4666 – Engineering Manager (Backend)

Lexicon Solutions

United States

Remote

USD 120,000 - 150,000

Full time

14 days+

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Job summary

A leading technology firm in the United States is seeking a Software Engineering Manager to lead a team focused on building high-performance APIs and microservices. This role entails driving architectural decisions for systems handling real-time data, mentoring engineers, and collaborating with cross-functional teams. The ideal candidate has over 7 years of software engineering experience, including 2 years in a leadership capacity, and a strong background in API architecture and database optimization.

Qualifications

  • 7+ years of software engineering experience, including 2 years in a leadership role.
  • Deep expertise in API-driven architectures and microservices.
  • Hands-on experience with real-time data streaming.

Responsibilities

  • Lead and mentor a team of engineers in building high-performance APIs.
  • Partner with Product Managers to define scalable solutions.
  • Drive architectural decisions for distributed systems.

Skills

Software engineering experience
API-driven architectures
Database design and optimization
Technical communication
Project management skills

Tools

PostgreSQL
MongoDB
Redis
Kafka
RabbitMQ
Node.js
.NET
Kubernetes

Job description

Key Responsibilities
  • Lead and mentor a team of talented engineers building high-performance APIs and microservices
  • Partner with Product Managers to translate business requirements into scalable technical solutions
  • Drive architectural decisions for distributed systems handling real-time financial data flows
  • Champion best practices for API design, database optimization, and service reliability
  • Foster a culture of continuous improvement, code quality, and technical excellence
  • Collaborate with cross-functional teams to ensure seamless integration between services
  • Balance hands-on technical contribution with people management and strategic planning
  • Guide the team through technical challenges while maintaining project velocity and quality
  • Establish monitoring, alerting, and performance benchmarks for mission-critical services
  • Build strong relationships across engineering teams to promote knowledge sharing
Required Qualifications and Key Competencies
  • Must Have Skills:
    • 7+ years of software engineering experience with at least 2 years in a leadership role
    • Deep expertise in building and scaling API-driven architectures and microservices
    • Strong background in database design and optimization (SQL and NoSQL)
    • Hands-on experience with real-time data streaming and event-driven architectures
    • Proven track record of leading teams delivering complex backend systems
    • Excellence in technical communication – able to explain complex concepts simply
    • Experience with distributed systems patterns and their trade-offs
    • Natural ability to mentor engineers and help them grow their careers
    • Comfortable making architectural decisions that balance innovation with stability
    • Strong project management skills with experience in agile methodologies
Technical Skills
  • Proficiency in designing RESTful and/or GraphQL APIs
  • Experience with microservices orchestration and service mesh technologies
  • Understanding of database technologies (PostgreSQL, MongoDB, Redis, etc.)
  • Knowledge of message queuing and streaming platforms (Kafka, RabbitMQ, etc.)
  • Familiarity with containerization and cloud-native development
  • Experience with monitoring and observability tools
Preferred Skills
  • Preferred Skills (great if you have experience with):
  • Node.js or C#/.NET development – hands-on experience with our client’s stack
  • Financial services or high-frequency trading systems
  • WebSocket implementations and real-time bidirectional communication
  • Event sourcing and CQRS patterns
  • Kubernetes and container orchestration at scale
  • Performance tuning for low-latency systems
  • Building teams from scratch or scaling existing teams
  • CI/CD pipeline design and DevOps practices
  • Data pipeline architecture and ETL processes
  • Chaos engineering and resilience testing
  • Leading remote or distributed engineering teams
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