Location: AZ_Mesa_HQ
DevOps Engineer
Mixed-Cloud Platform & Release Engineering
Position Overview
We are seeking a skilled DevOps Engineer to help build, operate, and continuously improve the CI/CD pipelines and infrastructure that support our mobility products. This is a hands-on individual contributor role responsible for the reliability, security, and velocity of build and release automation across a hybrid environment that includes Amazon Web Services (AWS), Microsoft Azure, and on-premises data centers.
You will work alongside a team of DevOps engineers, SREs, and release engineers, partnering closely with Software Engineering, QE, Architecture, and Information Security to help hundreds of microservices ship safely multiple times per day. Success in this role is measured by your contributions to deployment frequency, change failure rate, mean time to recovery (MTTR), platform availability, and the security posture of the delivery pipeline.
Essential Responsibilities
CI/CD & Release Engineering
Build, maintain, and continuously improve CI/CD pipelines supporting hundreds of microservices and applications, including pipeline-as-code standards, build artifacts, container images, and deployment automation across Azure DevOps and GitHub Actions.
Contribute to measurable improvements in DORA metrics: deployment frequency, lead time for changes, change failure rate, and time to restore service.
Implement and maintain release patterns (blue/green, canary, feature flags), rollback procedures, and pre-production validation gates.
Partner with QE to embed automated testing — unit, integration, contract, performance, and security — into pipelines so that quality is enforced before production.
Hybrid Cloud & Infrastructure Operations
Build and operate infrastructure across AWS, Azure, and on-premises data centers, including compute, networking, storage, identity, and connectivity between environments (VPN, ExpressRoute, Direct Connect, peering, and transit).
Manage and support Kubernetes (EKS, AKS, and on-prem clusters), container registries, service meshes, ingress controllers, and supporting middleware.
Write and maintain Infrastructure-as-Code (IaC) using Terraform and platform-native tooling (CloudFormation, ARM/Bicep); participate in drift detection, peer review, and policy-as-code on all infrastructure changes.
Support capacity planning, cost optimization (FinOps), and rightsizing efforts across cloud and on-prem footprints.
Observability, Reliability & Incident Response
Build and maintain the observability stack — metrics, logs, traces, and synthetic monitoring — and help define SLOs, SLIs, and error budgets for critical services.
Participate in on-call rotations and act as an incident responder for production events, contributing to root-cause analysis and tracking corrective actions to completion.
Support chaos engineering exercises, game days, disaster recovery testing, and business continuity exercises to validate the resilience of hybrid systems.
Security & Compliance
Partner with Information Security to implement shift-left security practices: SAST, DAST, SCA, secrets scanning, container image scanning, and IaC policy scanning in every pipeline.
Manage secrets, certificates, and identity infrastructure across cloud and on-prem environments (AWS Secrets Manager, Azure Key Vault, IAM, RBAC).
Help maintain audit readiness for SOC 2, PCI-DSS, and other regulatory frameworks applicable to mobility and payments processing by producing evidence of pipeline controls, access management, and change governance.
Cross-Functional Collaboration
Partner with Software Engineering to ensure new services are built with pipeline, observability, and infrastructure templates from day one — not bolted on later.
Work with Architecture to align platform direction with the broader technology roadmap, including migrations between legacy and modern platforms.
Document runbooks, pipeline standards, and infrastructure patterns so that knowledge is shared across the team.
Respond to system issues, participate in high-priority incident calls, and support emergency activities outside of standard hours as needed.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience.
3+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles.
Hands-on experience operating production systems in at least one of the following: AWS, Azure, or on-premises data centers, with an interest in developing depth across a hybrid environment.
Experience with CI/CD platforms, specifically Azure DevOps and GitHub Actions (or comparable: Jenkins, GitLab CI, CircleCI), including writing and maintaining pipeline-as-code.
Working experience with Infrastructure-as-Code (Terraform preferred; CloudFormation, ARM/Bicep, Ansible, Puppet, or Chef a plus).
