Jobs and Careers

Senior Manager, Software Engineering

Walmart

Bentonville, United Statesfull_timeVerifiedPosted 16 Apr 2026

💰 $220,000/yr($110,000/yr – $220,000/yr)

About the role

Position Summary...

What you'll do...

The Senior Manager, Software Engineering leads platform-level execution of software, ensuring alignment with strategic priorities and roadmap milestones. This role oversees infrastructure, tooling, and frameworks that support scalable, secure development while driving full lifecycle management across multiple teams. The position champions DevOps practices, cloud cost optimization, and technical excellence to deliver high-availability systems. Collaborating across engineering, product, and data teams, the manager guides architectural decisions, mentors engineers, and manages complex initiatives to achieve business objectives with a focus on continuous improvement and operational efficiency. This is techno-functional and leadership role, which needs hands-on and rolled up sleeves to actively code and design. The Senior Manager, Software Engineering steers architecture decisions and leads team towards stabilizing complex platforms while laying the foundation for next-generation modernization.

What you'll do:

Own end-to-end delivery of small to medium platform initiatives from discovery through production, ensuring clear requirements, strong designs, and on-time delivery.
Lead design and delivery of scalable, reliable batch and streaming data platforms, services, and APIs aligned to long-term platform needs.
Drive strong engineering practices across data modeling, schemas, API contracts, performance, security, and observability.
Modernize the Finance Data Factory by consolidating point solutions into a cohesive platform with built-in data quality, lineage, metadata, and automation.
Be accountable for production quality and reliability, including testing strategy, observability, incident response, RCA, and preventive actions.
Ensure teams align to reference architectures, engineering standards, and platform patterns through design and code reviews.
Partner closely with product, business, and peer engineering leaders to align on outcomes, timelines, dependencies, and delivery commitments.
Proactively manage execution risks, communicate status and trade-offs, and ensure smooth cross-team handoffs.
Mentor and develop engineers by setting technical direction, providing feedback, and growing ownership and technical depth across the team.

What you'll bring:

Experience: 7–10+ years in Data Engineering, building and operating large-scale, distributed, fault-tolerant data platforms, with at least 3+ years in a leadership role.
Data Engineering Mastery: Deep-rooted expertise in Data Fundamentals. You must be an expert in data modeling (Star/Snowflake, Data Vault), storage formats (Parquet, Avro), and distributed computing concepts (sharding, replication, and CAP theorem).
Real-Time Expertise: Deep experience with Kafka and event-driven architectures. You understand how to manage state, schema evolution, and consistency in streaming environments (Kafka Streams, Flink, or Spark Streaming).
Semantic & AI: Familiarity with the modern AI stack—specifically Vector Databases (Pinecone, Milvus), Knowledge Graphs, and framework orchestration (LangChain, LlamaIndex, CrewAI).
Cloud Scale Mastery: Proven track record in GCP or Azure, utilizing BigQuery, Dataflow, and Pub/Sub to handle petabyte-scale workloads.
Engineering Rigor: Fluency in Python, Java, or Scala, with a deep engineering mindset around testability, maintainability, and high-performance system design.
Proven experience leading platform engineering and software development lifecycle across multiple teams.
Strong expertise in DevOps architecture, CI/CD practices, and cloud financial management (FinOps).
Demonstrated ability to manage complex technical initiatives with effective stakeholder collaboration.
Proficiency in project management, mileston