Software Engineering Jobs with Salary ≥ 80k

Summary: Candidates must have 8+ years of software engineering experience, including 3+ years managing teams building backend or platform services with production delivery responsibility. Required abilities include deep systems design experience, proven operational excellence in production environments, strong communication skills, and demonstrated success in people leadership and mentorship.

Skills: people leadership, technical systems thinking, backend services, platform modernization, reliability, observability, workflow orchestration, system health, incident response, cross-organizational influence, data-powered routing, performance management, scalable systems design, testability, resiliency, ai-powered insights

Summary: Candidates must have 10+ years of engineering experience, including 5+ years leading engineering managers or multiple teams, with experience scaling distributed systems in cloud-native environments like AWS. Proven ability to operate in regulated environments and a track record of raising engineering standards are essential.

Skills: software engineering leadership, platform scaling, credit products, distributed systems, cloud native environments, aws, microservices architectures, high availability systems, compliance, fintech, execution rigor, architectural discussions, technical decision making, talent recruitment, ownership culture, accountability

Summary: Candidates must possess over 10 years of engineering experience, including 5+ years leading managers or multiple teams, with a strong background in scaling distributed systems, microservices, and high-availability systems, preferably in AWS cloud environments. Proven ability to operate effectively in regulated environments and a track record of improving execution discipline are essential.

Skills: software engineering leadership, platform scaling, credit products, distributed systems, cloud native environments, aws, microservices architectures, high availability systems, compliance sensitive environments, fintech, roadmap definition, execution strategy, system design, talent recruitment, ownership culture, accountability

Summary: The ideal candidate must be an experienced Senior leader and operator proficient with modern tooling stacks and AI assistants, capable of driving deep integrations and balancing features, scope, and speed. Required competencies include strong team leadership, architectural skill, and effective use of AI coding tools for code generation and SDLC artifact synthesis.

Skills: team leadership, architectural skill, ai coding tool proficiency, scope simplification, code review, architectural designs, mentoring, python, django, javascript, claude code, mcps, data warehouses, sql, visualization libraries

Summary: Candidates must have advanced management experience scaling impact beyond a single team and strong, recent proficiency in hands-on C# development for meaningful technical contributions. Extensive experience with microservices architecture (Docker/Kubernetes) and developing large-scale, high-availability SaaS applications is required.

Skills: strategic execution, technical leadership, c#, code reviews, microservices, architecture, docker, kubernetes, saas, product management, mentoring, hiring, sprint ceremonies, data-driven decision-making, system design, distributed systems

Summary: Candidates must have 7+ years of software engineering experience with leadership responsibilities, including 1+ year as an engineering manager, and fluency in backend development. Required experience also includes architecting, building, launching, and maintaining consumer-scale products, along with strong cross-team communication skills.

Skills: software engineering leadership, backend development, system design, code quality, testing, availability, reliability, performance, product management partnership, cross-team communication, mentoring, architecture, transactional communications, sms, email, push notifications

Summary: Candidates must have over 15 years of progressive experience in laboratory informatics or large-scale enterprise software platforms supporting mission-critical, regulated environments, including demonstrated success leading organizations of 100+ people. Key requirements include deep knowledge of laboratory workflows and proven experience modernizing legacy or homegrown platforms through architectural transformation and strategic build-vs-buy decisions.

Skills: informatics strategy, platform modernization, software engineering, workflow orchestration, build-vs-buy decisions, scalability, regulatory compliance, operational excellence, architectural redesign, system validation, data integrity, leadership, mentoring, clia, cap, gxp

Summary: Candidates must possess 8+ years of experience in software, data, or platform engineering, including 3+ years managing engineering teams. Required expertise includes hands-on experience with modern data platforms such as cloud data lakes/lakehouses, distributed processing, streaming, and APIs, alongside strong platform engineering principles.

Skills: people leadership, platform ownership, technical strategy, data infrastructure, ai infrastructure, lakehouse, pipelines, feature services, ml enablement, observability, governance, scalability, security, cost efficiency, engineering judgment, platform engineering

Summary: Candidates need 2-3+ years of experience managing high-performing engineering teams, solid engineering fundamentals, and real-world experience building scalable distributed backend services. Experience in Fraud, Risk, or Financial systems, as well as building platform solutions, is considered a plus.