Experience with container orchestration (Kubernetes — EKS, AKS, or self-managed) and container build/registry workflows (Docker, ACR, ECR, Harbor).
Proficiency in scripting and automation in one or more of: Python, Bash, PowerShell, Go, or TypeScript/JavaScript.
Working knowledge of Git workflows, branching strategies, and code review practices.
Familiarity with observability tooling such as Datadog, New Relic, Splunk, Prometheus, Grafana, ELK, or Azure Monitor / CloudWatch.
Willingness to participate in on-call rotations and respond to production incidents.
Clear, concise written and verbal communication skills.
Preferred Qualifications
Experience in mobility, transportation, tolling, parking, or other regulated, high-volume transaction-processing environments.
Exposure to compliance regimes such as SOC 2, PCI-DSS, ISO 27001, or FedRAMP.
Hands-on experience with service mesh, API gateways, or zero-trust networking patterns.
Experience with FinOps practices and cloud cost management tooling (CloudHealth, Apptio, native cost explorers).
Experience migrating workloads between on-prem and cloud, or between cloud providers.
Relevant certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator / DevOps Engineer Associate, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate.
Familiarity with data and AI/ML platform operations (model registries, feature stores, ML pipelines).
What Success Looks Like in the First 9 Months
Within 90 days: ramped up on the team's CI/CD platform, infrastructure, and observability stack across AWS, Azure, and on-prem; owning at least one pipeline or service area independently.
Within 6 months: contributing measurable improvements to deployment frequency and change failure rate for owned pipelines; actively participating in the on-call rotation and incident response.
Within 9 months: recognized as a go-to contributor for at least one platform domain (CI/CD, cloud infrastructure, observability, or security); mentoring newer engineers and contributing to team standards.
Verra Mobility Values
An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values:
Own It.
We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation.
Do What’s Right.
We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous.
Choose Courage Over Comfort.
We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease.
Win Together.
We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others.
With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company.
Verra Mobility Applicant Privacy Notice
Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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Location: New York City
Workplace: Hybrid
About Pinecone
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.
ABOUT THE TEAM AND ROLE:
Pinecone is looking for a full-stack engineer to bring a new level of visibility, control, and trust to our product experiences. From cost metrics and spend alerts to interactive usage dashboards, we’re looking for a product-focused engineer who will deliver transparent and accurate insights to our customers.
As a member of the Experience Platform team, you’ll have direct ownership over the billing, management, and authentication interfaces that we need our customers to understand and trust. You understand the responsibility and care this type of work requires, while also moving quickly to match Pinecone’s rapid growth. You’ll do this by working closely with product, design, and other engineering teams to identify user and system needs and build the right thing, at the right abstraction level, at the right time.
RESPONSIBILITIES:
- Shape our product experience. Influence the rollout of products, propose and build new features, and advocate for experiences that will build confidence with our customers.
- Ship end-to-end experiences across API, SDK, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it.
- Own integrations with billing systems and vendor APIs, designing for resiliency against outages, schema drift, and inconsistent data.
- Create observable, auditable systems with monitoring, alerting, and verification mechanisms that give leadership and customers confidence in the numbers.
- Bring AI-assisted development practices to the team — use the best tools available and help establish patterns that let a small team move at a pace that shouldn't be possible.
- Partner with finance, product, and design to translate business requirements into scalable technical solutions, and push back when the abstraction level isn't right.
REQUIREMENTS:
Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, interfaces, observability, and our product experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. In exchange, we’ll make sure you’re set up for success with mentorship and technical guidance.
