Manager- Software Engineering

POSITION:

Manager - Software Engineering, reporting to Director, Software Engineering in Product and Engineering department, will be responsible for leading software engineering team to design, develop, maintain, and optimize software platforms & products. He/She will assist to Director, Software Engineering and Product Manager in developing short- and long-term strategies & roadmap for the technology development to manage/develop scalable software products.

RESPONSIBILITES:

People & Leadership

• Build, coach, and retain a high-performing team (hiring, onboarding, growth plans, performance reviews).
• Supervise a staff of software developers & Engg., Web developer, Data Engg., Test Engg., Development Lead, and DBA
• Source and coordinate proper training for team to complete their duties to the highest quality
• Set both group and individual goals annually, and write and perform staff reviews
• Provide guidance and mentorship to developers and the implementation team on the software development life cycle
• Foster a culture of ownership, psychological safety, and continuous improvement.
• Establish clear goals and measurable outcomes (OKRs/KPIs).

Delivery & Execution

• Translate product roadmaps into technical plans, milestones, and resource allocation.
• Drive engineering practices: clean code, testing, code reviews, documentation, observability.
• Execute product roadmap based on business requirements, standards, and best practices.
• Oversees project requirement gathering, technical specs, and Statement of Work (SOW), and development of product/platform
• Report on status of development, quality, operations, and system performance to management
• Increase visibility of system activities and improve monitoring capabilities
• Analyze project metrics and align initiatives with business unit s direction
• Own the technical testing strategies and infrastructure for ensuring the product/platform perform correctly and efficiently
• Resolving performance issues and making revisions when necessary
• Monitors, evaluates, and ensures the completion of tasks and projects

Architecture & Technical Direction

• Guide architecture across:
  • Backend: Python (FastAPI/Flask/Django, AsyncIO), Node.js/TypeScript (React/Next.js, Node.js).
  • Data: PySpark, Pandas, NumPy; ETL (Airflow, dbt), distributed systems (Spark/Hadoop).
  • Streaming: Kafka, RabbitMQ.
  • Datastores: Snowflake, PostgreSQL, MySQL; Redis/MongoDB/DynamoDB; Trino/Presto; Apache Iceberg.
• Champion cloud-native designs on AWS (EC2, Lambda, ECS, S3/EFS, ELB/CloudFront, Cognito, Shield, Secrets Manager/Vault, CloudWatch/X-Ray, RDS, OpenSearch, ElastiCache, SQS/SES, Bedrock).
• Oversee containerization/orchestration (Docker, Kubernetes, Helm) and CI/CD (ArgoCD, Jenkins, GitHub Actions).
• Set standards for observability (Prometheus, Grafana, Loki, Jaeger, OpenTelemetry) and incident response.

Security, Governance & Compliance

• Ensure data governance and regulatory compliance (GDPR, HIPAA) in collaboration with Security/Legal.
• Enforce identity & access controls, certificate management (Let s Encrypt), secret management (Vault/AWS Secrets Manager).
• Own risk assessments, runbooks, BCP/DR strategies.

Stakeholder & Cross-Functional Collaboration

• Represent the Engineering Department
• Partner with Product on scope, prioritization, trade-offs; align engineering capacity with business goals.
• Collaborate with SRE/Platform on reliability, performance, and cost optimization.
• Manage vendors and evaluate build vs. buy (e.g., AI platforms like Bedrock, Anthropic Claude).
• Collaborating with business, and other internal teams to define and own features development and rollouts
• Work collaboratively with the business and as part of larger product development organization
• Cross organizational boundaries to collaborate with other technology teams to solve complex, integrated problems
• Brainstorm with the data science team on ways to improve and extend our platform

REQUIREMENTS:

• 8+ years in software/data engineering; 3+ years managing teams delivering production systems.
• 5+ years of experience in leading software engg. teams
• 5+ years of design, development of SaaS platforms
• Track record shipping cloud-native services (preferably AWS) with containers/Kubernetes.
• Hands-on experience with Python (FastAPI/Flask/Django, AsyncIO) and React.js/Node.js/TypeScript.
• Strong data engineering fundamentals (PySpark, Airflow/dbt, Kafka/RabbitMQ, SQL/NoSQL).
• Proven ownership of observability, incident management, and SLOs.
• Experience in developing AI/ML solutions/platforms
• Experience with MLOps (MLflow/Kubeflow) and Generative AI patterns (LLMs, prompt engineering, fine-tuning, RAG).
• Deep understanding of secure systems design, GDPR/HIPAA, and identity/access control.
• Expertise with Apache Iceberg, Trino/Presto, and data virtualization.
• Background in API design (REST/GraphQL) and performance optimization (caching, load balancing).
• Prior work with Amazon Bedrock and integrating Anthropic Claude in production workflows.
• Strong understanding of web development/performance issues and mitigation approaches
• Demonstrated ability to use quantitative and qualitative data to drive improvements
• Excellence in technical communication with peers and remote teams, both technical and non-technical
• Attention to detail and ability to work simultaneously on multiple priorities
• Ability to work independently and as a team player
• Ability to understand others and clearly express thoughts
• Ability to manage multiple concurrent objectives, projects, or activities
• Ongoing innovation of the product and technology
• Strong communication, presentation, and interpersonal skills.
• Ability to apply tools, methodologies, and practices for the improvement of the software delivery process
• Familiarity with with GCP (BigQuery, Pub/Sub, Dataflow) or Azure (Data Factory, Synapse).
• Extensive experience with Tech Environments:

• Programming: Python (FastAPI/Flask/Django, AsyncIO), TypeScript (Node.js, React, Next.js)
• Data: PySpark, Pandas, NumPy; Airflow, dbt; Spark/Hadoop
• Streaming: Kafka, RabbitMQ
• Cloud: AWS (EC2, Lambda, ECS, S3/EFS, ELB, CloudFront, Cognito, Shield, Secrets Manager, CloudWatch/X-Ray, RDS, OpenSearch, ElastiCache, SQS/SES, Bedrock)
• Databases: Snowflake, PostgreSQL, MySQL, Redis, MongoDB, DynamoDB; Trino/Presto; Apache Iceberg
• Containers & CI/CD: Docker, Kubernetes, Helm, ArgoCD, Jenkins, GitHub Actions
• Observability: Prometheus, Grafana, Loki, Jaeger, OpenTelemetry
• Security & Compliance: Vault, Let s Encrypt, identity & access control (IAM), GDPR/HIPAA.

Qualifications

EDUCATIONAL QUALIFICATIONS

• Bachelors degree in Engg., Technology, Computer Science; Master s preferred
• 8-10 years relevant industry experience (Healthcare, Pharmaceutical Consulting, Management Consulting, Market Research, Hospital systems, Payers, Enterprise level data-analytical solutions)