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Senior Backend Engineer - CRM (USA Only, 100% Remote)

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Location: USA Advertised pay: USD 140,000–210,000 / yearly Work arrangement: Region-restricted remote Employment: Full Time Posted: November 3, 2026 Freshness: Active Source check: Observed in the current source window
Disclosure4 of 5 core facts statedReview uncertainties
Last source observationObserved in the current source windowObservation is not employer confirmation.
Application destinationjobicy.comReview the application route and source evidence in the full report below.

Before relying on the listing: Confirm Application closing time with the employer or source. See verification questions

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionBelow the current median139 current same-currency observations
Work flexibilityRegion-restricted remoteBased only on stated location/work-arrangement evidence.
Decision evidence4 of 5 core facts knownThis listing states more core decision facts than the median role in the current sample.
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternatives3391 current same-family rolesCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence available: advertised pay range, current same-currency market context, strong decision evidence.Use the private Offer & Negotiation Lab below if an offer arrives.

Fast read

Opportunity DNA

The available details do not point to a single standout advantage yet. The clearest issue to weigh is location rules could change the fit.

PayRange available

Current comparable position is around the 33th percentile.

FlexibilityLocation limits visible

Geographic eligibility is restricted to a country or region.

Entry pathRequirements unclear

The listing does not make the minimum education or experience threshold clear enough yet.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

4 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Compensation
  • Work arrangement
  • Advertised location
  • Employment type

What to verify next

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?

Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.

Decision levers

What could make or break the fit?

Reasons to look closer

Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.

Trade-offs to weigh

  • Location rules could change the fit: Geographic eligibility is restricted to a country or region.

Questions worth asking before you invest more time

  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Opportunity neighborhood

Keep your options open

These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.

Sr. Embedded Software Engineer, Robotics Platform

Serve Robotics · Canada, USA

USD 167,800–204,000 / year Region-restricted remote 4/5 core facts

Why it is nearby: Same seniority band · Same country · Similar work arrangement

About 6% higher advertised midpoint

Infrastructure Software Engineer

Nebius · USA

USD 150,000–210,000 / year Region-restricted remote 4/5 core facts

Why it is nearby: Same country · Similar work arrangement · Same employment type

About 3% higher advertised midpoint

Different angle: Seniority is not explicit

Platform Engineer (Virtual, US)

Avaya · Remote — Worldwide

Salary not disclosed Worldwide remote 4/5 core facts

Why it is nearby: Same seniority band · Similar work arrangement · Same employment type

This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.

Role market context

How much current choice is visible around this kind of work?

This compares the vacancy with current High Paid Job inventory in the broad Software engineering roles family. It describes visible choice and disclosure, not future demand or career quality.

Current visible roles3,391

200 most recent current roles sampled for the disclosure measures below.

Employers represented149

Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.

Decision-ready disclosure28%

Current sampled roles stating at least four of the five Core Decision Facts.

Compensation stated19%

Requires a numeric amount, explicit ISO currency and supported pay period.

Work arrangement stated99%

Listings with explicit enough remote, hybrid or on-site evidence to classify.

Stated closing time13%

Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.

Disclosure comparison: This listing states more core decision facts than the median role in the current sample. This listing: 4/5 · sample median: 3.0/5.

Currencies with explicit pay evidence in the sample: USD (21) · EUR (10) · GBP (4) · CAD (2). Raw amounts across different currencies are not compared.

This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.

Constraint opportunity lab

What changes the size of the current opportunity pool?

Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.

Require explicit sponsorship or relocation support 0 / 200 0%

Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.

Require worldwide remote evidence 16 / 200 8%

A much stricter subset: only listings with explicit worldwide-remote evidence remain.

Require usable compensation disclosure 37 / 200 19%

Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.

Require at least four Core Decision Facts 55 / 200 28%

Shows the subset with enough stated evidence for a more informed first comparison.

Stay in the same stated country 19 / 69 28%

Uses only roles where a country is known. Roles without country evidence are excluded from this denominator.

Require a remote-listed arrangement 76 / 200 38%

Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.

Keep this advertised salary floor in the same currency 13 / 21 62%

Only same-currency opportunities with usable annualized pay enter this comparison. Other currencies are not converted or treated as lower.

Keep the same employment type 108 / 122 89%

Uses only roles with a stated employment type.

These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 3391 visible roles in this broad family.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing states usable structured compensation. About 19% of the bounded current role sample does the same.

This listingUsable pay stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sample19%

Pay disclosure is uncommon in the current role sample.

Current employer pattern29%

This employer’s current pay-disclosure rate is broadly similar to the current same-role sample.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payUSD 140,000–210,000 / yearListing evidence only.
Current comparable medianUSD 175,00021 current sampled roles
Current upper quartileUSD 195,700Current HPJ inventory context, not a salary recommendation.

Negotiation evidence available: advertised pay range, current same-currency market context, strong decision evidence.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payKnown

Usable advertised compensation is available.

Bonus / commissionMentioned

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesVerify

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionMentioned

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsMentioned

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveMentioned

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingVerify

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • Does the package include equity or another long-term incentive, and what are the vesting terms?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?
  • When is the first performance and compensation review after joining?
  • Is there a firm application deadline, a rolling review window or no stated closing date?

Occupation intelligence

What broader career references connect to this role?

HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.

HPJ comparison familySoftware engineering roles
Adjacent families worth exploringData & AI roles · Cybersecurity roles · Product roles

European occupation references

This service uses the ESCO classification of the European Commission.

U.S. occupation references

This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.

Career reference research

Skills worth investigating

Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.

ESCO · European occupation

software developer

Usually essential in this ESCO occupation
  • perform scientific research
  • ICT debugging tools
  • engineering principles
  • computer programming
  • project management
  • technical drawings
  • define technical requirements
Context-dependent ESCO skills
  • JavaScriptPhrase in listing
  • KDevelop
  • OpenEdge Advanced Business Language
  • Apache Tomcat
  • SQL

O*NET · U.S. occupation

Software Developers

O*NET occupation skills
  • Programming
  • Critical Thinking
  • Judgment and Decision Making
  • Active Learning
  • Reading Comprehension
  • Systems Analysis
  • Active Listening
  • Complex Problem Solving
Build my private skill preparation brief Your evidence · Practice · Interview questions

Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.

perform scientific researchESCO · Essential · Listing mention unknown
ICT debugging toolsESCO · Essential · Listing mention unknown
engineering principlesESCO · Essential · Listing mention unknown
computer programmingESCO · Essential · Listing mention unknown
project managementESCO · Essential · Listing mention unknown
technical drawingsESCO · Essential · Listing mention unknown
define technical requirementsESCO · Essential · Listing mention unknown
JavaScriptESCO · Optional · Exact phrase in listing
KDevelopESCO · Optional · Listing mention unknown
OpenEdge Advanced Business LanguageESCO · Optional · Listing mention unknown
Apache TomcatESCO · Optional · Listing mention unknown
SQLESCO · Optional · Listing mention unknown
ProgrammingO*NET · Skills · Listing mention unknown
Critical ThinkingO*NET · Skills · Listing mention unknown
Judgment and Decision MakingO*NET · Skills · Listing mention unknown
Active LearningO*NET · Skills · Listing mention unknown
Reading ComprehensionO*NET · Skills · Listing mention unknown
Systems AnalysisO*NET · Skills · Listing mention unknown
Active ListeningO*NET · Skills · Listing mention unknown
Complex Problem SolvingO*NET · Skills · Listing mention unknown

Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.

Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?

These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.

Adjacent current roles to investigate

Data & AI roles

Lead Data Engineer

Oddball · USA

same stated country · same seniority band · same employment type
Cybersecurity roles

Senior Security Analyst

OpenSesame · Remote — Worldwide

same seniority band · same employment type · similar work-arrangement evidence

Adjacent-family roles are exploration prompts from current HPJ inventory. They are not inferred qualification matches and they do not imply a promotion path.

Career move map

What sits one step away?

This listing is currently read as Senior / lead. Nearby roles one visible seniority step away can help you judge whether to widen the search, stretch upward or compare the responsibilities more carefully.

Broader-entry direction

Mid-career

Systems Software Engineer - US Remote

Motorola Solutions · Remote — Worldwide

Similar work arrangement · Same employment type · Recently posted Advertised midpoint is about 50% lower
Mid-career

Oracle Database Developer

Bright Vision Technologies · Remote — Worldwide

Similar work arrangement · Same employment type · Recently posted Advertised midpoint is about 20% lower

Stretch direction

Leadership

Staff Software Engineer, Backend

Customer.io · LATAM, Canada, USA

Same country · Similar work arrangement · Same employment type Advertised midpoint is about 26% higher

These are live roles one visible seniority step away in the same broad occupation family. They can reveal nearby options, but they are not a guaranteed promotion path and do not account for your personal experience.

Skill bridge

What does this role connect to?

AWS is one of the signals this listing shares with skills appearing often across current Software engineering roles opportunities.

Skills named in this listing

AWSDockerJavaScriptKubernetesLarge Language ModelsMongoDBPostgreSQLPython

Shared with the current career sample

  • AWS Seen in 26 sampled listings
  • Kubernetes Seen in 32 sampled listings
  • PostgreSQL Seen in 21 sampled listings
  • Python Seen in 55 sampled listings

Combinations also appearing together

  • Kubernetes + Python appeared together in 19 sampled listings
  • AWS + Kubernetes appeared together in 15 sampled listings
  • AWS + Python appeared together in 13 sampled listings

Additional signals in this listing: Docker · JavaScript · Large Language Models · MongoDB

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used AWS, Docker, and JavaScript rather than relying on a keyword-only claim.

If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Data & AI roles, Cybersecurity roles, and Product roles. This is exploration context, not a qualification match.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 113 contain a recognized skill signal.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Listing mention

AWS

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Docker

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

JavaScript

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Kubernetes

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Large Language Models

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

MongoDB

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Questions worth resolving before you rely on the opportunity

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
  • Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?

Decision analysis

What the listing really tells you

Useful decision context

The headline alone does not tell the whole story for Senior Backend Engineer - CRM (USA Only, 100% Remote) at Close. The clearest decision context comes from pay has a useful comparison point, remote flexibility can be weighed properly, and the application route gives a few useful clues.

Pay has a useful comparison point

The annualized midpoint sits near the 33th percentile within 139 comparable USD salary observations. Treat that as current advertised-pay context rather than a forecast of take-home or total compensation.

Remote flexibility can be weighed properly

The work-location pattern is “Remote with some uncertainty or restrictions”, with Remote Freedom at 62/100. The most important location constraint is geographic eligibility is restricted to a country or region..

The application route gives a few useful clues

Provider-mediated application path. The external application may contain additional steps that are not visible from the listing itself.

Source continuity adds useful context

1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.

How this analysis is assembled

The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.

Analysis evidence coverage

How much analysis can the current evidence support?

100%Strong analysis evidence coverage
100%
Current-sample pay position33 / 100

Uses the explainable High Pay Score within the job’s current occupation/seniority/currency comparison sample.

Remote Freedom evidence62 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityHigh confidence · Focused salary range

The configured source supplied structured salary fields, a usable currency and a focused comparison value.

Listing freshnessActive

The listing was posted about 4 days ago.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

No standout strength is supported strongly enough to list here. That is not a negative rating.

Visible cautions

  • Geographic eligibility is restricted to a country or region.
  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.

Still unknown

  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Entry-barrier evidence limited

EducationEducation requirement not established
Required experience evidenceExperience requirement not established
Explicit required barriers0
Explicit access signals0

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Pay and barrier context available

The current pay position can be viewed alongside the stated barriers, but the available detail does not support a stronger conclusion.

