Lead a Compute Imaging engineering team within Foundational Imaging and Resources (FIR) to build and operate software services, distribution systems, and automation for OS and GPU image lifecycle.
Compensation
US: Hiring Range in USD from: $146,300 to $306,400 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Lead design, development, testing, deployment, and operation of software supporting image creation, qualification, publishing, distribution, and lifecycle management
Establish technical direction and translate customer, platform, and operational requirements into engineering deliverables
Participate in architecture, design, and code reviews
Challenge engineers on correctness, failure handling, scalability, performance, security, and maintainability
Evaluate alternatives, simplify designs, identify technical risks, and make implementation decisions
Build agentic offensive security tools: AI agents that find, validate and exploit vulnerabilities in applications, source code, cloud environments and infrastructure, the way a skilled red teamer would.
Responsibilities
Design and build production agentic systems that carry out security testing autonomously, covering planning, tool use, memory and multi-agent orchestration.
Turn attacker tradecraft into agent capability: translate attack techniques into tools, prompts, workflows and decision logic.
Build the tooling agents rely on, such as exploit harnesses, sandboxed execution environments, browser and API automation, and code analysis.
Build evaluation harnesses and benchmarks that measure how well agents find real vulnerabilities, how many false positives they raise, and what each run costs.
Reproduce and triage what the agents report, then feed the lessons back into the system.
Build the software behind some of the world’s most advanced radar systems.
Compensation
£100,000-£150,000 + pre-IPO stock options
Responsibilities
Build high-performance Python services that ingest, process and distribute real-time sensor data with low latency, high reliability and security at scale
Build the web apps (TypeScript and React) operators use to monitor live missions and investigate what the sensors saw
Design and build secure, scalable Azure services for distributed radar systems, defining the infrastructure as code and instrumentation for what you own
Work alongside software, hardware and systems engineers, and the teams who take these systems into the field
Influence architecture and help define the engineering foundations of a fast-evolving platform
Build the services and engines that answer complex health plan data questions, owning systems end-to-end from data ingestion to API response, focusing on provider network, eligibility, claims, and plan design within a HIPAA-regulated environment.
Compensation
The target base salary range for this position is $180,000 - $225,000 and is part of a competitive total rewards package including equity and benefits.
Responsibilities
Design, build, and run production APIs and backend services for provider search, eligibility, copay calculation, and claims adjudication support.
Design and operate batch and streaming pipelines to ingest payor files, API feeds, and event streams.
Build enterprise-grade, audit-ready systems for reliability, observability, and data quality in a HIPAA-regulated environment.
Scale by design, making onboarding new payors a configuration exercise.
Requirements
Nice to have: ML or agentic systems
Nice to have: Health plan or payor-side experience
Design and build tools and services for the Enterprise Decision Management (EDM) Rule Operations Tools team, focusing on the full rule lifecycle including authoring, simulation, access management, releases, and monitoring.
Responsibilities
Deliver complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations)
Advise immediate management on project-level issues
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working closely with team members to ensure that the software meets specific business requirements. Utilizing contemporary development frameworks and following agile methodologies, the engineer focuses on delivering scalable and efficient solutions that align with project goals and client expectations. Collaboration and continuous improvement are key aspects of the daily workflow, ensuring that the software evolves to meet changing needs.
Responsibilities
Perform independently and become an SME
Active participation/contribution in team discussions
Contribute in providing solutions to work related problems
Collaborate with cross-functional teams to gather and analyze requirements for custom software development
Maintain and update existing software components to improve performance and reliability
Senior Backend Engineer focused on mobile monetisation for Feeld’s subscription and in‑app purchase systems.
Responsibilities
Take ownership of backend systems supporting monetisation
Design, develop, and maintain scalable backend services and integrations for subscriptions, billing, payment processing, entitlements, pricing, and promotional features
Ensure accuracy, stability, and reliability of monetisation flows
Support development and optimisation of subscription and payment flows
Implement and maintain feature flags, testing, and analytics instrumentation
Design, develop, and scale high-performance network monitoring and observability platforms for RDMA, RoCE, InfiniBand, and TCP/IP infrastructure.
Compensation
For candidates hired at the posted level, the expected base salary range is $140,000 - $210,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork’s equity program and applicable approvals.
Responsibilities
Design, develop, and scale high-performance network monitoring platforms
Design, build, and maintain the systems that measure and improve the quality of Bask Health's AI-powered applications, focusing on evaluation infrastructure, automated testing, and production reliability.
Responsibilities
Design and build evaluation infrastructure for AI and machine learning applications across Bask Health.
Develop automated testing systems for large language model applications and intelligent workflows.
Establish measurable quality standards for production AI features.
Create evaluation pipelines that assess accuracy, relevance, completeness, consistency, and reliability.
Build and maintain representative datasets for testing AI application behavior.
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