Software-Engineer, Backend-Engineer, Data-Engineer Jobs

Originally posted on Himalayas

At Advarra, we are passionate about making a difference in the world of clinical research and advancing human health. With a rich history rooted in ethical review services combined with innovative technology solutions and deep industry expertise, we are at the forefront of industry change. A market leader and pioneer, Advarra breaks the silos that impede clinical research, aligning patients, sites, sponsors, and CROs in a connected ecosystem to accelerate trials.

Company Culture

Our employees are the heart of Advarra. They are the key to our success and the driving force behind our mission and vision. Our values (Patient-Centric, Ethical, Quality Focused, Collaborative) guide our actions and decisions. Knowing the impact of our work on trial participants and patients, we act with urgency and purpose to advance clinical research so that people can live happier, healthier lives.

At Advarra, we seek to foster an inclusive and collaborative environment where everyone is treated with respect and diverse perspectives are embraced. Treating one another, our clients, and clinical trial participants with empathy and care are key tenets of our culture at Advarra; we are committed to creating a workplace where each employee is not only valued but empowered to thrive and make a meaningful impact.

Job Overview Summary

The Staff Software Engineer is a recognized technical expert with deep domain knowledge, responsible for designing and implementing software architecture for current and future products. This role evaluates existing and new designs for quality, scalability, and long-term viability. The Staff Software Engineer solves highly complex problems in the present while ensuring solutions align with future strategic initiatives. Additionally, this role influences strategic direction within the product line, leads technical direction for large projects/programs, and mentors engineers to elevate overall engineering excellence.

This is a hands-on technical leadership role responsible for the architecture, development, and operation of scalable data and AI systems powering clinical research products. Key responsibilities span document processing and information extraction, agentic AI applications and orchestration, data modeling and pipeline engineering, automated testing and CI/CD, model evaluation, and production observability, with a focus on reliability, performance, and cost efficiency. We value strong engineering fundamentals, demonstrated ability to learn quickly, and adaptability to new tools and technologies. Prior experience with our specific platforms is helpful but not required.

Job Duties & Responsibilities

• Drive technical strategy and architecture within one or more product lines, ensuring alignment with enterprise architecture, standards, and business objectives defined by architects and leadership.

• Own end-to-end architecture for the product line, ensuring systems are scalable, reliable, and maintainable while adhering to broader organizational guidelines.

• Translate architectural direction into actionable designs and implementations, bridging high-level strategy (architect) with execution (engineering teams).

• Lead complex, cross-functional, high-impact technical initiatives within the product line, particularly those spanning multiple teams and/or components.

• Ensure consistency and quality of design across teams within the product line, establishing and reinforcing best practices, patterns, and standards.

• Partner closely with architects to implement and refine architectural direction, providing feedback based on real-world constraints and system behavior.

• Drive resolution of the most complex technical challenges within the product line, especially those involving ambiguity, scale, or cross-team dependencies.

• Lead product-line-level design reviews, ensuring solutions meet long-term scalability, performance, and maintainability goals.

• Influence prioritization and technical trade-offs within the product line, aligning engineering decisions with business needs and architectural guardrails.

• Mentor and elevate staff and senior engineers within the product line, improving system design capability and technical decision-making across teams.

• Identify and address systemic risks and inefficiencies within the product line, including technical debt, performance bottlenecks, and operational gaps.

• Drive improvements in reliability, observability, and operational excellence for systems within the product line.

• Guide evaluation and adoption of technologies within the product line, ensuring alignment with architectural standards and long-term strategy.

• Champion and drive security strategy within the product line, adhering to Advarra security guidelines, proactively identifying and addressing application, and driving remediation efforts based on security scans and penetration testing results.

• Collaborate with cross-functional partners (Product, QA, Support, Cloud) to ensure cohesive delivery and high-quality outcomes for the product line.

• Act as the primary technical authority for the product line, conceiving and implementing transformative technical solutions with enterprise-wide implications, ensuring engineering efforts are cohesive, aligned, and forward-looking.

• Architect reliable data pipelines with explicit data contracts, schema evolution, end-to-end lineage, versioning, and idempotent processing.

• Build and productionize information extraction pipelines, agentic AI applications, and automated evaluation frameworks.

• Establish end-to-end observability across data quality, pipeline reliability, model performance, and inference cost, including longitudinal metrics and automated regression detection.

• Optimize model selection and inference orchestration to balance quality, latency, throughput, and cost.

• Partner with Data Science, Architecture, and Infrastructure teams to drive delivery and establish reusable engineering patterns, shared tooling, and clear operational ownership.

Location

This role is open to candidates working remotely in the United States.

Basic Qualifications

• Bachelor’s degree in information systems, computer science, engineering, related discipline, or equivalent work experience.

• 12+ years of software engineering experience, including significant time in senior level roles with increasing technical leadership responsibility.

• Proven experience designing and owning architecture for complex, mission critical distributed systems.

