Project description

Role Summary

We are seeking a Full Stack Software Engineer with strong operational and production support experience to support the Enterprise Archive Team and internal healthcare customers. The role focuses on data processing, system operations, application support, and process optimization, with an emphasis on reliability, communication, and continuous improvement.

The engineer will analyze incoming data, execute indexing and archival processes, support production environments, collaborate with analysts and customers, and proactively identify operational improvements. Strong UNIX/Linux expertise with additional knowledge of BASH scripts and excellent communication skills are critical for success in this role.
Key responsibilities will include:
Supporting the Enterprise Archive Team and internal customers.
Executing processes to index and archive data.
Collaborating on production support.
Offering feedback on process improvements.

Responsibilities

Support Enterprise Archive and internal customer systems

Analyze incoming project and application data

Apply and enforce data standards

Collaborate with project analysts and stakeholders for data preparation

Execute data indexing and archival workflows

Track progress, issues, and deadlines

Provide operational and production support

Review incidents and reported issues and drive resolution

Identify and implement process and workflow improvements

Maintain documentation and operational metrics

Participate in Agile and DevOps practices

Leverage enterprise-approved AI tools to enhance productivity

Skills

Must have

Technical Skills

UNIX / Linux Administration & Shell Scripting (BASH): 3–5+ years

Server navigation, scripting, automation, troubleshooting

Full Stack Development:

Java, JavaScript, Spring Boot, Microservices, Angular, ASP.NET, C#, C

Process & Systems Analysis: 3–5+ years

Navigating applications, workflows, and technical systems

Production Support / Operations: 5+ years

Incident management, monitoring, root cause analysis

Code Management: GitHub (3+ years)

Database & Data Processing:

MySQL, SQL, structured/unstructured data (3+ years)

Python (Basic): 2+ years (good to have)

LAMP Stack: 2+ years (good to have)

Linux, Apache, MySQL, PHP

Monitoring & Logging Tools: Dynatrace, Splunk, New Relic (preferred)

Containerization & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions (preferred)

AI & Automation Skills (Required)

All resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools, including:

Consistent Use:

Minimum 90% weekly usage of tools such as GitHub Copilot and Microsoft 365 Copilot

Applied Productivity:

Use AI for coding, documentation, analysis, and decision support

Continuous Learning:

Stay current with evolving GenAI capabilities and apply best practices

Domain & Business Skills

Healthcare systems and application workflow experience (3+ years preferred)

Data archiving, processing, and compliance awareness

Operational-centric mindset

Strong problem-solving and analytical thinking

Ability to work in complex, regulated environments

Excellent communication skills are the main requirement for this role.

Ability to clearly communicate with technical and non-technical stakeholders

Provide timely status updates and risk assessments

Document processes, issues, and solutions

Collaborate effectively in cross-functional teams

Support customers during production incidents

Communicate expectations, progress, and deadlines professionally

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

(or equivalent professional experience)

Nice to have

Cloud platforms (IBM Cloud, AWS, Azure, GCP)

SOLR, Object Storage

Advanced DevOps pipelines

Change management and adaptability

AI-driven analytics and automation

Other

Languages

English: C1 Advanced

Seniority

Regular

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IT-Software Engineer (Operational centric thinking/production support)

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