Software-Engineer, Backend-Engineer, Distributed-Systems-Engineer Jobs

You will contribute to the design, development, and operation of backend services supporting millions of vehicles globally. You'll help ensure seamless integration with existing infrastructure and support the team in delivering software that is reliable, high performance, and secure.

Originally posted on Himalayas

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at .

The Role

As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against.

Salary range is:

$180,000 - 225,000

This position is bonus eligible.

Key Responsibilities:

• Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation.
• Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load.
• Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike.
• Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data.
• Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area.
• Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges.
• Take part in a shared on-call rotation for the systems you own.

Requirements:

• 6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production.
• Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#.
• Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail.
• Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work.
• Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
• Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler.
• A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why.
• Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to.
• Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them.

Even Better if You Have:

• React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences.
• Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation.
• Performance work below the application layer: profiling, memory, and concurrency tuning.
• Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
• Exposure to the insurance, claims, or automotive repair domains.

What Success Looks Like:

• In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew.
• You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer.
• You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production.
• You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where.
• Standards you set for reliability, reviews, and design documents outlive the project they started on.
• Engineers you mentor ship reliable services without your direct involvement.
• You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it.
• You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.

Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.

CCC offers competitive compensation and benefits to support you and your families, including:

• 401K Match

• Paid time off

• Annual Incentive Plan Performance Bonus

• Comprehensive health insurance

• Adoption Assistance

• Tuition Reimbursement

• Wellness Programs

• Stock Purchase Plan options

• Employee Resource Groups

For more information about our benefits, please check out our careers site.

Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Originally posted on Himalayas

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are looking for distributed systems and software engineers to work on many of our core backend systems that directly impact our API platform, messaging, personalization, sign-up, partnership, payments, and billing systems.

As an engineer in this function, you will be applying your software development skills to solve complex problems with real world impact. You will be learning and contributing to scalable, highly-available, complex distributed systems powering the most sophisticated entertainment service in the world.

Does this sound like something you’d like to do? Awesome, let’s talk specifics.

What we need from you:

• You are skilled in object-oriented programming and take pride in crafting efficient, maintainable and testable code. You have a solid foundation in computer science and software development concepts.

• You are able to work independently and drive features or components throughout the development lifecycle - from identifying requirements to launching in production.

• You have exposure to the development, debugging, testing and operation of APIs, distributed systems, and cloud-based services.

• You are self-driven, prioritize effectively, and focus on impact.

• You communicate clearly in written and verbal form.

• Your co-workers think of you as someone who is kind and does excellent work.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Originally posted on Himalayas

See yourself at Twilio

Join the team as Twilio’s next Software Engineer, Email Platform (L3)

About the job

This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems.

Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure.

Responsibilities

In this role, you’ll:

• WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones.
• BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team.
• BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines.
• CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring.
• MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale.
• Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows.
• Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python.
• Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB).
• Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity.
• Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems).
• Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures.

Desired:

• Prior experience managing high-throughput applications running inside containerized infrastructure (Docker, Kubernetes).
• Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora).
• Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms.
• Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols.

Location

This role will be remote,but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation

*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600
• Based in the San Francisco Bay area, California: $163,100 - $203,900.
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Applications for this role are intended to be accepted until 7/28/2026, but may change based on business needs.

Originally posted on Himalayas

About Us

Our Values

Think Wild, Act Tame

Green Means GO

Own Every Detail

Every Moment Counts

Stay Human

About the Role

What You’ll Do

Design and build the durable workflows and services that will replace our current event-driven flows, defining service boundaries, state ownership, idempotency, and retry semantics
Use of agentic coding tools on hard problems: setting up context, breaking down problems, and verifying output
Write and ship production code in Node.js and TypeScript every day, using agentic coding tools (Claude Code and similar) as your primary way of working
Define the reference patterns (service templates, shared libraries, code generators) that every rebuilt service follows
Plan and execute the migration in increments that keep production running, with tested rollbacks
Build and maintain the tooling around our AI workflow: MCP servers, evaluation scripts, and automated checks that hold AI-generated code to the same bar as hand-written code
Instrument services with metrics, alerts, dashboards, and tracing, and own production incidents end to end
Make targeted changes in our React and Angular applications when backend work requires them
Partner with product, growth, and other engineers, and contribute to code reviews and architecture discussions

