17:I[900657,["/_next/static/immutable/chunks/28l2n0khh_6v0.js","/_next/static/immutable/chunks/43g14l8d5_lc2.js","/_next/static/immutable/chunks/2do5n6p8f9g29.js","/_next/static/immutable/chunks/2oiyiel2cg184.js","/_next/static/immutable/chunks/2h65i5m-zdxs3.js","/_next/static/immutable/chunks/3pnk_a7xudfh0.js","/_next/static/immutable/chunks/2ssb9qp2v0dl0.js","/_next/static/immutable/chunks/0ssgoa63zomr1.js","/_next/static/immutable/chunks/0r1lv92ecwbob.js","/_next/static/immutable/chunks/0p6ek3gt73_4w.js","/_next/static/immutable/chunks/238cotupesoro.js","/_next/static/immutable/chunks/2xi2jljjlb21d.js","/_next/static/immutable/chunks/129vgnihx4i7f.js"],"default"] 18:Te01,

You will lead a team of 3-4 senior engineers and own the technical architecture across a large commerce replatforming program: AWS microservices, POS and OMS integrations, third-party SaaS connections, and a new layer of MCP servers exposing vendor APIs to AI agents. You operate as the single point of technical accountability on the program and set the engineering bar for the entire pod. This is a hands-on role (roughly half your time writing production code) and a long-term, full-time engagement. It is not a short advisory gig.

Key Responsibilities:

Write production Python code weekly alongside the team you lead
Design the integration architecture for the Shopify migration: what gets rebuilt, what gets rewired, in what sequence relative to the legacy platform decommission
Set API contracts, authentication patterns, and error handling and observability standards for the whole team
Define the security model for MCP servers: how vendor APIs are scoped, authenticated and audited when exposed to AI agents
Design idempotency, replay and reconciliation controls for production data flows
Build reusable integration services and frameworks
Review all significant designs and pull requests
Run sprint-level technical planning and lead daily communication with client engineering leadership
Sequence and de-risk the production cutover, including rollback planning

Requirements:

6-8+ years of backend and integration engineering, with 2+ years leading or mentoring engineers
Strong Python in production
Deep AWS architecture experience: designing, deploying and operating production microservices
Track record of owning a platform migration or large integration program end to end
REST and GraphQL API design; OAuth and enterprise authentication patterns
Docker, CI/CD and infrastructure automation
Clear client-facing communication: able to present tradeoffs to executives and hold your ground on technical decisions; fluent English
Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

Shopify or Salesforce Commerce Cloud ecosystem experience
MCP server development or AI agent tooling
BigQuery or comparable data warehouse experience
Retail or ecommerce domain background: POS, OMS, order and inventory flows

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What's the next step? If successful, you'll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We'll review your application within 2-3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

19:Tcc5,

You will own the integrations between commerce platforms (Shopify, POS, OMS, third-party SaaS) and the data that moves through them for a large replatforming program. The standard is data correctness at the systems-of-record level: orders, inventory and fulfillment must agree across every platform, provably, before and after cutover. This is a long-term, full-time engagement. It is backend integration engineering, not storefront or theme work.

Key Responsibilities:

Build and maintain REST and GraphQL integrations with Shopify, POS, OMS and third-party business applications
Implement OAuth flows, webhook verification and processing, retries, deduplication and error handling for production data flows
Handle the realities of distributed data: duplicate events, out-of-order delivery, partial failures, eventual consistency
Develop new API integrations with enterprise and SaaS platforms as the program expands
Own SQL and BigQuery work wherever integrations require data movement or transformation
Build automated reconciliation checks so systems of record stay in agreement
Troubleshoot production integrations and data quality issues end to end

Requirements:

5+ years of backend engineering focused on API integrations between enterprise or SaaS platforms
Strong Python in production
REST and GraphQL integration experience on both consuming and building sides
OAuth, API authentication, webhooks and robust error handling patterns
Practical command of idempotency, deduplication and reconciliation design
Strong SQL; hands-on data integration or ETL experience
AWS deployment experience with Docker and CI/CD
Fluent English
Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

Google BigQuery
Shopify APIs (Admin GraphQL, webhooks, Fulfillment Orders) or Salesforce Commerce Cloud
POS, OMS, ERP or fulfillment system integration experience
Event-driven integration patterns: queues, event buses, connectors

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What's the next step? If successful, you'll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We'll review your application within 2-3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

1a:Tcd8,

You will own MCP (Model Context Protocol) server development for a large commerce integration program: building the governed, auditable layer that lets AI platforms and agents operate against production vendor APIs. This is frontier work with enterprise constraints: least-privilege authorization, scoped tool access, audit trails and human-approval controls are part of the design, and your patterns will need to stand up to client security review. Shipped MCP experience is a strong plus; a strong Python API engineer who has built LLM tool-calling or agent integrations and can reason rigorously about security will also succeed. This is a long-term, full-time engagement.

Key Responsibilities:

Build MCP servers that securely expose vendor APIs to AI platforms and agents
Design authorization, scoping and rate controls for agent-initiated calls against production systems
Implement logging, monitoring and guardrails so every agent action is attributable and auditable
Document MCP tools and schemas for adoption by client teams and AI platforms
Evolve the MCP security model with the lead architect as the protocol matures
Build general REST and GraphQL integrations with third-party business applications when MCP demand is light

Requirements:

5+ years of backend engineering with strong Python
MCP server development experience, or strong hands-on ability with LLM tool calling, agent tooling or AI platform integrations
REST and GraphQL API design and integration
OAuth, API authentication, webhooks, error handling and monitoring
AWS deployment with Docker and CI/CD
Security-first engineering: least privilege, audit trails, input validation, defense against prompt-driven misuse
Fluent English
Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

Published or open-source MCP servers (share links in your application)
Experience with Anthropic, OpenAI or similar platform APIs and agent frameworks
SQL and BigQuery
Enterprise SaaS integration background

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What's the next step? If successful, you'll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We'll review your application within 2-3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

1b:Tb5d,

You will join an integration engineering pod on a large commerce replatforming program as its senior generalist, moving between API integrations, AWS deployment support and data work as the program's priorities shift. This seat is held to the same senior bar as the specialist roles: the difference is range. Engineers who need a narrow lane will not enjoy this role; engineers who ramp fast in unfamiliar code and ship across workstreams will. This is a long-term, full-time engagement.

Key Responsibilities:

Build and maintain REST and GraphQL integrations with SaaS and enterprise platforms
Implement OAuth flows, webhook processing and error handling
Support deployment, monitoring and troubleshooting of Python services in AWS
Handle SQL and data transformation work supporting integrations
Pick up integration, platform or MCP tasks across the pod as priorities shift
Work within the architecture and standards set by the pod's lead architect
Cover for teammates through peak workloads and cutover crunches

Requirements:

5+ years of backend engineering with strong Python
REST and GraphQL API integration experience, including OAuth and webhooks
AWS fundamentals: deploying and operating containerized services
Docker and CI/CD familiarity
Solid SQL
Proven context-switching: shipping across several workstreams in the same sprint
Fluent English
Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

Shopify or other ecommerce platform APIs
BigQuery
Interest in MCP and AI agent tooling
A track record of joining an unfamiliar codebase and shipping in the first week

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What's the next step? If successful, you'll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We'll review your application within 2-3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

1c:Tbe0,

You will own the AWS environment for a large commerce replatforming program: deployments, monitoring, incident response, CI/CD, and keeping the existing microservices estate healthy while the migration reshapes what runs on it. Your job is to make deployments uneventful and keep production quiet through the entire transition. This is a long-term, full-time engagement.

Key Responsibilities:

Deploy, monitor and support Python services running in AWS; own alerting and incident response for production integrations
Build and maintain CI/CD pipelines, Docker-based deployment, and infrastructure automation
Maintain and enhance the existing microservices estate and its integrations
Troubleshoot production integrations and data flows using logs, metrics and traces
Drive observability: structured logging, metrics, alerting and dashboards across services
Engineer zero-downtime, rollback-ready deployments for the migration cutover
Help build the reusable integration framework the team standardizes on

Requirements:

5+ years of backend engineering with deep AWS experience (ECS/EKS, Lambda, API Gateway, SQS/SNS, EventBridge, CloudWatch or equivalents)
Strong Python in production
Docker and containerized application delivery
CI/CD ownership: you have built pipelines, not just used them
Infrastructure as code (Terraform, CDK or CloudFormation) used in production
Production operations experience: on-call, incident response, postmortems
Fluent English
Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

Event-driven architecture at scale: durable queues, dead-letter handling, safe replay
Cost optimization of AWS workloads
Shopify, POS or OMS platform exposure
BigQuery or data pipeline tooling

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What's the next step? If successful, you'll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We'll review your application within 2-3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

1d:Tfec,

READ THIS FIRST: This role requires real software engineering skills. You will write Python daily. You will debug production systems. You will read and reason through application code to identify vulnerabilities.

You will write Python daily AND own the infrastructure your code runs on, ensuring AWS infrastructure, Kubernetes clusters, and data stores are hardened against evolving threats while maintaining the performance required for real-time AI video generation at scale.

You'll be hands-on: writing automation, embedding security into CI/CD, hardening production systems, and leading incident response with root cause analysis.