Skills: software engineering management, fraud detection, platform development, technical roadmap development, hiring, architecture review, coaching, okrs establishment, kpi measurement, engineering culture building, distributed backend services, cross functional collaboration, product management collaboration, risk systems, financial systems

Summary: Candidates need 2-3+ years of experience managing high-performing engineering teams and solid engineering fundamentals in building scalable distributed backend services. Experience in Fraud/Risk/Financial systems or platform solutions is a plus.

Skills: engineering management, fraud detection, risk management, financial systems, platform solutions, distributed backend services, technical roadmap development, hiring, technical bar setting, coaching, okrs establishment, kpi measurement, innovation, accountability, empathy, execution

Summary: Candidates must have at least three years of engineering management experience and a strong, hands-on technical background, particularly in Python, building scalable backend microservices and RESTful APIs using frameworks like Django or Flask. Deep expertise in AI/Agentic systems, including RAG pipelines and autonomous coding agents, alongside cloud platform experience (GCP/AWS), is essential.

Skills: python, backend microservices, restful apis, django, flask, pydantic, fastapi, context engineering, agentic architectures, rag, gcp, aws, vertex ai, test automation, devops, sre

Summary: Candidates must possess a Bachelor's degree in a related field along with 7+ years of software engineering experience, including at least 3 years in engineering management, demonstrating success managing multiple teams. Key requirements include proven ability to define technical vision, deep experience with cloud development on AWS, and strong stakeholder management skills.

Skills: typescript, react, net/c#, microsoft graph, officejs, aws, microservices, ci/cd, architecture, reliability, observability, stakeholder management, executive communication, entra

Summary: Candidates must possess a Bachelor's degree in a related field, 7+ years of software engineering experience including 3+ years in management, and demonstrated success managing multiple teams or 7+ engineers. Strong experience leading distributed, cloud-based product development and excellent executive communication skills are essential.

Skills: software engineering, engineering management, cloud-based systems, automation, ai, technical roadmap, mentoring, ruby on rails, c#, react, microservices, azure, aws, containerized deployments, ci/cd, stakeholder management

Summary: Candidates must possess over 8 years of experience in software, data, or platform engineering, including at least 3 years managing engineering teams. Essential technical experience includes modern data platforms such as cloud data lakes/lakehouses, distributed processing, streaming, and APIs, coupled with strong platform engineering principles.

Skills: people leadership, platform ownership, technical strategy, data infrastructure, ai infrastructure, lakehouse, feature services, ml enablement, observability, governance, cloud migration, cost optimization, incident management, career development, platform engineering principles, distributed processing

Summary: Candidates must possess a Bachelor's degree in a relevant field and extensive experience, including 10-12+ years in large-scale enterprise development and over 5 years leading software engineering teams, with deep knowledge of Java, SQL, and web technologies. Strong leadership, communication skills, and the ability to thrive in a fast-paced, innovative Agile environment are essential.

Skills: agile development, devops, continuous integration, java, sql, xml, html, css, javascript, jquery, object oriented programming, oracle, xsl, technical guidance, performance management, design concepts

Summary: Candidates need experience in technical education with knowledge of instructional design techniques and foundational software development knowledge, ideally having worked within code previously. A minimum of 5 years of related experience is required, or 3+ years with an advanced degree.

Skills: curriculum design, program management, project management, software development, content curation, instructional design, sme collaboration, curriculum roadmapping, assessment creation, customer discovery, vendor certification monitoring, audio production, video production

Summary: Candidates must possess a Bachelor’s Degree in CIS/CSE/MIS or equivalent experience, along with over 7 years of enterprise-level software development using the Microsoft technology stack. Strong leadership, decision-making, team management skills, and project experience with Scrum/Agile are essential personal attributes.

Skills: .net, c#, wcf, object-oriented design, solid, tdd, bdd, ddd, atdd, sql server, t-sql, agile, scrum, lean, visual studio 2010, soa

Summary: Candidates must possess a Bachelor's degree or equivalent experience, with a minimum of 6 years of professional experience, demonstrating strong proficiency in Node.js, JavaScript, and TypeScript. Required technical expertise includes experience with REST APIs, Git, CI/CD pipelines, AWS services, Terraform, and a solid understanding of secure coding practices.

