Come Build With Us

We're looking to add a backend engineer to our team. You'll have an opportunity to have a big impact at this early stage, not only on the core product but also on the culture and direction of the company. We're looking for someone who's comfortable going outside their comfort zone and wearing many different hats. Strong experience building web applications is essential; if you've built them from scratch, that's even better.

What You'll Do

• Design, architect, and build Standard Metrics’ core product as a member of the engineering team
• Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and bug fixes (we do not have a QA team)
• Collaborate with the product team in scoping and defining the features that will best help the company achieve the outcomes aligned with our goals and the values we believe in
• Be an active contributor to the company culture and future hiring efforts

What You'll Bring

• 3+ years of backend development experience
• Expertise in Python (with Django framework experience preferred) 
• Strong record of building and delivering web applications
• Expertise in modern infrastructure (Kubernetes, Terraform, AWS, CircleCI, etc.) preferred, but not required
• Understanding and adherence to modern software development practices (Gitflow, continuous integration, peer reviews, etc.)

For our employees located in the USA, we aim to pay at or above the market rate of US-based tech hubs like San Francisco or NYC. For international roles, we aim to pay top of market for your country. The estimated annual salary for this role is between $150,000-$190,000, plus a competitive equity package. Actual compensation will be determined based on experience and qualifications.

eko is an innovative e-commerce startup dedicated to empowering brands to create, display, and optimize their video assets across digital platforms.

Thanks to our groundbreaking partnership with major retailers and our ability to demonstrably increase e-commerce sales, we recently opened a new facility focused on processing, capturing, and delivering data & media for millions of unique products annually.

Our first-of-its-kind facility opened in Northwest Arkansas in the summer of 2025 and is rapidly scaling to support high-volume, high-quality product media capture at unprecedented speed and scale. Want to learn more about eko? Visit eko.com

As you know, timing is everything. This is your chance to join Eko at a pivotal moment as we enter our scale phase. With hundreds of customers and millions of users over the years, you'll have the opportunity to make a significant impact on our success and grow alongside us. It will surely be exhilarating!

So let’s talk about some tech 

Eko's core technology combines an advanced visual capture infrastructure, cloud-based automated post-production processes, a scalable streaming platform, and proprietary application layers that utilize GPU shader video rendering and animations. Our platform includes modern full-stack development and integrations to the world's e-commerce, catering to the scale and standardization demanded by the world's largest enterprise brand.

What does it mean to be a DevOps at eko?

Being a DevOps Engineer at Eko means connecting with the business at large, rather than focusing solely on a specific niche. You'll collaborate with various departments, and the infrastructure and delivery pipelines you contribute to will reach millions of end-users.

We value expanding skill sets, discovering new areas of excellence, and pursuing passions over rigid job titles.

Your true potential 

CVs and resumes can’t capture the full essence of who you are as a developer. We believe in looking beyond project bullet points and tech stacks to understand the person behind them. We prioritize how you think and solve problems over specific programming languages and their quirks.

Our ideal candidates are curious, creative thinkers, and continuous learners with a passion for technology. If you thrive on learning by doing, love taking on exciting challenges, and enjoy exploring new territories, then Eko is the place for you.

WHAT WILL YOU DO…

• Lead features end-to-end with full ownership and accountability, from design through deployment.
• Establish monitoring and observability practices that provide real-time visibility into complex workflows and distributed systems.
• Design and build infrastructure for large-scale usage.
• Shape how we rapidly build and release code to production for millions of viewers.

OUR DREAM CANDIDATE…

• 3-5 years of experience as Devops Engineer
• Proven experience building and maintaining high-scale, high-availability production systems for enterprise environments, with a track record of handling mission-critical systems.
• Deep understanding of cloud computing (AWS or GCP).
• Strong hands-on experience with container orchestration using Docker and Kubernetes, including deploying and managing containerized workloads in production.
• Advanced knowledge in JavaScript
• Advanced networking knowledge, including load balancing and firewall configuration.
• Strong background in monitoring, logging, and alerting systems (New Relic, Datadog, Mezmo, Kibana), with experience implementing observability practices for distributed systems.
• Fluency in infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
• Proficiency in scripting languages (Bash, Python, or Go) for automation and system management.

Not a must, but we’ll value any experience with these tools we’re already using:

• Familiarity with messaging queues and event-driven architecture (e.g., Kafka, RabbitMQ, Kinesis)
• Proven experience in security best practices and vulnerability management.
• Experience with SQL and modern data stack tools (e.g., MySQL, Postgres, Snowflake, dbt).
• Experience in software development is a strong advantage.
• Degree in Computer Science (not a must; we’re always looking for super-talented people).

Benefits: 

• Stock option plan
• Hybrid model 
• Dog friendly 
• Fitness training 

At Eko, we're hiring people, not just skills. If you possess some of the qualities we're looking for but not all, and still feel you're a great fit, we encourage you to apply. At eko, we believe in a creative approach to everything, no matter what role we’re in. We believe in meaningful choice, both at work and in life, and know our workplace only gets better when people can bring their whole selves to the office. We have offices in NYC and TLV, and an AI-powered Robotic Capture Factory in Bentonville. We’re software developers and spray paint artists, poets and band jammers, fantasy sports fans and financial whizzes, chess-heads and UXperts, pop culture nerds and product managers, data wizards and yoga instructors. We’re passionate about art, entertainment, technology, and everything in between. It’s our unique mix of talents and passions that puts us at the forefront of interactive video. We have as many stories as we do people, and we can’t wait to hear yours.

This role is located in Somerville, MA. - We are a hybrid work environment and are in the office 3+ days/per week. To be considered for this role, candidates must have United States Citizenship due to the nature of the assignments. If you do not have U.S. Citizenship, you will not be considered for the position.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."

About You

You're a senior infrastructure engineer who believes that the best system is one that runs itself. You thrive on building automation that eliminates toil, designing for resilience at global scale, and owning the full lifecycle of cloud infrastructure — from architecture to observability. You bring a bias for action and a continuous improvement mindset to everything you do: if something can be automated, you'll automate it; if a system is fragile, you'll make it robust. You're equally comfortable diving deep into a production incident and partnering with developers to make their lives easier.  You enjoy coaching and mentoring fellow DevOps Engineers on technical best practices, tooling, and operational patterns, helping raise the collective capabilities of the team.

What Skills Do I Need?

• 5-7+ years of hands-on DevOps or Infrastructure Engineering experience, with demonstrated ownership of production cloud environments at scale
• Proficiency with modern cloud infrastructure tooling — experience with Kubernetes, Helm, Terraform, Ansible, and major cloud providers (AWS and/or Azure) is highly relevant
• Experience managing enterprise-grade data persistence layers, including NoSQL and SQL databases, key/value stores, and messaging systems (e.g., AMQP, MQTT)
• Familiarity with observability and monitoring tooling (e.g., Prometheus, Mimir, Thanos, Grafana) and a strong understanding of what good SRE practice looks like in a fast-growing SaaS environment
• Exposure to modern programming or scripting languages used in infrastructure contexts (e.g., Go, TypeScript, Python, Bash)
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Key Responsibilities

• Own the deployment, health, and continuous improvement of Tulip's multi-cloud, multi-region SaaS environments — including clusters spanning the US, Europe, and Asia
• Design and evolve cloud architecture to ensure customer availability, stability, and performance as Tulip scales globally
• Own and continuously improve Tulip's CI/CD infrastructure, driving toward a fully automated, human-interaction-free software delivery lifecycle
• Build automation tooling and internal systems that reduce operational toil and increase developer velocity — if it can be automated, automate it
• Define and maintain observability standards across Tulip's cloud environments, including metrics, alerting, logging, and distributed tracing
• Proactively identify performance degradation and capacity risks before they impact customers; lead incident response and drive root cause analysis
• Serve as a close partner to application engineering teams throughout the software development lifecycle, providing infrastructure guidance and support
• Participate in the on-call rotation and contribute to a culture of continuous improvement through documentation, runbooks, and process iteration

Key Collaborators

• Application Engineering teams
• Edge & Hardware teams
• QA team
• Product Management
• Customer Support 

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
• Flexible work schedule and unlimited vacation policy
• Virtual company events and happy hours
• Fitness subsidies

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $150,000 - $190,000 per year.

Your Impact

As a contributor in the SRE organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter. You are also obsessed about achieving the high quality and reliability our customers demand. You will work closely not only with the SRE organization, but your technical deliverables will reach the entire engineering organization to enable product teams to continuously deliver features on the vanguard of innovation.

