Platform Engineer

We are seeking a skilled Platform Engineer to join our team to design, build, and maintain robust automation and deployment frameworks. The ideal candidate will have strong expertise in Python scripting, containerization technologies (Docker), Helm chart development, and CI/CD pipeline automation. This role involves deploying and managing complex helm charts across multiple environments, maintaining configuration-as-code repositories, and collaborating closely with development teams to ensure smooth and scalable platform operations.

Primary Responsibilities:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Strong proficiency in Python scripting with experience writing complex automation scripts.
• Hands-on experience writing and maintaining custom Dockerfiles and managing containerized applications.
• Demonstrated expertise in Helm chart development, templating, and management.
• Experience deploying, upgrading, and managing Helm charts across multiple Kubernetes clusters or environments.
• Solid understanding of Kubernetes concepts and ecosystem.
• Experience in setting up and maintaining CI/CD pipelines, preferably GitLab CI/CD.
• Familiarity with configuration-as-code tools (e.g., GitOps practices, Helm values management, Kustomize, or similar).
• Strong understanding of version control systems, primarily Git.
• Excellent troubleshooting, problem-solving, and analytical skills.
• Strong written and verbal communication skills with an emphasis on clear documentation and cross-team collaboration.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Strong proficiency in Python scripting with experience writing complex automation scripts.
• Hands-on experience writing and maintaining custom Dockerfiles and managing containerized applications.
• Demonstrated expertise in Helm chart development, templating, and management.
• Experience deploying, upgrading, and managing Helm charts across multiple Kubernetes clusters or environments.
• Solid understanding of Kubernetes concepts and ecosystem.
• Experience in setting up and maintaining CI/CD pipelines, preferably GitLab CI/CD.
• Familiarity with configuration-as-code tools (e.g., GitOps practices, Helm values management, Kustomize, or similar).
• Strong understanding of version control systems, primarily Git.
• Excellent troubleshooting, problem-solving, and analytical skills.
• Strong written and verbal communication skills with an emphasis on clear documentation and cross-team collaboration.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications:

• Experience with other programming languages (Java, Go, etc.).
• Knowledge of other container orchestration frameworks or cloud platforms (e.g., OpenShift, AKS, EKS, GKE).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
• Understanding of security best practices in containerized deployments (image scanning, secrets management, RBAC).
• Experience with chaos engineering or automated testing within CI/CD pipelines.
• Contributions to open-source projects or Helm charts are a plus.
• Certifications related to Kubernetes (CKA/CKAD), Docker, or DevOps practices.

Education and certification Requirements:

• A BS degree in Information Technology, Cybersecurity, Data Science, Information Systems, or Computer Science, from an ABET accredited or CAE designated institution fulfills the educational requirement . 
  Note: The U.S. Department of Education Database of Accredited Postsecondary Institutions and Programs located at https://amspub.abet.org/aps/name-search?searchType=institution identifies accredited postsecondary institutions. In Lieu of education requirement listed, candidate must have the required certification or will obtain required certification within 6 months of the start date. Certification requirement(s) for this role is AN IASAE II certification (CASP+CE, CLSSP associate) or CSSLP. 

Citizenship & Clearance Requirements:

• Ability to attain a secret clearance.
• Must be a U.S. citizen 
• Must pass a background investigation. 

Target Salary Range: $102,298.00-$146,140.00

Compensation for roles at Synergy is determined by a variety of factors including, but not limited to, the requirements of the role; level of experience; education and certifications; the individual’s combination of knowledge, skills, and abilities; as well as alignment with market data, federal and state laws, and other business and contract considerations. The estimated pay range for this position is: $low – $high. The disclosed range has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. It is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case and represent just one component of Synergy’s total compensation package for employees. 

Candidate AI Policy

Synergy is committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate evaluation 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 granted. 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.

Synergy is an equal opportunity employer and does not discriminate against applicants for employment or its employees on the basis of age, race (including hair texture/style), creed, color, religion, religious creed, ancestry, national origin, ethnic origin, sexual orientation, gender identity or expression, military or veteran status, sex, medical condition, pregnancy (childbirth, breastfeeding, and related medical conditions), physical or mental disability, personal appearance, organ donation and hair length associated with race, genetic information or characteristics, family responsibilities, familial status, marital status, citizenship or immigration status, status as a victim of domestic violence, a sexual offense, or stalking, political affiliation, arrest records and criminal convictions, credit information, matriculation, homeless status, or any other characteristic protected by federal, state and local law. Discrimination or harassment based upon these protected categories is expressly prohibited. This policy applies to all aspects of employment, including job selection, assignment, promotion, compensation, benefits, training, discipline, and termination.