Responsibilities

• Evaluate and mature the organization’s disaster recovery posture, including recovery objectives (RTO/RPO), dependency mapping, and failure domain analysis across applications, data, and infrastructure.
  
  
• Define, document, and establish disaster recovery standards and best practices across cloud infrastructure, platforms, and application architectures.
  
  
• Partner with SRE, platform, security, and product engineering teams to design and implement resilient, fault-tolerant systems, progressing from backup-based recovery to multi-region and active-active architectures.
  
  
• Lead the disaster recovery roadmap, balancing technical feasibility, cost, risk, and business priorities.
  
  
• Design and recommend reference architectures for disaster recovery patterns, including pilot-light, warm standby, hot standby, and active-active.
  
  
• Drive adoption of active-active disaster recovery for critical systems, including traffic management, data replication, consistency models, and automated failover.
  
  
• Define and operationalize testing strategies for DR, including game days, chaos testing, and regular recovery exercises.
  
  
• Establish clear documentation, runbooks, and escalation paths to ensure recoverability is well understood and not dependent on individuals.
  
  
• Evaluate and recommend platform upgrades, cloud services, and tooling that improve resilience, recovery speed, and reliability.
  
  
• Serve as a technical authority and advisor on disaster recovery and resilience for leadership and engineering teams.
  
  
• Provide architectural guidance, design reviews, and mentorship to engineers implementing DR-related changes.
  
  
• Partner with security and compliance teams to ensure DR strategies meet regulatory, audit, and data protection requirements.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 8+ years of experience in cloud infrastructure, platform engineering, SRE, or reliability-focused architecture roles.
  
  

Disaster Recovery & Resilience

• Deep understanding of disaster recovery concepts including RTO/RPO, blast radius reduction, failure domains, and dependency isolation.
  
  
• Proven experience designing and implementing multi-region and multi-availability zone architectures.
  
  
• Hands-on experience moving systems toward active-active or highly available architectures.
  
  
• Strong grasp of data replication strategies, consistency tradeoffs, and recovery patterns for databases and stateful systems.
  
  

Cloud & Platform Engineering

• Extensive experience with major cloud providers (AWS preferred, GCP/Azure acceptable).
  
  
• Strong understanding of managed cloud services and their DR characteristics and limitations.
  
  
• Experience with Kubernetes-based platforms, including regional failover, workload portability, and cluster recovery strategies.
  
  
• Familiarity with global traffic management, DNS, load balancing, and service mesh patterns.
  
  

Automation & Infrastructure as Code

• Experience designing and maintaining Infrastructure as Code using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Strong focus on automation for recovery workflows, failover testing, and environment provisioning.
  
  
• Ability to eliminate manual recovery steps and reduce time-to-recovery through software.
  
  

Operational Excellence

• Experience defining and running DR tests, game days, and failure simulations.
  
  
• Comfortable working across organizational boundaries to influence priorities and standards.
  
  
• Strong documentation and communication skills, with the ability to translate complex technical risk into business impact.

Senior Software Engineer

The Opportunity:

BlinkRx is opening its first Bay Area engineering office, and we are building the founding team now. This is not a lateral move into an established org. This is a chance to be one of the engineers who was there at the beginning, setting technical standards, shaping how AI gets embedded into an engineering culture from day one, and writing code that ships to production fast and reaches real patients immediately.

We are looking for Full Stack Engineers who build with AI as a way of working, not as a feature. Engineers who experiment relentlessly, integrate it into everything they touch, and are done waiting for permission to do their best work. The founding team sets the culture and the trajectory. That opportunity does not come around often, and it is rarer still when the company is already proven at scale.

Responsibilities:

• Lead architecture and execution for complex features or systems across multiple teams or domains, with an emphasis on AI-integrated solutions. 
• Design and evolve backend and frontend architecture for scalable, high-performance systems. 
• Write clean, efficient, and maintainable code and lead code reviews that raise the bar for the entire team. 
• Actively integrate AI tooling into your development workflow and help establish that standard across the engineering organization. 
• Investigate and resolve complex performance and reliability issues end-to-end. 
• Drive the release of new features with testing, documentation, and monitoring from day one. 
• Partner cross-functionally with product, design, data, and operations to shape roadmaps and accelerate impact. 
• Rapidly prototype, test, and iterate with a learning mindset and a bias for action. 
• Communicate complex technical topics clearly to technical and non-technical audiences alike.

Qualifications:

• 5+ years of software engineering experience with increasing scope and impact. 
• Proven experience owning significant systems or product areas from design through launch. 
• Strong expertise in at least one modern language such as Python, JavaScript, or Go. 
• Active, hands-on use of AI tools as a core part of your engineering workflow. 
• Experience in distributed systems, API design, and performance optimization. 
• Excellent communication and collaboration skills. 
• Bachelor's degree in Computer Science or equivalent experience.

Company Overview:

Blink Health is a healthcare technology company that builds products to make prescriptions accessible and affordable to everybody.  Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients. 

BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock. 

