Director of Platform Engineering Jobs
Director of Platform Engineering jobs are open across cloud services, fintech, healthtech, e-commerce, and enterprise software, from senior engineer to VP of Engineering, with specializations in cloud infrastructure, developer experience, and site reliability engineering. Scan the live roles below and apply to whichever ones fit.
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Actian is the company behind the Data Intelligence Platform — an enterprise solution that helps organisations discover, govern, and trust their data at scale. Our platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions. We operate globally, move fast, and build for the long term.
Software engineering is being redefined. The engineers who will shape the next decade of product development are not the ones who write the most code — they are the ones who know how to think clearly, ship confidently, and use every tool available to them, including AI, to multiply their impact.
The Actian Data Intelligence Platform helps teams find, understand, and use AI-ready data under clear governance. It connects metadata, data lineage, data quality, and business context into a single knowledge graph, so enterprises can turn raw data into reliable decisions — the trusted foundation that AI agents increasingly depend on to work. We operate globally, move fast, and build for the long term.
The Data Intelligence Platform has to deploy, operate, and pass audits in every one of the environments our customers run — public cloud, private cloud, and on-premises. We are standing up a dedicated platform team to make that possible, and we are hiring the leader who will build it.
This is a hands-on director role. You will stand up and lead a newly formed platform team, hire and grow it, and build alongside it from day one: you will design the platform services, write infrastructure code, and set the engineering standards the rest of engineering relies on.
We are an AI-first engineering organization, and in this role AI is how the work gets done. AI agents run operational tasks, AI accelerates the team's own engineering, and AI replaces tools we pay for today but no longer need. You will also build the infrastructure that runs the AI and ML workloads inside our product.
What You Will Own:
Platform services for the Data Intelligence Platform, including the infrastructure behind the data catalog, the knowledge graph, and the APIs that power customer integrations.
Cloud-agnostic deployment of the Platform across AWS, a second public cloud (Azure or Google Cloud), and customer on-premises and private-cloud environments — including packaging, installation, upgrades, and supportability.
The internal developer platform and CI/CD, including GitOps delivery, so engineering teams ship safely and quickly.
Security operations and compliance evidence for SOC 2 Type II, ISO 27001, and GDPR — including EU data residency — in partnership with the security team.
Cloud cost management and FinOps, with clear cost visibility and accountability across every environment.
Infrastructure for the AI and ML workloads used by the Platform.
Observability, reliability, and incident response for the services the team runs, including the team's on-call rotation.
Building and growing the team — hiring platform engineers, setting the operating model, and establishing the standards and rituals the team works by.
What You Will Deliver in Your First 12 Months:
High-functioning platform team: an operating model in place, and clear ownership boundaries with the product engineering teams you serve.
Portable, cloud-agnostic deployments: one deployment model that runs the Platform on AWS, on at least one other cloud, and on customer infrastructure — defined as code and delivered through GitOps.
AI agents running operations: agents that handle routine operational work — triage, remediation, change validation, and reporting — with measurable reductions in manual effort and a smaller tool footprint.
Platform foundations for the data catalog, the knowledge graph, and integration APIs: scalable, observable infrastructure that product teams build on.
Compliance automation and audit readiness: evidence for SOC 2 Type II, ISO 27001, and GDPR collected automatically from the platform rather than assembled by hand before each audit.
We expect this leader to treat AI as part of the platform. That means you will:
Design and run AI agents that operate infrastructure under clear guardrails — human approval for high-risk changes, and full audit trails.
Review our current tooling and retire tools that AI agents or simpler automation can replace, with a cost and risk case for each change.
Use AI coding and operations assistants in your own daily work, and set the standard for how the team uses them.
Build the compute, data, and access patterns that let AI and ML workloads run reliably in every environment we support.
What You Bring:
10+ years in platform engineering, infrastructure, DevOps, or SRE, including 3+ years managing engineers — with experience building or scaling a team, not only running an established one.
AI-first mindset, making extensive use of this technology for accelerating developments.
A track record of shipping on-premises or self-hosted software that customers install and run in their own environments.
Deep, hands-on experience with Kubernetes in production, infrastructure as code (Terraform/Terragrunt), and GitOps delivery with Argo CD or similar tooling.
Strong AWS experience, and the judgment to design for portability rather than lock-in to a single cloud.
Hands-on experience operating systems under SOC 2, ISO 27001, and GDPR controls, including data-residency requirements.
Experience managing cloud costs and making cost trade-offs explicit to engineering and business leaders.
Clear written communication, suited to a fully remote team across US and EU time zones.
Nice to Have:
Experience running infrastructure for data platforms, data catalogs, or graph databases.
Production experience on Azure or Google Cloud in addition to AWS.
Experience with air-gapped or restricted-network customer deployments.