Location: Remote in Canada

What You'll Do

• Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, securely, and cost-effective.
• Exemplify cloud-native site reliability best practices.
• Write code that is performant, maintainable, clear, and concise.
• Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems.
• Influence and educate the engineering organization to adopt new and improved architectural patterns.
• Provide robust documentation for use by engineers to promote self-service.
• Take calculated risks, champion new ideas, and cultivate your craft.

What You Bring 

• 5+ years of applicable experience
• Experience managing cloud platforms such as Azure, AWS, or similar.
• Experience using managed languages such as Python, Go, C#, Java, or similar.
• Experience operating in Kubernetes platforms like AKS, EKS, or similar.
• Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.
• Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.
• Experience using Infrastructure as Code tools for provisioning infrastructure such as Terraform, AWS CloudFormation, or similar.
• Builder-operator mindset with proven production ownership (uptime, SLOs, on-call, incident leadership).
• Empathy to support the needs of software engineers.

Your Impact

As a senior contributor in the APX SRE organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter—and you’re relentless about the high quality, reliability, and security our customers demand. You will work closely not only with the APX SRE organization, but your technical deliverables will reach the entire engineering organization to enable product teams to continuously deliver features on the vanguard of innovation.

In this role, you’ll have a meaningful impact in Identity and Security, helping teams build and operate systems that protect user identity, strengthen authentication/authorization flows, and meet compliance expectations. You’ll partner closely with engineering, security, and identity stakeholders to raise the bar on secure-by-default reliability practices across the organization.

Location: Remote—anywhere in Canada

What You’ll Do

• Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, securely, and with high test confidence.
• Exemplify cloud-native site reliability best practices with a strong emphasis on testability, automation, and resilience in distributed systems.
• Design and implement test strategies and frameworks that validate reliability, performance, and security requirements (e.g., integration, end-to-end, chaos/resiliency, and regression suites).
• Write code that is performant, maintainable, clear, and concise.
• Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems using logs, metrics, traces, and automated diagnostics.
• Contribute to platform features and tooling by designing clear, well-tested APIs in Go or Python.
• Partner with Identity and Security teams to support and strengthen user identity lifecycle and access controls, authentication and authorization patterns, Okta integrations (e.g., SSO, OIDC/SAML flows, group/role mapping, policy enforcement), and compliance-aligned controls and security best practices.
• Help ensure systems meet operational and regulatory expectations through secure engineering practices (least privilege, secrets management, auditability, change control, and secure SDLC).
• Author design docs, test plans, threat-aware test cases, and usage guides to promote self-service.
• Take calculated risks, champion new ideas, and cultivate your craft.

What You Bring

• 6+ years of applicable software engineering or SRE experience
• 3+ years experience managing cloud platforms such as Azure, AWS, or similar.
• Experience operating in Kubernetes platforms like AKS, EKS, or similar.
• Experience using managed languages such as Python, Go, C#, Java, or similar with demonstrable API and unit/integration testing experience.
• Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, releases, and automated test pipelines.
• Experience using observability tools such as APM, logging, and metrics to assist with debugging issues and reliability improvements.
• Experience designing tooling to simplify the operational management of SaaS/PaaS systems, including test automation and validation tooling.
• Familiarity with building flexible and testable Infrastructure as Code modules.
• Experience or strong working knowledge of identity and access management (IAM) concepts and secure authentication/authorization patterns.
• Experience integrating with or supporting Okta (or similar IdP) and identity standards like OIDC/SAML is a strong asset.
• Empathy to support the needs of software engineers.
• Ability to obtain RCMP Enhanced Reliability Status and Secret clearance.

To be considered for this role, candidates must have United States Citizenship due to the nature of the assignments. If you do not have U.S. Citizenship, you will not be considered for the position.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."

About You

You're a senior infrastructure engineer who believes that the best system is one that runs itself. You thrive on building automation that eliminates toil, designing for resilience at global scale, and owning the full lifecycle of cloud infrastructure — from architecture to observability. You bring a bias for action and a continuous improvement mindset to everything you do: if something can be automated, you'll automate it; if a system is fragile, you'll make it robust. You're equally comfortable diving deep into a production incident and partnering with developers to make their lives easier.

What Skills Do I Need?

• 5-7+ years of hands-on DevOps or Infrastructure Engineering experience, with demonstrated ownership of production cloud environments at scale
• Proficiency with modern cloud infrastructure tooling — experience with Kubernetes, Helm, Terraform, Ansible, and major cloud providers (AWS and/or Azure) is highly relevant
• Experience managing enterprise-grade data persistence layers, including NoSQL and SQL databases, key/value stores, and messaging systems (e.g., AMQP, MQTT)
• Familiarity with observability and monitoring tooling (e.g., Prometheus, Mimir, Thanos, Grafana) and a strong understanding of what good SRE practice looks like in a fast-growing SaaS environment
• Exposure to modern programming or scripting languages used in infrastructure contexts (e.g., Go, TypeScript, Python, Bash)
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Must be able to work Eastern Time Zone (Boston) Hours

Key Responsibilities

• Own the deployment, health, and continuous improvement of Tulip's multi-cloud, multi-region SaaS environments — including clusters spanning the US, Europe, and Asia
• Design and evolve cloud architecture to ensure customer availability, stability, and performance as Tulip scales globally
• Own and continuously improve Tulip's CI/CD infrastructure, driving toward a fully automated, human-interaction-free software delivery lifecycle
• Build automation tooling and internal systems that reduce operational toil and increase developer velocity — if it can be automated, automate it
• Define and maintain observability standards across Tulip's cloud environments, including metrics, alerting, logging, and distributed tracing
• Proactively identify performance degradation and capacity risks before they impact customers; lead incident response and drive root cause analysis
• Serve as a close partner to application engineering teams throughout the software development lifecycle, providing infrastructure guidance and support
• Participate in the on-call rotation and contribute to a culture of continuous improvement through documentation, runbooks, and process iteration

Key Collaborators

• Application Engineering teams
• Edge & Hardware teams
• QA team
• Product Management
• Customer Support 

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
• Flexible work schedule and unlimited vacation policy
• Virtual company events and happy hours
• Fitness subsidies

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $130,000 - $190,000 per year.

This role is located in Somerville, MA. - We are a hybrid work environment and are in the office 3+ days/per week.

To be considered for this role, candidates must have United States Citizenship due to the nature of the assignments. If you do not have U.S. Citizenship, you will not be considered for the position.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."

About You

You're a senior infrastructure engineer who believes that the best system is one that runs itself. You thrive on building automation that eliminates toil, designing for resilience at global scale, and owning the full lifecycle of cloud infrastructure — from architecture to observability. You bring a bias for action and a continuous improvement mindset to everything you do: if something can be automated, you'll automate it; if a system is fragile, you'll make it robust. You're equally comfortable diving deep into a production incident and partnering with developers to make their lives easier. In this role you will coach and mentor fellow DevOps Engineers on technical best practices, tooling, and operational patterns, helping raise the collective capabilities of the team.

What Skills Do I Need?

• 5-7+ years of hands-on DevOps or Infrastructure Engineering experience, with demonstrated ownership of production cloud environments at scale
• Proficiency with modern cloud infrastructure tooling — experience with Kubernetes, Helm, Terraform, Ansible, and major cloud providers (AWS and/or Azure) is highly relevant
• Proven experience mentoring and coaching engineers — whether formally or informally — and a genuine interest in developing the people around you
• Experience managing enterprise-grade data persistence layers, including NoSQL and SQL databases, key/value stores, and messaging systems (e.g., AMQP, MQTT)
• Familiarity with observability and monitoring tooling (e.g., Prometheus, Mimir, Thanos, Grafana) and a strong understanding of what good SRE practice looks like in a fast-growing SaaS environment
• Comfort driving team rituals — sprint planning, standups, retrospectives — and contributing to a high-performing team culture
• Exposure to modern programming or scripting languages used in infrastructure contexts (e.g., Go, TypeScript, Python, Bash)
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Key Responsibilities

• Own the deployment, health, and continuous improvement of Tulip's multi-cloud, multi-region SaaS environments — including clusters spanning the US, Europe, and Asia
• Design and evolve cloud architecture to ensure customer availability, stability, and performance as Tulip scales globally
• Contribute to and help shape the infrastructure technical roadmap in partnership with engineering leadership
• Own and continuously improve Tulip's CI/CD infrastructure, driving toward a fully automated, human-interaction-free software delivery lifecycle
• Build automation tooling and internal systems that reduce operational toil and increase developer velocity and bring the team along in building and owning them
• Define and maintain observability standards across Tulip's cloud environments, including metrics, alerting, logging, and distributed tracing
• Proactively identify performance degradation and capacity risks before they impact customers; lead incident response and drive root cause analysis
• Mentor and coach junior and mid-level engineers through code reviews, pairing sessions, and regular technical guidance
• Serve as a close partner to application engineering teams throughout the SDLC, providing infrastructure guidance and support
• Participate in the on-call rotation and help establish on-call best practices that scale as the team grows

Key Collaborators

• Application Engineering teams
• Edge & Hardware teams
• QA team
• Product Management
• Customer Support 

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
• Flexible work schedule and unlimited vacation policy
• Virtual company events and happy hours
• Fitness subsidies

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $150,000 - $190,000 per year.

About Topsort

Topsort is the leading Retail Media Infrastructure company - we're democratizing the auction-based ad technology that was once exclusive to Amazon, Google, and Alibaba, and making it accessible to retailers, marketplaces, and delivery apps in 40+ countries worldwide. Our APIs power native sponsored listings, dynamic banners, and clean-room attribution at scale — all privacy-first, all real-time.

We're a fast-growing, global-first team of ~100 people across Boston, Santiago, São Paulo, Barcelona, Sydney, and beyond. We move fast, we build in the open, and we hold a high bar — especially on infrastructure.

Why Topsort? Why now?

Topsort is changing the way Retail Media works. By joining our scaling team, you'll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry, as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you'll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you're looking to define your career as something greater than yourself, come scale with us.

What it’s like to work at Topsort

Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It’s a sports team that’s hyper focused on winning, collaborative internally, and competitive externally - never the other way around. 

We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We're the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we're all about getting it done today.

What is this role like?

We're hiring a Software Engineer for our Infrastructure team — the backbone of everything Topsort runs on. This is not a supporting role. Infrastructure at Topsort is a first-class, mission-critical function. When our infrastructure is healthy, every retailer and marketplace our customers serve gets fast, reliable, and fair auction results. When it's not, we feel it everywhere.

You'll be building and owning the systems that power our real-time auction engine, API platform, and internal developer tooling — at a scale and reliability standard that leaves no room for sloppiness. We need someone who treats production like it matters, because it does.

What You'll Do

• Own the platform - Design, build, and maintain the foundational infrastructure that every Topsort product and engineering team depends on, from compute and networking to deployment and observability.
• Raise reliability - Define and enforce SLOs, build alerting systems that catch issues before customers do, and lead postmortems that actually prevent recurrence.
• Make deployments boring - Build CI/CD pipelines and deployment systems that are so reliable they're invisible. Automate the toil out of every release.
• Manage infrastructure as code - Own our cloud infrastructure (AWS/GCP) through Terraform or equivalent — no snowflake servers, no manual configuration drift.
• Enable developers - Build internal tooling and platform capabilities that make every Topsort engineer faster, safer, and more autonomous. Your customers are your colleagues.
• Harden security - Implement and enforce security best practices at the infrastructure level — secrets management, network policies, RBAC, supply chain integrity.
• Scale proactively - Capacity plan, load test, and tune our systems ahead of demand — not in reaction to a page at 2am.
• Participate in on-call - We take production seriously. You'll join the on-call rotation and be expected to respond, resolve, and document.

What We Think You Need to Be Successful

We’re open to candidates who don’t check every box but show strong potential.

• Bachelor's in Computer Science, engineering or a related field from top schools
• 2–5 years of software engineering experience with a meaningful portion focused on infrastructure, platform, or SRE work
• Solid hands-on experience with Kubernetes in production — not a homelab, not a tutorial, but real clusters under real load
• Experience with at least one major cloud provider (AWS preferred) and infrastructure-as-code (Terraform or similar)
• Strong fundamentals in distributed systems — you understand CAP theorem, eventual consistency, and failure modes before they happen
• Experience building or maintaining CI/CD pipelines (GitHub Actions, ArgoCD, or similar)
• Comfort with observability tooling — metrics, logs, traces — and the discipline to use them proactively
• A security-conscious mindset: you think about blast radius, principle of least privilege, and secrets rotation without being asked

You'll stand out if you have:

• Experience in high-throughput, low-latency systems (ad tech, fintech, real-time bidding, or similar)
• Familiarity with service mesh, eBPF, or advanced Kubernetes networking
• Experience with database infrastructure and data streaming
• A track record of improving developer experience and reducing time-to-deploy
• Experience at a high-growth startup where infra had to scale faster than the team

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the largest and most influential platforms on the internet. 

As Reddit continues to scale globally, reliability and performance are more critical than ever. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.

We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.

This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can influence engineering culture across the organization.

What you’ll do:

• Lead Reliability Engineering for User Experience
• Drive reliability, scalability, and operational excellence for critical user facing systems and services. Improve performance and resiliency across APIs, content delivery, feed generation, search, messaging, and real-time experiences.
• Architect for Scale
• Partner with product and infrastructure engineering teams to design systems that remain highly available and performant under massive global load. Guide architectural decisions around failover, redundancy, graceful degradation, traffic management, and capacity planning.
• Reduce Operational Risk
• Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Build proactive mitigation strategies and drive engineering improvements that reduce incidents and improve service health.
• Drive Automation
• Eliminate repetitive operational work through automation and tooling. Build systems that improve deployment safety, incident response, remediation workflows, and reliability guardrails
• Incident Management
• Lead complex incident response efforts across engineering teams. Drive blameless postmortems, identify root causes, and ensure sustainable long-term fixes are implemented.

Influence Engineering Standards

• Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.

Mentor and Multiply Impact

• Provide technical leadership and mentorship to engineers across SRE and software engineering teams. Help shape reliability culture and raise the operational excellence bar across the organization.

What We’re Looking For

• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.
• Strong collaboration and communication skills with the ability to influence technical direction across teams.
• Strong experience supporting high traffic, user facing production environments.
• Deep understanding of one or more: distributed systems, networking, Linux systems, cloud native architectures.
• Experience designing highly available systems with strong operational and reliability practices.
• Strong programming skills in languages such as Go, Python, or similar.
• Strong understanding of observability systems including metrics, logging, tracing, and alerting.
• Experience improving reliability through SLOs, automation, incident management, and performance optimization.
• Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.

Nice to Have

• Experience operating systems at internet scale traffic volumes.
• Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
• Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
• Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
• Contributions to open source software or participation in technical communities.
• Experience leading large scale incident response and operational transformation initiatives.

Why Join Reddit?

You’ll help shape the reliability and performance of one of the internet’s largest platforms, influencing experiences used by millions of people every day. This is an opportunity to solve deeply complex engineering problems at massive scale while helping define the future of reliability engineering for a modern consumer platform.

Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Private Medical, Dental, and Vision Benefits
• Personal Retirement Savings Account with matching contribution
• Cycle to Work and Tax Saver schemes
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• 5+ years of industry experience building and deploying machine learning infrastructure at scale.
• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $335,000 annually. Final compensation is based on the level at which you are hired. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

About the role

As a Senior DevOps Engineer within the Core Infrastructure team, you are a key person in managing and scaling the systems and services that power our streaming platform. Your expertise in cloud technologies and DevOps methodologies enables you to take on complex challenges independently and create scalable solutions that meet our customers' needs. You will work with our delivery teams and lead projects, driving them forward to completion and ensuring that the platform processes and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery. You will work with our delivery teams to ensure that their systems are efficient and reliable, guide them to better quality and practices including observability and troubleshooting of services & incident management. You are expected to take initiatives to improve what we do overall, introduce new technologies & processes when it is needed and share knowledge across teams.

You will report to the Senior Manager, Core Infrastructure Engineering.

