Staff Engineer responsible for designing, developing, testing, and operationalizing secure, scalable API-based systems on AWS. The role requires hands-on Java development, cloud-native microservices, event-driven architectures, data pipelines, API integrations, SQL and NoSQL data management, CI/CD, monitoring, documentation, and regulatory compliance. The engineer will lead architecture efforts, collaborate across teams, manage sensitive data, and deliver commercial software across multiple projects.
Responsibilities:
- Hands-On active contribution as a leading member of software engineering teams focused on building API based systems delivering highly secure, efficient and robust solutions in an aggressive timeframe.
- Develop highly scalable and reliable systems supporting consumer and data centric products and services on an AWS cloud-based platform
- Integrate 3rd Party and Internal API, async, and file-based services utilizing CSV, JSON, or XML data
- Contribute to deliverables from ideation thru testing/validation and production operationalization
- Drive design/architecture and collaborate with other team members
- Diligently observe and maintain Standards for Regulatory Compliance and Information Security
- Without fail deliver and maintain accurate, complete and current documentation
Qualifications:
- 8 to 10 years of software development experience building and testing applications with secure coding practices including some experience leading development efforts or contributing to architecture
- Currently hands-on collaboration on a team developing significant commercial software project in cloud native Java
- Proven proficiency developing in server-side Java and/or Netty applications using mainstream frameworks such as Spring Boot, Spring Cloud, and Reactor-Core.
- Current cloud technology experience, preferably AWS (Kubernetes, Fargate, S3, MKS, Lambda, etc)
- A current working understanding of microservices, event driven techniques, and data pipelines
- A strong proven proficiency in SQL and NoSQL based data access and management
- Familiarity with async messaging, logging or queues, such as Kafka, NATS, SQS, RabbitMQ.
- Recent experience managing PII/secure/sensitive data
- Demonstrable familiarity with CI/CD process, testing frameworks and practices (Code Commit, Code Deploy, Code Pipeline, CLI, etc.)
- Strong understanding of best design and software engineering practices, design principles and patterns and unit testing.
- Proficiency in developing easily monitored at the system and business operations level
- Comfortable in a dynamic environment, with ability and willingness to adapt to various technologies and simultaneously work on multiple projects
Additional information
Additional Preferred Experience
- Extensive experience building systems for financial services or tightly regulated businesses.
- Mass-market retail online consumer product experience
- Security and privacy compliance (GPDR, CCPA, ISO 27001, PCI, HIPAA, etc.) experience a plus
Similar Jobs
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Leads technical storytelling and executive advocacy for Datadog, creating event programs, presentations, demos, blogs, webinars, documentation, and other content. Partners with product and engineering leaders, coaches executives on public communication, represents Datadog at technical events, collaborates with organizers and customers, and provides product feedback. The role requires extensive software development or SRE experience, senior technical leadership, content creation, public speaking, coaching, and conference experience.
Top Skills:
DatadogDevOpsObservabilityOpen SourceSecurity
Healthtech • Pet
Integrate and fine-tune existing AI models within production software, evaluate model performance, build evaluation frameworks, configure observability, develop Python AI features, and troubleshoot real-world performance. Collaborate with data science, engineering, the CTO, and cross-functional teams to improve products and identify AI innovation opportunities. This role focuses on applying existing models rather than designing new machine learning models.
Top Skills:
Agent HarnessesAgent SdksAi Model Fine-TuningAi ModelsBackend TechnologiesModern Web FrameworksObservability PlatformsPython
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop guidance, navigation, and control algorithms for advanced aircraft in a blue-sky defense project. Responsibilities include vehicle dynamics modeling, flight-control design, simulation, real-world control-system tuning and optimization, and applying modern control theory. The role requires strong aircraft dynamics and handling-qualities expertise, production C++ experience, and MATLAB/Simulink proficiency. Candidates must be able to obtain a Secret clearance and collaborate effectively in a fast-moving engineering environment.
Top Skills:
Adaptive ControlC++Continuous Integration And Continuous DeliveryGitKalman FiltersLqr/LqgMatlabModel Predictive ControlRobust ControlSimulinkSystem Identification
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