• Demonstrated deep expertise in modern backend and/or web technologies (e.g., Python, Java, Rails, .NET, Frontend frameworks, distributed systems, APIs, cloud platforms, databases), with experience guiding technology decisions.

• Experience mentoring and developing senior level engineers and influencing engineering best practices within a team or product area.

Preferred Qualifications

• Experience building software in healthcare, life sciences, or other highly regulated industries (e.g., HIPAA, FDA, or similar compliance environments).

• Working knowledge of clinical trial process and medical informatics.

• Hands-on experience designing, delivering and applications on AWS, including use of cloud-native services.

• Demonstrated success designing for scale and high availability, including performance optimization and fault-tolerant system design.

• Experience implementing and driving observability practices, including logging, monitoring, tracing, and alerting in distributed systems.

• Experience designing and operating production data pipelines and distributed data processing systems.

• Experience with automated testing, continuous integration and delivery, cloud deployment, and operational monitoring.

• Experience taking AI/ML workflows from prototypes into reliable production systems.

• Strong understanding of data architecture and modeling, schema design and evolution, data quality management, and data lineage

Physical and Mental Requirements

• Sit or stand for extended periods of time at stationary workstation

• Regularly carry, raise, and lower objects of up to 10 Lbs.

• Learn and comprehend basic instructions

• Focus and attention to tasks and responsibilities

• Verbal communication; listening and understanding, responding, and speaking

Advarra is an equal opportunity employer that is committed to providing a workplace that is free from discrimination and harassment of any kind based on race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions, sexual orientation, and gender identity), national origin, age, disability or genetic information, or any other status or characteristic protected by federal, state, or local law.

The base salary range for this role is $ 143,559- $ 277,713. Note that salary may vary based on location, skills, and experience and may vary from the amounts listed above. This position may also be eligible for a variable bonus in addition to base salary as well as health coverage, paid holidays, and other benefits.

Originally posted on Himalayas

Who we are

MixRank processes petabytes of data every month from web crawling. We have hundreds of customers using our data products including Google, Amazon, Facebook, Intel, and Adobe, across industries Sales, Marketing, Finance, and Security.

Our team is 50+ full-time, full-remote from 20+ countries. We're growing, profitable, employee-owned, no dependence on outside funding. Applicants from all geographies and backgrounds are welcome.

We are looking for passionate individuals for whom programming is not just a job but it’s something they love to do. We're obsessed with computers, programming, big data, databases, compilers, hardware, math, data science, and the internet. Does this sound like you? Please apply to join our team.

Our code base is very friendly to new contributors. You'll have a fully-functional development environment within hours (fully automated) and be pushing commits on your first day. Deployments to production happen multiple times per day and finish in less than 2 minutes. Effectively all of our codebase is written in Python, Rust, SQL, Javascript/TypeScript, and Nix. The core technologies you'll need familiarity with to be productive are Python, PostgreSQL, Linux, and Git.

We operate at a larger scale than typical startups. We operate two datacenters with high performance servers we've built that are capable of dealing with the volumes of data we process. We've implemented our own distributed file system. We do full-scale web crawls. We download and perform static analysis on the entire universe of Android APKs and iOS IPAs that are published. Unlike a typical startup where you'll spend half of your time in meetings, and the other half fixing bugs from Jira tickets— at MixRank you'll get to challenge yourself with difficult technical problems that will help you to grow as an individual.

Who we’re looking for

We're hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, devops, and more. We'll cater the role to whatever subset of these areas match your interests.

Beneficial (but optional!) experience includes PostgreSQL, Python, Rust, Linux, TypeScript, Nix, frontend/backend web development, and data mining.

We'll reply from a @ an email address. Check your spam folder if you don't see a timely reply.

Originally posted on Himalayas

Mission

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google,
leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking for a Software Engineer - AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products.

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.

What You’ll Do:

• Discover new sources of audio data and build reliable pipelines to bring them into our training datasets.
• Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
• Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement.

An Ideal Candidate Should Have:

• A degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience, with strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
• Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Nice to Have

• Experience with web crawlers, data acquisition, or distributed data-processing systems.
• Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
• Familiarity with ML training data, dataset quality, or audio processing.

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Originally posted on Himalayas

The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.

The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us!

What you’ll do

• You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
• You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
• You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
• You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
• You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
• You will help develop talent on your team by providing feedback and guidance, and leading by example.

What We Look For:

• You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
• You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
• Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform.
• You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
• You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
• Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Pay Grade - N

Equity Grade - 9

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $255,000

USA base pay range (all other U.S. states) per year: $173,000 - $233,000

Originally posted on Himalayas

Overview

The Ads DSE team builds the core capabilities that power Instacart's off-platform advertising, secure data collaboration (cleanrooms), automated taxonomy management, and their associated platform foundations. We are hiring a Senior Engineer II (L6) to co-own the technical roadmap, modernize our data solutions infrastructure, scale off-platform integrations and measurement capabilities, extend our cleanroom collaboration capabilities, and automate taxonomy change management workflows. This role is pivotal for cross-team collaboration, developer productivity, and AI-driven development initiatives.

