Tech Lead
Posted 4 days ago
Job Viewed
Job Description
About the Role:
We are seeking a Tech Lead with a solid background in building scalable MERN stack applications. The ideal candidate brings hands-on experience with AI- assisted development tools and cloud platforms (Azure/AWS), and preferably has experience building low-code/no-code (LC/NC) products. You’ll be instrumental in enhancing our engineering efficiency and leading the mindset shift toward modern development approaches.
Key Responsibilities:
Design and develop robust applications using the MERN stack. Lead the adoption of AI-assisted tools (GitHub Copilot, CursorAI, CodeiumAI,Vercel, etc.) across teams. Drive architectural reviews and ensure scalability, security, and performance. Implement cloud-native solutions on Azure/AWS platforms. Guide and mentor team members; encourage best development practices with AI-first mindset Promote a culture of efficiency, innovation, and continuous improvement.
Requirements:
Minimum 5 years of MERN development experience ,preferably from scratch product development experience in fast paced start-up(s). Proven ability to architect and scale enterprise-grade applications. 1+ year hands-on with AI-assisted dev tools for building MVP and enhancing features for existing products. Strong experience with AWS and/or Azure cloud services. Effective communication and team leadership skills- should have led a team of developers A can-do attitude and passion for driving change.
Candidate must have start-up experience building scalable products from scratch 0-1 and then 1-10.
Candidates should not have more than 2-3 weeks of lead time to join us once offered.
Must have design and architecture exp.
Good to Have: • Experience building Low Code/No Code platforms. Exposure to AI/ML product development. Familiarity with CI/CD, DevOps, and microservices. Educational background from premier institutes (IITs, NITs, IIITs, BITS, etc.) is a strong plus.
Tech Lead
Posted today
Job Viewed
Job Description
About the Role:
We are seeking a Tech Lead with a solid background in building scalable MERN stack applications. The ideal candidate brings hands-on experience with AI- assisted development tools and cloud platforms (Azure/AWS), and preferably has experience building low-code/no-code (LC/NC) products. You’ll be instrumental in enhancing our engineering efficiency and leading the mindset shift toward modern development approaches.
Key Responsibilities:
Design and develop robust applications using the MERN stack. Lead the adoption of AI-assisted tools (GitHub Copilot, CursorAI, CodeiumAI,Vercel, etc.) across teams. Drive architectural reviews and ensure scalability, security, and performance. Implement cloud-native solutions on Azure/AWS platforms. Guide and mentor team members; encourage best development practices with AI-first mindset Promote a culture of efficiency, innovation, and continuous improvement.
Requirements:
Minimum 5 years of MERN development experience ,preferably from scratch product development experience in fast paced start-up(s). Proven ability to architect and scale enterprise-grade applications. 1+ year hands-on with AI-assisted dev tools for building MVP and enhancing features for existing products. Strong experience with AWS and/or Azure cloud services. Effective communication and team leadership skills- should have led a team of developers A can-do attitude and passion for driving change.
Candidate must have start-up experience building scalable products from scratch 0-1 and then 1-10.
Candidates should not have more than 2-3 weeks of lead time to join us once offered.
Must have design and architecture exp.
Good to Have: • Experience building Low Code/No Code platforms. Exposure to AI/ML product development. Familiarity with CI/CD, DevOps, and microservices. Educational background from premier institutes (IITs, NITs, IIITs, BITS, etc.) is a strong plus.
