76 to 100 of 1,287 SDLC Jobs

implementing AI-driven solutions within software development environments (e.g., AI-assisted coding, testing automation, DevOps optimization). Strong understanding of the software development lifecycle (SDLC) and ability to identify high-impact areas for AI enablement. Hands-on experience with LLMs, GenAI, and agentic workflows (e.g., AI agents for code generation ...

performance, maintainability, testability, and security. Participate in code reviews and mentor engineers by promoting strong engineering standards and reusable design patterns. Drive modern SDLC practices including version control discipline, automated testing, CI/CD, and release management. Coordinate and lead work delivered by offshore development teams, including planning, task delegation ...

RHEL) environments. Experience with XML and JSON message formats. Strong understanding of enterprise integration and messaging architecture. Experience across the full Software Development Lifecycle (SDLC). Ability to produce high-quality technical documentation and solution designs. Strong analytical and problem-solving skills. Desirable Skills Experience with any of the following ...

designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory).* Deep understanding of the SDLC, API-Centric Design, and Twelve-Factor App principles.* Proven experience mentoring engineers and leading technical teams to success.* Deep familiarity with authentication and authorisation protocols ...

teams, platform teams and other ISD teams to ensure delivery remains aligned to business priorities, platform standards and control expectations. Adhere to development standards, SDLC processes, change control, information security and operational resilience expectations. Qualifications, Skills and Experience Essential Experience Extensive experience as a senior developer, technical lead, principal engineer ...

designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory). Deep understanding of the SDLC, API‐Centric Design, and Twelve‐Factor App principles. Proven experience mentoring engineers and leading technical teams to success. Deep familiarity with authentication and authorisation protocols ...

prioritization and remediation workflows within development pipelinesCross-Functional Collaboration:Work closely with DevOps, IT, and product development teams to ensure secure software development lifecycles (SDLC) and infrastructure-as-code practices.Act as a trusted advisor to senior leadership on cybersecurity strategies, risks, and investment opportunities.Collaborate with third-party vendors to evaluate ...

Practice initiatives and continuous improvement. Required Experience Extensive Release Management experience within complex enterprise environments. Strong understanding of the full Software Development Lifecycle (SDLC). Excellent Project Management experience. Excellent stakeholder management and communication skills. Experience delivering releases within Agile environments. Working knowledge of: Azure DevOps (ADS) ServiceNow CI/ ...

effectively to both technical and non-technical stakeholders. Required Skills & Experience: Quantexa Technical Certification is mandatory. Proven experience in end-to-end Quantexa SDLC implementations, including design, build, testing, and deployment. Deep understanding of Quantexa components such as: Entity Resolution (ER), Scoring Framework, Contextual Network Generation, UI Configuration. Strong background ...

effectively to both technical and non-technical stakeholders. Required Skills & Experience: Quantexa Technical Certification is mandatory. Proven experience in end-to-end Quantexa SDLC implementations, including design, build, testing, and deployment. Deep understanding of Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background ...

more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time ...

more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time ...

more programming languages: Swift, Kotlin, Java, or Node.js/TypeScript. Excellent problem-solving skills Strong collaboration skills and familiarity with standard Software Development Lifecycle (SDLC) tools such as Jira, Confluence, and version control systems like GitLab or GitHub Highly organized, detail-oriented, and able to deliver project tasks on time ...

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 ...

form of cloud-native microservices architecture applications. You will be involved in the design and architecture of solutions, focusing on the entire SDLC lifecycle stages. Our team works in tribes and squads, allowing you to move between projects based on your strengths and interests, making a significant impact ...

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. ...

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 ...

C++, Java or Python with the ability to write clean, efficient, and maintainable code. Familiarity with all phases of the Software Development Lifecycle (SDLC) Proven experience building enterprise-grade applications or large-scale distributed systems. Excellent communication skills with a collaborative and growth-oriented mindset. Commitment to engineering rigor, continuous ...

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 ...

Front‐end Expertise: Experienced in Python‐based front‐end frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC: Deep understanding and practical application of DevOps principles, including CI/CD pipelines, automated testing, and trunk‐based development. A strong commitment to fully automated ...

delivery plans. Define and enforce a high bar for engineering excellence: code quality, maintainability, security, performance, accessibility, and reliability. Establish and improve mobile SDLC practices: planning, development, peer review, testing, release management, and operational support. Lead the mobile testing and quality strategy (unit/integration/UI automation) and drive ...

engineering; 5+ years leading AI‐native solutions at enterprise scale. Hands‐on with LLMs and agentic frameworks; design and deploy AI systems that augment SDLC (requirements → coding → testing → ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool use, code planning. ...

Change Management* Knowledge of Scripting, SQL and/or experience in programming languages such as Java and Python* Knowledge of IT project & development lifecycles (SDLC), agile methodology, and ITIL**Nice to Have Skills:*** Experience in FIS Quantum application* Experience in financial services industry, specifically in Capital Markets and Treasury* Experience ...

ability to lead technical squads while remaining active in architectural decisions Proficient in spoken and written English Excellent knowledge of software development methodologies and SDLC Familiarity with AI-assisted development tools and practices (e.g., Cursor, AI code review, automated testing) Understanding of AI/ML concepts and how they intersect ...

Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering experience: retrieval systems, embeddings, or enterprise knowledge graphs. Experience taking AI features through security, privacy ...