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 units 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) (React/ ).
  • 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 (Lets 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 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 ( React )
• 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 Lets Encrypt identity & access control (IAM) GDPR/HIPAA.

Qualifications :

EDUCATIONAL QUALIFICATIONS

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

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Our team is aware of recent fraudulent job offers in the market misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites unsolicited e-mails or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

From EVERSANAs inception Diversity Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths experiences and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity but also age disability status veteran status sexual orientation religion and many other parts of ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.

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Remote Work :

No

Employment Type :

Full-time