ImagineX Consulting Logo

ImagineX Consulting

Senior Software Engineer

Reposted 2 Months Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Senior Software Engineer will design and deliver enterprise applications, mentor junior engineers, and integrate AI capabilities into Java systems, focusing on scalable solutions.
The summary above was generated by AI

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.

As a Software Engineer II specializing in Java full‑stack development with a strong focus on AI‑enabled engineering, you will design and deliver complex enterprise applications while shaping how AI accelerates our development lifecycle. With 7+ years of hands‑on experience, you’ll contribute to architecture, mentor junior engineers, and integrate AI‑powered capabilities into modern Java systems. This role is ideal for an engineer who thrives in full‑stack environments, understands scalable distributed systems, and is excited to apply AI to improve both product functionality and engineering velocity.

Responsibilities
  • Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns
  • Build intuitive, performant front‑end experiences using React, Angular, or Vue
  • Lead technical design discussions and contribute to architectural decisions
  • Integrate AI/ML capabilities into applications (e.g., embeddings, LLM‑powered features, intelligent automation)
  • Use AI‑assisted development tools to accelerate coding, testing, documentation, and refactoring
  • Mentor junior engineers and promote engineering best practices across the team
  • Collaborate closely with product, data, and AI teams to deliver end‑to‑end solutions
  • Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization
  • Ensure security, scalability, and maintainability across the full stack
Qualifications
  • 7+ years of professional software engineering experience
  • Advanced proficiency in Java, Spring Boot, and microservices architectures
  • Strong experience with front‑end frameworks such as React, Angular, or Vue
  • Experience integrating AI/ML services or building AI‑enhanced features (LLMs, vector search, model inference, etc.)
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
  • Strong understanding of distributed systems, API design, and modern DevOps practices
  • Experience with relational and NoSQL databases
  • Ability to lead technical initiatives and mentor less‑experienced engineers
  • Excellent communication skills and the ability to collaborate with cross‑functional teams
This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship.

Similar Jobs

31 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
101K-273K Annually
Senior level
101K-273K Annually
Senior level
Big Data • Cloud • Software • Database
Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.
Top Skills: AWSC++GCPJavaScriptAzureMongoDBPythonRaft
3 Hours Ago
Easy Apply
Remote or Hybrid
IN, USA
Easy Apply
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
Build and evolve scalable, performant software services supporting production AI systems. Responsibilities include writing quality code, designing cloud-neutral microservices, optimizing and deploying AI models, contributing to architecture and design discussions, leading the software development lifecycle, mentoring engineers, and collaborating cross-functionally. The role requires expertise in Go or another major programming language, Python, DevOps technologies, cloud architecture, databases, and scalable service development.
Top Skills: C# 9C++17Ci/CdDockerGitGoGraphQLGrpcJava 11KafkaKubernetesNatsOpenstackPythonPyTorchRabbitMQRestRustTensorFlow
4 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
101K-273K Annually
Senior level
101K-273K Annually
Senior level
Big Data • Cloud • Software • Database
Develop and maintain MongoDB server workload resilience infrastructure in C++ or Rust. Design workload policies for rate limiting, prioritization, overload mitigation, availability, and performance. Write unit and integration tests, investigate failures, improve observability, diagnose and fix complex distributed-system issues, and lead technical projects. Collaborate across engineering teams, mentor junior engineers, participate in hiring, and improve operational readiness, monitoring, incident management, and rollout processes.
Top Skills: C++JavaScriptMongoDBPythonRust

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account