Gradient Securities Jobs in Maryland (NOW HIRING)

Job Number: R0236049 CNO Software Engineer The Opportunity: As a computer network operations (CNO) specialist, you know that embedded and application developers, reverse engineers, and vulnerability analysts all play key roles in the CNO capability development lifecycle. We're looking for someone like you to flex your problem-solving prowess in a rapidly evolving systems security research and development environment. As a lead CNO capability development specialist on our team, you'll oversee full project lifecycles. Leading an agile team of professionals, you'll guide reverse engineering and vulnerability analyses on a range of software problems. You'll inform operational parameters for complex systems, as well as leverage artificial intelligence and machine learning to influence the delivery of your work. Using your network operations expertise, you'll determine what the art of the possible is, what can be done, and then you'll bring it to life for your clients. Help us combat the most advanced adversaries and defend national security. Join us. The world can't wait. You Have: * 4+ years of experience with developing software in languages such as C/C++ or Rust
* Experience with vulnerability analysis and exploitation techniques
* Experience with analyzing and understanding network protocols with tools, such as Wireshark or tshark
* Experience with Linux operating systems
* Experience in working with software version control systems such as Git
* Knowledge of scripting languages, such as Python, Ruby, or BASH
* Ability to think critically through difficult technical software problems
* TS/SCI clearance
* HS diploma or GED Nice If You Have: * 4+ years of experience with embedded hardware and software development
* Experience with Golang
* Experience in developing FPGA or ASIC
* Experience in analyzing RF or Signals
* Knowledge of machine learning (ML) algorithm development techniques including gradient-boosted forests
* TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
* Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
* Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.