Design, build, and operate backend services and APIs for production systems; support deployments (including on-prem and TS/SCI environments); debug integrations; contribute full-stack features as needed; travel occasionally for customer integrations; improve system reliability and performance.
Smack Technologies is a defense-focused AI company building software that helps government teams plan, train, and operate more effectively. We create production systems that combine advanced simulation, data, and engineering to solve complex real-world problems.
Tasks
Design and build backend services that power core product and platform capabilities.
Develop and maintain APIs used by internal systems and user-facing applications.
Contribute to full-stack features when the product needs require it.
Support deployment, configuration, and operation of services in TS/SCI and on-prem environments.
Debug and resolve issues across services, deployments, and integrations.
Work closely with engineers to turn ambiguous requirements into working systems.
Travel periodically to support customer integrations and on-site deployments.
Continuously improve system reliability, performance, and maintainability.
Requirements
Professional experience building and operating production software systems
Strong backend engineering experience with some exposure to full-stack development
Proficiency in Python or Go in a professional environment
Experience with at least one strongly typed language such as Go, Java, C#, or C++
Experience developing and maintaining APIs (REST, gRPC, GraphQL, or similar)
Experience supporting deployed services, including basic deployment, scripting, or operational tasks
Exposure to Kubernetes or similar orchestration tools
Ability to operate effectively in ambiguous problem spaces and help clarify requirements
Experience working in collaborative, fast-moving engineering teams
Benefits
Competitive salary and equity
Medical, dental, and vision insurance
401(k) retirement plan
Paid time off and company holidays
If you want your work to move beyond development and into real operational use, we encourage you to apply.
Tasks
Design and build backend services that power core product and platform capabilities.
Develop and maintain APIs used by internal systems and user-facing applications.
Contribute to full-stack features when the product needs require it.
Support deployment, configuration, and operation of services in TS/SCI and on-prem environments.
Debug and resolve issues across services, deployments, and integrations.
Work closely with engineers to turn ambiguous requirements into working systems.
Travel periodically to support customer integrations and on-site deployments.
Continuously improve system reliability, performance, and maintainability.
Requirements
Professional experience building and operating production software systems
Strong backend engineering experience with some exposure to full-stack development
Proficiency in Python or Go in a professional environment
Experience with at least one strongly typed language such as Go, Java, C#, or C++
Experience developing and maintaining APIs (REST, gRPC, GraphQL, or similar)
Experience supporting deployed services, including basic deployment, scripting, or operational tasks
Exposure to Kubernetes or similar orchestration tools
Ability to operate effectively in ambiguous problem spaces and help clarify requirements
Experience working in collaborative, fast-moving engineering teams
Benefits
Competitive salary and equity
Medical, dental, and vision insurance
401(k) retirement plan
Paid time off and company holidays
If you want your work to move beyond development and into real operational use, we encourage you to apply.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and scale Moveworks AI cloud infrastructure and developer platform across regions. Implement CI/CD, infrastructure as code, Kubernetes/Istio deployments, ensure security, reliability, observability, and cost optimization while partnering with platform, ML, data, and security teams.
Top Skills:
AnsibleAWSAws KmsAws VpcCertificate ManagementCi/CdCloudFormationDnsElastic Load BalancerEncryptionHelmIamIstioJenkinsKubernetesObservabilityPenetration TestingTerraformVpnVulnerability Scanning
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, implement, and operate scalable ads delivery backend services. Own serving-time systems, collaborate with Product/ML/Infra, ensure availability and efficiency, use observability and automation, and apply AI-assisted workflows to ship production-quality code and optimize platform architecture.
Top Skills:
Ai ToolsAWSC++Cloud ComputingGCPJavaKubernetesMachine LearningMemcacheMicroservicesNatural Language ProcessingNoSQLPythonRedis
Artificial Intelligence • Cloud • Software
Perform deep security assessments of open source framework internals (routing, middleware, caching, build tooling), find and fix systemic vulnerability classes, own disclosure/CVE processes, triage and run OSS bug bounty reports, build preventive tooling (linters, codemods, CI), and harden supply chain practices for Vercel-maintained projects.
Top Skills:
CiCodemodsJavaScriptLintersNext.JsNitroNode.jsNuxtSigstoreSlsaSvelteSveltekitSwrTurborepoTypescriptWorkflow
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
