• Responsible for design and development of a large-scale application stack running on AWS. • Collaborate with product management and engineering teams to design and integrate software, conduct code reviews, and troubleshoot product issues. • Perform proof of concepts to identify best design options including usage of AWS services. • Research integration options for various SaaS/IaaS technologies, including APIs for user administration and incorporate this research in our application integration.

Company Description Pelotech helps enterprise clients leverage Kubernetes and other cloud technology to solve core business challenges. We help them deploy distributed, highly available, services. We help the worlds largest companies build globe spanning technology products and provide expert guidance on scaling technology solutions at all levels. In support of this ambition we: Cherish and champion values and practices that create trust, collaboration, and measured improvement; Work with folks that do the same. We are not a consultancy that talks at you, nor a "body shop" contract company without an outside perspective. We teach software acceleration by working alongside our customers. Job Description Join: We're looking for software engineers that want to write great code for real customers consistently and love to teach their team how to do the same. You are an experienced player-coach in creating amazing software teams, have proven technical chops in current CI/CD, immutable infrastructure, micros-service technologies. You: Can be the primary customer point of contact Are not phased by ambiguity and guide others through it Relentlessly learn new technology that improves the speed of which you can achieve your goals. Value empathy and strive to build solutions that teams can understand. Are effective at guiding and counseling your team's managers. You have: A passion in working full-stack, from coding cloud infrastructure to building distributed systems and front end web applications. A Passion for building products that are beautiful outside and inside – from their user experience to their robust and elegant design. Data and metrics-oriented mindset: you want your work to be measurable and impactful. Customer empathy: you understand your customers’ needs and requirements. Qualifications Must have: Strong skills in several programming languages and an understanding of when to use which. Technologies we use and teach: NodeJs Go Kafka Docker Kubernetes Drone Rancher AWS/GCP Additional Information We've been a remote team since before COVID though the current global situation is definitely limiting our ability to travel to beautiful places together.

Software Engineer (Full-stack) 1 big thing: Axios HQ makes internal comms work. Its mix of communication software, hands-on editorial services, comms leader community, and best practice resource center is built on years of data and research from newsrooms and universities. We help organizations around the world use it — and communicate more effectively with it — to boost staff transparency, engagement, and trust. Axios HQ 2025 Internal Communications Report Read customer reviews on G2 Visit AxiosHQ.com Watch our launch event Why it matters: You’ll design and ship LLM-powered features that change how teams communicate—building agentic tools, smarter workflows, and delightful UI that thousands rely on. You’ll work across the stack (Python/TypeScript/React) and shape our AI strategy alongside product and design. Go deeper: In this role, you will make an impact to Axios HQ through the following responsibilities: Build and evolve our flagship Axios HQ product end-to-end Ship clean, well-tested code and iterate quickly with product/design Design, deploy, and operate LLM/agent applications (RAG, semantic chunking) Integrate models via AWS Bedrock, Azure OpenAI, Vertex AI, etc. Deliver production-ready UIs and APIs (React + TypeScript, FastAPI/Django Rest Framework) Apply LLMOps best practices (versioning, evals, monitoring, cost control) The details: Ideal candidates will embody an entrepreneurial spirit and passion for Axios HQ’s mission and values - raise the bar, stay curious, be inclusive, always, and champion each other - and have the following skills/experience: 5+ years of software engineering, including 1–2 years building LLM/GenAI features Strong in Python and TypeScript; comfortable full-stack. Excels in applying AI-aided development practices in development workflows. Experience with LangChain (or similar) and vector DBs (FAISS/Pinecone/pgvector) Solid REST API chops (FastAPI/Flask) and modern frontend (React + TS) Familiar with AI evaluation (RAGAS/DeepEval/FMeval) and data pipelines Experience building data pipelines. Don’t forget: Axios HQ believes in fair and equitable pay. Base salary for this role is in the range of $145,000-$160,000 and is dependent on numerous factors, including but not limited to location, work experience, and skills. Health insurance (options include 100% paid for individuals, 75% for families) Fertility and family planning coverage Primary caregiver 12-week paid parental leave 401K, plus company match Tele-mental health services Generous vacation policy, plus company holidays Monthly work-from-home stipend Company equity A commitment to an open, inclusive, and diverse work culture Annual learning and development stipend Equal Opportunity Employer Statement Axios HQ is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, age, gender identity, gender expression, veteran status, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Axios HQ makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Upwave: The Brand Outcomes Measurement Platform Upwave is a leading measurement company entirely focused on measuring and optimizing upper funnel campaigns.. The world’s leading advertisers, agencies, and media partners trust Upwave’s robust, AI-driven platform to bring science to the top of the funnel. With Upwave, marketers maximize the effectiveness of brand spend. Upwave measures Brand Lift, validates Brand Reach, and surfaces Brand Optimization opportunities in one, dynamic platform with cross-channel brand measurement for CTV, Digital, Social, Linear, Addressable, Retail Media, Streaming Audio and more. We’re a profitable, growth-stage company backed by leading venture investors (Y Combinator, Uncork Capital, Bloomberg Beta, Initialized Capital, PivotNorth, Ridge Ventures, Industry Ventures, Conductive Ventures,) and leading AdTechfounders & CEOs. We’re a humble but ambitious team that takes its work seriously but never ourselves.  