You are a senior technical leader who designs and ships scalable, data‑intensive systems; drives cross‑team execution; and raises engineering standards. You’ll partner closely with Product, Data Science, Data Platform, and Governance teams to build reusable abstractions and deliver high‑impact features across our pillars: Off‑platform, Data collaboration (cleanrooms), Ads Taxonomy, Platform, and New Initiatives (AI). You will mentor L4/L5 engineers, act as an IC tech lead (no direct reports), and help define a future on‑call model and SLOs.

About the Job

• Technical leadership and roadmap
• Lead architecture for reusable, scalable systems across off‑platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.
• Evolve core abstractions, testing, CI/CD, observability, and cost efficiency; proactively drive modernization.
• Propose and drive initiatives on behalf of engineering management; align stakeholders and manage dependencies.

• Pillar execution
• Off‑platform: expand and harden integrations with external advertising platforms; design privacy-forward activation and identity workflows; reduce reliance on third-party intermediaries; and build measurement ingestion pipelines for performance signals such as reach, frequency, and conversions.
• Data collaboration (cleanrooms): extend our cleanroom orchestration and governance tooling (multi-cleanroom support, policy enforcement), develop reusable query templates and partner configurations, optimize pipelines for cost and performance, and scale secure data collaboration deployment and management.
• Ads Taxonomy: lead intake automation (UI + backend) and release workflow improvements to reduce manual effort and cycle time.
• Platform: assist with platform modernization and developer tooling improvements; contribute to an on‑call/SLO strategy as we mature operations.
• AI‑first engineering
• Use AI‑assisted tools daily for design, coding, tests, and docs; define team prompt patterns and workflows; identify AI opportunities in internal tools and ops.
• Product quality, privacy, and security
• Translate ambiguous requirements into pragmatic phases (POC, pilot, production) with clear SLAs/SLOs.
• Champion security‑by‑design, data governance, and privacy compliance (e.g., GDPR/CCPA) across pipelines.

• Mentorship and collaboration
• Mentor engineers up to L5; set code quality and review standards.
• Build cross‑team partnerships (Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms).

About You

Minimum Qualifications

• Proven senior‑level impact
• 8+ years of software engineering experience (typically 10+ for this level) delivering and operating large‑scale backend/data systems; led cross‑team projects and architectural decisions.
• Backend and data engineering
• Strong in Python and one of Ruby or Go; services/APIs (REST/gRPC); integrations with third‑party APIs (e.g., Meta, Google, The Trade Desk).
• Data pipelines with DBT and Airflow; Spark/Databricks; advanced SQL and performance tuning.
• Snowflake and AWS experience; cost‑aware design; workflow orchestration (e.g., Temporal) and event‑driven patterns.
• Ads/cleanrooms/privacy
• Experience with ad‑tech/programmatic and measurement integrations; cleanrooms (Snowflake DCR, shares/listings); identity/matching (UID2, RampID) and deconfliction.
• Working knowledge of privacy and compliance practices (GDPR/CCPA) in data workflows.
• Platform excellence
• CI/CD, containers, test strategy; observability (metrics/logs/tracing) with tools like Datadog; incident readiness and SLO thinking.
• AI fluency (must‑have)
• Demonstrated, recent hands-on use of AI‑assisted development tools (e.g., GitHub Copilot, Cursor, OpenAI‑based assistants) to improve speed and quality.
• Experience defining reusable prompts/workflows for team use and contributing to AI‑enabled internal tools or automation.
• Ability to evaluate when to apply AI vs. deterministic systems; familiarity with evaluation, guardrails, and security/privacy implications in AI usage.
• Collaboration and communication
• Clear technical writing; stakeholder management; ability to drive consensus and unblock execution.

Preferred Qualifications

• Direct experience with UID2/TTD integrations, Roku/Pubmatic/NBCU, or Meta Advanced Analytics/Google ADH pipelines.
• Catalog/taxonomy, entity lineage, or custom hierarchy systems.
• Snowflake governance patterns, partner data collaboration at scale.
• Vendor/partner management and external API certification programs.
• Building AI‑powered internal tools (e.g., Slackbots, data assistants).

Why this role is a great opportunity....

• Lead foundational, high‑visibility initiatives and translate them into measurable impact on revenue, efficiency, and partner adoption.
• Co‑own the technical roadmap with scope to define abstractions, standards, and AI‑first workflows across multiple pillars.
• Ship impactful features end‑to‑end: direct UID2 activation, Share Manager extensions, taxonomy intake automation, and platform modernization.
• Collaborate with strong cross‑functional partners and enjoy occasional trips to our Toronto office to connect with the broader engineering community.
• Help define our future on‑call model and operational excellence standards as we scale.

Originally posted on Himalayas