Lead engineering team for Sightline ADAPT, overseeing product strategy, technical direction, and cloud operations while managing a growing team of software and data engineers.
Compensation
$131,256.00 - $223,134.00
Responsibilities
Directly manage a team of software and data engineers, including hiring, coaching, and performance management
Set engineering standards for coding, testing, documentation, version control, and release management
Guide major technical decisions and roadmap for enterprise-grade analytical products
Lead delivery from discovery through production deployment and ongoing support
Establish AI-first approach for software development and product innovation
Requirements
Bachelor’s degree in a relevant technical field
Nice to have: Master’s degree in computer science, software engineering, data science, information systems
Design, develop, test, document, implement, and maintain DROP components across the user interface, APIs, data services, and analytical workflows
Build capabilities for customer and device assignments, cohorting, program planning, telemetry processing, baselines, performance analysis, reporting, and related demand-response workflows
Refactor and modernize existing code to improve maintainability, performance, modularity, security, and reuse
Lead design decisions, code reviews, troubleshooting, and implementation guidance while coordinating broader technical decisions with the engineering team
Mentor contributing engineers and analytical developers assuming formal people-management responsibility
Requirements
Bachelor’s degree in computer science, software engineering, data engineering, engineering, or a related technical field
Nice to have: Master’s degree in computer science, software engineering, data science, information systems, or a related field
The Principal Test Engineer is a technical authority responsible for advancing software quality across assigned products and projects.
Responsibilities
Own and influence test strategy for complex products, major features, and cross-functional projects.
Develop test plans, estimates, coverage approaches, and risk assessments for new functionality and product releases.
Establish appropriate testing approaches based on product risk, customer impact, technical complexity, and release requirements.
Drive automated testing and use AI-assisted development tools to build, maintain, and improve reliable test automation, validating generated code and tests to strengthen coverage and accelerate feedback.
Lead functional, integration, system, regression, exploratory, and non-functional testing activities.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
Design, develop, enhance, test, and maintain web-based applications for a government customer using C#/.NET, JavaScript, SQL, and AWS.
Compensation
The proposed salary range for this position is: $103,800 - $218,100
Responsibilities
Design, develop, enhance, test, and maintain web-based applications, including custom, commercial off-the-shelf (COTS), and government off-the-shelf (GOTS) solutions.
Collaborate with analysts, UI/UX developers, subject-matter experts, and technical teams to translate requirements into effective solutions.
Participate in peer code reviews, share technical knowledge, and incorporate feedback to improve code quality, consistency, security, and maintainability.
Estimate development efforts and evaluate technical feasibility, risks, dependencies, resource needs, and operational impacts.
Define and own the enterprise data architecture vision, roadmap, and standards, aligned to long-term business goals. Lead Enterprise Data Model strategy and Operational Data Store design. Establish data governance processes, modeling standards, and data quality procedures.
Compensation
The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).
Responsibilities
Define and own the enterprise data architecture vision, roadmap, and standards
Lead Enterprise Data Model strategy and Operational Data Store design
Establish data governance processes, modeling standards, and data quality procedures
Serve as the in-house data authority — enforce integration standards, documentation, and best practices
Lead the phased migration from legacy Sybase to a modern AWS microservices architecture, such as PostgreSQL Aurora, DMS, or Lambda
Requirements
HS diploma or GED
Bachelor’s degree in Computer Science or a related field preferred
Master’s degree in Computer Science or a related field
Lead the design, architecture, and development of a scalable gamification layer for an iGaming platform, leveraging AI-assisted tools and building a potential engineering team.
Responsibilities
Own backend architecture and development
Translate game design documents into technical solutions
Build gaming mechanics and engagement features
Design integrations with casino platforms and third-party services
Develop high-load backend systems with focus on performance, security, and data consistency
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