Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering.
In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise.
Key Responsibilities
Production MLOps & Systems Architecture
Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring.
Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments.
Process Engineering & Manufacturing ML Integration
Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems.
Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases.
Scalable Inference & System Integration
Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications.
Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow).
Technical Leadership & Domain Alignment
Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions.
Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle.
Requirements
Experience & Mindset
Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling.
Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications).
Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area.
Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams.
Must-Have Technical Stack
Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn.
MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime.
Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure).
Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines.
Domain Competency (Scientific & Process Focus)
Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization).
Nice-to-Haves & Certifications
Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline.
Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors.
Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials.
What This Role Is NOT
Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code.
Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution.
Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.
seniorIndianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
Location: Singapore
About the Job:
As a Senior Enterprise Account Executive, you will play a pivotal role in winning, nurturing and expanding relationships with Large Enterprise accounts within your designated territory. You should possess exceptional drive to build new business, using stakeholder development, business acumen, a customer-centric approach, and the self-motivation to thrive with minimal supervision. Moreover, you must be adaptable and proficient in wearing multiple hats as you take on this crucial responsibility representing a fast-growing leader in an exciting new category. We have full confidence in your ability to make the right decisions and drive results autonomously.
LaunchDarkly is a rapidly evolving software company with a strong mission and vision, powered by a diverse and talented team. Our mission is to accelerate software development by empowering teams. Joining our dynamic and fast-growing team, you will make an immediate impact on our product and customer success.
Responsibilities:
Ownership of Large Enterprise Accounts: You will be the primary point of contact and relationship owner for large enterprise accounts within your territory. You'll lead the market penetration in your territory.
Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives.
Ensure Successful Adoption: Ensure the seamless expansion of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction.
Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives within these large enterprises.
Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers.
Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively.
About You:
Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities.
Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly.
Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. You are comfortable selling to technical, knowledgeable personas.
Excellent Communication: Your written and spoken communication skills are outstanding.
Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy.
Adaptability: You excel in a fast-paced and dynamic organizational setting.
Qualifications:
10+ Years of Enterprise (closing) Sales Experience
Extensive experience in a senior sales role, specifically selling technical solutions to Key Accounts in the region
Demonstrable track record of consistently meeting or exceeding quota expectations.
You possess the expertise to navigate consultative, value-driven sales cycles with Executive-level stakeholders at Key Enterprise companies.
You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively landing and expanding business within large enterprise accounts.
Recent experience working for an emerging technology software company is a significant plus.
Understanding of DevOps practices and technologies, including CI/CD pipelines, automation, cloud infrastructure, and containerization.
Business level language proficiency with any one of the languages- Korean, Bahasa Indonesian, or Japanese
Familiarity with and experience using the MEDDPIC sales methodology is advantageous.
Travel: expected range of 25% to 50%
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Lithuania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: Romania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: Paris; San Francisco
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture.
In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale.
This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.
KEY RESPONSIBILITIES
FIRST CUSTOMER’S POINT OF CONTACT
- Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries.
- Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution.
- Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently.
- Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.
TECHNICAL SUPPORT
- Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for:
- GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures).
- Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations).
- Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters).
- Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems.
- Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues.
- Participate in on-call rotations to provide 24/7 support for critical compute systems
- Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.
KUBERNETES & CONTAINERIZATION
- Debug Kubernetes clusters with a focus on:
- Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff).
- Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses).
- Resource management (e.g., Requests/Limits, QOS classes, node affinity).
- Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors.
- Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.
DOCUMENTATION & PROCESS IMPROVEMENT
- Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting).
- Contribute to post-mortems with actionable follow-ups to prevent recurring incidents.
- Train internal teams on best practices for compute infrastructure and debugging.
- Help define and refine support processes as a founding member of the new Compute Support team.
What We’re Looking For
REQUIRED SKILLS & EXPERIENCE
- 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization).
- Deep Linux/Unix expertise:
- Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling).
- Performance tuning (e.g., sysctl, ulimit, filesystem optimizations).
- Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH).
- Storage management (e.g., LVM, RAID, NVMe, GPU-local storage).
- Hands-on Kubernetes experience is mandatory:
- Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl).
