Location: Poland; Romania; Lithuania; Latvia
Intetics Inc.
, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced
Go Application Architect
to join our dynamic team on a full-time basis.
What You will do:
- Translate ambiguous business requirements into a clear, well-structured technical architecture;
- Design distributed and microservice-based systems that are scalable, fault-tolerant, and maintainable;
- Make and justify architectural trade-offs (performance vs. complexity, consistency vs. availability, build vs. buy);
- Design robust API contracts (REST/gRPC) with versioning and backward compatibility in mind;
- Architect data storage strategies across relational and non-relational databases, including schema design and query optimization;
- Design event-driven and asynchronous flows using message brokers (Kafka, RabbitMQ, NATS);
- Anticipate scalability and reliability risks before they become production incidents, and design systems that account for load, failure modes, and observability from the start;
- Produce clear architecture documentation (ADRs, technical specs, diagrams) that both engineers and business stakeholders can follow;
- Guide and mentor development teams on best practices, code quality, and Go idioms without formally managing them;
- Communicate technical decisions and trade-offs effectively to Product Owners, Solution Architects, and other non-technical stakeholders;
- Evaluate new technologies, tools, and frameworks and assess their fit for the team's technical roadmap;
- Balance hands-on coding with architectural oversight — staying technically credible while enabling other engineers to execute.
Requirements
- 7+ years of overall software development experience;
- 4-5+ years of hands-on, production-level experience with Go, including deep understanding of goroutines, channels, context, memory model, and concurrency patterns;
- Higher education in Computer Science (software development, etc.);
- Extensive experience working with AI and the process of implementing/configuring it within a team;
- Experience in fintech, banking, or other regulated/high-compliance domains;
- Proven experience designing distributed, microservice-based, and/or high-load systems;
- Strong expertise in API design (REST and/or gRPC), including versioning and backward compatibility;
- Solid understanding of relational databases (PostgreSQL/MySQL) — schema design, query optimization, transactions;
- Experience with message brokers (Kafka, RabbitMQ, NATS) and event-driven architecture;
- Strong knowledge of containerization and orchestration (Docker, Kubernetes);
- Experience with CI/CD pipelines and modern DevOps practices;
- Golang (design of scalable, distributed backend systems);
- Concurrency patterns in Go (goroutines, channels, sync primitives);
- System design for high performance and maintainability;
- CI/CD tools and pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.);
- Understanding of system design principles: scalability, fault tolerance, security, observability (metrics, logging, tracing);
- Strong communication skills — ability to explain architectural decisions to both technical teams and business stakeholders;
- Experience conducting architecture reviews and writing design documentation (ADRs, technical specs);
- Readiness to work from 9 till 18 CEST;
- Readiness to practical task (live coding in Go) during the interview with the client.
Would be a plus:
- Experience with NoSQL databases (MongoDB, Cassandra, ClickHouse) or caching layers (Redis);
- Exposure to cloud platforms (AWS, GCP, Azure) and cloud-native architecture patterns;
- Experience with Domain-Driven Design (DDD) or Event-Driven Architecture;
- Prior experience in a formal Architect, Staff Engineer, or Principal Engineer role;
- Familiarity with additional languages (Java, Python, C++) for cross-team collaboration;
- Experience integrating AI/LLM components into production systems;
- Contributions to open-source Go projects or internal frameworks/libraries;
- Experience with SRE practices (SLI/SLO, error budgets, incident response);
- Relevant certifications (AWS/GCP/Azure architecture certifications).
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly.
The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments.
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
Key responsibilities
Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Minimum qualifications
Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
Have a track record of building platforms or internal tooling that other teams widely adopt
Have led the technical design of projects that span several engineers or teams
Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Preferred qualifications
Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
Experience with data governance requirements in a regulated or high-sensitivity domain
Fluency with agentic coding tools such as Claude Code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Solutions Consultant, Public Sector at Ramp, you’ll serve as the primary technical and financial advisor for government agencies, educational institutions, and nonprofits evaluating Ramp. You will guide prospective customers through technical discovery, design tailored solutions that align with compliance and security requirements, and deliver compelling demos that highlight Ramp’s ability to modernize financial workflows.
Partnering closely with Sales, Product, Engineering, and Compliance, you’ll act as the bridge between complex customer needs and Ramp’s platform capabilities. Your role is equal parts storyteller, architect, and trusted advisor—helping public sector organizations unlock efficiencies while navigating procurement, compliance, and multi-stakeholder environments.
