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Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation’s security. In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our E mployees, to our C ustomers and by Improving P erformance (ECP). It’s what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results—showing we’re ready to meet our customers’ evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. Position Overview We are seeking a highly experienced and technically proficient Senior DevOps Engineer to play an integral role in our team, focusing on deploying infrastructure and engineering workflows and processes to support enterprise AI rollouts. This position requires deep expertise in DevOps principles, including containerization, CI/CD pipeline architecture, and AI model lifecycle management. The ideal candidate will be adept at ensuring robust, scalable, and efficient deployment and maintenance of AI applications at an enterprise scale. What You'll Be Doing ● Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) ● Develop and optimize engineering workflows and processes to support AI model development, deployment, and maintenance. ● Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models and applications. ● Implement and manage containerization solutions using technologies like Docker and Kubernetes. ● Ensure efficient AI model lifecycle management, including versioning, monitoring, and scaling. ● Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization. ● Oversee system performance, security, and scalability of AI infrastructure. ● Continuously research and implement new DevOps tools and practices to enhance efficiency. Required Experience ● B.S. in a relevant technical field with 12 years of experience, or M.S. in a relevant technical field with 10 years of experience. ● Advanced proficiency in DevOps principles and practices. ● Demonstrated expertise in containerization using Docker and Kubernetes. ● Proven experience in architecting and managing CI/CD pipelines. ● Extensive experience with AI model lifecycle management and maintenance. ● Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management. ● Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). ● Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. ● Ability to translate complex technical concepts into actionable engineering solutions. ● TS/SCI with CI Poly. Desired Skills ● Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible). ● Understanding of machine learning concepts and their implications for infrastructure. ● Continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements. CLEARANCE REQUIRED: TS/SCI w/ Polygraph Other Requirements: U.S. Citizenship Compensation Spotlight: For this role, our typical salary range starts at $150,000 and stretches up to $250,000. But here's the deal – we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.