- Networking and storage (e.g., CNI plugins, PersistentVolumes).
- Resource management (e.g., Requests/Limits, QOS classes).
- Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).
- Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks).
- Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus.
- Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders.
- Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability.
- Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach.
- Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Ukraine
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: Bengaluru, Karnataka, India, APAC
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
We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day.
This is a full-time position based out of our Bangalore office
Technologies You’ll Use
Java
SQL
Bazel, BuildKite, Docker, Kubernetes, Github
AWS, GCP, Azure
Postgres database
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s.
Experience interacting with continuous integration tools like Buidkite.
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of Data Engineering is a plus
Optional (Bonus Skills)
Experience in data processing (ETL, ELT) and/or cloud-based platforms.
#LI-HYBRID
#LI-PE1
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: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Sales Enablement Specialist to support the day-to-day enablement needs of our Go-To-Market (GTM) organization. Reporting to the Head of Sales Enablement, you will manage core enablement systems, run role-specific new hire onboarding, organize and execute trainings, build the reporting that shows how enablement is landing with the field, and help keep the enablement team operating smoothly.
This is a great role for an enablement practitioner who enjoys variety — one day you’re pulling a Gong and Mindtickle report — translating data to strategic action, the next you’re running a live onboarding session with new hires, and the next you’re partnering with Marketing on a launch. If you’re organized, resourceful, and energized by helping the sales team succeed, this role is for you.
RESPONSIBILITIES
Systems & Administration
- Own day-to-day administration of Mindtickle and other enablement systems: content, users, assignments, and reporting.
- Keep enablement systems organized, up to date, and easy for the field to navigate.
- Troubleshoot access and content issues, and act as the go-to point of contact for tool support.
New Hire Onboarding & Ramp
- Build and run role-specific onboarding programs for new Sales and GTM hires, from curriculum design through live facilitation.
- Meet regularly with new hires throughout ramp to check progress, answer questions, and be their go-to guide through onboarding.
- Directly train new hires on core systems and processes (e.g., Salesforce, Mindtickle, Gong, and sales workflows) as part of onboarding.
- Arrange and coordinate subject matter experts from Sales, Product, and other teams to support onboarding training and education needs.
- Maintain onboarding curricula and materials, updating them as products, tools, and processes evolve.
- Track new hire progress and readiness, flagging gaps to managers and enablement leadership.
Sales Insights & Reporting
- Build, monitor, and maintain reporting on enablement program participation, completion, and effectiveness across Mindtickle and other systems.
- Partner with Sales leadership to translate Gong call analytics and other field data into actionable insights on rep performance, messaging adoption, and skill gaps.
- Use enablement and conversation intelligence data to identify where the GTM team needs more support, and recommend enablement programs to close the gaps.
- Present reporting and insights to enablement and Sales leadership to inform program priorities.
Training & Program Execution
- Organize and execute ongoing sales enablement trainings, workshops, and certifications for the field.
- Handle logistics for enablement programs: scheduling, communications, materials, and follow-up.
- Create sales enablement content as needed — quick-reference guides, updates, and job aids.
Cross-Functional Support & Operations
- Work cross-functionally with Marketing, Product, and other stakeholders to support enablement needs.
- Support the operational backbone of the Enablement team: calendars, budgets, and program tracking.
- Gather feedback data to help the team continuously improve programs.
QUALIFICATIONS
Required
- 2+ years of experience in sales enablement, sales operations, learning & development, or a related role, ideally in SaaS.
- Hands-on experience administering an LMS or sales enablement platform (Mindtickle strongly preferred).
- Experience supporting or running onboarding programs for a sales or GTM team, including live facilitation.
- Experience building or interpreting reporting on enablement participation, completion, and program effectiveness.
- Familiarity with conversation intelligence platforms such as Gong (or similar), and using call data to surface coaching and enablement insights.
- Strong organizational and project management skills — you can juggle multiple programs and deadlines.
- Comfortable creating content, including documents, guides, and presentations.
- Excellent communication skills and a service-minded, “how can I help” approach to the field.
- Ability to work cross-functionally with Marketing, Product, and Sales leadership.
Strongly Preferred
- Direct experience administering Mindtickle and Gong (or a similar sales engagement/conversation intelligence platform).
- Experience designing or facilitating live or virtual sales training sessions.
- Familiarity with sales methodologies such as Command of the Message or similar frameworks.
- Comfort working with reporting or BI tools (e.g., Excel, Google Sheets, Tableau, Sigma) to build enablement dashboards.
- Exposure to containerization, DevOps tooling, or developer platforms (Docker experience a significant plus).
WHAT TO EXPECT
We believe in setting people up to win. Here’s what great looks like in this role:
FIRST 30 DAYS — LEARN & LISTEN
- Ramp on Docker’s products, GTM motion, and current enablement programs and systems.
- Shadow onboarding sessions and get hands-on in Mindtickle and Gong.
- Build relationships across Sales, Marketing, Product, and the Enablement team.
FIRST 90 DAYS — TAKE OWNERSHIP
- Own day-to-day Mindtickle administration and at least one full onboarding cohort, including live sessions and 1:1s with new hires.
- Stand up an initial enablement reporting view covering participation, completion, and Gong-based insights.
- Independently execute a training or certification program for the field.
FIRST YEAR — DRIVE IMPACT
- Be the trusted owner of enablement systems, onboarding, and reporting, with new hires ramping faster and leadership relying on your insights.
- Run trainings and programs independently and be seen as a dependable Enablement partner.
- Use enablement and Gong data to proactively recommend where the GTM team needs more support.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$135,100– CA$193,000 + equity
United States: $97,300 – $139,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
About the Role
We are looking for a unique Senior Backend Engineer who bridges the gap between powerful infrastructure and scalable, maintainable application architecture. You are as comfortable managing Kubernetes clusters as you are architecting complex server-side logic and ensuring long-term code health. In this role, you will own the full lifecycle: designing robust RESTful architectures, orchestrating containers via Kubernetes, and building systems that are as resilient as they are efficient.
Key Responsibilities
You’ll create and develop Kubernetes Operators using Go & Operator SDK, implemented as microservices.
End-to-End Development: Design and develop high-performance web applications with a focus on high availability architectures and disaster recovery scenarios.
Infrastructure & Orchestration: Manage containerized environments using Kubernetes or Docker Swarm (including deployment, scaling, and health.
Requirements
7+ years of professional experience in Backend development, with minimum 5 years of experience in Go.
Experience as a Tech lead/Team lead.
Hands-on production experience with Kubernetes.
Experience using Go & Operator SDK
Experience with AWS. (proven experience developing and maintaining operators for managing resources in AWS)
Advantage
Proficiency in modern server-side languages such as Node.js, Python or Rust.
Experience with GCP or Azure.
Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Your Purpose
At Bitso, the Software Engineer on the Nexus Squad owns the reliability, scalability, and evolution of our mission-critical pay-in and pay-out systems, the financial backbone that moves billions of dollars worldwide.
You will design and deliver event-driven, high-throughput solutions that ensure every pay-in and pay-out is fast, accurate, and resilient.
Working closely with product, infrastructure, and compliance stakeholders, you will shape the technical direction of a domain where the bar for quality is exceptionally high, resilience is built through continuous learning, and every millisecond of performance matters — for the millions of retail users and the businesses that rely on Bitso to power their financial operations.
Reports To
This role reports to the Nexus Engineering Manager.
Who You Are
You are experienced in Java backend development, with a proven track record of shipping production systems at scale.
You are familiar with event-driven architecture patterns (event sourcing, CQRS, sagas) and have hands-on experience operating Apache Kafka in high-throughput, real-money environments.
You have designed and implemented distributed, fault-tolerant microservices that handle financial or similarly critical transactional data.
You have solid experience with relational databases (PostgreSQL preferred), including schema design, migrations, and query optimization.
You are comfortable with cloud-native infrastructure (AWS, GCP, or equivalent), containerization (Docker, Kubernetes), and CI/CD pipelines.
You communicate complex technical concepts clearly in English, written and spoken, to engineering peers, product managers, and senior leadership.
You work with a high degree of autonomy and ownership — you identify problems, propose solutions, and see them through to production.
You are familiar with AI-assisted development flow and tools (Cursor, Claude, CodeRabbit).
You have a strong sense of urgency and are comfortable operating in a fast-paced, high-stakes fintech environment.
Financial Domain (nice to have):
Familiarity with payment rails, reconciliation or idempotent transaction processing in financial systems is a strong plus.
What You Will Do
Own pay-in and pay-out systems: design, build, and maintain the core infrastructure that processes financial transactions and moves billions of dollars worldwide.
Architect event-driven solutions: design Kafka-based pipelines and workflows that guarantee correctness, ordering, and resilience at scale.
Drive technical decisions: lead architecture discussions, define and use patterns, and set standards for the pay-in and pay-out domain in collaboration with the Nexus team.
Deliver high-quality code: write clean, well-tested, high-performance Java code and champion engineering best practices through code reviews.
Embrace AI-assisted development: leverage tools like Cursor, Claude, and CodeRabbit as part of your everyday workflow, contribute to skills and guardrails development, and apply Spec-Driven Development (SDD) practices to ensure solutions are well-defined, reviewable, and aligned before implementation begins.
Ensure system reliability: proactively monitor, debug, and resolve production incidents with a focus on root-cause analysis and lasting fixes.
Collaborate cross-functionally: partner with Product, Compliance, and Finance stakeholders to translate complex business requirements into sound technical solutions.
Mentor and uplift: share knowledge with fellow engineers, contribute to internal tech talks, and foster a culture of continuous improvement within the squad.
Improve observability: instrument services with comprehensive metrics, logs, and traces to enable rapid diagnosis and confident deployments.
Research
in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we're looking for. If this role excites you but you don't match every point in the description, we still want to hear from you.
Location: Poland
Workplace: Remote
Coder is looking for a Customer Support Engineer to join our dynamic, collaborative team. In this pivotal role, you’ll work hand-in-hand with our Product and Customer Success teams, making a direct and lasting impact on our fast-growing business. As part of a small, agile group, your expertise will be highly visible, helping shape the future of our Customer Support function.
We’re looking for someone who thrives in a fast-paced environment built on open communication, continuous learning, and creative problem-solving. You are proactive, detail-oriented, tactful, and endlessly curious about new technologies. With a natural instinct for automation, process improvement, and exceptional customer experiences, you’ll troubleshoot complex issues, deliver timely and effective solutions, and communicate with clarity and empathy.
Above all, you’ll be a passionate advocate for our customers by driving satisfaction, fostering success, and elevating the support experience at every touchpoint.
What you’ll do here
- Reproduce and debug customer issues by building or using existing test environments and tools
- Communicate tactfully with customers
- Gather information, provide diagnostic and resolution steps, convey process and product guidance and follow up after issues are resolved
- Solve incoming technical support requests in a timely manner, including high-severity urgent cases
- Identify and communicate product usage trends, bugs and feature requests
- Guide and mentor new team members on processes and procedures
- Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls
- Document and record all activity with customers in accordance to both internal and external security standards
- Help build out the scope of the team by contributing to product documentation, customer knowledge base, and best practices guides
- Continuously improve process and tools in collaboration with the team
- Periodic on-call rotation for production-down issues
What we’re looking for
- 3+ years of customer support engineering experience (or comparable customer-facing technical role), preferably for mission-critical software
- 3+ years supporting enterprise-sized companies
- 2+ years diagnosing production network connectivity and performance issues
- Excellent problem solving, analytical and troubleshooting experience
- Experience communicating clearly and effectively, both verbally and in writing
- Experience with Terraform
- Experience with major cloud platforms, distributed systems, microservices architecture, and containerization (e.g., Kubernetes)
- Experience with scripting tool of choice to help automate reproduction environments (e.g., Bash, Python, Ruby)
- Ability to read complex code for troubleshooting
- Experience with GitHub
- Experience with REST APIs and command line tools
- Well-organized, excellent work ethics, attention to detail, and ability to learn new technologies quickly
- Experience working in a startup environment
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- DevOps Engineering, Software Engineering, and/or System Administration experience
- Software-defined networking experience (e.g., Tailscale)
- Experience supporting engineering teams and associated tooling
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: St. Petersburg, Russia; Moscow, Russia; Belgrade, Serbia
Workplace: remote
At
NOVACARD
, we’re redefining how people use
credit. We
are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to
$200,000 MXN in credit
, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We’re looking for a DevOps Engineer to design, deploy, and operate AWS infrastructure for a large-scale migration of a digital financial product. You’ll build and maintain a production-ready platform covering AWS networking, Kubernetes/EKS, CI/CD, observability, backup/restore, and secure access management. You’ll collaborate closely with development, system analysis, QA, and engineering teams to ensure fast delivery, stable services, and a controlled migration.
