Senior DevOps Engineer, Progyny
Machine Learning Platform Focus
$165-175k
+ Bonus program + Company equity
More information about location
3+ days a week in office
Fertility benefits management company
Be an early applicant
Fertility benefits management company
501-1000 employees
Be an early applicant
$165-175k
+ Bonus program + Company equity
More information about location
3+ days a week in office
501-1000 employees
Company mission
To empower healthier, supported journeys through transformative fertility, family building and women’s health benefits.
Role
Who you are
- 7+ years in DevOps or MLOps roles for a moderate-to-large sized software or ML engineering organization
- Experience supporting ML teams or working in a data science/ML infrastructure environment is preferred
- 4+ years working with AWS (ex: VPC, IAM, S3, SageMaker, Bedrock, etc.)
- Demonstratable AWS knowledge securely connecting multiple accounts for data transfer
- Solid experience with IaC (Infrastructure as Code) models and Terraform/HCL conventions (control logic, patterns and composition, etc.)
- 5+ years GitOps automation on common SCM platforms (GitHub, GitLab)
- Deep experience with Git-flow and code branch management models & considerations (ex: trunk-based vs. feature-based)
- Experience supporting ML and data workflows in production (e.g., ML pipeline orchestration with Airflow, Dagster, Kubeflow, or similar); Kubernetes + Kubeflow is a plus
- Familiarity with ML model deployment techniques (e.g., model versioning, A/B testing, canary releases, online vs. batch inference)
- Proven experience integrating CI/CD with model training and validation workflows
- Familiarity with model registry solutions and metadata tracking (e.g., MLflow, SageMaker Model Registry)
- Proven experience with build and package management tools (e.g., Jenkins, GitHub Actions, NPM, Maven, PyPi, Conda)
- Demonstratable knowledge of authentication and authorization access patterns (ex: OIDC, common flows, etc.)
- Demonstratable networking knowledge (TCP stack, CIDRs, DNS, troubleshooting, etc.)
- Demonstratable security knowledge (PKI, restricted data, etc.) and integration to relevant source systems (authorization store, certificate managers, secrets managers, etc.)
- Demonstratable Linux and shell skills
- Demonstratable SCM skills
- Comfortability with Bash and Python
- Some experience working in a regulated business environment (ex: Healthcare) is a plus
What the job involves
- This role will join our Insights & Actions team as well as be an active member of our DevOps Guild: a lean, experienced team with direct stakeholders in engineering, data science, machine learning (ML), operations, SREs, security, compliance, etc
- Our platform follows the goal of being cloud native with modern patterns, thoughtful selection of technology solutions, and a clear eye on security/privacy control considerations among multiple other sibling non-functional considerations
- We aspire to provide efficient and reliable GitOps and automation
- We are social beings that emphasize communication and collaboration through mechanisms like practice guilds, peer development, documenting our decisions and plans, and maintaining awareness of industry patterns and practices evolution
- As a Senior DevOps Engineer supporting an ML-focused team, you will help deliver reliable pipelines and platforms to enable scalable ML model development, training, and deployment
- As part of the guild, you are a member of a lean remote team of experienced polyglot engineers adept at software engineering, data engineering, and effective collaboration at a distance
- You will be responsible for working directly with the Insights & Actions team that includes data scientists, and platform engineers to support automated, repeatable build and deploy of ML environments, workflows, models, and services
- Your work will focus on provisioning compute on cloud using IaC, integrating with larger Progyny-wide patterns, assisting with the python library registry, logging patterns, and supporting CICD patterns
- Future growth opportunities may include optimizing model lifecycle management, automating validation and quality assurance for ML outputs, and supporting the effective team sport that is ML solutions engineering at Progyny
Our take
Progyny stands at the forefront of fertility benefits management in the United States, reshaping the landscape of fertility and family-building benefits through its holistic approach that caters to employers, patients, and physicians alike. As the demand for fertility benefits surges amidst a competitive labor market, Progyny has experienced remarkable growth, boasting a client base exceeding 370 across 40 industries.
In a testament to its commitment to comprehensive care, Progyny has recently expanded its provider network to encompass reproductive urologists (RU), recognizing the significance of male-factor infertility which accounts for approximately one-third of infertility cases. This expansion extends coverage and accessibility to millions, underscoring Progyny's dedication to addressing diverse fertility needs.
Through its strategic expansions and unwavering dedication, Progyny continues to pioneer advancements in fertility and family-building benefits. by fostering inclusivity and providing unparalleled support, Progyny remains at the forefront of revolutionizing reproductive healthcare, shaping a brighter future for individuals and families alike.
Steph
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Nov 2017
$5m
EARLY VC
May 2017
$10m
SERIES B
Total funding: $98.3m
Company benefits
- Family friendly benefits: Paid family and parental leave-, fertility and family building benefits (including egg freezing, IVF, and adoption support), family care fund and Parents’ Employee Resource Group
- Health, dental, vision and life insurance options for employees and family
- Free in-person, virtual and text-based mental health and wellness support
- Paid time off, including vacation, sick leave, personal days and summer flex time
- Company equity
- Bonus program
- 401(k) plan with company match
- Access to on-demand legal and financial advice
- Company social events
- Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office
Company HQ
Garment District, New York, NY
Leadership
Pete Anevski
(CEO, not founder)Held several other executive positions at the company, such as COO & CFO, before becoming CEO in 2022. Former Executive VP & CFO of WebMD.
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