About You

You have an in-depth understanding of Software and DevOps methodologies, automation, and infrastructure as code. Your experience in designing, building, and scaling high availability systems shows your commitment to operational excellence. You excel in a collaborative environment and can work well with your teammates, providing a good example to other engineers to achieve high quality and standards in everything they do.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 8+ years of experience working in production-level environments as a DevOps/SRE
• Proficient in AWS cloud technologies, coupled with Infrastructure as Code (IaC) such as Pulumi and Terraform
• 3+ years of experience managing containerized infrastructure in ECS or Kubernetes
• Experience in GitOps practices and CI/CD.
• Experience managing Linux based infrastructure.
• Experience with observability and instrumentation of services so that efficient dashboards and alerts are created.
• Familiarity with relational databases like PostgreSQL, MySQL and non-relational databases like MongoDB, DynamoDB.
• Experience with CDN and caching technologies including AWS CloudFront. 
• Experience working with and guiding Software Engineers in production best practices, sharing knowledge across teams and teammates.
• Experience in at least two or more scripting languages including TypeScript.
• Able to accommodate periodic off-hour meetings with the international team members.
• Excellent communication skills and ability to collaborate with stakeholders.
• Participate in an on-call and developer support rotations.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Proficiency in TypeScript
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Familiarity with Datadog
• Familiarity with GitHub Actions

About the Team

At Crunchyroll, our Core Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

Summary

Join our Technical Services team as a Senior Platform Architect and drive transformational outcomes with Temporal. You’ll be the accountable technical owner from purchase to stable production, turning complex challenges into scalable, repeatable solutions. Shape delivery patterns, operational standards, and enablement strategies that accelerate customer success and create lasting competitive advantage across teams and environments.

What You'll Do

Own Production Readiness and Activation

• Act as the single owner of customers' scale-proof production readiness
• Drive the first production workflow and reduce time-to-production
• Establish guardrails and best practices for reliability, failure handling, scaling, and upgrades
• Make developers Temporal SDK experts, make customer platform architects Temporal Server and SDK best practice experts
• Set up alerting to catch issues before customers do
• Work on your assigned customers' most difficult tickets and problems
• Identify and remove activation blockers early before they become escalations
• Optimize costs and performance with customers

Run the Customer's Technical Program

• Build and execute a KPI-driven success plan tied to production outcomes
• Define standards for patterns, training, governance, and operational readiness
• Lead cross-functional coordination of Professional Services, Support, Partners, and internal teams, leveraging project management to ensure on-time, high-quality delivery
• Proactively manage technical risk, migrations, and architectural debt

Ensure Long-Term Technical Health

• Set and validate reliability, observability, and operational standards
• Monitor health signals and intervene before the customer knows they're happening
• Lead technical reviews, readiness checkpoints, and maturity assessments
• Certify teams and workloads as production-ready

Drive Adoption Through Production Success

• Surface growth signals based on usage, maturity, and confidence
• Partner with customers, Growth AEs and Solution Architects to unlock new workloads
• Translate production success into clear technical narratives for renewal and growth
• Advocate for customer needs and real-world patterns internally

What You'll Bring

• 6+ years of professional software engineering or solutions engineering experience
• Strong understanding of distributed systems, workflow orchestration, and reliability engineering principles
• Proficiency in at least one modern programming language such as Go, Java, TypeScript, or Python
• Experience building, deploying, and operating production systems at scale
• Demonstrated ability to debug complex technical issues and guide customers through resolution
• Strong customer-facing skills with the ability to communicate technical concepts clearly to diverse audiences
• Experience creating technical documentation, runbooks, and training materials
• Self-motivated with the ability to work independently while collaborating across teams
• Willingness to travel occasionally for customer engagements and team events

Nice to Haves

• Prior experience with Temporal or similar workflow orchestration platforms
• Experience with observability tools and practices for distributed systems
• Background in professional services, technical consulting, or solutions engineering roles
• Experience with Kubernetes, cloud platforms, and infrastructure-as-code tools
• Contributions to open source projects or developer communities
• Experience designing and delivering technical training or workshops

Compensation

• The estimated pay range for this role is $200,000 - $225,000 OTE.
• This is a base-salary, variable role with a 70/30 split.
• Equity Options - Eligible for stock options as part of Temporal's equity plan

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• 5+ years of industry experience building and deploying machine learning infrastructure at scale.
• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $335,000 annually. Final compensation is based on the level at which you are hired. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

Job Description:

We are seeking a Principal Full Stack Software Engineer to develop, maintain, and enhance complex and diverse software systems. In this role, you will support complex, multifaceted software systems—such as data-intensive analytics platforms, advanced algorithmic solutions, large-scale data processing environments, real-time applications, and business information systems—based on defined and documented requirements. The ideal candidate for this role will have front-end and back-end web development experience. Please consider applying if you meet the following qualifications.

Required Qualifications:

• TS/SCI with polygraph.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and twelve (12) years or relevant experience is required. In lieu of a degree, sixteen (16) years of relevant experience is acceptable. 
• Front-end web development language experience in JavaScript, JavaScript XML (JSX) in React, and Typescript
• Back-end development language experience in Node.js/JavaScript, Rust, Python, and shell script.
• Micro-services architecture experience/ familiarity to inlcude:
  
  • Kubernetes
  • Helm Charts
  • Micro-Services deployment patterns
  • Service-mesh
  • Multi-site applications
  • Load Balancing topologies
  • Cloud Migration
• Experience or familiarity with the following tech stack architecture:
  • NiFi, Testing frameworks (JEST), Grafana, InfluxDb, Elasticsearch, Redis, MySQL, Apache, Superset, RabbitMQ/Kafka/Message Fabrics, Ansible/Salt, Terraform, Web-Sockets, and Neo4j
• Experience analyzing user requirements to derive software design and performance requirements.
• Experience designing and coding new software or modifying existing software to add new features. 
• Experience debugging existing software and correcting defects.

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

We are seeking a Senior Artificial Intelligence (AI) Analytic Engineer to lead the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. In this role, you will integrate advanced AI capabilities through application programming interfaces (APIs) such as OpenAI and AWS Bedrock. You will also build intuitive front-end experiences using technologies like AWS Amplify and React. The ideal candidate for this position will have deep experience implementing analytic governance and AI governance frameworks, and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy. Please consider applying if you meet the following qualifications.

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and eight (8) years or relevant experience is required. A Doctoral degree (PHD) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of experience is also acceptable. 
• Strong proficiency with object-oriented languages like Python and Java.
• Demonstrable expertise with analytic development environments and cloud-native platforms.
• Strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
• Proficiency with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo, or similar tools.
• Experience with the following tech stack:
  • PySpark
  • Jupyter Notebooks
  • Kubernetes
  • Docker
  • Elasticsearch
  • Query Time Analytics
  • Customer tools and data repositories

THE ROLE 

Join Portworx® by Everpure™ and drive technical positioning for Kubernetes data management within our high-growth Cloud Native Business Unit. You will bridge the gap between complex engineering and customer success by designing immersive demos and narratives for AI/ML and modern virtualization workloads. This role empowers you to influence product direction through direct collaboration with Product, Sales, and the global CNCF community. You’ll build a visible industry brand while working alongside a passionate, supportive team dedicated to the evolution of the Everpure™ Platform.

WHAT YOU'LL DO

• Strategic Content Leadership: Architect and produce high-impact technical assets—from deep-dive white papers to interactive labs—that translate Portworx® capabilities into tangible solutions for complex customer pain points.
• Industry Thought Leadership: Drive global market awareness by securing speaking engagements at major industry conferences and cultivating expert-level engagement within the open-source and cloud-native communities.
• Technical Subject Matter Expertise: Serve as the definitive technical authority for the Portworx® portfolio, specifically optimizing alliance solutions with partners like Red Hat and SUSE to differentiate our offerings in a competitive landscape.
• Go-To-Market Enablement: Orchestrate comprehensive technical training and enablement packages for Sales Engineering and Field Marketing to ensure the global sales organization is proficient in demonstrating the value of the Everpure™ Platform.

WHAT YOU BRING

• Technical Marketing Authority: Extensive professional background in Technical Marketing, Solutions Architecture, or Developer Advocacy, specifically focused on the Kubernetes and cloud-native ecosystem.
• Communication Excellence: A proven ability to transform intricate technical data into compelling, market-ready narratives and the confidence to present these insights to both executive and highly technical audiences (Platform Engineers, DevOps, Cloud Architects, SREs, IT infrastructure managers, and IT Decision Makers).
• Cloud-Native Proficiency: Experience in platform engineering, DevOps best practices, and modern technologies including container storage, data protection, and the infrastructure requirements of AI/ML workloads.
• Strategic Collaboration: The ability to navigate cross-functional environments, aligning with Product Management and Alliances to drive business impact and set the standard for best-in-class technical execution.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE #LI-KQ1

Axonius is seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

Axonius, Inc. (Remote, reporting to headquarters in New York, NY) is seeking a DevOps Tech Lead. This role involves defining and creating complex technological solutions to address issues raised by the entire company in order to enhance Axonius' proprietary platform.

