Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

You will join the Cloud Infrastructure team in New York. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions.

Your Future Role within QRT

• Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
• Drive the adoption of CI/CD practices to automate and streamline software delivery
• Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
• Work with developers to enhance application scalability, reliability and security in cloud environments
• Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
• Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
• Act as a liaison between engineering and business teams to facilitate effective communication and collaboration

Your Present Skillset

• Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
• Proficiency in scripting languages such as Python or Bash for automation
• Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
• Hands-on experience with distributed computing systems and processing large datasets
• Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
• Good understanding of Linux systems, including networking and performance optimisation
• Familiarity with time synchronisation concepts and protocols such as NTP or PTP
• Strong communication and collaboration skills, with the ability to work effectively across teams and departments

Base salary range for this position is $150,000 to $240,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

About the Role

iCapital is looking for a Software Developer in Test to work on the iCapital platform. In this role, you’ll bring practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), you’ll work closely with the Development and Testing team. The ideal candidate would be a combination of a hands on developer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing.

Responsibilities

• Build and implementation of robust automated test suites.
• Integration of automated test suites with the current build and deployment processes.
• Maintenance of automated tests to accommodate changes in system design and architecture.
• Integration of Automation framework with existing tools (JIRA).
• Create/Manage/Utilize Defect workflows with automated test execution.
• Design and publish meaningful metric to support automation test creation and execution.
• Build and implementation of performance test suites.
• Perform all types of testing – Functional. API, Automation, Performance and Load

Qualifications

• 8+ years of experience with QA engineering delivery experience
• 4+ years of delivery within Agile SDLC/teams ideally with CICD
• Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD)
• Experience with Java microservices and REST APIs and exposure to React front end
• Agile development approach
• Technologies: Java, JavaScript, IntelliJ/Eclipse
• CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
• AI Integration experience preferred
• Exposure to banking and/or finance environments preferred
• Testing: Junit, Playwright, Protractor, JMeter or similar

The base salary range for this role is $110,000 to $145,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).  

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

Who You Are:

Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.

As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps. 

Knowledge of the following is an advantage:

• Python, Go, Java
• Derivatives Pricing Models (SABR, SVI)
• Kafka, AWS SQS, or MQ
• Relational and non-relational Databases (Postgres, SQL Server, Databricks)
• Time series databases
• Spark
• FastAPI, Pydantic
• Jenkins
• AWS
• Caching Strategies and Implementations
• In-Memory Data Management
• Experience with Docker

What You’ll Do:

• Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For: 

• 6+ years of professional experience working in software development
• Experience with building data pipelines, APIs, and reporting tools
• Experience in Financial Technology
• Strong knowledge of data structures, their implementations, and optimization techniques
• University degree in computer science, physics, engineering, or equivalent programming experience

Bonus Points: 

• Experience with LLM Finetuning and RAG Optimization
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in quantitative trading

What We Offer:

• Competitive base salary and discretionary bonus
• Hybrid/Flexible Working Arrangements 
• Flexible Time Off (paid)
• 3% 401(k) company contribution
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Competitive family planning benefits for US employees 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Free daily snacks and weekly breakfasts/lunches 
• Employee Resource Groups
• Free coaching and counseling sessions through Headspace

Apply now and join us on our mission to engineer a new economic paradigm.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services. 

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges includes OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About the Role

The New York Times is looking for a Senior Software Engineer, with a focus on ML platform development, to join our Machine Learning & AI team to help solve creative challenges around Machine Learning infrastructure.

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements (SLAs) guaranteed by our platform.

This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.

Responsibilities:

• You will research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads

• You will build a platform to train and test algorithms that provide real-time content recommendations and personalization to our readers

• You will enhance ML platform's CI/CD and integration testing capabilities

• You will build a platform that supports the full Machine Learning workflow; from model training, testing and production deployment at high scale and low latency

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 5+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment

• Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)

• Experience working with Kubernetes, Docker, and CI/CD (Drone, Argo, Jenkins, etc)

• Experience leading the development of large-scale, data-driven, distributed multi-tenant systems

• Proficiency with at least one high-level programming language like Python or Go

Preferred Qualifications:

• Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, BigTable or other NoSQL datastores such as Cassandra, DynamoDB, Redis

• Familiarity with ML tooling such as Triton, TensorFlow, scikit-learn

• Experience building the infrastructure that power real-world machine learning applications like recommendation systems, bandits, etc.