You should have:
- At least 2 years of software engineering experience
- A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease
- Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow
- Proven ability to design and deliver APIs for a rapidly scaling product surface
- Proficiency building web interfaces with React or similar
- Experience with at least one major cloud provider (AWS, GCP, Azure)
- Strong intuition for what makes APIs easy for both humans and agents to use correctly
Bonus points for:
- Experience at a SaaS company with usage-based or consumption pricing models
- Experience building billing-specific features, such as usage dashboards or cost reporting
- Strong familiarity with a compiled language like Rust, Go, or Java
- Experience integrating with third-party financial APIs and building defensively against inconsistent or delayed data
- Experience with queueing and streaming technologies such as Kafka, Kinesis, or Pub/Sub
Perks & Benefits:
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Location: United States
At Reltio®, an SAP company, we believe data should fuel success in the enterprise AI era. Our context intelligence solution turns fragmented data into trusted, connected context so AI agents and systems can act with expert-level judgment at the scale of your business. Our open-by-design SaaS solution harmonizes, unifies, and enriches structured and unstructured information, giving organizations 360-degree views of core data in milliseconds to any application, user, or AI agent. Trusted by the world’s largest enterprises across life sciences, financial services, healthcare, and technology, Reltio helps organizations fuel frictionless operations, drive innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
The Principal Enterprise Architect is a senior individual contributor within Solutions Consulting, providing technical leadership for Reltio’s most complex and strategically significant global sales engagements. This role fuses world-class enterprise architecture depth with visionary pre-sales leadership on Reltio's most critical, complex, and innovative engagements globally. Reporting into Presales, this individual partners exceptionally closely with Product Management, Field CTO’s, Engineering, and the Sales Account teams. This role operates as a two-way bridge between the field and the roadmap at a strategic level, carrying customer and competitive intelligence into product direction and bringing emerging platform capabilities into the market ahead of competitors.
Leveraging deep expertise in master data management, data unification, AI, and enterprise architecture, this individual engages C-suite executives like CDOs, Chief Architects, CIOs, and CTOs at the world's leading organizations to architect how Reltio, as part of SAP Business Data Cloud, transforms their most complex enterprise data landscapes. Beyond winning landmark deals, the Principal Enterprise Architect defines industry best practices, shapes Reltio's technology vision through their partnership with Product Management, and mentors the next generation of technical leaders within Reltio. They are an influential technical voice in the company, connecting what the field sees to what the solution becomes.
Job Duties and Responsibilities:
Strategic pre-sales and enterprise architecture
Serve as a principal technical advisor for Reltio’s most complex and strategically significant global sales opportunities, independently defining architectural approaches and resolving critical technical issues in partnership with account teams.
Define and maintain reusable enterprise reference architectures and integration blueprints, including SAP integration patterns and SAP Business Data Cloud alignment. Partner with Solutions Consulting, Product Management, and Engineering to drive their adoption and inform longer-term solution direction.
Co-create and evangelize transformative solution visions with C-level executives, demonstrating how Reltio unlocks unprecedented business value through advanced data unification, AI, and the Autonomous Enterprise.
Set the technical objectives, success criteria, and architectural approach for proof-of-value engagements with strategic (lighthouse) customers, resolving novel challenges where requirements or product capabilities are evolving and translating validated approaches into reusable field guidance.
Own the technical strategy and architectural narrative on landmark, multi-year, multi-million-dollar pursuits within a MEDDPICC-driven sales process.
Define success measures with Solutions Consulting and Product leadership and evaluate the impact of strategic architecture initiatives, including technical success in priority pursuits, adoption of reusable solution patterns, and validated customer insights that inform product decisions.
Product Management partnership (core to this role)
Establish a structured process with Product Management and Field CTOs to synthesize customer, competitive, and architectural insights into recommendations for product strategy and roadmap prioritization.
Partner with Product Management on the highest-stakes pursuits, co-developing solution approaches for capabilities that are emerging, in early release, or on the roadmap.
Validate and pressure-test pre-release and early-access capabilities in demanding deal contexts, feeding practical, architecture-grounded insight back to product and engineering.
Lead cross-functional resolution of strategic architectural issues spanning Solutions Consulting, Product Management, and Engineering, securing alignment on recommendations that support long-term customer and business objectives that drive Reltio's long-term technology vision and market leadership.
Steward strategic design-partner and co-innovation relationships between marquee customers and Product Management.
Industry leadership, enablement, and influence
Define and champion innovative solution patterns, reference architectures, and best practices that set the standard across the Solutions Consulting organization and the broader industry.
