Type: Fulltime Job description Involves designing, developing, and maintaining software, with a strong focus on data pipelines and financial systems. Key responsibilities include writing clean Python code, building and optimizing ETL processes, and collaborating with teams to create and enhance scalable, secure solutions that meet business needs. This role requires strong skills in Python, SQL, and a background in enterprise-level platforms and data-driven solutions. Key skills: Proficiency in Python Experience with SQL Knowledge of ETL development Familiarity with databases (e.g., Microsoft SQL Server, PostgreSQL, MongoDB) Understanding of enterprise-level platforms Experience with agile development methodologies Strong problem-solving and analytical skills Experience with big data technologies (e.g., Hadoop, PySpark) is a plus.

Hello Our Client one of the leading Bank is looking to hire for the following role . Please share resume if interested Title - Senior Python Developer Duration - Long term - 2 days onsite (Hybrid) Location - Rutherford NJ We cannot do 3rd party contracting for this role . W2 role with Iris software Design, develop, and maintain robust Python applications, APIs, and backend services using modern frameworks. • Demonstrated ability to participate in a global software engineering team while working closely with product management, quality assurance and business analysts., • Hands on experience developing with Python and frameworks such as Flask, Django, Gunicorn, • Development experience with AWS, • Experience working with SQL technologies such as PostgreSQL, Oracle or equivalent About Iris Software Inc. With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Job Description: Neo4j Graph Ontology Specialist We are seeking a highly skilled Neo4j Graph Ontology Specialist to join our team. This role focuses on building and managing graph-based ontologies to model complex relationships between skills, roles, and individuals. The successful candidate will be responsible for leveraging Neo4j to define, design, and optimize a graph-based ontology structure, facilitating a deeper understanding of skills and roles within our organization or clients. Key Responsibilities: • Graph Ontology Modeling: Design and develop an ontology that represents key skills, roles, and people as nodes, with relationships that define how they interact (e.g., "HAS_SKILL", "REQUIRES_SKILL", "WORKS_ON")., • Cypher Querying: Write and optimize queries in Cypher, Neo4j's query language, to retrieve insights from the graph and identify patterns or relationships., • Data Integration: Use Python or other integration tools to ingest data, build the graph structure, and link Neo4j with other systems or platforms., • Graph Optimization: Profile Cypher queries to identify performance bottlenecks and optimize them for faster execution., • Cypher: Expertise in Neo4j’s native query language, Cypher, is essential for navigating and querying the graph., • Graph Data Modeling: Ability to model complex, interconnected data in Neo4j's graph database using node labels (e.g., Person, Skill, JobRole) and relationship types (e.g., HAS_SKILL, REQUIRES_SKILL)., • Ontology Design: Proven experience in designing and implementing domain-specific ontologies that structure data effectively and maintain consistency across the graph., • Query Profiling and Optimization: Proficiency in profiling Cypher queries and optimizing graph performance using tools like PROFILE and EXPLAIN., • Skill Ontology Engineering: Experience in creating and maintaining dynamic skill ontologies, with an emphasis on representing relationships between skills, roles, and job requirements., • Knowledge Graph Construction: Expertise in constructing comprehensive knowledge graphs from raw data, guided by well-defined ontologies., • Graph Algorithms: Ability to apply graph algorithms (e.g., shortest path, community detection) to uncover deeper insights and correlations within skill and role data., • AI/ML Integration: Experience in leveraging graph-based ontologies to train AI/ML models for applications such as resume screening, job matching, and skills gap analysis., • Data Governance & Security: Knowledge of applying ontology reasoning and enforcing security rules within the graph database to ensure compliance and integrity. Desired Qualifications: • Proven experience with Neo4j, including both graph modeling and performance optimization., • Familiarity with machine learning algorithms or AI applications in talent management or similar domains is a plus., • Strong problem-solving skills with an ability to analyze complex data sets and extract actionable insights., • Familiarity with industry standards in data governance, security, and compliance, especially in graph-based databases.

Job Title: Senior Oracle Database Developer - W2 only - We can provide sponsorship as well Duration: Long Term Location: Jersey City, NJ - Hybrid - 2 weeks in a month onsite - Local preferred They are going to need strong Oracle DB developers, to help out with this work, and someone who can read SQL or understand SQL (not code) because Geneva is written in SQL. Years of Exp: 10+, senior resource, need someone who can hit the ground running, no hand holding and is a team player. Must Have: we need a Senior Level Oracle Database Developer, that is the number one skillset. They will also want someone who has SQL skills as mentioned above, don't need the ability to code in SQL, and query work. Would like some Python and Shell Scripting. 10+ years of hands on experience as a database developer in Oracle • Strong data analysis, design, and coding skills, • Strong RDBMS skills – SQL querying, writing stored procedures, triggers, functions, pipeline functions, views, table partitioning, • Knows how to restrict access through roles, user privileges and object privileges, • Has done performance tuning of stored procedures and queries., • Has used SQL Loader to load large files., • Has used SQL Plus command., • Knowledge of Oracle AQ messaging., • Has developed Python scripts for data handling., • Comfortable working on Linux servers and writing shell programs., • Experience working with team in Agile methodology, • AWS Cloud experience is a plus, • 5+ years work experience in financial industry preferably in Capital markets/Prime brokerage., • Understand glossaries and terminologies in financial industry, • Knowledge of accounting concepts is nice to have., • Prime Brokerage application development experience is a plus., • Ability to work independently and collaborate with teams., • Good communication skill to both technology folks and business partners., • Quick learner, adaptable, has the right attitude to work across teams to find and deploy solutions., • Committed to timely and quality deliverables., • Team player

Project description For the world most global bank we are building the platform, which supports various information gathering and processing across the organization and providing access to this data through both private and public cloud. The solution is built from the scratch using the latest technologies. Responsibilities • Write good and well-tested code using Java / Python, • Write Test Cases and User/Support Documentation of your code, • Development environment support (mostly automation using Jenkins CI, Bash), • Evaluate and adopt new development tools, libraries and methods to improve quality, • Perform peer code review of project codebase changes Skills Must have • Java, Expertise in object-oriented programming is a must., • Python (3.x): Intermediate proficiency at least., • Proficiency in designing and consuming RESTful APIs (HTTP methods, status codes, idempotency)., • Expertise with JSON serialization/deserialization (e.g., Jackson or Gson in Java)., • Handling authentication (OAuth 2.0, JWT) Nice to have • MCP's REST endpoints, JSON schemas, • Understanding of context management in AI is a plus (e.g., session state, conversation history, or intent tracking)., • Experience integrating with AI APIs (for example Gemini's REST endpoints for text generation or embeddings), handling AI-specific nuances (e.g., prompt engineering, rate limits, error handling for ambiguous outputs), • Familiarity with Python-based REST frameworks (e.g., FastAPI, Flask), • Experience with implementing retry mechanisms, circuit breakers (e.g., Resilience4j), • Spring Boot

About The Role The Sr. Security Researcher is responsible for leading and executing offensive security assessments (red teaming) against the organization's systems and networks. This role will leverage advanced penetration testing, social engineering, and other offensive security techniques to identify and exploit vulnerabilities, simulate real-world threats, and enhance the organization's overall security posture. Responsibilities • Lead and execute red team engagements:, • Develop and execute comprehensive red team assessments, including reconnaissance, vulnerability scanning, exploitation, and post-exploitation activities., • Lead and mentor junior red team members, providing guidance, training, and hands-on experience., • Develop and maintain red team methodologies, tools, and infrastructure., • Conduct threat modeling and risk assessments to identify potential attack vectors and prioritize targets., • Develop and execute social engineering campaigns, including phishing, vishing, and physical penetration tests., • Vulnerability research and exploitation:, • Stay abreast of the latest threat intelligence, vulnerabilities, and exploits., • Research and develop new exploitation techniques and tools., • Conduct in-depth analysis of vulnerabilities and their potential impact., • Reporting and communication:, • Prepare detailed and concise reports documenting red team findings, including technical details, impact assessments, and remediation recommendations., • Effectively communicate findings to technical and non-technical audiences, including senior management., • Present findings and recommendations at security forums and conferences (optional)., • Security awareness and training:, • Develop and deliver security awareness training programs to employees on topics such as social engineering, phishing, and secure coding practices., • Conduct security awareness campaigns to raise employee awareness of security threats and best practices., • Collaboration:, • Collaborate with other security teams (e.g., blue team, incident response) to improve overall security posture., • Work with development teams to identify and remediate security vulnerabilities in applications and systems., • Build and maintain relationships with external security researchers and the cybersecurity community. Skills and Qualifications • Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience)., • 5+ years of experience in cybersecurity, with 3+ years of hands-on experience in penetration testing, red teaming., • Understanding of blended attacks., • Proven experience leading and mentoring junior security professionals., • Strong understanding of networking, systems administration, and programming concepts., • Expertise in penetration testing methodologies and tools (e.g., Cobalt Strike, Outflank, Sliver, PowerShell Empire, Metasploit, Kali Linux, Nmap)., • Proficiency in scripting languages (e.g., Python, Ruby, PowerShell)., • Strong understanding of network protocols (e.g., TCP/IP, HTTP, DNS)., • Experience with vulnerability scanners, intrusion detection systems, and firewalls., • Experience with cloud security (e.g., AWS, Azure, GCP) is a plus., • Relevant security certifications (e.g., RTO I, RTO II, OSCP, OSCE, GPEN, CRTP) are highly desired., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills., • Ability to work independently and as part of a team., • Strong attention to detail and accuracy., • Ability to adapt to new technologies and challenges., • Project Management.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a skilled Tableau Developer to design, develop, and maintain engaging and insightful dashboards and reports. The ideal candidate will work closely with business stakeholders to translate data into meaningful visualizations that support data-driven decision-making and provide actionable insights. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Rutherford, NJ is $115k - $125k/year & benefits (see below). The Role Responsibilities: • Develop, implement, and optimize Tableau dashboards and reports to meet business requirements., • Collaborate with stakeholders to gather and understand reporting needs and translate them into effective visualizations., • Connect Tableau with various data sources, including databases, cloud services, and spreadsheets., • Perform data analysis, validation, and cleansing to ensure accurate reporting., • Optimize and tune Tableau workbooks for performance and usability., • Maintain and update existing dashboards to reflect changing business needs., • Document data flows, calculations, and dashboard functionalities., • Train end-users on utilizing dashboards and interpreting data insights., • Troubleshoot and resolve issues related to Tableau reports and data discrepancies., • Stay updated on Tableau features and best practices to enhance reporting capabilities. Requirements: • Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field., • 12+ Years experience as a Tableau Developer or similar role., • Strong proficiency in Tableau Desktop, Tableau Server/Online, and Tableau Prep., • Solid understanding of SQL and experience connecting Tableau to various data sources., • Knowledge of data warehousing concepts and data modeling., • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and collaboratively in a fast-paced environment., • Attention to detail and commitment to data accuracy., • Good communication and teamwork abilities., • Experience with scripting languages like Python or R., • Familiarity with other BI tools such as Power BI or Looker., • Knowledge of database systems such as SQL Server, Oracle, or Snowflake., • Understanding of data governance, security, and compliance. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 21 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Akkodis is seeking a Sr Python Developer in Jersey City, NJ hybrid contract opportunity for a leading client. Pay range: $65-67/hr About the Role Senior developer that will be responsible for developing, enhancing, modifying and/or maintaining application used for Independent Price Verification process for the Global Markets business. Responsibilities • Responsible for developing object-orientated software in Python, object-oriented database, and grid computing using proprietary Quartz platform., • Responsible for developing data transfer tools to replicate data from no-sql datastore to an Oracle (Exadata) database., • Responsible for building REST web services., • Responsible for designing interface between UI and REST service., • Responsible for building data-grid centric UI based on Angular framework., • Participating fully in the development process through the entire software lifecycle., • Minimum 6-10 years of overall technology experience is required., • Minimum 6-10 years of designing and developing in an object-oriented environment with any OO language is required. (i.e. Java, C++, C#, etc.), • 3-5 years Python experience., • We prefer people with experience across a range of languages and technologies, especially C++/Java and Python., • 6-10 years designing and tuning SQL database tables/queries is required., • Experience with git, npm, Angular (15.x or later) a plus., • Experience with grid computing and high data volume., • Experience doing test-driven development, functional testing and continuous integration is desirable., • Strong written and verbal communications., • Experience and desire to work in an Agile process (pair programming, daily stand-ups, etc.)., • Demonstrable knowledge of problem domain in which they have been working., • Strong communication skills., • Passion to learn new technology., • Valuation Control, • Python, • Database, • OOP, • Oracle, • SQL, • Experience across a range of languages and technologies, especially C++/Java and Python., • Experience with git, npm, Angular (15.x or later)., • Experience with grid computing and high data volume., • Experience doing test-driven development, functional testing and continuous integration. Equal Opportunity Employer/Veterans/Disabled. The Company will consider qualified applicants with arrest and conviction records. Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ___. If you are interested in this contract opportunity then please click ___. If you have questions about the position, please contact Hema at .

Title: AI/ML Engineer (Level 4) Location: Newark, NJ Hybrid – 3 days onsite Duration: 12 months only w2 can apply Job Description Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. Key Responsibilities: • Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings., • Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations., • Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation)., • DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency., • Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance., • Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads., • Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems., • Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently., • Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred, • At least five plus years' experience as a machine learning engineer, deploying models in production, • Strong proficiency in Python and software engineering principles., • Solid understanding of machine learning fundamentals and model lifecycle management., • Experience with cloud platforms, containerization, and infrastructure management., • Familiarity with DevOps practices and automation tools., • Expertise in GenAI frameworks, prompt engineering, and model serving., • Ability to manage GPU/TPU resources and optimize model serving frameworks., • Experience in developing agentic systems and multi-agent architectures., • Proven track record in cost optimization in AI deployments., • Experience working in fast paced environment and independent worker Thanks and Regards💕 Nikhil Technical Recruiter Email : Web: ___ 101, E, Park Blvd.-Suite 600, Plano, TX 75074, USA Destiny hears – When you speak louder Note: SibiTalent Corp. is an equal opportunity staffing firm. We do not discriminate on the basis of race, caste, color, religion, gender, culture, visa status, or any other protected characteristic. All hiring decisions are made strictly based on qualifications, experience, and specific client requirements.

