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Software Engineer Lead

PNC Financial Services Group Pittsburgh, PA 📍 Pennsylvania Remote

Pittsburgh, PA

Today

Full time Developer Engineering Software Development

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Job Description

Software Engineer Lead role within PNC’s Technology organization, remote from Pennsylvania.

Responsibilities

Create and lead the technical design and development of software solutions.
Propose and design software solutions to address complex business needs; prepare required technical and procedural documentation.
Facilitate resolution of complex problems.
Provide technical guidance and support to colleagues; review coding, testing, and documentation.
Apply modern principles, methodologies, and tools to advance business initiatives and capabilities.

Requirements

3+ years of relevant/direct industry experience (roles at this level typically require a university or college degree).
Application development.
BI project management.
Business management.
Customer solutions.
Design.
Group problem solving.
Process improvements.
Project management.
Quality assurance (QA).
Release management.
Scrum (Agile).
Software solutions.
User experience (UX) design.
Application delivery process.
Application design.
Architecture.
Application development tools.
Application testing.
Packaged application integration.
System development life cycle.
Technical troubleshooting.
Certifications are often desired.

Position Overview

Software Engineer Lead within PNC’s Technology organization.
Based remotely in the state of Pennsylvania.
Remote work may be available in select geographic locations, subject to approval by PNC.
If approved, work must be conducted from a quiet, secure, confidential home-based workspace.
Occasional in-office participation may be required based on business needs.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Benefits

Medical/prescription drug coverage with a Health Savings Account feature.
Dental and vision options.
Employee and spouse/child life insurance.
Short- and long-term disability protection.
401(k) with PNC match, pension, and stock purchase plans.
Dependent care reimbursement account.
Back-up child/elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select programs fully paid.
Robust wellness program with financial incentives.
Maternity and/or parental leave.
Up to 11 paid holidays each year.
9 occasional absence days each year, unless otherwise required by law.
15 to 25 vacation days each year, depending on career level.
Years of service.

Application Window

Generally expected to be posted for two business days from 09/16/2026, though it may be longer with business discretion.

Disability Accommodations

If an accommodation is required to participate in the application process, contact AccommodationRequest@pnc.com.
Applicants may also call 877-968-7762 and say Workday for accommodation assistance.
All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit hiring individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to understand how PNC may use or disclose personal information in hiring practices.

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3d ago

Machine Learning Engineer, Reliability

fal - Features & Labels APAC 📍 APAC Remote

APAC

3d ago

Full time Application Security Artificial Intelligence Automation

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Job Description

Own reliability, security, and safety for fal’s fleet of generative media model APIs, combining ML engineering with site reliability practices.

Responsibilities

Own availability, latency, and throughput SLOs for a large fleet of generative media model APIs handling production traffic at scale
Build monitoring, alerting, and observability to detect ML-specific failures, output quality degradation, pipeline breakage, and model regressions before customers are impacted
Harden model deployment workflows using canary releases, shadow testing, automated rollbacks, and validation gates for safer model version shipping
Drive the model fleet’s security posture through secure model serving, abuse and misuse detection, rate limiting, and protection against adversarial usage patterns
Operationalize safety systems for generative media, including content moderation pipelines, safety classifiers, and guardrails that run reliably at inference time without harming performance
Lead incident response for model API outages and degradations, conduct postmortems, and drive engineering actions to prevent recurrence
Improve capacity planning, autoscaling, and GPU fleet efficiency for inference workloads under highly variable traffic
Partner with model and infrastructure teams to ensure reliability, security, and safety requirements are integrated into new model onboarding to the platform

Requirements

5+ years of professional experience, including 2 years operating production ML or high-scale API systems, ideally with on-call ownership
Production experience supporting diffusion models
Strong systems fundamentals: distributed systems, networking, observability, and incident management
Working knowledge of modern generative models (including diffusion and transformers) and how they fail in production
Familiarity with security and safety practices for ML systems, including abuse prevention and content safety or trust & safety experience (strong plus)
Bias toward automation, measurement, and blameless postmortems

Technologies

Python
torch
diffusers
Kubernetes
fal Python SDK

Location & Employment

Remote (APAC)
Must be based in India, Australia, or New Zealand
Full time
Department: EngineeringML
Team focus: ML Engineering / Site Reliability Engineering

Additional context: Access to a massive GPU cluster for inference and evaluation; work alongside a team focused on quickly iterating on and deploying new AI breakthroughs while maintaining reliability.