• Experience engaging with partners to understand pain points, observe patterns, and identify opportunities for improvements

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

REQ-019502

#LI-hybrid

About the Role

The Reflections team at The New York Times is looking for a Backend Software Engineer. You will be part of a diverse team that includes native mobile engineers, web/backend engineers, QA, product managers, designers and data experts.

The Reflections team focuses on personalizing the Times experience, making it feel "yours." We aim to help users effortlessly discover and regularly engage with the journalism they value most, strengthening. and deepening their relationship with the Times.

This role is hybrid, located at our New York City headquarters, and typically requires coming into the office two days per week.

Responsibilities:

• Collaborate with design, product, web, backend, and native mobile engineers to refine requirements and develop new features across our platform.
  
  
• Design, build, and maintain backend services primarily in Go (Golang), developing scalable REST or GraphQL APIs and writing high-quality, production-ready code following engineering best practices.
  
  
• Develop and improve Go-based services and microservices, integrating with databases, internal systems, and cloud infrastructure.
  
  
• Contribute ideas that help shape the direction of our products and actively participate in solving meaningful technical challenges.
  
  
• Participate in technical discussions and architecture decisions with native mobile, web, and backend engineers, as well as owners of internal and external dependencies.
  
  
• Work across multiple parts of the stack when needed while maintaining a strong focus on backend service development in Go.
  
  
• Provide production support by participating in on-call rotations for the services and systems we build.
  
  
• Contribute to iteration on internal team processes and norms.
  
  
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
  
  
• You will report to the Engineering Manager
  
  

Basic Qualifications:

• 3+ years of full-time experience developing backend APIs using Go (Golang), including building REST or GraphQL services in production environments. Experience with additional backend technologies such as TypeScript, Node.js, or Express is a plus.
  
  
• 3+ years of experience working with SQL or NoSQL databases, such as PostgreSQL or DynamoDB, including designing schemas, writing queries, and integrating data storage with backend services.
  
  
• 3+ years of experience building and deploying services on public cloud platforms, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  
  
• Experience working in Agile software development environments, collaborating with cross-functional teams through iterative development, testing, and release cycles.

Preferred Qualifications:

• Familiarity with GraphQL.
  
  
• Familiarity with containers and container orchestration systems like Kubernetes, Docker.
  
  
• Familiarity with CI/CD techniques and tooling (e.g. Jenkins, drone), automated testing and deployments, and other DevOps practices.
  
  
• Understanding of caching and content delivery.
  
  

This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. This role also requires availability to our core working hours which are 10am - 6pm ET.

#LI-Hybrid

REQ-019607

About the Role:

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements guaranteed by our platform.

As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and refine the training, deployment, monitoring, and management of our ML models.

This role reports to the Senior Engineering Manager of Data Management Infrastructure.

Responsibilities:

• Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining.

• Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services.

• Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation.

• Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms.

• Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services.

• Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure

• 2+ years of experience programming in Python or Go

• Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)

• Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)

• Cloud platform experience (AWS, GCP) and familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)

Preferred Qualifications:

• Experience with MLOps tools (e.g., MLflow, Kubeflow)

• Experience with the machine learning model lifecycle, from experimentation to production

• Experience with data processing frameworks (e.g., Spark, Dask, or Ray)

• Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)

• Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)

• Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)

REQ-019522

#LI-hybrid

About the Role

The Quality Engineering team at The New York Times is hiring a QA Engineer. You will work with software engineers, DevOps, product managers, and designers to support quality across our web, mobile, and API platforms.

You will develop automated test frameworks, strengthen CI/CD reliability, and improve release confidence through scalable automation practices.

This role is hybrid and based in New York City, with an expectation of two days per week in the office. You will report to the Senior QA Manager.

