Platform Engineer

Synergy Business Innovation & Solutions is a premier implementer of cutting-edge software solutions. Synergy brings the experience and expertise necessary to deliver capability that provides tangible ROI to our customers. Synergy’s core areas of expertise are in the fields of Digital Transformation, Cloud Solutions, SaaS and Low-Code/No-Code solutions, Emerging Technologies, Data analytics and Visualization, Information Assurance, and Business Process Re-Engineering.

Synergy offers its employees a generous portfolio of core and voluntary benefits including: group medical, dental, and vision insurance, company paid life, short-term, and long-term disability insurance; HSA, FSA; 401(k) with immediately vested company match; PTO/Sick Leave, 11 paid federal holidays, parental leave; tuition and training reimbursement; a referral bonus program; and life management programs.

At Synergy, you’ll be challenged and given the opportunity to grow in your career path. In fact, growth is such a big deal to us that you will have dedicated career coaches available for every employee, company-funded certification opportunities, education reimbursement, and a general open-door policy so that you have support when you need it. Our team is eager to learn, fast-paced, and quality-driven—if that sounds like you, Synergy has a position for you!

This position is designated as work-from-home.

Description: 

• 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.

• Develop, maintain, and optimize complex automation scripts primarily written in Python to support platform deployment and management.
• Write and maintain custom Dockerfiles to create efficient and secure container images.
• Design, develop, and maintain Helm charts to deploy applications and infrastructure components.
• Write tests for an test helm-charts thoroughly for each release cycle.
• Deploy, manage, and troubleshoot Helm charts across dozens of Kubernetes instances/environments ensuring high availability and consistency.
• Implement and manage configuration-as-code frameworks to ensure system configurations are reproducible and version controlled.
• Develop, maintain, and optimize automated CI/CD pipelines using GitLab CI/CD, integrating with other tools and services as needed.
• Collaborate with development, operations, and QA teams to ensure seamless integration of automation into the platform’s lifecycle.
• Document automation processes, deployment procedures, configurations, and standards clearly and comprehensively.
• Monitor, review, and optimize platform performance and automation workflows; troubleshoot issues proactively.
• Stay current with industry best practices, tooling, and emerging technologies related to automation, container orchestration, and CI/CD.

• 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.

• 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.

• Ability to attain Federal Government Position of Trust.
• Must be a U.S. citizen
• Must pass a background investigation.

• 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. 

Compensation for roles at Synergy varies depending on a wide variety of factors including but not limited to the requirements of the role; education and certifications; knowledge, training, skills and abilities; level of experience; geographic location; and alignment with market data, law, and other business and organizational needs. As required by local law, the posted pay range represents the lowest to the highest pay that Synergy believes in good faith it might pay for this particular job, depending on the circumstances. The disclosed range estimate 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.

Essential Job Function Physical Requirements: The physical requirements of this position are critical in evaluating the qualifications and abilities of an applicant or employee. The physical efforts needed to perform the essential duties of this job 90% of the time are repetitive motions, grasping, holding, and finger dexterity of the hands, reading, writing, eye-hand coordination, color distinction, and full visual abilities, hearing, talking, sitting, and use of IT equipment, phones, and office machines.

To a reduced degree, <30% of the time, candidates may have to stand, walk, lift 0-30 pounds, push or pull objects, climb stairs, bend, squat, reach, drive a car, or work overtime.

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.