Vice President : Software Engineering

divh2Vice President : Software Engineering / h2pFounded over 16 years ago, with more recent investments from Accel-KKR, Entersekt is a leader in digital banking fraud prevention and payment security, including mobile authentication, mobile app security, and 3-D Secure authentication for issuers, acquirers and payment networks. We offer highly scalable products with a track record of success across multiple continents. / ppEntersekt enables secure digital transactions for leading financial institutions globally. We exist to create a world where everyone can transact digitally without fear or compromise. Currently, we protect the digital transactions of over 210 million active users on our platform and hold 120 active patents that recognize innovation in digital security, payments, and user experience. Entersekt offers customers secure authentication and digital payments experiences that remove unnecessary friction. Entersekt has a diverse product portfolio and aggressive roadmap that positions the company well to sustain competitive advantage as it expands globally with emphasis on North America and European markets. / ph3The Ideal Candidate / h3pYoure a senior engineering leader who has modernized software delivery at scale and knows how to drive consistent engineering excellence across multiple product teams. Youve led transformations involving CI / CD, test automation, progressive delivery, AI-enabled engineering practices, and cloud-native architectures. / ppYoure comfortable influencing a matrixed organization, setting standards, and guiding POD leaders without direct line authority. You balance engineering rigor, risk management, and speed, while partnering closely with Product, Architecture, Security, and Platform Engineering. / ppYou enjoy driving clarity, structure, and governance in environments that are scaling quickly, and you have a strong track record of bringing consistency to engineering processes while enabling innovation and autonomy. / ph3The Role / h3pThe VP of Software Engineering is accountable for enterprise-wide engineering standards, release governance, toolchain strategy, and AI-driven engineering transformation across our product development PODs. / ppThis role serves as the central owner of the SDLC, quality gates, metrics, release patterns, architectural governance, and engineering operating model. It drives alignment across PODs without initially taking direct line management of engineering team leads, but with clear authority to define, enforce, and continuously improve engineering practices. / ppYou will partner closely with POD Leaders, Product, Architecture, SRE / Platform Engineering, Information Security, and GRC, ensuring our products meet high standards of reliability, security, compliance, and delivery consistency, all while embedding modern engineering practices across the SDLC. / ph3Responsibilities / h3ullistrongCross-Functional Leadership / strong ulliOperate as a matrixed leader : influence POD Leaders, Product Management, Architecture, SRE / Platform, and InfoSec; chair an Engineering Standards Council to ratify and evolve practices. / liliBudget for and govern vendor relationships and tooling investments; establish business cases for modernization. / li / ul / lilistrongEngineering Governance Standards / strong ulliDefine, publish, and enforce the enterprise SDLC and development standards (branching, code review, secure coding, documentation), including POD consistent Jira workflows, states, and entry / exit criteria from ideation through production. / liliEstablish Definition of Ready / Done for features and defects; set predevelopment conditions of success expected from Product before work begins. / liliCreate quality gates (unit, component, functional, nonfunctional) and observability baselines and ensure they are uniformly applied across PODs. / liliDefine, monitor, report, and implement strategies to continuously improve software engineering and delivery metrics (e.g., FLOW, DORA). / li / ul / lilistrongRelease Deployment Management / strong ulliInstitutionalize separation of deployment from release to reduce risk and improve flexibility; standardize feature flag usage, canary, and progressive delivery patterns, and kill switches for rapid rollback. / liliCodify roles : Engineering ensures predictable, automated deployments; Product owns feature exposure decisions and business rollout strategy. / liliAlign with ITIL 4 guidance that treats Release and Deployment as distinct practices with different objectives. / li / ul / lilistrongQuality Engineering Test Automation / strong ulliLead the shiftleft transformation so software developers own unit, component, and functional tests within PODs; QA evolves to enablement, tooling, and governance. / liliOversee automation frameworks, self-service test platforms, and AI assisted test generation, flakiness detection, and impact analysis in CI / CD. / liliDirectly manage the Quality Manager and scale a small excellence function to drive consistency, training, and audits. / li / ul / lilistrongAI-Driven Engineering Transformation / strong ulliBuild an AI adoption roadmap across the SDLC : AI assisted coding reviews, test generation, defect triage, vulnerability remediation, documentation, and intelligent planning / estimation; implement guardrails for privacy, security, and provenance. / liliPartner with Platform / SRE to embed AI augmented developer experience and insights into internal developer portals and pipelines. / li / ul / lilistrongCompliance, Security Risk / strong ulliEmbed securebydesign practices and evidence collection to meet SOC 2 Criteria and PCI DSS / 3DS requirements; leverage control overlaps to streamline audits and reduce burden. / liliPartner with Cybersecurity / GRC to ensure policy?control?evidence alignment in code scanning, dependencies, secrets management, and change control. / li / ul / lilistrongArchitecture Governance Enablement / strong ulliDefine and enforce architectural standards for scalable, secure, and compliant systems across PODs. / liliPartner with Principal Engineers, Lead Engineers, Platform Engineering, and Security to ensure cloud-native, API-first, and secure-by-design principles are embedded in all product lines. / liliSupport POD-level autonomy while ensuring architectural decisions align with enterprise patterns and compliance requirements (e.g. SOC 2, PCI DSS, PCI 3DS). / liliLeverage AI tools to assist with architectural documentation, impact analysis, and dependency management. / li / ul / lilistrongAuthority Decision Rights / strong ulliApprove and enforce the enterprise SDLC, Jira workflows, and quality gates. / liliApprove standards and block releases that fail to meet defined engineering gates or compliance requirements. / liliOwn toolchain standards (GitLab / Jira / Confluence / Jellyfish) and require corrective actions for noncompliant usage. / liliSet policy for feature flag governance (naming, lifespan, cleanup) and progressive rollout patterns. / li / ul / li / ulpSuccessful candidates for this role will generally possess the following qualifications and skills : / pulli10+ years in software engineering with 5+ years in senior leadership roles in SaaS, platform engineering, or large-scale product organizations. / liliProven experience influencing matrixed teams and driving engineering transformation. / liliDemonstrated success modernizing engineering practices (CI / CD, progressive delivery, observability). / liliHands-on experience with GitLab-based secure CI / CD and Jira-integrated planning at scale. / liliDeep understanding of engineering intelligence and metrics-driven leadership (including DORA). / liliExperience in compliance-heavy environments such as fintech or authentication. / liliPractical experience applying secure-by-design practices in regulated or audited contexts. / liliTrack record implementing AI-enabled engineering practices. / liliTraining or experience in Agile, DevOps, Architecture, or ITIL is advantageous. / li / ulpSuccess measures (1218 months) : / pullistrongEngineering Governance : / strong A single, documented SDLC with POD consistent Jira workflows, entry / exit criteria, and quality gates is adopted across all products; audit-ready by design. / lilistrongProgressive Delivery : / strong Separation of deployment and release is standardized with feature flag governance and stagegated rollouts (internal ? % canary ? full), with clear responsibilities between Product (release decisions) and Engineering (deployment reliability). / lilistrongAI Enabled SDLC : / strong AI assists coding, testing, planning, and documentation; measurable cycletime improvements and reduction in toil are achieved responsibly and securely. / lilistrongToolchain Metrics : / strong GitLab, Jira, Confluence, and Jellyfish are standardized and integrated for traceability and engineering intelligence; DORA metrics dashboards report lead time, deployment frequency, change failure rate, and time to / li / ul / div