Responsibilities:

• Design automated testing frameworks in Python for APIs, web, and mobile applications
• Develop and integrate automated test workflows into CI/CD pipelines
• Improve test reliability, execution speed, and coverage across environments
• Develop scalable test environments using containerization and cloud infrastructure
• Collaborate with engineering, DevOps, and product teams to define test strategies early in the development lifecycle
• Integrate logging, monitoring, and metrics into testing workflows to improve defect detection and release confidence
• Contribute to documentation and standards for automation and TestOps

Basic Qualifications:

• 3 years of experience in test automation, software engineering, or quality engineering
• Proficiency in Python and experience building maintainable automation frameworks
• 3 years of experience with modern test automation tools such as PyTest, Playwright, Selenium, or Appium
• 3 years of experience testing REST, GraphQL, or gRPC APIs
• Hands-on experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)
• 3 years of experience with Docker and familiarity with Kubernetes
• 3 years of experience working in cloud environments (AWS, GCP, or Azure)

Preferred Qualifications:

• Experience with mobile test automation
• Experience with test environment provisioning and infrastructure-as-code
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) in software development workflows
• Experience improving observability or quality metrics within engineering teams

#LI-Hybrid

REQ-019672

As a DevOps Engineer at Octus, you will play a crucial role in the development, implementation, and maintenance of the cloud infrastructure for our products. This position involves close collaboration with Application Developers, Data Engineers, SRE, Security, and IT professionals to automate and streamline operations and processes. Your contributions will be essential in ensuring the reliability, scalability, and security of our systems and applications.

Core Responsibilities:

• Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes.
• Effectively prioritize workload with a constant focus on increasing developer efficiency.
• Manage and optimize cloud infrastructure to ensure scalability, performance, and cost-effectiveness. Experience with AWS is a plus.
• Work closely with SRE to develop and maintain monitoring and alerting systems to ensure the health and performance of our systems and applications.
• Work closely with Security to implement and enforce security best practices across our infrastructure and applications.
• Collaborate with software developers to optimize application performance and reliability.
• Participate in the planning and execution of disaster recovery and business continuity strategies.
• Effectively communicate with stakeholders to provide updates on project statuses, issues, and recommendations.
• Participate in on-call rotation to provide system support.

Core Requirements:

• At least 5 years of experience in a DevOps role.
• At least 2+ years of experience with Terraform.
• Expert knowledge of cloud concepts and services (EC2, ECS, S3, RDS, A/ELB, EBS, VPC, Route53 or equivalent).
• Expert level knowledge of Linux. Strong scripting skills for automation and tooling.
• Ability to troubleshoot, diagnose, resolve & document RCA of incidents.
• Good knowledge of database configuration, concepts, maintenance, and troubleshooting.
• Thorough understanding of Security principles and experience in designing, implementing, monitoring proper controls.
• Extensive experience with Infrastructure-as-code & configuration management tools (Terraform, SaltStack or equivalent).
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes, ECS including managing microservices architectures.
• Knowledge of CI/CD tools such as Jenkins, Github Actions or equivalent.
• Experience with monitoring and logging tools such as Datadog, Cloud Watch or equivalent.
• Excellent communication skill, with the ability to effectively collaborate with cross-functional teams.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $165,000 - $190,000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

Senior Quality Assurance Engineer wanted by publishing company in Yonkers, NY.

Salary: $145,000 per year.

Apply online at https://job-boards.greenhouse.io/consumerreports

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. 

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / dbt

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

What you're great at:

• 4+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
• Cloud services providers like AWS
• Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
• Big data tools like Spark, Kafka, Snowflake, Databricks, etc
• Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
• Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You’ll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $180,000-$220,000, depending on levels of skills and experience.

This range represents the combined base salary and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

About the Role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. 

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About the Role

We're looking for a software engineer to join our Source Control and Governance team within our Developer Experience group. In this role, you'll design and build the tooling and automation that keeps our AI compute and bare metal infrastructure platform compliant, secure, and audit-ready.

You'll work across major compliance frameworks (SOC 2, SOX, ISO 27001), writing policy-as-code, building compliance pipelines, integrating security scanning into CI/CD, and automating evidence collection workflows. This is a collaborative, high-impact team where your engineering work directly supports our ability to serve enterprise customers and meet evolving regulatory requirements.