Develop the architectural capabilities of senior Solutions Consulting ICs, including Principal Solutions Consultants, through mentorship, design reviews, and reusable guidance to strengthen technical excellence across the organization.
Represent Reltio as a leading industry expert and thought leader at prominent conferences, executive councils, with industry analysts, and in critical publications and speaking engagements.
Influence market perception and competitive positioning through deep technical insight and strategic communication.
Build and nurture strategic technical alliances and partnerships that extend Reltio's reach and capabilities.
Skills You Must Have:
Minimum 15 years of pre-sales, solution architecture, or enterprise architecture experience in enterprise software, with an extensive, demonstrable track record on highly complex, strategic data unification, AI, and platform engagements;
Bachelor's degree in Computer Science, Engineering, or experience in a deeply related technical field.
Recognized as a leading expert in enterprise data architecture, master data management, cloud-native technologies, and advanced AI/ML applications, with the credibility to advise Chief Architects and CDOs.
Proven ability to design and defend end-to-end solution architectures within the most complex, heterogeneous enterprise environments.
Exceptional ability to engage, influence, and build trusted advisor relationships with CEOs, CIOs, CDOs, and other C-suite executives at Fortune 500 companies.
Proven experience shaping and winning landmark, multi-year, multi-million-dollar enterprise software deals on a global scale.
Deep experience working directly with Product Management, translating field and customer insight into product direction and bringing roadmap awareness into strategic engagements.
Deep expertise in enterprise data platforms, master data management, and data unification, with the ability to develop expert-level command of Reltio’s platform and architecture.
Ability to evaluate emerging technology trends and translate them into practical recommendations for customer architecture, product direction, and field strategy.
Superior communication, presentation, and storytelling skills, capable of inspiring diverse, high-level audiences.
Demonstrated ability to lead complex technical initiatives through influence, align cross-functional teams, and mentor senior technical professionals without direct reporting authority.
Demonstrated experience advising senior customer leaders on enterprise data strategy and long-term transformation roadmaps.
Skills That Are Nice to Have:
Ph.D. or Master's degree in Computer Science, AI, Data Science, or a related advanced technical field.
Hands-on architectural expertise and at least one certification with a major cloud platform (AWS, GCP, Azure).
Familiarity with the SAP ecosystem and SAP Business Data Cloud, and with integrating third-party platforms into SAP landscapes.
Prior experience in a product-facing, field-CTO, or design-partner role that formalized the presales–product feedback loop.
A frequent event speaker or author of content in data unification, AI, distributed systems, or enterprise architecture.
Proven ability to invent and prototype novel solutions to previously unsolved business or technical challenges.
Ability to build productive relationships with industry experts, technology partners, and customer architecture leaders.
At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
Overall Market Range
$230,000
—
$310,000 USD
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: Europe; France; United Kingdom; Spain; Germany; The Netherlands
Workplace: Remote
The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and its diverse use cases. As part of that growth, we want to ensure our hands-on training experience is best in class.
We are looking for someone to accelerate the way we build technical content and to bring AI-powered tools and agents directly into the learning experience for our students. You will own the infrastructure that powers releases, certification exams, hands-on courses, and learning environments. You will also lead GenAI initiatives to create content more effectively and to build a broader AI-powered user experience.