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29d ago

Senior Data Engineer

Suncoast Credit Union Tampa, FL 📍 Florida Remote

Tampa, FL

29d ago

$86k - $115k/yr Full time Senior Azure Data Factory Azure Data Platform

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Job Description

Suncoast Credit Union is seeking a Senior Data Engineer to design, evaluate, and test data infrastructure that enables reliable ingestion, processing, and extraction of insights. This role emphasizes ETL pipelines, data modeling and governance, analytics, and natural language processing, with close collaboration across business teams.

Responsibilities

Build systems and infrastructure to collect and process data aligned to company needs and goals.
Build, evolve, and scale infrastructure to ingest, process, and extract meaning from data.
Design, develop, and implement statistical models for classification and information extraction use cases.
Use existing data infrastructure to support data requests, including data housekeeping, cleansing, normalization, hashing, and implementing required data model changes.
Analyze datasets to identify anomalies, trends, and correlations across similar data.
Design, develop, and implement natural language processing software modules.
Troubleshoot data and system problems, identify possible solutions, and resolve issues accordingly.
Partner with business counterparts to define requirements for data to be provisioned, updating defined requirement document templates in collaboration with business stakeholders.
Work with the manager to translate business requirements into appropriate schema and data models.
Ensure design efficiency to minimize data refresh lags and support timely reporting across systems.
Deploy data architectures using standards set by the manager to implement Suncoast’s data strategy and transform business strategies into information architectures.
Follow measurable processes, tools, and engineered data management solutions to support data platforms including data warehouse, data lakes, visualization tools, master data management, and advanced analytics tools.
Design and develop ETL processes to extract data from multiple source systems, transform it into a usable format, and load it into data platforms.
Build data governance and quality best practices and establish standard operating procedures.
Use Azure Data Factory to create pipelines that create, move, and transform data across the data stack.
Architect advanced data solutions for current and future data processes.
Mentor teammates and provide advisory support as needed.
Maintain knowledge of current trends, laws, and issues impacting the area of expertise.
Attend educational events to expand professional knowledge.
Complete annual compliance and information security training to understand employee responsibilities for effective compliance and security programs.

Requirements

Bachelor’s degree in finance, economics, computer science, mathematics, or a related field. A comparable combination of work experience and training may substitute for education.
7+ years of experience making data usable to end users and working in a complex data environment.
7+ years of experience with Microsoft SQL Server platforms, including SSRS, SSAS, stored procedure creation, trigger definition and implementation, optimizing and indexing, and base knowledge of views, tables, database DDL, and SQL Server Integration Services (SSIS).
Experience using Development Transact-SQL.
Microsoft Azure (5 years): portal and resource navigation.
Azure Data Factory (5 years): developing pipelines, pipeline activities, troubleshooting, etc.
REST API experience.
GitHub: creating, updating, and submitting code.
Agile methodology (1 year) using the Kanban approach to limit work in progress.
Experience developing ETL processes.
Delta Lakes experience.
Lakehouse Architecture experience.
2+ years of experience designing data structures for a production environment.
Ability to prioritize tasks while managing competing and changing priorities to meet deadlines.
Accurate, detail-oriented, and organized approach to task management.
Ability to analyze and resolve difficult and often complex problems or situations.
Strong written, verbal, and interpersonal communication skills to interact effectively with team members, staff, vendors, and government regulators.
Strong knowledge of credit union products, services, policies, and procedures.
Strong knowledge and understanding of regulatory compliance.
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties.

Technologies

Microsoft SQL Server
SSRS
SSAS
Stored Procedure Creation
Trigger definition and implementation
SQL Server Integration Services (SSIS)
Development Transact SQL
Microsoft Azure
Azure Data Factory
REST API
Git Hub
Agile Methodology
Kanban
Delta Lakes
Lakehouse Architecture

Compensation

Compensation: $86,000-$115,000 per year based on credentials and experience.

Location and Position Type

Location: Tampa, FL (Remote)
Remote requirement: Candidate must reside in Florida
Position type: Full Time

Benefits

Bonus Program up to 12%
401K Matching up to 8%
Retirement Planning
Pay Increases based on Competency
Employee Loan Discounts
Flex Spending Accounts
Medical Coverage
Dental and Vision Coverage
Access to 4,000+ Gyms
Mental Health Resources
PTO Wellness Days
Short Term and Long Term Disability Coverage
11 Paid Holidays
3 weeks of Paid Time Off
4 weeks of Paid Parental Leave
Birthday PTO
Paid Volunteer Hours
Degree Assistance up to $5,000 per year

Additional Benefits Information

For more information, including additional benefits, visit: https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK. Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, visit https://careers.suncoastcreditunion.com/.

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1mo ago

UI/UX Engineer

General Dynamics Information Technology Remote 📍 US Remote

Remote

1mo ago Closed

$128k - $173k/yr Full time Accessibility Collaboration Design

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

UI/UX Design Engineer role for the Case Management Modernization (CMM) Program, partnering design and engineering to deliver accessible, efficient experiences with production-ready React code.

Responsibilities

Collaborate with Product Owners, UI Architects, Developers, and HCD Specialists to turn research insights into actionable design specifications.
Bridge design and engineering by translating high-fidelity prototypes into responsive, accessible, performant front-end applications and reusable UI components in React.
Apply Human-Centered Design (HCD) principles to ensure designs align with program objectives and Agile ceremonies.
Define and enforce UI/UX and front-end coding standards to support consistency and reusability.
Assess designs for compliance with Section 508, usability expectations, and WCAG accessibility guidelines.
Support iterative feedback through rapid prototyping and validation during sprint cycles.
Advise on UI consistency, interaction design, and opportunities to reuse design system patterns.
Work with Quality Assurance and Compliance teams to verify usability and accessibility in production releases.

Requirements

8+ years of UI/UX design development experience, including 5+ years in a Human-Centered Design role supporting enterprise or government applications.
Strong understanding of Agile/SAFe delivery and iterative design integration.
Expertise in usability testing methods such as heuristic evaluations, card sorting, and A/B testing (etc.).
Proficiency with design and prototyping tools: Figma, Sketch, Storybook, Axure, Miro (or similar).
Strong React proficiency, including reusable functional components, component state and props, responsive UI implementation, and integrating components into production applications.
Proficiency in HTML5, CSS3, and JavaScript/TypeScript, with the ability to convert UI/UX designs into production-ready React interfaces.
Strong experience with Sass or other CSS preprocessors.
Experience designing for federal systems, with practical knowledge of Section 508 and WCAG compliance.
Excellent storytelling and communication skills for technical and non-technical audiences.
Bachelor’s or Master’s degree in Human-Computer Interaction (HCI), Design, or a related field.
Experience designing for federal digital modernization programs or court/case management systems.
Familiarity with DesignOps and UX governance practices.
Exposure to data-driven UX optimization using Google Analytics and Hotjar.
Understanding of Zero Trust Design and secure user interface principles.
Knowledge of AI-assisted UX tools or predictive usability models.
Preferred: Certified Usability Analyst (CUA) or Certified HCD Professional.
Preferred: SAFe Agile Practitioner (SPC or SSM).
Highly desirable: Section 508 Trusted Tester Certification.
Beneficial: UX Design or HCD Certification (NN/g, IDEO, or HFI).
General experience: 10+ years in information systems.
Specialized experience: 8+ years.
Minimum education: BA/BS. Experience may be considered in lieu of degree: HS (16+ years), AA/AS (14+ years), BA/BS (12+ years), Doctorate Degree/Ph.D. (9+ years).

Technologies

React, JavaScript, TypeScript
HTML5, CSS3, Sass
Figma, Sketch, Storybook, Axure, Miro, InVision
Axe, Wave, Color Oracle, SiteImprove
Jira, Confluence, SharePoint, MS Teams
Hotjar, Google Analytics, Optimal Workshop
WCAG 2.1 AA, Section 508, FedRAMP

Location

Remote, working from the USA

Deliverables and Performance Outcomes

HCD Implementation Plans: documentation of methodologies, user testing cycles, and outcome summaries.
Accessibility and Compliance Reports: validation of Section 508, WCAG 2.1 AA, and FedRAMP UI standards.
Design System Contributions: standardized templates and components integrated into the shared UI library.
Performance outcomes:
- 100% of design and code artifacts produced according to HCD and Agile sprint objectives.
- 95% compliance with Section 508 and accessibility audit benchmarks.
- Measurable improvement in task completion efficiency and user satisfaction.
- 20% reduction in post-release UI-related defects through proactive design validation.

