Senior Full Stack Engineer

Gummicube, a division of Airship, is looking for a Senior Full Stack Software En...

Location

United States

Salary:

130000.00 - 150000.00 USD / Year

Airship

Expiration Date

Until further notice

Requirements

5+ years of direct experience
Demonstrated experience in technical leadership, including leading projects, mentoring junior and mid-level engineers, and conducting thorough code reviews
A deep understanding of system architecture and a proven ability to design and implement robust, scalable solutions
Strong problem-solving skills and the ability to drive technical decisions independently and collaboratively
A track record of improving engineering processes, team efficiency, and overall code quality
Able to deliver, modify, and maintain modern full stack Javascript Node.js applications with React and GraphQL
Familiar integrating with AWS infrastructure (DynamoDB, RDS, S3) or similar
Experience with test-driven development practices and CI/CD pipelines
Experience with Git for version control, issue/feature branching, merge requests
Able to flex to other technical task and projects as needed including devops, data management, infosec, legacy systems, and/or device hacking

Job Responsibility

Act as a technical leader and key contributor in the design and development of our platform, helping to architect the future of our mobile market intelligence products
Mentor and provide technical guidance to other engineers, raising the quality bar for code and development practices across the team
Drive complex technical projects from initial concept to live production, ensuring solutions are scalable, maintainable, and aligned with business goals
Identify and solve challenging architectural problems and performance bottlenecks in our large-scale data systems

What we offer

Equity
Robust benefits package

Fulltime

New

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus

Description Hybrid: This role is categorized as hybrid. This means the success...

Location

United States , Austin

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or related field, or equivalent experience
5+ years of web application development experience
Strong frontend and backend development skills, including HTML, CSS, JavaScript, and Java, Python, and/or server-side JavaScript
Hands-on experience designing and operating production workloads on GCP, including services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery
Experience with AI-powered search or recommendation systems, ideally Vertex AI Search or similar semantic/vector search platforms
Experience with system design, testing, debugging, automation, and performance optimization

Job Responsibility

Develop competency across our complete web technologies stack (client, framework, and services)
Produce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment
Serve as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs
Investigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services
Lead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability
Work on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences
Leverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship
Design and build web applications and services on GCP, leveraging services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery where appropriate
Implement and integrate Vertex AI Search to power intelligent search, semantic retrieval, and content discovery across GM's digital products (e.g., marketing sites, owner experiences, support content)
Define and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction

Fulltime

New

Senior Applied AI Full-Stack Engineer

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years' hands-on experience with Java and Spring Boot for building scalable microservices, and Angular 16+, TypeScript, JavaScript, HTML5, JSON, CSS, Web Sockets, and Ajax
Proven experience designing large-scale internet/intranet platforms using microservices architecture
Strong fundamentals in systems analysis, design patterns, and SDLC, including unit testing and CI/CD practices
Ability to produce high-level and low-level design artefacts (sequence diagrams, class diagrams)
Proficiency in Python for scripting, automation, or AI-adjacent tooling
Hands-on experience with MongoDB
solid understanding of modern database design and data modelling
Good understanding of message brokers
Kafka experience highly desirable
Demonstrated, hands-on proficiency with AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot, or equivalent)

Job Responsibility

Design and build large-scale internet/intranet web application platforms on microservices architecture, owning decisions across the full stack — from Angular frontends to Java/Spring Boot backends and MongoDB data layer
Lead system design at both high and low levels, producing artefacts such as sequence diagrams, class diagrams, and data models, while ensuring security, scalability, and performance are built in from the start
Leverage AI coding agents (e.g., Claude Code, Cursor, Devin) for code generation, debugging, and routine tasks
engineering high-quality context (repository structure, API specs, Jira tickets) to maximize the accuracy and reliability of AI output
Critically review, validate, and take ownership of all AI-generated code ensuring structural integrity, security compliance, and production readiness before anything reaches deployment
Integrate agentic workflows into CI/CD pipelines
manage multiple workstreams concurrently through intelligent delegation to AI agents
Act as a player/coach within small, co-located squads — hands-on in delivery while actively upskilling junior engineers to become effective AI-first practitioners
Apply a strong functional understanding of Corporate Banking to ensure solutions address real business outcomes, not just technical requirements

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 Python Full Stack Developer

We are seeking a highly skilled Senior Python Full Stack Developer to lead the d...

Location

India , Bangalore

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Expert-level proficiency in Python and at least one major Python framework (FastAPI, Django, Flask)
Strong frontend experience with JavaScript/TypeScript and at least one modern framework (React, Vue, Angular)
Deep understanding of database design, query optimization, and ORMs
Proficiency with cloud services (AWS/Azure/GCP) and containerization (Docker, Kubernetes)
Strong knowledge of API design, microservices, and distributed systems
Experience with CI/CD pipelines and DevOps practices
Solid understanding of security best practices, testing frameworks, and version control (Git)
Excellent problem-solving skills and ability to work in fast-paced environments
Bachelors or Masters degree (preferred) in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Job Responsibility

Design and build AI-powered features and services, including LLM-based workflows, recommendation systems, and intelligent automation
Develop and integrate Agentic AI systems (multi-step reasoning agents, tool-using agents) using modern frameworks like ADK or similar
Implement prompt engineering, evaluation, and optimization strategies for reliable and cost-efficient LLM usage
Build RAG (Retrieval-Augmented Generation) pipelines using vector databases (FAISS, Pinecone, Weaviate) for contextual and domain-specific responses
Lead development of RESTful / GraphQL APIs using Python (FastAPI, Django, Flask)
Design scalable architectures, microservices, and asynchronous task systems (Celery, Redis, RabbitMQ)
Implement data models and business logic with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB)
Optimize performance, troubleshoot issues, and enhance system reliability and security
Integrate third-party services, cloud APIs, authentication/authorization (OAuth2, JWT)
Develop responsive, user-friendly interfaces using modern frameworks (React preferred)

What we offer

AMD benefits at a glance

Fulltime

Lead Software Engineer (IAM) - Java Full Stack

Wells Fargo is seeking a Lead Software Engineer.

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

June 29, 2026

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Microservices Engineering & Distributed Systems:- Solution and build cloud-native, microservices-based IAM platforms
Expertise in: Spring Boot / Java / Node.js / .NET microservices frameworks
RESTful APIs, GraphQL, gRPC-based service communication
Deep experience with Azure / AWS / GCP (GCP preferred)
Strong experience designing: Service-to-service authentication and authorization
API gateway patterns (Apigee, Kong, Azure APIM, etc.)
Event-driven architectures (Kafka, Pulsar, RabbitMQ)
Design for high scalability, resiliency, and fault tolerance
Circuit breakers, retries, distributed tracing, observability

Job Responsibility

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor
Architect and deliver a next-gen identity platform for AI agents and workloads
Build secure microservices-based IAM/IGA capabilities at enterprise scale
Establish guardrails for AI systems, ensuring: Compliance, auditability, and risk mitigation

Fulltime

Senior Backend Engineer - Python / Threat Intelligence

Are you ready to join a team that's building the future of threat intelligence? ...

Location

Czechia , Prague

Salary:

Not provided

Rapid7

Expiration Date

Until further notice

Requirements

A minimum of 5 years of software development experience in a production environment with deep proficiency in Backend technologies (Python), including Python libraries (eg. SQLAlchemy, Pydantic, Playwright, Pytest), API design, Databases, and Microservices
Experience with Cloud computing (e.g., GCP, AWS, or similar)
Experience with DevOps practices (CI/CD pipelines, etc.)
Experience with Databases (eg. ElasticSearch, Firestore, PostgreSQL, MongoDB)
Problem Solving: Strong creative problem-solving skills with a focus on system design and performance optimization
Attention to Detail: Excellent attention to detail and a commitment to high-quality technical execution
AI Proficiency: Hands-on approach to AI Research and the ability to integrate AI into production environments
Passionate and responsible team player with strong communication skills
You aren't afraid to challenge the status quo, bringing innovative thinking and a fresh perspective to complex problems
Understanding of the full lifecycle development process, including business and functional requirements, developing technical designs, implementation of scalable solutions, and object-oriented design

Job Responsibility

Take an active role in the design and planning of upcoming features and make well-reasoned decisions and tradeoffs in your areas of expertise
Develop, test, and deploy high-quality, efficient code across the full stack, adhering to best practices and coding standards
Lead AI Research & POCs to find innovative solutions for threat intelligence
Take an active role in high-level architectural thinking, working with both legacy code and greenfield projects
Investigate and resolve the most complex system defects and production issues, performing root cause analysis to implement permanent technical solutions
Partner with internal teams to ensure we are understanding and delighting our customers

Fulltime

Digital Software Engineer Senior Manager - Vice President

The Digital S/W Engineer Sr Mgr accomplishes results through the management of p...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

11-17 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expertise in one or more areas with at least 3+ years of deep specialization in AI/ML, NLP, or Generative AI development
Proven experience in successfully building, leading, and delivering complex technology projects from conception through to deployment and ongoing support
Proven experience in leading high performance teams spread across multiple locations
Effectively coach and give feedback to direct reports to help develop talent and support career development
2+ years of experience building and operating production-grade AI systems such as digital assistants, recommendation engines, or similar intelligent platforms
2+ years of deep, applied experience with LLM technologies (GPT-4, Claude, Gemini, or equivalent), including prompt engineering, fine-tuning, and cost optimization in production environments
Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases for knowledge-grounded AI applications
Demonstrable experience in designing and deploying agentic AI workflows and multi-agent systems using modern frameworks
Proficiency in NLP model development using industry-standard libraries and ML frameworks
Expert-level Python development skills with strong command of RESTful APIs, microservices architecture, and cloud platforms

Job Responsibility

Accountable for executing and driving enterprise grade application design and development efforts to completion, serving as a development lead
Proficient at operating with considerable autonomy and significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles
Participate in design discussions as a Development Lead and play the part of a key decision maker in driving design decisions
Partner with industry vendors that provide technology or user experience design components that support our Digital architecture and work with vendors on our implementation plans and roadmaps identifying partnership opportunities to increase our development velocity and our learnings
Directly impact the business by influencing strategic functional decisions through advice, counsel or provided services
This will require persuading and influencing others through strong and comprehensive communication and diplomacy skills
Communicate progress, anticipate bottlenecks, provide escalation management, identify, assess, track and mitigate issues/risks at multiple levels
Regularly review metrics and proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives
Share knowledge with the team in various forums (brown bags, engineering forums etc.) and demonstrate a higher level of knowledge through industry certifications
Integrate LLMs for conversational understanding and response generation

Fulltime

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Senior Full Stack Engineer - Decision Intelligence

Job Description

Job Responsibility

Requirements

What we offer

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