Senior DevOps Engineer

BitSight Technologies•Boston, MA

2d•$106,000 - $150,000•Remote

About The Position

Bitsight is seeking an experienced, adaptable Senior DevOps Engineer to join its multicultural DevOps team within Platform Engineering. The team streamlines and automates development and operations to enable faster, more efficient, and reliable software delivery. Development and DevOps work as one engineering team, without silos, to deliver business value. This engineer will serve as a technical reference and strategic leader, operating and improving Bitsight’s SaaS cloud infrastructure with a focus on reliability, efficiency, and security. The role is remote within the United States and limited to the Eastern Time Zone. Occasional off-shift availability may be needed for production issues or maintenance. The engineer will lead complex system-level design and problem solving, anticipate performance and scalability issues, and advance infrastructure automation and AI-enabled delivery. AI-assisted infrastructure work must be manually and staging validated before production, with its operational quality, costs, and return on investment actively managed. The role also contributes to team efficiency and cross-team technical decisions, sets infrastructure best practices, promotes high-quality documentation, and mentors early-stage senior engineers. Bitsight provides a base salary range of $106,000–$150,000 annually for US-based employees, plus eligibility for a bonus or commission plan and an equity grant. The company offers benefits including medical, dental, and vision insurance; paid parental leave; flexible time off; a 401(k) plan with employee and company contribution opportunities; life and disability insurance; and tuition reimbursement. Bitsight is an equal opportunity employer and provides reasonable accommodations to qualified individuals with disabilities or sincerely held religious beliefs.

Requirements

Proven experience as a DevOps or Operations engineer in a SaaS environment.
Extensive experience with Linux systems; Ubuntu, Debian, and CentOS are preferred.
Experience with automation scripting, including Bash and Python.
Deep experience with container technologies such as Docker and Kubernetes.
Experience with major cloud providers such as AWS, Google Cloud, or Azure.
Strong expertise in infrastructure-as-code principles and tools such as Terraform.
Fluency in using AI tools to accelerate infrastructure delivery, with the ability to validate, govern, and measure the return on investment of AI-assisted automation safely.
Strategic thinking, including understanding the customer’s job to be done and gathering empirical data to guide decisions.
Bias for action on difficult decisions, accountability, and proactive communication of status, risks, and milestones.
Well-organized and team-oriented, with excellent written and spoken English communication skills.

Nice To Haves

Familiarity with CI/CD tools such as Jenkins and GitLab.
Familiarity with configuration management tools such as Chef and Ansible.
Experience with observability, monitoring, and logging stacks such as Prometheus, Grafana, JSM, Datadog, SumoLogic, ELK, and Groundcover.
Strong understanding of network engineering and security principles, including Internet protocols, firewalls, and routing.

Responsibilities

Operate, scale, and troubleshoot Bitsight’s SaaS cloud infrastructure, focusing on reliability, efficiency, and security.
Provide occasional off-shift availability for production issues or maintenance.
Design solutions for complex system-level challenges affecting multiple components and anticipate performance and scalability issues.
Develop self-optimizing infrastructure systems and use AI to accelerate feature delivery, validating AI-assisted automation manually and in staging before production deployment.
Manage the costs and return on investment of AI-driven systems.
Break complex problems into optimized parallel work streams to enable team efficiency.
Propose creative solutions, lead design discussions, and provide technical advice that affects multiple teams.
Drive organizational infrastructure best practices and advocate for high-quality documentation.
Mentor early-stage senior engineers on system design.
Proactively communicate project status, risks, and milestones to stakeholders.