Workflow Engineering

Workflow Engineering Jobs

3 jobs found

5d ago

Senior Software Engineer II

New York Genome Center New York, NY

New York, NY

5d ago

$155k - $182k/yr Full time Senior API APIs

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Job Description

The Senior Software Engineer II (SSEII) at the New York Genome Center is a senior individual contributor who guides software efforts from planning through delivery and ongoing support. The role applies technical judgment to build durable systems that improve products, integrations, maintenance, and operational processes supporting genomic testing workflows.

Key Responsibilities

Lead cross-functional projects from requirements clarification and scope definition through release and production support, managing technical and operational tradeoffs, dependencies, and delivery planning.
Design, develop, test, deploy, document, and maintain production-quality software, integrations, APIs, data-processing services, and operational tooling.
Develop and improve software supporting genomic testing from sample accessioning through laboratory and sequencing workflows, computational analysis, clinical reporting, and secure genomic-data exchange, partnering with teams who use these systems daily.
Collaborate with scientific, clinical, and operational stakeholders to clarify needs, define requirements, and write specifications; translate requirements into technical designs, implementation plans, and maintainable software solutions.
Contribute to product requirements and technical direction, improving recurring workflows and practices across related products and systems.
Partner with Computational Biology, Clinical Bioinformatics, Sequencing Operations, Project Management, Research Computing, and other stakeholders to deliver reliable, responsive services.
Apply approved engineering practices including version control, code review, automated testing, release management, documentation, observability, data protection, and secure handling of sensitive information.
Analyze technical and operational challenges across related products and systems, evaluate alternatives, and propose practical, cost-effective solutions.
Mentor engineers through design discussions, code reviews, and knowledge sharing to strengthen shared practices and support reliable delivery.
Communicate progress, risks, decisions, and delivery expectations clearly, seeking relevant expertise and contributing constructively to shared outcomes.
Use approved AI-enabled tools when appropriate for software development, testing, documentation, and troubleshooting, validating outputs for accuracy, security, privacy, and compliance with NYGC policies before relying on them.

Required Qualifications

Bachelor’s degree in Computer Science with 9+ years of relevant software engineering experience, or a Master’s degree in Computer Science with 7+ years of relevant software engineering experience.
Demonstrated ability to lead multi-stakeholder software projects from needs definition and planning through delivery and support, managing scope, dependencies, and changing constraints.
Demonstrated ability to apply technical judgment across multiple related areas and systems, identify cross-system issues, evaluate alternatives, and guide practical solutions.
Proficiency in one or more modern programming languages and object-oriented design, with experience building extensible, well-tested, maintainable software.
Experience with version control, code review, automated testing, technical documentation, and collaborative software development practices.
Experience designing or integrating APIs, databases or other data systems, and production services or workflows.
Strong written and verbal communication skills, including the ability to work effectively with scientific, technical, and operational stakeholders.
Ability to learn new scientific and technical domains quickly and work effectively independently and as part of a small, collaborative team.

Technology Environment

Cloud and infrastructure: Google Cloud Platform (GCP), Amazon Web Services (AWS), Docker, Kubernetes, Cloud Run, infrastructure as code
Workflow and orchestration: Nextflow, Snakemake, Workflow Description Language (WDL), Cromwell, Slurm, LSF, Grid Engine
Data and messaging: Kafka, Pub/Sub, PostgreSQL
Development and security: Python, GraphQL, CI/CD pipelines, event-driven architectures, version control, code review, automated testing, release management, observability, data protection
Container and scientific workflow support: Apptainer/Singularity
Compliance and regulated data: HIPAA, NIST Special Publication (SP) 800-171
AI-enabled development tools

Benefits

Medical/Dental/Vision
Vacation, Holidays, Sick, and Other Leave, including a paid winter break
401(k) match
Life Insurance
Flexible Spending Accounts
Employee Tuition Reimbursement
Employee Assistance Program
Generous time off

Preferred Qualifications

Experience supporting scientific, clinical, bioinformatics, or other data-intensive software applications, including analysis workflows, data repositories, laboratory information systems, enterprise integrations, and large-scale data movement.
Experience with cloud platforms such as GCP or AWS; infrastructure as code; CI/CD pipelines; containerized services including Docker, Apptainer/Singularity, Kubernetes, or Cloud Run; and workflow systems such as Nextflow, Snakemake, or WDL with Cromwell or similar engines.
Experience with cluster job schedulers such as Slurm, LSF, or Grid Engine, or cloud batch services; plus Python, PostgreSQL, and other data stores.
Experience applying security and privacy practices to sensitive or regulated data, including familiarity with HIPAA and NIST SP 800-171, and supporting audit-ready operational processes.
Experience with genomics, computational biology, clinical bioinformatics, or high-throughput computing environments.
Experience using AI-enabled development tools or integrating AI capabilities into software workflows, including evaluating output quality, applying data-classification requirements, and protecting against inappropriate disclosure of data.