What You'll Do

• Design and build automated compliance pipelines that enforce policies on infrastructure changes and compute provisioning, bringing a CI/CD-driven approach to governance workflows.
• Implement policy-as-code using tools like OPA/Rego, Conftest, or InSpec — ensuring compliance rules are version-controlled, peer-reviewed, and enforced automatically across environments.
• Automate audit evidence collection for SOC 2, SOX, and ISO 27001, replacing manual processes with continuous pipelines that produce timestamped, immutable artifacts.
• Build and maintain compliance dashboards and reporting to surface posture scores and framework coverage for internal stakeholders and customers.

What We're Looking For

• 7+ years of software engineering experience.
• Demonstrated mastery of Go or Python, including concurrency primitives, memory management, and performance optimization at scale
• Experience designing and building CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or Buildkite, with a solid understanding of pipeline architecture and design patterns.
• Familiarity with Linux systems and networking fundamentals.
• A self-directed working style with the ability to take ownership of workstreams on a small, collaborative team.

Nice to Have

• Experience with policy-as-code tools (OPA/Rego, Sentinel, Checkov, InSpec).
• Familiarity with compliance frameworks such as SOC 2, SOX, ISO 27001, or NIST CSF — you don't need to be an auditor, but an understanding of controls and why they matter goes a long way.
• Background in cloud infrastructure, bare metal, or compute platform environments.

Why This Role

As an AI compute provider, we operate in a space where the regulatory landscape is actively evolving. That means the work here goes beyond maintaining a static set of controls — you'll be building the systems that define how AI infrastructure compliance works in practice. You'll ship tooling that has a direct line to enterprise customer trust, and you'll help solve problems that don't have established playbooks yet.

This is a small team with a high degree of autonomy, meaningful greenfield projects, and real opportunity to grow as the space grows around you.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do

As a Firmware Engineer, you’ll focus on AMI SPX-based BMC firmware development for GB200 server platforms. You’ll collaborate with cross-functional teams to develop, enhance, and optimize embedded firmware modules that power CoreWeave’s large-scale data center deployments.

Key Responsibilities

• Develop & Maintain: Contribute to the design, implementation, and testing of BMC firmware in AMI SPX environments using C.
• Integrate: Work cross-functionally with hardware, software, and QA teams to ensure seamless firmware-hardware integration.
• Debug & Optimize: Perform issue triage, root-cause analysis, and implement bug fixes and performance improvements.
• Testing & Validation: Conduct firmware validation across multiple hardware revisions and test environments.
• Document: Produce clear and maintainable documentation for code, configurations, and testing procedures.
• Collaborate & Learn: Work alongside senior engineers to expand your expertise in firmware stack design, Redfish, and system-level architecture.

Who You Are

Minimum Qualifications

• 2+ years of Hands-on experience with AMI MegaRAC/SPX firmware.
• 2+ years of professional experience in embedded systems or firmware development with a Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• Proficiency in C and embedded development workflows.
• Familiarity with Linux, Git, and debugging tools (GDB, JTAG, or equivalent).
• Understanding of hardware interfaces (I2C, SPI, UART) and firmware build systems.
• Awareness of BMC architectures, DMTF Redfish, and IPMI standards.
• Strong debugging and analytical skills with an attention to detail.
• Effective collaborator in a cross-functional, fast-paced environment.

Preferred Qualifications

• Exposure to GB200 or other NVIDIA Grace Hopper server platforms.
• Experience scripting in Python or Bash for testing or automation.
• Familiarity with Jenkins or similar CI/CD environments.
• Contributions to open-source firmware or embedded projects.

The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools
• Fluent in written and spoken English and French

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is seeking an exceptional Software Engineer to join a newly created team responsible for designing and developing tools and infrastructure used by Traders and Quantitative Researchers. In this role, you will be collaborating with people across the firm to provide cutting-edge technology solutions that expand our existing trading platform, all while promoting software engineering best practices. You will be presented with an opportunity to work on high profile projects that have an impact across the organization.