What We’re Looking For

Strong backend engineering with production experience in Node.js and TypeScript
Hands-on experience building and operating distributed or event-driven systems, and a working understanding of how they fail
Experience using AI tools to drive a large code migration at scale (framework upgrade, service rewrite, language port)
Curiosity about agent harnesses, MCP, and A2A protocols; production deployment of agents is not required
Experience contributing to a migration or re-platform on a live system
Comfort reading unfamiliar code and data models and spotting problems in them
Enough frontend literacy to trace a problem from the UI down to the service layer
Clear written communication and comfort working in a remote, async-friendly environment
Bonus Points
Hands-on experience with a durable execution or workflow orchestration engine, in any language
You’ve built or contributed to an MCP server, an agent harness, an evaluation suite, or a multi-agent system, whether as a side project, open source, or an internal tool
Experience in InsurTech, FinTech, or another regulated industry in a similar environment to our tech stack

Thimbler Benefits & Perks!

Originally posted on Himalayas

Senior Software Engineer, Fulfillment Team

As a Senior Software Engineer on the Fulfillment Team, you'll own the core applications and algorithms that power our freight and Less-Than-Truckload (LTL) carrier network. You will design, build, and ship the critical backend systems that handle carrier profiles, fleet management, schedules, and onboarding workflows.

You will architect the core marketplace mechanics that handle automated dispatch, including matching shipments to carriers, scoring assignments, and managing the expiration of stale offers, across a high-velocity, real-time logistics infrastructure. This role sits at the intersection of complex physical constraints and highly reliable software.

You will integrate routing, pricing, and payout rules to ensure shipments are serviced on-time and financial pipelines remain accurate. This is a deep, hands-on engineering position with complete autonomy where you will debug production issues, ship API endpoints and database migrations, and reliably operate background jobs and event-streaming workflows in production.

You will partner directly with Product, Operations, Data Science, and company leadership to scale a fault-tolerant carrier domain that demands absolute precision and execution speed.

Why This Role

You'll join a small, tight, talented team of engineers that moves quickly, operates autonomously, and stays focused on shipping. You won't be a small cog in a massive system. You'll be the engineer shaping the application architecture and its direct business impact. If you're driven by mission, addicted to hard problems, and obsessed with financial precision, this is where you'll do the best work of your career.

Core Tech Stack

Based on current enterprise integrations and engineering standards, you will primarily work with:

• Languages & Frameworks: TypeScript, Node.js, React, NestJS, BullMQ

• Infrastructure & Datastores: Postgres, Redis, Kafka

• Core Systems & Integrations: Payment processing, routing/optimization tooling, CRM, LTL freight carrier APIs

Upcoming Initiatives

The Fulfillment team's mission is to service shipments reliably and economically at scale, provide customers maximum visibility, and reduce the need for manual support intervention in case of delays and problems.

• Delivery Appointments: Give customers more control and better visibility over delivery appointments — letting them choose window tightness and how it's set, pricing the appointment fee based on length and setup complexity, and allowing customers to make changes. Appointments are a top customer pain point and a major driver of support tickets.

• Partner LTL Tracking: Improve and evolve integrations with LTL carrier partners (who each provide varying levels of tracking data) to show customers the most accurate, up-to-date tracking information and let them relay updates back to carriers.

• AI Agents for Delay Mitigation: Much of the freight industry still runs on humans and phone calls, and carrier API updates are often delayed. Build AI agents that call carrier support teams to get updates and resolve problems when APIs lag, delivering fast, human-like service at scale.

What You'll Do

• Core Carrier Infrastructure: Engineer, scale, and evolve the microservices and dispatch backend software powering carrier routing, automated matching, and the LTL network.

• Lifecycle Architecture: Take highly ambiguous freight-coordination problem statements, map them to physical-world constraints, design the technical schema, and ship clean, extensible code.

• Pragmatic Value Delivery: Maintain strict execution discipline — aggressively cut scope to deliver high-frequency, incremental product value over complex, over-engineered systems.

• Domain Immersion: Deeply understand the physical-world nuances of freight mechanics, load boarding, and driver workflows so technical designs map cleanly to operational realities.

• Stewardship & Reliability: Lead deep dives into system reliability, debugging, and data correctness; own continuous improvement, monitoring, and alerting for deployed services.

• Cross-Functional Collaboration: Partner across engineering, product, and operations to design high-leverage product workflows that stay fast and resilient under scale.

