151 to 175 of 2,640 SDLC Jobs

portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency ...

automated testing) and promoting reuse of effective patterns across the team. Establishes clear “where AI helps/where it must not” guardrails for the SDLC (design, coding, testing, deployment, operations), ensuring sensitive data handling and secure engineering practices are consistently applied. Implements a repeatable AI-assisted review workflow (PR checklist ...

portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency ...

Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing. Lead and participate in the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance. Identify and automate remediation of recurring issues to improve operational stability, acting as both Production Support ...

root‐cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‐assisted development and automation capabilities, to improve ...

Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing. Lead and Participate in the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance Identify and automate remediation of recurring issues to improve operational stability, acting as both Production Support ...

patterns across the team Contribute to the engineering community by advocating firmwide frameworks, tools, and practices for the AI-enabled System Development Life Cycle (SDLC). Foster a team culture of opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Significant hands-on system/software development experience, delivering production ...

SDLCGuides integration contracts, API/versioning strategies, and deprecation paths for platform servicesDrives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and securityMentors engineers and contributes to a culture ...

automated testing) and promoting reuse of effective patterns across the team. Establishes clear "where AI helps/where it must not" guardrails for the SDLC (design, coding, testing, deployment, operations), ensuring sensitive data handling and secure engineering practices are consistently applied. Implements a repeatable AI-assisted review workflow (PR checklist ...

implementing APIs and microservices in a high-velocity production environment. You possess a deep understanding of observability and the full software development life cycle (SDLC) in an Agile environment. You can effectively distill complex technical updates into clear, actionable information for both technical and non-technical stakeholders. You excel ...

implementing APIs and microservices in a high-velocity production environment.You possess a deep understanding of observability and the full software development life cycle (SDLC) in an Agile environment.You can effectively distill complex technical updates into clear, actionable information for both technical and non-technical stakeholders.You excel at working across team ...

root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve ...

inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. Proven experience across the SDLC: design, development, testing, deployment, and operations in a large corporate environment. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. ...

root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Establishes an enterprise-aligned operating model for AI-assisted engineering across teams (approved use cases, guardrails, RACI, auditability), ensuring consistent adoption that ...

Computer Science or a related discipline Proven experience supporting or leading software testing activities Strong understanding of software testing within the software development lifecycle (SDLC) Experience planning and delivering manual and regression testing Knowledge of software engineering lifecycle processes and associated tools Experience working with requirements and translating them into ...

throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing ...

best engineering organisations in the world are rewriting their operating models around AI native development: Claude Code in every workflow, agents across the SDLC, and a fundamentally different relationship between engineers and the tools they use. Most enterprises know this matters. Very few know how to make it work. ...

build and release management, quality assurance, automated testing (e.g. ServerSpec, RSpec) and change control. Extensive knowledge and hands-on experience with open source SDLC toolset, including Jira, Confluence, Bitbucket Server, Git, Jenkins. Ability to communicate directly with developers and senior leadership to resolve issues and to fully understand business requirements ...

databases, and cloud platforms (e.g., AWS, Azure, or GCP) - sufficient to make informed, well-grounded platform decisions. Working understanding of secure software development lifecycle (SDLC) principles as applied to configuration, customization, and integration work on hosted SaaS platforms. Preferred Skills Experience integrating corporate applications via APIs and middleware/iPaaS ...

product managers and engineers to build modern, scalable, user friendly and functionally robust web applications in an AGILE environment. Participate in all aspects of SDLC including analysis, requirements, design, implementation, testing and support. Use principles, guidelines and best practices as defined. Reviewing and analysing feature requirements. Maintaining and creating product ...

monitoring, and maintenance . Familiarity with Entity Framework, ADO.NET, Code First . Experience working in Agile/Scrum environments . Strong understanding of full SDLC and application architecture. Experience working with mobile‐app‐connected APIs. Exposure to Angular or other frontend frameworks. Knowledge of Jira or similar project management tools. ...

pipelines, with strong security, data governance and residency practices.Cloud: AWS, Azure or GCP, including managed AI/ML services.Delivery: Agile, CI/CD, modern SDLC and TDD.Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles.Ways of working: Thrives in ambiguity, framing the problem, extracting ...

strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD.Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing the problem ...

strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing ...

strong security, data governance and residency practices.* **Cloud:** AWS, Azure or GCP, including managed AI/ML services.* **Delivery:** Agile, CI/CD, modern SDLC and TDD.* **Data and architecture:** Modelling across relational, columnar and vector stores, grounded in sound architectural principles.* **Ways of working:** Thrives in ambiguity, framing ...