Responsibilities:

• Manage the day-to-day technology requirements of our proprietary trading systems
• Accelerate trading and research analysis workflows by utilizing and expanding on DRW’s in-house infrastructure and improve productivity
• Evaluate new technologies and identify/deprecate legacy code to improve on the current technological stack
• Collaborate with other engineers, traders, and researchers to design custom frameworks or end-user solutions
• Write performance sensitive code and user-friendly APIs to facilitate access to our in-house data analysis infrastructure
• Lead design discussions and conduct code reviews to maintain high standards and quality of written code

Requirements:

• Bachelor’s or Master’s degree in Computer Science or related Engineering discipline
• 5+ years of experience building demanding, live systems in Python
• In-depth knowledge of Python and keeps up with current standards (3.11 onwards)
• Up-to-date knowledge of the Python ecosystem: third party libraries, packaging in-built Python libraries
• Knowledge of a systems language such as C, C++, Rust, etc.
• Solid understanding of data structures
• Strong verbal and written communication skills
• Must car about the user-experience/UX component
• Knowledge of CI software, such as TeamCity or Jenkins
• Familiarity with Linux
• Ability to mentor others and lead small projects

Bonus points:

• Experience in the trading industry
• Familiarity with the scientific python stack
• Understanding of the latest in python package management

The annual base salary range for this position is $150,000 to $180,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

Software Engineer, Machine Learning (MLOps & Data)

A Career with Point72’s Surveillance Team

On the Knowledge Graph Intelligence team, you’ll work alongside product managers, engineers, and data scientists to build the next generation of intelligent systems through graph technology. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision-making and enhance how we build and operate our platforms and applications.

What you’ll do

In this data-heavy role, you will design and build mission-critical infrastructure that powers our machine learning lifecycle, from large-scale data processing and feature engineering to model training, real-time deployment, and monitoring. Specifically, you will:

• Architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture, using technologies like gRPC, Kafka, and high-performance API frameworks, like FastAPI, Spring WebFlux, and Axum.
• Engineer and automate robust, large-scale data processing pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, and lead the design and implementation of our Feature Store strategy.
• Own the MLOps framework for model training, versioning, and deployment, including CI/CD pipelines, automated workflows, and experiment tracking and evaluation tooling.
• Implement sophisticated deployment strategies, including canary, blue-green, shadow, and A/B testing, to ensure safe, zero-downtime releases, and optimize inference performance for LLMs and other large models.
• Leverage cutting-edge tools and techniques like quantization and compilation to maximize throughput and minimize latency.
• Collaborate with data scientists to develop models and optimize model performance for low-latency serving using techniques like Python performance tuning.
• Define, provision, and manage our cloud infrastructure using Terraform, working hands-on with a wide array of cloud services across compute, storage, and machine learning platforms.

What’s REQUIRED

• 5+ years of experience in a software, data, or ML engineering role.
• Strong proficiency in SQL.
• Experience building and orchestrating data pipelines using tools such as Spark, dbt, and Dagster/Airflow, as well as data warehouses like Snowflake, Redshift, BigQuery.
• Understanding of infrastructure as code, including experience with Terraform.
• Proficiency with containerization and orchestration including Docker and Kubernetes.
• Hands-on experience with CI/CD tools and ML lifecycle tools, including Jenkins, MLflow, Kubeflow, and W&B.
• Experience with AWS and its core services including S3, EC2, Lambda, RDS, and EMR, and practical experience with Boto3 and AWS ML services SageMaker and Bedrock.
• Understanding of modern ML models and ability to discuss the performance characteristics and engineering trade-offs that influence deployment decisions.
• Experience with systems incorporating Graph Neural Networks (GNNs), recommendation systems, anomaly detection, and complex time-series models.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

About point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $175,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Every line of code that ships at Mercury passes through a gauntlet of builds, tests, and gates before it reaches our customers. On the surface, that process should feel seamless — frictionless for engineers, undetectable to users, and impossibly reliable. Behind that invisibility is Release Engineering.

Mercury moves fast. We ship frequently, our monorepo grows daily, and the pressure to do it right never lets up. Release Engineering is the team that makes this possible: owning the CI/CD platform, build infrastructure, deployment tooling, and the practices that let 400+ engineers deliver with confidence.

We're looking for an Engineering Manager to lead this team. You'll partner with the Backend Developer Experience team to deliver the full software delivery lifecycle from code commit to production, and build the engineering culture that keeps our release process a competitive advantage rather than a bottleneck.