WHAT YOU'LL DO
- Lead Technical Discovery & Demos: Conduct deep technical and workflow discovery with public sector prospects; deliver customized demos showcasing Ramp’s value for finance, procurement, and compliance teams.
- Design Public Sector Solutions: Architect secure, scalable solutions leveraging Ramp’s APIs, ERP integrations, and compliance frameworks to meet the unique needs of federal, state, and local governments.
- Partner in Complex Sales Cycles: Collaborate with Account Executives to drive technical consensus across diverse stakeholders, translating technical concepts into strategic outcomes.
- Support Security & Compliance Alignment: Ensure proposed solutions align with FedRAMP, SOC 2, HIPAA, CJIS, and relevant procurement requirements.
- Guide RFPs & Proposals: Lead technical evaluations, respond to RFPs, and build ROI analyses that demonstrate Ramp’s value.
- Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to prioritize integrations and share public sector customer insights that shape Ramp’s roadmap.
- Enable Seamless Implementation: Partner with Customer Success on post-sale deployments, ensuring customers achieve value from Ramp quickly and securely.
- Act as a thought leader in public sector finance modernization: participating in industry events, conferences, and customer workshops.
WHAT YOU NEED
- 5-7 years of experience in Solutions Consulting, Sales Engineering, or Solutions Architecture at a SaaS or fintech company.
- Strong background in financial systems, accounting workflows, and ERP integrations.
- Hands-on expertise with API integrations, SFTP configurations, and security protocols.
- Experience supporting public sector organizations, with a working knowledge of procurement processes, compliance frameworks, and IT/security requirements.
- Ability to influence and present to executive stakeholders across technical and business functions.
- Proven success navigating long, multi-stakeholder sales/adoption cycles.
- Bachelor’s degree in computer science, engineering, business, finance, or a related field.
NICE TO HAVE
- Familiarity with federal and state procurement frameworks.
- Experience with government financial systems (e.g., Oracle, PeopleSoft, Workday, SAP).
- Programming familiarity (Python, SQL, Java) for solution prototyping.
- Cloud platform knowledge (AWS, Azure, GCP).
- Project management certification (e.g., PMP, PMI-ACP).
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Remote - USA
Workplace: Remote
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
ABOUT THIS ROLE:
You will build the public and private network infrastructure connecting all of fal's data centers and cloud environments, supporting both our public serverless platform and custom compute clusters. The scope includes internet routing, private connectivity, overlay networks, DNS, IP address management, cloud-provider integration, and high-performance Linux networking.
You will work across the networking stack — from BGP announcements and private peering to kernel-level performance tuning. The goal is to make our network fast, reliable, secure, isolated, and easy to operate.
What you'll do:
- Design, build, validate, and operate public and private networks across the public platform and private compute clusters
- Use AI aggressively to automate and accelerate network provisioning, configuration, validation, monitoring, and recovery
- Manage ASNs, public IP prefixes, and private address space (allocation, registration, announcement, lifecycle)
- Build and operate BGP routing: route policies, communities, filtering, traffic engineering, and failover
- Announce customer and company IP ranges from physical infrastructure and cloud providers, including BYOIP integrations
- Establish private peering with customers, partners, data centers, internet exchanges, and cloud providers
- Build private and overlay networks using VXLAN, IPsec, WireGuard, and Tailscale
- Operate DNS networking patterns including anycast DNS and mDNS
- Tune the Linux networking stack for high throughput, low latency, and large connection counts
- Build network observability and diagnostics using metrics, logs, flow data, active probes, and packet captures
- Develop reusable tooling, standards, documentation, and runbooks
- Collaborate with customers and internal teams to translate connectivity, security, isolation, and performance requirements into sound network designs
Qualifications/Nice to Have:
- 5+ years building and operating production network infrastructure
- Strong Linux networking: routing tables, policy routing, network namespaces, bonding, VLANs, bridges, firewalling, NAT, conntrack
- Deep BGP knowledge: route selection, communities, filtering, convergence, multipath, troubleshooting
- Experience managing ASNs, public IP space, BGP announcements, IPAM, RPKI/ROAs, IRR records
- Experience designing private IPv4/IPv6 address plans and preventing cross-customer/region conflicts
- Production VXLAN overlay network experience
- Production IPsec, WireGuard, or Tailscale experience
- Experience with anycast DNS and mDNS
- Experience with private peering and cloud provider interconnects
- Linux networking performance tuning: congestion control, queue disciplines, socket buffers, MTU, NIC offloads, RSS/RPS/XPS, IRQ affinity
- Packet-level troubleshooting: iproute2, tc, ethtool, tcpdump, Wireshark, mtr
- Ansible or equivalent network configuration automation
- EVPN as a VXLAN control plane
- FRRouting, BIRD, or similar software-routing platforms
- AWS Direct Connect, Google Cloud Interconnect, Azure ExpressRoute
- Internet exchanges, cross-connects, route servers, colocation networking
- DDoS detection, mitigation, scrubbing, BGP-based traffic diversion
- eBPF, XDP, DPDK
- NetBox, Nautobot, Nornir
- Authoritative or recursive DNS infrastructure at scale
- Network hardware: Arista, Juniper, Cisco
- Kubernetes networking, service load balancing, CNI
- Python or Go
WHAT WE OFFER AT FAL
- Interesting and challenging work
- A lot of learning and growth opportunities
- We offer visa sponsorship and will help you relocate to San Francisco.
