Manager, Software Engineering

• Develops, manages, and retains a team of highly-inquisitive technologists. Oversees the design, development and implementation of multiple engineering projects.
• Collaborates with architects, product managers and other technical or non-technical stakeholders to define design approaches that are aligned with the customer-centric product vision.
• Identifies and mitigates engineering risks. Ensures engineering and documentation best practices are understood and followed.
• Ensures successful incremental product releases while driving to deadlines and optimizing investments.
• Assures quality through efficient management of team, processes and resources. Evaluates and limits risk and vulnerabilities during the software development process by consistently employing industry best-practices.
• Stays updated with latest advancements in engineering technology and industry trends., * Utilization of Microservice development & design patterns, NoSQL Databases, AWS Cloud, and CICD pipelines;
• Programming in Java, Python, Kotlin, Hadoop, Hive, C++, nodejs, angular, react as well as AWS and Openshift to design, develop and construct applications;
• Developing applications using Hadoop technology stack that includes Hadoop Map Reduce, Spark, HDFS, Hue, Sqoop and Hive, JAVA, Spring and usage of well-known Java IDE like Eclipse, NetBeans, IntelliJ;
• Utilizing Kubernetes and UNIX software to deploy and run applications;
• Conducting performance monitoring, capacity planning, system tuning, availability planning, analysis and documentation of information to create the applicable statements of work and the associated deliverables;
• Utilizing SQL and PL/SQL with databases, including Oracle and MySQL;
• Utilizing NoSQL, MONGO, CASSANDRA, HBASE, and HIVE databases to handle application data, database queries and optimization;
• Architecting cloud native applications using Microservice design patterns and 12 factor app methodologies;
• Building Event driven systems with Event sourcing using KAFKA;
• Utilizing design patterns, including MVC, Session, Business Delegate, Subscriber, Singleton and DAO;
• Utilizing UML diagrams, including Use Case Diagram, Activity Diagram, Class Diagram, Component Diagram, and Sequence Diagram with tools, including Rational Software Architect, Microsoft Visio, DRAW and Astah; and
• Performing unit, system, integration, and regression testing with tools, including IntelliJ, Junit., Artificial Intelligence * Cloud * HR Tech * Information Technology * Productivity * Software * Automation Lead the Software Asset Management engineering team, set technical direction, manage product development and release cycles, drive AI/ML and telemetry initiatives, improve test automation and performance, mentor engineers, coordinate cross-functional and global teams, and ensure scalable, high-quality enterprise solutions with 24x7 support alignment. Top Skills: AgileAIAutomation FrameworksC++JavaJavaScriptMachine LearningOpen Source ToolsPerformance TestingRubyShellTelemetryTest Automation Optum

Requires a Master’s degree in Computer Science, or related field, and eight (8) years of experience in the position offered, Director of Engineering or related position.

2 Days Ago In-Office or Remote 150K-232K Annually Mid level 150K-232K Annually Mid level Aerospace * Information Technology * Software * Cybersecurity * Design * Defense * Manufacturing Manage and mentor an embedded software team developing reusable, certifiable Linux-based product lines for safety-critical and non-safety-critical systems. Drive technical planning, integration with program teams, adherence to DO-178C and SDLC, implement DevSecOps practices, and standardize metrics and reporting across stakeholders. Top Skills: DevsecopsDo-178C/Do-178BHypervisorsIndependent Verification & Validation (Iv&V)LinuxLinux KernelReal-Time Operating Systems (Rtos)SdlcUnikernel, ServiceNow, 4 Days Ago Remote or Hybrid 167K-291K Annually Senior level 167K-291K Annually, 5 Days Ago In-Office or Remote 113K-193K Annually Senior level 113K-193K Annually Senior level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Lead design and delivery of scalable backend services, event-driven microservices, data pipelines, and AI/ML features. Ensure production readiness (CI/CD, testing, monitoring), optimize databases, mentor engineers, and collaborate cross-functionally to deliver roadmap initiatives. Top Skills: AWSAzureCassandraCi/CdDockerGCPGrpcJavaKafkaKubernetesLlmsMlopsMongoDBMonitoring/AlertingMySQLOraclePgvectorPineconePostgresPrompt OrchestrationPythonRestVector SearchWeaviate

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute