5+ years of professional software engineering experience in production systems.
Proficient in modern programming languages like TypeScript, JavaScript, or Python.
Strong understanding of API design, distributed systems, and modern application architecture.
Experience in creating maintainable, reusable software components.
Solid Git skills and knowledge of software development fundamentals.
Responsibilities
Design and build production software while enhancing developer tools and practices.
Deploy and operate cloud-native applications on AWS.
Create and maintain CI/CD pipelines, preferably with GitHub Actions.
Develop reusable libraries, SDKs, and internal platforms to streamline engineering work.
Implement secure software development practices and automate security requirements.
Benefits
Flexible work environment with opportunities for remote work.
Access to modern AI-assisted development tools.
Collaborative culture focused on enabling engineers.
Opportunities for professional growth and technical leadership.
Engagement with cutting-edge cloud and AI technologies.
Full Job Description
Job Description
We are looking for a senior, hands-on software engineer with broad experience across software development, cloud infrastructure, DevOps, and developer tooling. You should be comfortable building production software while also improving the platforms, tools, and practices that enable other developers to work effectively.
Core Software Engineering
5+ years of professional software engineering experience, including experience designing, building, and operating production systems.
Strong software development skills in one or more modern programming languages such as TypeScript/JavaScript, Python, or similar, with the ability to contribute to backend applications and services when required.
Strong understanding of API design, distributed systems, authentication/authorization, databases, networking, and modern application architecture.
Experience designing maintainable, reusable software components rather than solving problems only within a single application.
Strong Git and software development fundamentals, including code review, testing, dependency management, release management, and debugging.
Cloud & Platform Engineering
Strong hands-on experience with AWS and designing, deploying, and operating cloud-native applications.
Experience with containers and Kubernetes, including Docker, Kubernetes/EKS, Helm, ingress, configuration, secrets, scaling, and troubleshooting.
Experience with Infrastructure as Code and automated infrastructure provisioning using tools such as Terraform, CloudFormation, CDK, or equivalent.
Experience designing and maintaining shared platform capabilities that can be reused across multiple applications and development teams.
Strong understanding of cloud networking, identity and access management, secrets management, observability, reliability, and production operations.
Ability to evaluate infrastructure and application architectures for security, scalability, reliability, performance, and cost.
CI/CD & Developer Experience
Strong experience designing and maintaining CI/CD pipelines, preferably using GitHub Actions or comparable tooling.
Experience creating reusable build, test, deployment, and release workflows across multiple repositories or applications.
Experience building developer tooling, application templates, reusable libraries, SDKs, CLIs, or internal platforms that reduce repetitive engineering work.
Ability to identify recurring development and operational tasks and turn them into automation, self-service capabilities, and paved-road patterns.
Strong understanding of developer experience and the ability to balance standardization and guardrails with developer flexibility.
Security & Production Readiness
Working knowledge of secure software development practices, including IAM, secrets, dependency management, application security, network security, and least-privilege access.
Experience working with Infrastructure, Cybersecurity, or other technical governance functions to move applications through architecture, security, and production-readiness reviews.
Ability to translate security and infrastructure requirements into practical tooling and automated guardrails rather than relying solely on manual review.
AI-Enabled Software Development
Practical experience using modern AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or similar tools as part of day-to-day software development.
Strong interest in developing new approaches for integrating generative AI into the software development lifecycle, including development, testing, code review, documentation, security, and operational workflows.
Ability to evaluate where AI/agentic workflows provide value and where traditional deterministic software, automation, or reusable libraries are more appropriate.
Interest in building tooling and standards that allow both traditional engineers and AI-enabled/non-traditional developers to build software quickly and reliably.
Understanding of the importance of model usage, token consumption, observability, and cost management as AI becomes a larger component of software development and production systems.
Technical Leadership & Collaboration
Ability to take broad technical problems from discovery through prototype, implementation, productionization, and ongoing operation.
Strong technical judgment and the ability to independently make implementation decisions within established architectural standards.
Ability to review application and infrastructure designs, identify risks, and recommend practical solutions before formal Architecture, Infrastructure, or Cybersecurity review.
Comfortable working across application development, infrastructure, architecture, security, and operations rather than within a narrowly defined technical domain.
Strong communication skills and the ability to work directly with software engineers, architects, infrastructure and security teams, product teams, and other technical stakeholders.
A mindset focused on enabling other engineers rather than becoming a gatekeeper: success means making the right way to build and deploy software the easiest way.
Strong Assets
The following experience would be valuable but is not required:
Experience building or operating an internal developer platform or Platform Engineering capability.
Experience with AWS services including EKS, RDS, S3, DynamoDB, Lambda, IAM, CloudWatch, Route 53, and WAF.
Experience with OAuth 2.0, OIDC, enterprise identity providers, and application authorization patterns.
Experience with AI platforms or model providers such as Amazon Bedrock, Anthropic, or OpenAI.