Work Requirements

Years of experience: 9+ years of related experience (may vary based on technical training, certifications, or degree)
Travel required: None
Clearance level: None
Public trust: Other

Compensation

Salary range: USD 128,039 - 173,229 per year
Salary is set based on experience, geographic location, and possibly contractual requirements, and could fall outside the stated range.

Identity Verification Process

Complete an identity verification process using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
Expected to be on camera during virtual interviews.
The employer reserves the right to take your picture to verify identity and prevent fraud.
Authorize collection, processing, and use of biometric data for identity verification and security purposes.

Requisition: RQ226741 • Requisition type: Pipeline

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1mo ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

1mo ago Closed

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

GitHub, Inc. is seeking an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats on GitHub at scale. This role also focuses on identifying vulnerabilities that enable abuse, performing ad-hoc analysis, and measuring the real-world impact of safety and integrity efforts.

Responsibilities

Design, build, and deploy agentic solutions that use large language models to detect and prevent fraud, abuse, and security threats at scale, including applications such as content classification and multi-step agentic investigation.
Build production-grade systems that run reliably against high-volume event streams, leveraging AI coding assistants to accelerate and improve engineering work.
Build and operate scalable ML systems on cloud platforms, including Azure AI Foundry, for training, deploying, and serving models and agentic solutions in production.
Evaluate and improve existing models and agentic solutions using offline evaluations (including tool-use loops and LLM-as-judge evaluation), performance metrics, and feedback from operational deployments.
Identify vulnerabilities in products that lead to abuse and consult with product teams when reviewing new features.
Collaborate with cross-functional partners such as data scientists, software engineers, product managers, and content moderators to integrate agentic solutions into production systems.
Document the systems you build and support the technical growth of peers.

Requirements

4+ years experience in machine learning, or a related field.
OR a Bachelor's Degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field, plus 2+ years experience in machine learning, or a related field.
OR a Master's Degree in Machine Learning, Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field.
OR equivalent experience.
Strong understanding of large language models, including hands-on experience applying them at scale for classification, agentic workflows, or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including experience with imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience in responsible AI and Safety-by-Design.
Experience managing user data and privacy.
Solid understanding of machine learning algorithms (supervised and unsupervised learning, anomaly detection, etc.) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration: the best work is done together.
Empathy: putting people first.
Quality: setting the standard for excellence.
Positive Impact: making the world a better place through the work.
Shipping: creating things for the people using them.

Compensation

The base salary range for this job is USD $107,700.00 - USD $285,900.00 /Yr.

Locations

Remote (United States)

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1mo ago

Machine Learning Engineer

Twilio Remote 📍 Ireland Remote

Remote

1mo ago Closed

Full time AI Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Twilio is hiring a Machine Learning Engineer on the Conversation Intelligence team to build AI-powered capabilities that extract meaning from voice and messaging data at scale.

Responsibilities

Design and develop machine learning solutions with a focus on accuracy, performance, security, and scalability
Build and maintain end-to-end AI/ML pipelines, covering data ingestion, feature engineering, model development, validation, and deployment (with guidance from senior engineers on complex architecture decisions)
Instrument AI/ML services using metrics, logging, and telemetry to track model performance and operational health against defined SLOs
Join on-call rotations and support progressive rollouts using standard mitigation strategies to keep production inference services healthy
Collaborate during planning, design, and code review to contribute to product and technical discussions, and improve code quality through detailed review feedback

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience
2+ years of experience in machine learning engineering or applied ML, including:
- Proficiency in Python
- At least one ML framework: PyTorch, TensorFlow, or JAX
- Familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy
Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including:
- Model versioning
- Experiment tracking
- Cloud infrastructure experience with AWS, GCP, or Azure
Proficiency in Python (preferred) or a similar object-oriented language
Experience using Large (or Small) Language Models within software systems
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences

Desired

Hands-on experience with conversational AI, or LLM fine-tuning and prompt engineering in a production context
Exposure to agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
Familiarity with MLOps/LLMOps practices and tooling for maintaining models in production, including testing, versioning, model registry, retraining, and monitoring

Technologies

Python
PyTorch
TensorFlow
JAX
Hugging Face Transformers
NLTK
SpaCy
AWS
GCP
Azure

Benefits

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
Retirement savings program

Location

Remote (remote) from Ireland

Travel

Occasional travel may be required for project or team in-person meetings

Recruitment fraud alert: Twilio will never request payment, gift cards, cryptocurrency, or banking information during recruiting. Offers are not made without a formal interview process, and interviews are not conducted exclusively through text-based messaging apps. Verify you are communicating with an official @twilio.com email address.

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1mo ago

Data Analytics Engineer

Collins Aerospace Santa Isabel, Puerto Rico 📍 Santa Isabel Remote

Santa Isabel, Puerto Rico

1mo ago Closed

Full time Azure Analytics Azure Data Lake Big Data

This position is no longer accepting applications (closed Sep 14, 2026).

Job Description

Collins Aerospace, within RTX Enterprise Services/Data & Insights, is looking for a Data Analytics Engineer to build reliable, scalable data pipelines and analytics solutions that improve business performance and support AI/ML initiatives. This remote role focuses on turning stakeholder needs into practical data products, with strong emphasis on data quality, governance, and compliance.

What you’ll build and improve

Reliable, scalable data foundations by designing, building, and maintaining data pipelines, data models, and curated datasets for analytics, reporting, decision-making, and AI/ML use cases.
Trusted data from complex sources through integration, transformation, standardization, and validation of data from enterprise applications, spreadsheets, databases, text files, APIs, and operational systems.
Analytics that drive understanding by developing and maintaining data visualizations, statistical analysis, reporting, and analytical solutions for enterprise and infrastructure data.
Governance and data management by establishing and improving data quality, validation, monitoring, governance, documentation, and reusability practices.
Support for AI/ML initiatives including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions.

How you’ll work day to day

Partner with customers and stakeholders to understand business and operational needs, identify improvement opportunities, and translate requirements into workable data and analytics solutions.
Independently lead projects using appropriate software development and agile practices, covering requirements and solution design through development, testing, implementation, and continuous improvement.
Create and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures.
Collaborate across IT and operations, providing technical guidance, peer review, and mentoring to others on the Data & Insights team.
Apply information security, information assurance, governance, privacy, and compliance requirements across all data, analytics, and AI/ML-related activities.
Reference written work instructions for guidance with daily job activities.

Required experience and skills

Education and experience: University Degree (or equivalent experience) with minimum 8 years prior relevant experience, or an Advanced Degree in a related field with minimum 5 years experience.
Hands-on experience: 5+ years in data engineering, data analytics, business intelligence, or a related technical discipline.
Proficiency with Python and SQL, including hands-on experience with PySpark or comparable distributed data-processing technologies.
Proven ability to design and develop production-quality data pipelines, data models, and ETL/ELT and data integration solutions.
Experience with data quality, data governance, data warehousing, data modeling, and modern cloud data architectures.
Ability to analyze complex datasets, develop meaningful metrics and visualizations, and translate insights into actionable recommendations.
Experience owning technical projects independently, working through ambiguous or complex problems with limited day-to-day direction.
Experience preparing, structuring, and curating data for machine learning, AI/ML, advanced analytics, or other data science applications.

Technologies you’ll use

Python, SQL, PySpark, ETL/ELT, Azure, Databricks, Snowflake, Delta Lake, Power BI
ServiceNow/ITSM data, Git/CI/CD

Benefits

Healthcare
Wellness
Retirement
Work/life benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care

Eligibility and location

Remote: Work primarily offsite from home.
Location requirement: The successful candidate must be currently living in Puerto Rico (Santa Isabel Municipio, PR remote).
Travel: May be expected to travel to the Santa Isabel site location as needed.
Citizenship requirement: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security clearance: None/Not Required.

Full time Adobe Pro Ansys AutoCAD

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