Senior Software Engineer, Full Stack (Intelligent Foundations and Experiences) Job at Capital One (McLean, Virginia)

Senior Software Engineer (Full Stack) - Intelligent Foundations and Experiences (IFX)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , Plano; McLean; Richmond

Salary:

147100.00 - 184600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 3 years of experience in software engineering (Internship experience does not apply)
5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
3+ years of experience in open source frameworks
2+ years of experience in Agile practices

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Senior Lead Software Engineer, Back End/Full Stack (Intelligent Foundations & Experiences)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean; Richmond; Plano; Riverwoods; Chicago

Salary:

209000.00 - 262400.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Lead - Java Full Stack - Senior Vice Presient

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

Senior Software Engineer - Self Service Automation

The Enterprise SaaS & AI (SAI) organization delivers critical technology platfor...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
7+ years of professional software engineering experience
Strong proficiency in Java and .NET, with experience building production-grade systems
Hands-on experience building end-to-end cloud-native applications, including deployment to Kubernetes and OpenShift
Deep understanding of microservices architecture and distributed systems
Full-stack development experience and strong CI/CD practices
Experience with relational and non-relational databases, including schema design
Solid foundation in software engineering fundamentals (design patterns, data structures, algorithms)
Experience working in Agile development environments
Strong communication skills with the ability to translate requirements into scalable solutions

Job Responsibility

Design, build, and operate enterprise-scale self-service automation platforms that improve IT efficiency and security
Lead the architecture and design of complex, distributed, cloud-native systems
Develop secure, scalable microservices and user-friendly front-end experiences supporting automation use cases such as: Automated password rotations and management, Patching and release management, Application start/stop/restart workflows, End-to-end automation orchestration
Implement AI-assisted workflows and intelligent automation to expand self-service capabilities and reduce support demand
Establish and enforce coding standards, best practices, and architectural patterns
Instrument and observe production systems using logging, metrics, and tracing to ensure reliability and performance
Own Tier 2/3 operational responsibilities, including on-call support, incident response, troubleshooting, and root-cause analysis
Proactively improve system reliability, availability, and resiliency
Monitor platform adoption and effectiveness
define KPIs and produce usage and impact reporting for leadership

What we offer

Relocation benefits

Fulltime

Senior Software Developer (MERN Stack)

Enphase Energy is a global energy technology company and a leading provider of s...

Location

India , Bangalore

Salary:

Not provided

Enphase Energy

Expiration Date

Until further notice

Requirements

Motivated Full-Stack Developer with 4 to 7 years of experience developing web applications using modern frontend and backend technologies
Passionate about building clean, responsive user interfaces and working in collaborative Agile environments
Contributed to full-stack web application development using React, Node.js, and Python
Designed and consumed RESTful APIs, including AI-enabled services
Designed, built, and integrated Generative AI features using AWS Bedrock into production applications
Implemented LLM-powered workflows such as summarization, intelligent search, content generation, and user assistance
Applied prompt engineering techniques and iterative tuning to improve response quality and reliability
Participated in code reviews and architecture discussions, including AI-driven design decisions
Assisted in performance optimization, including latency and cost optimization for AI workloads
Collaborated with QA and DevOps teams to deploy AI and non-AI services through CI/CD pipelines

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance

Fulltime

Java Full Stack Lead - Vice President

The Production Engineer is a pivotal role within Citi's Technology organisation,...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Demonstrable experience in a critical software engineering or production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent)
Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases
Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making
Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns
Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices
Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
Polyglot full-stack developer mentality and ability to pick up new languages and skills
Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks
Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh (Istio or equivalent) is highly desirable
Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable

Job Responsibility

Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate
Architects and implements agentic AI workflows — building autonomous systems that can reason, plan, and act across production environments with minimal human intervention
Applies advanced prompt engineering techniques to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms
Leads the development of AI-native observability solutions — leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users
Writes clean, well-tested, and well-documented code across the full stack
champions engineering best practices including code review, pair programming, and test-driven development
Drives Continuous Delivery and Automation efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale
Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle — from deployment to decommission
Implements the Agile Framework through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes

Fulltime

Principal Fullstack Software Senior Vice President

We are seeking a visionary and highly accomplished Senior Vice President (SVP), ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering
5+ years in a senior leader capacity
5+ years experience and extensive track record of leading engineering teams in a product-centric environment, with a history of successful product launches
5+ years experience and demonstrated expertise in designing and building large-scale, distributed systems using microservices architecture
5+ years experience and deep and extensive knowledge of modern software architecture principles and framework design
5+ years experience and mastery of one or more modern programming languages (e.g., Java, Go, Python, C#)
5+ years experience and good understanding of cloud-native technologies and platforms (e.g., AWS, Azure, GCP, Kubernetes)
3+ years proven experience with API design (REST, gRPC), data modeling, and various database technologies (SQL, NoSQL)
Hands-on experience and proficiency in leveraging AI-powered development tools (e.g., GitHub Copilot, Devin) in a professional engineering environment
Must have Full stack -Java backend, React or Angular frontend experience

Job Responsibility

Lead architectural design and decision-making, promoting best practices for building scalable, resilient, and secure microservices
Drive the design and implementation of foundational frameworks that enable rapid and consistent product development across multiple teams
Act as the senior technical authority, providing guidance and mentorship to engineering teams on complex technical challenges
Oversee the end-to-end software development lifecycle, from concept and design to deployment and operations
Collaborate closely with Product Management, Design, and other business stakeholders to ensure technical solutions meet customer needs and market demands
Champion agile methodologies and a culture of continuous improvement to deliver high-quality products efficiently and predictably
Lead, mentor, and grow a world-class engineering organization, fostering a culture of excellence, collaboration, and ownership
Manage and develop engineering talents, Set clear goals, provide regular feedback, and create opportunities for career growth within the engineering team
Stay at the forefront of industry trends, particularly in software architecture, microservices, and artificial intelligence
Lead the evaluation and adoption of new technologies and tools to enhance engineering productivity and product capabilities

Fulltime

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Senior Software Engineer, Full Stack (Intelligent Foundations and Experiences)

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