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# Senior Software Engineer

- **Company:** BCforward
- **Location:** Indianapolis, IN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $74,880.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Groovy, HP Loadrunner, Apache JMeter, Python (Programming Language), Key Management, Systems Development Life Cycle, Trusted Systems, Data Logging, Scripting, Performance Testing, Spring-boot, Software Troubleshooting, Containerization, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Bare Metal, Splunk, Dynatrace, Docker
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/d56ed96a-b0a7-4e08-8ab1-4953151e0fc7

## About the Role

We are seeking a Senior Software Engineer (SRE) to join our dynamic team. The ideal candidate will have strong experience in Kubernetes, container platforms, CI/CD, observability, and distributed systems and a proven ability to drive automation, improve reliability, and deliver secure, scalable services., * Strong experience in SRE, Release Engineering, or Platform Engineering roles.

 * Hands-on expertise with Kubernetes orchestration and containerization using Docker.
 * Proven experience operating workloads on on-premise (bare metal or VMs) and PCF, with exposure to AWS or Azure.
 * Strong proficiency with CI/CD tools and scripting in Shell, Python, or Groovy; experience with automation frameworks.
 * Knowledge of monitoring, observability, performance testing, and scaling distributed systems (e.g., Dynatrace, Splunk, JMeter, LoadRunner).
 * Programming experience, preferably with Java and Spring Boot.

Preferred Skills:

 * Understanding of SDLC, Git-based workflows such as Gitflow, and peer review practices.
 * Expertise in troubleshooting and debugging, including thread and heap dump analysis and performance bottleneck resolution.
 * Familiarity with security principles and deployment of secure systems.
 * Exposure to Infrastructure as Code, DevOps, and GitOps practices.

## Description

* Ensure availability, performance, and resilience of workloads on Kubernetes, on-premise, PCF, or cloud platforms aligned to SLO/SLI objectives.
 * Design, build, and operate scalable, secure, and highly available containerized platforms and services.
 * Optimize capacity, performance, and cost efficiency across distributed systems.
 * Build and enhance CI/CD pipelines for fast, reliable, and repeatable deployments.
 * Automate infrastructure and operations using Infrastructure as Code and GitOps practices.
 * Plan and execute software releases across environments, including Kubernetes, AWS, Azure, PCF, and VMs.
 * Drive continuous improvement in release processes, deployment strategies, and development workflows.
 * Implement robust monitoring, logging, and tracing to enable proactive issue detection.
 * Conduct performance testing and tuning to ensure scalability and reliability.
 * Lead incident management, RCA, and postmortems to drive continuous improvement.
 * Ensure adherence to security, compliance, and enterprise standards across deployments.
 * Implement workload security, secrets management, and runtime protections.
 * Contribute to operational governance and platform standardization.
 * Partner with engineering, product, and operations teams to improve production readiness and system design.
 * Support troubleshooting, debugging, and issue resolution across environments with clear documentation.
 * Leverage AI-driven tools to enhance observability, incident response, release efficiency, and capacity planning; identify AI-enabled use cases for operational efficiency.