What You Bring

• 4+ Years of Backend Experience: A proven track record building, scaling, or maintaining mission-critical backend systems in high-growth production environments where data integrity is non-negotiable.

• Distributed Systems Architecture: Hands-on experience architecting resilient product infrastructure, microservices, and asynchronous event-driven data pipelines (Kafka/Redis).

• Data Layer Mastery: Deep comfort with PostgreSQL — schema design, data modeling for complex business workflows, query performance optimization, production schema migrations, and concurrency handling.

• System Design Fundamentals: You think naturally in data structures, state machines, race conditions, and asynchronous systems, and know exactly when and what trade-offs to make.

• No-Ego Collaboration: Thoughtful communicator able to explain complex technical decisions clearly to both developers and business stakeholders, prioritizing team velocity and pragmatism over personal technical side-quests.

About the Company

The company is rebuilding freight for the on-demand economy, applying cutting-edge engineering to the complex, unpredictable physical world — linking sophisticated software with tangible logistics operations so code directly moves real-world goods and scales global supply chains. The Fulfillment team operates a high-velocity freight marketplace offering instant quoting, automated dispatch, and real-time visibility, turning complex physical logistics into modern software workflows.

Originally posted on Himalayas

This is a remote opportunity for candidates located in Canada and US.

The Opportunity:

The Grafana Search & Storage squad is developing Grafana’s next-generation storage layer. As a key component of our App Platform, Unified Storage enables developers to build innovative applications using a Kubernetes-inspired Operator pattern to interact with data directly.

In addition to operating Unified Storage at scale within Grafana Cloud, our team manages two essential features for discovery and organization: Search, the unified engine for finding and querying all Grafana data, and Folders, for hierarchical content management.

What You’ll Be Doing:

• Take an active role in influencing our roadmap and your own career objectives
• Work with your team to deliver new features, then use the results to iterate and improve.
• Drive projects from initial ideation all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and
• availability
• Be a part of your team’s on-call rotations and take ownership of the services you’re running
• Mentor and support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

• You are a motivated self starter with a bias towards action
• You are customer focused
• We build everything with our users in mind.
• You have a passion for creating intuitive products that fit customers’ needs
• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
• Solid experience with Go, Rust, Python, or other similar programming languages
• Demonstrated knowledge of and experience working with large distributed systems
• Experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Experience with developing software that runs in the Cloud o r experience with systems engineering
• Experience writing clean, robust, and performant software that is easily maintained by others

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.

Bonus Points For:

• Have been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Familiarity with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code

In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Originally posted on Himalayas

The Team

Upstart’s Marketplace Optimization team is part of Capital Marketplace Engineering and is responsible for optimizing Upstart’s two-sided capital marketplace. Across Matching & Offer Selection and Monetization, the team builds the real-time decisioning systems, experimentation capabilities, and marketplace services that help match borrowers with sources of capital while improving marketplace efficiency, investor utilization, and business outcomes.

As a Software Engineer II, you will help design and build systems that enable faster experimentation, more sophisticated marketplace decisioning, and new monetization capabilities. You’ll work on business-critical systems where engineering decisions can directly influence revenue, profitability, capital utilization, borrower experience, and the scalability of Upstart’s marketplace.

How you’ll make an impact

• Design, build, and operate scalable backend systems that power real-time marketplace decisioning, matching, offer selection, and monetization.
• Build flexible platform capabilities that enable experimentation with allocation strategies, marketplace economics, and new monetization approaches while maintaining reliability and scalability.
• Develop reliable, observable services that balance availability, latency, correctness, and operational simplicity across complex distributed systems.
• Partner with Product, Machine Learning, Pricing Engineering, Data Science, Capital Markets, and Lending Partnerships to translate marketplace needs into effective technical solutions.
• Make architectural decisions that simplify systems, reduce coupling across marketplace and adjacent platforms, and create reusable capabilities that support future marketplace innovation.
• Use Generative AI tools thoughtfully throughout the development lifecycle to accelerate implementation, testing, debugging, documentation, and learning while maintaining ownership of technical decisions, security, code quality, and correctness.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or its equivalent) and 2 years of software engineering experience.
• Experience designing, building, and operating scalable backend or distributed systems in production.
• Experience developing production services using one or more modern backend programming languages.
• Experience building and operating business-critical systems with demonstrated use of testing, monitoring, incident response, and root cause analysis.
• Experience designing production systems where reliability, availability, observability, and correctness are critical.

