Offerte di Lavoro

Codice posizione: 2026-142-XX-JSFE Luogo di lavoro: remoto Inizio: Immediato Retribuzione indicativa: Commisurata al livello di esperienza. Competenze richieste: IT Partner Italia ricerca candidati con il seguente profilo professionale: Mobile Cross-Platform Developer . Per importante progetto in ambito sviluppo software mobile multipiattaforma, siamo alla ricerca di uno sviluppatore Middle-Senior con esperienza nella realizzazione di applicazioni moderne, performanti e orientate alla sincronizzazione dati multi-device. La risorsa entrerà a far parte di un team tecnico altamente specializzato e si occuperà dello sviluppo e manutenzione di applicazioni cross-platform con stack tecnologico moderno basato su Rust e React. Requisiti tecnici richiesti: - Esperienza nello sviluppo di applicazioni mobile e/o cross-platform - Conoscenza di Tauri v2 per la gestione del backend nativo in Rust - Esperienza con React + Vite - Ottima conoscenza di TypeScript - Esperienza nell'utilizzo di SQLite - Familiarità con meccanismi di cifratura dati tramite OpenSSL Esperienza nella gestione di: - Sincronizzazione dati tra più dispositivi - Multi-access - Persistenza locale/offline-first Nice to have: - Esperienza con architetture offline-first - Conoscenza di sistemi di sincronizzazione realtime - Esperienza in ambito cybersecurity o data protection - Familiarità con ambienti Agile/Scrum - Seniority middle-senior Si prega di inviare il CV dettagliato in formato europeo all'indirizzo indicando il codice posizione 2026-142-XX-JSFE ed autorizzando il trattamento dei dati personali ai sensi del D. Lgs. 196/2003. L'offerta è rivolta a candidati di entrambi i sessi nel rispetto delle norme sulle parità di trattamento in materia di occupazione e di condizioni di lavoro (D.Lgs. 216/03).

Join the growing team at LOCALiQ Direct, the Direct Mail channel of LOCALiQ. As a Direct Mail Subject Matter Expert (SME), you will help support prominent Regional and National brands with their Direct Mail initiatives. This position is focused on Project Management, helping to ensure that our clients' campaigns are executed properly, on-time and efficiently. Campaigns will be followed up with data and analytics to help inform strategies for the future.

The candidate must possess strong interpersonal skills and be an effective communicator (both verbal and written). The Direct Mail SME will maintain regular contact with Sales Associates and Clients, but will not be cold-calling, prospecting or given new sales quotas. The candidate should be proficient with Microsoft Excel, PowerPoint and Word. In addition, this individual should be detail oriented and possess the capacity to manage several projects at one time. Advertising/Direct Mail sales or buying experience is preferred.

Qualifications:

• Project Management Skillset
• Advertising Sales Experience
• Proficient in Microsoft Office (Excel, Word, PowerPoint)
• Direct Mail Experience preferred
• Ability to work through data, build strategies, etc.
• Professional, Organized with attention to detail
• Build trustworthy relationships with existing customers

About the Role:
Infosys Consulting's Oil & Gas Practice is looking for an experienced Digital Consultant with Upstream O & G sector experience. As a Principal Consultant - Project Management, you are responsible for working with senior business/IT stakeholders to deliver complex business/IT projects or programs.

RESPONSIBILITIES:

• Leverage knowledge of project management processes, such as Waterfall and Agile methodologies to deliver projects
• Uncover business requirements, process improvements, and insights, then translate them into actionable outcomes
• Facilitate discussions with the client to elaborate on the areas of proposed improvements
• Define the problem concisely and hypothesize the proposed solution
• Perform quantitative and qualitative analysis to drive the proposed solution
• Consolidate the findings from the analysis and present solutions to the client
• Develop and present a plan to implement the recommended changes
• Ensure projects get delivered on time within the stipulated scope and budget
• Lead the initiation and planning of a project and ensure technical feasibility
• Develop a detailed plan to monitor and track the progress of the project
• Coordinate with internal and external parties for the flawless execution of projects
• Perform risk management analysis and report/escalate to stakeholders
• Manage the software development projects and facilitate sprint releases.
• Manage projects and programs with a focus on achieving results with concrete and actionable ROI.