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

Why This Role

This is a rare opportunity to own meaningful marketing scope on a global team, not execute against someone else's playbook. You will report directly to the VP of Customer Growth and work as a core member of a small, nimble team of marketers, engineers, and product managers who move fast and have real influence over how millions of patients access their medications. You will have a front-row seat to modern AI-enabled marketing at scale, with the ability to experiment, ship, and see impact quickly. This role sits within a globally distributed team, which means you will collaborate closely with US-based counterparts and leadership, including regular evening availability to align across time zones.

About the Role

Blink is seeking a strategic, hands-on Online Marketing Manager Growth & Lifecycle Marketing Manager to lead omnichannel lifecycle and performance marketing programs that improve patient outcomes and accelerate business growth. This role will own strategy, execution, and optimization across email, SMS, push, in-app, voice, paid search, paid social, display, and emerging digital channels. The ideal candidate blends strong marketing fundamentals with analytical rigor and practical use of AI to improve personalization, segmentation, creative velocity, and operational efficiency. You will work cross-functionally with sales, client development, product, analytics, data science, engineering, and compliance to deliver measurable impact while maintaining a high bar for patient experience, privacy, and brand integrity. This is a globally distributed team. You will work closely with US-based leadership and peers and should be comfortable with regular evening availability to support real-time collaboration across time zones.

Responsibilities

• Develop and lead an integrated online marketing and lifecycle strategy that supports patient outcomes while driving acquisition, activation, retention, adherence, and re-engagement goals.
• Own CRM and lifecycle programs across email, SMS, push, in-app messaging, and voice, including journey design, trigger strategy, audience selection, content planning, and performance optimization.
• Apply AI-enabled approaches to audience segmentation, personalization, send-time optimization, churn-risk identification, propensity modeling, and next-best-action recommendations.
• Partner with data science and analytics to operationalize predictive models and evaluate whether AI-driven interventions improve engagement, conversion, refill behavior, retention, lifetime value, and ROI.
• Design and execute a rigorous experimentation roadmap across lifecycle and paid channels, including A/B, holdout, and multivariate tests; measure incrementality and causal impact wherever possible.
• Lead paid digital marketing efforts across SEM, PLA or shopping, paid social, display, retargeting, and partner channels, optimizing toward CAC, ROAS, conversion rate, and long-term value.
• Own marketing measurement frameworks, attribution methodologies, and executive reporting; translate campaign and channel performance into actionable recommendations for leadership.
• Improve campaign development workflows through AI-assisted copy ideation, creative testing, QA support, and audience operations, with human review and clear brand and compliance guardrails.
• Collaborate with product and engineering to improve martech infrastructure, conversion tracking, event instrumentation, data quality, and campaign orchestration across the patient journey.
• Build and maintain scalable segmentation logic and first-party data strategies within CRM, CDP, and analytics environments to increase relevance and efficiency across channels.
• Ensure responsible use of AI and patient data in partnership with legal and compliance teams, with attention to privacy, consent, bias mitigation, explainability, and healthcare marketing requirements. Partner with legal and compliance teams to ensure AI tools and patient data are used responsibly, with attention to privacy, consent, and bias mitigation. You will have guardrails and support, not sole ownership of this domain.
• Stay current on digital marketing trends, platform changes, privacy shifts, healthcare engagement best practices, and emerging AI capabilities; translate relevant developments into pragmatic pilots and scaled programs.
• Mentor junior team members and agency partners, and help raise the team standard for testing discipline, measurement rigor, and modern marketing operations.

Qualifications

• 5+ years of experience in online, lifecycle, CRM, growth, or performance marketing, with meaningful ownership of patient or customer engagement programs.
• Bachelor's degree in marketing, statistics, business, communications, or a related field, or equivalent practical experience.
• Demonstrated experience working with or within US-based companies, including comfort navigating US business culture, cross-timezone collaboration, and US consumer marketing standards.
• Demonstrated success managing omnichannel campaigns across owned and paid channels, with accountability for measurable business outcomes.
• Hands-on experience applying AI, automation, predictive analytics, or generative AI tools to marketing workflows, audience strategy, experimentation, or content operations.
• Strong AI aptitude, including curiosity, sound judgment, and practical experience using AI tools to accelerate research, content development, campaign optimization, analysis, and day-to-day marketing workflows.
• Strong analytical and technical skills, including expertise in SQL and experience with BI and visualization tools such as Tableau, Looker, or similar platforms.
• Experience with CRM and marketing automation platforms such as Braze, Iterable, Salesforce Marketing Cloud, or similar tools.
• Experience with digital advertising platforms such as Google Ads, Meta, paid social, display, and retargeting platforms.
• Deep understanding of segmentation, funnel analysis, attribution, incrementality measurement, and test design.
• Excellent project management and cross-functional collaboration skills, with the ability to manage multiple priorities in a fast-moving environment.
• Strong written and verbal communication skills, with the ability to present clearly to technical and non-technical stakeholders.
• Self-starter with a strong work ethic and a track record of delivering results while working with distributed or remote teams.
• Comfortable with regular evening availability to collaborate with US-based team members and leadership in real time.

Preferred Qualifications

• Experience in healthcare technology, digital health, pharmacy, or another regulated consumer industry.
• Experience partnering with data science, product, and engineering teams to bring new measurement, modeling, or personalization capabilities into production.
• Familiarity with CDPs, data warehousing, reverse ETL, or modern marketing data stacks.
• Experience evaluating AI vendors, prompts, copilots, or marketing automation tools for quality, risk, and business impact.
• MBA or other advanced degree is a plus. MBA strongly preferred.

If you are a strategic marketer with strong analytical instincts and a practical approach to AI-enabled growth, we encourage you to apply. If you are a curious, fast-moving marketer who thrives in a high-ownership environment, is energized by AI-enabled growth, and wants to do your best work on a global team, we would love to hear from you.

About the team:

Blink Engineering strives to build trusted, highly observable, data-driven products to bring affordable, accessible healthcare to all Americans. We understand healthcare is the most complex system most of us will ever fix. We believe in solving this complexity through the use of simple, well-known technologies. We are a highly collaborative team that believes in owning outcomes over owning code and putting patients at the center of everything we do.

About the role:

The QA team plays an important role in our company’s product development process. We are looking for a QA Engineer to determine software quality through manual and automated testing for both mobile and web applications, including cross-platform testing (browser, OS). The QA team is responsible for building infrastructure, frameworks and tooling to enable automated testing; developing test scenarios and test cases; measuring and improving our software quality. 

In this role you will be responsible for defining test approaches and test plans for assigned functional test areas. You will own complete functional areas and will be responsible for finding and reporting bugs. You will work closely with the engineers, designers and product managers to ensure quality development. You will participate in automation activities to enhance product quality and improve engineering productivity.

About You:

We all help each other on the team. Where you have previously worked or gone to school isn’t important to us.

The following, however, is:

• You have 5+ years of experience in QA, software testing, or quality engineering.

• You are familiar with AI-powered tools and workflows that improve engineering and QA productivity, such as test generation, defect analysis, code assistance, and documentation support.

• You are proficient in using AI tools responsibly and effectively to accelerate software development, improve test coverage, and enhance quality processes while applying sound engineering judgment.

• You are passionate about product quality and bring strong attention to detail.

• You have experience writing test cases, test plans, and executing tests for web and mobile applications.

• You have knowledge of general software QA methodologies, tools, and processes.

• You can write efficient, maintainable code in at least one programming or scripting language; knowledge of JavaScript and TypeScript is a plus.

• You have a solid understanding of software development fundamentals, including APIs, system integrations, debugging, version control, and CI/CD workflows.

• You have experience working with testing frameworks and tools such as Git, Jenkins, Cypress, Playwright, JIRA, Docker, AWS, TestNG, and Agile development practices.

• You have hands-on experience automating functional and integration testing for Web, iOS, and Android applications.

• You have working knowledge of databases and SQL.

• You have working knowledge of QA automation architecture, implementation methodologies, and tools.

• You are comfortable partnering with engineers on root cause analysis, testability improvements, and release readiness.

• You have experience validating APIs, backend services, and end-to-end workflows across distributed systems.

• You are able to contribute to automation frameworks, shared test utilities, and developer-facing quality tooling.

If you join Blink, you will:

• Review and analyze product specifications.

• Leverage AI-enabled tools to improve test design, accelerate defect triage, streamline repetitive QA tasks, and increase team efficiency.

• Estimate, prioritize, plan, and coordinate testing activities.

• Execute test cases (manual and automated) and analyze results across Web, Mobile, API, and backend systems.

• Identify, record, document thoroughly, and track bugs through resolution.

• Perform thorough regression testing when bugs are resolved.

• Work with cross-functional teams to ensure quality throughout the software development process.

• Actively participate in automation work for framework enhancements, test additions, and tooling improvements.

• Work closely with product and development teams on feature launches.

• Design, build, and maintain automated test coverage for critical user journeys, platform services, and integration points.

• Contribute to the development and maintenance of scalable test frameworks, reusable test components, and CI/CD quality gates.

• Partner with software engineers to improve application testability, observability, and defect prevention earlier in the development lifecycle.

• Validate functionality across frontend, backend, and third-party integrations to ensure reliable end-to-end experiences.

• Support release quality by participating in risk assessments, test strategy discussions, and production readiness reviews.

About the Role:

BlinkRx is seeking a highly experienced Principal Data Engineer to design, build, and evolve our core data ecosystem. This role is for a hands-on technical leader who thrives on transforming raw, disparate data into trusted, well-modeled, and analytics-ready assets that power decision-making, AI, and operational systems across the company.

As a senior individual contributor within the Data organization, you will own critical aspects of data architecture, modeling, and transformation. You’ll play a central role in unifying data across domains, evolving schemas and pipelines as the business changes, and ensuring our data foundation supports real-time use cases, advanced analytics, and AI-driven initiatives.

What You Will Do:

Data Architecture & Modeling

• Design and maintain robust data models that clearly define structure, relationships, and business meaning across domains.
  
  
• Establish and evolve canonical data definitions, schemas, and dimensional models to support analytics, reporting, and AI use cases.
  
  
• Ensure data models balance scalability, performance, and ease of use for downstream consumers.
  
  

Data Transformation & Pipelines

• Build and own end-to-end data transformation workflows, from raw ingestion through curated, modeled, and reporting-ready layers.
  
