Director Software Engineering
Exelon
Director Software Engineering
Exelon
Regulated utility delivering electricity and gas
Docusign brings agreements to life. More than 1.8 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using the Docusign AI-native IAM platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
Docusign operates global, always-on services. To safeguard customer trust and empower our engineering teams, we are building the next generation of monitoring and troubleshooting capabilities.]
You will lead the engineering organization behind our AI-powered observability platform. Built to complement existing tools like Grafana, Prometheus, and Clickhouse/Azure Data Explorer , this platform addresses the challenges of information overload by making observability accessible to everyone. You will manage a multidisciplinary team of backend engineers, machine learning engineers, and data scientists to build predictive, automated insights while running a highly critical service with strict SLAs.
This positon is a apeople manager role reporting to the Senior Director, Software Engineering.
Responsibility
Manage high-throughput, real-time observability pipelines processing massive volumes of telemetry data across multi-region, multi-cloud environments
Operate a Tier-0 data plane with strict SLOs, disciplined change management, and high availability requirements
Serve as the observability backbone for every engineering team's reliability and velocity, dramatically reducing the time from "something's wrong" to "here's the problem"
Set a clear 12-24 month vision for AIOps capabilities, focusing on automated troubleshooting workflows, proactive anomaly detection, and smart alert aggregation
Bridge the gap between robust backend infrastructure and applied machine learning, ensuring models for auto-threshold estimation and pattern recognition are effectively trained and reliably deployed at scale
Drive availability, durability, incident readiness, and disaster recovery for the observability plane; run regular resilience drills
Lead, hire, and grow a senior-heavy team of backend engineers, ML engineers, and applied scientists. Build an architecture culture, clear career paths, and a high-judgment, high-ownership operating model
Own the annual operating plan for the AIOps platform capacity, availability, and budget, meeting or beating committed SLOs/SLAs
Drive the development of intelligent capabilities like automated impact analysis, ML-driven threshold estimation, and natural language interfaces to reduce alert noise and accelerate debugging
Continually improve ingestion latency, query performance, storage efficiency, and cost per unit while maintaining reliability through traffic spikes and deploys
Partner with SRE, Telemetry Platform, Security, Finance, and Product; make pragmatic build-vs-buy decisions; manage vendors and capacity commitments
Lead on-call and incident command for the observability platform
Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
Basic
12+ years in software/infra/platform engineering, including 6+ years operating high-scale, 24x7 back-end systems.
3+ years managing managers and senior ICs, specifically leading multidisciplinary teams across domains like backend engineering and machine learning.
Proven ownership of mission-critical services with strict SLOs, incident management, and change control.
Experience hiring, developing, and retaining senior/principal talent and building inclusive, high-trust teams.
Preferred
Familiarity with modern observability practices (metrics, logs, distributed tracing) and standards such as OpenTelemetry
Experience leading teams that build, train, and deploy machine learning models in production environments for AIOps, anomaly detection, or predictive analytics
Experience improving the performance and reliability of large telemetry/data pipelines at a multi-region scale
Exposure to multi-cloud environments and Kubernetes-based platforms
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
Washington, Maryland, New Jersey and New York (including NYC metro area): $202,100.00 - $299,625.00 base salary
This role is also eligible for the following:
Global benefits provide options for the following:
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [email protected].
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance.
AI in Our Hiring Process
At Docusign, we embrace technology to enhance efficiency and create a better candidate experience. We may record or transcribe interviews using enterprise AI tools to assist with meeting notes and interview documentation so our teams can stay fully engaged in the conversation. All hiring decisions remain 100% human-led. You have the right to opt out at any time by notifying your recruiter or interview team, with zero impact on your candidacy.
We encourage using AI tools to research and prepare beforehand. However, to ensure an authentic evaluation, live AI assistance or external recording bots during interviews are not permitted.
Applicant and Candidate Privacy Notice
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
#LI-Hybrid
Exelon is a public utility holding company that owns six regulated electric and gas utilities on the East Coast and in the Mid-Atlantic: Atlantic City Electric, Baltimore Gas and Electric, Commonwealth Edison, Delmarva Power, PECO, and Pepco. Its main work is delivering electricity and natural gas to about 11 million customers through these regulated utilities, and it earns revenue from state-approved rates for transmission and distribution rather than from energy commodity prices. The company supports grid modernization and infrastructure upgrades with substantial capital investments; its business model emphasizes reliable service, regulatory compliance, and predictable earnings tied to regulated rates. Exelon’s goal is to provide safe, dependable energy delivery and improve the electric grid, while growing through prudent investments within its regulated footprint.
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