Competencies

Technical and Professional Skills: Strong judgment, integrity, discipline, and reliability; prioritizes work appropriately, manages expectations, and delivers on commitments.
Collaborative & Communicative: Builds strong relationships across functions; communicates clearly and thoughtfully; listens carefully; fosters collaboration and trust.
Adaptable & Innovative: Embraces change, anticipates challenges, develops practical solutions, and continuously seeks opportunities to improve organizational effectiveness.

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1mo ago

Data Engineer – Manufacturing Quality & Automation

OMG Technology Raleigh, NC

Raleigh, NC

1mo ago Closed

$50 - $55/hr Contract Analytics Automation Automation Developer

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Data Engineer position supporting manufacturing quality assurance, process automation, and BI for a pharmaceutical industry client.

Contract role in Raleigh, NC (onsite)
Pay: USD 50–55/hour (W2 $50; C2C $55)
Experience: 5+ years
Interviews: video interviews
Docs: ID proof required

Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Integrate data from manufacturing systems including MES, ERP, quality systems, IoT devices, and enterprise applications
Develop and maintain data models, data warehouses, and lakehouse architectures
Ensure data quality, accuracy, governance, and security across data assets
Optimize processing workflows for performance and reliability
Analyze manufacturing and quality data to surface trends, defects, and process improvement opportunities
Support quality initiatives with data validation, root cause analysis, and KPI tracking
Build manufacturing quality metrics and reporting frameworks
Partner with QA teams to implement automated monitoring and data quality checks
Design and develop RPA solutions using UiPath or Microsoft Power Automate
Automate manual business and quality processes to improve productivity and reduce errors
Connect automation workflows with ERP, quality systems, SharePoint, Teams, and other enterprise applications
Monitor and improve automation performance and reliability
Create Power BI dashboards, scorecards, and reports for manufacturing and quality stakeholders
Develop semantic models, DAX calculations, KPIs, and drill-down analytics
Enable self-service reporting and business insights
Optimize report performance and governance

Requirements

5+ years of experience in Data Engineering, Manufacturing Analytics, Quality Systems, or Automation
Hands-on experience in a Manufacturing / Production environment
Strong understanding of Manufacturing Quality / QA processes, including CAPA and process validation
Expertise in SQL and relational databases
Experience with ETL/ELT tools and data integration frameworks
Hands-on experience with Power BI, DAX, Power Query, and data visualization
Experience with UiPath and/or Microsoft Power Automate
Knowledge of Supply Chain processes
Experience with ERP systems such as SAP, Oracle, or similar platforms
Programming experience in Python, PySpark, or similar technologies
Experience with data validation, data quality, governance, and testing
Ability to work 5 days onsite in Greenville, NC

Technologies

UiPath
Microsoft Power Automate
Power BI
DAX
Power Query
SQL
ETL/ELT
RPA
Python
PySpark
MES
ERP
IoT devices
SharePoint
Teams
SAP
Oracle

Role Summary

Work across Manufacturing Operations, Quality Engineering, Business Analysts, and IT teams
Improve product quality, operational efficiency, and data-driven decision-making

Onsite location: Greenville, NC
Availability: candidates able to join immediately are preferred

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2mo ago

Staff AI Engineer

David Joseph & Company New York, NY

New York, NY

2mo ago Closed

$200k - $250k/yr Full time Python Agent Orchestration Agentic Systems

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

David Joseph & Company is building an AI operating system for a CFO office, with the platform layer acting as the foundation for agent frameworks and the systems that keep them reliable in production. This Staff AI Engineer role focuses on owning those engineering-wide foundations, from orchestration and verification to observability and data infrastructure, enabling multiple pods to move faster on shared capabilities.

Role focus

Own the platform layer every engineering pod builds on, spanning agent frameworks, context systems, orchestration, verification, observability, and data infrastructure.
Actively identify bottlenecks that slow the company down, rather than waiting for specs from a PM or relying on an architecture committee.

Requirements

2+ years of agentic-AI work with a research-oriented background.
8+ years of software engineering, with distributed-systems or strong platform depth.
Platform-layer experience that multiplied output across engineering teams.
Early-stage startup experience (pre-seed to Series B).
On-site in NYC on startup hours.

Technologies and tools

Python (primary)
Agent frameworks
Distributed systems
Workflow and transactional engines
Data infrastructure
Claude and Cursor (fluent AI-coding-agent use valued)

Nice to have

Deep agentic-AI experience with architectural ownership.
A research-oriented ML or NLP background applied to production systems.
Prior Staff or Principal IC experience at a high-growth startup.
Domain background in finance, ERP, audit, or compliance.

Location, work policy, and compensation

Location: New York City, NY (onsite)
Work policy: On-site, 6 days/week (startup hours)
Compensation: $200,000–$250,000 per year + 0.1%–0.35% equity
Visa sponsorship: Not available
Employment type: Full-time

Minimum experience: 2 years.

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Workflow Engineering Jobs

Senior Software Engineer II

Data Engineer – Manufacturing Quality & Automation

Staff AI Engineer

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