We are seeking a Senior Software Engineer to lead front-end development efforts across our web platforms, focused on building modern, high-performance user interfaces with React and Next.js.
Compensation
The salary range for this role is 132,400 USD - 251,600 USD.
Responsibilities
Design, build, and maintain performant, accessible, and responsive web applications using React and Next.js
Architect and implement front-end integrations with RESTful and/or GraphQL APIs, including authentication, error handling, and data caching strategies
Provide ongoing support for existing Sitecore implementations (e.g., component updates, content-authoring support, minor troubleshooting)
Translate design mockups and product requirements into clean, maintainable, well-tested code
Optimize applications for speed, SEO, and cross-browser/device compatibility
As Attest's first dedicated Quality Engineer, you will build the quality practice from scratch, including automation, standards, tooling, and quality thinking.
Compensation
£75,000–£85,000 depending on experience, with equity options and comprehensive benefits.
Responsibilities
Set the direction for quality at Attest
Decide test strategy, coverage standards, definitions of done, and release confidence
Build the automation layer (greenfield automated testing)
Review proposals before code exists across every squad
Prioritize quality effort by risk and value
Requirements
Nice to have: Interest in evaluating AI or LLM-powered product features
Lead high-impact technical initiatives and shape products from discovery to delivery as a Senior Software Engineer on the Measure squad.
Compensation
We are able to offer between £85,000-£95,000 depending on experience, with equity options and comprehensive benefits.
Responsibilities
Lead high-impact technical initiatives: Own the design and delivery of complex features across the Measure product, from survey creation and fielding to insights visualisation, spanning frontend and backend.
Shape products from discovery to delivery: Partner closely with Product and Design during discovery, translating evolving requirements into pragmatic technical solutions that solve real user problems.
Extend the Measure experience end-to-end: Create robust, scalable systems using VueJS and TypeScript on the frontend, and Java (Spring Boot) or Python services on the backend, that handle streaming responses, dynamic visualisations, and complex state management.
Integrate seamlessly: Use OpenAPI contracts to build reliable integrations across survey-building, audience, and insights services.
Balance speed with sustainability: Ship quickly while maintaining high code quality, performance, and testability.
The Servers Agent Ops team builds and operates AI agent capabilities for Dell's server & networking organization, combining product product mindset with technical foundation to define and curate agent-based solutions.
Compensation
The salary range for this position is $147,200.00 - $202,400.00.
Responsibilities
Work with server teams to understand workflows and pain points and turn them into well-defined problems
Analyze data and processes to identify recurring patterns and automation opportunities
Define, curate, and prioritize agentic solutions, including requirements, success measures, and data and tool integrations
Prototype and contribute to solutions using code and integrations, including MCP tools
Partner with engineering teams to validate solutions and move them into use and communicate findings and trade-offs clearly to technical and non-technical stakeholders
Lead AI-enabled de novo antibody discovery and optimization campaigns, integrating computational and experimental approaches to advance protein therapeutics.
Compensation
The salary range for this position is: $169,320.00 - $219,120.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package.
Responsibilities
Lead de novo antibody discovery and optimization campaigns from target and epitope assessment through design, screening, iteration, and hit selection.
Develop integrated computational and experimental screening strategies for de novo designs, including candidate prioritization, library design, multiplexing, and recombinant and display-based approaches.
Critically evaluate experimental and predicted structural models to prioritize biologically relevant epitopes and guide discovery strategies.
Integrate computational, structural, binding, functional, and developability data to inform campaign iteration and binder advancement decisions.
Rapidly prototype computational workflows that address antibody discovery and optimization needs.
In compliance with pay transparency requirements, the salary range for this role in New Jersey is $70,500 - $129,500.
Responsibilities
Determine design approaches and parameters
Perform system analysis to determine feasibility of design within time and cost constraints
Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results
Select components and equipment based on analysis of specifications and reliability
Perform simulations and present design reviews to peer engineers
Requirements
Bachelor’s degree in Electrical Engineering, Computer Engineering, Electrical & Computer Engineering, Materials Engineering, Materials Science Engineering or related field
Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application
Compensation
In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $75,500.00 - $140,500.00 .
Responsibilities
Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target application
Work closely with cross functional members of the engineering organization to develop and evaluate interfaces between hardware and software, and operational performance requirements and design of the overall system
Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test of embedded software for real-time control of high power and high energy power conversion equipment
Develop and execute software test procedures, software programs, and related documentation
Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results
Design, implement, and maintain security capabilities across software products and development platforms.
Compensation
The base salary range for this role is $102,200-$163,500. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.
Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.
Responsibilities
Support the implementation of product security requirements throughout the software development lifecycle.
Develop and maintain web applications and dashboards using React and Redux with Microsoft SQL Server and/or PostgreSQL databases for data storage, reporting, and analytics.
Assist with vulnerability identification, remediation tracking, and security validation activities.
Partner with development teams to integrate secure coding practices and security controls.
Support application security testing, including static and dynamic analysis tools.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Cybersecurity, or a related technical field.
Nice to have: DevOps tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, Terraform, Ansible, Docker
Nice to have: container technologies and orchestration platforms such as Kubernetes
Nice to have: application security tools including SAST, DAST, software composition analysis, or secrets scanning
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