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US. Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment. About the Role: The Solution Architect will define technical architecture for payments and wire-processing platforms supporting our investment banking client’s high-priority initiatives (e.g., US Wires expansion, Payments modernization). This role partners with technology leads, engineers, and product owners to define end-to-end designs ensuring scalability, compliance, resiliency, and alignment with enterprise standards. You must have valid US work authorization and must physically reside around the posted city, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: • Develop architectural blueprints and integration patterns for payments/wires platforms., • Define target-state architectures across Python, Java, .NET, Oracle, and Hadoop/Informatica ecosystems., • Evaluate vendor and cloud solutions; ensure alignment with bank-wide technology principles., • Review application designs for security, performance, observability, and operational readiness., • Guide engineering teams through implementation phases and ensure standards compliance., • Promote reuse, modular design, and modernization of legacy systems. Required Skills: • 3–10+ years firsthand experience in Python, Java, .NET, Oracle, and Hadoop/Informatica ecosystems., • Strong architecture background across distributed, mission-critical systems., • Experience designing large-scale financial applications, ideally in payments or money movement., • Expertise across at least two major stacks (Python, Java, .NET)., • Strong understanding of integration patterns, APIs, authentication/authorization., • Ability to simplify complex systems and communicate architectural decisions clearly. Preferred Skills: • Knowledge of wire protocols (ISO20022, SWIFT MT, Fedwire, CHIPS)., • Cloud exposure (Azure/AWS), containerization (Kubernetes)., • Experience with data pipelines (Hadoop, Informatica). The base salary range for this role is $125,000 - $175,000 Benefits: • Choice of medical, dental, vision insurance., • Voluntary benefits., • Short- and long-term disability., • HSA and FSAs., • Matching 401k., • Discretionary performance bonus., • Employee referral bonus., • Employee assistance program., • 11 public holidays., • 20 days PTO., • 7 Sick Days., • PTO buy and sell program., • Volunteer days., • Paid parental leave., • Remote/hybrid work environment support. For more information about BIP US, visit ___. Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Do you specialize in Linux automation with Ansible and Python? CMK Resources is seeking a RedHat / Ansible / Python Automation Developer to join our Resident team supporting critical platform migrations and lifecycle automation for the end client. You'll be building and maintaining automation frameworks across the entire RHEL estate — including key RHEL 7 to 8 migration efforts — while integrating with tools like Azure DevOps and ServiceNow. This is a hands-on developer role — you’ll work fully embedded within the client’s automation engineering teams. Location: Jersey City, NJ (preferred) — also open to Wilmington, DE; Atlanta, GA; Omaha, NE; Fort Lauderdale, FL In-office availability: ideally 1–2 days/week in one of the above locations Responsibilities • Build Ansible playbooks and roles for patching, kernel upgrades, CIS hardening, and post-migration validation., • Write Python utilities and modules for orchestration, validation, and troubleshooting., • Manage AAP workflows, job templates, inventories, and secrets., • Work in Agile sprints using Azure DevOps for backlog and pipeline tracking., • Support test and pre-prod phases with hands-on troubleshooting and script validation., • Participate in production rollouts and real-time troubleshooting of automation jobs., • Connect automation workflows with ServiceNow via REST API for pre-checks, approvals, and validations., • Collaborate with the end client’s internal teams to align with existing automation frameworks and standards., • Document automation logic, module usage, and internal patterns. Must-Have Skills: • Ansible / Ansible Automation Platform (AAP): playbooks, Jinja2, filters, vault, roles, collections, Tower/AAP usage, • Python Development: module creation, utilities, wrappers, orchestration logic, automation tools, • Linux (RHEL 7/8): patching, subscriptions, firewalls, SELinux, kernel upgrades, systemd, • ServiceNow Integration: via REST APIs for automation approval chains, • Azure DevOps: pipelines, pull requests, artifacts, Git repo workflows Nice-to-Haves: • Experience automating large RHEL migrations, • Awareness of Pure Storage APIs or SDKs (optional), • Basic container knowledge (e.g., Podman, Docker), • Understanding of FinTech-grade compliance and security