• Has a solid experience in project/program(s) management of Oil & Gas projects
• Is a self-directed and an independent contributor to the team, as well as works seamlessly with the team
• Has a strong understanding of the latest developments in Digital space for the Oil & Gas sector
• Has a deep knowledge in at least one of the Oil & Gas process areas such as exploration, development, production, and facilities, midstream, downstream, and chemicals
• Has a solid experience in Project Management processes areas, project lifecycle management, and advanced skills in using Agile tools such as MS Project, ADO, JIRA, etc.
• Has a solid experience, advanced skill in working knowledge of the Microsoft Suite, specifically Excel and PowerPoint, Visio
• Is certified in PMP/PRINCE2/CSM/SAFe
• Has a bachelor's degree or a foreign equivalent from an accredited institution
• Is willing to travel 4 days a week to multiple local, state and national client locations
• U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time
• Has the desire to work as part of a cross-cultural team, including flexibility to support multiple time zones
• At least 10+ years of industry work experience, and 4+ years of relevant work experience

• Able to grasp new concepts and effectively produce results
• Able to build/manage relationships at all stakeholder levels and have an executive presence
• Able to lead multidisciplinary teams, be an example, actively mentor others, and steer the team towards delivery excellence
• Able to establish structure in an ambiguous situation and manage intensive workloads with little or no assistance
• Possesses exceptional problem-solving skills and has a growth mindset
• Able to demonstrate core consulting skills such as conflict Mgmt. Flexible, Negotiation, workstream mgmt., adaptive, assertive, strong work ethic, research, analysis, and so on
• Able to meaningfully contribute to firm initiatives such as knowledge-building, recruiting, developing offerings, thought leadership, business development, and so on
• Has an understanding of Cloud (AWS, GCP, or Azure) capabilities
• Possesses exceptional written and verbal communication, facilitation, and presentation skills .
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

This is a remote role for candidates located in Campinas (Brazil)

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

You're measured by impact, not by lines of code merged. When an agent can ship something safely, your job is to make sure it's done right and the metric moves. When the work calls for careful, hand-written code in a sensitive area, you write it yourself.

What makes this role exciting:

• You ship end-to-end. From problem-framing through production to the post-launch metric review — you see the whole arc and own the result with your team.
• You work as a true product partner. You sit at the table with PM and design, bringing engineering judgment to product calls and product sense to engineering calls.
• You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers.
• You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome.

What You'll Own

• The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong.
• Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase.
• Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM.
• The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2–4 weeks post-launch and share the "did it work" answer.
• A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar.

Problems to Solve

Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest?

Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome?

Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2–4 weeks after launch?

What Success Looks Like (Year 1)

• Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved their metric (with the post-launch review to prove it).
• Agent workflow that travels — The prompts, evals, and review loop you built are picked up by peers on other initiatives.
• Faster cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter.
• Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review.
• Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use.

Requirements

Who You Are

• AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself.
• Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked.
• Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer.
• A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls.
• Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move.
• A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews.
• Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both.

Good to Know

• An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it.
• A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them.
• Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high.
• Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week.

Tech You'll Touch

• AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling
• Backend — PHP/Laravel
• Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile)
• Data — Redshift, dbt, Segment, Airflow
• Infra — AWS, Datadog, Sentry, GitHub Actions
• Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira

You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.

Benefits

• Competitive salary of USD $80,000–$100,000 annual base
• Work from anywhere
• High ownership and autonomy
• Fast-moving team that loves to build, learn, and grow

This is a remote role for candidates located in São Paulo.

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

You're measured by impact, not by lines of code merged. When an agent can ship something safely, your job is to make sure it's done right and the metric moves. When the work calls for careful, hand-written code in a sensitive area, you write it yourself.

What makes this role exciting:

• You ship end-to-end. From problem-framing through production to the post-launch metric review — you see the whole arc and own the result with your team.
• You work as a true product partner. You sit at the table with PM and design, bringing engineering judgment to product calls and product sense to engineering calls.
• You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers.
• You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome.

What You'll Own

• The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong.
• Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase.
• Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM.
• The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2–4 weeks post-launch and share the "did it work" answer.
• A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar.

Problems to Solve

Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest?

Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome?

Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2–4 weeks after launch?

What Success Looks Like (Year 1)

• Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved their metric (with the post-launch review to prove it).
• Agent workflow that travels — The prompts, evals, and review loop you built are picked up by peers on other initiatives.
• Faster cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter.
• Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review.
• Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use.

Requirements

Who You Are

• AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself.
• Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked.
• Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer.
• A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls.
• Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move.
• A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews.
• Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both.

Good to Know

• An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it.
• A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them.
• Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high.
• Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week.

Tech You'll Touch

• AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling
• Backend — PHP/Laravel
• Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile)
• Data — Redshift, dbt, Segment, Airflow
• Infra — AWS, Datadog, Sentry, GitHub Actions
• Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira

You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.

Benefits

• Competitive salary of USD $80,000–$100,000 annual base
• Work from anywhere
• High ownership and autonomy
• Fast-moving team that loves to build, learn, and grow

This is a remote role for candidates located in Porto Alegre, Brazil. 

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

You're measured by impact, not by lines of code merged. When an agent can ship something safely, your job is to make sure it's done right and the metric moves. When the work calls for careful, hand-written code in a sensitive area, you write it yourself.

What makes this role exciting:

• You ship end-to-end. From problem-framing through production to the post-launch metric review — you see the whole arc and own the result with your team.
• You work as a true product partner. You sit at the table with PM and design, bringing engineering judgment to product calls and product sense to engineering calls.
• You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers.
• You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome.

What You'll Own

• The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong.
• Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase.
• Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM.
• The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2–4 weeks post-launch and share the "did it work" answer.
• A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar.

Problems to Solve

Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest?

Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome?

Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2–4 weeks after launch?

What Success Looks Like (Year 1)

• Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved their metric (with the post-launch review to prove it).
• Agent workflow that travels — The prompts, evals, and review loop you built are picked up by peers on other initiatives.
• Faster cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter.
• Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review.
• Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use.

Requirements

Who You Are

• AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself.
• Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked.
• Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer.
• A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls.
• Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move.
• A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews.
• Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both.

Good to Know

• An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it.
• A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them.
• Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high.
• Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week.

Tech You'll Touch

• AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling
• Backend — PHP/Laravel
• Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile)
• Data — Redshift, dbt, Segment, Airflow
• Infra — AWS, Datadog, Sentry, GitHub Actions
• Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira

You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.

Benefits

• Competitive salary of USD $80,000–$100,000 annual base
• Work from anywhere
• High ownership and autonomy
• Fast-moving team that loves to build, learn, and grow

This is a remote role for candidates located in Florianópolis, Brazil

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

You're measured by impact, not by lines of code merged. When an agent can ship something safely, your job is to make sure it's done right and the metric moves. When the work calls for careful, hand-written code in a sensitive area, you write it yourself.

What makes this role exciting:

• You ship end-to-end. From problem-framing through production to the post-launch metric review — you see the whole arc and own the result with your team.
• You work as a true product partner. You sit at the table with PM and design, bringing engineering judgment to product calls and product sense to engineering calls.
• You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers.
• You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome.

What You'll Own

• The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong.
• Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase.
• Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM.
• The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2–4 weeks post-launch and share the "did it work" answer.
• A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar.

Problems to Solve

Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest?

Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome?

Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2–4 weeks after launch?

What Success Looks Like (Year 1)

• Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved their metric (with the post-launch review to prove it).
• Agent workflow that travels — The prompts, evals, and review loop you built are picked up by peers on other initiatives.
• Faster cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter.
• Quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped through your review.
• Visible leverage — Peers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use.

Requirements

Who You Are

• AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship today — daily, on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and you know when to let the agent run versus write it yourself.
• Operating at a lead level. Whatever your current title, you've been the person making the call, shipping the hard thing, and standing behind whether it worked.
• Outcome-driven. You measure your week in "did the metric move" and "did the experience get better." You read the post-launch dashboard and own the answer.
• A strong horizontal partner. You hold your own with a strong PM and designer, and you collaborate well with engineering peers in a shared codebase. You bring engineering judgment to product calls and product judgment to engineering calls.
• Decisive and documented. You make architecture, data-model, and rollout calls, write them down, get fast input, and move.
• A force multiplier. Your impact compounds beyond your own initiative because you leave reusable artifacts behind — agent workflows, evals, runbooks, post-launch reviews.
• Customer- and pro-minded. This is a real marketplace with real people on both sides, and you care about the outcomes for both.

Good to Know

• An individual-contributor role with room to grow. People management sits with the EM — but the path into management is an open door for those who want it.
• A product-engineering role, end-to-end. You ship features that move metrics; platform and architecture work happen inside the initiative when the outcome needs them.
• Hands-on, with a high quality bar. Agents handle much of the implementation; you bring the judgment, design, safety, and accountability. The bar is high.
• Shipping to a live marketplace. With $100M+ in bookings, customers and pros use what you ship within the same week.

Tech You'll Touch

• AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling
• Backend — PHP/Laravel
• Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile)
• Data — Redshift, dbt, Segment, Airflow
• Infra — AWS, Datadog, Sentry, GitHub Actions
• Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira

You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.

