Lead requirements analysis, solution design, development, testing, implementation, and production support of enterprise applications using Java, Spring Boot, and AWS.
Compensation
$40-$42/hr on W2/C2C
Responsibilities
Lead requirements analysis, solution design, development, testing, implementation, and production support of enterprise applications using Java, Spring Boot, and AWS
Design and develop scalable microservices, secure RESTful APIs, backend components, and integrations with internal and third-party systems
Build, deploy, monitor, and support cloud-based applications on AWS with appropriate resiliency, logging, performance, security, and cost controls
Provide technical leadership through architecture discussions, design reviews, code reviews, engineering standards, troubleshooting, root-cause analysis, documentation, and developer mentoring
Collaborate with product owners, architects, QA, DevOps, and onsite/offshore teams; contribute to Agile ceremonies, estimation, risk management, release readiness, and continuous improvement
The Senior Full-Stack Software Developer is responsible for developing, enhancing, and maintaining enterprise applications and digital platforms across front-end, back-end, and CMS technologies.
Compensation
The annual salary range for this role is 100k -135k USD . This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonus/incentive pay.
Responsibilities
Lead the architecture and delivery of secure, scalable enterprise applications across React.js, Next.js, .NET, Sitecore, and Vercel, driving best practices for performance, SEO, accessibility, and caching.
Design and build scalable Sitecore and Next.js solutions, including reusable React components, REST/GraphQL integrations, and SOLR/Coveo search, adhering to Sitecore Helix principles and coding standards.
Work closely with business analysts, software engineers, architects, business stakeholders, and end users to gather requirements, analyze business needs, and implement new features.
Lead code reviews, establish and champion coding standards, development best practices, and SDLC processes to ensure scalable, maintainable and high-quality applications.
Requirements
Bachelor’s degree in Computer Science
Master’s degree in Computer Science
Master’s degree in Information Technology
Nice to have: AI coding tools
Nice to have: LLMs
Forward Deployed Engineer (AI Solutions) - NA West Market
Lead end-to-end delivery of low-code AI solutions for Aircall customers, designing integrations, managing deployments, and driving adoption across SMB workflows.
Compensation
$120,000 - $190,000 a year
This base range is not including a quarterly bonus (20 percent) and other benefits.
Responsibilities
Lead customer discovery and design sessions
Design, build, and deploy integrations using low/no-code platforms
Collaborate with Engineering to validate technical feasibility
As a Staff Software Engineer on the Ecosystem team, you’ll set the technical direction for Boulevard’s external developer platform and its app and integrations ecosystem, then work across teams to make it real.
Compensation
For U.S. based candidates, the anticipated base salary range is $193,900 - 225,000 per year. In addition to this base compensation, this role may be eligible to participate in a variable compensation program.
Responsibilities
Set the technical strategy for Boulevard’s API and app ecosystem
Work across engineering teams to align on direction and drive the right implementation
Lead platform-level changes that cross team boundaries
Find the gaps between what the platform provides and what business priorities require, and turn them into clear, scoped, prioritized proposals
Learn what partners and integrators need and bring those needs into the platform roadmap
Lead AI Engineer responsible for building secure, production AI applications that orchestrate large language models, enterprise APIs, and Automation Anywhere bots within Paramount’s Platforms & Intelligent Automation team.
Compensation
Hiring Salary Range: $156,800.00 - 235,200.00.
Responsibilities
Architect and build secure, full stack AI applications using Python, TypeScript, APIs and React or similar user interface frameworks.
Integrate LLMs, including Gemini, Claude, GPT and open weight models through Vertex AI and Azure OpenAI, with enterprise systems, MCP tool servers and Automation Anywhere A360 and Agentic Process Automation bots.
Support workflows across ERP, HR, ITSM, finance close, electronic signatures and collaboration platforms.
Implement coordination across multiple agents using planner and worker, supervisor and handoff patterns with Google Agent Development Kit, Agent Engine, LangGraph or equivalent tools.
Build deterministic guardrails, approval gates, role based permissions and complete audit trails so automated actions are explainable, attributable and reversible.
Requirements
Bachelor’s degree in Computer Science, Engineering or a related field
Nice to have: Automation Anywhere agentic capabilities
As an Engineer II – SDET (Software Development Engineer in Test) on the NG-SIEM Test & Release team, you will help prove that every LogScale release is safe before it reaches customers by building automated release validation platforms and end-to-end tests.
Compensation
The base salary range for this position for all U.S. candidates is $100,000 - $150,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
Responsibilities
Write and maintain automated end-to-end and integration tests in Go for LogScale and NG-SIEM services
Add test suites to the release pipeline that run against real LogScale clusters at each stage of the rollout
Build tests that confirm every event ingested can be found by search with the correct results
Run and extend load tests and failure scenarios
Investigate failing and flaky tests and find the root cause
Requirements
Bachelor's degree in Computer Science, Computer Engineering or a related field
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Locations (3)
McLean, Virginia, United States
New York, New York, United States
Richmond, Virginia, United States
Compensation
McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5
New York, NY: $250,800 - $286,200 for Full-stack Engineer 5
Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers
Own and evolve the Apollo Enterprise Router
Drive the supergraph schema lifecycle
Architect, build, and maintain GQL Router plugins
Lead SRE and operational excellence for the federated platform
Shape and lead the development of a next-generation AI product ecosystem for business operations, owning the architecture and technical direction of production-grade agentic systems.
Compensation
Competitive annual salary: $200,000–$300,000, depending on experience, skills, and qualifications.
Responsibilities
Lead the architecture, design, and development of a production-grade multi-agent system capable of safely executing actions across core business tools, including ERP, CRM, spreadsheets, calendars, email, analytics, and compliance platforms.
Own the development and continuous improvement of Model Context Protocol (MCP) integrations that connect internal business systems with external AI environments and assistants.
Design and implement a unified data infrastructure that consolidates information from multiple sources into a centralized layer accessible to AI agents and external tools.
Build contextual memory and customer profiling systems that ingest business data and enable increasingly personalized, intelligent AI experiences.
Establish robust reliability, observability, permission management, and durable execution mechanisms to ensure agents operate safely on real customer data.
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