Experience building infrastructure for AI and ML workloads, including model serving and vector or graph data stores.
Observability with OpenTelemetry or comparable tooling, from instrumentation through alerting.
Privileged access management with StrongDM or a comparable tool.
What We Value:
How You Will Work:
You will report to the SVP of Engineering and work closely with product engineering, security, customer success, and support. The role is fully remote from the US, UK, Spain, France or Germany, with at least four hours a day of overlap with both US Eastern Time and Central European Time. Expect occasional travel for team offsites and company-wide meetings.
What We Offer:
- The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
- Collaboration with a passionate and diverse team.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Actian is the company behind the Data Intelligence Platform — an enterprise solution that helps organisations discover, govern, and trust their data at scale. Our platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions. We operate globally, move fast, and build for the long term.
Software engineering is being redefined. The engineers who will shape the next decade of product development are not the ones who write the most code — they are the ones who know how to think clearly, ship confidently, and use every tool available to them, including AI, to multiply their impact.
The Actian Data Intelligence Platform helps teams find, understand, and use AI-ready data under clear governance. It connects metadata, data lineage, data quality, and business context into a single knowledge graph, so enterprises can turn raw data into reliable decisions — the trusted foundation that AI agents increasingly depend on to work. We operate globally, move fast, and build for the long term.
The Data Intelligence Platform has to deploy, operate, and pass audits in every one of the environments our customers run — public cloud, private cloud, and on-premises. We are standing up a dedicated platform team to make that possible, and we are hiring the leader who will build it.
This is a hands-on director role. You will stand up and lead a newly formed platform team, hire and grow it, and build alongside it from day one: you will design the platform services, write infrastructure code, and set the engineering standards the rest of engineering relies on.
We are an AI-first engineering organization, and in this role AI is how the work gets done. AI agents run operational tasks, AI accelerates the team's own engineering, and AI replaces tools we pay for today but no longer need. You will also build the infrastructure that runs the AI and ML workloads inside our product.
What You Will Own:
Platform services for the Data Intelligence Platform, including the infrastructure behind the data catalog, the knowledge graph, and the APIs that power customer integrations.
Cloud-agnostic deployment of the Platform across AWS, a second public cloud (Azure or Google Cloud), and customer on-premises and private-cloud environments — including packaging, installation, upgrades, and supportability.
The internal developer platform and CI/CD, including GitOps delivery, so engineering teams ship safely and quickly.
Security operations and compliance evidence for SOC 2 Type II, ISO 27001, and GDPR — including EU data residency — in partnership with the security team.
Cloud cost management and FinOps, with clear cost visibility and accountability across every environment.
Infrastructure for the AI and ML workloads used by the Platform.
Observability, reliability, and incident response for the services the team runs, including the team's on-call rotation.
Building and growing the team — hiring platform engineers, setting the operating model, and establishing the standards and rituals the team works by.
What You Will Deliver in Your First 12 Months:
High-functioning platform team: an operating model in place, and clear ownership boundaries with the product engineering teams you serve.
Portable, cloud-agnostic deployments: one deployment model that runs the Platform on AWS, on at least one other cloud, and on customer infrastructure — defined as code and delivered through GitOps.
AI agents running operations: agents that handle routine operational work — triage, remediation, change validation, and reporting — with measurable reductions in manual effort and a smaller tool footprint.
Platform foundations for the data catalog, the knowledge graph, and integration APIs: scalable, observable infrastructure that product teams build on.
Compliance automation and audit readiness: evidence for SOC 2 Type II, ISO 27001, and GDPR collected automatically from the platform rather than assembled by hand before each audit.
We expect this leader to treat AI as part of the platform. That means you will:
Design and run AI agents that operate infrastructure under clear guardrails — human approval for high-risk changes, and full audit trails.
Review our current tooling and retire tools that AI agents or simpler automation can replace, with a cost and risk case for each change.
Use AI coding and operations assistants in your own daily work, and set the standard for how the team uses them.
Build the compute, data, and access patterns that let AI and ML workloads run reliably in every environment we support.
What You Bring:
10+ years in platform engineering, infrastructure, DevOps, or SRE, including 3+ years managing engineers — with experience building or scaling a team, not only running an established one.
AI-first mindset, making extensive use of this technology for accelerating developments.
A track record of shipping on-premises or self-hosted software that customers install and run in their own environments.
Deep, hands-on experience with Kubernetes in production, infrastructure as code (Terraform/Terragrunt), and GitOps delivery with Argo CD or similar tooling.
Strong AWS experience, and the judgment to design for portability rather than lock-in to a single cloud.
Hands-on experience operating systems under SOC 2, ISO 27001, and GDPR controls, including data-residency requirements.
Experience managing cloud costs and making cost trade-offs explicit to engineering and business leaders.
