HEY BOSTON

🚀 Staff Platform Engineer – State-of-the-Art Asset Management Technology 📍 Dallas, TX (3 days a week on-site) 🔒 For security purposes, this role is open to U.S. nationals only I’m working with a leading asset management firm that is investing heavily in next-generation trading and investment technology, and they’re seeking an experienced Staff Platform Engineer to join their high-performing engineering team. This is a hands-on staff-level role where you’ll influence strategy, design, and operations across multi-cloud infrastructure, distributed systems, and developer enablement platforms. If you have deep Kubernetes expertise, thrive in complex environments, and want to play a pivotal role in shaping the future of financial technology, this could be the opportunity for you. The RoleMulti-cloud ownership: Lead design and operations across AWS, Azure, and on-prem with Kubernetes at scale.Distributed compute systems: Architect large-scale parallel workloads with efficient job scheduling and autoscaling.CI/CD & developer enablement: Build resilient pipelines, automate developer workspaces, and drive DevSecOps culture.Zero-trust networking: Implement secure connectivity with Tailscale, identity federation, and RBAC.Observability & optimization: Ensure resilience, cost efficiency, and performance with Prometheus and Grafana.Strategic influence: Partner with engineering teams to shape cloud-native architecture and adopt emerging technologies.Tech EnvironmentCloud: AWS (EKS, EC2, IAM, SSM), Azure (AKS, AD, ARM)Kubernetes: Helm, Operators, CRDs, HPA, Network Policies, k0sAutomation: Terraform, ArgoCD, GitHub Actions, DockerNetworking & Security: Tailscale, WireGuard, Vault, OIDC, RBACObservability: Prometheus, GrafanaDistributed Systems: Argo Workflows, Airflow, Dask/Spark (nice to have)What They’re Looking For6 years’ experience running production-grade cloud infrastructureDeep knowledge of Kubernetes internals, operators, and distributed workloadsStrong track record in multi-cloud (AWS & Azure) environmentsAdvanced Infrastructure-as-Code and CI/CD experienceProven expertise in secure networking, authentication, and identity management💡 Nice-to-have: Experience with Tailscale, AKS, lightweight Kubernetes distributions (k0s), or optimized container build pipelines. Why This Role?Work with mission-critical, state-of-the-art technology in asset managementHigh visibility at staff level with influence across engineeringCompetitive compensation strong benefitsHybrid setup: 3 days per week on-site in Dallas📩 If this sounds like a fit, I’d be happy to share more details and guide you through the process. Please reach out to discuss further.

💻 Senior Software Engineer — Conversational AI Platform Location: San Francisco (On-site, full-time) Compensation: $200K–$350K Equity The Opportunity I’m representing a fast-growing AI company in San Francisco that’s building the future of conversational AI at enterprise scale. They’ve already proven their platform by automating over 1M customer support tickets per month for a single enterprise customer — and now they’re working with household names in food delivery, crypto, and beyond. Backed by a large Series A from top investors (including Y-Combinator), the company has secured multi-year contracts and is rapidly outpacing competitors. They’re now seeking a Senior Software Engineer to join their lean, elite engineering team and take ownership of building and scaling LLM-driven products. Why Join?🚀 Momentum: Backing from major investors contracts with leading enterprises.🎯 Ownership: Drive products end-to-end and influence technical direction.🌱 Growth: Work alongside top-tier engineers and founders on cutting-edge ML projects.🏗️ Impact: Help define the foundation for AI systems powering the next trillion voice interactions.What You’ll DoShip & Own: Contribute to major releases and eventually own entire products or product lines.Design for Scale: Build fast, reliable, secure systems that grow with the business.Collaborate Closely: Work directly with founders and cross-functional teams to take ideas from vision to launch.Lead Technically: Make architecture decisions, mentor teammates, and set engineering standards.Who You Are5 years hands-on software engineering experience with leadership exposure.Strong backend skills in Python (Django experience a plus).Frontend experience with Next.js, React, ShadCN.Cloud expertise with AWS or GCP.Familiarity with containerization & orchestration (Docker, Kubernetes a plus).Entrepreneurial mindset — startup experience or former founder preferred.Willingness to work hard in a fast-paced, high-ownership environment.🎓 Educational pedigree: Computer Science degree from a top-20 engineering program (required).Perks & BenefitsHighly competitive compensation package (salary equity).Full health, dental, and vision coverage.Equinox membership wellness allowance.Meals, snacks, and coffee provided in-office.Interview ProcessScreening call with recruiting lead (20 min)Intro call with founding engineer (15 min)Live coding round (1 hr)On-site interview (full day)⚡ Please note: this role is 100% on-site in San Francisco.

🧠 Lead Software Engineer (Tech Lead) — Emerging Biotech Platform Location: New Haven, CT (On-site, full-time) Compensation: $150–180k The Opportunity I’m working with a pioneering biotech company that’s building something you won’t find anywhere else: a mission-critical platform that supports postmortem human brain research to unlock new therapies for neurodegenerative disease. This isn’t another “scale the dashboard” job. The platform underpins experiments where losing a single data record is unacceptable. Think fintech-grade reliability and compliance — but applied to biotech brains and AI-driven insights. The company has already secured major pharma contracts (with billions in downstream pipelines) and recently raised a $10M seed. They’re scaling rapidly, from processing 500 human brains this year to 1,000 by 2026, with a growing biobank of millions of samples. They’re now hiring a hands-on Tech Lead / Staff Engineer to take ownership of architecture, reliability, and delivery of their core platform. What You’ll DoArchitect the backbone — schemas, transactional core, immutable audits, and chain-of-custody records.Stream everything — CDC → Pub/Sub → BigQuery pipelines, telemetry ingestion, reconciliation jobs.Ship operator-first UIs — React/TypeScript with scanning/labeling flows, real-time updates, guardrails.Reliability engineering — disaster recovery drills, tested RPO = 0, observability everywhere.Technical leadership — mentor engineers, coordinate contractors, set high standards.Tech EnvironmentCloud: GCP (Cloud Run, Spanner, Pub/Sub, BigQuery, GCS, Terraform). AWS possible down the road.Languages: Python for services; TypeScript React for operator UIs.Data/Infra: Streaming pipelines, observability (OpenTelemetry), immutable audits, CI/CD, reconciliation jobs.Success Looks LikeVertical slice demo: plan → simulate donor arrival → run steps → audited completion.Operators who trust the system instead of fighting it.Brain Bank Explorer scaling toward millions of samples with printable labels and lineage.RPO = 0 proven in production disaster recovery drills.Minimum Qualifications8 years building production systems where data integrity was critical (biotech, fintech, manufacturing, healthtech, etc.).Designed and operated transactional cores with streaming/CDC into a warehouse (BigQuery preferred).Hands-on GCP production experience (Cloud Run/GKE, SQL/Spanner, Pub/Sub, BigQuery, GCS, IAM).Proficiency in Python React/TypeScript.Delivered immutable audit record lifecycle under regulated/QMS-like processes.Proven track record of RPO = 0 with tested DR.Nice-to-Have ExperienceLIMS/ELN, MES/SCADA, or other chain-of-custody systems.Barcode/RFID scanner or label printer integrations.Timeseries ingestion and aggregation.Omics pipeline interfaces.Designing UI for lab environments (gloves, dark rooms, offline tolerance).Why This Role Stands Out🧬 Impact: The platform enables groundbreaking brain science and fuels AI models pharma is already investing in.🚀 Growth: Scaling to 1,000 brains annually and millions of samples.💰 Backed: $10M seed funding major pharma contracts already in place.🎯 Ownership: Lead architecture and delivery end-to-end.🌟 Mission: Zero tolerance for data failure. Operator-first UX. Real reliability.Next Steps If this sounds like the kind of challenge you’d like to take on, let me know. I’d be happy to share more about the company and set up an intro with the hiring team. ⚡ Please note: Sponsorship is not available for tthis role is 100% on-site in New Haven, CT. You’ll be working directly alongside the scientists and surgeons using the system day-to-day

