Lead Software Engineer, Backend (AI Infrastructure & Tooling) Job at Capital One (Plano)

Ai & Software Engineer Lead - Backend

As an Lead Software Engineer at PMG, you’ll join a dynamic team that thrives on ...

Location

United States , Dallas

Salary:

Not provided

PMG

Expiration Date

Until further notice

Requirements

5+ years of backend development experience, with a strong focus on building scalable, high-performance systems, or a related field, with a bachelor’s or master’s degree or equivalent experience
3+ years working with modern backend frameworks such as Django, Flask, or Express.js
Proven experience designing and integrating RESTful APIs and microservices architectures
Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support
Experience mentoring and guiding engineers to achieve technical excellence
Proficiency in backend languages like Node.js, Python, or Go with a focus on clean and maintainable code
Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design
Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions
Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments
Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently

Job Responsibility

Leading the design, development, and deployment of innovative, scalable features within the Alli suite of applications
Drafting and implementing architectural designs to produce reliable, complex, and highly scalable technical solutions
Working closely with Product Managers, Designers, and cross-functional teams to integrate AI-driven solutions that improve performance and drive business outcomes
Building scalable products that drive measurable results for our clients
Fostering a culture of collaboration and innovation by mentoring junior and mid-level engineers and promoting development best practices
Conducting coding, debugging, testing, and troubleshooting across the application development lifecycle
Conducting code reviews and providing fellow backend engineers critical feedback to ensure high-quality, maintainable code across Alli
Pioneering development in state-of-the-art technologies that transform the marketing technology space

What we offer

Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support
Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones
Parental Leave: We provide paid parental leave to support your family during important life events
Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching
Fertility and Family Support: Access fertility benefits for all team members and their spouses
Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography
Pet Insurance: Protect your pet's health and your finances
Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being
Commuter Benefits: Access support for travel and commuting needs, where available
Annual Bonus: All employees are eligible for an annual bonus

Staff Software Engineer, (Backend) Uber AI Solutions

At Uber, our mission is to be the platform of choice for flexible earning opport...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s (or Master’s) degree in Computer Science, Engineering or related discipline (or equivalent experience)
Expert in at least one major backend or infrastructure technology (languages, frameworks, distributed systems, data pipelines) and comfortable influencing architecture across teams
Strong record of mentoring and developing engineers, setting technical standards, and driving impact beyond a single team
Excellent communication and collaboration skills
able to engage with multiple teams, stakeholders, and articulate vision and trade-offs
Experience participating in hiring and helping build out engineering teams or capability
8+ years of professional software engineering experience, with substantial experience designing, building, and operating large-scale systems across multiple teams
Deep understanding of ML Ops ecosystems, LLM or ML model lifecycle management, and large-scale data processing frameworks (e.g., Kubeflow, Airflow, Ray, Spark)
Proven experience architecting systems for data labeling, translation, or human-in-the-loop workflows supporting high-volume ML applications
Strong familiarity with GenAI, Physical AI and LLM infrastructure model hosting, fine-tuning, evaluation, and integration into production services

Job Responsibility

Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services
Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments
Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group
Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams
Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Software Engineer - AI Engineering and Productivity

The Role The AI Engineering and Productivity team in the Global Planning, Desig...

Location

United States , Austin; Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
6+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python , and preferably Angular
3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
Experience building or supporting data pipelines , ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark , or similar)
3+ years of experience with Kubernetes/Docker, Quarkus , and cloud platforms such as Azure, AWS , or GCP
Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
Hands on experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
Willingness and demonstrated ability to learn and apply AI concepts , including working with data and APIs that support AI/ML and LLM based solutions
Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders

Job Responsibility

Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment

What we offer

Relocation benefits

Fulltime

Lead AI Software Developer

The project focuses on building and developing a modern AI platform supporting b...

Location

Poland , Wroclaw

Salary:

1600.00 PLN / Hour

Astek

Expiration Date

Until further notice

Requirements

Extensive experience in backend development with Python in production environments
Hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions
Understanding of system integrations, API architecture, and scalable cloud-based applications
Experience with AWS or Azure and containerized environments such as Docker and Kubernetes
Experienced in designing secure and scalable enterprise solutions
Strong problem-solving skills and ability to proactively remove technical blockers
Enjoy working closely with cross-functional teams in an international environment
Experience mentoring developers, conducting code reviews, and promoting engineering best practices
Interest in modern AI architectures, workflow automation, and multi-agent systems
Fluent communication in English and Polish

Job Responsibility

Designing and developing scalable backend services and AI-driven integration solutions in Python
Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems
Creating and optimizing multi-agent workflows and intelligent automation processes
Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations
Integrating external AI platforms, internal tools, and cloud services into production environments
Working with cloud technologies and containerized infrastructure in AWS or Azure environments
Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows
Conducting code reviews, mentoring team members, and supporting engineering best practices
Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements
Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

What we offer

Long-term collaboration
Technical training, certifications, and skills development
Competence Center mentoring
Clear career path
Employee benefits package (Multisport, private healthcare, life insurance)
Friendly working atmosphere, team-building events, and team-building meetings

Fulltime

Senior Software Engineer, AI Platform

GoodLeap is a technology company delivering best-in-class financing and software...

Location

United States , AUSTIN; SAN FRANCISCO; IRVINE; ROSEVILLE

Salary:

173000.00 - 200000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

5+ years of experience building and shipping scalable, robust backend services and APIs
Strong proficiency in Python and/or TypeScript
Solid understanding of distributed systems, service-oriented architecture, and event-driven patterns (e.g. Kafka, RabbitMQ, SQS)
Passion for software development, emerging technologies and culture of innovation
A collaborative mindset and interest in mentoring teammates and elevating team practices
Excellent communication and interpersonal skills

Job Responsibility

Build features and extensions to our agentic AI platform using scalable, robust, and AI-first software engineering practices
Design tools and infrastructure to enable teams at GoodLeap to easily build and enhance AI agents that empower homeowners, contractors, and operations staff
Work alongside a team of AI engineers, product managers, and data scientists to evaluate and improve our agent ecosystem
Collaborate with Staff engineers, product, architecture, and design leads to deliver highly-available, fault-tolerant products and services
Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs
Grasp both the technical and business perspective so you can help drive innovation
Work autonomously and be self-disciplined, requiring minimal supervision or guidance
Collaborate with other team members and coach more junior team members to grow both their technical skills and soft skills

What we offer

May be eligible for a bonus and equity

Fulltime

Lead Backend Engineer

We are looking for a highly motivated and experienced Lead Backend Engineer to j...

Location

Salary:

Not provided

Commencis

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science, Engineering or a related subject
Proven hands-on software engineering experience
Strong experience in Java development
Strong experience with Spring Framework, preferably Spring Boot
Hands-on experience in designing and developing enterprise-grade backend applications
Solid understanding of microservice architecture and distributed systems
Experience with event-driven architecture and asynchronous integration patterns
Strong knowledge of scalable, resilient and high-availability system design
Solid understanding of object-oriented analysis and design using common design patterns
Experience with RESTful APIs and backend integration patterns

Job Responsibility

Design, implement, and operate cloud-native AI/ML services that are secure, reliable, and cost-efficient ensuring that they meet the business objectives and adhere to service level agreements (SLA)
Deploy and maintain AI applications on cloud- architecture
Build retrieval-augmented generation (RAG) stacks: embeddings, vector stores, chunking, and evaluation
Create MLOps foundations: experiment tracking, model registry, CI/CD for data & models, and Infrastructure-as-Code
Investigate new techniques, tools, and methods that might increase efficiency among engineering & technology and cloud teams, as well as leading execution processes of topics evaluated & planned for roll-out
Collaborate with other technical leaders and business stakeholders to align all constraints and come up with solutions regarding project/product/initiative outputs
Be accountable for the reliability and security of cloud infrastructure and services
Provide visibility of performance, cost, and the security of cloud infrastructure and services
Drive continuous improvement, continuous delivery, and lean practices within the cloud team
Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense

What we offer

Competitive salary
Private health insurance
Pension and retirement plans through a company-backed pension system
Meal card
Commute compensation
Work-from home support
Paid birthday off
Flexible working hours including remote working option
Online events, guest speakers, refreshments in the office, meeting-light culture
Support learning and development programs for almost anything

Fulltime

Software Engineer, Backend - Consumer Features Domain

You will be joining the Business Team — the team that helps businesses improve t...

Location

Italy , Milan

Salary:

Not provided

Satispay

Expiration Date

Until further notice

Requirements

At least 3 years of experience as a Backend Engineer in fast-paced environments with a strong track record of building and maintaining scalable microservices
Solid expertise in Java & Spring Boot
Exposure to cloud (AWS is a plus) and relational databases
User focus on performance, reliability, and clean business logic
Ability to excel at cross-functional collaboration and clear communication (technical & non-technical)
Passionate about FinTech and/or startup environments
Fluent in English

Job Responsibility

Own the End-to-End Lifecycle: Design, build, test, and operate mission-critical consumer features—from technical design to production—using Java, Spring Boot, and PostgreSQL
Build & Scale High-Impact Features: Develop and maintain core user functionalities such as our BNPL ("Pay in 3") experience, Gift Card flows, Mobile Top-ups, and Personal IBAN/SCT wire transfers to drive engagement and transaction volume
Enhance Payments Mechanics: Improve the backend logic and reliability of budget mechanisms and scheduled top-ups, ensuring the app's payment mechanics are clear, scalable, and reliable for millions of users
Master a Modern Tech Stack: Take ownership of our AWS-based infrastructure (EC2/ECS, S3, Lambda, Kinesis) and drive architectural improvements to ensure smooth integration across microservices
Work in an AI-Powered Environment: Leverage AI tools daily to write and optimize code, speed up root cause analysis, and generate documentation, raising the bar for engineering efficiency
Solve Complex & Ambiguous Problems: Turn vague user needs into scalable technical solutions, balancing delivery speed with technical quality and long-term maintainability
Collaborate & Lead Quality: Work cross-functionally with Product and UX/UI teams while actively contributing to code reviews, post-mortems, and refactoring initiatives to promote engineering best practices
Drive System Reliability: Debug complex issues across services, investigate production incidents, and share learnings with the team to continuously improve system health

What we offer

Unlimited paid time off
Psychological support & mental health webinars with Serenis
Flexible hybrid working system
Extended parental leave
Childcare leave
Health Coverage
Professional development programmes
Internal mobility program
Language classes with Preply
Internal workshops & training

Fulltime

Backend Software Engineer

Manus — now part of Meta — is a general-purpose AI agent that bridges mind and a...

Location

Singapore

Salary:

Not provided

Select Country

Lead Software Engineer, Backend (AI Infrastructure & Tooling)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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