Clear written communication, suited to a fully remote team across US and EU time zones.
Nice to Have:
Experience running infrastructure for data platforms, data catalogs, or graph databases.
Production experience on Azure or Google Cloud in addition to AWS.
Experience with air-gapped or restricted-network customer deployments.
Experience building infrastructure for AI and ML workloads, including model serving and vector or graph data stores.
Observability with OpenTelemetry or comparable tooling, from instrumentation through alerting.
Privileged access management with StrongDM or a comparable tool.
What We Value:
How You Will Work:
You will report to the SVP of Engineering and work closely with product engineering, security, customer success, and support. The role is fully remote from the US, UK, Spain, France or Germany, with at least four hours a day of overlap with both US Eastern Time and Central European Time. Expect occasional travel for team offsites and company-wide meetings.
What We Offer:
- The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
- Collaboration with a passionate and diverse team.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Find JobsDirector of Platform Engineering Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Marketing & Advertising
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in director of platform engineering jobs.
- 7 or more years of engineering experience with at least 3 in a leadership role
- Deep hands-on experience with cloud platforms such as AWS, GCP, or Azure
- Proven ability to design and operate large-scale distributed systems
- Experience building or leading developer experience, SRE, or platform engineering teams
- Proficiency with Kubernetes, containerization, and CI/CD pipeline tooling
- Bachelor's degree in computer science, software engineering, or a related technical field
Tips for Your Director of Platform Engineering Job Search
Quantify your platform impact concretely
Hiring panels for director of platform engineering roles want to see outcomes, not ownership. Reframe resume bullets around developer productivity gains, deployment frequency improvements, and infrastructure cost reductions your platform decisions drove, not the systems you managed.
Show your build-versus-buy decisions
Directors get asked how they evaluate whether to build internal tooling or adopt vendor solutions. Add a resume section or portfolio entry that walks through one real decision, the tradeoffs you weighed, and what you chose, so interviewers see your reasoning framework early.
Apply early to roles that fit
Migrate Mate lists director of platform engineering openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies at a platform inflection point
The strongest director of platform engineering hiring happens when a company is migrating from monolith to microservices, scaling past a growth threshold, or rebuilding after an acquisition. Filter your search toward companies in these transitions, your experience solving exactly those problems is the differentiator.
Prepare a system design narrative for interviews
Most director-level platform interviews include a whiteboard or verbal system design round focused on reliability, scalability, or developer toolchain architecture. Prepare two or three scenarios you have lived through, with the constraints, the design choices, and the production results, so you can adapt them to whatever prompt they give you.
Anchor your offer negotiation to scope
When negotiating a director of platform engineering offer, tie your asks to the scope of the platform, number of engineers it serves, cloud spend under management, and business criticality. That framing shifts the conversation from your seniority to the organizational value of the role.
Director of Platform Engineering Jobs: Frequently Asked Questions
Which companies are hiring the most director of platform engineerings?
REFLECTION, Qualcomm, and New York City Department of Health and Mental Hygiene are hiring the most director of platform engineerings right now, with openings concentrated in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially active at companies scaling cloud-native infrastructure or rebuilding their internal developer platforms.
How many director of platform engineering jobs are remote?
About 81% of director of platform engineering openings are fully remote or hybrid as of November 2026, reflecting broad acceptance of distributed leadership in infrastructure roles. Sub-areas like developer experience, cloud operations, and site reliability engineering tend to have the highest share of fully remote postings compared to roles tied to on-premises or regulated infrastructure environments.
How do you become a director of platform engineering?
Start as a software or infrastructure engineer, then move into a staff or principal role where you own a platform component end to end. Build experience leading cross-functional technical initiatives, mentoring engineers, and influencing architectural decisions across teams. From there, a senior engineering manager or head of platform role typically precedes the director step, giving you the organizational and strategic experience hiring panels expect.
Can you get hired as a director of platform engineering without director-level experience?
Yes, candidates who come from staff engineer or engineering manager backgrounds are regularly hired into director of platform engineering roles, particularly at companies that are building their platform function from scratch. The key is demonstrating that you have already operated at that scope, owning a platform used by multiple teams, making infrastructure investment decisions, and hiring or growing engineers, even if your title did not say director.
What does the director of platform engineering interview process look like?
The process typically runs four to six rounds and includes a recruiter screen, a hiring manager conversation focused on leadership philosophy and platform strategy, a system design round covering large-scale distributed architecture or developer toolchain design, a cross-functional panel with engineering managers or product leaders, and a final executive conversation about organizational vision. Some companies add a written case study on a past platform challenge you led.
Where can I find and apply to director of platform engineering jobs?
You can find and apply to director of platform engineering jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your cloud platform expertise, team size, and industry preference, then apply directly to each listing that fits your background.
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