In this role you will:

• Lead and grow a team of four engineers focused on CI/CD infrastructure, build systems, deployment automation, and developer tooling.
• Create a strong culture of operational excellence, with measurable improvements to pipeline reliability, build times, and deployment confidence.
• Own Mercury's release pipeline end-to-end — from pull request merge to production — ensuring it is fast, reliable, observable, and secure.
• Drive the strategy and execution for improving build performance, test reliability, deployment safety (canaries, feature flags, rollbacks), and developer velocity.
• Partner closely with Platform, Security, and Product Engineering teams to design and deliver systems that meet the demands of a rapidly scaling fintech.
• Establish and evangelize release engineering best practices across Mercury's engineering org — defining standards for deployment frequency, change failure rate, and MTTR.
• Balance long-term platform investments with the day-to-day reliability needs of 400+ engineers shipping code every day.
• Build and maintain tooling that enforces compliance checkpoints and audit trails as part of the release pipeline — without slowing teams down.
• Hire, mentor, and retain top-tier engineers; help them grow into technical leads and raise the overall bar for the team.

You should have:

• 7+ years of software engineering experience, including 4+ years managing engineering teams in high-growth or high-availability environments.
• Deep hands-on experience with CI/CD systems (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI) and the infrastructure that supports them.
• Strong background in build systems (Bazel, Buck2), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Pulumi, or similar).
• A track record of meaningfully improving release velocity and reliability — you measure what matters and use data to drive decisions.
• Experience operating in regulated or security-sensitive environments, ideally fintech, payments, or banking.
• Excellent cross-functional communication skills — you can translate between engineering depth and business impact, and you partner effectively with Security, Compliance, and Product leaders.
• A pragmatic philosophy: you believe release infrastructure should be a force multiplier for product engineers, not a bureaucratic hurdle.
• The ability to attract, develop, and retain exceptional talent — you take hiring and team development seriously.

What Success Looks Like:

In your first 90 days, you've developed deep context on Mercury's release infrastructure, built trust with your team, and identified the highest-leverage opportunities to improve pipeline performance and developer experience.

Within six months, you've shipped meaningful improvements to build reliability, deployment speed, or observability — and your team has a clear roadmap for the next year.

Over time, you've made Mercury's release process a model for how fintech companies can move fast without breaking things.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a job candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. 

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - 298,800
• Canadian employees (any location): CAD $225,900 - 282,400

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-ME1

MetTel is looking for a Software Development Engineer in Test (SDET) to join our QA Operations Testing team!  

As a Software Development Engineer in Test, you will be part of our QA team working in an Agile Environment to ensure we release the software applications and features with the best quality possible along with continuous and fast quality improvement and delivery cycles.

ROLE AND RESPONSIBILITIES:

• Must be confident with leadership skills; able to work independently.
• Perform functional, API, performance testing, usability testing, regression testing, security testing, etc. 
• Build test cases/suites design, develop automation scripts and framework. Apply black box and white box testing techniques.
• Participate in test strategy, test cases/suites design, automation framework design strategy discussions with QA lead and other QA team members.
• Participate in release management, responsible for the high quality of our product for whole Software Development Life Cycle (SDLC)
• Participate in defect management, responsible for reporting, analysis, tracking the defect with its full life cycle. 
• Develop and implement automation solutions for front-end and back-end systems

DESIRED QUALIFICATIONS:

• 5 years hands-on experience in a QA role and experience with Agile methodologies.
• Bachelor's degree or higher in Information Systems, Computer Science, Computer Engineering or related field, or foreign equivalent required.
• Be passionate about Software QA Testing. Understanding the importance of testing during the software development process.
• Automation testing (Selenium) and hands on functional testing including API, performance, usability, regression test, etc.
• Hands-on development experience, deep understanding of one or more programming languages and OOP principles (C#/Java/Python/JavaScript).
• Knowledgeable of continuous integration tools and build pipelines (CI/CD, TeamCity, Jenkins, Git) 
• Solid foundation in web application fundamentals, including development or testing experience and a keen understanding of web technologies.
• Strong analytical skills. Have the ability to find the root cause of the problem.
• Experience with test suites/test case
• Experience in Release Management ensuring code deployments are released on time

Preferred Qualifications:

• Experience performing code scans/code review is a plus.
• Knowledge and experience of using JIRA Bug Tracking tools and Test Management tools.
• Knowledgeable of application frameworks and/or front-end frameworks (.NET, React, Spring, Angular, Django) is preferred.
• Experience writing code for back-end, API, or front-end testing is preferred.
• Good verbal and written communication skills. Ability to write clear anomaly reports.
• Completed the ISTQB foundation level certification/ISTQB Agile Tester certification preferred
• Knowledge of SQL is required.
• Release management experience preferred.
• Detail-oriented.
• Experience with Outsystems is a plus.

