AFS is seeking a Site Reliability Engineer to join our team and support our client on a full-time basis in Reston, VA or Annapolis Junction, MD.
This role requires a technically skilled professional with strong hands-on experience across programming, database management, containerization, virtualization, and security practices. The ideal candidate will bring a solid foundation in multiple programming or scripting languages, demonstrate proficiency in SQL and modern database technologies, and show practical capability with container or virtualized environments. Candidates must also have proven experience implementing security and compliance measures, including vulnerability scanning, governance tools, and secure data or API handling. This position is suited for someone who can apply broad technical expertise to support reliable, secure, and efficient systems within a dynamic environment.
Here's what you need:
- BS or MS degree in Computer Science, Computer Engineering, Cybersecurity or other related technical field
- Experience with programming and scripting languages such as: Python, SQL, Bash, Java, C, or C++
- Experience with SQL and database technologies, including hands‑on use of tools or platforms such as SQL Developer, PostgreSQL, or MongoDB
- Experience with containerization or virtualization technologies, such as Kubernetes (K9s), Docker, or virtual machine environments
- Experience with security and compliance practices, including vulnerability scanning tools (e.g., Nessus), governance/compliance tools (e.g., GRC), or secure data/API handling aligned with frameworks like GDPR
Bonus points if you have:
- Strong communications and problem-solving skills
- Provide on-call support 24/7 availability no more than one week every two months troubleshooting and mitigating issues across multiple systems
- DoD 8570 Baseline Certifications (e.g., Security+, CySA+, CASP+, CCSP, etc.), CompTIA Server+ and/or CompTIA A+ certifications
Clearance:
- Must have an active TS/SCI with polygraph level clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Skills Required
- BS degree in Computer Science or Computer Engineering
- Minimum 5 years relevant professional experience
- Strong SQL experience
- Strong Python experience
- Experience with Azure Data Factory and/or Azure Synapse
- Experience with Apache Spark
- Experience with Azure Data Explorer
- Experience with Azure Blob Storage
- Kusto Query Language (KQL) experience
- Git experience
- JSON experience
- PowerShell experience
- C# experience
- Familiarity with core cloud computing concepts (Azure preferred)
- Understanding of Public Key Infrastructure (PKI)
- Valid US Passport
- TS/SCI with Polygraph clearance
- Strong communications and problem-solving skills
- Willingness/ability to provide on-call support (24/7 rotation as described)
- DoD 8570 Baseline certifications (e.g., Security+, CySA+, CASP+, CCSP) or CompTIA Server+/A+
What We Do
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture LLP. It empowers US federal agencies to reinvent their operations and deliver missions faster using technology and AI. By leveraging mission expertise and commercial innovation, the company provides solutions in cloud, data, and cybersecurity to help the government make the nation stronger, safer, and more resilient.

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