- Health, dental, and vision insurance (US)
- Regular team events and offsites
COMPENSATION
- $180,000 - $250,000 + equity + comprehensive benefits package
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Location: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
The Finance, Brokerage and Market Risk Data Science team is a dynamic group of data scientists and analytics developers who deliver high-quality financial metrics and advanced analytics that drive key decisions at Wealthsimple. We support financial planning, treasury operations, liquidity management, and brokerage risk assessment for products like margin trading and options.
Our team has created a solid foundation for data-driven financial decision-making. Now we're ready to scale these initiatives, optimizing financial resources and enhancing risk management as our product offerings grow increasingly sophisticated.
In this role, you'll make a significant impact through advanced analytics that support both strategic financial planning and sophisticated market risk management across our expanding brokerage services.
IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO:
- Own the development and maintenance of the finance and market risk data marts, optimizing for performance, data quality, reliability, and efficiency
- Design, build, and document robust data pipelines that generate critical financial reports and metrics for stakeholders across the organization
- Build, automate, and maintain brokerage reporting & monitoring systems, ensuring data integrity and accuracy across financial processes
- Partner closely with business stakeholders in brokerage and market risk to launch and support new financial products and model development initiatives
- Create insightful dashboards and visualizations to monitor brokerage KPIs, profitability metrics, and regulatory reporting requirements
- Provide business intelligence support for trade and collateral monitoring, financial reporting, product performance analysis, and forecasting initiatives
- Translate complex business requirements into scalable analytics solutions that address key financial and risk management needs
- Participate in code reviews and contribute to best practices for data engineering and analytics development
- Mentor junior team members and share knowledge to elevate the team's technical capabilities
WHAT YOU BRING:
- 5+ years of experience in data engineering or analytics development, with demonstrated expertise in data mart architecture, design, and management
- Strong proficiency in SQL with the ability to write complex queries, optimize performance, and work with large-scale datasets
- Experience working at brokerage operations or financial services, with knowledge of accounting principles and market risk concepts (preferred)
- Familiarity with regulatory reporting requirements and financial product structures (a plus)
- Hands-on experience building and orchestrating data pipelines using modern tools such as dbt, Airflow, or similar workflow management platforms
- Working knowledge of cloud infrastructure, particularly AWS services (S3, Redshift, Snowflake or equivalent)
- Proficiency in Python for data manipulation, automation, and scripting
- Experience with version control systems, particularly Git and GitHub, including branching strategies, pull requests, and code reviews
- Proven ability to translate complex business requirements into scalable, data-driven solutions
- Strong data visualization skills with experience using tools such as Tableau, Looker, Power BI, or similar platforms
- Understanding of analytics engineering principles and best practices for building maintainable, well-documented data models
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders
- Demonstrated ability to collaborate effectively with cross-functional teams, including finance, risk, and product teams
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
This role is fully remote; however, we’re only open to candidates based in the US, EU and UK.
RESPONSIBILITIES
- SDLC Infrastructure Ownership: Own and evolve CI/CD infrastructure using GitHub Actions and Kubernetes, with a focus on reliability, scalability, and developer velocity.