A TYPICAL DAY AS A CLICKHOUSE TECHNICAL CURRICULUM DEVELOPER, PLATFORM:
- Manage the infrastructure that supports our Content as Code
- New content PRs are thoroughly tested and easy to preview
- Merged PRs are automatically released
- Courses are periodically checked to ensure they are working properly
- Courses are easily updated with new features
- Lead the Learning team’s adoption of AI and GenAI:
- build tools, prompts, and workflows to go from topic to course faster
- Design and build AI-powered agents and tools for students
- Evaluate new AI/GenAI capabilities and models as they emerge
- Write and maintain provisioning and grading scripts for hands-on certification exams
- Debugging issues that affect learners, instructors, and exam candidates
- Building and running observability for everything learning: usage, failures, catalog health, dashboards, and alerts
- Building and running analytics for user activity across all learning tools
- Design and maintain hands-on lab environments across all training formats
REQUIREMENTS:
- 5+ years of experience with technical curriculum development on databases and/or distributed systems
- 3+ years of experience in a technical education infrastructure or DevOps role (e.g. building and operating lab or sandbox environments)
- Experience with machine learning applications and/or GenAI focused on content generation, developer tooling, and AI agents
- 3+ years of experience building certification infrastructure including grading scripts for hands-on assessments
- Strong scripting and automation skills, including experience with infrastructure as code, CI/CD pipelines, and GitHub
- A self-motivated attitude that provides you with the desire and determination to complete projects in a fast-paced startup environment
- Ability to learn new technologies quickly and effectively
- Excellent communication skills, including the ability to write clear runbooks and technical documentation
- You have a high level of responsibility, ownership, and accountability
BONUS POINTS:
- Experience with SQL
- Experience with ClickHouse database
- Experience with one or more Cloud Service Providers such as AWS, GCP, or Azure
- Ability to work cross-functionally amongst engineering, support, product, and development teams
- Technical degree (e.g., Computer Science or related field)
YOU'LL LOVE THIS ROLE IF:
- You thrive working at the intersection of engineering, AI, and education, building systems that directly impact how people learn
- You are self-driven, curious, and eager to continuously learn and grow
- You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Workplace: remote
Requirements
Strong experience designing Databricks Lakehouse architectures, including Spark, SQL, Delta Lake, Unity Catalog, and workflow orchestration concepts
Proven experience architecting enterprise data platforms, preferably in financial services or Wealth Management environments
Strong practical understanding of Data Vault 2.0 architecture
Experience defining integration architecture for enterprise data landscapes with multiple source systems and consumption channels
Experience designing governance and security models (Unity Catalog, RBAC/ABAC, row/column-level security, PII protection, and compliance)
Nice to have
Experience in Wealth Management, Private Banking, Asset Management, Investment Management, Capital Markets, or broader financial services
Experience with Databricks Lakeflow Connect, Lakeflow Spark Declarative Pipelines, and Lakeflow Jobs
Experience designing platforms that support regulatory, audit, compliance, risk, and financial reporting requirements
Experience with MDM concepts
Experience with cloud infrastructure on AWS, Azure, or GCP
Experience with AI/RAG, semantic search, Vector Search, embeddings, metadata filtering, source-grounded generation, or LLM-based data enrichment is a plus, but not a core requirement
dbt experience
Responsibilities
Own the target-state architecture for a Databricks-based data platform
Define platform architecture, integration patterns, data flows, architectural principles, and delivery guardrails for the engineering teams
Design scalable data ingestion, transformation, orchestration, and publication patterns using Databricks, Spark, SQL, Delta Lake, Unity Catalog, and Lakeflow where appropriate
Lead the Data Vault architecture, including raw vault, business vault, hubs, links, satellites, historization patterns, PIT tables, bridge tables, and downstream consumption layers
Define canonical data models for core Wealth Management entities such as clients, households, advisors, accounts, portfolios, holdings, transactions, products, instruments, mandates, risk profiles, fees, suitability, and regulatory classifications
Design integration patterns across heterogeneous source systems, including CRM, portfolio management platforms, trading systems, custodians, market data providers, risk systems, reporting platforms, and compliance tools
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Dina
hh@itransition.com
Location: USA
Workplace: Remote
Remote, worldwide · Freelance course project with a path to full-time
We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera.
We’re looking for a machine learning practitioner who loves teaching to create and present ML courses for engineers, from foundations to training their own models.
This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight, Coursera or YouTube, written a book, taught at a university or bootcamp, or regularly run workshops and talks.
How it works
- It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months.
- The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects.
- A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course.
- Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team.
What you’ll do
- Shape the course with the curriculum team: sections, lessons, labs and notebooks.
- Write lab specs that a dedicated labs team builds, then test them.
- Write and narrate short, story-driven video lessons (about 6 minutes each) that make ML intuitive. You’re welcome to use AI to draft, but the final script should sound like you.
- Record demo and lab-solution walkthroughs.
- Work through structured editorial feedback, especially on your first section.
Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching.
What we’re looking for
- Strong, hands-on ML foundations: you’ve trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow).
- The ability to explain the “why” behind ML clearly to engineers new to it.
- Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera.
- A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it.
- Current with the field and keen to keep learning.
- Clear, engaging spoken English and confidence on camera.
- Openness to an established teaching methodology and to editorial feedback.
Nice to have
- Published online courses, a book, or university/bootcamp teaching experience.
- Experience with fine-tuning, MLOps or deploying models in production.
- Cloud ML certifications (AWS, Azure, GCP, Databricks).
How to apply
Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.
▫️Проектирование архитектуры Azure Data Platform с использованием Azure Data Factory, Azure Databricks, ADLS Gen2 и Azure DevOps. ▫️Разработка архитектурных принципов, стандартов и шаблонов проектирования.
Alliance strategy and governance: Develop multi-year partner plans with shared goals, milestones, and KPIs.
УдалённоСША; We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours
You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.
Scala Engineer is responsible for building and optimizing high-performance backend systems that power the data-driven applications. In this role, you will work with modern streaming technologies, distributed processing frameworks, and cloud-native architectures to deliver scalable, reliable, and high-availability solutions.
Location: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country
We are looking for a Senior AI Lead who will act as the primary AI consultant within the organization and help shape the vision, roadmap, and execution of AI initiatives. You will work across stakeholders and delivery teams to guide responsible AI adoption and establish a sustainable AI practice.
The AI Practice is focused on building a sustainable AI capability within an enterprise environment and connecting AI initiatives to measurable business impact. It covers strategy, roadmap planning, solution delivery, governance, and adoption enablement across business units.
Serve as the primary AI consultant within the organization to identify opportunities for AI driven innovation
Develop and drive the AI strategy aligned with business goals
Lead the assessment prioritization and roadmap planning of AI initiatives across business units
Collaborate with product owners data scientists engineers and business stakeholders to scope design and deliver AI solutions
Provide guidance on AI technologies frameworks and architectures including LLMs RAG AI agents prompt engineering and MLOps pipelines
Ensure AI projects align with business objectives maintain technical quality and follow ethical AI principles
Mentor AI team members to build internal capabilities and support knowledge sharing
Track AI trends tools and emerging technologies to support continuous improvement and innovation
Manage stakeholder expectations and communicate roadmap progress benefits risks and delivery outcomes
Champion AI adoption through workshops demos and enablement sessions
Define and track KPIs adoption metrics and ROI frameworks for AI initiatives
Establish AI governance frameworks usage policies and guardrails for responsible AI adoption
Guide the evolution toward an Agentic SDLC model across software development workflows
Drive change management activities to support AI augmented and agent orchestrated ways of working
7+ years of experience in AI consulting solution architecture or related roles with leadership responsibilities
Experience with AI and ML technologies including LLMs NLP computer vision conversational AI RAG architectures and MLOps
Experience driving AI initiatives from ideation through design and implementation in enterprise environments
Experience working with clients and executive leadership to translate business needs into AI solutions
Hands on collaboration experience with development teams and data scientists across the AI and ML toolchain including Python PyTorch TensorFlow Jupyter Git and CI/CD pipelines
Understanding of AI ethics data privacy and responsible AI principles
Experience designing and delivering AI training enablement programs or internal advocacy initiatives that drive measurable adoption
Familiarity with AI governance frameworks and organizational policy development for responsible AI use
Understanding of Agentic SDLC methodologies and AI native delivery practices
Advanced degree in Computer Science AI Data Science or a related field or equivalent professional experience
Experience with cloud AI platforms such as AWS SageMaker Bedrock and Amazon Q Developer
Experience with cloud AI platforms such as Azure OpenAI Service Azure AI Studio and Cognitive Services
Experience with cloud AI platforms such as Google Cloud Vertex AI Gemini API and Document AI
Experience with AI lifecycle management and MLOps platforms such as MLflow Kubeflow Weights & Biases and SageMaker Pipelines
Experience with AI orchestration and agent frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel and Haystack
Familiarity with vector databases and retrieval infrastructure such as Pinecone Weaviate Chroma Qdrant pgvector and Elasticsearch with kNN
Location: Bengaluru, India
We are looking for a Senior Backend Developer to design and develop enterprise grade backend solutions using C# and .NET. You will contribute to scalable microservices, distributed systems, cloud native services, and cross functional engineering collaboration.
