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Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
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Anthropic ApiApi GatewayAuroraAws LambdaCloudwatchEventbridgeIamJavaScriptLangchainLanggraphLlm FrameworksModel Context ProtocolMulesoftNode.jsOpenai ApiPythonRdsReactS3Salesforce Bulk ApiSalesforce Cpq (Steelbrick)Salesforce FlowSalesforce Platform EventsSalesforce Rest ApiSalesforce Streaming ApiSlack ApiSnsSOQLSqsTypescriptWorkato
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provide configuration and data management support for aerospace programs: process and track ECNs in Teamcenter, maintain release/configuration status, manage BOMs in Teamcenter and SAP, coordinate supplier/customer change notifications and data submittals, ensure PDM/ERP data quality, publish documents, support reviews/audits, and help meet aerospace cycle-time targets.
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Cloud • Security • Software • Cybersecurity • Automation
Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.
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Why This Role Matters:
The complexity of healthcare benefits makes decision automation critical. As a Rules Engine Engineer, you’ll be at the heart of this challenge — designing and implementing rules that determine what members can buy with their benefits. Your work directly shapes member experience, prevents misuse, and ensures compliance with Medicare regulations. If you enjoy building high-performance, logic-driven systems that solve tough real-world problems, this role is for you.
What You’ll Do:
- Own the rules layer: Design, implement, and optimize decision logic using Sparkling Logic SMARTS.
- Build real-time adjudication flows for transactions at grocery and pharmacy point-of-sale systems.
- Translate complex requirements into executable rules by collaborating with US-based product and compliance teams.
- Debug, test, and tune rules to handle edge cases, scale to high transaction volumes, and minimize false rejections/approvals.
- Version, deploy, and maintain rules with best practices for governance, traceability, and rollback.
- Continuously improve accuracy, performance, and maintainability of the adjudication rules engine.
What We’re Looking For:
- 2+ years hands-on experience with Sparkling Logic SMARTS (preferred) or other business rules engines (Drools, ODM, Blaze, etc.).
- Strong grasp of decision modeling (DMN), rule authoring, and lifecycle management.
- Solid programming/scripting skills for integration (Java, Python, or similar).
- Ability to debug distributed systems and reason through complex rule interactions.
- Experience in fintech, healthcare, or other transaction-heavy, regulated domains is a big plus.
- Strong communication skills — comfortable working with US teams across time zones.
- A mindset that balances engineering precision with business pragmatism.
What You’ll Get:
- The chance to work on mission-critical systems where every rule you write has immediate impact.
- Exposure to both fintech scale challenges and healthcare compliance complexities.
- A collaborative global engineering culture that values technical ownership and problem-solving.
- Competitive pay, growth opportunities, and the ability to help redefine healthcare payments.
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.



