Lead - AWS DevOps

Designation: Team Lead - AWS DevOps

Job Location: Remote

About Syngene:  Syngene (www.syngeneintl.com) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.

At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit

Key Responsibilities and Major Duties

• Support, maintain, and enhance AWS cloud infrastructure platforms across Development, Validation, UAT, and Production environments, ensuring high availability, reliability, and operational excellence.

• Lead frontline support for cloud-hosted applications and infrastructure, including incident management, troubleshooting, root cause analysis, performance optimization, and SLA-driven resolution of production issues.

• Monitor and manage AWS services such as EKS, EC2, RDS, Redshift, S3, CloudFront, WAF, IAM, Route53, DynamoDB, Lambda, SNS, SQS, and CloudWatch to ensure platform stability, performance, and security.

• Lead production deployments, platform upgrades, change implementations, patching activities, vulnerability remediation, and infrastructure lifecycle management.

• Develop and maintain Infrastructure as Code (IaC) solutions using CloudFormation, Terraform, or equivalent automation tools to standardize and streamline cloud operations.

• Collaborate closely with Application, DevOps, Security, Data Engineering, Analytics Engineering, and Business teams to support onboarding initiatives, platform enhancements, migrations, and production releases.

• Support DataOps and AI platform operations, including Databricks, Redshift, Bedrock, AI Gateway, and related platform services, ensuring reliable execution of data pipelines, AI workloads, and business-critical applications.

• Implement and maintain monitoring, alerting, dashboards, operational runbooks, and automation solutions to improve observability and operational efficiency.

• Ensure compliance with enterprise security standards by supporting vulnerability remediation, IAM governance, backup management, disaster recovery preparedness, audit activities, and operational risk management.

• Work closely with Cloud Engineering teams on platform standardization, modernization, automation, and operational excellence initiatives.

• Support cloud cost optimization initiatives through resource right-sizing, utilization analysis, tagging governance, chargeback support, and FinOps best practices.

Core Technical Skills

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

• 3 to 5 years of experience managing and supporting enterprise cloud infrastructure, with at least 2+ years of hands-on AWS experience.

• Strong expertise in AWS services including EKS, EC2, RDS, S3, IAM, VPC, CloudFront, WAF, Route53, Lambda, CloudWatch, Redshift, and related cloud-native services.

• Experience with Kubernetes, containerized workloads, platform engineering, and EKS operations.

• Hands-on experience with Infrastructure as Code (CloudFormation, Terraform, AWS CDK, or equivalent).

• Experience working in production support environments with incident management, problem management, and operational SLA ownership.

• Knowledge of CI/CD pipelines, GitHub, GitHub Actions, Jenkins, ArgoCD, or related DevOps tools.

• Comfortable working with Data Engineering and Analytics teams; exposure to Databricks, AWS Glue, DBT, or similar data platform technologies is preferred.

• Working knowledge of AWS IAM, Secrets Manager, KMS, cloud security best practices, and vulnerability remediation processes.

• Strong troubleshooting and problem-solving skills across infrastructure, networking, security, databases, and cloud services.

Cloud, Database & Operational Tools

• Working knowledge of AWS data services used by enterprise data platforms, including Glue, Athena, Redshift, and Databricks, with the ability to support deployments, access management, networking, and performance-related issues.

• Understanding of DataOps practices such as pipeline orchestration, environment promotion (Dev/Val/Prod), job scheduling, failure recovery, and the operational impact of infrastructure changes on data workloads.

• Familiarity with databases and query engines such as PostgreSQL, Redshift, and Athena from an infrastructure perspective, including provisioning, backups, parameter tuning, connectivity, performance optimization, and IAM-based access controls.

• Familiarity with operational and collaboration tools such as Jira, Confluence, and ServiceNow, including incident, problem, change, and release management workflows.

• Experience with monitoring and observability platforms such as CloudWatch, Grafana, Prometheus, Datadog, Splunk, or equivalent tools, including alert tuning, dashboarding, and platform health monitoring.

• Exposure to cloud cost management and governance tools such as AWS Cost Explorer, Budgets, tagging strategies, and chargeback mechanisms for shared platform environments.

Additional Skills (Good to Have)

Experience supporting Generative AI, LLM, RAG, MCP, Bedrock, Claude, AI Gateway, or similar AI platform workloads in Production environments.

Experience building self-healing operational workflows, automation frameworks, and intelligent remediation solutions to improve platform reliability and reduce manual intervention.

Experience supporting validated, regulated, or GxP-compliant environments within pharmaceutical, healthcare, or life sciences organizations.

AWS Certifications such as Solutions Architect Associate/Professional, SysOps Administrator, DevOps Engineer, Security Specialty, or Kubernetes certifications.

Soft Skills

• Strong analytical thinking, problem-solving and debugging capabilities.
• Excellent communication and presentation skills, with the ability to explain technical issues and solutions to technical and non-technical stakeholders.
• Proactive attitude towards identifying operational improvements, automation opportunities and innovative solutions.
• Strong ownership, accountability and ability to work independently in a production support environment.
• Willingness to learn new technologies, adapt to evolving business requirements and collaborate across teams.
• Ability to prioritize multiple tasks, manage incidents effectively and work in a time-sensitive operational environment.

Equal Opportunity Employer:

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.