Staff Software Engineer

Lead Software Engineer

Location: Dallas, TX or Remote

Total experience 7+ and 10+ for senior role

Brief

We are a tech-driven staffing and recruiting firm based in North America. Delivering the top 1% of Data, Analytics, AI and Sales talent for companies ranging from startups to enterprise.

About the Role

We are seeking a talented Lead Software Engineer to help build the next-generation high-speed Data Observability and Orchestration Pipeline Framework.

Working alongside a team of engineers and architects, you will be responsible for prototyping, designing, developing, and supporting a highly scalable SaaS-based platform. This is an exciting opportunity to play a key role in building cutting-edge systems leveraging Generative AI, microservices, and large-scale distributed architectures.

As a Lead Software Engineer, you will contribute to the evolution of client's next-generation technology platform capable of processing over 100 million transactions and terabytes of data per day while helping build dynamic AI-powered applications on the Strada platform.

Key Responsibilities

1. Architect and Lead the Data Highway Platform

• Design and develop scalable, high-performance, and reliable architectures for the Data platform using Go and Java
• Build event-driven, high-throughput systems capable of processing millions of events per second
• Implement real-time streaming and messaging systems using technologies such as Kafka
• Lead development and optimization of microservices to ensure scalability, performance, and security
• Collaborate with cross-functional teams to define technical vision, architecture roadmap, and platform strategy

2. Drive AI Initiatives

• Architect and develop AI-powered components that enhance intelligence and automation within the Data Highway
• Integrate AI/ML models into real-time data processing systems
• Build AI-driven applications for observability, orchestration, and intelligent decision-making across large-scale distributed systems

3. Hands-On Development

• Write clean, efficient, scalable, and maintainable GoLang code
• Develop RESTful APIs, distributed systems, and event-driven services
• Contribute directly to the implementation of DataBahn’s SaaS platform
• Conduct code reviews and mentor engineering teams on best practices, architecture, and coding standards

4. Technical Leadership and Mentorship

• Provide technical leadership and mentorship to engineering teams
• Define architecture blueprints and scalable system designs
• Drive innovation by researching and implementing emerging tools, frameworks, and methodologies
• Guide teams in solving complex technical challenges and architectural decisions

5. Platform Optimization

• Continuously improve platform performance, scalability, and reliability
• Implement performance tuning strategies including:
• Load balancing
• Caching
• Auto-scaling
• Design and develop self-healing systems with automated failure detection and recovery mechanisms
• Ensure high availability and minimal downtime across services

6. Security and Compliance

• Implement robust security measures to ensure:
• Data integrity
• Confidentiality
• Compliance with industry standards
• Identify vulnerabilities and implement secure coding and architecture practices
• Ensure secure and efficient data flow across distributed systems

Qualifications

Educational Background

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field

Experience

• 8+ years of hands-on experience building SaaS-based software products and platforms
• 4+ years of hands-on experience with GoLang
• Proven expertise in architecting distributed systems, microservices, and event-driven platforms
• Experience building scalable, high-performance SaaS applications

Technical Skills

Programming Languages

• Strong expertise in:
• GoLang
• Java (preferred)
• Python (plus)

Distributed Systems & Messaging

• Strong experience with:
• Kafka
• JMS
• NATS
• Deep understanding of event-driven and real-time architectures

Cloud & Infrastructure

• Hands-on experience with:
• AWS
• Azure
• GCP
• Experience designing secure, scalable, and cost-efficient cloud architectures

Databases & Storage

• Strong experience with:
• MySQL
• Redis / Memcached
• Knowledge of NoSQL and distributed storage systems is a plus

DevOps & Platform Engineering

• Strong understanding of:
• CI/CD pipelines
• Docker
• Kubernetes
• Experience with automation, orchestration, and infrastructure scalability

Security & Reliability

• Strong understanding of:
• Secure coding practices
• Vulnerability mitigation
• Compliance standards
• Experience building:
• Self-healing systems
• Fault-tolerant architectures
• High-availability platforms

Preferred Traits

• Excellent problem-solving and system design skills
• Strong logical thinking and architectural decision-making abilities
• Passion for scalable distributed systems and AI-driven applications
• Strong understanding of product lifecycle management and software delivery processes
• Ability to thrive in a fast-paced startup environment

Why Join Us?

• Work on cutting-edge Generative AI and large-scale distributed systems
• Build next-generation data observability and orchestration platforms
• Be part of a fast-growing startup shaping the future of AI-powered applications
• Contribute to systems processing massive-scale real-time data workloads
• Collaborate with highly skilled engineers and architects solving complex technical challenges