Key skills
AWSDockerDynamoDBJavaJenkinsNoSQLPythonSDLCSQLTerraformC++CAIMachine LearningLangChainAgenticSnowflakeGitLab CIECSLambdaS3CloudWatchSNSSQSBedrockAPI GatewayOAuthSAMLIdentity ManagementSSOGitLabAgileCI/CDLeadershipProduct ManagementCommunicationCollaboration
About this role
Role Overview
- Lead, mentor, and grow a team of software developers and AI specialists, fostering a culture of collaboration, innovation, and continuous learning
- Hire, develop, and manage a high-performing team, support career development paths and opportunities
- Define and execute the technical vision for MCP and Agentic AI initiatives, aligning team objectives with organizational priorities and customer needs
- Contribute to the technical roadmap and technical debt elimination, balancing time, resources, and quality constraints to achieve business and strategic goals
- Oversee project planning, resource allocation, and delivery timelines for software development releases
- Guide the integration of machine learning models, including LLMs, into production applications
- Ensure best practices in AI observability, code quality, and system scalability
- Evaluate and implement frameworks such as LangChain, FAISS, and others to enhance content retrieval and multi-agent orchestration
- Oversee documentation standards for APIs and MCP workflows
- Partner with product management, UX, and other engineering teams to deliver high-quality solutions
- Collaborate with product managers, software architects, user experience designers, and stakeholders to form technical solutions and align quality goals with business objectives
- Communicate project status, risks, and opportunities to stakeholders and executive leadership
- Present project updates, technical strategies, and key outcomes to senior leadership, ensuring alignment with organizational goals and securing support for major initiatives
- Champion the adoption of new technologies and methodologies to enhance team performance and product quality.
- Identify areas for improvement in existing systems and processes; lead regular reviews and audits.
- Ensure the reliability, security, and scalability of deployed AI services within AWS environments (Lambda, ECS, Aurora, S3, Bedrock).
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in software development and engineering, with a strong technical background
- At least 10 years of experience in software engineering, with 5+ years in a management or leadership role
- In-depth knowledge of the software development lifecycle (SDLC) and agile methodologies
- Proficiency in programming languages (e.g., Python, Java, C++)
- Experience with AWS services (API Gateway, Lambda, SQS/SNS, S3, CloudWatch, ECS, Load Balancer, Aurora, DynamoDB, Snowflake, Neptune)
- Experience with CI/CD tools and processes (e.g., Jenkins, GitLab CI, Docker, Terraform)
- Understanding of security compliance standards and regulations (e.g., SOC, FedRAMP, GDPR)
- Backend development experience with database interactions and knowledge of Graph, SQL, and NoSQL databases
- Strong knowledge in authentication/authorization frameworks (e.g., SSO, SAML, OAuth), secure transport (e.g., SSL, TLS), and identity management
- Prior experience integrating complex systems
- Excellent communication, problem-solving, and organizational skills
- Ability to work independently and as part of a team in a fast-paced, agile environment
Tech Stack
- AWS
- Docker
- DynamoDB
- Java
- Jenkins
- NoSQL
- Python
- SDLC
- SQL
- Terraform
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities