Senior Full Stack Engineer (Node.Js/React.Js) Id24970

Detalhes da Vaga

Job Description This is a remote position and we are hiring candidates from the whole country.
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch.
We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!
:) What you will do Develop scalable frontend and backend systems using our tech stack; Collaborate across data and platform team to organize work and create predictability in an unpredictable space; Optimize search technologies like OpenSearch or Elasticsearch to enhance query performance; Deliver high-quality software solutions and compelling customer experiences; Solve complex technical challenges independently or collaboratively.
            Must haves 5+ years of experience building scalable frontend and backend systems; 2+ years of experience in a fast-paced, early-stage startup environment; Experience working on startups with 0-1 type products; Experience with design libraries such as Tailwind; Strong proficiency in Node.js, React / NextJS, GraphQL, D3.JS or similar frameworks and libraries; Skilled in developing unit tests using a variety of tools such as Jest, Cypress, Playwright ; Familiarity with Cube.js; Experience with AWS ; Knowledge in search technologies like OpenSearch or Elasticsearch, with expertise in indexing, search optimization, and query performance enhancement; Strong attention to detail and a passion for delivering high-quality software solutions; Strong problem-solving skills and the ability to address complex technical challenges; Excellent communication skills and the ability to collaborate effectively with cross-functional teams; Upper-intermediate English level.
Nice to haves Experience with Vercel, Postgres, Clickhouse, NestJS, Snowflake; Experience with Python and/or other strongly typed languages; Experience with databases such as Clickhouse, Postgres, DuckDB, or similar; Experience working at B2B SaaS tech companies, especially during hypergrowth; Familiarity with MLOps; Experience in managing Kubernetes clusters and workloads (AWS EKS preferred) using configuration as code.
The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Requirements 5+ years of experience building scalable frontend and backend systems; 2+ years of experience in a fast-paced, early-stage startup environment; Experience working on startups with 0-1 type products; Experience with design libraries such as Tailwind; Strong proficiency in Node.js, React / NextJS, GraphQL, D3.JS or similar frameworks and libraries; Skilled in developing unit tests using a variety of tools such as Jest, Cypress, Playwright; Familiarity with Cube.js; Experience with AWS; Knowledge in search technologies like OpenSearch or Elasticsearch, with expertise in indexing, search optimization, and query performance enhancement; Strong attention to detail and a passion for delivering high-quality software solutions; Strong problem-solving skills and the ability to address complex technical challenges; Excellent communication skills and the ability to collaborate effectively with cross-functional teams; Upper-intermediate English level.


Salário Nominal: A acordar

Fonte: Talent_Ppc

Função de trabalho:

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