Key Responsibilities
• Write Python scripts and tools to automate security operations, dependency upgrades, evidence collection, and vulnerability remediation. Expect to ship code weekly, not monthly.
• Design and implement security controls across AWS (VPCs, IAM, Security Groups) and Kubernetes (EKS). Enforce least-privilege access, network segmentation, and runtime security policies.
• Own the full vulnerability management lifecycle: scanning, prioritization, remediation, and verification across services and dependencies.
• Embed security into CI/CD pipelines: container image scanning, software composition analysis (SCA), and automated security gates that block non-compliant code before production.
• Use Terraform or equivalent IaC tooling to provision and manage infrastructure with security checks baked into the deployment pipeline.
• Build and maintain detection rules, alerting pipelines, and monitoring dashboards for real-time visibility. Lead technical incident response with documented runbooks.
• Secure data pipelines handling user-uploaded media, AI model assets, and generated content: access controls, encryption at rest/in transit, backup integrity, and audit logging.
• Define and test backup/recovery procedures to meet RTO/RPO targets. Contribute to business continuity planning with focus on security during failure and restoration scenarios.

Requirements
• 4+ years in SRE, or DevSecOps in production environments.
• Strong Python skills. You will be asked to write code, debug existing systems, and reason through unfamiliar codebases during the screening process. This is non-negotiable.
• Hands-on experience securing AWS services and managing containerized workloads in Kubernetes (EKS).
• Strong Terraform or equivalent IaC experience.
• Working knowledge of CI/CD pipeline security and container supply chain integrity.
• Experience with monitoring/alerting tools (Prometheus, Datadog, Grafana, ELK, or CloudWatch).
• Strong written communication for runbooks, findings, and remediation documentation.
• Ability to thrive in a fast-paced, high-autonomy environment where priorities shift rapidly.
• Business-level English (written and spoken).

Nice to Have
• Prior experience at a high-growth startup or AI-native org.
• CKS, AWS Security Specialty, or equivalent certifications.

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What’s the next step? If successful, you’ll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We’ll review your application within 2–3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

1e:Tb45,

We're looking for a Senior PHP Developer to join our Billing Engineering team on a full-time, long-term basis (40 hrs/week). This is an urgent hire -- 1 position available.

The Role

You'll own the maintenance, modernization, and evolution of a core billing platform built on a large-scale PHP monolith. This is a high-traffic, business-critical system running on Kubernetes infrastructure. You'll troubleshoot production issues, drive performance and scalability improvements, and contribute across the full development lifecycle -- from design through deployment.

Responsibilities

Maintain, modernize, and evolve the billing platform and its components
Diagnose and resolve high-impact production issues in a high-traffic environment
Drive improvements in performance, scalability, and reliability
Produce clear technical documentation for existing and new systems
Promote knowledge sharing and best practices across the team

Requirements

5+ years of strong professional PHP experience
Solid foundation in OOP patterns, Clean Code, and SOLID principles
Experience maintaining and improving complex legacy systems
Strong MySQL skills -- writing efficient, high-performance queries
Hands-on Docker and AWS experience
Experience with AI-assisted development tools (Cursor, Claude Code, or similar)
Business-level English (written and spoken)
Strong debugging, analytical, and problem-solving skills

Nice to Have

Kubernetes and Helm experience
Queue-based or asynchronous systems
Non-relational databases
CI/CD pipelines
Observability tools (Datadog, Grafana)

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What’s the next step? If successful, you’ll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We’ll review your application within 2–3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

1f:T1048,

**Full-time availability required: 9am to 5pm PST**

We are hiring a senior DevOps engineer to consolidate and optimize our CI/CD pipelines, modernize our build system (Bazel or equivalent), and upgrade our testing infrastructure to support reliable, fast releases.

You will also implement a strong local development environment to improve developer productivity. This role is best for someone who has led pipeline consolidation across multiple repos/services and has shipped build and test improvements that measurably reduced cycle time.

Responsibilities

Consolidate and streamline existing CI/CD pipelines to reduce duplication, improve maintainability, and speed up execution
Design and implement a modern build system strategy (Bazel preferred) including caching, remote execution (if applicable), and reproducible builds
Improve build and release reliability with clear artifacts, versioning, promotion workflows, and rollback strategies
Design and optimize testing infrastructure (unit, integration, e2e) including parallelization, test selection, flake reduction, and reporting
Implement a local development environment that mirrors CI behavior and improves developer iteration speed (scripts, containers, dev tooling)
Establish best practices for pipeline security and compliance (secrets management, least privilege, supply chain checks)
Create documentation, runbooks, and onboarding materials for the build, test, and deployment workflows
Collaborate with engineering teams to adopt standards and migrate services with minimal disruption