This project is centered on developing resilient backend services for a distributed platform with microservices, REST integrations, and event driven architecture. It supports scalable enterprise solutions across multiple functional domains and cloud environments.
Design and develop enterprise grade backend services using C# and .NET, .NET Core
Design and implement scalable microservices within service oriented platforms
Develop services supporting multi source data aggregation, policy and rules enforcement, and extensible functional domains
Apply microservice architecture principles including API First Design, Domain Driven Design, and bounded contexts
Design and implement synchronous REST based integrations with internal and external systems
Develop and support asynchronous and event driven integration patterns
Design efficient data models using relational SQL and NoSQL databases
Optimize database performance and manage data consistency across distributed systems
Build resilient, scalable, and maintainable cloud native solutions using Microsoft Azure
Implement appropriate resiliency, fault tolerance, configuration management, and distributed system patterns
Collaborate with Architects, Product Managers, Business Analysts, QA Engineers, and other Developers throughout the delivery lifecycle
Contribute to technical design discussions, architecture decisions, code reviews, and engineering standards
Develop and maintain unit tests to ensure code quality, reliability, and maintainability
Troubleshoot complex application, integration, performance, and production issues
Work effectively with globally distributed teams and participate in coordinated meetings across time zones when required
10+ years of backend software development experience with strong hands on expertise in C# and .NET, .NET Core
Strong experience designing and developing enterprise grade microservices
Strong understanding of microservice architecture patterns including API First Design, Domain Driven Design, and bounded contexts
Experience designing and consuming REST APIs and implementing synchronous system integrations
Experience working with asynchronous and event driven architectures
Strong hands on experience with relational SQL databases and NoSQL databases
Experience with data modelling, database performance optimization, and data consistency within distributed systems
Hands on experience with Microsoft Azure and Azure native services
Strong understanding of cloud configuration management, resiliency patterns, scalability, and distributed system design
Experience designing maintainable, highly available, and scalable backend solutions
Strong understanding of software engineering principles, coding standards, and unit testing
Ability to analyze complex technical requirements and translate them into effective backend solutions
Strong problem solving and troubleshooting skills
Ability to communicate clearly in English and collaborate effectively with technical and non technical stakeholders
Experience working with geographically distributed development teams
Experience in the travel technology domain
Knowledge of Global Distribution Systems
Experience integrating with GDS platforms or travel suppliers
Exposure to booking platforms, travel APIs, reservation systems, or travel content aggregation
Understanding of the broader travel ecosystem and supplier integration landscape
Experience working on large scale enterprise or distributed platforms
Experience with multi source data aggregation and policy or rules based processing
Experience supporting cloud native transformation or modernization programs
Location: Warsaw, Poland; Pakistan; Bulgaria
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform.
What You Will Do
Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team.
Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices.
Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience.
Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience.
Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality.
Investigate and promptly address bugs to uphold platform reliability.
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations.
Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative.
Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows.
Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives.
What We Need
Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications.
Minimum 2 years in a lead/manager role, able to guide and ensure development of teams
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
International Environment
Competitive remuneration package
15 Days Annual Leave
Annual Performance Bonus
Stock Options after 6 months
Company activities and events
CoverGo Company
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: United States
Position overview
SingleStore is seeking a Principal Cloud Network & Reliability Engineer to lead the architecture, reliability, and automation of the network foundations supporting our engineering organization.
This is a senior hands-on technical role spanning cloud networking, site reliability engineering, infrastructure automation, and platform architecture across AWS, GCP, Azure, and internal infrastructure.