Specifically, the DevOps Tech Lead is responsible for designing and implementing Axonius' complex and unique tools and solutions in the following areas:

• Leads the design of the company’s cloud infrastructure architecture, from the organizational account structure to the deployment of individual workloads. Defines where and how services run, and how they integrate with dependent systems across the platform. Establishes scalable, secure, and resilient infrastructure patterns;
• Leads the design and configuration of the networking architecture supporting distributed services across the Axonius platform. Defines scalable and secure network topologies and connectivity patterns within AWS environments. Architects the use and integration of services such as Application Load Balancers, Network Load Balancers, NAT and Internet Gateways, and VPC and S3 endpoints.
• Leads the design and development of the company’s Infrastructure as Code frameworks, enabling consistent and automated infrastructure provisioning across environments. Architects scalable deployment patterns using Terraform and AWS CloudFormation. Establishes standards and reusable modules to ensure reliability, maintainability, and governance of cloud infrastructure;
• Designs and maintains CI automation for continuous integration and delivery, enabling software development, testing, and deployment;
• Leads the design and governance of the company’s end-to-end Configuration Management architecture, ensuring scalable, reliable, and auditable system configurations across all environments. Defines standards & automation strategies to maintain consistency and operational excellence, mainly utilizing Ansible;
• Architects and governs the company’s local and staging development environments, delivering a scalable, consistent developer experience across diverse hardware and operating systems. Designs flexible, multi-purpose solutions and rollout strategies to support 200+ internal users. Establishes standards, automation, and tooling to streamline setup, testing, and environment parity;
• Leads the design of the company’s end-to-end monitoring architecture, defining how the full monitoring stack is built, deployed, and operated. Establishes standards for metrics, logs, and telemetry collection to ensure comprehensive visibility across systems and services. Designs scalable solutions that enable reliable observability and actionable insights. Ensures the monitoring platform effectively serves internal teams and drives operational excellence;
• Leads the evaluation and introduction of new DevOps tools across the organization, ensuring the platform stack remains modern, efficient, and aligned with engineering needs. Conducts research, proof-of-concepts, and technical assessments to identify solutions that deliver the greatest operational impact. Drives adoption of tools across domains such as cloud infrastructure, CI/CD, configuration management, AWS automation, and monitoring.

The position requires at least 9 years of experience as a DevOps or VoIP engineer, which also includes experience with the following:

• 9 years of experience:
• Managing and maintaining Linux-based servers, which includes any experience with tools such as SaltStack, Kubernetes, or writing in Bash;
• 5 years of experience:
• Managing and maintaining Linux-based Web-Servers, such as Apache, Nginx, or Envoy;
• Working with Configuration management tools at a production level, which includes any experience with Ansible or SaltStack;
• Working with open source caching solutions tools such as Memcache;
• Working with open source DNS tools such as bind9;
• 3 years of experience:
• Building and maintaining complex AWS architectures, which includes experience with AWS EKS;
• Writing and using Helm charts;
• Building and creating CI/CD tools and pipelines, such as Jenkins; and
• Managing cloud infrastructure via Terraform.

Axonius is seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

About the Role

We're seeking a hands-on VPN Backend Architect (Golang) to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

See yourself at Twilio

Join the team as Twilio’s next Staff Software Engineer

About the job

This position is needed to harden, optimize, and scale the real-time event-aggregation services that power our Observability Insights/Analytics platform.

We are seeking a Senior Software Engineer with solid Java expertise to help deliver a high-throughput stream-processing microservices (Kafka Streams / Flink) deployed on AWS EKS, tune ClickHouse for millisecond-latency writes, and embed observability that keeps incident minutes near zero. You will design resilient, high-performance systems capable of processing >250K events/sec with p99 latencies under 200ms, while championing DevSecOps practices and mentoring junior engineers.

Responsibilities

In this role, you’ll:

• Design, build, and maintain high-performance Java microservices using Spring Boot, capable of ingesting >250K events/sec with p99 < 200 ms
• Implement stateful stream-processing pipelines (Kafka Streams / Apache Flink) with idempotent replays, exactly-once semantics, and schema-evolution tooling
• Optimize ClickHouse schemas, partitioning, and materialized views to support multi-region, sub-second queries for Early Warning System (EWS) detectors
• Embed OpenTelemetry instrumentation and ship comprehensive metrics/traces/logs to Datadog and Grafana with SLI/SLO dashboards
• Implement DevSecOps best practices including Terraform automation, CI/CD pipelines, Kubernetes orchestration, AWS infrastructure (EKS, MSK, S3), and compliance guardrails (HIPAA, SOX, GDPR)
• Leverage best-in-class development productivity practices including AI-powered tooling to accelerate delivery and code quality
• Mentor junior engineers as necessary and participate in rigorous code/design reviews to elevate team standards and foster knowledge sharin

Qualifications 

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

*Required:

• 5+ years of professional Java development experience with mastery of high-performance and low-latency design patterns
• Production experience with Kafka Streams, Flink, or comparable stream-processing frameworks for building real-time data pipelines
• Hands-on ClickHouse (or columnar database) performance tuning and SQL optimization expertise
• Proven success operating AWS-hosted microservices of moderate to complex scope with solid Linux, Docker, and Kubernetes knowledge
• Strong observability mindset including metrics, tracing, alerting, and post-incident analysis capabilities
• Excellent communication skills and a bias toward collaborative problem-solving in cross-functional team environments

Desired:

• Experience migrating single-region services to multi-region active-active topologies for high availability
• Familiarity with data-privacy controls including PII tokenization and field-level encryption
• Previous work in telecom, real-time analytics, or compliance-sensitive domains
• Contributions to open-source Java or streaming projects demonstrating community engagement

Location

This role will be based in our Dublin, Ireland office. 

Travel 

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

What We Offer

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

Summary

As a Senior Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies that drive customer adoption and use of the Wiz platform for our largest customers. 

Your cloud and security industry expertise will allow you to provide impactful guidance to customers throughout their Wiz onboarding and operationalization journey. You will serve as the bridge between customers and the broader Wiz team –  you'll streamline collaboration between Product Management, Sales, Engineering, and Support to deliver a cohesive customer experience for our most demanding customers. 

Strong technical expertise and customer-facing skills will be essential in addressing the needs of our customers. Your understanding of how large organizations leverage cloud, security, and SaaS technologies will allow you to empathize with customer personas and drive effective conversations with customer personas at all levels. 

What you’ll do: 

• Be a Wiz Product and Cloud Security Expert –  Serve as a trusted technical advisor throughout your customers’ Wiz journey
• Confidently navigate customers through the deployment, configuration, and operationalization of Wiz using best practices and your existing cloud-security domain expertise. 
• Serve as the primary technical contact for your book of customers, helping to solve technical questions and issues as they arise via email, Slack, and support tickets.  
• Act proactively, by leading the customer on a journey to full adoption and value and promoting excellence in addressing Cloud, Code and Runtime security risk  
• Continuously monitor news related to emerging cloud security threats and further develop your domain expertise
• Continuously stay abreast and enabled on new Wiz features and functionality 
• Drive Adoption, Business Value Realization, and Customer Satisfaction – Ensure your book of customers are delighted and seeing value from their Wiz purchase 
• Help customers develop success plans with measurable goals throughout the Wiz lifecycle that align with their organizational security and compliance objectives
• Act proactively, by leading the customer on a journey to full adoption and value, and promoting excellence in addressing Cloud, Code, and Runtime security risk  
• Use your expert knowledge of the Wiz platform and features to accelerate your customers’ success and attainment of value  
• Assist customers in project managing Wiz adoption and operationalization goals across business units and stakeholders
• Help unblock adoption as necessary by working with both internal and external parties to resolve people, process, and technology issues
• Drive and track your customers’ achievement of business goals and realization of value through Wiz 
• Report progress and results to key Wiz and customer stakeholders in executive-friendly communications 
• Actively drive value based conversations with customer executives and provide meaningful contributions to QBRs/executive briefings 
• Advocate for your Customers – Understand, document, and represent your customers’ needs to internal Wiz stakeholders
• Capture feature requests/adoption blockers and liaise with Product and Engineering teams to determine priority and alternative solutions

Manage your book of business and support revenue objectives - Support and manage a book of up to 10 strategic customers, depending on size and complexityIdentify opportunities for expansion and assist in securing renewals in partnership with sales and renewals teams. 

