À propos de ce poste Security Senior Software Developer chez Caseware
Contact
Maira Russo - Senior Talent Acquisition Partner
Responsibilities
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Create architecture, prototypes, and design proposals that deliver near-term business value while aligning with the future-state product and platform vision.
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Influence technical direction through architecture reviews, RFCs, prototypes, design discussions, and hands-on delivery across the SDLC.
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Partner with senior developers, architects, and tech leads to define and execute the product/platform architecture roadmap.
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Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions.
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Break down large initiatives into parallelizable chunks of work that deliver incremental business value.
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Champion proposals through all phases of the SDLC, from design through production implementation.
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Contribute to improving the core product build, CI/CD pipelines, and overall SDLC.
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Drive automation initiatives at the team level — eliminating manual toil in builds, testing, deployment, and operational workflows, and setting the standard for how automation is done well.
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Champion innovative approaches to platform evolution, tooling, and modernization — evaluating emerging technologies, build-vs-buy tradeoffs, and new capabilities that could meaningfully move the platform forward.
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Troubleshoot and eliminate root causes of persistent production issues; drive reliability, observability, monitoring, and incident response.
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Keep technical documentation current and create new artifacts as needed.
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Facilitate design discussions within and across teams.
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Represent the team in technical discussions with Tech Leads, Operations, Product/UX, Security, Domain SMEs, and external stakeholders.
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Act as a trusted technical leader, helping teams succeed through collaboration, influence, and shared ownership.
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Mentor other developers through design reviews, joint agentic-AI sessions, and feedback on skills, prompts, and other agent inputs; contribute to raising overall engineering maturity.
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Define and evolve back-end service architecture and standards for scalability, security, reliability, APIs, and alignment with the product and platform roadmap.
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Design, build, and operate distributed cloud-native services, breaking large initiatives into parallel, incremental deliveries that balance speed, quality, and maintainability.
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Partner with QA, Security, Product, Operations, architects, and technical leads to deliver robust, well-tested services and translate decisions into business value.
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Use AI-assisted development tools responsibly, verify generated output, automate suitable workflows, and establish team guardrails and feedback loops.
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Own security posture and CVE-remediation strategy across the cloud platform's dependency graph, with the ability to extend that discipline to a legacy native Windows codebase when required.
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Apply or review applied-cryptography and secure-transport patterns, in both cloud services and native components
AI-Augmented Development Expectations
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Use AI-assisted development tools — inline completion, conversational assistants, and agentic workflows — as a standard part of your daily workflow.
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Critically evaluate and take ownership of all AI-generated output before it ships — verify correctness, security, and alignment with architecture and team standards.
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Identify opportunities for agentic automation within your team and lead the rollout of new AI-assisted workflows and tooling.
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Mentor other developers on effective, responsible use of AI-assisted development tools.
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Help establish team-level practices and guardrails for using AI tools safely and effectively.
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Build and refine feedback loops that improve the team's collective use of AI tooling over time.
Nice to Have
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Experience with cloud providers beyond AWS (Azure, Google Cloud).
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Familiarity with containerization and orchestration (Docker, Kubernetes).
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Contributions to open-source projects or a strong GitHub portfolio.
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Experience with native Windows development (C++/MFC/COM) or applied cryptography libraries.
Tech Stack
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Languages & Frameworks: Java 25
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SpringBoot, Spring Cloud Gateway
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Cloud & Infrastructure: AWS (S3, Secrets Manager, Lambda, SQS, SNS, DynamoDB, EKS, etc.), CloudFormation, Terraform, Kubernetes/Istio, AWS CDK
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Data: AWS DocumentDB, PostgreSQL, S3
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Testing & Observability: JUnit, New Relic
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Tooling: Jira, Devin, Claude, GitHub
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Legacy exposure: native Windows (C++, .NET Framework, MSBuild) for security/refactoring work.
Qualifications
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Degree in Computer Science, Software Engineering, or equivalent practical experience; 8+ years of professional software development experience with demonstrated impact beyond a single team.
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Proven experience designing and operating distributed, cloud-native, SaaS/multi-tenant platforms at scale, ideally on AWS.
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Strong software fundamentals: OOP, design patterns, SOLID principles, and a track record of advocating for code quality.
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Experience with agentic-AI software development practices.
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Experience designing and consuming well-designed HTTP APIs (REST, GraphQL, or similar).
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Experience mentoring developers and influencing architectural decisions across teams.
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Strong written and verbal communication skills; comfortable operating in fast-moving environments with ambiguity and evolving requirements.
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Strong initiative to improve processes, tools, methodologies, and product quality.
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Deep expertise in cloud-native service architecture, with enough native Windows/C++ background (or willingness to build it) to safely refactor and patch a legacy desktop codebase