Lead Software Engineer, Data & DevSecOps Jobs

Primary Responsibilities: Engineering Experience in working on teams utilizing Agile workflows and processes Engineer and architect the database architecture to support modernization initiatives Translate mission outcomes and prioritized product backlog items into technical delivery plans and sprint goals Develop, maintain, and evolve a modernized database architecture aligned to modernization initiatives, including cloud adoption Design, implement, and test database architecture solutions that improve scalability, resilience, security, and performance Re-engineer and transition legacy databases to modernized architectures while enabling coexistence across on-premises and cloud ecosystems Gather, define, and refine database and reporting requirements for internal and external users Maintain enterprise architecture documentation and technical artifacts, including data models, SOPs, installation guides, and related engineering documentation Lead development and integration of secure APIs, data pipelines (structured/unstructured) Experience with software development languages/environments such as: JavaScript, GitLab, Jenkins, Ansible Automation, Java, PSSQL, YAML, and Terraform Develop automated CI/CD build/deployment pipelines using Ansible and Bitbucket/Gitlab. Implement DevSecOps practices, CI/CD pipelines, automated testing, observability, and security controls Implement software release version control, provide release management support throughout a software product's life cycle (initial software development through promotion to Test, QA and Production Environments), ensuring the consistency and reliability of software builds Organizational & Technical Leadership Define and drive long-term technical strategy and architectural direction across teams Oversee the design and delivery of scalable, secure, and maintainable software solutions Serve as a senior technical authority and escalation point for cross-team and cross-domain issues Champion engineering excellence, including automated testing, CI/CD, reliability, and security Establish standards, best practices, and governance for software development Guide the responsible adoption of generative AI tools across engineering teams People Management & Leadership Development Lead, manage, and develop senior engineers and technical teams Own performance management, career development, succession planning, and talent growth Build and sustain a high-performing, inclusive engineering culture Coach leaders on effective team management, delivery, and technical decision-making Delivery & Execution Own delivery outcomes across Agile teams, ensuring predictability and quality Partner with product and business stakeholders to align roadmaps, priorities, and execution Ensure effective Agile practices, metrics, and continuous improvement using Jira Balance near-term delivery with long-term platform and technical investments Incorporate customer feedback, operational insights, and data to drive product improvements Cross-Functional & Executive Collaboration Act as a key engineering representative in cross-functional and leadership discussions Communicate technical vision, risks, and progress to senior leadership Influence product strategy through deep understanding of users and technical constraints Drive alignment across engineering, product, design, and operations