Qualifications

Senior-level DevOps experience owning CI/CD at scale across multiple services or repositories
Strong hands-on expertise with modern CI/CD systems (examples: GitHub Actions, GitLab CI, CircleCI, Buildkite, Jenkins)
Demonstrated experience implementing or migrating to Bazel (or a comparable modern build system) in production
Strong testing infrastructure experience, including automation, flake management, and CI performance optimization
Experience with containers (Docker) and orchestration (Kubernetes) in real-world delivery pipelines
Proficiency in automation via scripting (Python, Bash, or Go)
Ability to translate developer pain points into practical platform improvements with measurable outcomes

Nice to have

Infrastructure as Code experience (Terraform, Ansible, Pulumi)
Cloud experience in AWS, GCP, or Azure with CI integrations and artifact storage
Experience with remote caching/execution (Bazel RBE), build artifact provenance, or SBOM generation
Experience implementing ephemeral preview environments
Observability for CI/build systems (metrics, logs, traces) and cost optimization

Additional Notes

To be considered, you must complete a live coding interview.

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What’s the next step? If successful, you’ll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We’ll review your application within 2–3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

20:Td6f,

**Full-time alignment required with PST timezone (Mon - Fri | 9am-5pm)**

We’re seeking an experienced App Developer to build, launch, and maintain an application on one or more major SaaS marketplaces such as:

Shopify
HubSpot
Canva
Adobe
Figma
Slack
Salesforce
Others

You’ll own the full lifecycle of development — from integrating our APIs and authentication flows to deploying and maintaining the app post-launch.

Ideal candidates have previously built production-ready marketplace apps or third-party integrations connecting APIs between platforms.

Responsibilities

Develop and launch a fully functional app or integration on a major SaaS platform
Connect and extend our product’s functionality through REST APIs and webhooks
Implement secure authentication (OAuth 2.0) and handle multi-tenant configurations
Manage submission, approval, and version updates on marketplace
Provide ongoing support, maintenance, and improvements post-launch

Requirements

Proven experience developing apps for Shopify, HubSpot, Canva, Adobe, Slack, or similar ecosystems
Strong experience in Python, Node.js, or TypeScript
Hands-on experience with REST APIs, webhooks, and OAuth 2.0
Knowledge of deployment best practices (cloud hosting, CI/CD pipelines)
Familiarity with marketplace submission and approval processes
Excellent communication and ownership mindset
Must align full-time with PST timezone

Deliverables

A live, production-ready app published on a supported platform
Full integration with our existing API endpoints
Post-launch monitoring and iterative improvements

Additional Notes

To be considered, you must complete a live coding interview.

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What’s the next step? If successful, you’ll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We’ll review your application within 2–3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

21:Tbd2,

**Full-time alignment required with PST timezone (Mon - Fri | 9am-5pm)**

We are looking for a API Support Engineer to join our team and help our customers succeed with our technology solutions. You will act as the bridge between our enterprise customers and technical teams, ensuring smooth problem resolution, clear communication, and proactive support.

If you have a solid background in Python, hands-on experience with APIs, and a passion for solving technical challenges, we want to hear from you!

Responsibilities

Provide technical support to customers via email, chat, and occasional video calls.
Diagnose and troubleshoot API-related issues, offering timely and effective resolutions.
Collaborate with development teams to escalate and resolve complex technical problems.
Assist customers in integrating our solutions with their systems using Python.
Create and maintain detailed support documentation as needed.
Continuously monitor and improve customer satisfaction through proactive communication.
Identify recurring technical issues and propose long-term solutions.

Requirements

Strong debugging and troubleshooting skills in distributed systems
Navigating existing codebases (Python, MySQL, Flask/FastAPI)
Strong programming skills in Python.
Hands-on experience working with APIs (REST).
Proven experience in a technical support or engineering role.
Exceptional customer-facing communication skills, with the ability to explain technical concepts to non-technical audiences.
Familiarity with debugging tools like DataDog and techniques.

Ability to multitask and prioritize in a fast-paced environment.

Additional Notes

To be considered, you must complete a live coding interview.

Our simple 3-step process:

Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).

***All answers must be in English.***

FAQs:

What’s the next step? If successful, you’ll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We’ll review your application within 2–3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.

We look forward to reviewing your application!

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Application Successfully Received!

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Odesa.co

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Application Successfully Received!

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Application Successfully Received!

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Our team is excited to review your submission and will reach out if your qualifications match the role. If you have any questions, feel free to contact us at hello@hireodesa.com.

We appreciate your interest and look forward to the opportunity to connect!

Hiring Team

Hire Odesa

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Application Successfully Received!

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Our team is excited to review your submission and will reach out if your qualifications match the role. If you have any questions, feel free to contact us at hello@hireodesa.com.

We appreciate your interest and look forward to the opportunity to connect!

Hiring Team

Hire Odesa

https://hireodesa.com

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