Key Responsibilities:
AWS Infrastructure Design & Operations
Design, deploy, and maintain AWS infrastructure: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53.
Configure AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing.
Ensure HA, backup/restore, disaster recovery, and production infrastructure principles.
Create and maintain AWS infrastructure as code using Terraform.
Kubernetes & Containerization
Build and operate Kubernetes on AWS (EKS).
Work with core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount.
Use Helm for application management.
Configure Ingress Controller, Load Balancer, and TLS/certificates.
Understand Kubernetes storage and ensure stateful applications run reliably.
Work with Docker: image builds, registry, container troubleshooting.
CI/CD & Automation
Build CI/CD processes, preferably with GitLab CI.
Automate deployment of applications and dependent services.
Integrate infrastructure changes into pipelines and maintain reproducible environments.
Observability, Reliability & Operations
Set up monitoring with Prometheus + Grafana: metrics and alerts.
Organize centralized log collection and analysis: Loki/ELK/OpenSearch.
Diagnose network and system issues in Linux.
Ensure production stability, respond to incidents, and eliminate root causes.
Security & Access Management
Manage secrets: AWS Secrets Manager / Vault/OpenBao / External Secrets.
Configure RBAC/IAM and follow the principle of least privilege.
Ensure secure service-to-service communication and infrastructure access.
Data & Services
Support PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level.
Ensure backup/restore and fault tolerance for stateful services.
Help teams deploy and maintain dependent services in Kubernetes.
Key Requirements:
AWS & Networking
Strong AWS experience: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53.
Good understanding of AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing.
Kubernetes & Containers
Hands-on experience building and operating Kubernetes on AWS (EKS).
Understanding of core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount.
Experience with Helm.
Experience configuring Ingress Controller, Load Balancer, and TLS/certificates.
Experience with Docker: image builds, registry, container troubleshooting.
Understanding of Kubernetes storage and stateful application operation.
IaC & CI/CD
Terraform — creating and maintaining AWS infrastructure as code.
Experience building CI/CD, preferably GitLab CI.
Data, Queues & Storage
Experience with PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level.
Understanding of HA, backup/restore, disaster recovery, and production infrastructure principles.
Monitoring, Logging & Secrets
Monitoring: Prometheus + Grafana, configuring metrics and alerts.
Centralized log collection and analysis: Loki/ELK/OpenSearch.
Secrets management: AWS Secrets Manager / Vault/OpenBao / External Secrets.
Linux & Security
Linux administration and confident diagnosis of network and system issues.
Experience configuring RBAC/IAM and following the principle of least privilege.
Especially Important Practical Experience:
The engineer must be able to design an AWS network from scratch → set up EKS → deploy an application and dependent services → configure ingress/DNS/TLS → CI/CD → monitoring/logging → backup → hand over a production-ready infrastructure for operation.
Nice to Have:
Experience migrating lending systems or fintech products.
Experience building CI/CD with GitLab CI.
Hands-on experience with Vault/OpenBao, External Secrets.
Experience with Kafka and stateful services in Kubernetes.
What We Offer:
Participation in a large-scale migration of a digital financial product.
Work with a modern stack: AWS, Kubernetes/EKS, Terraform, CI/CD, Prometheus/Grafana.
Close collaboration with development, system analysts, QA, and engineers.
Opportunity to build a production-ready platform from scratch and hand it over to operations.
