Senior Vice President, Infrastructure Solution Engineer

Archer; Pittsburgh (Allegheny County); On-site; USD 110,000 - 190,000; Full time

Job summary

Archer, in collaboration with BNY, seeks a backend engineer to design, develop, and maintain scalable services and APIs using Java/Spring and Python. You will own observability integrations across enterprise platforms, build telemetry pipelines, and ensure code quality through tests, reviews, and secure practices.

Responsibilities include containerized deployment pipelines with Docker/Kubernetes, Git, and CI/CD, plus collaboration with product, architects, and DevOps to accelerate delivery using

Qualifications

• Design, develop, and maintain scalable backend services and APIs using Java/Spring and Python.
• Build solutions across the full software lifecycle, including frontend when needed, automated testing, code reviews, and translating requirements into maintainable code.
• Design and maintain observability integrations across enterprise platforms with telemetry pipelines, health checks, and self-healing automation.
• Develop observability and infrastructure integrations with ITSM, telemetry, and monitoring platforms.
• Emphasize test-driven development, automated testing, secure coding, peer reviews, and adherence to coding standards.
• Create and manage containerized pipelines using Docker, Kubernetes, Git, and CI/CD tools.
• Leverage AI-assisted engineering tools to accelerate development and collaborate with cross-functional teams.

Responsibilities

• Design backend APIs and services with a focus on reliability and performance.
• Implement automated tests and ensure high-quality, secure code across services.
• Build and maintain instrumentation and telemetry pipelines for operational visibility.
• Develop integrations with enterprise monitoring and ITSM platforms.
• Establish and enforce coding standards, reviews, and vulnerability scanning.
• Create containerized deployment pipelines for efficient promotion to prod environments.
• Collaborate with product, architects, and DevOps to deliver business value.

Skills

Backend design

Java/Spring

Python

Observability

CI/CD

Tools

Docker

Kubernetes

Git

CI/CD platforms

AppDynamics

Dynatrace

Prometheus

Grafana

Splunk

OpenTelemetry

Job description

Archer is collaborating with BNY to connect them with exceptional professionals for this role.

To be successful in this role, we’re seeking the following:

• Design, develop, and maintain scalable backend services and APIs using Java/Spring and Python, with strong focus on reliability, performance, and seamless integration across distributed application components and enterprise platforms.
• Build modern engineering solutions across the full software lifecycle, including frontend development where needed, automated testing, code reviews, troubleshooting, and translating business and technical requirements into high-quality, maintainable code.
• Design, build, and maintain observability integrations and custom monitoring solutions across enterprise platforms such as AppDynamics, Dynatrace, ThousandEyes, SolarWinds, Prometheus/Grafana, Moogsoft, and Splunk, including instrumentation with Open Telemetry and development of telemetry pipelines, health checks, synthetic monitoring, and self-healing automation to strengthen operational visibility and service resilience.
• Develop and support observability and infrastructure integration capabilities, including integrations with enterprise monitoring, telemetry, and ITSM platforms, as well as custom health checks, automation, and telemetry solutions to improve operational insight and resilience.
• Drive strong software quality, security, and engineering standards through test-driven approaches, comprehensive automated test coverage, secure software development practices, peer review, vulnerability scanning, and adherence to coding and architectural standards.
• Build and maintain containerized delivery and deployment pipelines using tools such as Docker, Kubernetes, Git, and CI/CD platforms, enabling automated, secure, and efficient promotion of code through development and production environments.
• Leverage modern AI-assisted engineering tools and emerging AI capabilities to accelerate development, improve productivity, and enhance solutions, while collaborating effectively with product owners, architects, DevOps, QA, and cross-functional teams to deliver business value.