  
• Implement scalable ELT/ETL patterns that support batch and real-time data processing.
  
  
• Continuously refactor and improve existing pipelines to increase reliability, performance, and clarity as requirements evolve.
  
  

Data Integration & Unification

• Integrate data from diverse internal and external sources into a unified, consistent data foundation.
  
  
• Resolve data duplication, inconsistency, and fragmentation across systems through thoughtful modeling and transformation.
  
  
• Partner with upstream and downstream teams to ensure clean contracts and reliable data interfaces.
  
  

AI & Advanced Analytics Enablement

• Design data structures and pipelines that enable AI, machine learning, and advanced analytics use cases.
  
  
• Ensure training, feature, and inference data are accurate, timely, and reproducible.
  
  
• Collaborate with analytics and data science partners to operationalize AI-ready datasets.
  
  

Change Management & Technical Stewardship

• Lead change management for data systems, including schema evolution, backfills, and migration strategies.
  
  
• Establish best practices for refactoring data pipelines without disrupting critical reporting or consumers.
  
  
• Act as a steward of long-term data quality, maintainability, and technical integrity.
  
  

Collaboration & Influence

• Partner closely with Analytics, Product, Finance, Operations, and Engineering to translate business needs into scalable data solutions.
  
  
• Communicate complex data concepts clearly to technical and non-technical stakeholders.
• Set standards and provide technical guidance to other data engineers through design reviews and mentorship.

Qualifications:

Minimum Requirements

• 10+ years of experience in data engineering or related software engineering roles.
  
  
• Deep expertise in SQL and data transformation frameworks, with strong proficiency in Python.
  
  
• Extensive experience designing and maintaining data models (dimensional, relational, and analytical).
  
  
• Proven track record of building reliable data pipelines from raw data to analytics and reporting layers.
  
  
• Experience integrating and unifying data across multiple systems and domains.
  
  
• Strong understanding of data quality, testing, observability, and lifecycle management.
  
  
• Excellent communication skills and ability to drive alignment through technical leadership rather than people management.
  
  

Preferred Qualifications

• • Experience supporting AI or machine learning workloads with production-grade data pipelines.
    
    
  • Background in healthcare, pharmacy, or other regulated data environments.
    
    
  • Experience with real-time or streaming data architectures.
    
    
  • Familiarity with modern cloud data stacks (e.g., cloud data warehouses, Spark-based processing).

About the Role

Blink Engineering strives to build trusted, highly observable, data-driven and AI-enabled products that bring affordable, accessible healthcare to all Americans. Healthcare is one of the most complex systems most of us will ever work in, and high-quality, well-governed data is foundational to both analytics and AI systems that make that complexity understandable, reliable, and scalable.

We are seeking a Staff Data Engineer to own and drive the evolution of Blink’s data engineering function with an AI-first mindset. This role is responsible for shaping and executing a forward-looking data strategy that ensures our data warehouse, pipelines, and analytics foundations are not only correct and reliable, but designed to power machine learning, AI-driven insights, and intelligent automation at scale.

As a Staff engineer, you are a technical leader and force multiplier—deeply hands-on while setting standards, direction, and best practices that scale across teams. You will operate with a high degree of autonomy, proactively identifying risks and opportunities, and influencing how Blink builds, uses, and trusts its data as a strategic asset for both human and AI decision-making.

What You Will Do

• Own the technical direction for Blink’s data engineering architecture, balancing immediate business needs with long-term scalability, reliability, maintainability, and AI readiness

• Design, build, and evolve core data pipelines, models, and warehouses that support analytics, reporting, operational decision-making, and AI/ML use cases

• Proactively assess production data warehouse trends and operational issues, identifying systemic problems and driving durable short- and long-term solutions that improve data quality, freshness, and usability for AI systems

• Define and enforce standards for data modeling, data quality, observability, and performance across the data ecosystem, with an emphasis on producing trusted inputs for machine learning and AI

• Lead the design and refactoring of large enterprise data warehouses and associated ETLs, simplifying architecture through automation, improved patterns, and AI-friendly data abstractions

• Serve as a technical authority in peer code reviews and architecture reviews, setting a high bar for clean, correct, maintainable, and AI-compatible data systems

• Partner closely with analytics, product, and engineering teams to translate ambiguous business needs into scalable data solutions, including data products that enable AI-powered features

• Identify opportunities to increase leverage through shared frameworks, tooling, reusable data assets, and data products that accelerate AI development

• Mentor and guide other data engineers, raising the overall technical maturity and effectiveness of the team in building data systems that safely support AI

Technical Skills

• 8+ years of experience in data or software engineering, including ownership of production-grade data systems

• Strong foundation in data engineering principles, including dimensional modeling, incremental data ingestion, and distributed data processing, with an understanding of how these choices impact AI and ML workflows

• Extensive experience building and maintaining robust, scalable ETL pipelines using SQL, Python, Databricks, Spark, and DBT

• Advanced SQL skills, including writing and optimizing complex queries across large and diverse datasets

• Experience designing, operating, and maintaining columnar data warehouses with a focus on reliability, performance, and suitability for advanced analytics and AI

• Hands-on experience with batch and streaming data systems, including Airflow, Databricks / Spark, and relational databases such as Postgres

