Job Description

Requirements:

• 5-7+ 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).
• Familiarity with CI/CD pipelines and tools.
• Experience with database design and management.
• Experience with system architecture and API design.
• Led a team or mentored Jr engineer s
• Experience Leading projects
• Serve as the initial point of escalation for software development issues within your area of responsibility.
• Write and review detailed specifications for the development of system components
• 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).

Preferred Skills

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

Responsibilities

Serve as the initial point of escalation for software development issues within specific area of responsibility.

Interface with other technical personnel or team members to finalize requirements.

Write and review portions of detailed specifications for the development of system components of moderate complexity

Complete complex bug fixes.

Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.

Successfully implement development processes, coding best practices, and code reviews.

Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.

Resolve complex technical issues as necessary.

Mentor and/or train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.

Keep abreast of new technology developments.

Design and work with complex data models.

Carry out management responsibilities in accordance with the organization's policies, procedures, and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; and addressing complaints and resolving problems.

Ensure all staff is provided with training and resources needed to perform their jobs to the most outstanding degree possible. Ensure all staff is provided with frequent feedback and coaching in order to meet and exceed individual and team performance goals consistently.

Manage and encourage new ideas from staff to foster improvements through innovations.

Empower the staff to be accountable and responsible for their own actions and decisions.

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 team

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.

Job Tags

Similar Jobs