Soda have partnered with a global leader in digital supply chain collaboration, known for driving innovation across the manufacturing and logistics space. As they continue to evolve and scale their integration team, they’re now looking for an experienced EDI Consultant to help deliver seamless data exchange across their growing customer base. 🚀 EDI Consultant (f/m/d) – Budapest (Hybrid)📍 Location: Budapest, Hungary – 3 days per week in office🗣 Language: Fluent English required (German/French a plus)💰 Salary: 1.4M – 1.7M HUF gross per month📄 Employment Type: Full-time, Permanent What You’ll Be DoingDeliver end-to-end EDI integrations (EDIFACT, XML, ANSI X12)Manage testing, message validation, and go-live readinessBe the main contact for supplier-side integration issuesSupport shift to API-based integrations and new techUse AI tools to improve mapping, error handling, and documentation| What We’re Looking For2 years of EDI integration experience in IT/business environmentsKnowledge of EDIFACT, XML & tools like Seeburger BIS or SAP PIUnderstanding of protocols: AS2, OFTP2, HTTPS, FTPClear communicator and confident with stakeholdersInterest in AI and automation (hands-on a plus) Apply now!

DevOps Engineer – AI Startup📍 Paris, Station F | 🕐 Full-time | 💰 Competitive Salary | 🌍 OnsiteWe’ve partnered with an ambitious AI startup on a mission to revolutionize how businesses leverage structured data through intelligent, automated workflows. Backed by $4M in funding, their proprietary Tabular Foundation Model powers a cutting-edge platform enabling companies to build AI agents that natively interact with tabular data—no custom training needed.They are now hiring a DevOps Engineer to drive the development, scalability, and reliability of their AI platform. This is a pivotal role in a fast-growing team, working closely with ML engineers, data scientists, and product teams.What You'll DoBuild and scale infrastructure with Docker, Kubernetes, and TerraformAutomate CI/CD pipelines and deployment processes using Shell/Bash scriptingManage and optimize cloud resources (AWS, GCP, or Azure) as infrastructure-as-codeSupport robust data pipelines for large-scale ML workflowsImplement monitoring and observability tools (Grafana, Prometheus, ELK, etc.)Collaborate on platform build-out and API development in Python and TypeScript/ReactEnsure security, traceability, and performance across systemsWhat We're Looking For5 years in software/DevOps engineering, with strong Python and CI/CD experienceHands-on expertise with Docker, Kubernetes, and TerraformComfortable managing large datasets and performance-critical servicesBonus: Experience with Rust, C , or large-scale ML infrastructureJoin a collaborative, forward-thinking team where your impact will be immediate and meaningful.Apply now to be part of something transformative.

AI Low Code ArchitectLisbon, Portugal (with remote flexibility)Full-TimeWe are working with a Microsoft Solutions Partner that is driving transformation in Cloud and Generative AI. With a strong presence across Europe and a portfolio of clients ranging from startups to large enterprises, they are recognized for delivering impactful digital solutions and fostering innovation.The OpportunityAs an AI Low Code Architect, you will take a leading role in shaping and delivering scalable Power Platform solutions. You’ll work side by side with senior leadership, guiding projects from architectural design through to deployment, while supporting and mentoring delivery teams.Key ResponsibilitiesDesign and implement end-to-end Power Platform solutionsIntegrate Power Platform with Azure, Microsoft 365, and external systemsCollaborate with project managers, developers, business analysts, and clientsIdentify risks, constraints, and propose innovative approachesProvide technical leadership and mentorship to team membersAbout You10 years of IT consulting experience, ideally across diverse industriesStrong expertise with Power Apps, Power Automate, and Copilot StudioSolid understanding of Azure, Microsoft 365, Dataverse, and SharePoint integrationsComfortable working across both technical and functional rolesStrong communication skills in English (Portuguese or French a plus)Relevant Microsoft certifications (PL-900, PL-200, PL-400, PL-600) highly valuedWhat’s OfferedCompetitive salary with a performance-based bonusEmployer PPR fundingFlexible remote work options22 days annual leave plus 3 extra days after your first yearUp to 5 wellness days annuallyClear career development pathwayRegular team-building and company eventsIf you’re looking to combine technical expertise with strategic influence in a forward-looking environment, this could be the right move for you.