• Experience integrating data platforms with business intelligence tools (e.g., Tableau, QuickSight) and supporting downstream AI and ML consumption

• Familiarity with modern infrastructure and DevOps practices, including infrastructure as code (Terraform), containerization, and orchestration (Docker, Kubernetes)

• Demonstrated ability to continuously improve data systems through automation, simplification, and thoughtful architectural change, especially in service of scalable AI-driven capabilities

We are looking for a Senior Cloud Network Engineer to join our Cloud Engineering team. In this role, you will be responsible for the day-to-day deployment, management, and optimization of our AWS networking environment. You will play a critical role in maintaining our multi-VPC architecture, ensuring seamless connectivity via VPN and Direct Connect, and automating all network changes through IaC pipelines. This is a perfect role for an engineer who has mastered the AWS networking fundamentals and is ready to manage advanced services like Transit Gateway and Firewall Manager.

Responsibilities 

• Help set your own priorities and influence decision-making on all core cloud infrastructure and systems.
• Own end-to-end design, delivery, and operations of medium-to-large scope cloud infrastructure initiatives, including alignment with stakeholders and risk identification
• Demonstrates proficiency across multiple layers of AWS cloud infrastructure, including compute, networking, observability, CI/CD pipelines, and cloud security, and provides guidance to improve technical practices.
• Execute VPC deployments and manage routing updates. Maintain and audit Security Group configurations to ensure "least privilege" access.
• Configure and support various AWS Load Balancers (ALB, NLB). Analyze application traffic patterns to recommend the most effective load-balancing and target-type strategies.
• Maintain Route 53 records across public and private zones. Manage DNS forwarders and resolver profiles to ensure reliable name resolution across hybrid environments.
• Support and troubleshoot advanced connectivity components, including Transit Gateway, Direct Connect, and Global Accelerator.
• Monitor and maintain Site-to-Site VPNs and multi-VPC peering connections.
• Use Terraform or CloudFormation to deploy all networking resources. Contribute to and maintain automation pipelines to ensure consistent, repeatable deployments.
• Proactively find ways to improve the observability and reliability of our systems
• Actively mentor engineers, contribute to architectural reviews, and raise the bar for operational excellence through peer collaboration

Desired Experience

• Bachelor's/Master's Degree in Computer Science (or equivalent experience)
• 8+ years of progressively senior experience in cloud infrastructure engineering, with a proven ability to design scalable systems, drive end-to-end initiatives, and influence cloud architecture decisions.
• 5+ years of experience with VPCs, Subnets, Route Tables, and Security Groups.
• Solid understanding of ELB (Elastic Load Balancing) and Route 53 (including private zones and record management).
• Practical experience (or strong theoretical knowledge with lab experience) in Transit Gateway and Direct Connect.
• Proficiency in writing and debugging Terraform or AWS CloudFormation scripts.
• Strong grasp of the OSI model, TCP/IP, and CIDR notation.
• Proven ability to troubleshoot connectivity issues within complex cloud environments.
• Comfortable working within a DevOps framework and collaborating with application teams to optimize network performance.
• Certifications (Preferred):
• AWS Certified Solutions Architect - Associate/Professional
• AWS Certified Advanced Networking Specialty.

Methodical, efficient troubleshooting

• You look at the entire stack to find the needle
• You are a command-line connoisseur, linux expert, and know your networking stack
• Have solid experience of working with Linux OS and can demonstrate you possess fundamental knowledge about operating systems.
• Has delivered at least one cloud infrastructure feature or platform capability end-to-end, including planning, implementation, deployment, monitoring, and iterative improvements.

Coding in an agile environment

• Automating repetitive (mundane to complex) tasks to remove toil
• Building tools to standardize the Engineering process
• Be disciplined about testing across all projects
• Design and implement an IaC codebase that builds an entire company's cloud resources (Terragrunt, Terraform, Ansible, CloudFormation, etc)

As a Senior Data & Analytics Engineer, you will be a key technical contributor who designs and builds both data infrastructure and analytics-ready data models. You will develop and maintain data pipelines and transformation layers that enable self-service analytics across the organization. You will partner closely with business stakeholders, analysts, and data scientists to understand requirements and translate them into scalable, well-modeled data products. You will design for data integrity, reliability, and performance while ensuring data is accessible, documented, and trustworthy for downstream consumers. You will contribute to code quality through adherence to standards and participation in peer code and architecture reviews.

