Platform Engineer – Full-Stack and AI Engineering

Synechron•Alpharetta, GA

3d•$110,000 - $115,000

About The Position

We are seeking a hands-on Platform Engineer with full-stack software development, platform engineering, and AI engineering experience. The role involves developing secure, scalable, and reliable platform capabilities for enterprise applications. The ideal candidate will contribute to software development, AI automation, architecture standards, system reliability, and production support. This position requires close collaboration with software engineering, SRE, cybersecurity, infrastructure, and production teams.

Requirements

Strong software development experience with Java, Python, C#/.NET, or comparable backend technologies.
Experience developing frontend applications with React, Angular, TypeScript, JavaScript, HTML, and CSS.
Experience designing and developing REST APIs, GraphQL APIs, microservices, distributed systems, and asynchronous services.
Strong knowledge of object-oriented programming, design patterns, data structures, algorithms, and software engineering principles.
Experience with relational databases such as PostgreSQL, Oracle, or SQL Server and NoSQL databases such as MongoDB, DynamoDB, or equivalent technologies.
Experience with messaging and event-driven systems, including Kafka, MQ, RabbitMQ, or comparable platforms.
Practical experience developing LLM applications, AI agents, prompt workflows, retrieval-augmented generation, embeddings, vector databases, or AI automation.
Experience with AI frameworks, agent orchestration, model APIs, tool calling, evaluation, monitoring, and responsible AI controls.
Experience with Docker, Kubernetes, Helm, service discovery, container security, and cloud or enterprise infrastructure platforms.
Strong experience with CI/CD tools, Git, automated testing, build pipelines, release management, and infrastructure as code using Terraform, Ansible, or equivalent technologies.
Knowledge of authentication and authorization protocols, including OAuth 2.0, OpenID Connect, JWT, RBAC, secrets management, and encryption.
Experience with application performance monitoring, distributed tracing, centralized logging, metrics, alerting, and SLO-based monitoring.
Ability to troubleshoot application, database, network, infrastructure, and third-party integration issues.
Strong understanding of secure coding, API security, dependency management, vulnerability remediation, and data protection.
Experience with financial services, wealth management, banking, trading, or other high-availability systems.
Experience with API gateways such as Apigee, Kong, or equivalent platforms.
Experience with Kafka, MQ, distributed caching, event streaming, and event-driven architecture.
Knowledge of MCP, vector search, agent orchestration, prompt engineering, model routing, AI observability, and AI governance.
Experience with multi-data-center architecture, disaster recovery, resilience engineering, chaos testing, capacity planning, and performance engineering.
Experience building internal developer platforms, service catalogs, automated compliance checks, platform engineering tools, or policy-as-code solutions.
Familiarity with public cloud services, including AWS, Azure, or Google Cloud.

Nice To Haves

Experience with Kubernetes operators, service mesh technologies, serverless platforms, or platform-as-a-product approaches.
Experience with OpenTelemetry, Prometheus, Grafana, Elasticsearch, Splunk, or comparable observability tools.
Experience with human-in-the-loop AI workflows, AI audit trails, model-risk controls, or production AI monitoring.
Familiarity with security scanning, software composition analysis, container scanning, and DevSecOps practices.
Bachelor’s or master’s degree in computer science, software engineering, information systems, or a related technical discipline.

Responsibilities

Design, develop, test, deploy, and support APIs, backend services, web applications, and developer platforms.
Build self-service portals, platform catalogs, reusable libraries, reference implementations, and engineering automation.
Develop integrations with microservices, relational and NoSQL databases, messaging systems, API gateways, and enterprise tools.
Create secure and maintainable code using appropriate design patterns, testing practices, and code-review standards.
Develop and maintain CI/CD pipelines, deployment automation, rollback processes, and infrastructure or configuration as code.
Build AI agents and LLM-enabled applications for knowledge discovery, architecture analysis, standards validation, evidence collection, and remediation planning.
Develop retrieval-augmented generation solutions using approved documents, source code, configuration, metadata, and platform knowledge.
Integrate AI agents with APIs and enterprise tools using controlled interfaces, tool calling, and Model Context Protocol (MCP), where applicable.
Implement AI evaluation processes covering accuracy, groundedness, safety, consistency, latency, cost, and response quality.
Apply AI security controls, including authentication, authorization, input validation, data protection, bounded execution, audit logging, human approval, and fallback behavior.
Use resilience patterns such as timeouts, retries, circuit breakers, bulkheads, idempotency, backpressure, and graceful degradation.
Implement high availability, failover, disaster recovery, data reconciliation, and recovery validation.
Develop observability using metrics, structured logging, distributed tracing, dashboards, health checks, and actionable alerts.
Support load testing, performance testing, failure testing, incident analysis, root-cause analysis, and production troubleshooting.
Convert architecture standards into reusable components, automated checks, policy-as-code, security guardrails, and reference designs.
Maintain technical documentation, architecture decision records, platform adoption guidance, and operational procedures.

Benefits

A highly competitive compensation and benefits package.
A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture.