Performance Engineering

Performance Engineering Jobs

18 jobs found

Today

Senior Software Engineer

Huxley Chicago, IL

Chicago, IL

Today

$160k - $160k/yr Full time Backend Developer Senior APIs

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Job Description

The Senior Software Engineer position supports a Chicago-based trading technology startup building and scaling systems used across trading, market data, clearing, and post-trade workflows. This is a hands-on high-performance Java backend role covering work from design through production, with an onsite option in Chicago or fully remote participation.

Role Responsibilities

Develop and scale systems that support trading, market data, clearing, and post-trade workflows
Build and improve high-performance backend services for real-time market data, exchange integrations, regulatory workflows, and trade processing
Convert business requirements into technical solutions
Participate in architectural discussions and contribute to reliable, scalable implementation
Handle complex technical challenges with ownership of outcomes
Work on initiatives end-to-end, from design through production

Required Qualifications

4+ years of backend engineering experience
Strong experience with Java and Spring Boot
Experience using APIs, distributed systems, messaging/event-driven architectures, and SQL
Ability to translate business requirements into technical solutions

Preferred Background

Experience in trading, fintech, market data, or other high-throughput systems is a plus
Experience with FIX, exchange connectivity, clearing, or risk systems is helpful but not required

Tech Stack

The role focuses on Java, Spring Boot, and SQL.

Work Location and Schedule

Based in Chicago, IL (hybrid). The role supports either working onsite in Chicago’s Loop 2-3 days per week or working fully remote.

Compensation

USD 160,000 per year (fixed).

Eligibility and Sponsorship

Candidates must be U.S. Citizens or Green Card holders
Sponsorship is not available

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Today

DRAM Architect - Sr Engineer

Micron Technology Inc Boise, ID

Boise, ID

Today

Full time Electrical Engineering Senior Architect

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Job Description

Micron Technology Inc is seeking a DRAM Architect to help shape high-impact DRAM system and component solutions in an onsite role in Boise, ID. In this position, you will focus on optimizing power, performance, and cost while working toward new memory capabilities and system-level improvements that support aggressive performance targets and time-to-market goals.

Working with global, multi-functional teams, you will analyze real system behavior, validate solution effectiveness through data-driven trade-offs, and communicate complex technical concepts across engineering backgrounds. The role also emphasizes driving innovation for future memory generations in a dynamic work environment.

Responsibilities

Develop comprehensive DRAM system and component solutions, including specifications and methodologies, to optimize DRAM performance, power efficiency, and cost.
Partner with multi-functional teams to brainstorm and implement innovative ideas, evaluate solution efficiency, and make adjustments as needed, while driving innovation in future memory generations.
Analyze system behavior to assess solution effectiveness, then apply data-driven optimizations and trade-off decisions.
Explain complex technical concepts to engineers across different backgrounds and disciplines.

Requirements

3+ years of proven experience in memory design, product engineering, or system architecture and usage.
Self-motivated approach with exceptional problem-solving skills and a drive to discover new solutions.
Excellent communication and interpersonal skills.
Bachelor’s degree or equivalent experience in Electrical Engineering, Computer Engineering, or a related field.

Preferred Qualifications

Experience with LPDDR5/6, DDR5/6, and GDDR6/7.
Ability to identify and analyze complex organizational problems and develop innovative solutions.
Experience with memory system modeling, performance simulation, or architectural trade-off analysis.
Familiarity with JEDEC standards, DRAM specifications, and cross-layer (system-to-silicon) optimization.

Benefits

Choice of medical, dental, and vision plans
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time-off program
Paid holidays

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3d ago

Staff GenAI Engineer - Application Performance Monitoring (APM)

Datadog New York, NY

New York, NY

3d ago

$234k+/yr Full time Ai Driven Monitoring Application Performance Monitoring Artificial Intelligence

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Job Description

Datadog’s Application Performance Monitoring (APM) team is seeking a Staff-level software engineer to lead agentic GenAI/ML work that moves from research to production. This role partners across teams to design, train, evaluate, and deploy models at scale, while helping build automated investigation and triaging capabilities that support end users.

Role Overview

This position serves as a technical leader within the APM organization. The focus is on applying GenAI and machine learning to create models and workflows that support automated investigation and triaging, with an emphasis on scaling and reliability in a product-driven environment.

Key Responsibilities

Lead GenAI and machine learning initiatives within the APM organization, taking projects from concept through production delivery.
Design, build, and benchmark GenAI/ML models using state-of-the-art approaches.
Collaborate with cross-functional teams to create automated investigation and triaging tools.
Bring a product mindset to engineering execution, advocating for the end user in day-to-day technical decisions.
Provide technical direction for teams navigating ambiguity, scaling constraints, and evolving requirements.
Mentor engineers and shape engineering culture through leadership in design reviews, technical talks, and working groups.

Required Qualifications

BS/MS/PhD in a scientific field, or equivalent experience.
10+ years of relevant engineering experience, including experience acting as a technical lead.
Demonstrated record of leading large-scale GenAI/ML programs in a product-driven context.
Significant experience across model deployment, development, training, fine-tuning, and/or evaluation.
Ability to drive initiatives across cross-functional teams and handle ambiguous technical challenges.

Location and Work Arrangement

New York, NY (hybrid)

Compensation

USD 234,000 per year

Benefits

Build tools for software engineers and use those tools to accelerate development.
High influence on product direction and business impact.
Work with skilled, knowledgeable, and kind teammates who support teaching and learning.
Competitive global benefits.
Continuous professional development.
#LI-Hybrid

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3d ago

Staff Software Engineer - Logs Management

Datadog New York, NY

New York, NY

3d ago

$244k - $305k/yr Full time Backend Developer Data Data Analysis

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Job Description

Datadog’s Logs organization is looking for a Staff Software Engineer to help shape the next generation of log ingestion, querying, and intelligent log management. This role is focused on setting technical direction and delivering systems that improve performance at scale, while also exploring AI-driven approaches to how logs are managed and used.

Location: New York, NY (hybrid)
Compensation: USD 244,000 - 305,000 per year

Responsibilities

Work with Product Managers to clarify ambiguous requirements and identify the most impactful solutions for customers.
Lead technical strategy and execution, including system design for log query performance and ingestion at scale.
Research, prototype, and collaborate on initiatives across AI-powered log management, security and business operations, advanced query capabilities, and external data source querying.
Mentor engineers across levels and help build a high-performing, collaborative team culture.

Requirements

Deep experience architecting and scaling backend systems, especially data-intensive or distributed infrastructure.
Strong ability to operate in ambiguous environments, combining drive, curiosity, and pragmatic decision-making.
Proven experience partnering with Product Managers and customers to define product direction and ship impactful features.
Expertise debugging complex systems and optimizing performance across real-time data pipelines.
Experience using AI agent tools as part of day-to-day engineering practices.
Demonstrated mentorship habits, leading by example and supporting the growth of others through collaboration.
Ability to use AI coding tools in daily workflows, including validating, critiquing, and refining AI-generated output.
Bonus: Motivation to push the boundaries of how AI can strengthen software engineering best practices and help build AI-enabled systems.

Benefits

Generous and competitive benefits package.
New hire stock equity (RSUs) and employee stock purchase plan.
Continuous career development and pathing opportunities.
Employee-focused best in class onboarding.
Internal mentor and cross-departmental buddy program.
Friendly and inclusive workplace culture.

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4d ago

Sr. Software Engineer

Versant Media New York City, NY

New York City, NY

4d ago

$140k - $170k/yr Full time Backend Developer Senior Ad Platform

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Job Description

Versant Media is hiring a Senior Software Engineer (Video Platform) to build and operate core capabilities for the company’s video platform ecosystem. This hybrid role supports end-to-end video delivery across digital, OTT, and authenticated experiences, including playback integrations, live and on-demand pipelines, and platform observability.

Role Focus

You will work hands-on across the video delivery stack, covering client playback and SDK development, authentication and user flows, live and VOD processing, ad insertion, and monitoring. The position also requires collaboration with Product, Distribution, Ad Tech, Data, and Editorial teams to deliver integrated video experiences.

Key Responsibilities

Lead development of video player frameworks and SDKs across web, iOS, Android, and CTV.
Enable seamless integration between playback experiences and authentication, personalization, and analytics.
Improve startup time, buffering, bitrate adaptation, and overall QoE across devices and network conditions.
Ensure platform support for real-time and near-real-time workflows for live sports, news, and event-based programming.
Implement solutions for advertising using DAI and core ad tech integrations across the platform landscape.
Deliver secure, scalable integrations with MVPDs, identity providers, and subscription platforms.
Integrate with personalization services and data platforms to apply user-specific context and optimizations.
Drive execution across multiple concurrent initiatives with predictable delivery, high quality, and alignment to business priorities.
Participate in code reviews, pair programming, and knowledge-sharing to elevate team practices.
Mentor junior engineers and contribute to a culture focused on continuous learning and improvement.
Ensure security, performance, and maintainability are core requirements for solutions.
Partner closely with Product, Distribution, Ad Tech, Data, and Editorial teams to deliver integrated video experiences.
Work with infrastructure, cloud, and DevOps teams to support scalable, reliable platform operations.
Coordinate with product and architecture teams to align on technical direction and business priorities.

Required Qualifications

6+ years of experience in video engineering or streaming platforms supporting media, broadcast, or OTT environments.
Experience with HLS/DASH, DRM, CDNs, encoding/transcoding, and player frameworks.
Proficiency in modern JavaScript/TypeScript, HTML/CSS, and frameworks such as React, Vue, or Angular.
Experience developing and integrating backend services in Node, Python, or Go.
Familiarity with ad-supported video (AVOD) and monetization workflows.
Strong understanding of Identity, Personalization, Authentication, and Subscription systems.
Expertise with analytics, observability, and performance monitoring.
Experience with AWS or Azure and CI/CD methodologies.
Strong communication skills and a collaborative mindset.

Technologies

HLS, DASH, DRM, CDNs
Encoding/transcoding
Player frameworks
JavaScript, TypeScript
HTML/CSS
React, Vue, Angular
Node, Python, Go
AVOD
Analytics, observability, performance monitoring
AWS, Azure
CI/CD

Location and Work Model

New York City, NY or Englewood Cliffs, NJ (hybrid).
Hybrid schedule: 3 days onsite.
Englewood Cliffs office amenities include free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up.
Shuttle service is available from/to the Englewood Cliffs campus with pickup locations across Manhattan’s East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus.

Compensation

USD 140,000 - 170,000 per year.

Additional Information

Candidates may be required to attend an in-person interview with a VERSANT Media employee at one of the company’s locations prior to a hiring decision.
VERSANT Media provides equal employment opportunities without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and need support during the application and/or recruitment process, you may request reasonable accommodation by emailing candidateaccessibility@versantmedia.com.
VERSANT Media is committed to fair and equitable compensation practices and includes a good faith pay range to comply with applicable state and local pay transparency laws.
VERSANT Media is not accepting unsolicited assistance from search firms for this role.

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5d ago

Principal Machine Learning Engineer

On behalf of Next Deavor New York, NY

New York, NY

5d ago

$200k - $250k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

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Job Description

The Principal Machine Learning Engineer will own the end-to-end machine learning infrastructure behind real-time compliance enforcement systems, including training, evaluation, and production serving. This is a hybrid role based in the New York City Metro area, with 3 days onsite.

Role Focus

Own ML infrastructure for real-time compliance enforcement systems, driving model training, evaluation, and production serving. The work includes building reliable pipelines and deployment mechanisms that support safe model updates and ongoing quality monitoring.

Responsibilities

Build and own training pipelines covering data preparation, reproducible fine-tuning runs, experiment tracking, and release automation
Build evaluation infrastructure with automated evaluation runs, regression gates, dashboards, and dataset versioning
Own production model serving including low-latency inference, batching, optimization, autoscaling, and cost management
Ship model updates safely using versioning, canarying, rollback, and drift monitoring
Create repeatable adaptation workflows to update models for new domains and customer needs
Turn expert labels and reviewer feedback into clean training and evaluation datasets
Set the engineering bar for ML infrastructure as the team grows

Requirements

8+ years of software engineering experience, including 4+ years building infrastructure for ML or LLM systems in production
Hands-on experience with the modern LLM stack: PyTorch, distributed training, fine-tuning at scale (for example LoRA, SFT), and inference engines such as vLLM or TensorRT-LLM
Experience building evaluation harnesses, regression gates, or dataset pipelines, with strong understanding of precision, recall, and calibration
Proven ownership of production model serving with real constraints for latency, reliability, and cost
Strong fundamentals in Python, containers, CI/CD, cloud infrastructure, and observability
Ability to scope work, ship frequently, and make pragmatic build-vs-buy decisions
Experience collaborating closely with research partners and defining clear interfaces

Technologies

PyTorch
LoRA
SFT
vLLM
TensorRT-LLM
Python
Containers
CI/CD
Cloud infrastructure
Observability

Additional Skills That May Help

Experience productionizing small or specialized language models
Experience with structured-output serving or constrained decoding in production
Prior work in regulated or high-stakes domains (fintech, healthcare, legal, trust and safety)
Experience deploying models into customer-controlled environments

Compensation and Location

Pay range: USD 200,000 - 250,000 per year
Location: New York, NY (hybrid, 3 days onsite)
Work location details: Hybrid remote in New York, NY 10001

How to Apply

This role may fill quickly. Submit your resume to be considered.

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8d ago

Staff Software Engineer, Data Platform (FedRAMP)

Okta Bellevue, WA

Bellevue, WA

8d ago

$194k - $267k/yr Full time Backend Developer AWS Big Data

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Job Description

Okta is hiring a Staff Software Engineer to help build and operate a FedRAMP-aligned data platform, focused on streaming infrastructure and foundational services for analytics and ML.

Responsibilities

Design, implement, and take ownership of data-intensive, high-performance, scalable platform components
Partner with engineering teams, architects, and cross-functional partners on project development, design, and implementation
Participate in design reviews and code reviews, and perform analysis and performance tuning
Coach and mentor engineers to support team growth and engineering scale-up
Debug production incidents across services and multiple layers of the stack

Requirements

8+ years of experience in object-oriented languages, preferably Java
Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
Hands-on experience with data processing systems such as Flink, Spark, and Beam
Hands-on experience with storage and compute systems such as Snowflake and Hadoop
Hands-on experience with coordinators and schedulers such as those used in Kubernetes, Hadoop, and Mesos
Experience developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection, and memory management
Reliability engineering experience, including data quality, data observability, and incident management

Technologies

Java, Kinesis, Kafka, Flink, Spark, Beam
Snowflake, Hadoop, Kubernetes, Mesos, ElasticSearch

About the Team

Data Platform team builds foundational data services, systems, and data products for Okta that support user outcomes
Streaming analytics
Interactive end-user reporting
Data and ML platform to scale Okta capabilities
Telemetry for products and data

About the Position

Scale high volume, low latency distributed data-platform services and data products
Build foundational infrastructure to support Okta for years to come
Design, build, and deploy systems powering data analytics and ML
Work across an analytics infrastructure stack using modern technologies including Kinesis, Flink, ElasticSearch, and Snowflake

Nice to Have

Experience maintaining security, encryption, identity management, or authentication infrastructure
Hands-on experience leveraging major public cloud providers to build mission-critical, high volume services
Hands-on experience developing data integration applications for large scale (petabyte scale) environments across batch and online systems
Contributed to distributed systems at high volume or criticality, such as Kafka or Hadoop
Experience developing Kubernetes-based services on the AWS Stack

Federal Environment Requirements

Ability to access federal environments and/or have access to protected federal data
As a condition of employment, documentation establishing U.S. Person status (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee per 22 CFR 120.15) must be submitted upon hire

1mo ago Closed

$174k - $253k/yr Full time Senior Ai Ml Ai Workflows

1mo ago

Journeyman Software Engineer

Amentum Dahlgren, VA

Dahlgren, VA

1mo ago Closed

$90k - $110k/yr Full time .NET Core Atlassian Developer

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