Benefits

• Competitive salary of USD $80,000–$100,000 annual base
• Work from anywhere
• High ownership and autonomy
• Fast-moving team that loves to build, learn, and grow

Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 60,000 women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women.

The Opportunity

We're looking for a Software Engineer to help build features that directly impact how women access and experience healthcare. You'll be developing and shipping functionality across our event-driven platform—from patient-facing applications and AI-powered health tools to integrations with healthcare systems. Working alongside experienced engineers, you'll contribute to building scalable systems while growing your skills in distributed architecture, healthcare technology, and best practices. This is an opportunity to write meaningful code, collaborate with cross-functional teams, and make a tangible difference in the lives of hundreds of thousands of women.

Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed.

Your Impact

• Build and ship features across the full stack that enhance patient experience and enable personalized care delivery

• Contribute to the development of event-driven systems, including AI/ML-powered health guidance tools and healthcare integrations

• Write clean, maintainable code following established engineering standards and best practices

• Collaborate with product, design, clinical, and data teams to understand requirements and deliver solutions that meet user needs

• Participate in code reviews, providing and receiving constructive feedback to maintain code quality

• Support the reliability and performance of production systems through monitoring, debugging, and incremental improvements

Required Qualifications

• 3-10 years of software engineering experience building and shipping production applications

• Strong programming skills in modern languages such as Python, TypeScript, JavaScript, or similar

• Experience with full-stack development, including frontend frameworks (React, Next.js, or similar) and backend services

• Understanding of RESTful APIs, databases (SQL and/or NoSQL), and cloud platforms (AWS preferred)

• Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders

• Self-motivated with a growth mindset and eagerness to learn new technologies and domains

Preferred Qualifications

• Experience with event-driven architectures, message queues, or stream processing

• Exposure to healthcare technology, HIPAA compliance requirements, or regulated industries

• Familiarity with Next.js, TypeScript, or AWS services

• Prior experience at a startup or fast-paced environment

What Allara Offers

Compensation & Career Growth

• $150,000 - $175,000 with opportunities for advancement

• Equity

• Professional development & employee learning programs

Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks.

Work Environment & Flexibility

• 3-day hybrid in NYC

• Unlimited PTO & 11 company holidays

Health & Wellness

• Medical, dental, and vision benefits

• Health Savings Account (HSA) & Flexible Spending Account (FSA)

• Long- and short-term disability coverage

• Annual employee wellness stipend

Family & Future Planning

• 401(k) plan

• Parental leave & family planning support benefits

Additional Perks

• Company-issued laptop

• Annual work-from-home stipend

• Commuter benefits (if applicable)

• A collaborative, mission-driven culture focused on improving patient care

At Allara, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Originally posted on Himalayas

About the team & opportunity

What’s Calendly’s Monetization team all about anyway?

Calendly’s Monetization team builds the systems that support how users manage subscriptions, billing, and payments. As our platform grows, these systems become even more essential to the user experience and the success of our business. We are looking for:

• A highly technical, talented, and humble human with a deep ownership mindset – you embody the “I’m not done, until we are done” spirit
• A collaborative team member who models technical leadership and is committed to elevating their team
• A team member who is not only open to diverse perspectives and approaches, but someone who actively seeks them out

You will report to the Senior Engineering Manager of our Monetization team in our Growth organization, and your responsibilities will include:

• Owning the creation, execution, and maintenance of one or more entire services or functional areas and function as an SME for them
• Identifying and navigating cross-team dependencies
• Building and supporting applications in a cloud ecosystem

A day in the life of a Senior Full Stack Engineer at Calendly

• Design, build, and operate services and APIs for contacts, companies, syncing third party data sources, deduplication, enrichment, and search - prioritizing reliability, performance, and maintainability.
• Partner with Product and Design to shape requirements, sequence milestones, and deliver incremental value that supports our customers..
• Contribute to our data model and storage strategies for people and related objects, ensuring consistency, privacy, and scalability.
• Improve platform resilience with robust observability, fault-tolerant patterns, and production readiness; participate in on-call to support business critical services.
• Collaborate with adjacent squads to evolve architecture and shared components; participate in code reviews and provide mentorship to peers.
• If you have React/TypeScript experience, contribute to end to end delivery by partnering on UI contracts and occasionally implementing UI that integrates with your services.

On a typical day, you will be working on:

• Design, build and maintain internal tools, integrations and in product features that enable Sales, Marketing and Customer Success teams to operate efficiently and scale.
• Partner closely with cross functional stakeholders to identify pain points, define requirements, and deliver high impact, user centric solutions.
• Own projects end to end, from discovery and system design through implementation, testing, deployment and ongoing iteration.
• Ensure reliability, performance and scalability of systems while continuously improving developer workflows and internal user experience.