We’re working with one of the fastest-growing teams in the Voice AI space, a seed-stage startup transforming how financial services engage customers in high-stakes, mission critical workflows. Already trusted by 6 of the top 15 U.S. mortgage banks, they’ve hit $2M ARR in just 8 months (on track for $3M) and are scaling at 43% month over month since their seed raise last November. With a Series A planned for early 2026, this is a rare opportunity to join a company just before it enters hypergrowth. With a lean team of engineers from Google, Meta, Apple and Stanford, they’re building AI systems that outperform humans in industries like mortgage, insurance and small business lending. Now, they’re looking for two exceptional Founding Engineers to own backend systems, drive product heavy initiatives and shape the technical foundation of a category-defining company. Location: San Francisco (4 days in-office, Market Street near Montgomery BART) Salary: Up to $270,000 Equity (0.2–1%) Key Responsibilities:Own Product at Scale: Scope, design, and ship backend systems tightly aligned with customer and product needs.Hands-On Engineering: Contribute directly to core backend services while driving product-focused design.Technical Leadership: Conduct code reviews, mentor peers, and set engineering quality standards.Product Collaboration: Partner with product owners and customers to translate requirements into scalable technical solutions.Founding-Level Impact: Take on initiatives that relieve bottlenecks from the CTO and define long-term product direction.What We’re Looking For:5 years backend engineering experience (5–15 typical).Depth across Python, Go, Java, C , etc. Not just JavaScript/TypeScript.Track record of scaling backend systems in production.Strong product sense and experience in early-stage startups (ideally first 1–6 engineers).Excellent communication skills: able to bridge product and engineering.Bonus Points For:FinTech, API-heavy, or backend-intensive product experience.Experience building agent-based systems.Prior 0→1 startup success.Python backend frameworks (FastAPI, Django).Why Join?World-class team: ex-FAANG engineers, top-tier universities, repeat founders.Hypergrowth: 43% MoM, millions in ARR.Timing: Join at seed-stage equity valuation, just before Series A.Cutting-edge tech: Voice AI that outperforms humans in mission-critical workflows.High ownership: Founding-level influence across product and engineering.This is a chance to step in at a pivotal moment, with proven product-market fit, massive customer demand, and the capital to scale. You’ll be part of a small, elite team solving some of the hardest problems in applied AI, while shaping both the product and the company’s future.

We’re working with one of the fastest-growing teams in the Voice AI space, a seed-stage startup transforming how financial services engage customers in high-stakes, mission critical workflows. Already trusted by 6 of the top 15 U.S. mortgage banks, they’ve hit $2M ARR in just 8 months (on track for $3M) and are scaling at 43% month over month since their seed raise last November. With a Series A planned for early 2026, this is a rare opportunity to join a company just before it enters hypergrowth. With a lean team of engineers from Google, Meta, Apple and Stanford, they’re building AI systems that outperform humans in industries like mortgage, insurance and small business lending. Now, they’re looking for two exceptional Founding Engineers to own backend systems, drive product heavy initiatives and shape the technical foundation of a category-defining company. Location: San Francisco (4 days in-office, Market Street near Montgomery BART) Salary: Up to $270,000 Equity (0.2–1%) Key Responsibilities:Own Product at Scale: Scope, design, and ship backend systems tightly aligned with customer and product needs.Hands-On Engineering: Contribute directly to core backend services while driving product-focused design.Technical Leadership: Conduct code reviews, mentor peers, and set engineering quality standards.Product Collaboration: Partner with product owners and customers to translate requirements into scalable technical solutions.Founding-Level Impact: Take on initiatives that relieve bottlenecks from the CTO and define long-term product direction.What We’re Looking For:5 years backend engineering experience (5–15 typical).Depth across Python, Go, Java, C , etc. Not just JavaScript/TypeScript.Track record of scaling backend systems in production.Strong product sense and experience in early-stage startups (ideally first 1–6 engineers).Excellent communication skills: able to bridge product and engineering.Bonus Points For:FinTech, API-heavy, or backend-intensive product experience.Experience building agent-based systems.Prior 0→1 startup success.Python backend frameworks (FastAPI, Django).Why Join?World-class team: ex-FAANG engineers, top-tier universities, repeat founders.Hypergrowth: 43% MoM, millions in ARR.Timing: Join at seed-stage equity valuation, just before Series A.Cutting-edge tech: Voice AI that outperforms humans in mission-critical workflows.High ownership: Founding-level influence across product and engineering.This is a chance to step in at a pivotal moment, with proven product-market fit, massive customer demand, and the capital to scale. You’ll be part of a small, elite team solving some of the hardest problems in applied AI, while shaping both the product and the company’s future.