Distributed Systems Engineer | Cloud Platform | Go / Rust | Kubernetes
Location: Remote (US & Canada) with optional office access in San Francisco
We're partnering with a well-funded, venture-backed infrastructure startup that's building a next-generation cloud database platform. The company is developing a Postgres-native technology that enables organizations to unify transactional databases, full-text search, vector search, and analytics into a single platform—eliminating the complexity of managing multiple systems.
Already trusted by a growing number of enterprise customers, the business is entering an exciting growth phase and is looking for an experienced Distributed Systems Engineer to help build its managed cloud platform from the ground up.
The Opportunity
You'll join a small, high-calibre engineering team working on the company's cloud control plane, building the infrastructure that provisions, operates, and scales customer database clusters in production.
This is a hands-on engineering role focused on distributed systems, Kubernetes, automation, and cloud-native infrastructure. You'll have significant ownership over technical decisions and the opportunity to influence both product direction and architecture from an early stage.
What You'll Be Working On
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Designing and building a cloud-native control plane for a managed database platform
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Developing Kubernetes Operators and Controllers to provision, upgrade, scale, and maintain customer clusters
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Building automation around backups, replication, failover, monitoring, and lifecycle management
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Designing APIs and orchestration systems that manage stateful infrastructure
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Working closely with cloud-native database technologies and the wider Postgres ecosystem
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Improving deployment, testing, monitoring, and operational tooling
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Collaborating directly with customers to solve complex infrastructure challenges
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Helping shape product strategy, technical architecture, and engineering best practices
What We're Looking For
You'll likely have experience in several of the following:
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Building distributed systems or cloud infrastructure platforms
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Developing Kubernetes Operators, Controllers, CRDs, or other Kubernetes-native software
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Designing APIs, control planes, orchestration platforms, or infrastructure automation
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Production development experience in Go or Rust
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Operating reliable production workloads on Kubernetes
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Experience with infrastructure tooling such as Terraform, Helm, Bash, or Python
Nice-to-have experience includes:
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Database operators or Database-as-a-Service platforms
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Cloud-native Postgres technologies
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Search platforms, analytical databases, or high-performance data systems
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Open-source contributions
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Experience working in early-stage or high-growth startups
What Makes This Role Interesting
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Build a cloud platform from the ground up rather than maintaining legacy infrastructure
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Work on technically challenging distributed systems and Kubernetes internals
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Join a highly technical engineering team with significant autonomy
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Influence architecture and product direction from day one
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Work directly with customers solving real infrastructure problems
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Opportunity to contribute to open-source technologies
If you're passionate about distributed systems, Kubernetes, databases, and building developer infrastructure at scale, I'd be happy to tell you more about the company and the opportunity.
I'm working with a well-funded, ~45-person fintech client building the infrastructure layer for private credit, an asset class that today runs almost entirely on spreadsheets, PDFs, and tribal knowledge. Every deal, every filing, every covenant lives in a different format, in a different system. My client is building the platform that turns that chaos into something the whole business can query, trust, and build decisions on top of.
They're hiring a Core Platform Lead to join the data platform team and report directly to the CTO. You'll sit hand in hand with their lead engineer as a true peer, not someone picking up tickets. The team's lean right now, and this hire fills the biggest gap they've got: nobody's built out data ingestion from scratch before.
What you'll be doing
- Own the data ingestion and processing layer the rest of the business runs on, raw and messy through to clean and queryable
- Make the real build-vs-buy calls: knowing when an off-the-shelf tool solves the problem and when it doesn't
- Work at the core of systems where correctness and speed matter because of what's riding on the data
- Handle the governance side too: data quality, lineage, access control, sensitive data handling
- Help shape the platform's evolution as the company scales, not just keep the lights on
- Have a real voice in engineering culture and process as the team grows
What they're looking for
- Deep Rust experience, tradeoffs and fundamentals, not just syntax
- Strong distributed systems and large-scale backend background
- Ideally built ingestion pipelines or data infra from scratch before, or you're hungry to
- Flexible on years, firm on ability. 3-4+ years with a steep trajectory is the sweet spot, more if the reasoning's there
- Communicates clearly and concisely, can go deep without turning it into a lecture
- Genuinely curious about the product, you don't need finance background walking in
- A balanced take on AI in engineering, not a skeptic, not a zealot
Comp & Location
$200k-$250k. NYC hybrid if you're local (the CTO likes the team in person now and then), fully remote if you're not.
I'm working with a well-funded, ~45-person fintech client that's building the intelligent infrastructure layer for private credit, an asset class that today runs almost entirely on spreadsheets, PDFs, and tribal knowledge. Every deal, every filing, every covenant lives in a different format, in a different system. My client is building the platform that turns that chaos into something the whole business can query, trust, and build decisions on top of. Think Bloomberg terminal, but for private credit.
They're now hiring a Core Platform Lead to join the data platform team and report directly to the CTO. This isn't a "join the team and pick up tickets" role. You'll be sitting hand in hand with their lead engineer as a true peer and thought partner, someone who challenges the architecture and pushes back on ideas, not someone who just executes on them. The team is intentionally lean right now, and this hire is the person who fills the biggest current gap: nobody on the team has deep experience building out data ingestion from scratch.
What the role actually involves
- Owning the data ingestion and processing layer that the rest of the business runs on, from raw, messy, heterogeneous financial data through to something clean and queryable
- Making first-principles calls on build vs. buy: understanding when a tool like dbt or Airflow genuinely solves the problem, and when the off-the-shelf option falls short of what the business actually needs
- Working in Rust at the core of systems where correctness and speed aren't a nice to have, they're the entire point given the financial decisions riding on this data
- Solving real data governance problems along the way: data quality, lineage, access controls, and handling of sensitive financial data
- Helping shape how the data platform evolves as the company scales, not just maintaining what already exists
- Having a genuine voice in engineering culture and process as the team grows around you
What my client is looking for
- Deep, real Rust experience. They care about tradeoffs and language fundamentals, not just syntax familiarity, and treat strong Rust ability as a signal of engineering strength more broadly
- Strong distributed systems and large-scale backend experience
- Someone who's either built large-scale ingestion pipelines or data infrastructure from scratch before, or is genuinely hungry to. You don't need to have done it at Datadog scale, but that's the kind of background that gets them excited
- A communicator who can think deeply but explain concisely. They want someone who can go toe to toe technically without turning every conversation into a lecture
- Product curiosity. You don't need to walk in already understanding finance or underwriting, but you do need to want to learn how the people using this system actually use it
- A healthy, balanced perspective on AI in engineering work. Not a skeptic, not a zealot, just someone who can help the team think clearly about where it actually helps
Comp & Location
$200k-$250k. NYC hybrid preferred for those local (the CTO likes the team in person occasionally), fully remote is genuinely fine if you're not NYC-based. Open to a fully remote setup for an exceptional candidate regardless of location in the USA.
I'm running this search personally, not handing it off, so if this sounds like your kind of problem, drop me a message and I'll walk you through everything else.
One of the big 4 consulting firms are looking to make multiple hires into their Transformation, Commercial and Service Excellence team, with a specific expertise on marketing automation and customer data platforms (CDP). You'll be expected to have a broad knowledge of various marketing technologies (Salesforce, Adobe, Braze, Bloomreach etc) and be equally adept in business and technical discussions. You'll be working with global, complex organisations across a multitude of sectors (mainly automotive firms), playing an influential role in the implementation of their customer data platforms and how they interact with other systems.
To be successful in the role, you'll likely have:
- Commercial experience with a number of marketing automation tools - Salesforce is essential, whilst other tools such as Adobe, Braze, Bloomreach etc are highly desirable
- A strong understanding of customer data platforms - you'll know what an identity graph is, what CDP is trying to solve and what key systems they integrate with
- Excellent consulting skills (not necessarily from a consulting role) - stakeholder management, able to quickly understand new topics and trends
- A solid technical background - guide and mentor technical resources, understanding of SQL, AMP script and Python
- A bachelor level degree
- Fluent German language skills or the willingness to become highly proficient within your 1st year of joining
These are full time positions, where you'll be based majoratively from home, with bi-weekly trips to client site and occasional trips into Europe - flexibility to travel is key. Depending on experience, salary is up €100k .
For immediate consideration, please click apply and Zak Harvey will be in touch shortly.
Lawrence Harvey are one of the leading marketing and technology recruitment specialists in Europe. As highly competent consultants, we are consistently building on the excellent reputation that we have already established in marketing and technology recruitment. We work in partnership with our clients and candidates building a relationship through understanding so that we can ensure that we are always delivering to their needs.
Engineering Manager, Manufacturing Software | Huntington Beach, CA
I’m working with a rapidly growing advanced manufacturing technology company building proprietary software and automation for aerospace, defense, robotics, and other high-performance industries.
They’re looking for an Engineering Manager to lead their computational geometry / manufacturing software team and take ownership of the team’s day-to-day direction as the company scales.
Looking for:
- Prior engineering management experience or strong technical leadership with people-management experience
- Strong technical foundation and ability to lead a highly capable engineering team
- Experience with computational geometry, CAD/CAM, geometric modeling, or 3D geometry
- Background in software, manufacturing, mechanical engineering, or a related field
- Ability to work cross-functionally across software and manufacturing
Details:
- Huntington Beach, CA — fully onsite
- $170K–$220K base + Series A equity
- U.S. Citizens or Green Card holders only
- Newly created leadership role with significant ownership over team growth and technical direction
If you have experience leading engineering teams while working around software + computational geometry + manufacturing, I’d love to connect. DM me or send over your resume for more details.
Computational Geometry Software Lead | Huntington Beach, CA
I’m working with a rapidly growing advanced manufacturing technology company building proprietary software and automation for aerospace, robotics, and other high-performance industries.
They’re looking for a Computational Geometry Software Lead to join their growing engineering team and own software directly impacting physical manufacturing.
Looking for:
- Deep algorithmic engineering experience
- Strong computational geometry background
- Experience in a manufacturing / production environment
- Strong C++ or Rust experience
- CAD/CAM, geometric modeling, or 3D geometry experience
Details:
- Huntington Beach, CA — fully onsite
- $170K–$220K base + Series A equity
- U.S. Citizens or Green Card holders only
- High-ownership role with significant technical impact
If you have experience across algorithms + computational geometry + manufacturing, I’d love to connect. Feel free to DM me or send over your resume for more details.


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