- Mobile Release Automation: Automate release workflows including building, signing, and distributing binaries and managing app store submissions across iOS, Android, and Chrome.
- e2e Test Automation: Oversee and improve automated end-to-end testing with Maestro and Playwright across mobile and web.
- CI/CD Optimization: Improve pipeline performance, reliability, and observability to support rapid, high-confidence releases.
- Developer Experience: Partner with engineering teams on SDLC and DevEx improvements, including preview environments and tooling such as Appetize.
- Security & Compliance: Help ensure build, release, and deployment systems meet the security and compliance expectations of a financial product.
- Technical Leadership: Set standards and drive improvements across build, test, release, and deployment workflows, partnering closely with product and engineering teams.
QUALIFICATIONS
- 8+ years of experience in DevOps, Platform Engineering, SRE, Systems Engineering, or a related role, with experience operating at a senior or staff level.
- Strong experience with AWS and CI/CD systems such as GitHub Actions or GitLab CI.
- Strong experience with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or Pulumi.
- Experience supporting CI/CD and release infrastructure for production mobile applications, including iOS and Android.
- Experience working in financial services, fintech, or another environment with meaningful security and compliance requirements.
- Strong track record of improving developer workflows and partnering across engineering teams.
- Nice-to-have: Experience with React Native and/or Expo, mobile preview environments, or Appetize.
- Nice-to-have: Blockchain/crypto experience.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.
About the role
AWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances.
You'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain.
Key responsibilities
Cloud partner engineering (AWS, GCP, Azure)
- Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
- Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)
- Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers
- Partner with cloud account teams on solutioning for named accounts, from discovery through technical win
- Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves
- Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal
- Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets
Marketplace motions with services partners
- Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud
- Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program
Partner technical evangelism and feedback
- Serve as a technical escalation point for complex deployments sourced through cloud partners
- Represent LangChain at cloud provider events, summits, and joint webinars
- Gather feedback from cloud partners and the field, and route it back to product and engineering
What we're looking for
7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.
Cloud and partner experience
- Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win
- Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs
- Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal
- Comfortable working across engineering, partnerships, and sales at the same time
- Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
Agent engineering and development
- Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
- Strong Python skills
Cloud architecture and integration
- Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred.
- Hands-on experience with cloud AI platforms and managed model services
- Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
- Familiarity with vector stores, tool integration, and API design in agentic systems
Key attributes
- You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain
- Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit
- You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you
- You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off
LOCATION:
San Francisco
COMPENSATION:
$185K to $225K
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Kazakhstan; Kyrgyzstan; Uzbekistan
Workplace: Hybrid
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role
You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people.
What you'll do
- Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams.
- Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization.
- Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business.
What you'll own
- Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support.
- Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added.
- Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized.
- Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta).
- Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues.
- Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII.
What makes you a strong fit
- Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala).
- Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics.
- Experience with Delta Lake and lakehouse architectures, including performance optimization.
- Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain.
- Experience writing clean, testable, maintainable code with Git-based version control.
- Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job.
What we offer
Build what's next in Southeast Asian fintech.
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
Relocation and family support
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- US$2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s
Location: District of Columbia
Workplace: onsite
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
As an AI Solutions Architect for Console, you are the technical engine behind Filevine's defense pursuits. This is a deeply technical pre-sales role: rather than demonstrating a fixed product, you will configure and build against development requirements and specific mission use cases, working hand in hand with our forward engineering team to stand up demo environments. You will gather and translate mission requirements into technical direction, shape what gets built to demonstrate capability, and then demonstrate that capability to technical and operational evaluators.
You will work to determine the customer's mission need and the engineering effort that meets it. This role requires deeper engineering and product experience than a traditional sales engineer: you must be able to reason about architecture, data, and AI systems, translate ambiguous mission problems into buildable requirements, and move fast in a development-driven environment. We are building a small, elite team of AI Solutions Architects to attack the defense AI market, and this role is where mission requirements become demonstrated capability.
Responsibilities:
Gather and translate mission requirements
working with DOD customers and Account Executives to turn ambiguous operational problems into clear, buildable technical requirements and use cases.
Support requirements identification and shaping
partnering with capture and product teams to identify emerging mission requirements early and shape them ahead of a formal solicitation.