Come join us. As a Senior Software Engineer at Upwave, you’ll be a full-stack problem solver with a backend focus—building the APIs, data pipelines, and systems that power our brand measurement platform. Your work will process billions of ad impressions, manage complex data workflows, and deliver insights that inform marketing decisions for the world’s biggest brands. You’ll collaborate across engineering, product, and data science to ship high-impact features end-to-end, scale our platform for the next phase of growth, and help define the next generation of brand measurement. What you will do: Build AI-powered customer experiences — integrate LLMs and advanced causal inference techniques into production workflows that automatically generate data visualizations, synthesize campaign performance into natural language insights, and help enterprise customers understand and optimize their advertising through our AI analyst "Bayes." Design and build scalable backend systems —develop microservices and RESTful APIs that power the analytics platform behind the world’s top brand campaigns. Contribute across the stack — work from backend APIs to Python analytics services to React frontends, delivering complete features that combine sophisticated data analysis with intuitive user experiences. Engineer data pipelines at scale — design and operate systems that process massive volumes of ad and survey data with MySQL, DynamoDB, and AWS (S3, Lambda, EMR, Kinesis Firehose). Improve reliability and performance — deploy services on Kubernetes and AWS, automate deployments via CI/CD, monitor with DataDog and Sentry, and continuously raise the bar for operational excellence Collaborate deeply — work closely with Product and Data Science to productionize statistical models, integrate advanced analytics into customer-facing tools, and bring cutting-edge AI capabilities to enterprise customers. Deliver insights that move millions — enable brand lift analytics and real-time campaign insights by building reliable, high-throughput systems. Multi-million dollar advertising decisions hinge on our recommendations. About you: You’re an experienced engineer (5+ years) who thrives on solving complex problems across APIs, data systems, and distributed infrastructure. You care about clean architecture, reliable systems, and measurable customer impact. You’ve built powerful, intuitive, API-driven products for professional users.. You’re comfortable across the stack, with experience in RDBMS-backed backends using Spring Boot, Django, Rails, or Express, and single-page frontends built in React, Vue, or Angular. You understand and enjoy programming. You’re fluent in the modern landscape of UI frameworks, API and microservice architectures, databases, and cloud platforms—and know when to use the right tool for the job. You embrace modern AI-powered development tools to move faster and code smarter. You use technologies like Claude Code, Cursor, and GitHub CoPilot to automate routine work, explore ideas quickly, and focus your time on higher-value system design and innovation. You value structured software development practices—testing, documentation, CI/CD, and code review—and care about building maintainable systems that scale. You believe developers should operate what they build. You think about observability, cost, and reliability from day one, and design systems that are easy to deploy and maintain. You’ve built in the cloud and know both its power and pitfalls. You like turning ideas into tools that make real customers more effective. You collaborate closely with Product to design features that solve real-world problems and delight users. You mentor others, share knowledge freely, and understand that healthy human systems are the foundation of healthy technical systems.  Teammates look to you for guidance. You want to understand how things work and why. You care more about the best idea winning than whose idea it is. You take responsibility, move quickly to fix problems, and take pride in establishing areas of deep expertise in a fast-changing environment. You believe high-trust, inclusive teams outperform individuals. You communicate clearly and compassionately, and contribute to a culture where people enjoy working together. Bonus points: Have worked with modern backend ecosystems like Java/Kotlin/Groovy (Spring Boot or Grails) and know how to design APIs that scale elegantly. Are fluent with data systems such as MySQL, DynamoDB, and Presto, and understand the tradeoffs between relational and NoSQL storage. Have built cloud-native applications on AWS, especially using Kubernetes and Terraform for automation and scalability. Know your way around modern front-end frameworks like React/Redux and enjoy collaborating up and down the stack. Have startup DNA—you’re comfortable with ambiguity, iterate fast, and make pragmatic technical decisions. Bring experience from AdTech, MarTech, or measurement platforms, or are excited to learn how AI and large-scale data intersect in this space. Please note: Our interview process will require an in-person meeting. Why You’ll Like Working Here: Engineering-first company: Upwave’s success depends on high-velocity innovation, and we believe high velocity comes from high efficiency, not high effort. We set priorities rather than deadlines, we don’t crunch, we work reasonable hours, and engineers actually take vacations. Modern tech stack: Python analytics, Kotlin/Java APIs, event streaming (100k+ RPM), DynamoDB, Kubernetes, AWS, Terraform, LLM orchestration. Impact at scale: Your code processes billions of advertising events and directly influences multi-million dollar decisions by Fortune 500 brands. Autonomy and ownership: Our engineers lead projects from design through deployment and monitoring. Ambitious but humble culture: We take our work seriously but never ourselves. Upwavers collaborate hard and support each other generously. We screen for people who are both exceptionally talented and genuinely kind. Remote-first team: Our diverse team spans half the globe (but only one half, to ensure everyone can talk live when we need to). We balance synchronous core hours with flexibility  to create a work environment that enables both deep collaboration and deep work. Additional Information: The annual base salary range for this role is $150,000 - $175,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for the new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Upwave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.