Senior Software Architect

CyberSolve is a fastest growing IAM Specialist firm in the US with poised to become the world's largest company in the IAM space.

CyberSolve’s 250+ specialists solve interesting puzzles in Non-Employee IAM, Rapid App onboarding, access certifications, etc. for some of the largest retailers, banks, pharma giants, governments and airlines. We are expanding rapidly and searching for

Senior Software Architect.

On offer is a role with one of the most powerful IAM teams in the industry, solid projects, competitive salary, ability to expand into other areas of IAM etc. We invite you to join this team.

A detailed Job description for this role is as under :

Job Title : Senior Software Architect

Location :

Hybrid / Remote (Global)

Experience Level :

12+ years (minimum 5 years as a hands-on architect)

Department :

Product Engineering & Platform Architecture

About the Role

We are seeking a

hands-on Senior Software Architect

to lead the end-to-end design and development of next-generation products.

The ideal candidate combines deep expertise

in distributed systems, microservices, data engineering, and security architecture

with the ability to code, mentor, and own technical outcomes from concept to deployment.

You will define architectural blueprints, lead engineering design reviews, implement core components, and ensure the platform’s scalability, resilience, and compliance in hybrid-cloud environments.

Key Responsibilities

1. Architecture Ownership

Architect, design, and validate a

7-tier distributed architecture

spanning ingestion, streaming, correlation, analytics, APIs, and presentation layers.

Define and maintain system-wide

logical, physical, and data architectures , ensuring modularity and scalability across microservices.

Translate complex business requirements into

domain-driven design models

and well-defined service boundaries.

2. Technical Design & Development

Lead by example : design and develop

Spring Boot microservices , data processing pipelines, and core APIs.

Define best practices for

event-driven and reactive architectures

using

Kafka, WebFlux, and Redis.

Oversee design of the

Angular-based UI , ensuring seamless integration via REST / GraphQL APIs and secure OIDC authentication.

Optimize data flow across PostgreSQL, ElasticSearch, Neo4j, and S3 / Object Store.

3. Agentic AI Integration

Architect and implement Agentic AI modules that autonomously analyze data, detect risk patterns, and recommend remediation.

Collaborate with AI / ML teams to integrate LangChain4J, OpenAI API, or Vertex AI models into backend workflows.

Define autonomous orchestration loops where AI agents trigger correlation, policy tuning, or connector optimization.

Drive innovation in AI observability — ensuring transparency, explainability, and compliance of AI-driven actions.

4. Vibe Coding & AI-Augmented Engineering

Leverage vibe coding skills — advanced proficiency in collaborating with AI coding assistants (e.g., GPT-5, Copilot, CodeWhisperer) for rapid prototyping and code generation.

Establish patterns and best practices for AI pair programming, agentic code scaffolding, and autonomous test generation.

Mentor teams on how to effectively integrate AI tools into development, CI / CD, and data pipelines to accelerate delivery.

Lead by example through hands-on, AI-assisted coding sessions to drive productivity and innovation.

5. Data Engineering & AI Integration

Design robust

data ingestion and correlation pipelines

using Kafka, Spark, and Flink.

Integrate ML models (e.g., anomaly detection, risk scoring) into real-time workflows using Python-based services.

Collaborate with data scientists to operationalize ML models for access risk prediction and anomaly detection.

Govern

schema evolution and data lineage

through Kafka Schema Registry and version-controlled ETL processes.

6. Security, Compliance & Governance

Enforce

Zero Trust

principles across all tiers : mutual TLS, JWT authentication, and least-privilege service accounts.

Integrate with

Vault, Keycloak,

and

OPA

for secrets management, identity federation, and policy enforcement.

Define architecture for

immutable audit logging

and compliance zones (SOX, HITRUST, NIST).

7. Integration Leadership

Architect and oversee integrations with variety of cloud and on-premises solutions.

Standardize connector SDKs, webhooks, and SCIM / Syslog ingestion patterns.

Define API governance, versioning, and documentation standards (OpenAPI / Swagger, GraphQL schemas).

8. DevOps, Observability & Performance

Define CI / CD pipelines using

GitLab / Jenkins / ArgoCD

for continuous integration and deployment.

Establish observability with

Prometheus, Grafana, and OpenTelemetry ; define SLOs and performance KPIs.

Design for resilience : implement horizontal scaling, async retry mechanisms, caching, and partitioning strategies.

9. Leadership & Mentorship

Mentor a cross-functional team of backend, frontend, and data engineers.

Conduct design and code reviews, ensuring architectural consistency and technical excellence.

Partner with product management and stakeholders to align technical roadmaps with business vision.

Required Technical Skills

Core Architecture & Development

Strong command of

Java 17+, Spring Boot 3.x, Spring Cloud, Spring WebFlux

Proficiency in

Angular 16+ / TypeScript, NgRx, RxJS

Experience with

Kafka, Redis, PostgreSQL, Elasticsearch, Neo4j, S3 / Azure Blob

Deep understanding of

microservices, event-driven , and

domain-driven architectures

AI & Agentic Systems

Hands-on experience integrating LLMs (OpenAI / Vertex / LangChain4J) into production-grade systems.

Knowledge of autonomous agent frameworks, AI toolchains, and vector databases.

Proven proficiency in vibe coding — leveraging AI pair programmers for design, code, and documentation.

Data & Analytics

Proficient with

Apache Kafka Streams / Flink / Spark for ETL

and

stream processing

Familiarity with

ML model integration (Python, REST, or LangChain4J)

Knowledge of

graph analytics

and

identity correlation models

Security & Compliance

Expertise in

OAuth2, OIDC, SAML, and Keycloak

Hands-on with

Vault, OPA, TLS / mTLS, RBAC, audit logging

Knowledge of

Zero Trust, IAM / PAM / IGA ecosystems , and regulatory frameworks

Cloud & DevOps

Experience deploying to

AWS EKS / Azure AKS, with Kubernetes, Docker , and

Helm

CI / CD automation via

Jenkins, GitLab CI, or ArgoCD

Observability stack :

Prometheus, Grafana, ELK, OpenTelemetry

Preferred Experience

12+ years in software engineering, including 5+ as a principal or lead architect.

Experience designing

AI-augmented enterprise SaaS platforms

or

security analytics ecosystems.

Background in

data engineering, agentic AI systems , and

hybrid-cloud architecture .

Strong communication, mentorship, and cross-functional collaboration skills.