Tech lead
Posted today
Job Viewed
Job Description
Tech Lead Location: Remote (Brasília UTC-3 or Dubai GMT+3 preferred) | Team: Product Engineering Seniority: 3-6 yrs production experience | Reports to: CEO Stack: Python / Type Script / React + LLMs / Cloud-Native? About MundosWe're Mundos, the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally.We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities.While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact.We're seeking an experienced senior software engineer who thrives in high-velocity environments, designs complex scalable architectures, ships production-ready code across the full stack, and is eager to lead our team of developers? The MissionLead a squad of 2-4 Software Engineers to:Architect clean, evolvable systems—from high-level platform topology down to LLD and code patterns.Ship production-grade services spanning backend APIs, vector-search RAG pipelines, LLM inference systems, and polished React experiences.Mentor & Multiply—raise engineering standards, run design reviews, pair, coach, and unblock teammates.Own Reliability—non-negotiable SLIs/SLOs, observability, on-call rotation design, and post-mortems for AI services at scale.Drive Roadmaps—partner with Product & Venture leads to translate fuzzy business bets into executable backlogs.Elevate Dev Ex—CI/CD, Ia C, test automation, and docs that keep velocity high without chaos? What You’ll Do (Day-to-Day)System Design — Draft high-level and low-level designs for multi-tenant web services that hit tight latency targets; architect scalable AI service deployments; weigh build-vs-buy decisions for data stores and ML infrastructure; model event-driven workflows with message queues (Kafka, Rabbit MQ, etc.).End-to-End Development — Write and review production code across backend (Python/Type Script/Node/Go) and frontend (React); establish coding standards for AI service integration, enforce domain boundaries, and drive automated test coverage.AI/ML Infrastructure — Design and deploy LLM inference pipelines, implement model serving architectures, establish benchmarking frameworks for model performance evaluation, and optimize AI service latency and throughput at scale.Data & Caching — Design relational schemas, optimize queries, implement Redis (or similar) caching layers for AI workloads, and plan sharding/partitioning strategies as traffic grows beyond 100k DAU.Infrastructure & Dev Ops — Author Docker/Kubernetes artifacts and Terraform/CDK stacks; build CI/CD pipelines for ML model deployments; automate blue-green or canary deployments on AWS/GCP; define runbooks and alerting for AI services.Performance & Reliability — Instrument AI services, track SLIs/SLOs for model inference, run load tests on LLM endpoints, lead post-mortems, and continually improve latency, throughput, and availability of AI systems.Technical Leadership — Conduct weekly 1-on-1s, run design and code reviews, mentor engineers on AI system architecture, and align the squad with OKRs while fostering psychological safety and async excellence? Core Requirements5+ yrs building & scaling production systems (startups or Tier-1 tech).AI Systems Experience: Proven track record architecting and deploying AI services at scale, including LLM inference pipelines, model serving architectures, and ML infrastructure.LLM Expertise: Hands-on experience with LLM benchmarking, performance evaluation, and optimization of large language model deployments in production environments.Demonstrated system-level thinking—can white-board trade-offs across API, DB, cache, AI infrastructure, and cost.Polyglot backend strength—Python (Fast API, Django, or Flask) and Type Script/Node; React mastery on the front.Cloud-native & Kubernetes: Container orchestration with strong Kubernetes experience, CI/CD, Ia C (Terraform/CDK/Pulumi), observability stacks (Prometheus/Grafana, Open Telemetry).Ownership mindset: you design it, you ship it, you wake up if it breaks, you iterate until it sings? Bonus PointsPrior venture-builder or 0 → 1 startup experience—wearing many hats.Real-world Lang Graph agent-orchestration or autonomous workflow pipelines.MLOps expertise: Model versioning, A/B testing frameworks for AI models, automated retraining pipelines.Experience with Kafka streams, event-sourcing, or CQRS in production.Security by design (OWASP, Ia C policy enforcement, secret management).Published tech articles, OSS maintainer, or conference talks? Why Join MundosVenture Building DNA: Your code doesn't just ship features; it builds entire businesses that can scale independentlySmall remote team, huge canvas: your code lands in production within days, not quarters.Global Impact: Work on ventures that span multiple markets, cultures, and business modelsExponential Learning: Exposure to multiple ventures means accelerated growth across domains and technologiesCompetitive Compensation: USD salary, equity (ESOPs) in our venture ecosystem, flexible remote work, and a clearly defined growth trajectory? How to ApplySend the following information to :Résumé, Git Hub (or equivalent), and a short cover letterIn three sentences, describe a system you architected and shipped to production that scaled an order of magnitude without downtime.Include one link (PR, blog post, design doc excerpt, or talk) that showcases your system-design thinking. (People from an OSS background like repository maintainers will be our first preference)Incomplete submissions won’t be reviewed—attention to detail is part of the job.Join Mundos to engineer the AI-native ventures that tomorrow’s economy will run on. Let’s build what’s next—today.
Tech Lead
Posted 4 days ago
Job Viewed
Job Description
Location: Remote (Brasília UTC-3 or Dubai GMT+3 preferred) | Team: Product Engineering
Seniority: 3-6 yrs production experience | Reports to: CEO
Stack: Python / TypeScript / React + LLMs / Cloud-Native
About Mundos
We're Mundos , the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally.
We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities.
While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact.
We're seeking an experienced senior software engineer who thrives in high-velocity environments, designs complex scalable architectures, ships production-ready code across the full stack , and is eager to lead our team of developers.
The Mission
Lead a squad of 2-4 Software Engineers to:
Architect clean, evolvable systems—from high-level platform topology down to LLD and code patterns.
Ship production-grade services spanning backend APIs, vector-search RAG pipelines, LLM inference systems, and polished React experiences.
Mentor & Multiply —raise engineering standards, run design reviews, pair, coach, and unblock teammates.
Own Reliability —non-negotiable SLIs/SLOs, observability, on-call rotation design, and post-mortems for AI services at scale.
Drive Roadmaps —partner with Product & Venture leads to translate fuzzy business bets into executable backlogs.
Elevate DevEx —CI/CD, IaC, test automation, and docs that keep velocity high without chaos.
What You’ll Do (Day-to-Day)
System Design — Draft high-level and low-level designs for multi-tenant web services that hit tight latency targets; architect scalable AI service deployments; weigh build-vs-buy decisions for data stores and ML infrastructure; model event-driven workflows with message queues (Kafka, RabbitMQ, etc.).
End-to-End Development — Write and review production code across backend (Python/TypeScript/Node/Go) and frontend (React); establish coding standards for AI service integration, enforce domain boundaries, and drive automated test coverage.
AI/ML Infrastructure — Design and deploy LLM inference pipelines, implement model serving architectures, establish benchmarking frameworks for model performance evaluation, and optimize AI service latency and throughput at scale.
Data & Caching — Design relational schemas, optimize queries, implement Redis (or similar) caching layers for AI workloads, and plan sharding/partitioning strategies as traffic grows beyond 100k DAU.
Infrastructure & DevOps — Author Docker/Kubernetes artifacts and Terraform/CDK stacks; build CI/CD pipelines for ML model deployments; automate blue-green or canary deployments on AWS/GCP; define runbooks and alerting for AI services.
Performance & Reliability — Instrument AI services, track SLIs/SLOs for model inference, run load tests on LLM endpoints, lead post-mortems, and continually improve latency, throughput, and availability of AI systems.
Technical Leadership — Conduct weekly 1-on-1s, run design and code reviews, mentor engineers on AI system architecture, and align the squad with OKRs while fostering psychological safety and async excellence.
Core Requirements
5+ yrs building & scaling production systems (startups or Tier-1 tech).
AI Systems Experience : Proven track record architecting and deploying AI services at scale, including LLM inference pipelines, model serving architectures, and ML infrastructure.
LLM Expertise : Hands-on experience with LLM benchmarking, performance evaluation, and optimization of large language model deployments in production environments.
Demonstrated system-level thinking —can white-board trade-offs across API, DB, cache, AI infrastructure, and cost.
Polyglot backend strength—Python (FastAPI, Django, or Flask) and TypeScript/Node; React mastery on the front.
Cloud-native & Kubernetes : Container orchestration with strong Kubernetes experience, CI/CD, IaC (Terraform/CDK/Pulumi), observability stacks (Prometheus/Grafana, OpenTelemetry).
Ownership mindset : you design it, you ship it, you wake up if it breaks, you iterate until it sings.
Bonus Points
Prior venture-builder or 0 → 1 startup experience—wearing many hats.
Real-world LangGraph agent-orchestration or autonomous workflow pipelines.
MLOps expertise : Model versioning, A/B testing frameworks for AI models, automated retraining pipelines.
Experience with Kafka streams , event-sourcing , or CQRS in production.
Security by design (OWASP, IaC policy enforcement, secret management).
Published tech articles, OSS maintainer, or conference talks.
Why Join Mundos
Venture Building DNA: Your code doesn't just ship features; it builds entire businesses that can scale independently
Small remote team, huge canvas: your code lands in production within days, not quarters.
Global Impact: Work on ventures that span multiple markets, cultures, and business models
Exponential Learning: Exposure to multiple ventures means accelerated growth across domains and technologies
Competitive Compensation: USD salary, equity (ESOPs) in our venture ecosystem, flexible remote work, and a clearly defined growth trajectory
How to Apply
Send the following information to :
Résumé, GitHub (or equivalent), and a short cover letter
In three sentences , describe a system you architected and shipped to production that scaled an order of magnitude without downtime.
Include one link (PR, blog post, design doc excerpt, or talk) that showcases your system-design thinking. (People from an OSS background like repository maintainers will be our first preference)
Incomplete submissions won’t be reviewed —attention to detail is part of the job.
Join Mundos to engineer the AI-native ventures that tomorrow’s economy will run on. Let’s build what’s next—today.
Tech Lead
Posted 4 days ago
Job Viewed
Job Description
We are seeking a Tech Lead with a solid background in building scalable MERN stack applications. The ideal candidate brings hands-on experience with AI- assisted development tools and cloud platforms (Azure/AWS), and preferably has experience building low-code/no-code (LC/NC) products. You’ll be instrumental in enhancing our engineering efficiency and leading the mindset shift toward modern development approaches.
Key Responsibilities:
Design and develop robust applications using the MERN stack. Lead the adoption of AI-assisted tools (GitHub Copilot, CursorAI, CodeiumAI,Vercel, etc.) across teams. Drive architectural reviews and ensure scalability, security, and performance. Implement cloud-native solutions on Azure/AWS platforms. Guide and mentor team members; encourage best development practices with AI-first mindset Promote a culture of efficiency, innovation, and continuous improvement.
Requirements:
Minimum 5 years of MERN development experience ,preferably from scratch product development experience in fast paced start-up(s). Proven ability to architect and scale enterprise-grade applications. 1+ year hands-on with AI-assisted dev tools for building MVP and enhancing features for existing products. Strong experience with AWS and/or Azure cloud services. Effective communication and team leadership skills- should have led a team of developers A can-do attitude and passion for driving change.
Candidate must have start-up experience building scalable products from scratch 0-1 and then 1-10.
Candidates should not have more than 2-3 weeks of lead time to join us once offered.
Must have design and architecture exp.
Good to Have: • Experience building Low Code/No Code platforms. Exposure to AI/ML product development. Familiarity with CI/CD, DevOps, and microservices. Educational background from premier institutes (IITs, NITs, IIITs, BITS, etc.) is a strong plus.
Tech Lead
Posted today
Job Viewed
Job Description
Location: Remote (Brasília UTC-3 or Dubai GMT+3 preferred) | Team: Product Engineering
Seniority: 3-6 yrs production experience | Reports to: CEO
Stack: Python / TypeScript / React + LLMs / Cloud-Native
We're Mundos , the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally.
We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities.
While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact.
We're seeking an experienced senior software engineer who thrives in high-velocity environments, designs complex scalable architectures, ships production-ready code across the full stack , and is eager to lead our team of developers.
Lead a squad of 2-4 Software Engineers to:
- Architect clean, evolvable systems—from high-level platform topology down to LLD and code patterns.
- Ship production-grade services spanning backend APIs, vector-search RAG pipelines, LLM inference systems, and polished React experiences.
- Mentor & Multiply —raise engineering standards, run design reviews, pair, coach, and unblock teammates.
- Own Reliability —non-negotiable SLIs/SLOs, observability, on-call rotation design, and post-mortems for AI services at scale.
- Drive Roadmaps —partner with Product & Venture leads to translate fuzzy business bets into executable backlogs.
- Elevate DevEx —CI/CD, IaC, test automation, and docs that keep velocity high without chaos.
Tech Lead
Posted today
Job Viewed
Job Description
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.Present in India since 1953, Thales is headquartered in Noida, Uttar Pradesh, and has operational offices and sites spread across Bengaluru, Delhi, Gurugram, Hyderabad, Mumbai, Pune among others. Over 1800 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India's growth story by sharing its technologies and expertise in Defence, Transport, Aerospace and Digital Identity and Security markets.We're looking for a Experienced Test Automation Engineer to help take our automated testing capabilities to the next level.
Responsibilities:
- Plan, design and execute manual tests as a step towards automation.
