AWS DevSecOps Engineer – CL4
Role Overview: As a DevSecOps Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive DevSecOps engineering craftsmanship and advanced proficiency across multiple programming languages, DevSecOps tools, and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused CI/CD and automation solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.
Key Responsibilities:
Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop DevSecOps engineering solutions that solve complex automation problems with valuable outcomes, ensuring high-quality, lean, resilient and secure pipelines with low operating costs, meeting platform/technology KPIs.
Technical Leadership and Advocacy: Serve as the technical advocate for DevSecOps modern practices, ensuring integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable automation/integration/security practices—being responsible for designing and maintaining code repos, CI/CD pipelines, integrations (code quality, QE automation, security, etc.) and environments (sandboxes, dev, test, stage, production) through IaC, both for custom and package solutions, including identifying, assessing, and remediating vulnerabilities.
Engineering Craftsmanship: Maintain accountability for the integrity and design of DevSecOps pipelines and environments while leading the implementation of deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing. Be always hands-on and actively engage with engineers to ensure DevSecOps practices are understood and can be implemented throughout the product development life cycle. Resolve any technical issues from implementation to production operations (e.g., leading triage and troubleshooting production issues). Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies.
Customer-Centric Engineering: Develop lean, and yet scalable and flexible, DevSecOps automations through rapid, inexpensive experimentation to solve customer needs, enabling version control, security, logging, feedback loops, continuous delivery, etc. Engage with customers and product teams to deliver the right automation, security, and deployment practices.
Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Support a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess intermediary knowledge in modern software engineering practices and principles, including Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate intermediate level understanding of the product development lifecycle, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning.
Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs into technical requirements and automations. Learn to navigate various enterprise functions such as product, experience, engineering, compliance, and security to drive product value and feasibility.
Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Learn to create a coherent narrative that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: Able to engage and collaborate with product engineering teams, including customers as needed. Able to build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Support diverse perspectives and consensus to create feasible solutions.
The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes by leveraging a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
Key Qualifications:
§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
§ Strong software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc.
§ 5+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred).
§ 5+ years proven experience with CI/CD tools (Azure DevOps and GitHub Enterprise) and Git (version control, branching, merging, handling pull requests) to automate build, test, and deployment processes.
§ 5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend), monitoring/logging (Prometheus, Grafana, Dynatrace), and other cloud-native tools on AWS, Azure, and GCP.
§ 5+ years of hands-on experience in using Infrastructure as Code (IaC) technologies like Terraform, Puppet, Azure Resource Manager (ARM), AWS Cloud Formation, and Google Cloud Deployment Manager.
§ 2+ years of hands-on experience with cloud native services like Data Lakes, CDN, API Gateways, Managed PaaS, Security, etc. on multiple cloud providers like AWS, Azure and GCP is preferred.
§ Strong understanding of methodologies like, XP, Lean, SAFe to deliver high quality products rapidly.
§ General understanding of cloud providers security practices, database technologies and maintenance (e.g. RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL)
§ General knowledge of networking, firewalls, and load balancers.
§ Strong preference will be given to candidates with AI/ML and GenAI.
§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do.