Preferred Qualifications

• Experience with marketplaces, financial systems, recommendation or matching engines, optimization systems, or experimentation platforms.
• Knowledge of low-latency, high-throughput distributed system design and architecture.
• Experience partnering with machine learning or data science teams to integrate models or data-driven decisioning into production systems.
• Experience with Ruby, Ruby on Rails, Python, or Kotlin.
• Ability to navigate ambiguous technical and business problems, evaluate tradeoffs, and collaborate across engineering, product, and business teams.

Position location This role is available in the following locations: Remote from USA or Canada (except Quebec).

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

--> use for L3, L4

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

--> use for L3, L4

Originally posted on Himalayas

The Blockchain Data Platform team within the Platform organization builds an ultra-low-latency indexing platform that ingests, normalizes, and serves data across major blockchains, powering teams across Coinbase and external developers via the Coinbase Developer Platform. We're a small, high-impact, AI-native team taking a platform-first approach, shipping the primitives, SDKs, and tooling that make blockchain indexing as easy as building on a managed database. You'll build and operate the distributed systems at the core of this platform, owning services end-to-end from design through production.

What you'll do:

• Build and operate distributed systems for real-time blockchain data ingestion, indexing, and query, owning services end-to-end from design docs and data modeling through code, rollout, and observability.
• Own delivery of key initiatives such as new chain integrations, migrations, and backfills, driving improvements to latency, reliability, and cost.
• Partner with product and platform teams to define data contracts and contribute to SDKs and primitives that drive adoption across Coinbase and external developers.
• Execute architecture and performance improvements across the indexing stack, applying strong systems design fundamentals around partitioning, consistency, stream processing, and storage boundaries.
• Support engineering quality across the team through code reviews, testing rigor, and leveraging AI tools to ship faster and reduce operational burden.

Required Skills and Experience:

• 2+ years of software engineering experience building and operating distributed or data systems in production.
• Solid systems design fundamentals including partitioning, consistency/availability tradeoffs, stream processing, and storage/compute boundaries.
• Proficiency in a backend language such as Go and/or Python, with familiarity across technologies like Kafka, gRPC, Redis, S3, ClickHouse, or MongoDB.
• Demonstrated ability to turn ambiguous problems into clear designs and shipped solutions with measurable impact.
• Blockchain or crypto data experience is a plus, including familiarity with chain data structures, finality, reorgs, RPC nodes, or wallets.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Originally posted on Himalayas

About the Opportunity

Premier Global Links LLC is recruiting a Staff-level Software Engineer for an innovative technology company building high-scale data integration and synchronization systems.

This role focuses on designing and scaling distributed backend systems that move large volumes of customer data reliably and efficiently. You will tackle complex engineering challenges involving streaming, performance optimization, system reliability, and multi-region cloud infrastructure.

The ideal candidate is a hands-on backend engineer with strong distributed systems fundamentals, experience scaling mission-critical services, and a track record of delivering high-impact projects in fast-growing technology companies.

Key Responsibilities

• Design, build, and scale distributed backend systems for high-volume data synchronization.
• Improve data processing throughput, synchronization speed, system reliability, and performance.
• Develop event-driven and streaming architectures using technologies such as Kafka and message queues.
• Identify and resolve bottlenecks across distributed services, databases, and cloud infrastructure.
• Build systems capable of supporting significant growth in data volume, traffic, and customer demand.
• Contribute to multi-cloud and multi-region infrastructure, including data residency requirements.
• Design low-latency services and caching systems for real-time data access and personalization.
• Collaborate with engineering teams and customers to solve complex scalability challenges.
• Own technical projects from architecture and implementation through deployment and optimization.
• Establish engineering practices that improve observability, reliability, and maintainability.

Required Qualifications

• 7+ years of professional software engineering experience, including substantial backend and distributed systems work.
• Staff-level engineering capability, demonstrated through technical ownership, system design, and high-impact contributions.
• Experience working at a high-growth technology company or startup through significant stages of growth.
• Strong understanding of distributed systems architecture, scalability, fault tolerance, and performance optimization.
• Proven experience designing and scaling production systems that handle substantial data volumes or high throughput.
• Experience building event-driven systems, data pipelines, or synchronization services using technologies such as Kafka and message queues.
• Familiarity with SQL databases, Docker, Kubernetes, and cloud-based production environments.
• Experience troubleshooting complex backend systems and improving system reliability.
• Strong communication skills and the ability to collaborate across engineering teams.
• Ability to work remotely within U.S. or Canadian time zones.