Grow your career as a DevOps Engineer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week. Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you. Contract Duration: 12+ Months Required Skills & Experience • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • 10+ years of experience in a DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering role., • Proven expertise with at least one major cloud provider (e.g., AWS, Azure, GCP), including services like compute, networking, storage, and databases, specifically within a Linux environment., • Proficiency in scripting and programming languages (e.g., Java, Bash, SQL, Python) for automation and tool development., • Extensive experience with CI/CD tools (e.g., Jenkins, Tekton, TeamCity)., • Solid understanding and hands-on experience with containerization technologies (Docker) and orchestration platforms (Kubernetes, OpenShift)., • Experience with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog)., • Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible., • Strong understanding of Linux operating systems and networking fundamentals., • Experience with Oracle databases., • Excellent communication and collaboration skills. Desired Skills & Experience • Relevant professional certifications (e.g., AWS Certified DevOps Engineer, Kubernetes Administrator, Oracle Certified Professional)., • Experience with microservices architectures and serverless computing., • Knowledge of security best practices, compliance frameworks (e.g., ISO 27001, SOC 2), and security tools. What You Will Be Doing • Design, implement, and manage highly available, scalable, and secure cloud infrastructure, including Virtual Machines, OpenShift, and Kubernetes., • Develop, maintain, and optimize CI/CD pipelines to enable rapid and reliable software deployment., • Conduct and participate in Disaster Recovery Testing to ensure system resiliency and business continuity., • Implement and manage Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible for automated provisioning and configuration., • Monitor system performance, troubleshoot complex issues, and ensure proactive incident resolution across our environments., • Automate operational tasks, build tools, and improve processes to enhance efficiency and reduce manual effort., • Collaborate closely with development teams to integrate DevOps practices, promote best practices, and improve system reliability and performance., • Implement and enforce security best practices and compliance standards within the infrastructure and operational workflows., • Participate in an on-call rotation to support critical production systems and respond to incidents.

Mastech Digital Inc. (NYSE: MHH) is a minority-owned, publicly traded IT staffing and digital transformation services company. Headquartered in Pittsburgh, PA, and established in 1986, we serve clients nationwide through 11 U.S. offices. Role: Data Engineer Location: Merrimack, NH/Smithfield, RI/Jersey City, NJ Duration: Full-Time/W2 • Job Description: Heavy SQL for data analysis, validation and querying AWS and the ability to move the data through the data stages and into their target databases. The Postgres database is the target, so that is required. Nice to haves: • Snowflake, • Java for API development is a nice to have (will teach this), • Experience in asset management for domain knowledge., • Production support debugging and processing of vendor data The Expertise and Skills You Bring • A proven foundation in data engineering – bachelor’s degree + preferred, 10+ years’ experience, • Extensive experience with ETL technologies, • Design and develop ETL reporting and analytics solutions., • Knowledge of Data Warehousing methodologies and concepts – preferred, • Advanced data manipulation languages and frameworks (JAVA, PYTHON, JSON) – required, • RMDS experience (Snowflake, PostgreSQL ) – required, • Knowledge of Cloud platforms and Services (AWS – IAM, EC2, S3, Lambda, RDS ) – required, • Designing and developing low to moderate complex data integration solution – required, • Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) will be preferred, • Expert in SQL and Stored Procedures on any Relational databases, • Good in debugging, analyzing and Production Support, • Application Development based on JIRA stories (Agile environment), • Demonstrable experience with ETL tools (Informatica, Snaplogic), • Experience in working with Python in an AWS environment, • Create, update, and maintain technical documentation for software-based projects and products., • Solving production issues., • Interact effectively with business partners to understand business requirements and assist in generation of technical requirements., • Participate in architecture, technical design, and product implementation discussions., • Working Knowledge of Unix/Linux operating systems and shell scripting, • Experience with developing sophisticated Continuous Integration & Continuous Delivery (CI/CD) pipeline including software configuration management, test automation, version control, static code analysis., • Excellent interpersonal and communication skills, • Ability to work with global Agile teams, • Proven ability to deal with ambiguity and work in fast paced environment, • Ability to mentor junior data engineers. The Value You Deliver • The associate would help the team in designing and building a best-in-class data solutions using very diversified tech stack., • Strong experience of working in large teams and proven technical leadership capabilities, • Knowledge of enterprise-level implementations like data warehouses and automated solutions., • Ability to negotiate, influence and work with business peers and management., • Ability to develop and drive a strategy as per the needs of the team Good to have: Full-Stack Programming knowledge, hands-on test case/plan preparation within Jira