Terms and work format — discussed individually
Location: Remote
Workplace: Remote
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE TEAM
We're a small infrastructure team with a huge impact. We’re building the foundation for running all of the products and services at Rain. Our work is highly visible, our input is sought out, and we get to work on real problems that matter across the company and industry. We’re delivering the platform powering real financial products, the security architecture protecting them, and the delivery pipelines to deploy them.
WHAT YOU'LL DO
- Be a critical part of the technical infrastructure roadmap
- Manage our cloud environments across GCP and AWS
- Scale our infrastructure to millions of end users globally
- Help drive the architectural decisions of a rapidly evolving product
- Lead the creation and maintenance of our CI/CD pipelines to enable rapid, reliable deployments
- Collaborate with the engineering team to improve infrastructure performance
- Build infrastructure to interact with millions of smart contracts across dozens of blockchains
- Automate security controls and compliance processes to protect sensitive financial data
WHAT WE'RE LOOKING FOR
- 3 years of Google Cloud infrastructure work
- Ability to write shell scripts, Terraform, GitHub Action Workflows
- Containerized service deployment / Docker
- Strong experience with Infrastructure as Code, particularly Terraform, for managing cloud resources at scale
- Proven track record designing and implementing CI/CD pipelines and automation workflows
- Experience managing production environments in cloud providers
- Experience with monitoring, logging, and observability tools
BONUS ATTRIBUTES
- Kubernetes / GKE / Helm
- Cloud Networking / VPC / Firewall / LoadBalancer / SSL+mTLS
- Experience working with PCI / Zero-trust architectures
- Typescript/NodeJS/Golang developer or DevOps experience
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Belgrade, Serbia; St. Petersburg, Russia; Moscow, Russia
Workplace: remote
At
NOVACARD
, we’re redefining how people use credit.
We are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to
$200,000 MXN in credit
, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We’re looking for a
Site Reliability Engineer (SRE)
to ensure the stability, performance, and reliability of our critical production systems. You’ll work at the intersection of development and operations — building automation tools, improving observability, and preventing incidents before they occur.
Key Responsibilities:
Ensure the stability, performance, and fault tolerance of production systems.
Develop and maintain infrastructure automation and observability tools.
Monitor system health, respond to incidents, and perform root cause analysis (RCA).
Collaborate with development teams to improve scalability and reliability of services.
Define and manage
SLIs
,
SLOs
, and
Error Budgets
.
Lead incident response: organize recovery, document RCA, and run blameless post-mortems.
Configure and administer
Grafana
and
Zabbix
, design insightful dashboards, and fine-tune alerting.
Integrate and monitor external vendor systems, collaborating with vendor technical support when needed.
Key Requirements:
Fluent Russian,
English B1+
(comfortable with technical documentation).
3+ years of experience as an SRE, DevOps, or Infrastructure Engineer.
Strong understanding of observability principles (metrics, logs, traces).
Hands-on experience with Grafana and Zabbix (administration, configuration, alert optimization).
Experience working with AWS and CI/CD tools.
Practical knowledge of SLI/SLO/Error Budget frameworks.
Experience leading and documenting incidents and post-mortems.
Scripting skills for automation (Python, Bash, or Go).
Solid understanding of distributed systems and networking fundamentals.
Nice to Have:
Experience monitoring and supporting mobile applications.
Familiarity with Terraform, Prometheus, Loki, ELK, or similar tools.
Experience working with Kubernetes and containerized environments.
What We Offer:
Fully remote work format.
Official employment under the Russian Labor Code (for residents of Russia); contractor collaboration available for candidates from other countries.
Opportunity to work in an international team on a new digital product for the Mexican market.
A data-driven environment where your contributions have a real impact.
Location: Seoul, South Korea
Workplace: onsite
ABOUT YOU
We are looking for a Senior Full-Stack Engineer who is innovative, detail-oriented, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build end-to-end solutions, design scalable architectures, and drive performance and reliability across both frontend and backend systems.
Strong proficiency in React and modern frontend development practices, along with solid backend expertise in Go (or a similar language) is essential, along with experience in microservices architecture, distributed systems, and cloud-native environments using Docker and Kubernetes. The ability to own features from concept to production, troubleshoot complex system behaviors, and continuously optimize performance and resiliency will be key to your success in this role.
