Software Engineering Manager

About the role

You will guide architecture and execution on greenfield initiatives while leading a distributed engineering team. The position supports Addepar's platform strategy for finance through hands-on technical leadership. You will own the technical vision and delivery for data and infrastructure initiatives that enable the platform. This role requires you to translate business objectives into technical roadmaps and prioritize work for an agile team. You will mentor engineers, facilitate design discussions, and ensure high standards of code quality and reliability. Collaboration with product and operations will be central to aligning technology with enterprise needs. You will remove blockers, manage dependencies, and foster an environment of continuous learning and improvement.

Key facts

What you'll do

Greenfield projects redefine what a lakehouse architecture can achieve to improve velocity and ship data and AI products.

Entire services are built and owned end-to-end to scale at the enterprise level Addepar serves.

A global team with varied experience is managed and developed to become productive and impactful.

Data and infrastructure operations are supported across Addepar's broader platform to align with global operating models.

You will design and implement scalable data pipelines that power critical financial workflows and decision-making.

Infrastructure as code practices will be applied to maintain robust, repeatable, and auditable cloud environments.

You will partner with cross-functional stakeholders to translate requirements into technical specifications.

The role involves mentoring engineers on distributed systems patterns and cloud-native technologies.

You will drive the adoption of observability and monitoring to ensure reliability and performance.

Collaboration with security and compliance will ensure solutions meet regulatory and governance standards.

You will evaluate and select technologies to future-proof the platform and reduce technical debt.

The position requires balancing strategic planning with hands-on implementation and code contributions.

Requirements

A Bachelor's degree in Computer Science or equivalent experience is required.

At least five years of professional experience is required.

Direct work with cloud infrastructure and infrastructure as code (for example Terraform) on AWS is required.

Deep technical knowledge of Java or Python and datastores such as DynamoDB, Postgres, and MySQL is required.

Understanding of systems design and distributed processing through technologies such as Apache Spark, Databricks, or Snowflake is a plus.

Familiarity with messaging technologies such as Kafka or AWS Kinesis or similar is a plus.

Ability to work legally in the United Kingdom without sponsorship is required from day one.

Experience leading agile software teams in a fast-paced, collaborative environment is required.

Strong written and verbal communication skills are required to articulate technical concepts clearly.

Practical notes

Onsite days and team details will be confirmed during the hiring process.

Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

Data platforms enable insight and decision support across investment and client workflows.

Cloud infrastructure as code and modern data stacks are central to delivering platform capabilities.

Agentic AI interfaces are emerging as a key trend in developer tooling.

Distributed systems design relies on reliable messaging and scalable datastores.

Inclusive collaboration across regions and time zones is essential for global finance operations.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.