Skills: node.js, javascript, typescript, rest apis, git, ci/cd pipelines, agile development, aws, terraform, frontend development, relational databases, secure coding practices, threat modeling, reactjs, event-driven workflows, root-cause analysis

Summary: A Bachelor's degree in IT or related field, or equivalent experience, is required, along with a minimum of 8 years in IT roles and 5 years in leadership/people management. Candidates must be eligible to work in the US without sponsorship and possess strong skills in leadership, communication, and managing large-scale IT transformations.

Skills: cloud migration, client migration, platform retirement, prior authorization, utilization management, infrastructure, software development, cybersecurity, people management, stakeholder management, budget management, financial planning, aws, pega, java, c#

Summary: Candidates must possess a Bachelor's degree or equivalent experience, with eight or more years in software engineering, including at least five years leading managers or large teams. Essential qualifications include experience delivering highly available, customer-facing technology platforms and a strong understanding of modern software design, cloud technologies, AI, and distributed systems.

Skills: software engineering leadership, voice systems, ai, ivr, conversational ai, system integrations, cloud solutions, security, reliability, performance, apis, distributed systems, project management, team leadership, stakeholder management, continuous improvement

Summary: Candidates must possess a Bachelor's degree in a related field or equivalent experience, including over 10 years in large-scale software product engineering and at least 2 years in software management experience. Proven ability to mentor, define strategy for scalability, communicate effectively across all levels, and manage workload to meet deadlines is essential.

Skills: team leadership, people development, mentoring, coaching, ci/cd, unit testing, functional testing, process improvement, product management collaboration, onboarding, training material development, engineering best practices, sdlc improvement, secure coding practices, succession planning, conflict resolution

Summary: Candidates need a minimum of a Bachelor’s Degree, at least 7 years in software development, and 5 years in people management, with preferred qualifications including a Master's degree and 10+ years of development experience. Experience in launching products from the ground up and utilizing Agile practices is also desired.

Skills: node.js, java, go, react, python, rest, json, nosql, relational databases, aws, cloud infrastructure, machine learning, big data, microservices, agile

Summary: Candidates must possess over 12 years of software development experience, including a strong foundation in distributed systems, cloud-native architectures, and data platforms, alongside a minimum of 5 years leading engineering teams. Expertise in a major cloud platform (AWS, Azure, GCP, OCI) and practical experience with state-of-the-art AI/ML technologies are essential.

Skills: software development, team leadership, distributed systems, cloud-native architectures, artificial intelligence, machine learning systems, data platforms, hiring, mentoring, sdks, apis, microservices, technical roadmap, engineering excellence, data governance, cloud platform expertise

Summary: Candidates must have 6+ years of related experience, including 4+ years managing diverse, geographically dispersed teams, and a Bachelor's degree in a relevant field. Essential qualifications include experience delivering data-intensive software products at scale, understanding of software engineering, statistics, and machine learning fundamentals, and experience with distributed cloud computing.

Skills: servant leadership, mentoring, coaching, product delivery, strategy definition, tactical decision making, process refinement, task planning, code reviews, on-call rotations, engineering practices, inference pipelines, cloud computing, change management, tech debt management, geospatial data

Summary: Candidates must have over 7 years of hands-on development experience with Java and Spring Boot, coupled with 3+ years of experience building and managing high-performance engineering teams. Strong expertise in event-driven architecture, GraphQL API design, AWS services, and microservice architecture is required.

Skills: ai, java, spring boot, graphql apis, event-driven architectures, microservices, aws, kubernetes, llm, mcp, agents, sql, nosql, docker, kafka, terraform

Summary: Candidates must possess at least four years of experience with DoD or IC remote sensing constellations, proficiency in Agile methodology, software engineering, and project management principles, along with experience leading technical teams. A mandatory active TS/SCI clearance and a Bachelor's degree in a STEM field are required.

Skills: remote sensing, software engineering, team leadership, agile methodology, project management, customer focus, technical specifications, r&d project delivery, full-stack development, python, ui/ux, api, database technologies, schedule management, agentic ai, ts/sci clearance

Summary: Candidates must possess over 10 years of software development experience, including 3+ years in management, with expertise in C#, .NET Core, Java, and REST API development, alongside cloud experience in Azure or AWS. Essential requirements include strong leadership, technical acumen, experience with TDD/Domain Driven Architecture, and the ability to embrace and evolve AI-enabled development practices.