Preferred Qualifications

• Experience building data synchronization engines or processing terabytes of data per day.
• Knowledge of streaming technologies and frameworks such as Kafka, Spark, or Flink.
• Experience with multi-cloud, multi-region, and globally distributed infrastructure.
• Experience developing low-latency APIs, caching layers, or real-time personalization systems.
• A degree in Computer Science or a related field.
• An active GitHub profile, technical portfolio, or relevant open-source contributions.

Compensation and Benefits

• Annual salary range: $180,000–$320,000.
• Competitive equity package.
• Remote-first work environment across the United States and Canada.
• High ownership and autonomy over technical projects.
• Opportunities to solve challenging distributed systems and large-scale infrastructure problems.

Final compensation will depend on experience, qualifications, and the overall compensation package.

Premier Global Links LLC is an Equal Opportunity Employer. Qualified applicants will be considered in accordance with applicable employment laws.

Originally posted on Himalayas

About the Opportunity

Premier Global Links LLC is recruiting a Staff-level Software Engineer for an innovative technology company building high-scale data integration and synchronization systems.

This role focuses on designing and scaling distributed backend systems that move large volumes of customer data reliably and efficiently. You will tackle complex engineering challenges involving streaming, performance optimization, system reliability, and multi-region cloud infrastructure.

The ideal candidate is a hands-on backend engineer with strong distributed systems fundamentals, experience scaling mission-critical services, and a track record of delivering high-impact projects in fast-growing technology companies.

Key Responsibilities

• Design, build, and scale distributed backend systems for high-volume data synchronization.
• Improve data processing throughput, synchronization speed, system reliability, and performance.
• Develop event-driven and streaming architectures using technologies such as Kafka and message queues.
• Identify and resolve bottlenecks across distributed services, databases, and cloud infrastructure.
• Build systems capable of supporting significant growth in data volume, traffic, and customer demand.
• Contribute to multi-cloud and multi-region infrastructure, including data residency requirements.
• Design low-latency services and caching systems for real-time data access and personalization.
• Collaborate with engineering teams and customers to solve complex scalability challenges.
• Own technical projects from architecture and implementation through deployment and optimization.
• Establish engineering practices that improve observability, reliability, and maintainability.

Required Qualifications

• 7+ years of professional software engineering experience, including substantial backend and distributed systems work.
• Staff-level engineering capability, demonstrated through technical ownership, system design, and high-impact contributions.
• Experience working at a high-growth technology company or startup through significant stages of growth.
• Strong understanding of distributed systems architecture, scalability, fault tolerance, and performance optimization.
• Proven experience designing and scaling production systems that handle substantial data volumes or high throughput.
• Experience building event-driven systems, data pipelines, or synchronization services using technologies such as Kafka and message queues.
• Familiarity with SQL databases, Docker, Kubernetes, and cloud-based production environments.
• Experience troubleshooting complex backend systems and improving system reliability.
• Strong communication skills and the ability to collaborate across engineering teams.
• Ability to work remotely within U.S. or Canadian time zones.

Preferred Qualifications

• Experience building data synchronization engines or processing terabytes of data per day.
• Knowledge of streaming technologies and frameworks such as Kafka, Spark, or Flink.
• Experience with multi-cloud, multi-region, and globally distributed infrastructure.
• Experience developing low-latency APIs, caching layers, or real-time personalization systems.
• A degree in Computer Science or a related field.
• An active GitHub profile, technical portfolio, or relevant open-source contributions.

Compensation and Benefits

• Annual salary range: $180,000–$320,000.
• Competitive equity package.
• Remote-first work environment across the United States and Canada.
• High ownership and autonomy over technical projects.
• Opportunities to solve challenging distributed systems and large-scale infrastructure problems.

Final compensation will depend on experience, qualifications, and the overall compensation package.

Premier Global Links LLC is an Equal Opportunity Employer. Qualified applicants will be considered in accordance with applicable employment laws.

Originally posted on Himalayas