Platform Engineer(solution Architect)

Tata Consultancy Services

Alpharetta (GA)

On-site

USD 110,000 - 120,000

Full time

4 days ago

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Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support: Maternal & Parental Le

Insurance Options: Auto & Home

Commuter Benefits

Certification & Training Reimbursement

Vacation, Time Off, Holidays

Job summary

Tata Consultancy Services Limited in Alpharetta, GA is seeking a hands-on Platform Engineer with strong full-stack software development and AI engineering skills to join the CPS PEArch team. You will design, develop, test, deploy, observe, and support production-grade platform capabilities that empower Wealth Management applications and enable scalable, secure solutions.

You will own initiatives from design through coding, collaborate across core platform, application development, SRE,

Qualifications

Hands-on software development using Java, Python, C#/.NET
UI development with React, Angular, or TypeScript
Ownership from design through operations in production
Experience designing APIs, distributed systems, and data access

Responsibilities

Design, develop, test, and operate production-grade APIs, backend services, and web apps.
Build self-service portals, platform catalogs, and reusable components to enable platform adoption.
Develop integrations across services, databases, messaging, APIs, and enterprise tools.
Own capabilities through CI/CD, deployment, rollback, and documentation.
Engineer AI agents and automation, with evaluation and safe governance.

Skills

Java

Python

C#/.NET

React/Angular/TypeScript

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

CI/CD

Job description

Must Have Technical/Functional Skills

We are seeking a hands-on Platform Engineer with strong full-stack software development and AI engineering skills to join the CPS PEArch team.

PEArch team designs, builds, and governs scalable, secure, and resilient platform capabilities that support critical Wealth Management applications. Its mission is to turn architectural standards into reusable engineering solutions, platform services, AI agents, and automation that application teams can adopt at scale.

This is a software engineering role with architecture responsibilities-not solely an infrastructure administration or architecture-review position. The candidate will own solutions from design and coding through testing, deployment, observability, and production support. Candidate will collaborate with Core Platform Engineering, application development, embedded SRE, cybersecurity, infrastructure, and production-management teams to improve reliability, accelerate delivery, and strengthen engineering standards.

Key Responsibilities

Full-Stack Software and Platform Development
- Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.
- Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.
- Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
- Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness.
- AI Engineering and Intelligent Automation
  - Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
  - Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
  - Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
  - Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
  - Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
  - Automate architecture-review feedback and remediation tracking within developer workflows.
Resilience, Scalability, and Operational Excellence
- Identify and remediate single points of failure, shared-resource risks, scaling bottlenecks, and critical dependency weaknesses.
- Implement timeouts, bounded retries, circuit breakers, bulkheads, idempotency, backpressure, and graceful degradation where appropriate.
- Design and validate high-availability, failover, disaster-recovery, and data-reconciliation capabilities aligned with business requirements.
- Build observability through metrics, structured logs, distributed tracing, dashboards, and actionable alerts.
- Partner with SRE and application teams on load testing, fai lure testing, incident analysis, and recovery validation.
Architecture Standards and Platform Governance
- Translate architectural patterns and standards into reusable libraries, reference implementations, automated checks, and engineering guardrails.
- Develop and maintain the infrastructure platform catalog, adoption guidance, and architecture decision records.
- Detect deviations from approved designs and service-level objectives, and help teams prioritize corrective actions.
- Promote consistent API design, secure integration, platform reuse, and measurable production-readiness criteria.
- Share engineering practices through demonstrations, documentation, mentoring, and PEArch Guild sessions.

Required Qualifications

Strong hands-on software development experience using Java, Python, C#/.NET, or comparable backend technologies.
Experience developing user interfaces with React, Angular, TypeScript, or an equivalent modern framework.
Demonstrated ownership of production applications or platform services, from design through operational support.
Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access.
Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation.
Experience with containers, Kubernetes or equivalent platforms, CI/CD, and infrastructure/configuration as code.
Strong understanding of authentication, authorization, secrets management, secure coding, and data protection.
Ability to diagnose application, database, network, and dependency-related performance or reliability issues.
Strong collaboration skills and the ability to explain technical decisions and trade-offs to diverse stakeholders.

Preferred Qualifications

Experience with Wealth Management, banking, trading, or other high-availability transaction-processing systems.
Familiarity with API gateways such as Apigee, messaging platforms such as Kafka or MQ, and distributed caching.
Experience with MCP integrations, agent orchestration, vector search, AI evaluation, and production AI monitoring.
Knowledge of multi-data-center architecture, disaster recovery, SLOs, and resilience testing.
Experience building internal developer platforms, service catalogs, policy-as-code, or automated architecture-governance capabilities.

TCS Employee Benefits Summary

Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range

Salary Range: $110,000 - $120,000 a year

Location

Alpharetta, GA

Function

TECHNOLOGY

Role

Senior Engineer

434321

Skills

Java | Python

Salary Range