What do we need from you?

• 7-10+ years of professional software development experience, including owning production services at scale in a SaaS environment.
• Strong proficiency in backend development, building services, APIs, and data-intensive backend workflows. Must-have.
• Experience designing for scalability, reliability and observability in cloud environments (GCP preferred) with container orchestration (Kubernetes).
• Experience with service oriented architectures and modernizing or decomposing legacy systems to services where appropriate.
• Proficient with relational databases (PostgreSQL preferred) and data modeling for complex domains.
• Bias for clean, maintainable code, thoughtful testing and incremental delivery; strong collaboration and communication skills.

Nice to have:

• Frontend experience with React and TypeScript or a strong interest in partnering closely on UI contracts and end-to-end delivery.
• Experience with microfrontends, Node services, Rails ecosystems, and event-driven architectures.

Other requirements:

• Availability to participate in an on-call rotation for critical services.
• Authorized to work lawfully in the United States of America, as Calendly does not engage in immigration sponsorship at this time.

Originally posted on Himalayas

🌟Join KEYRUS and transform the future with us! 🌟

Who are we?

At Keyrus, we are passionate about innovation and technology. We are a French company with over 28 years of experience, present in 26 countries and with more than 3,500 consultants worldwide. In Colombia, we have been leading solutions in digital experience and data intelligence for 8 years, helping companies evolve in the digital age.

🌍Do you like dynamic and challenging environments?

Keyrus is looking for aSnowflake Developerwith hands-on experience in Snowflake, SQL, and Python.

This role is a great fit for someone who enjoys building and improving data solutions, iscurious and motivated to keep learning, and is looking to continue growing in Snowflake and modern cloud data platforms. We value professionals who aredetail-oriented, care aboutdata quality and performance, and feel comfortable collaborating with others in a team environment.

We’re looking for someone who is adaptable, proactive, and excited to be part of afast-paced consulting environment, where they can contribute, learn from others, and make an impact.

What you will do:

• Develop, maintain, and optimize data pipelines and transformations usingSnowflake, SQL, and Python

• Support the implementation of scalable and efficient data solutions for enterprise clients

• Work closely with senior engineers, architects, and client teams to deliver high-quality data products

• Build and maintain batch and near real-time data pipelines for analytics and reporting use cases

• Develop transformation logic using SQL and frameworks such asdbt (nice to have)

• Support data ingestion processes using APIs, file-based ingestion, or ELT tools (e.g., Fivetran or similar)

• Perform data validation, testing, and troubleshooting to ensure data quality and reliability

• Contribute to performance optimization and cost efficiency in Snowflake workloads

• Apply best practices in data modeling, data governance, and pipeline orchestration

• Collaborate in Agile/Scrum environments, contributing to sprint planning and delivery

• Communicate progress and technical challenges clearly with internal teams

Do you have what we are looking for? Requirements:

• 4–6 years of experience indata engineering, databases, or data-related roles

• Minimum 2 years of hands-on experience working with Snowflake

• Strong proficiency inSQL(advanced querying, transformations, optimization)

• Experience withPythonfor data processing, automation, or pipeline development

• Experience building and maintainingdata pipelines and ETL/ELT processes

• Good understanding of data warehousing concepts and modern data architecture

• Experience with data integration patterns (APIs, flat files, streaming is a plus)

• Familiarity with tools likedbt, Airflow, or similaris a plus

• Experience working in cloud environments (AWS, Azure, or GCP) is a plus

• Exposure to working with cross-functional teams or client-facing projects is a plus

• Strong problem-solving and communication skills

• Experience working in Agile environments

Highly valued / nice to have

• Snowflake certifications (SnowPro Core or similar)

• Experience with Snowpark, Streams & Tasks, or other advanced Snowflake features

• Exposure to BI/reporting tools

• Consulting experience or stakeholder interaction

We want you to feel part of Keyrus from the very beginning! 🤝

Why Keyrus?

• We are a Great Place to Work 🏆

• At Keyrus we work 100% remotely, with the possibility of 10-20% travel depending on the position 🌐

• We offer a challenging environment, where you will work with cutting-edge technologies in the world of consulting💡

• We have competitive benefits and multiple opportunities for professional growth📈

Join us at Keyrus!🌟

If you want to know more about the company, we invite you to visit our website: https://keyrus.com/latam/es/home

Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team.

See you in the process!

Originally posted on Himalayas