Software Engineering Lead HYBRID in Raleigh, NC

Remitly • Raleigh, NC

86d • Hybrid

About The Position

The Lead for our Software Engineering team serves as a subject matter expert for a specific team of Software Engineers working toward our new Lexis + AI initiative. You will be instrumental in driving the design, development, and operationalization of scalable, robust solutions working closely with data scientists and engineers to deliver high-impact features for our customers. This is a hands-on leadership role that also requires technical mentoring, architectural thinking, and team guidance across the full application lifecycle. The position has direct reports. Position is required to work in Raleigh, NC with a Hybrid schedule

Requirements

• 7+ years of professional experience in software development.
• Strong proficiency in Python programming language.
• Strong understanding of software development best practices and methodologies.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Experience with web frameworks (Django, Flask, FastAPI).
• Experience with customer facing API design and tradeoffs.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with system architecture and API design.
• Led a team or mentored Jr engineers
• Hands on experience working with AWS and/or Azure services, such as:
• Compute: EC2, Lambda, Azure Functions
• Storage: S3, Azure Blob
• Databases: RDS, DynamoDB, Cosmos DB, DocumentDB
• Messaging Services: AWS SNS
• Networking, IAM, and monitoring tools
• Experience working with cache databases and in-memory data stores such as Redis or Memcached to optimize read-heavy workloads, inference serving, and low-latency systems.
• Experience designing or working with data storage and retrieval systems, both structured and unstructured
• Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and search technologies (e.g., Solr, Elasticsearch, OpenSearch).
• Familiarity with observability stacks: logging (EFK, ELK), monitoring (Prometheus, Datadog, Grafana), and distributed tracing (OpenTelemetry).
• Experience integrating and managing messaging systems (e.g. AWS SNS, Kafka)
• Solid understanding of access control, IAM, RBAC, and secrets management tools (e.g., AWS Secrets Manager, Azure Key Vault).

Nice To Haves

• Knowledge of LLM, machine learning pipeline and deployment strategies.
• Knowledge of other programming languages (e.g., Go, Java).

Responsibilities

• Work closely with data scientists and engineers to understand product requirements and translate them into scalable software designs.
• Successfully implement and advocate for development processes, coding best practices, and code reviews
• Operate within various development environments (Agile, Scrum, Kanban, Waterfall) while collaborating with key cross-functional stakeholders
• Architect and optimize data storage and retrieval systems using structured and unstructured formats (e.g., S3)
• Build and integrate vector databases (e.g., Pinecone, Weaviate, FAISS) and traditional search technologies (e.g., Solr, Elasticsearch, OpenSearch) to power information retrieval and AI applications.
• Design and deploy messaging systems (e.g., AWS SNS) to support asynchronous and streaming workloads.
• Monitor system and application health in real-time to ensure performance and uptime
• Work with data scientists and engineers to define and track model performance, data drift, and pipeline failures
• Implement and enforce access control mechanisms, including IAM, OAuth2, RBAC, and secrets management systems like Vault or AWS Secrets Manager
• Act as a liaison between software engineering, data science, and DevOps teams
• Standardize workflows and toolchains across research and production environments
• Contribute to backlog grooming, sprint planning, architectural design sessions, and post-mortems.
• Design and implement caching strategies and low-latency data access layers to accelerate model inference, search, and data APIs.
• All other duties as assigned

Benefits

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
• Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees