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Custom Software Engineer
Bengaluru
Job No. atci-5090624-s1893020
Full-time
Jobbeschreibung
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : SAP HANA Technical Architecture
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
Design, build, and operate AI native, high performance SAP HANA platforms by combining deep SAP HANA technical architecture expertise with agentic AI patterns (LLMs + tools + retrieval + evaluation). This role focuses on architecting scalable, resilient, and intelligent HANA landscapes that support transactional, analytical, and AI enabled workloads—while embedding predictive operations, automated tuning, and self healing capabilities into the core database and platform layer.
Core Responsibilities
1) SAP HANA Architecture & Platform Design
Design end to end SAP HANA system architectures across single node, scale up, and scale out deployments.
Define landscape strategies for development, quality, and production environments, including high availability and disaster recovery.
Architect HANA platforms to support mixed workloads (OLTP, analytics, integration, AI consumption) with clear isolation and governance.
2) Performance, Scalability & Capacity Engineering
Design and continuously optimize HANA memory, CPU, storage, and network configurations for enterprise scale performance.
Apply data tiering, partitioning, and workload management strategies to balance cost and performance.
Lead capacity planning and growth forecasting to ensure future ready landscapes.
3) High Availability, Disaster Recovery & Resilience
Architect HA/DR strategies aligned to business RTO/RPO requirements.
Design failover, replication, backup, and recovery patterns that are automated, tested, and observable.
Ensure resilience across infrastructure, database, and application layers.
4) Security, Compliance & Platform Governance
Design secure HANA architectures covering encryption, authentication, authorization, auditing, and network isolation.
Enforce compliance and regulatory requirements through platform level controls and traceability.
Define standards and guardrails for HANA usage across application and integration teams.
5) AI Native Database Operations & Intelligence
Build database operations agents that analyze HANA telemetry (performance metrics, logs, alerts, query plans) to:
o Detect anomalies and early warning signals.
o Recommend or execute pre approved tuning actions (indexing, parameter adjustments, cleanup) with human in the loop controls.
Implement retrieval grounded assistance using architecture standards, historical incidents, tuning guides, and configuration baselines to ensure AI outputs are accurate and auditable.
Enable conversational diagnostics for architects and operators (e.g., why did latency spike , what changed since last release ).
6) Query Optimization & Data Access Strategy
Define data modeling and access patterns that maximize HANA pushdown and minimize data movement.
Guide application and ABAP teams on efficient CDS, SQL, and calculation view usage from an architectural perspective.
Establish platform level performance benchmarks and optimization playbooks.
7) Observability, Evaluation & Continuous Improvement
Define observability standards for HANA platforms: metrics, traces, alerts, and capacity dashboards.
Establish evaluation loops for AI behaviors in platform operations (false positives, recommendation accuracy, MTTR improvement).
Continuously refine automation, AI prompts, and tooling based on real production outcomes.
8) Modernization, Cloud & Ecosystem Integration
Support platform modernization initiatives including cloud adoption, hybrid architectures, and landscape consolidation.
Design HANA architectures that integrate cleanly with cloud services, data platforms, and AI runtimes.
Collaborate with Basis, application, integration, and data teams to deliver end to end platform excellence.
Primary Skills (AI Native Must Have)
Deep expertise in SAP HANA technical architecture, performance tuning, and platform design.
Strong understanding of HANA internals: memory management, persistence, workload management, and scaling strategies.
Proven experience designing HA/DR and resilient enterprise database landscapes.
AI native capability: building tool augmented workflows, retrieval grounded recommendations, evaluation loops, and safe automation boundaries.
Secondary / Strongly Beneficial Skills
Experience with SAP HANA in cloud and hybrid infrastructures.
Strong collaboration skills with Basis, ABAP, data, and infrastructure teams.
Exposure to automation frameworks and platform observability tools.
Knowledge of enterprise security and compliance requirements at the database/platform layer.
What This Role Does Not Center On
Training or fine tuning foundation AI models.
Reactive, manual database administration without intelligence or automation.
Value Delivered
Highly performant and resilient SAP HANA platforms designed for enterprise and AI workloads.
Reduced downtime and faster issue resolution through predictive, AI driven platform operations.
Scalable, future ready HANA architectures with strong governance, security, and operational excellence.
Additional Information
A 15 years full time education is required.
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : SAP HANA Technical Architecture
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
Design, build, and operate AI native, high performance SAP HANA platforms by combining deep SAP HANA technical architecture expertise with agentic AI patterns (LLMs + tools + retrieval + evaluation). This role focuses on architecting scalable, resilient, and intelligent HANA landscapes that support transactional, analytical, and AI enabled workloads—while embedding predictive operations, automated tuning, and self healing capabilities into the core database and platform layer.
Core Responsibilities
1) SAP HANA Architecture & Platform Design
Design end to end SAP HANA system architectures across single node, scale up, and scale out deployments.
Define landscape strategies for development, quality, and production environments, including high availability and disaster recovery.
Architect HANA platforms to support mixed workloads (OLTP, analytics, integration, AI consumption) with clear isolation and governance.
2) Performance, Scalability & Capacity Engineering
Design and continuously optimize HANA memory, CPU, storage, and network configurations for enterprise scale performance.
Apply data tiering, partitioning, and workload management strategies to balance cost and performance.
Lead capacity planning and growth forecasting to ensure future ready landscapes.
3) High Availability, Disaster Recovery & Resilience
Architect HA/DR strategies aligned to business RTO/RPO requirements.
Design failover, replication, backup, and recovery patterns that are automated, tested, and observable.
Ensure resilience across infrastructure, database, and application layers.
4) Security, Compliance & Platform Governance
Design secure HANA architectures covering encryption, authentication, authorization, auditing, and network isolation.
Enforce compliance and regulatory requirements through platform level controls and traceability.
Define standards and guardrails for HANA usage across application and integration teams.
5) AI Native Database Operations & Intelligence
Build database operations agents that analyze HANA telemetry (performance metrics, logs, alerts, query plans) to:
o Detect anomalies and early warning signals.
o Recommend or execute pre approved tuning actions (indexing, parameter adjustments, cleanup) with human in the loop controls.
Implement retrieval grounded assistance using architecture standards, historical incidents, tuning guides, and configuration baselines to ensure AI outputs are accurate and auditable.
Enable conversational diagnostics for architects and operators (e.g., why did latency spike , what changed since last release ).
6) Query Optimization & Data Access Strategy
Define data modeling and access patterns that maximize HANA pushdown and minimize data movement.
Guide application and ABAP teams on efficient CDS, SQL, and calculation view usage from an architectural perspective.
Establish platform level performance benchmarks and optimization playbooks.
7) Observability, Evaluation & Continuous Improvement
Define observability standards for HANA platforms: metrics, traces, alerts, and capacity dashboards.
Establish evaluation loops for AI behaviors in platform operations (false positives, recommendation accuracy, MTTR improvement).
Continuously refine automation, AI prompts, and tooling based on real production outcomes.
8) Modernization, Cloud & Ecosystem Integration
Support platform modernization initiatives including cloud adoption, hybrid architectures, and landscape consolidation.
Design HANA architectures that integrate cleanly with cloud services, data platforms, and AI runtimes.
Collaborate with Basis, application, integration, and data teams to deliver end to end platform excellence.
Primary Skills (AI Native Must Have)
Deep expertise in SAP HANA technical architecture, performance tuning, and platform design.
Strong understanding of HANA internals: memory management, persistence, workload management, and scaling strategies.
Proven experience designing HA/DR and resilient enterprise database landscapes.
AI native capability: building tool augmented workflows, retrieval grounded recommendations, evaluation loops, and safe automation boundaries.
Secondary / Strongly Beneficial Skills
Experience with SAP HANA in cloud and hybrid infrastructures.
Strong collaboration skills with Basis, ABAP, data, and infrastructure teams.
Exposure to automation frameworks and platform observability tools.
Knowledge of enterprise security and compliance requirements at the database/platform layer.
What This Role Does Not Center On
Training or fine tuning foundation AI models.
Reactive, manual database administration without intelligence or automation.
Value Delivered
Highly performant and resilient SAP HANA platforms designed for enterprise and AI workloads.
Reduced downtime and faster issue resolution through predictive, AI driven platform operations.
Scalable, future ready HANA architectures with strong governance, security, and operational excellence.
Additional Information
A 15 years full time education is required.
Qualifikationen
15 years full time education