Skills: c#, .net core, java, rest api, azure, aws, microservices, tdd, domain driven architecture, solid, dry, agile, safe, team leadership, api development, ai-enhanced development tools

Summary: Candidates must have 8+ years of relevant software engineering experience, including 5+ years as a people manager, with proven success delivering production software in complex or regulated environments like FinTech. Strong technical proficiency in PHP or Python, GraphQL, SQL, and TypeScript is required, alongside experience leading large-scale content management and backend systems.

Skills: software engineering, platform systems, team leadership, roadmap planning, execution management, technical decision making, mentoring, code quality, testing, graphql, php, python, sql, typescript, security best practices, scalability

Summary: Candidates must have 8+ years of relevant software engineering experience, including 5+ years as a people manager, with proven success delivering production software in complex, fast-paced, or regulated environments like FinTech. Strong technical foundations are required, including proficiency in PHP or Python, GraphQL, SQL, and TypeScript, alongside experience managing large-scale content management systems and backend systems.

Skills: software engineering, platform systems, team leadership, roadmap shaping, technical quality, mentoring, technical decisions, scalability, reliability, security, compliance, code quality, testing, documentation, graphql, typescript

Summary: Candidates must have a minimum of 12 years in software engineering, including 6+ years in leadership, with strong expertise in microservices, API-first design, event-driven architectures, and messaging systems like Pub/Sub or Kafka. Experience leading distributed engineering organizations and a strong balance of architectural depth and delivery accountability are essential.

Skills: software engineering, integration, technical leadership, platform engineering, service architecture, microservices, api-first design, event-driven systems, pub/sub, kafka, java, spring, web applications, delivery governance, performance engineering, cloud-native

Summary: Candidates must possess 4+ years of experience in data analytics and machine learning, supported by a strong background in statistical analysis, linear algebra, and modeling. Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL is required, along with experience in cloud platforms like Azure ML and MLOps frameworks.

Skills: machine learning, data analysis, python, sql, statistical analysis, linear algebra, feature extraction, azure machine learning, scikit-learn, pandas, numpy, mlops, xai, spark, hadoop, agile

Summary: Candidates must demonstrate leadership experience in IT Support, Digital Workplace, or Endpoint Engineering, with a proven ability to lead global or distributed technical teams. Deep hands-on knowledge of endpoint management tools like Intune, Autopilot, and JAMF, alongside strong operational understanding of Windows, macOS, and mobile ecosystems, is required.

Skills: people leadership, support services strategy, helpdesk operations, endpoint security, device management, incident management, patch management, vendor management, knowledge management, support automation, intune, autopilot, jamf, edr, soc 2 compliance, iso 27001 compliance

Summary: Candidates must have several years of professional software engineering experience, including over two years in a tech lead or leadership capacity, actively contributing to production code. Essential qualifications include hands-on experience shipping AI-enabled features, strong product intuition, ownership of the full development lifecycle, and comfort operating in ambiguity.

Skills: software engineering, tech lead, ai product development, production code, team leadership, product iteration, llm-based systems, product intuition, full development lifecycle, technical decision making, scalability, maintainability, mentoring, code reviews, design discussions, pragmatic technical decisions

Summary: Candidates must have 7+ years of software engineering experience, including 3 to 5+ years in engineering management, specifically within capital-conscious, high-growth settings. Success requires proven ownership of revenue-tied products, hands-on experience with cost-constrained AI systems, and strong product/financial intuition to make ROI-grounded tradeoffs.

Skills: software engineering management, ai product development, arr growth, capital efficiency, product delivery, cost management, scalability, ai infrastructure, architectural decisions, engineering roi, cycle times, financial awareness, design reviews, build vs. buy tradeoffs, inference, training

Summary: Candidates must possess extensive backend engineering experience, comfortable with Python/FastAPI, high-throughput real-time systems, and deployment on Google Cloud Platform (GCP). Strong communication, process orientation, detail orientation, and a QA mindset are essential for managing complex, unforgiving real-time bidding environments.

Skills: backend engineering, python, fastapi, real-time systems, google cloud platform, communication, process orientation, multitasking, detail orientation, qa mindset, api integration, data pipeline monitoring, technical partnership, high-throughput systems

Summary: Candidates need over 7 years in software engineering, emphasizing API development and distributed systems, along with more than 3 years managing engineering teams in an agile setting. Technical proficiency in streaming technologies, event-driven systems, and experience with observability patterns in microservices are essential.

