Software Development Manager, AWS Context
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Job description
About the Position
Software Development Manager, AWS Context
Senior
240,000 - 300,000 USD/yr
Bellevue, WA
AWS Context is a new AWS service that gives AI agents access to an organization's context through a governed knowledge graph. It is the foundational layer that enables enterprise AI systems to reason over business data - connecting agents to the right context, at the right time, with the right governance controls. AWS Context sits at the heart of Amazon's AI strategy: without grounding in real organizational data, AI agents are generic. With it, they become genuinely useful.
The team is working towards launching the first release of AWS Context. We move fast, ship often, and iterate aggressively on customer feedback. You won't wait for quarterly planning cycles to make decisions - the team ships, learns, and adjusts in days, not months. We value engineering leaders who thrive in ambiguity, bias strongly toward action, and build a culture where failing fast is a feature, not a bug. If you've run a scrappy team that punched above its weight, you'll feel at home here.
This is a high-visibility engineering leadership role at the intersection of frontier AI, large-scale data systems, and customer-facing agentic products. You will lead a team of SDEs in Seattle/Bellevue building systems that process billions of queries, ship agentic features used by AWS customers globally.
About The Team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Responsibilities
- Lead a team of SDEs in building systems that process billions of queries.
- Develop and ship agentic features used by AWS customers globally.
- Collaborate with users, other technical teams, and senior leadership to collect requirements and describe software product features, technical designs, and product strategy.
- Recruit, hire, mentor/coach, and manage teams of Software Engineers to improve their skills and effectiveness.
Requirements
- 3+ years of engineering team management experience.
- 7+ years of working directly within engineering teams experience.
- 8+ years of leading the definition and development of multi-tier web services experience.
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy.
- Experience in recruiting, hiring, mentoring/coaching, and managing teams of Software Engineers to improve their skills and make them more effective.
- Experience in building agentic AI product features and leading a frontier-AI development team.
We Offer
- Competitive salary range: 240,000 - 300,000 USD/year.
- Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
- Flexible work culture that values work-life balance.
About the Company
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit Amazon's Accommodations Page for more information.
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Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce
About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.
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