Responsibilities Design end-to-end enterprise solution architecture for Java-based web applications on AWS. Translate business requirements into scalable, secure, resilient application and integration designs. Create and maintain architecture artifacts: HLD/LLD, component diagrams, deployment patterns, API contracts, and non-functional requirements (NFRs). Lead hands-on modernization initiatives, driving the transition from monolithic architectures to well-defined microservices-based systems using proven patterns (e.g., Strangler Fig, domain-driven decomposition), and defining service boundaries, API contracts, and data ownership models. Remain hands-on: develop critical components, create reference implementations, and enforce coding standards. Partner with DevOps to define CI/CD, infrastructure-as-code (IaC), observability, and production readiness. Ensure performance, scalability, HA/DR, and cost optimization on AWS. Lead and mentor a team of 5–7 software engineers responsible for BAU support and production stability, while ensuring SOC2-aligned operational practices including access control, audit readiness, change management, monitoring, and incident response compliance. Qualification & Experience  Java & Web Strong expertise in Java (8/11/17) and enterprise application design. Deep experience with Spring Boot (Spring MVC, Spring Security, Spring Data), REST APIs, and integration patterns. Solid system design fundamentals: concurrency, caching, idempotency, distributed transactions, eventual consistency. Strong database fundamentals with SQL and NoSQL concepts; ability to select appropriate persistence models per workload. AWS Cloud Proven hands-on experience designing solutions using AWS services such as EC2, ECS/EKS, Lambda, S3, RDS/Aurora, DynamoDB, VPC, ALB/NLB, Route 53, CloudFront. Security services: IAM, KMS, Secrets Manager, WAF; experience with secure-by-design architecture. Messaging/eventing: SQS, SNS, EventBridge, MSK (Kafka) (as applicable). Observability: CloudWatch (logs/metrics/alarms), X-Ray (tracing) or equivalent. Strong understanding of AWS Well-Architected Framework (security, reliability, performance efficiency, cost optimization, operational excellence). DevOps & Engineering Practices CI/CD with Jenkins, GitHub Actions, GitLab, or AWS CodePipeline/CodeBuild. Infrastructure as Code (Terraform or CloudFormation; AWS CDK is a plus). Testing mindset: JUnit/TestNG, integration testing, contract testing; exposure to performance testing is a plus. Operational readiness: SLOs/SLIs, monitoring/alerting, dashboards, and incident response basics. Nice-to-Have Experience with domain-driven design (DDD), event-driven architectures, and API gateway patterns. Kubernetes expertise, service mesh familiarity, and zero-downtime deployments (blue/green, canary). OAuth2/OIDC, SSO integrations, enterprise security reviews and threat modeling exposure. Experience building multi-tenant SaaS platforms or working in regulated environments (SOC2, IPAA, PCI). Ability to collaborate effectively with UI teams (React/Angular exposure). What Success Looks Like (First 90 Days) Assess current architecture and propose improvements aligned to NFRs and AWS best practices. Deliver key architecture artifacts (HLD/LLD, deployment topology, security model) and align stakeholders. Establish coding standards and reference patterns; uplift CI/CD and observability as needed. Lead 1–2 critical deliverables end-to-end (hands-on contribution plus team enablement). Education Bachelor’s in Computer Science/Engineering (or equivalent practical experience). Experience 10–15+ years

ResponsibilitiesCollaborate with our Development team on live projects Write clean, efficient, and well-documented code Learn and apply best practices in software development Debug, test, and enhance applications Participate in code reviews and team discussionsQualification & Experience  Students or recent graduates in Computer Science / Engineering or related fields Basic knowledge of Java / Python / JavaScript / C/C++ Understanding of HTML, CSS, and core web concepts Strong problem-solving mindset and eagerness to learn Good communication and teamwork skills Bonus Points If You Have Exposure to React, Angular, Node.js, Spring, or Django Familiarity with databases (SQL / NoSQL) Experience using Git or version control tools Basic understanding of REST APIs or Cloud platforms

Responsibilities Scalable Development: Write clean, efficient, and scalable code using the Python programming language and related frameworks. Develop responsive, high-performance, and maintainable user-facing features using React.js and modern frontend standards. Coordination: Coordinate closely with design teams and backend developers to integrate user-facing elements using server-side logic and ensure a cohesive user experience. API Development: Develop, test, and debug robust back-end components and APIs to support frontend functionality. Optimization: Reprogram existing databases and backend components to improve functionality and performance. Monitoring: Develop digital tools and logic to monitor online traffic and application health.ExperienceBachelor's degree in Computer Science, Computer Engineering, or a closely related technical field. 3+ years of proven professional experience as a Full Stack Developer in a fast paced environment. Must have good understanding and experience working with The Web Content Accessibility Guidelines (WCAG).