Configure and build against development requirements
standing up Console demo environments tailored to specific mission use cases — going well beyond a fixed demo script to prove the capability the customer actually needs.
Partner directly with forward engineering
supporting and directing the engineering effort that builds demo environments and prototype capability, and serving as the bridge between customer need and what gets built.
Demonstrate capability to technical and operational evaluators
running credible, mission-relevant demonstrations that show Console solving the problem in the customer's context.
Serve as the technical advisor throughout the pursuit
answering deep technical questions, resolving roadblocks, and supporting technical validation, security questionnaires, and the technical portions of responses.
Support RFPs with demos and documentation
building demo assets and writing the technical narrative and supporting documentation that go into RFP and RFI responses.
Work hand in hand with Account Executives
providing the technical proof that moves defense deals past evaluation and into pilot or production.
Reason about architecture, data, and AI systems
advising on how Console integrates and operates within the customer's environment, including classified and air-gapped constraints.
Feed customer feedback to product teams
feeding mission requirements and field insight back to product and engineering to shape what Console becomes.
Partner with strategic pursuit teams
working closely with Sales, Proposals, Partnerships, and other strategic teams to align technical strategy with the broader pursuit.
Qualifications:
6+ years in a deeply technical role — AI Solutions Architect, Sales Engineer, Forward Deployed Engineer, or a software engineering / technical product role — with meaningful hands-on engineering or product depth.
Strong proficiency in at least one of:
data migration (ETL, SQL, Python/JavaScript), REST APIs and webhook integrations, or cloud platforms (AWS, Azure) and database management.
Demonstrated ability to configure and build against development requirements — you can turn a use case into a working, demonstrable solution, not just present a fixed demo.
Experience translating ambiguous, mission-driven problems into clear technical requirements that an engineering team can build against.
Strong technical foundation: the ability to reason about architecture, data, integration, and AI/LLM systems, and to work credibly alongside engineers.
Experience building or deploying systems powered by LLMs or generative/agentic AI, and an understanding of how model behavior shapes the solution.
Deep understanding of the DOD/national-security customer — how mission owners and program offices operate — and the ability to speak their language.
Comfort operating in a fast-moving, development-driven environment, working directly with forward engineering and Account Executives.
A conceptual, driven, deeply technical operator who can move from requirement to demonstrated capability fast.
Who We're Looking For
We are building an elite strike team to win the defense AI market — conceptual, driven, deeply technical operators. The Console AI Solutions Architect is where mission requirements become demonstrated capability: the person who translates the problem, works with forward engineering to build the proof, and shows the customer what Console can do. This is a rare chance to build defense AI capability at the ground floor of a market we are creating.
Compensation Information: $120,000 - 170,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation:This role is based in our Ballston, VA location, and expected to be onsite 5 days/week.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
Location: District of Columbia
Workplace: onsite
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
As an AI Solutions Architect for Filevine Federal, you are the technical engine behind Filevine's federal civilian pursuits. This is a deeply technical pre-sales role: rather than demonstrating a fixed product, you will configure and build against agency requirements and specific use cases across Filevine's platform — Console included — working hand in hand with our forward engineering team to stand up demo environments. You will gather and translate agency requirements into technical direction, shape what gets built to demonstrate capability, and then demonstrate that capability to technical and program evaluators.
You will work directly with agency POCs to define the customer's agency need and the engineering effort that meets it. This role requires deeper engineering and product experience than a traditional sales engineer: you must be able to reason about architecture, data, and AI systems, translate ambiguous agency problems into buildable requirements, and move fast in a development-driven environment. We are building a small, elite team of AI Solutions Architects to win the federal civilian AI market, and this role is where agency requirements become demonstrated capability.
Responsibilities:
Gather and translate agency requirements
working with federal civilian agency customers and Account Executives to turn ambiguous operational problems into clear, buildable technical requirements and use cases.
Support requirements identification and shaping
partnering with capture and product teams to identify emerging agency requirements early and shape them ahead of a formal solicitation.
Configure and build against development requirements
standing up demo environments across Filevine's platform — Console included — tailored to specific agency use cases, going well beyond a fixed demo script to prove the capability the customer actually needs.
Partner directly with forward engineering
supporting and directing the engineering effort that builds demo environments and prototype capability, and serving as the bridge between customer need and what gets built.
