Senior Software Development Lead - Backend Data Services

What success looks like in this role:

We are seeking an experienced Senior Software Development Lead - Backend Data Services to lead the design, development, and implementation of scalable, high-performance backend data systems with a strong focus on data security. This role requires both deep technical expertise and the ability to communicate complex design decisions effectively across technical stakeholders and architects. You will be responsible for leading the design and implementation of our backend data services while actively contributing to software development. As part of your leadership, you will help align various teams, ensuring that the overall design and implementation meets both business and technical objectives.

• Design and Develop: Lead the design and development of backend data services, including data storage, processing, integration, and analytics. Write clean, maintainable, and secure code to implement these systems, with a focus on scalability, performance, and security.
• Mentorship & Technical Leadership: Provide technical leadership and mentorship to engineering team, guiding them on best practices, secure coding standards, and architectural patterns. Lead by example through direct involvement in code reviews, problem-solving, and setting coding standards.
• Cross-team Collaboration: Communicate clearly with various technical stakeholders, including other architects, senior engineers, product managers, and security teams, to ensure the design and development align with the overall product and business goals. Communicate in global teams spanning time zones.  Be a key participant in cross-functional discussions around technical trade-offs, system limitations, and architectural decisions.
• Implementation Leadership: Define and communicate the design and implementation for the backend data services, considering the long-term scalability, performance, and security of the systems. Work with other architects to ensure alignment and consistency across different parts of the architecture.
• Security-First Development: Integrate security into every phase of software development. Apply best practices for encryption, access control, secure coding, and ensure compliance with industry regulations (e.g., GDPR, HIPAA).
• Innovation & Best Practices: Lead the adoption of new technologies, frameworks, and practices that improve security, scalability, and performance.
• Problem Solving & Troubleshooting: Participate directly in troubleshooting complex system issues, including data retrieval, security vulnerabilities, and performance issues.
• Code Reviews & Standards: Conduct and participate in rigorous code reviews, ensuring adherence to clean code principles, security best practices, and the overall architecture vision. Champion the adoption of coding standards and best practices within the engineering team.

You will be successful in this role if you have:

• Bachelor’s degree in Computer Science, Information Security, or a related field.
• Experience: 8+ years of experience in backend software development, with at least 3-5 years of experience in a senior or development lead role.
• Expertise in Systems Architecture: Strong experience in designing and developing backend data systems, including microservices, RESTful APIs, data modeling, distributed systems, and database design (both relational and NoSQL).
• Backend Technologies: Proficiency in backend technologies:  C#, Scala, Python, PowerShell scripting.  Familiarity with implementing services leveraging Azure database solutions. Experience with developing API or microservices leveraged by other system components.
• Cloud and Distributed Systems: Hands-on experience with cloud platforms ( Azure, AWS ) and building scalable, fault-tolerant systems.
• Data Engineering Skills: Strong understanding of data pipelines, ETL processes, real-time data processing, and experience with data tools such as Databricks, Spark, etc.
• Security Best Practices: Knowledge of secure coding practices, data encryption, and threat mitigation. Hands-on experience with implementing security controls, data privacy, compliance, code scanning tools.
• Leadership & Communication: Proven ability to communicate complex technical concepts clearly to both technical (e.g., engineers, architects) and non-technical stakeholders (e.g., product managers). Strong verbal and written communication skills, following UML rules and expertise in visual diagram presentation.
• DevOps & CI/CD: Experience with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and monitoring tools to ensure efficient and secure deployment of backend services.
• Problem-Solving & Troubleshooting: Strong analytical and troubleshooting skills with the ability to resolve complex issues in data architecture, security, performance, and scalability.

Nice-to-Have:

• Experience with data lakes or data warehousing solutions.
• Familiarity with machine learning models or AI-driven systems in backend architectures, with an emphasis on securing ML/AI pipelines.
• Experience in Agile or other iterative development methodologies.

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