Responsibilities Team Leadership & Management Build, manage, and mentor a high-performing IT Operations team, including Cloud Engineers, SaaS Administrators, and Subject Matter Experts (SMEs). Foster a culture of collaboration, innovation, and continuous improvement, providing professional development and growth opportunities for team members. Serve as the primary escalation point for the IT Operations team, providing technical guidance and resolving complex IT business issues. Develop and maintain Standard Operating Procedures (SOPs), and best practices for our global IT department. Cloud Infrastructure Operations Oversee the administration, maintenance, and optimization of all internal Cloud Platform environments. Lead discussions with various teams regarding their use of internal cloud infrastructure to advise on best practices and methods to automate the provisioning and management of cloud resources. Ensure the availability, security, and cost-efficiency of our cloud infrastructure, including Compute Engine, GKE, Cloud Storage, BigQuery, Vertex AI, Gemini Enterprise, NotebookLM Enterprise, and others. Oversee the implementation of robust IAM policies, network security (VPCs, VPNs, firewalls), monitoring via the Cloud Operations suite, and logging.Experience8-10 years of progressive experience in IT Operations or Systems Engineering, including at least 4 years in a direct management capacity leading and mentoring technical teams. Strong leadership and English communication skills, with a proven ability to bridge time zones and cultural nuances while managing remote/offshore resources

Responsibilities Platform Engineering: Design and implement end-to-end data lakehouse architectures using Azure Databricks (Delta Lake),Azure HDInsights and Snowflake Cloud Data Warehouse. Pipeline Development: Build scalable, metadata-driven ETL/ELT pipelines using Azure Data Factory (ADF), PySpark, and SnowSQL, including ingestion workflows from HDInsight-managed Hadoop and Kafka clusters. Managed Services Support: Provide Tier-3 technical support for client environments, including performance tuning, complex bug fixes, and architectural optimizations. Multi-Cloud Integration: Oversee data movement and integration strategies across Azure, AWS, and GCP to ensure seamless "Data Everywhere" capabilities for clients. Cost & Performance Governance: Monitor and optimize Snowflake credit consumption and Databricks cluster usage to ensure clients receive maximum ROI. Security & Compliance: Implement enterprise-grade security including Role-Based Access Control (RBAC), Row-Level Security (RLS), and data masking (Dynamic Data Masking in Snowflake / Unity Catalog in Databricks).ExperienceExperience: 5+ years in Data Engineering, with at least 3 years of hands-on experience in both Snowflake and Databricks. Managed Services Background: Proven experience supporting external customers with strict SLAs and complex governance requirements.

Responsibilities Design, build, and maintain backend services and platform components in C#/.NET and C++ across a multi-repo codebase. Contribute to GitLab CI/CD pipelines and enforce quality gates (e.g., Coverity/TICS/SAST) as part of standard delivery workflows. Execute cross-repo changes, including coordinated releases, backports, and dependency alignment to support predictable delivery. Support dependency/baseline management and controlled runtime upgrades (e.g., .NET 8), including compatibility validation and rollout activities. Troubleshoot and resolve integration defects across services, libraries, and runtime environments; drive root-cause fixes and reduce recurrence. Strengthen operational readiness by implementing monitoring/ops components: health checks, structured logging, metrics/telemetry, and diagnostics hooks.

Responsibilities Risk Factory Support: Maintain and manage compliance to control requirements for previously identified and remedied Technology initiatives. Continuous maintenance of initiatives that reach certain maturity levels after having gone through Remediation, Sustainability and BAU phase from any of the Tech Factories (e.g. Audit, Risk, Cloud, Currency etc.) Maintain the process documents outlining how to test, who to engage, and what evidence to collect for in-scope control requirements (e.g., data encryption). Leverages existing SOPs and documentation to perform assessments in the following scenarios: New applications moving from Dev to production Existing Applications whose parameters (e.g., data classification) change, identified via regular reports Proactive Assessment - Perform assessments at regular intervals to determine if there are any vulnerabilities proactively Changes to the Enterprise Standard requirements.

Responsibilities Identify and document supplier-related non-conformances using internal systems (e.g., SAP, QMS) Perform root cause analysis (RCA) using engineering tools and methodologies (e.g., 8D, 5 Whys, Ishikawa) Collaborate with suppliers to understand technical issues and failure modes Develop and validate corrective actions with suppliers Ensure preventive measures are implemented to avoid recurrence Interface with supplier quality engineers to resolve NCs. Track and follow up on open issues until closure.

Responsibilities Analyze change and tool metrics to identify trends and automation opportunities for release process improvement. Develop models, procedures, and monitoring strategies within Release and Change Management scope. Apply End-to-End Release and Change Management frameworks (including ITIL, SOX, and SOC1 Controls). Utilize systems analysis skills in an Agile environment to ensure smooth and efficient software releases. Participate in daily team standups, providing updates on release challenges and backlog items. Work closely with development, QA, and DevOps teams to streamline deployment processes and minimize risks. Collaborate on software reliability improvements using Failure Modes and Effects Analysis (FMEA). Implement AI-driven solutions to enhance automation in release management. Leverage AWS and OpenShift cloud platforms for deployment scalability and efficiency. Ensure compliance with regulatory and security policies while maintaining accurate release documentation.Qualification & ExperineceBachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience). 7 to 10 years of experience in software development, release management, or change management. Prior experience in healthcare IT is a strong plus. Hands-on experience working in an Agile development environment.

Responsibilities Own reliability, availability, and operational health of mission?critical platforms and enterprise services. Lead resolution of high?severity and cross?domain production incidents, providing technical leadership during outages. Drive deep root cause analysis (RCA) and post?incident reviews, ensuring systemic and long?term remediation. Identify systemic reliability risks and lead preventative automation initiatives to eliminate recurring incidents. Guide vulnerability remediation, patching strategies, and compliance alignment across platforms.Qualification & Experinece11–13 years of experience in automation, SRE, DevOps, or production engineering roles. Proven leadership in system design, automation architecture, and reliability engineering.