Demonstrate capability to technical and operational evaluators
running credible, agency-relevant demonstrations that show Filevine solving the problem in the customer's context.
Serve as the technical advisor throughout the pursuit
answering deep technical questions, resolving roadblocks, and supporting technical validation, security questionnaires, and the technical portions of responses.
Support RFPs with demos and documentation
building demo assets and writing the technical narrative and supporting documentation that go into RFP and RFI responses.
Work hand in hand with Account Executives
providing the technical proof that moves federal civilian deals past evaluation and into pilot or production.
Reason about architecture, data, and AI systems
advising on how Filevine's platform, including Console, integrates and operates within the customer's environment, including FedRAMP and agency-specific security and compliance constraints.
Feed customer feedback to product teams
feeding agency requirements and field insight back to product and engineering to shape what Filevine's federal platform becomes.
Partner with strategic pursuit teams
working closely with Sales, Proposals, Partnerships, and other strategic teams to align technical strategy with the broader pursuit.
Qualifications:
6+ years in a deeply technical role — AI Solutions Architect, Sales Engineer, Forward Deployed Engineer, or a software engineering / technical product role — with meaningful hands-on engineering or product depth.
Strong proficiency in at least one of:
data migration (ETL, SQL, Python/JavaScript), REST APIs and webhook integrations, or cloud platforms (AWS, Azure) and database management.
Demonstrated ability to configure and build against development requirements — you can turn a use case into a working, demonstrable solution, not just present a fixed demo.
Experience translating ambiguous, agency-driven problems into clear technical requirements that an engineering team can build against.
Strong technical foundation: the ability to reason about architecture, data, integration, and AI/LLM systems, and to work credibly alongside engineers.
Experience building or deploying systems powered by LLMs or generative/agentic AI, and an understanding of how model behavior shapes the solution.
Deep understanding of the federal civilian customer — how agency program offices and procurement processes operate — and the ability to speak their language.
Comfort operating in a fast-moving, development-driven environment, working directly with forward engineering and Account Executives.
A conceptual, driven, deeply technical operator who can move from requirement to demonstrated capability fast.
Who We're Looking For
We are building an elite team to win the federal civilian AI market — conceptual, driven, deeply technical operators. The Filevine Federal AI Solutions Architect is where agency requirements become demonstrated capability: the person who translates the problem, works with forward engineering to build the proof, and shows the customer what Filevine can do. This is a rare chance to build federal civilian AI capability at the ground floor of a market we are creating.
Compensation Information: $110,000 - $140,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation:This role is based in our Ballston, VA location, and expected to be onsite 5 days/week.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks.
What You’ll Do:
Shape the future of Reddit by adapting our platforms to an evolving privacy, security, and regulatory landscape
Partner with product, design, and engineering teams across the company to build trusted, compliant experiences for millions of users
Join a highly visible team where you’ll influence both technical and product strategy, and help define an entirely new product space
Own product areas and shape strategy end-to-end: from technical design and coding to testing, experimentation, analysis, and launch
Lead high-impact, cross-functional initiatives that are critical to Reddit’s business and platform integrity
Raise the bar for engineering by improving workflows, setting standards, and mentoring the next generation of engineers
Qualifications for this role:
5+ years backend development experience with multiple parts of the backend stack, from databases to networking to efficient computing. We develop with Go, Python, Postgres, Redis, Thrift, GraphQL and deploy to Docker/k8s on AWS.
Experience as a tech lead on projects and teams with 3+ backend engineers
Ability to design and implement complex distributed systems operating under high load.
You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure.
Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences.
Experience mentoring engineers, owning team processes, and leading cross-functional projects is preferred.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: United States, San Diego, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$198,200
—
$297,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$163,920
—
$196,712 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$139,869
—
$167,849.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$162,157.50
—
$198,877.25 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
New York City, NY
ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоВеликобритания, США; This role is fully remote; however, we’re only open to candidates based in the US, EU and UK; We strongly encourage candidates of all backgrounds to apply
seniorGermany - Remote
ОфисSan Francisco, CA
ГибридKazakhstan; Kyrgyzstan; Uzbekistan; Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8); Relocation and family support; Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics; Reimbursement of eligible pet relocation expenses
ОфисDistrict of Columbia
ОфисDistrict of Columbia
УдалённоseniorRemote - United States
United States, San Diego, CA; Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment
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