Direct client position-Senior SaaS Software Release Manager -Bay Area, CA- 2 days Onsite

Accion Labs; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Accion Labs is seeking a Senior SaaS Software Release Manager in the Bay Area. You will own the architecture and continuous improvement of the end-to-end release system, supporting an AI-native SDLC and driving high-quality releases across engineering teams.

You will coordinate across stakeholders, design branching strategies, and enhance CI/CD tooling, ensuring release discipline and visibility. This role combines leadership with hands-on technical delivery in a fast-paced SaaS environment.

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 7+ years in DevOps, cloud infra management, or similar role.
• Strong understanding of AI-native SDLC, Agile, release management and deployment.
• Deep expertise in AWS, Azure, or GCP incl. infra automation.
• Knowledge of branching strategies, Git, release automation, CI/CD tools.
• Strong programming/scripting in Python, Bash, or Ruby.
• Proficiency with Docker, Kubernetes and IaC tools (Terraform, CloudFormation, Ansible).
• Understanding of networking, security, and cloud architecture.
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK).
• Excellent communication and cross-team coordination.

Responsibilities

• Own the architecture and continuous improvement of the end-to-end software release system.
• Drive timely, predictable releases across engineering teams with reliability.
• Manage the release calendar, milestones, readiness checkpoints, deployments.
• Coordinate across engineering, QA, DevOps, product, support, and business stakeholders.
• Design and evolve branching strategies, merge workflows, and release readiness.
• Architect and improve CI/CD pipelines and release tooling.
• Establish and enforce release processes, governance, and accountability.
• Communicate release status, risks, timelines, and decisions to stakeholders.
• Ensure release documentation, approvals, and post-release follow-ups are complete.

Skills

Release management

DevOps leadership

Agile methodologies

Cross-team coordination

Problem-solving

Education

Bachelor’s degree in Computer Science / Information Technology

Master’s degree preferred

Tools

Jenkins

GitLab

CircleCI

Docker

Kubernetes

Terraform

CloudFormation

Ansible

Argo CD

Helm

Job description

Role: Senior SaaS Software Release Manager

Location: 2 days office -Bay Area, CA

Own the architecture and continuous improvement of the end-to-end software release system, adopting emerging industry standards and fully supporting an AI-native software development lifecycle (AI-SDLC)

What You’ll Do

As a technical leader, you will own the architecture and continuous improvement of the end-to-end software release system, adopting emerging industry standards and fully supporting an AI-native software development lifecycle (AI-SDLC). You will drive timely, predictable, high-quality releases across engineering teams while balancing development velocity, release stability, and deployment reliability.

Key responsibilities:

• Manage the release calendar, schedules, milestones, readiness checkpoints, and deployment coordination.
• Coordinate across engineering, QA, DevOps, product, support, and business stakeholders; manage dependencies, competing priorities, risks, and blockers through resolution.
• Design and evolve branching strategies, merge workflows, code-freeze policies, release candidate validation, and deployment-readiness practices.
• Architect and improve CI/CD pipelines, build automation, merge validation, and release tooling with engineering and DevOps, delivering measurable gains in build stability, release cadence, quality, and deployment reliability.
• Establish and enforce clearly defined release processes, governance, and accountability; continuously improve tooling, automation, and operational practices.
• Communicate release status, risks, timelines, and decisions to stakeholders and leadership.
• Ensure release documentation, approvals, accurate records, and post-release follow-ups are complete.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 7+ years of experience in DevOps, cloud infrastructure management, or a similar role.
• Strong understanding of AI-native SDLC, Agile methodologies, release management, and deployment processes.
• Deep expertise in cloud platforms such as AWS, Azure, or GCP, including infrastructure management and automation.
• Advanced knowledge of branching strategies, Git/version control, release automation, and CI/CD tools such as Jenkins, GitLab, or CircleCI.
• Strong programming and scripting skills in Python, Bash, Ruby, or similar languages.
• Proficiency with Docker, Kubernetes, and infrastructure-as-code tools such as Terraform, CloudFormation, or Ansible.
• Deep understanding of networking, security, and cloud architecture, including VPCs, firewalls, load balancing, authentication, and data encryption.
• Familiarity with monitoring, logging, performance, and alerting tools such as Prometheus, Grafana, or the ELK Stack.
• Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and release risks.
• Excellent communication, stakeholder management, and cross-team coordination skills, with the ability to drive accountability and maintain release discipline.
• Ability to manage multiple priorities and projects in a fast-paced, complex engineering environment.
• Strong attention to detail, documentation discipline, and a results-driven focus on performance, efficiency, and scalability.
• Commitment to continuous learning and emerging technologies and release engineering practices.

Highly Recommended Experience

• Technical background in DevOps, software engineering, build/release engineering, or systems operations.
• Demonstrated proficiency with modern SaaS release and DevOps tooling, including GitHub/GitLab, CI/CD platforms, Docker, Kubernetes, Helm, Argo CD, Terraform, cloud deployment services, feature flagging, observability, security scanning, and AI-enabled delivery automation.

Preferred Qualifications

• Master’s degree in a relevant field or equivalent work experience.
• Experience in a global software company or high-volume production environment.