Job opportunity
Senior Engineering Leader – DevSecOps, Platform Transformation & AI Systems
Apexon
We are looking for a senior engineering leader with
10+ years of production software engineering experience
to work directly with senior stakeholders at a large financial institution. This is a
hands‑on engineering role
focused on enterprise‑scale engineering transformation, automation, and platform modernization.
The ideal candidate comes from a strong
software engineering background
with experience in
production systems, DevSecOps, SDLC automation, and agentic enterprise systems , along with strong communication and stakeholder management skills.
Key Responsibilities
Lead enterprise engineering transformation in a regulated banking environment
Automate end‑to‑end
Software Development Lifecycle (SDLC)
processes
Design and implement
DevSecOps pipelines and automation frameworks
Improve
engineering productivity
through automation of:
Testing and deployment workflows
Release and governance processes
Design and implement
context‑aware systems (Context Engineering)
for enterprise use cases
Build and support
enterprise AI / agent‑based systems (beyond chatbots)
Work on
Agentic RAG systems in production environments
Configure and implement the
Harness platform
for CI/CD, deployment governance, and release automation
Collaborate with enterprise architecture and governance teams
Engage directly with senior business and technology stakeholders
Must Haves
10+ years of
production software engineering experience
Deep expertise in
SDLC automation and DevSecOps
Experience automating
CI/CD, testing, deployment, and release pipelines
Experience with
MCP servers or enterprise AI platform engineering
Experience automating
governance processes (ARB or similar)
Strong understanding of
context engineering in enterprise systems
Experience with
agentic systems / Agentic RAG in production (not chatbot PoCs)
Strong system design and architectural thinking
Excellent communication skills with the ability to work with senior stakeholders
Nice to Haves
Experience in
banking, payments, or capital markets
Exposure to
enterprise knowledge graphs or context systems
Hands‑on experience with any harness platform (agentic CI/CD + release governance)
Consulting or client‑facing delivery experience in regulated environments
Contributions to
open‑source AI/LLM/agent frameworks or engineering tools
Experience leading
large‑scale engineering transformation programs
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Or equivalent real‑world experience in large‑scale production engineering environments
#J-18808-Ljbffr
Apply on source site 10+ years of production software engineering experience
to work directly with senior stakeholders at a large financial institution. This is a
hands‑on engineering role
focused on enterprise‑scale engineering transformation, automation, and platform modernization.
The ideal candidate comes from a strong
software engineering background
with experience in
production systems, DevSecOps, SDLC automation, and agentic enterprise systems , along with strong communication and stakeholder management skills.
Key Responsibilities
Lead enterprise engineering transformation in a regulated banking environment
Automate end‑to‑end
Software Development Lifecycle (SDLC)
processes
Design and implement
DevSecOps pipelines and automation frameworks
Improve
engineering productivity
through automation of:
Testing and deployment workflows
Release and governance processes
Design and implement
context‑aware systems (Context Engineering)
for enterprise use cases
Build and support
enterprise AI / agent‑based systems (beyond chatbots)
Work on
Agentic RAG systems in production environments
Configure and implement the
Harness platform
for CI/CD, deployment governance, and release automation
Collaborate with enterprise architecture and governance teams
Engage directly with senior business and technology stakeholders
Must Haves
10+ years of
production software engineering experience
Deep expertise in
SDLC automation and DevSecOps
Experience automating
CI/CD, testing, deployment, and release pipelines
Experience with
MCP servers or enterprise AI platform engineering
Experience automating
governance processes (ARB or similar)
Strong understanding of
context engineering in enterprise systems
Experience with
agentic systems / Agentic RAG in production (not chatbot PoCs)
Strong system design and architectural thinking
Excellent communication skills with the ability to work with senior stakeholders
Nice to Haves
Experience in
banking, payments, or capital markets
Exposure to
enterprise knowledge graphs or context systems
Hands‑on experience with any harness platform (agentic CI/CD + release governance)
Consulting or client‑facing delivery experience in regulated environments
Contributions to
open‑source AI/LLM/agent frameworks or engineering tools
Experience leading
large‑scale engineering transformation programs
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Or equivalent real‑world experience in large‑scale production engineering environments
#J-18808-Ljbffr