What You'll Need:

• 5+ years hands-on experience with a combination of:
• SQL mastery including writing complex, highly-optimized queries and designing dimensional data models
• Expert-level analytical SQL (window functions, CTEs, pivots, advanced joins).
• Building reusable, parameterized logic for transformations.
• Writing testable, modular SQL models (dbt or equivalent).
• Translating ambiguous business questions into structured data models and metrics.
• Designing semantic layers, metrics, and business logic for analytics consumption
• Python software development for data pipelines and automation
• Building and maintaining data transformation pipelines using tools like dbt, SQL, and Python
• Integration with Business Intelligence tools (e.g., Looker, QuickSight, Tableau)
• Building and maintaining data integration (ETL/ELT) pipelines using SQL, EMR, Python and Spark
• Good to have knowledge on ETL/ELT with batch (AWS Data Pipeline, Airflow) and streaming (Kinesis, Kafka)
• Creating scalable, well-documented data models following dimensional modeling best practices
• Experience with modern analytics engineering tools and practices (e.g., dbt, data modeling, testing frameworks, version control for analytics code)
• Experience using tools like Cursor/ChatGPT to speed up coding and testing, improve documentation, and raise code quality (maintainability, readability, security, performance) is strongly preferred
• Strong understanding of data modeling concepts (star schema, dimensional modeling, slowly changing dimensions)
• Experience working with data lakes and contributing to automation and simplification improvements across the data ecosystem
• Experience owning features from design through delivery along with ongoing support
• Strong ability to communicate effectively with both technical and non-technical stakeholders, translating business requirements into technical solutions
• Experience partnering with analysts, data scientists, and business teams to define metrics, KPIs, and reporting requirements
• Experience mentoring junior engineers and analysts, and promoting best practices for data management, quality, and governance
• Undergraduate or graduate degree in Computer Science, Information Systems, or related field
• Experience with the following will be added advantage:
• Working with columnar databases (e.g., Redshift, Snowflake) and optimizing for query performance
• Distributed data processing (Hadoop, Spark, Hive)
• Extra consideration will be given to those with Healthcare-relevant company experience, with demonstrated industry knowledge of handling sensitive information

About the team:

Blink Engineering strives to build trusted, highly observable, data-driven products to bring affordable, accessible healthcare to all Americans. We understand healthcare is the most complex system most of us will ever fix. We believe in solving this complexity through the use of simple, well-known technologies. We are a highly collaborative team that believes in owning outcomes over owning code and putting patients at the center of everything we do.

About the role:

As a Senior Software Development Engineer in Test I, you will design and implement robust testing strategies and automation solutions for complex, cross-team product features. You will own the end-to-end automation roadmap for one or more modules defining strategic goals, execution plans, and success metrics.

The SDET team plays an important role in our company’s product development process. You’ll collaborate closely with engineers, TPMs, and product leaders to ensure our quality efforts scale with our product complexity. You will influence testing best practices across teams, driving improvements in automation coverage, performance, and reliability.

This is a highly technical and hands-on role that requires deep experience in automation, a strategic mindset, and the ability to thrive in a dynamic, cross-functional environment.

If you join Blink, you will:

• Design and implement end-to-end automation frameworks and testing strategies for complex, cross-team features.
• Own the automation roadmap for one or more modules. Defining goals, execution plans, and success metrics.
• Anticipate risks, identify testability gaps, and drive continuous improvements in quality and efficiency.
• Build and maintain functional, performance, and security automation tools integrated into CI/CD pipelines.
• Collaborate across engineering, product, and QA teams to ensure comprehensive coverage and reliable releases.
• Provide technical mentorship to SDETs and engineers, elevating automation design and code quality.
• Champion best practices in test design, observability, and automation standards across the organization

About You:

We all help each other on the team. Where you have previously worked or gone to school isn’t important to us.

The following, however, is:

• You have at least 7+ years of experience in SDET contributions and Tooling 
• You are passionate about delivering high-quality, reliable products through automation and smart testing strategies for both front end and backend.
• You have advanced proficiency in testing methodologies, automation frameworks, and debugging techniques.
• You are experienced in building and maintaining test infrastructure across multiple platforms and services.
• You have strong command over algorithms, data structures, database and scripting languages (SQL, Python, JavaScript, Typescript or Java).
• You have hands-on experience with CI/CD pipelines, performance tools, and monitoring systems.
• You have a deep understanding of API and backend testing, ideally with experience in AWS and systems like Kafka or Kinesis.
• Hands-on experience in setting up the Performance/Load/Stress test infrastructure.

Extras:

• Experience with cloud-native QA automation architecture and tool implementation
• Working knowledge of event-driven systems and distributed test environments.
• Familiarity with observability and monitoring tools for debugging in production.

About the Role

You are an engineer who, above all, is excited to build products that give our customers the best possible experience purchasing prescription medications. You have professional experience working on a team turning ideas into reliable, maintainable code — and ideally, you are eager to apply AI and machine learning to make healthcare more accessible, affordable, and personalized.

We believe in using a small number of well-known tools like AWS, Python, Javascript, MySQL/Postgres, and Linux. We are looking for engineers that value simplicity, pragmatism, and a bias toward action, and who are passionate about building products that bring real value to our customers.

Sr Software Engineers at Blink are responsible for building our world-class products. Your job is to take ownership over one of our hardest problems, envision and refine strategic solutions, and drive execution like an entrepreneur.

You will collaborate closely with a talented, cross-functional team of designers, product managers, data scientists, marketers, and operators. Through these partnerships, you’ll grow our business, build our core platform, and—above all—make sure that our customers have access to the least expensive and highest satisfaction pharmacy experience on earth.