• Drive towards utilization/adoption targets for your book of business 
• Identify, document, and action on risks (e.g, satisfaction/churn/renewal/health) in customer engagements 
• Develop and cultivate close relationships with key customer contacts, from C-level to practitioner, to understand sentiment and drive forward key Wiz objectives 

Help build and scale a world-class TAM organization at a hyper-growth company – assist in driving improvements in Wiz’s TAM motion and have an impact across GTM teams Develop documentation, mentor TAMs, and develop an area of technical subject-matter expertise 

• Partner cross-functionally with internal teams to improve processes 
• Assist other TAMs with technical escalations 
• Be a cloud security thought-leader by participating in industry events and contributing to community posts and blogs

What you’ll bring

• Overall
• 8-12+ years of experience in technical customer-facing roles, ideally supporting a cloud / cloud-security product
• Examples include: Senior Technical Account Manager, Senior Professional Services Engineer, Principal Solutions Engineer, Senior Technical Support Specialist, Lead Customer Success Engineer, or Sr. Architect. 
• B.S. in Computer Science, Engineering, or similar field, or equivalent advanced experience.
• Demonstrated ability to manage nebulous job responsibilities while actively improving and developing net-new processes 
• Technical Knowledge
• Expert understanding of cloud services and architecture of at least 2 CSPs (AWS/GCP/Azure/OCI) – ideally, you have multiple advanced CSP certifications (e.g., Certified Solutions Architect - Professional, Certified DevOps Engineer - Professional).
• Deep familiarity with cloud-security best practices, advanced threat models, and complex CNAPP use cases. Ideally, you have a security certification (e.g., CISSP, CCSP) and extensive experience helping organizations address complex cloud-security challenges.
• Practical experience deploying and operationalizing containerization technologies (Docker, Kubernetes), as well as addressing corresponding security considerations 
• Practical experience deploying and operationalizing DevOps technologies – CI/CD, Version Control Systems, Infrastructure as Code (IaC), etc., and their security implications.
• Expert-level familiarity with Linux and Windows operating system security concepts, and advanced troubleshooting experience
• Exceptional problem-solving skills, with the ability to diagnose and resolve highly complex technical issues, driving resolution across intricate and often ambiguous internal and external structures.
• Demonstrated ability and commitment to continuously learn and master novel and emerging cloud/security technologies.
• Account Management and Customer Success
• Proven track record of successfully managing a book of business with 5+ complex enterprise/strategic customers.
• Proven track record of building and maintaining executive-level relationships with enterprise/strategic clients, driving significant customer outcomes, and consistently exceeding performance targets.
• Expert ability to continuously enable customers on the Wiz platform and proactively assist them in solving problems, ranging from trivial to highly complex and strategic.
• Willingness to work across multiple communication channels and platforms to assist your customers - e.g., responding to Slack messages / responding to emails / responding to support tickets
• Advanced ability to use data and systems (e.g., CRM, log analysis tools) to monitor customer health, identify complex trends, and strategically inform customer success and retention initiatives.
• Extensive experience crafting customer-facing artifacts and decks 
• Exceptional communication and interpersonal skills, with the ability to effectively engage and influence stakeholders at all levels of an organization, including C-suite executives.

WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in. 

For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet. 

Our team of fun, welcoming, values-driven and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology—all backed by the global technological power of Infosys.

Experience, Tech & AI

We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.

We are now looking for a Fullstack Developer (Frontend / API) who combines modern web development with strong system thinking—building performant, user-centered applications across frontend and backend layers.

Our local benefits

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like
• Working for strong brands and clients we believe in
• 30 days vacation per year
• Company Benefits
• Urban Sports Club
• Nice people in welcoming teams

What you can expect

Frontend & Experience Development

• Build modern, high-performance web interfaces for complex applications
• Translate UX/UI concepts into scalable frontend architectures
• Design interfaces that make complex AI and agent-driven systems intuitive and usable
• Ensure consistent, responsive, and high-quality user experiences across devices
• Contribute to RFPs, pitches, and interactive prototypes 

API & Backend Integration

• Develop and integrate APIs for data- and AI-driven applications
• Integrate agentic workflows and orchestration layers into usable application logic
• Work with structured data models, authentication, and interface logic 

System Thinking & Collaboration

• Act as the interface layer between users and agentic systems—making multi-agent workflows accessible and controllable
• Collaborate closely with Product, Design, AI Engineers, and Solution Architects
• Design modular components and reusable system patterns
• Bring structure to technical decisions and reduce system complexity

What we'd love to see

• Several years of experience building modern web applications (frontend + API)
• Strong proficiency in TypeScript/JavaScript and frameworks like React, Next.js, or Vue
• Experience designing and integrating REST or GraphQL APIs
• Experience with AI/GenAI integrations (e.g. OpenAI, Gemini APIs)
• Solid understanding of state management, performance, accessibility, and responsive design
• Experience with backend technologies (e.g. Node.js, Express, FastAPI)
• Familiarity with design systems and component libraries (e.g. Storybook, Tailwind, shadcn/ui)
• Understanding of cloud-based architectures and deployment processes
• Fluency in German and English (C1)
• Work permit for Germany and at least one year of work onsite in Germany

Nice to have

• Experience with real-time technologies (WebSockets, streaming)
• Experience with CI/CD, Docker, or platforms like Cloud Run, Vercel, or Kubernetes
• Experience with headless CMS, DAM, or MarTech systems
• Passion for building clean, scalable, and understandable frontend architectures

You’ll connect user experience and system logic—building interfaces and APIs that turn complex AI capabilities into usable, high-performing applications. Your work enables teams to deliver seamless, end-to-end digital products that scale across platforms and use cases. By structuring frontend and backend as modular, reusable systems, you help reduce complexity, accelerate development, and ensure consistency across experiences—turning ideas into reliable, real-world applications.

We care about your personality and professional skills. We don't care about your gender, age, nationality or appearance and are open to working with everyone.

Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity is responsible, which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here.

Infrastructure Software Engineer, Energy Storage 

The Infrastructure Engineer is responsible for designing, building, and maintaining the foundational platform infrastructure that enables our engineering team to develop and deploy Battery Energy Storage Systems reliably and at scale. This role serves as a force-multiplier across the organization, owning edge fleet management, server provisioning, and deployment automation while ensuring systems are secure, scalable, and performant. The position partners closely with cross-functional engineering teams to translate early deployment learnings into platform improvements and drive resolution of scalability, reliability, and security challenges. Success in this role requires deep technical expertise, a collaborative mindset, and the ability to thrive in an ambiguous, fast-paced, early-stage environment. 

Responsibilities will include: 

• Design and own the rollout of edge Kubernetes fleet management, automated server provisioning, and software update pipelines to support scalable and reliable system deployment. 
• Evaluate server hardware and operating systems to help define the architecture of the organization's next-generation energy storage platform. 
• Identify and resolve hard infrastructure problems, including scalability bottlenecks, reliability gaps, performance issues, and security vulnerabilities. 
• Build and maintain tooling and services used to validate software systems at scale, including performance and reliability testing frameworks. 
• Serve as a technical resource for the broader engineering team through pair programming, in-office working sessions, and hands-on project leadership. 
• Translate learnings from early deployments and customer pilots into concrete, measurable improvements to platform infrastructure. 
• Reinforce a team culture grounded in engineering excellence, curiosity, inclusivity, and a willingness to take action and learn from mistakes. 

Desired Qualifications: 

• 5+ years of relevant industry experience in infrastructure, platform, or site reliability engineering. 
• Strong grasp of system design principles and real-world experience building available, reliable, scalable, and secure distributed systems. 
• Experience designing, implementing, and maintaining secure network systems and infrastructure. 
• Genuine interest in server hardware fundamentals and how software and hardware interact at the platform level. 
• Ability to work comfortably with ambiguity, prototype solutions iteratively, and learn rapidly from early-stage work. 
• Strong written and verbal communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences. 
• Ability to manage multiple workstreams, shifting priorities, and competing deadlines in a fast-paced, early-stage environment. 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer on the Machine Learning Data Engine: Labels Platform team. Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.

In this role, you will

• Apply production best practices to ensure platform reliability
• Feature development for new labeling applications
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
• Apply ML Ops best practices to design processes for improving data coverage and quality

Required Qualifications

• BS / MS / PhD degree in Computer Science or a related field
• For non-CS majors or BS candidates, strong software experience (4+ years in industry)
• 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
• Experience with C++ and Python

Desirable Qualifications

• Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
• Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
• Supplementary programming languages: Golang, Typescript

The base salary range for this position is $126,000 - $201,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer on the Machine Learning Data Engine: Labels Platform team. Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.