The ideal candidate combines deep networking expertise with strong software and infrastructure engineering skills. They should be comfortable operating across organizational boundaries, driving technical decisions, improving reliability, and identifying adjacent problems that need ownership rather than limiting themselves strictly to a predefined scope.
This role also provides senior technical coverage during U.S. business hours and acts as a key architecture partner to Platform Engineering, Systems Engineering, IT, InfoSec, and product engineering teams.
What you’ll do:
Define cloud networking architecture and standards across AWS, GCP, Azure, and internal infrastructure.
Design and evolve routing, segmentation, firewalls, NAT, ingress/egress, DNS, VPN, private connectivity, and cloud-to-data-center networking.
Lead technical direction for private-access technologies such as Tailscale, Headscale, WireGuard, bastions, and related access patterns.
Establish SLOs, monitoring, alerting, recovery procedures, and operational standards for critical network services.
Lead diagnosis and mitigation of significant networking, connectivity, and infrastructure incidents, and drive permanent remediation.
Develop and maintain infrastructure using Terraform, OpenTofu, Terragrunt, Python, Go, or comparable technologies.
Build reusable infrastructure patterns and automation that enable safe self-service for platform and engineering teams.
Improve infrastructure change safety through automated validation, required review, observability, change logging, and rollback practices.
Partner with Cloud Platform, Developer Platform, Systems Engineering, IT, InfoSec, and SRE teams on architecture that crosses networking, infrastructure, identity, security, and reliability domains.
Serve as a senior technical escalation point during U.S. business hours.
Create architecture standards, decision records, runbooks, and operational practices that reduce dependency on individual subject-matter experts.
Mentor engineers and raise networking, infrastructure, and reliability expertise across the organization.
Identify architectural and operational gaps beyond the immediate networking domain and help drive them to resolution.
Your Experience:
Minimum 10+ Years of experience required.
Deep experience designing and operating complex production cloud networks in at least one major cloud provider, with meaningful experience in a second.
Strong knowledge of routing, subnetting, segmentation, firewalls, NAT, DNS, VPN, ingress/egress, and private connectivity.
Demonstrated experience troubleshooting complex production network and infrastructure failures.
Strong hands-on experience with Terraform, OpenTofu, Terragrunt, or comparable infrastructure-as-code technologies.
Experience building infrastructure automation using Python, Go, or a comparable programming language.
Strong SRE experience including observability, incident response, root-cause analysis, recovery engineering, and reliability improvement.
Experience operating Kubernetes or adjacent cloud-platform infrastructure.
Experience designing safe infrastructure change and deployment practices.
Ability to lead architecture decisions across multiple engineering organizations without formal authority.
Strong written and verbal communication skills, including architecture documents, standards, runbooks, and incident reviews.
Demonstrated ability to mentor engineers, distribute technical knowledge, and influence technical direction at Principal level.
Preferred Qualifications:
Experience across AWS, GCP, and Azure.
AWS Transit Gateway, Cloud WAN, Direct Connect, PrivateLink, Route 53, or equivalent cloud-network technologies.
GCP Cloud Router, Interconnect, Shared VPC, Private Service Connect, or equivalent technologies.
Azure Virtual WAN, ExpressRoute, Private Link, or equivalent technologies.
BGP and hybrid cloud/data-center networking.
Tailscale, Headscale, WireGuard, or comparable private-access technologies.
NetBox or other IPAM/DCIM platforms.
Kubernetes CNI or advanced Kubernetes networking experience.
Grafana, Prometheus, Mimir, Loki, CloudWatch, PagerDuty, Pingdom, or comparable observability tools.
Experience with IAM and identity technologies such as Okta, Keycloak, FreeIPA, OIDC, SAML, SCIM, JIT access, certificates, secrets management, or privileged-access systems.
Experience building policy-as-code, infrastructure guardrails, or automated deployment controls.
Experience in large multi-account, multi-project, hybrid-cloud, or enterprise-scale infrastructure environments.
About us:
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
T
o all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
Req ID: ENG00523
ГибридNew York City
United States
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