At Blink, we determine the specific focus of engineering roles through the interview process. Key potential areas of ownership include:

• Our telemedicine platform
• Our home delivery experience
• Our growth team
• Our core pharmacy platform
• New product line development
• AI-powered personalization, automation, and decision-support systems
  
  

How to Achieve Success / Acumen

All Blinkers are expected to operate with our value of “Good Giving” in mind. Our culture is infused with the dedication and enthusiasm of employees who continuously strive to make a difference. Here’s how you will do that in this role:

Good Execution — Do your best work

• Design new APIs to power innovative features
• Fix performance problems and debug production issues
• Perform peer code and architecture reviews
• Build new features, write unit tests, and lead the release of these features to production
• Develop and A/B test new ReactJS components to improve our user experience
• Design, build, deploy and use AI/ML solutions for telemedicine triage, prescription guidance, fraud detection, personalization, and operational automation
  
  

Good Owner — Be the CEO of your role

• Help the team ship new products and features successfully with the right skills, mentorship, and organizational resources to deliver amazing experiences for our patients
• Coach, mentor, and develop engineers to reach individual goals while fostering cross-functional collaboration and product success
• Take responsibility for the long-term success of product projects and people
• Champion responsible adoption of AI across engineering and product teams, ensuring solutions are ethical, reliable, and scalable
  
  

Good Learning — Learn something new every day

• Demonstrate curiosity and an interest in learning new techniques and improving upon best practices to stay up-to-date with current and emerging trends
• Lead by example: put new ideas into action, fail fast, and learn from each experience
• Stay ahead of advances in AI/ML (including LLMs, NLP, recommendation systems, and predictive analytics) and apply them thoughtfully to our products
  
  

Good Feedback — Consider the perspective of others

• Listen actively and respond effectively through a variety of channels
• Give and receive candid and constructive feedback
• Promote trust and encourage teamwork to allow the product team to do their best work
  
  

Desired Experience

• 5+ years in a software engineering role
• You want to work in a highly collaborative environment: we believe a team can be stronger than its individual parts
• Independent and curious, comfortable owning features from design through delivery to production
• Experience with one or more modern programming languages (Python, JavaScript, etc.)
• Willingness to dive into a large code base and contribute immediately
• Enjoy writing code that is understandable, maintainable, and testable
• Collaborative and communicative — you love being part of a diverse team, building consensus, and establishing credibility. You are a Class-A communicator: curious, thoughtful, clear, and (mostly) correct.
• BE/BTech degree from a top institution
  
  

AI-Preferred Skills

• Experience with AI/ML frameworks (e.g., MCP servers, n8n, Google ADK, Vector DBs and Langchain)
• Familiarity with LLMs, Fine tuning,  and generative AI for personalization and patient support and order workflow
  
• Experience integrating AI into production-grade systems with measurable business impact
• Interest in applying AI responsibly in healthcare to maximize patient value and trust

As Engineering Director at Blink Health you are respected by colleagues for your industry leadership experience, ability to inspire and attract key talent, passion for customers and track record of delivering high-quality products that delight customers. 
In this role, your team will own the platforms and services powering Blink’s Speciality Medication business. You will lead a team of software engineers to ensure Blink’s platform is The Easiest Way to Buy Prescription Meds, while evolving underlying platform systems to scale with Blink’s expected hyper growth. Your team is proud of what they ship because you’ve built a culture of quality and continuous improvement. You will define and drive a long-term roadmap for your team, and you will scale your leadership to multiple teams.

Success:
An engineering leader at Blink Health is respected by colleagues for your deep technical contributions to the industry, your ability to inspire and attract key talent, your passion for customers and the impact of your work, and your ability to deliver large scale engineering solutions with quality. You will be responsible for leading engineering teams to build industry-defining services and products, leveraging modern cloud technology, and data technologies, setting long term technical vision, and creating a culture of quality and continuous improvement. You will be managing multiple full stack teams, responsible for building our world class product suite.

At Blink Health You Will:

• Provide technical leadership to build, develop and scale our platform that overhauls the healthcare space
• Identify business opportunities and define technical vision for your team and the company
• Be a domain expert on healthcare technology and products and an empathetic partner to our customers
• Inspire, recruit and mentor a team of high performing engineers.
• Develop a scalable engineering culture for top talent engineers
• Drive technology adoption in the team by promoting AI native culture

What We Look For:

• Proven track record of building top talent and high-performance teams, directing multiple teams and engineering managers
• Experience managing large scale systems in rapid growth environments
• Experience with modern web frameworks (e.g. React/Redux), Django/Flask, public cloud platforms (e.g. AWS) and data pipelines. 
• Familiarity with containerization, microservices architecture, continuous integration and
  delivery
• Leadership on multiple well-known products throughout their life cycles, from idea conception to product release and maintenance
• Proven success in working with product, marketing, business, and operations divisions
• Examples of engineers for whom you’ve guided their technical and career progress
• BA/BS in Computer Science or equivalent practical experience, MS/PhD preferred

How to achieve success/acumen:
You are a Director who, above all, is excited to build products that give our customers the best possible experience purchasing prescription medications. You have professional experience working on a team turning ideas into reliable, maintainable code.