In this role, you will

• Apply production best practices to ensure platform reliability
• Feature development for new labeling applications
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
• Apply ML Ops best practices to design processes for improving data coverage and quality

Required Qualifications

• BS / MS / PhD degree in Computer Science or a related field
• For non-CS majors or BS candidates, strong software experience (4+ years in industry)
• 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
• Experience with C++ and Python

Desirable Qualifications

• Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
• Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
• Supplementary programming languages: Golang, Typescript

The base salary range for this position is $126,000 - $201,000 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Data Infrastructure Engineer Intern  who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

What You’ll Do:

• Assist in maintaining and improving our data warehousing systems (AWS DMS, Redshift).
• Support the team in monitoring data pipelines, identifying issues, and troubleshooting basic problems.
• Write and optimize SQL queries for analytics and data validation.
• Collaborate with engineers and analysts to understand data needs and support use cases.
• Participate in testing, documentation, and improving reliability of data systems.
• Identify and automate repetitive daily manual processes, reducing operational overhead and improving team efficiency.
• Learn and explore new tools and technologies in the data ecosystem.

What We Look For:

• Currently pursuing (or recently completed) a degree in Computer Science, Data Engineering, or a related technical field.
• Basic understanding of relational databases (MySQL, Postgres, relational concepts) and no sql databases. 
• Familiarity with at least one programming language (Python, Go, or similar).
• Interest in data infrastructure, distributed systems, or backend engineering.
• Strong problem-solving skills and willingness to learn.
• Ability to work in a collaborative team environment.
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Leveraged AI tools such as Claude to accelerate development workflows, troubleshoot complex technical issues, and enhance productivity.

Preferred Knowledge and Skills:

• Exposure to cloud platforms (AWS preferred).
• Basic understanding of data pipelines or ETL concepts.
• Awareness of data warehousing concepts.
• Interest in big data or streaming technologies (Kafka, Kinesis Streams, Flink etc.)

About You:

• You’re curious and proactive - you ask questions and seek to understand how things work.
• You take ownership of your learning and follow through on tasks.
• You’re open to feedback and eager to improve.
• You communicate clearly and work well with others.
• You’re excited to build real-world skills in data engineering.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch, Redshift
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: We build before we buy whenever possible

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

Compensation: The salary for the Data Infrastructure Engineer Intern is 700 USD monthly gross. 

#Li-remote #Full-time

About the Role

We're seeking a hands-on VPN Backend Architect to lead our backend team while spending 70% of your time writing Golang code. You'll set technical direction for our backend platform serving millions of users, guide an engineering team, and own architecture decisions for distributed services that must be fast, reliable, and secure at scale.

This role suits someone who wants to design secure, scalable systems and write the code that runs them. 

What You'll Do

• Define and evolve the architecture of our backend platform serving connections from millions of users
• Design and build highly available distributed services in Golang while setting technical direction on scalability, reliability, and performance targets  
• Lead code reviews and champion testing discipline, clean architecture, and engineering best practices across the team
• Partner with the SDK team to integrate client features cleanly into backend systems and deliver end-to-end functionality
• Mentor engineers and grow the technical depth of the team while collaborating with security, infrastructure, and product teams
• Drive the team to meet performance targets and ship reliable products that protect users at scale

What We're Looking For

• Bachelor's degree in Computer Science or related field.
• 8+ years of backend engineering & architecture experience with 5+ years in Golang
• Proven track record designing and operating distributed systems at scale with deep understanding of networking protocols (IP, TCP, UDP, HTTP/HTTPS, DNS)
• Hands-on experience with VPN protocols (WireGuard, OpenVPN, IPsec), tunneling, NAT traversal, and low-latency networking
• Production experience on AWS (EC2, EKS, S3, Aurora/RDS) with container technologies (Docker, Kubernetes) and strong Linux development background
• Working knowledge of cryptography fundamentals, threat modeling methodologies, secure coding practices, and strong API design skills

Bonus Points

• Master's degree in Computer Science or related field
• Network performance tuning and optimization experience with knowledge of Python and Java
• Experience with NoSQL databases and familiarity with observability tools (Prometheus, Grafana, OpenTelemetry)

#LI-REMOTE

Point Wild is committed to offering a generous package to support our employees in all aspects of their life in and out of work. Our packages offer competitive pay, generous health and wellness benefits, retirement savings plans, parental leave and much more! Pay range for this position is $250,000 - $275,000 but may vary depending on job-related knowledge, skills, experience and location.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

As an SAP Integration Engineer at Parloa, you will be at the forefront of one of our most strategic partnerships, building the technical bridges between Parloa's conversational AI platform and the SAP ecosystem. Your mission is to design, implement, and operationalize integrations that connect Parloa to SAP environments across our most important enterprise customers and partners.

You will be the field-facing SAP expert embedded in complex integration projects, owning the end-to-end technical path from business requirement to production integration, across SAP BTP, S/4HANA, ECC, Service Cloud, and CRM. You will work closely with Parloa's Forward Deployed Engineering team and help build the foundation for a dedicated SAP-focused delivery practice.

This is a hands-on integration role at the intersection of enterprise SAP architecture, conversational AI, and customer-facing delivery. You won't just advise—you will design and build.

Areas of ownership:

• Own SAP integration projects end-to-end: Lead the technical design and execution of integrations between Parloa and SAP environments, from PoC through production go-live.
• Design scalable integration architecture: Define integration patterns using SAP BTP (Integration Suite, API Management, Event Mesh), OData/REST/SOAP APIs, and middleware layers connecting SAP backends (S/4HANA, ECC, Service Cloud, CRM) to Parloa's AI platform.
• Build and configure integration flows: Implement iFlows, API connectors, and data transformations that enable Parloa agents to read from and write to SAP systems covering use cases such as order management, customer data, case management, and transactional queries.
• Navigate enterprise SAP constraints: Work within customer environments that have strict security policies, complex authorization models (SAP IAS, OAuth2), and regulated data handling requirements, proposing pragmatic, production-grade connectivity solutions.
• Partner deeply with customer and SAP engineers: Collaborate directly with customer SAP Basis, BTP, and application teams, as well as SAP's own technical teams, to align architectures, test plans, and rollout procedures.
• Support partner enablement: Help system integrators and SAP partners build and deliver Parloa-SAP integrations independently
• Shape the integration practice: Translate recurring field experience into standardized approaches, accelerators, and playbooks that improve repeatability and reduce delivery time across similar engagements.
• Provide structured product feedback: Identify gaps between Parloa's integration capabilities and SAP customer requirements; translate findings into clear, actionable input for Product and Engineering.

Our Technology Stack: SAP BTP (Integration Suite, API Management, Event Mesh), SAP S/4HANA, SAP ECC, SAP Service Cloud, SAP CRM, OData v2/v4, REST, SOAP, OAuth2 / SAP IAS, Microsoft Azure, TypeScript / Node.js, Kubernetes

Who you are:

• 5+ years of professional experience in SAP integration engineering, SAP BTP development, or SAP technical consulting, with a track record of delivering integrations in live enterprise environments.
• Strong hands-on expertise with SAP BTP Integration Suite (formerly CPI): designing, building, and operating iFlows, API proxies, and event-based integration scenarios.
• Solid understanding of SAP data models and APIs across one or more relevant products: S/4HANA, ECC, Service Cloud, or CRM.
• Proficiency with integration protocols and standards: OData (v2 and v4), REST, SOAP, OAuth2, and SAP IAS/XSUAA authentication patterns.
• Ability to operate independently in ambiguous, high-responsibility customer environments—able to own integration challenges end-to-end and drive them to resolution across multiple stakeholders.
• Clear communicator with both SAP-native engineers and non-technical business stakeholders—able to translate integration complexity into decisions and delivery.
• Degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
• Strong plus: Experience with conversational AI, contact center platforms, or CX technology stacks in an SAP context.
• Strong plus: Familiarity with SAP AI Core, SAP Agent Builder, or similar AI extensions within the SAP ecosystem.
• Strong plus: Experience working with or for SAP system integrators in a delivery or presales engineering capacity.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges include OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Recorded Future is seeking a skilled and motivated Platform Engineer to join our dynamic team. The ideal candidate will have a solid background in Continuous Integration (CI), Continuous Deployment (CD), Kubernetes, developer toolsets, and Software Development Life Cycle (SDLC) best practices. This role requires a strong understanding of modern Platform Engineering tools and practices, as well as a commitment to fostering a responsive, communicative, and collaborative environment.  This is a role and team that enables Engineering to operate and build at the scale and pace of the ever changing Security Threat Landscape. 

You will be curious, collaborative and build with existing tools and work with the team to identify new approaches, technologies, (including AI related capabilities) to allow your team and others to increase velocity and impact. 

This role requires you to work in Recorded Future's Boston office at least 3 days per week.