Skills: api development, distributed systems, team management, agile environment, message brokers, streaming, asynchronous job processing, event driven systems, event stream processing, websockets, real-time applications, personalization engines, distributed tracing, microservices, observability, api design

Summary: Candidates must have 10–15 years of software engineering experience, including 4–7 years managing high-performing teams, with demonstrated ownership of systems requiring strict reliability, latency, and correctness constraints. Required domain experience includes pricing, fintech, lending, payments, marketplaces, or real-time decisioning systems, alongside strong system design skills.

Skills: backend engineering, team leadership, coaching, system ownership, technical strategy, architectural goals, production safety, observability, incident response, cross-functional collaboration, risk management, latency management, correctness constraints, system design, distributed systems, fintech

Summary: Candidates must possess 15+ years of progressive engineering and technology leadership experience, including leading organizations of 50+ engineers, with a Bachelor's degree in a related field. A deep technical background in areas like mobile, web platforms, distributed systems, or cloud architecture is required, along with proven success in operational excellence and managing hybrid engineering models.

Skills: leadership, strategy, architecture, scalability, reliability, performance, privacy, security, mobile engineering, web platforms, apis, cloud architecture, containerization, ci/cd, devops, agile/scrum

Summary: Candidates need a minimum of five to seven years of Software Engineering experience, including hands-on development of large-scale Web-based applications using the latest Microsoft technologies. Strong management skills for enterprise-level websites, coupled with expertise in modern technologies like React and cloud infrastructure, are required.

Skills: software engineering, web-based applications, project requirements, design, development, testing, documentation, training, team building, mentorship, performance reviews, cross-discipline collaboration, technical leadership, ci/cd, agile processes, risk management

Summary: Candidates must have 5+ years of engineering management experience, including leading managers or multiple teams, coupled with strong prior experience as a software, platform, or infrastructure engineer capable of deep technical engagement. Proven experience owning production infrastructure at scale, data-driven decision-making, and strong change agility are essential.

Skills: software engineering management, infrastructure management, cloud infrastructure, developer platforms, reliability engineering, security, ai/llm workloads, mlops, data pipelines, incident management, capacity planning, disaster recovery, ci/cd, infrastructure-as-code, cost management, talent development

Summary: Candidates must have 5+ years leading engineering teams and 8 to 11 years of professional software engineering experience, including leading consumer-facing teams and full-stack development with a Java backend. Required technical skills include Java with Spring Boot, system architecture, and basic cloud infrastructure understanding.

Skills: software design, software development, engineering leadership, software architecture, testing, ai technologies, data infrastructure, machine learning, java, spring boot, algorithmic thinking, data structures, restful apis, system architecture, aws, scrum

Summary: Candidates must have over 10 years of professional software development experience, including at least 3 years in management, and a history of successful continuous software releases using Agile methodologies like Scrum. A Bachelor's degree in Computer Science or Computer Engineering is required, along with working knowledge of technologies like Java, Python, SQL, Springboot, and enterprise architectural patterns.

Skills: software engineering management, agile development, scrum, java, python, sql, springboot, ai/sdlc understanding, client-server architecture, n-tier architecture, service oriented architectures, design patterns, data warehousing, mentoring, recruiting, onshore/offshore management

Summary: Candidates must have over 3 years of experience as an engineering manager and 5+ years as a software engineer, with proven success leading teams through rapid growth, ideally in a startup environment. Key requirements include the ability to set and execute strategy, make pragmatic technical decisions, and demonstrate excellent cross-functional collaboration skills.

Skills: engineering management, full stack engineering, roadmap definition, technical decision making, delivery ownership, recruiting, mentoring, career development, performance management, engineering practices, architecture, culture building, react, graphql, typescript, python

Summary: Candidates must have a minimum of 10+ years of software engineering experience, including 5 years managing software teams and multiple work streams, along with a Bachelor's or Master's degree in a related technical field. Required technical expertise includes REST APIs, Java/GoLang, datastores (Aurora, DynamoDB), container technologies (Docker/Kubernetes), and strong familiarity with agile processes and CI/CD.

Skills: people leadership, technical strategy, operational excellence, agile processes, continuous integration, test automation, problem solving, communication, rest apis, java, golang, aurora, dynamodb, docker, kubernetes, ci/cd pipelines

Summary: Candidates must reside in the United States and be willing to travel twice annually for retreats, requiring 8-10 years in software development and 6-8 years in people management. Required technical expertise spans modern frontend frameworks, C#/.NET Core backend development, advanced AWS cloud services, and expert knowledge of Agile practices and security standards.