• Managed career development
• Managed timelines
• Allocated Engineering resources
• Managed code reviews and career development
• Built web applications professionally
• Want to work in a highly collaborative environment: we believe a team can be stronger than its individual parts
• Are independent and curious
• Are comfortable owning features from design through delivery to production
• Have experience with one or more modern programming languages
• Are willing to dive into a large code base and contribute immediately
• Enjoy writing code that is understandable, maintainable, and testable
• Can communicate effectively with other engineers, designers, product managers, and anyone else at Blink
• Are excited to both design scalable APIs and elegant front-end code
• Good Execution - Do your best work
• Perform peer code and architecture reviews
• Build new features, write unit tests, and lead the release of these features to production.
• You enjoy diving into the system designs, technical trade offs(speed vs. quality)

Good Owner - Be the CEO of your role 

• Help the team ship new products and features successfully with the right skills, mentorship and organizational resources to deliver amazing experiences for our patients
• Coach, mentor and develop engineers to reach individual goals while fostering cross- functional collaboration and product success 
• Take responsibility for the long term success of product projects and people 

Good Learning - Learn something new every day 

• Demonstrate curiosity and an interest in learning new techniques and improving upon best practices to stay up-to-date with current and emerging trends
• Lead by example putting new ideas into action, failing fast and learning from each experience

Good Feedback - Consider the perspective of others 

• Listen actively and respond effectively through a variety of channels
• Give and receive candid and constructive feedback
• Promote trust and encourage teamwork allow the engineering team to do their best work  

Desired experience:

• 15+ years experience having worked in an engineering role 
• Familiarity with cloud infrastructure (AWS, GCP, Azure, etc).
• Want to work in a highly collaborative environment: we believe a team can be stronger than its individual parts
• Experience with some of our tech stack: Python, AWS, MySQL, Redshift, Aurora, Linux,
• Docker, Ansible, and/or nginx. Craft tools to help other teams achieve their goals and improve performance.
• You have experience building micro services and workflows that scale
• Can communicate effectively with other engineers, designers, product managers, and anyone else at Blink
• Are excited to both design scalable APIs and elegant front-end code
• Collaborative and Communicative - you love being part of a diverse team, building consensus, and establishing credibility. You are a Class-A communicator: curious, thoughtful, clear, and (mostly) correct.
• BE/BTech degree from top institution; MBA or CompSci degree preferred but not required.

Responsibilities

• Establish and evolve SRE best practices across the organization, including reliability principles, error budgets, incident response, postmortems, and operational readiness standards.
  
  
• Define and drive observability strategy for system health, performance, and reliability, including SLIs/SLOs, alerting quality, dashboards, and service health indicators.
  
  
• Design and implement software-driven solutions within the infrastructure domain, automating manual processes and eliminating operational complexity and toil.
  
  
• Act as a technical leader and force multiplier, helping set priorities and influencing decision-making across core cloud infrastructure, reliability tooling, and platform architecture.
  
  
• Take ownership of large, ambiguous initiatives, driving them from concept to delivery while aligning stakeholders across engineering, security, and product.
  
  
• Combine deep knowledge of software development, infrastructure, and security to improve platform resilience, scalability, performance, and compliance.
  
  
• Proactively identify systemic risks and reliability gaps, recommending and leading platform upgrades and architectural improvements before they become incidents.
  
  
• Partner with engineering teams to improve developer workflows, tooling, and operational maturity, increasing productivity while reducing cognitive load.
  
  
• Provide technical mentorship, architecture guidance, and high-quality design and code reviews for engineers across infrastructure and product teams.
  
  
• Lead by example in documentation and knowledge sharing, ensuring systems and processes are well-understood and not dependent on individual ownership.
  
  
• Participate in and help mature incident response, escalation practices, and post-incident learning across the organization.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 7+ years of experience in site reliability engineering, infrastructure engineering, or platform engineering roles, with demonstrated impact at scale.
  
  

Reliability & Troubleshooting

• Expert-level, methodical troubleshooting across the entire stack, from application to kernel to network.
  
  
• Strong command-line proficiency and deep expertise in Linux systems and operating system fundamentals.
  
  
• Advanced understanding of networking concepts including load balancing, proxies, DNS, TCP/IP, NAT, and service-to-service communication.
  
  

Software & Automation

• Experience working across multiple languages (e.g., Python, Go, Bash, and familiarity troubleshooting application stacks such as React or similar).
  
  
• Strong track record of automating repetitive and complex operational work to reduce toil and increase reliability.
  
  
• Ability to design and build internal tools (Python or Go) that standardize and scale engineering practices.
  
  
• Comfortable operating in an agile environment, with disciplined testing and quality practices.
  
  

Cloud & Platform Engineering

• Deep experience with cloud platforms (AWS preferred, GCP/Azure acceptable), particularly managed services and production-grade architectures.
  
  
• Strong expertise in Kubernetes and container orchestration (EKS, Helm), including lifecycle management and operational best practices.
  
  
• Proven experience designing and implementing observability systems, including metrics, logging, tracing, dashboards, and alerting.
  
  
• Deep understanding of container technologies, security scanning, secrets management, dynamic configuration, and microservices architectures.
  
  
• Familiarity with service meshes and advanced traffic management concepts.
  
  

Infrastructure as Code

• Experience designing and maintaining company-wide IaC codebases using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Ability to think holistically about infrastructure design, cost, reliability, security, and long-term maintainability.