Current-sample pay position

Comparable disclosed-pay evidence places this job at about 33 / 100 within its current occupation/seniority sample.

Location-freedom constraints

1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.

Evidence gaps that could change this interpretation
  • Education requirement is not established.
  • Required prior-experience level is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Compensation intelligence

How competitive is this pay?

33/100

Below many comparable disclosed salaries

33%
Comparison familySoftware engineering roles · Senior / lead
Comparable salaries139
Current-sample medianUSD 190,000
Middle 50% of sampleUSD 171,975–225,000
Position in sampleAt or above about 33%
Comparison geographySame country (US)
Pay positionBelow the current median

The annualized midpoint is below the current comparable median but remains within the sample’s lower-to-middle range.

Why this analysis?

  • This score reflects the current advertised-pay distribution for comparable active jobs in the same currency. It measures pay position, not overall job quality.
  • Salary confidence: High. The configured source supplied structured salary fields, a usable currency and a focused comparison value.
  • Range quality: Focused salary range.

Employer compensation communication

Pay transparency at Close

Mixed current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

43/100
43%
Salary disclosure29% · 2 of 7 sampled listings
Range qualityMostly focused or specific pay information
Bonus wording6 current listings
Equity wording0 current listings
Benefits wording6 current listings
Evidence strengthModerate

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

Close — current opportunity snapshot

Current opportunities visible7
Salary disclosure29%
Remote-policy evidence coverage100% · 7 of 7 sampled listings
Remote share of known arrangements100%
Worldwide-remote share14%
Known hiring countries1
Sponsorship evidence coverage0% · 0 of 7 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample7 of 7 · 100% coverage
Current role-family breadth2
Stated closing-date coverage14%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days71% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation29% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location100% of sampled current listings

Current sampled listings with a supported country signal.

Application timing14% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Software engineering (5) · Cybersecurity (1)

Visible seniority mix: Senior / lead (7)

Current employment-type mix: Full time (7)

Most visible hiring countries in this sample: United States (7)

Other current roles from this employer

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.

Questions worth asking this employer

  • What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?
  • What is the expected application and interview timeline if the listing does not state a closing date?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

62/100

Remote with some uncertainty or restrictions

62%

Why this score?

  • The role is remote but the source identifies a country or regional restriction.

Location restrictions detected

  • Geographic eligibility is restricted to a country or region.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

These are visible conditions worth checking before treating the headline compensation as the whole story:

  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.

Current alternatives

Better-paying alternatives

These current roles show a materially higher annualized salary midpoint in the same broad occupation and currency. Similar seniority, country, work arrangement, employment type and recency are preferred where possible; higher pay alone does not make an alternative a better fit.

About +49% midpoint

Senior Software Engineer, Storage

Reddit · USA

Region-restricted remote

Why comparable: Same seniority band · Same country · Similar work-location arrangement

Alternatives are drawn from the current inventory rather than presented as application recommendations. A pay difference needs to be meaningful—about 3% or more at the midpoint—and different currencies are not compared.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: jobicy.com · HTTPS

No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

About Us

Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.

We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.

Our Stack

Our backend tech stack consists primarily of Python Flask web apps with our TaskTiger scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElastiCache and non-managed services running on EC2 instances. We have CI/CD pipelines that build Docker images, run automated tests and deploy to Kubernetes clusters. We also use these images in our local development environment allowing coding locally against all of our services. We have a well-documented public API that is consumed by our front-end JavaScript app as well as numerous integrations. Our infrastructure is heavily automated using Terraform, Ansible and other AWS tools.

We love open sourcing our code and ideas on our GitHub and on The Making of Close, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark, TaskTiger, LimitLion and ciso8601.

AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting.

