Lead Software Engineer

Tential Solutions is seeking a Lead Software Engineer with strong technical leadership skills to guide the design and development of innovative full-stack solutions. This role involves hands-on technical contributions, team leadership, and strategic direction for business-critical surveillance systems that protect market integrity.

Responsibilities:

• Technical Leadership: Lead the design and architecture of complex, distributed systems based on business needs; define technical direction, evaluate new technologies, and drive adoption of best practices
• Team Mentorship: Guide and mentor senior and mid-level engineers, fostering their technical growth through code reviews, technical guidance, and career development
• Full-Stack Development: Design and build critical enterprise applications leveraging Java, JavaScript/Angular, Spring Boot, REST/Web Services, and big-data technologies
• Cloud-Native Architecture: Architect and implement highly scalable, resilient solutions on AWS leveraging serverless and container technologies (Lambda, ECS, S3, RDS, EMR)
• Agile Collaboration: Partner closely with architects, principal engineers, product owners, and management to align technical execution with business objectives and translate requirements into robust solutions
• Distributed Systems Expertise: Lead initiatives involving microservices, event-driven architectures, and big-data technologies across the team
• AI Integration Leadership: Drive initiatives to leverage AI technologies (generative AI, LLMs, AWS AI services) for both developer productivity and product innovation
• DevOps Excellence: Champion CI/CD, infrastructure as code, automated testing, and observability practices across the team
• Innovation & Strategy: Drive POCs, evaluate emerging technologies, and lead adoption of innovations that provide competitive advantage
• Cross-Team Influence: Collaborate with other teams and leaders to share knowledge, establish engineering standards, and drive organization-wide technical initiatives
• Ownership & Quality: Set the standard for code quality, tackle the most complex technical challenges, and demonstrate strong ownership and self-starter mentality

Requirements:

• Education: Bachelor's Degree in Computer Science or other relevant Engineering discipline (Master's preferred)
• Leadership Experience: 10+ years in software engineering with 3+ years in technical leadership or lead engineer roles demonstrating team mentorship and architectural decision-making
• AI Experience: Proven experience leading AI integration initiatives and leveraging AI technologies to drive developer productivity and incorporate AI capabilities into software solutions
• Software Engineering: 10+ years of experience building full-stack software using Java, JavaScript, REST/Web Services, Angular, and Spring Boot
• Cloud Expertise: 7+ years of experience architecting and building solutions on AWS Cloud (ECS, Lambda, RDS, S3, EMR, etc.)
• Big Data: 5+ years of experience working with big data technologies such as Hadoop, Spark, Presto, or AWS EMR
• Database Skills: 5+ years of experience designing schemas, writing complex SQL queries, and optimizing database performance
• Scripting: Strong proficiency in Unix shell, Python, Perl, Groovy, or similar scripting languages
• Communication: Strong technical communication skills including documentation, presentations, and stakeholder management
• Extensive experience designing and architecting enterprise-scale systems with complex business requirements
• Deep understanding of AWS Well-Architected Framework with ability to conduct architecture reviews
• Experience architecting and leading AI/ML initiatives including production GenAI applications; familiarity with MLOps practices, LangChain, vector databases, or RAG architectures
• Expert-level experience designing and implementing CI/CD pipelines at scale and DevOps practices
• Production experience with containerization technologies (Docker, Kubernetes/EKS) and container security
• Advanced experience with infrastructure as code (Terraform, CloudFormation, CDK)
• Strong background in monitoring, observability, and SRE practices (CloudWatch, Datadog, Splunk, Prometheus, Grafana)
• Expert knowledge of microservices, event-driven architectures (Kafka, Kinesis, SQS, SNS), and distributed systems patterns
• Deep understanding of secure coding practices, OWASP, and AWS security best practices (IAM, KMS, Secrets Manager)
• Proven track record leading business-critical, large-scope projects with multiple stakeholders
• Experience influencing without authority and driving consensus across technical teams
• Track record of innovation through patents, publications, open-source contributions, technical thought leadership, or POCs
• Experience conducting technical interviews and participating in hiring decisions