Secure Software Developer Jobs in Cambridge, MA (NOW HIRING)

Come and help defend the nation in cyberspace! In the Cyber Operations & Analysis Technology Group at MIT Lincoln Laboratory, we research challenging technical problems in cyber security, develop new technologies, and prototype first-of-a-kind systems. We have particular focus on enabling human operators and improving operational systems, orienting our work toward strong practical impact. We work across a variety of cutting-edge national-security applications:
Enhancing the cyber security and resilience of critical infrastructure and other operational technology
Quantifying risk posed by adversary cyber threats to key national security missions
Helping the nation’s cyber operators do their jobs better, faster, and at greater scale
Creating game-changing capabilities for defensive cyberspace operations
Protecting and defending emerging U.S. systems for conducting Joint All-Domain Command and Control (JADC2)
Developing techniques to coordinate actions for emerging mission scenarios combining cyber and other mission domains such as air, land, sea, and space
As an interdisciplinary group with blended differences, we innovate by drawing insights from computer science, software engineering, data engineering, data science, artificial intelligence/machine learning, electrical engineering, mathematics, statistics, physics, and allied technical fields. We collaborate with research partners across MIT, offering frequent opportunities to team and learn in new areas. If you want a career in R&D with the opportunity to have real impact on important problems, join us. The software engineers primary role as an implementer and integrator will be to:
Architect, develop, and deploy cloud native services using modern frameworks and container/orchestration technologies. Design and develop modern microservices (e.g. Python, Java, Node). Include API design, service implementation, testing and validation, security and deployment in a modern deployment infrastructure (e.g. Kubernetes, Istio)
Design and implement data integration pipelines to ingest, transform, adapt, and synchronize diverse data sources. (e.g. Apache NiFi, Kafka / Kafka Connect, Pulsar, Cribl)
Perform data analysis (e.g. SQL, Python Pandas) to understand and investigate cyber-related data
Create intuitive data visualizations and dashboards to communicate results clearly to technical and non technical stakeholders (e.g. Kibana, Superset, Grafana)
Infrastructure Automation and deployments with Docker, Ansible, Kubernetes and Terraform. This includes developing automation for configuration and deployment of the software services to AWS and ESX environments using containers and Ansible, and including infrastructure configuration with Terraform. This task also includes using automation to secure and harden deployed services.
The software engineer will also perform related testing, and compose, compile, and maintain documentation for users and administrators. A secondary role will be to assist the development team in the planning and execution of effective agile software development practices. Required:
Experience developing non-trivial applications using Python, Java, Angular, JSON, Maven
Experience with SQL
Experience with source code version control systems (i.e., git & Github)
Experience building secure software systems using secure software development best practices
Experience using (i.e. development for, configuration, deployment) Docker, Ansible, Kubernetes
Unit testing and integration testing
Developing, debugging, and executing software in a Windows and Linux environment.
Producing, editing and maintaining documentation aimed at users and other developers
Experience working in agile, scrum-based teams
Experience with software build systems (e.g. Bamboo, Jenkins)
Experience with user interface technologies (e.g. Javascript, HTML, CSS)
The software engineer must have a willingness to take on new technologies and work in areas and take on responsibilities that they are not necessarily an expert in.
The software engineer must be able to communicate, collaborate and work effectively within our JADC2 related systems. Preferred:
Experience with Python data analysis tools (e.g. Pandas)
Experience with Elastic Stack, Apache NIFI, Superset
Experience with middleware and messaging platforms (e.g. Kafka, ActiveMQ) Other:
Work location: Hybrid — Candidates should expect to be mostly onsite with flexibility to work from home 1-2 days/week. Clearance: Active clearance is preferred; however, MIT LL will consider candidates with the ability to obtain interim clearance for assignment. Interview: Interview procedures will be either onsite or via video conference and may consist of initial one on one and may advance to panel interview.