If you're passionate about building seamless full-stack experiences that power impactful products and love creating scalable solutions that support gaming, payment, and digital commerce ecosystems, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build, and maintain full-stack applications that power core products and platforms.
Develop responsive, high-performance user interfaces using React.
Build and maintain backend services using Go and event-driven architectures.
Build scalable microservices in containerized environments using Docker and Kubernetes.
Drive architecture decisions that improve performance, resiliency, and maintainability.
Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions.
Own your code in production, monitor, debug, and continuously improve application performance and reliability.
Write automated tests and follow CI/CD best practices to ensure high-quality deployments.
Participate in code reviews, technical discussions, and knowledge sharing across teams.
Participate in on-call rotation to support production systems and respond to incidents.
Qualifications & Skills
5+ years of full-stack development experience.
Strong proficiency in React and modern frontend development practices.
Solid backend experience in Go or a similar language.
Strong understanding of microservices architecture, distributed systems, and event-based communication.
Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker).
Solid understanding of observability, monitoring, and performance optimization.
Ability to troubleshoot production issues, analyze system behavior, and drive resolution.
Business-level proficiency in Korean and English is required.
Nice to Have
Experience with React Native for mobile development.
Background in gaming, payments, or commerce systems.
Experience in adtech or offer monetization platforms.
Hands-on experience with Kafka or equivalent streaming platforms.
Experience with Redis or other in-memory data stores.
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
Prior experience working on internal platforms or developer-facing tools.
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Personal Information Protection Act (PIPA), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Seoul, South Korea
Workplace: onsite
ABOUT YOU
We are looking for a Senior Backend Engineer who is detail-oriented, proactive, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and build scalable backend systems, drive architectural improvements, and deliver resilient, high-performance services in production environments.
Strong technical expertise in Go, distributed systems, and microservices architecture is essential, along with experience in building and operating cloud-native applications in containerized environments using Docker and Kubernetes. The ability to troubleshoot complex production issues, optimize system performance, and manage event-driven architectures using Kafka or similar streaming platforms will be key to your success in this role.
If you're passionate about building reliable, scalable systems that power high-impact products and love creating seamless infrastructure that enables innovative payment, gaming, or commerce experiences, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build, and maintain backend services that power core products and platforms.
Develop event-driven systems using Go and Kafka.
Build scalable microservices in containerized environments using Docker and Kubernetes.
Drive architecture decisions that improve performance, resiliency, and maintainability.
Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions.
Own your code in production, monitor, debug, and continuously improve service performance and reliability.
Write automated tests and follow CI/CD best practices to ensure high-quality deployments.
Participate in code reviews, technical discussions, and knowledge sharing across teams.
Participate in on-call rotation to support production systems and respond to incidents.
Qualifications & Skills
5+ years of backend development experience in Go or a similar language.
Strong understanding of microservices architecture, distributed systems, and event-based communication.
Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker).
Solid understanding of observability, monitoring, and performance optimization.
Ability to troubleshoot production issues, analyze system behavior, and drive resolution.
Business-level proficiency in Korean and English is required.
Nice to Have
Background in gaming, payments, or commerce systems.
Experience in adtech or offer monetization platforms.
Hands-on experience with Kafka or equivalent streaming platforms.
Experience with Redis or other in-memory data stores.
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
Prior experience working on internal platforms or developer-facing tools.
seniorSingapore
seniorLithuania
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Paris; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorUkraine
seniorBengaluru, Karnataka, India, APAC
УдалённоCanada; United States
seniorNew York
seniorPoland
География найма не уточнена
УдалённоPoland
УдалённоSt. Petersburg, Russia; Moscow, Russia; Belgrade, Serbia
УдалённоГеография найма не уточнена
УдалённоBelgrade, Serbia; St. Petersburg, Russia; Moscow, Russia; Official employment under the Russian Labor Code (for residents of Russia); contractor collaboration available for candidates from other countries
ОфисseniorSeoul, South Korea
ОфисseniorSeoul, South Korea
Все вакансии в одном месте - страница 8 · Job Hunters