About the Role

The CRM team owns everything that Close’s customers touch all day, every day: leads, contacts, opportunities, tasks, activities, custom objects, and search. Each time a call is logged, an email is threaded, a meeting is summarized, it lands on the record this team owns, and every agent we ship starts there.

Today, this team is making big moves towards the next iteration of Close's core data model, our largest engineering effort currently underway. We're reopening assumptions made a decade ago and asking what a modern CRM's data model should look like — one that makes Close flexible for our small, scaling business customers. This is a long series of migrations and rearchitecture projects. If you like greenfield and you like hairy, this is both: help design the next version of Close, and untangle the current one.

One thing to know: we do move people between teams as the work shifts. Most engineers here end up on more than one team over their time at Close — this team is where you'd start, but over time you'll likely have the opportunity to work on many different projects.

You are

  • A seasoned engineer. Python is our backbone, but perhaps you've worked across Go, Rust, or TypeScript. You pick the right tool for the workload rather than retreating to what you know.

  • Architecturally minded. This is the thing we care about most. You've designed systems others built on, planned a migration that couldn't take the product down, and know how to sequence a rearchitecture into pieces that ship independently.

  • Drawn to data model and retrieval problems. Schemas, relationships, normalization, query design, type systems. The plumbing decides whether a CRM feels fast and we pride ourselves on being fast.

  • Experienced in search — this is a serious bonus. Elasticsearch especially, and anything adjacent: Lucene internals, query planning, relevance, indexing at scale, building or operating a search engine.

  • AI-native in production. You've shipped meaningful LLM-backed or agentic features to real users, and you have a POV on where AI earns its place in a CRM workflow and where a structured system wins.

  • Working with AI in your day-to-day. You use AI tools in your own workflow to ship faster, write tighter code, and reason about unfamiliar parts of the codebase. We fund best-in-class developer tools and treat experimentation as part of the work.

  • Battle-tested. You've debugged incidents where latency budgets didn't hold, owned a system everyone else relied on, or carried a pager for something with real customer impact.

  • A builder first. You'd rather get a sloppy v1 in front of fifty customers than spend three weeks on abstractions. You ship.

You will

  • Rearchitect the core CRM data model. Rework how leads, contacts, opportunities, and custom objects relate to each other so each of our customers can represent their business the way it operates.

  • Make Close usable by agents. The Agents team builds the MCP foundation; we build the tools and endpoints on top of it that expose the CRM's data and actions. The hard part is search: any MCP-compatible harness should be able to traverse, filter, and reason over a customer's CRM without learning our private query language first.

  • Ship AI-native CRM features. This team built agentic enrichment: instead of paying a third-party data provider, an agent goes and researches whatever field you need, in bulk or automatically inside a workflow. There's a lot more of this ahead, including AI-powered data cleaning and richer AI search.

  • Keep the hot paths fast. Finding a lead, updating a deal, scanning a pipeline, running a bulk action. Salespeople do these hundreds of times a week and no amount of clever architecture matters if they're slow.

Tech you'll touch: Python, Flask, FastAPI, MongoDB, Elasticsearch, PostgreSQL, Redis, TaskTiger, MCP — plus whichever LLM ships next.

Benefits

  • Compensation: Competitive pay plus an organization-wide goal-based bonus

  • Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.

  • 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay

  • Parental Leave: Paid leave for primary and secondary caregivers

  • Sabbatical: A 1-month paid sabbatical every 5 years with the team

  • Healthcare (US residents): Two medical plans with Close covering 99% of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability

  • 401k (US residents): We match your contributions up to 6%, vested immediately

Our Values

Build a house you want to live in - Examine long-term thinking and action

No BS - Practice transparency and honesty, especially when it’s hard

Invest in each other - Build successful relationships with your coworkers and customers

Discipline equals freedom - Keep your word to yourself and others

Strive for greatness - Constantly challenge yourself and others

Learn More

Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint.

Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!

Explore our product. Check out a demo!

Our Hiring Process

We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.

We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.

Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.

If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

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