Skills: javascript, html, css, angular, typescript, c#, .net core, orms, domain driven design, dependency injection, mysql, aws dynamodb, ci/cd, github actions, agile, owasp top 10

Summary: Candidates must have 8+ years in mobile engineering (Android/iOS) with at least 3 years in engineering management, possessing deep experience in at least one native stack and strong cross-platform understanding. A proven track record in leading platform modernization, strong written communication, and the ability to balance long-term architecture with short-term delivery are essential.

Skills: mobile platform strategy, ci/cd, performance optimization, observability, architectural evolution, react native, kotlin multiplatform, compose multiplatform, sdlc tooling, iot, feature development, technical judgment, cross-functional leadership, engineering excellence, system design, incident response

Summary: Candidates must have 8+ years in mobile engineering (Android/iOS) with at least 3 years in engineering management, possessing deep experience in at least one native stack and strong cross-platform understanding. A proven track record in leading platform modernization, strong written communication, and the ability to balance long-term architecture with short-term delivery are essential.

Skills: mobile platform strategy, ci/cd, performance optimization, observability, architectural evolution, react native, kotlin multiplatform, compose multiplatform, developer productivity, slos, feature development, system design, incident response, technical leadership, cross-functional leadership, engineering management

Summary: Candidates must have 15+ years of relevant experience in software and site reliability engineering, including a successful track record leading SRE, systems engineering, and full-stack engineering teams. The role requires comfort partnering across disciplines, excellent communication skills, and technical depth sufficient to understand full-stack code.

Skills: site reliability engineering, software engineering, reliability, availability, operational excellence, incident response, risk management, systems engineering, full-stack engineering, technical leadership, strategic leadership, service level standards, program management, hiring, talent retention, experimentation

Summary: Candidates must have 15+ years of relevant experience in software and site reliability engineering, including a successful track record leading SRE, systems engineering, and full-stack engineering teams. A keen technical mind comfortable with code, strong communication skills, and proven ability to establish and grow teams are essential.

Skills: software engineering, site reliability engineering, incident response, risk management, operational lifecycle programs, system resilience, systems engineering, full-stack engineering, technical leadership, strategic leadership, high availability, service level standards, program management, operational excellence, talent retention, ambiguity management

Summary: Candidates must have 10+ years of software engineering experience, including at least 3 years in technical leadership, with deep hands-on expertise in AWS cloud-native architecture and Infrastructure-as-Code using tools like Terraform or CDK. Demonstrated experience integrating AI/LLM tools into development workflows and a track record of driving measurable technical transformation are essential.

Skills: ai-assisted development, cloud-native architecture, infrastructure as code, aws, terraform, cdk, llm tools integration, developer productivity, prompt engineering, architecture design, containerization, serverless, observability, technical leadership, mentoring, hipaa compliance

Summary: Candidates must possess 8+ years of hands-on experience with technologies like Spark, PySpark, Teradata, and Databricks, along with proven ability to write complex SQL queries. Solid experience implementing data lake/warehouse solutions on Databricks and proficiency with Agile and DevOps tools are also required.

Skills: spark, pyspark, shell scripting, teradata, databricks, sql, ci/cd, aws, databricks workflows, agile, git, jenkins, artifactory, unix/linux, jira, confluence

Summary: Minimum qualifications require demonstrated experience in recruiting, managing technical teams, and performance management, along with 12+ years of software engineering experience, or a PhD plus 8 years, including technical management. Candidates must possess a BS or MS in Computer Science, Engineering, or a related field, or equivalent experience, including specific years managing managers and technical teams.

Skills: recruiting, managing technical teams, performance management, technical management, software engineering, technical strategies, innovation, collaboration, distributed systems

Summary: Candidates must have at least 3 years of people management experience and a strong understanding of agentic loop lifecycles and infrastructure supporting them. A deep background in API design and software engineering fundamentals, especially maintaining rigor in an AI-driven world, is required.

Skills: people management, agentic architectures, api design, llms, sql validation, tool-calling, reasoning loops, technical excellence, ci/cd, orchestration, developer tools, data engineering workflow, strategic collaboration, mcp servers, semantic layer