- Plan, design, develop and execute Java-based automation tests for functional, acceptance, system, performance and penetration testing
- Write maintain, and improve automation tests for frontend, backend, and API's
- Demonstrate a high ability to deeply understand complex products, anticipate potential customer use cases, and design comprehensive tests to ensure these scenarios are thoroughly validated.
- Develop, extend, and maintain test automation frameworks such as TestNG, JUnit, or Cucumber, ensuring scalability and reusability
- Create test plans and perform manual testing
- Collaborate with cross-functional teams to define, design, and ship new features
- Collaborate with team members to enable continuous testing and delivery
- Drive the adoption of continuous testing and delivery practices within the team, integrating automated tests with CI/CD pipelines using tools like Jenkins or Github action
- Stay updated on industry trends, emerging technologies, and best practices to enhance your skills and contribute to the team's success
Qualifications:
- B.Sc. in Computer Science or Software Engineering
- At least 5 years experience as a Test Automation engineer
- At least 3 years experience programming in Java
- Deep understanding of test automation frameworks such as TestNG, JUnit, or Cucumber, and the ability to build and extend them
- Proven experience in designing and maintaining Selenium Grid for parallel test execution
- Experience in manual testing and building test plans
- Experience with deployment cycle and tools like Jenkins, Github action,etc.
- Experience working with DB, writing SQL queries, and/or NoSQL DBs
- Experience with Linux scripting and fundamentals
- Solid understanding of Cloud technologies (AWS, Azure) - an advantage
- Attention to details, Strong analytical skills with the ability to solve complex problems under tight deadlines. Excellent time management and multi-tasking skills
- Highly self-motivated person, fast learner and independent
- 'Can do' attitude with strong interpersonal and communication skills
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
Skills Required
Java, Cucumber
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Tech Lead
Posted today
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Tech Lead
Posted 2 days ago
Job Viewed
Job Description
Location: Remote (Brasília UTC-3 or Dubai GMT+3 preferred) | Team: Product Engineering
Seniority: 3-6 yrs production experience | Reports to: CEO
Stack: Python / TypeScript / React + LLMs / Cloud-Native
We're Mundos , the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally.
We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities.
While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact.
We're seeking an experienced senior software engineer who thrives in high-velocity environments, designs complex scalable architectures, ships production-ready code across the full stack , and is eager to lead our team of developers.
Lead a squad of 2-4 Software Engineers to:
- Architect clean, evolvable systems—from high-level platform topology down to LLD and code patterns.
- Ship production-grade services spanning backend APIs, vector-search RAG pipelines, LLM inference systems, and polished React experiences.
- Mentor & Multiply —raise engineering standards, run design reviews, pair, coach, and unblock teammates.
- Own Reliability —non-negotiable SLIs/SLOs, observability, on-call rotation design, and post-mortems for AI services at scale.
- Drive Roadmaps —partner with Product & Venture leads to translate fuzzy business bets into executable backlogs.
- Elevate DevEx —CI/CD, IaC, test automation, and docs that keep velocity high without chaos.
Tech Lead
Posted 2 days ago
Job Viewed
Job Description
Location: Remote (Brasília UTC-3 or Dubai GMT+3 preferred) | Team: Product Engineering
Seniority: 3-6 yrs production experience | Reports to: CEO
Stack: Python / TypeScript / React + LLMs / Cloud-Native
We're Mundos , the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally.
We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities.
While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact.
We're seeking an experienced senior software engineer who thrives in high-velocity environments, designs complex scalable architectures, ships production-ready code across the full stack , and is eager to lead our team of developers.
Lead a squad of 2-4 Software Engineers to:
- Architect clean, evolvable systems—from high-level platform topology down to LLD and code patterns.
- Ship production-grade services spanning backend APIs, vector-search RAG pipelines, LLM inference systems, and polished React experiences.
- Mentor & Multiply —raise engineering standards, run design reviews, pair, coach, and unblock teammates.
- Own Reliability —non-negotiable SLIs/SLOs, observability, on-call rotation design, and post-mortems for AI services at scale.
- Drive Roadmaps —partner with Product & Venture leads to translate fuzzy business bets into executable backlogs.
- Elevate DevEx —CI/CD, IaC, test automation, and docs that keep velocity high without chaos.