Build software delivery from design through production, measurement and ongoing quality. Develop and debug software across backend and frontend with distributed systems awareness. Use AI agents for activities including code generation, testing, specification writing and deployment. Evaluate and improve agent workflows, prompts, rules and supporting engineering tools. Build production quality, monitoring and debugging while contributing to shared tooling and engineering knowledge.
Compensation
At Entain India, we offer a package and the support people need to make an impact. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like: Safe home pickup and home drop. A regular bonus and great pension. 24 days annual leave. Extra paid leave, including wellbeing and development days. Life assurance and Income Protection. Private healthcare and wellbeing support. INR 3,000 per month Communication allowance. Up to INR 16,000 per year in Crèche expenses (children under 3).
Responsibilities
Build software delivery from design through production, measurement and ongoing quality.
Develop and debug software across backend and frontend with distributed systems awareness.
Use AI agents for activities including code generation, testing, specification writing and deployment.
Evaluate and improve agent workflows, prompts, rules and supporting engineering tools.
Build production quality, monitoring and debugging while contributing to shared tooling and engineering knowledge.
Build and maintain internal applications and automation systems for Recruiting, HR, Finance, Operations and other business functions using AI-powered workflows and LLMs.
Responsibilities
Build and maintain internal applications and automation systems for Recruiting, HR, Finance, Operations and other business functions
Identify manual processes that can be automated and define technical solutions based on business requirements
Develop AI-powered workflows using LLM APIs, agents and external tool integrations where appropriate
Build backend services, APIs, databases and interfaces to support internal applications
Integrate internal systems and third-party platforms to automate data processing, approvals and routine tasks
A hands-on, 100% individual contributor role within the IT Software Engineering team focused on building internal applications that replace paid SaaS tools, serving as reference architecture for Elastic's own products. The role involves end-to-end ownership from shaping problems and design to shipping and maintenance, specifically focusing on backend systems, data connectors, authorization, and search using AI-assisted agents.
Locations (4)
Seattle, Washington, United States
Los Angeles, California, United States
San Francisco, California, United States
New York City, NY, United States
Compensation
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. $133,100—$210,600 ... $159,900—$252,900
Seeking a Backend Engineer with end-to-end ownership of core backend systems to scale ledgers, card network integrations, and financial infrastructure.
Responsibilities
Scale the core ledger that tracks both digital and physical money movement
Scale our card network integrations that power in-store payments
Build and maintain complex reconciliation infrastructure
Build and scale financial reporting & accounting integrations
Seeking an experienced and hands-on Senior Software Engineer to design and build end-to-end networked systems for autonomous air defense, from small embedded devices to full compute systems operating over denied, degraded, and intermittent links.
Responsibilities
Own the end-to-end design of how systems connect and communicate: topology, links, transports, delivery semantics and failure behaviour
Build addressing plans, routing, segmentation and multi-homing across tactical radio, cellular, satcom and wired links
Implement IPsec/IKEv2 or WireGuard overlays with certificate authentication from hardware-backed keys
Design how trust propagates from production to the field: device identity, certificate lifecycle, mutual authentication, authorisation tiers
Design and build the node agent that runs on every node and exposes identity, health, software state, connectivity and updates
Requirements
Degree in Computer Science, Electrical Engineering or a related field
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Locations (4)
Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States
Responsibilities
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Senior Software Engineer - Accelerated Kubernetes Runtime Team
Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention, build and maintain systems that configure, package, validate, and distribute accelerated compute components, and develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Design and implement runtime features that orchestrate the lifecycle of runtime components across thousands of Kubernetes clusters without manual intervention
Build and maintain systems that configure, package, validate, and distribute accelerated compute components
Develop Kubernetes controllers, CRDs, and operators that automate runtime installation, upgrade, and rollback operations with API driven workflows
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion
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