What You'll Do:

• Design, implement, and maintain CI/CD pipelines to ensure efficient and reliable software delivery. 
• Develop and manage infrastructure as code using Terraform. 
• Deploy, manage, and monitor containerized applications using Kubernetes. 
• Support the development and management of production Kubernetes clusters in a cloud environment (AWS preferred). 
• Manage and optimize cloud infrastructure in AWS to support scalable and secure applications. 
• Administer and optimize source code repositories and workflows in GitHub. 
• Collaborate with development teams to enhance developer toolsets and streamline SDLC processes. 
• Troubleshoot and resolve infrastructure and application issues. 
• Implement best practices for security, reliability, and performance. 
• Communicate effectively with cross-functional teams to understand requirements and deliver solutions. 

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. 
• 3+ years of experience in a platform engineering or similar role. 
• Proficiency in Golang or Python for scripting and automation. 
• Proven experience with Terraform for infrastructure as code. 
• Proven knowledge of Kubernetes for container orchestration and experience with ArgoCD. 
• Hands-on experience with GitHub for version control and collaboration. 
• Proven experience with AWS cloud services. 
• Excellent problem-solving skills and the ability to work under pressure. 
• Exceptional communication skills, both verbal and written. 
• Proven ability to work collaboratively in a team environment. 
• Strong organizational skills and attention to detail. 
• Good networking knowledge. 

Preferred Qualifications:

• Experience with Github runners and other CI/CD tools and platforms.
• Familiarity with programming languages such as Go, Python or Java in the context of CICD.
• Knowledge of security best practices in cloud environments.
• Experience with observability tools such as Prometheus, ELK and Grafana stacks.
• Certification in AWS or Kubernetes and experience with Backstage is a plus.
• Experience with kOps is a plus.
• Knowledge of Cilium CNI is a plus 

The base salary range for this full-time position is $92,500-$139,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.

About the Role:

As a SAP Agent Architect at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. In this customer-facing role, you will support implementations where Parloa’s conversational AI platform must work reliably with SAP data, processes, and integration constraints -from design through testing and go-live readiness.

You combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy: you understand how Parloa agents should read from and write to SAP systems safely and predictably, and you partner with Forward Deployed Engineering and customer SAP teams to make that path buildable, testable, and production-grade.

You will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (for example order management, customer data, case management, and transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails.

Areas of Ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners  with a focus on programs where SAP-backed systems and processes are in scope (for example SAP Service Cloud / CRM, and related enterprise SAP landscapes)
• Leverage your knowledge of LLMs (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior, including cases where agent actions depend on SAP-sourced data and SAP business rules
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards
• Build and configure integrations between customers’ systems and Parloa’s platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms, including SAP CX / SAP ERP surfaces where applicable) via integration platforms and APIs to deliver end-to-end enterprise solutions
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities,  including SAP-specific connectivity, authentication, and data-access patterns (e.g., OData, REST/SOAP, OAuth2 / SAP IAS / XSUAA) where they materially affect agent behavior and reliability
• Identify and solve blockers together with other departments at Parloa (e.g., Product, Forward Deployed Engineering or Sales) and the customer, including coordination with customer SAP teams and SAP partner engineers when required to unblock delivery
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions — with explicit coverage for integration-dependent paths common in SAP environments (partial responses, authorization failures, latency, and transactional correctness)
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team

Who You Are:

• 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work)
• Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP
• Experience with conversational AI / contact center / CX technology in an SAP context
• Demonstrable SAP integration experience in live enterprise delivery contexts, including comfort operating across SAP BTP, S/4HANA, ECC, Service Cloud, CRM, and/or adjacent SAP CX stacks as they relate to agent-connected use cases
• Solid understanding of SAP APIs and data access patterns across one or more relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA
• Strong prompt engineering and LLM workflow design skills: you can analyze requirements and craft prompts/instructions for reliable, user-aligned behavior under enterprise constraints
• Analytical and structured communicator: explicit trade-offs, decisions, next steps; strong stakeholder and milestone discipline
• Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading enterprise API documentation

Nice to Have:

• Experience working with or for SAP system integrators in delivery or presales-adjacent engineering roles
• Familiarity with cloud landing zones commonly paired with SAP integrations (e.g., Microsoft Azure), Kubernetes concepts, and/or TypeScript/Node.js tooling for integration-heavy delivery
• Git-based collaboration and CI/CD exposure

How You Will Work With Parloa Teams:

You will work as a technical delivery partner alongside Forward Deployed Engineering (including SAP integration specialists) on shared technical outcomes: reliable connectivity, correct data contracts, and agent behavior that holds up in production. You are expected to work on integration mechanics where they directly impact agent quality: API contracts, authentication and token flows, request/response shaping, pagination and filtering, error handling, latency and timeouts,, and environment-specific constraints, and to debug, validate, and tighten those paths using structured tests and measurable evidence.

This is not a “design-only” handoff model: you will configure, test, and iterate integration-connected agent capabilities with the same engineering rigor you apply to prompts and conversational structure, escalating to deeper platform engineering when the problem crosses into core product/runtime ownership.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical & Expert Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space.

Core Responsibilities:

• Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads.
• CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow.
• Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production.
• Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation.
• ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring.
• Deploy tools that empower individual teams to monitor their workloads.
• Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC.

What you bring to the table:

• Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads.
• GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD).
• Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong).
• Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate.
• Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS).
• Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow).
• Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse.
• At least an upper-intermediate level of spoken and written English.

It would be great if you also had:

• ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift.
• Automation Savvy: Experience with Ansible for cluster bootstrap and recovery.
• Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications.
• Modern Stack Exposure: Familiarity with Loki, Grafana, or managing ClickHouse at scale.

We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space.

Core Responsibilities:

• Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads.
• CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow.
• Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production.
• Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation.
• ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring.
• Deploy tools that empower individual teams to monitor their workloads.
• Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC.

What you bring to the table:

• Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads.
• GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD).
• Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong).
• Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate.
• Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS).
• Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow).
• Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse.
• At least an upper-intermediate level of spoken and written English.

It would be great if you also had:

• ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift.
• Automation Savvy: Experience with Ansible for cluster bootstrap and recovery.
• Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications.
• Modern Stack Exposure: Familiarity with Loki, Grafana, or managing ClickHouse at scale.

We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space.

Core Responsibilities:

• Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads.
• CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow.
• Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production.
• Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation.
• ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring.
• Deploy tools that empower individual teams to monitor their workloads.
• Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC.

What you bring to the table:

• Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads.
• GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD).
• Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong).
• Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate.
• Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS).
• Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow).
• Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse.
• At least an upper-intermediate level of spoken and written English.

It would be great if you also had:

• ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift.
• Automation Savvy: Experience with Ansible for cluster bootstrap and recovery.
• Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications.
• Modern Stack Exposure: Familiarity with Loki, Grafana, or managing ClickHouse at scale.

We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space.

Core Responsibilities:

• Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads.
• CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow.
• Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production.
• Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation.
• ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring.
• Deploy tools that empower individual teams to monitor their workloads.
• Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC.

What you bring to the table:

• Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads.
• GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD).
• Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong).
• Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate.
• Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS).
• Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow).
• Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse.
• At least an upper-intermediate level of spoken and written English.

It would be great if you also had:

• ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift.
• Automation Savvy: Experience with Ansible for cluster bootstrap and recovery.
• Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications.
• Modern Stack Exposure: Familiarity with Loki, Grafana, or managing ClickHouse at scale.

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Next.js for our front-end. GitLab is used as a version control tool and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day. You can check out our Engineering Rulebook to learn more.

You can also check out this Keynote to learn how we evolved Remote's architecture and organisation to support a fast pace. We explore domain boundaries and dependency management alongside worker separation. You will also hear about ownership driven observability.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, GitHub, Jenkins or similar).

Nice to have

• Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc.
• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer.
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our Recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser interview
6. Executive interview
7. Offer + Prior employment verification check

We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space.

Core Responsibilities:

• Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads.
• CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow.
• Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production.
• Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation.
• ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring.
• Deploy tools that empower individual teams to monitor their workloads.
• Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC.

What you bring to the table:

• Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads.
• GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD).
• Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong).
• Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate.
• Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS).
• Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow).
• Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse.
• At least an upper-intermediate level of spoken and written English.

It would be great if you also had:

• ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift.
• Automation Savvy: Experience with Ansible for cluster bootstrap and recovery.
• Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications.
• Modern Stack Exposure: Familiarity with Loki, Grafana, or managing ClickHouse at scale.