The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $90,000 - $120,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process.

Keywords: #SoftwareDevelopmentEngineerinTest, #SDET, SDET, #Developerintest, Developer in test, #QualityEngineer, #QualityAssuranceTesting, Quality Assurance Testing, #SoftwareEngineer, SoftwareEngineer, #Automationtesting, Automation testing, #Selenium, Selenium, #APITesting, APITesting, #QAOperations, QAOperations, #SDLC, SDLC, #SQL, SQL, #NYC, NYC, New York City, #LinkedInJobs

ABOUT THE ROLE

At Peloton, we view Platform as a Product. A phenomenal platform unlocks speed of development and learning. It allows us to scale easily, enabling our engineers to maximize attention on new features and capabilities.  A key to crafting a phenomenal platform is data-driven insights and understanding where we should focus our attention to create the best outcomes for our members.  Platform at Peloton is a force-multiplier that enables Peloton to move faster and scale safely with minimal effort. Core to this mission is creation of the best developer experience in the tech industry for the entire spectrum of Peloton's technology.  We work across an incredible range of technology domains: hardware, firmware, web, mobile, backend, data, messaging, content, streaming, and machine learning. We get to apply these to create a platform of products loved by millions of customers all over the world. 

Peloton is looking for a Site Reliability Engineer with an operations focus to work with teams across the organization to help build and maintain a monitorable, performant, reliable, and highly-scalable deployment platform.  We are a growing team of engineers tackling exciting problems to handle thousands of nodes and pods spread across many deployments.

YOUR DAILY IMPACT AT PELOTON

• Automatic, fast auto scaling for live rides and special large events
• Host a critical infrastructure that ensures that our members have the best experience possible on tens of thousands of pods across multiple clusters
• Provide a platform for machine learning (and other awesome workloads)  Allow developers to move quickly and experiment, without getting in the way
• Promote best practices for building and operating highly reliable systems
• Serve as domain expert in observability and monitoring
• Consult in system design to meet reliability and capacity requirements
• Automate everything, from infrastructure down to day-to-day tasks
• Conduct timely post-mortems of infrastructure incidents
• Assist with all aspects of operational security and compliance
• Seek out potential threats to security and reliability and advocate solutions
• We work with Amazon Web Services, Chef, Python, Ubuntu, Nginx, Jenkins, and Terraform

 YOU BRING TO PELOTON

• Experience maintaining scalable and stable Kubernetes clusters
• Knowledge of best practices when it comes to the observability and monitoring required of running Kubernetes at
  scale
• Knowledge of best practices in regards to securing a Kubernetes cluster and its deployments at scale
• A passion for helping development teams make the transition to a container-native world
• Experience with CI/CD Systems such as for example: Jenkins, ArgoCD, Harness, Tekton, etc.
• Experience deployment infrastructure using Infrastructure as Code utilities such as Terraform or Pulumi
• Know when to triage and when to dive down into a root-cause analysis
• Passion for reliable, scalable, observable software with a strong sense of ownership
• Experience with a programming language like Python, Golang, Java, C

#LI-JS2
#LI-Hybrid

ABOUT THE ROLE

The backend teams at Peloton help power experiences across our Product portfolio as well as our Mobile applications. We enable our members to discover and take live and on-demand classes across any number of fitness disciplines, compete on the leaderboard, take part in challenges, connect with each other, and much more. We’re looking for strong, passionate senior software engineers to join us in our quest to improve these experiences and build entirely new ones, while scaling our architecture to support many millions of members. We are an AI-forward organization that embraces modern AI tools and techniques to enhance developer productivity and accelerate innovation. We're looking for engineers who are excited about AI and proficient in leveraging it as part of their daily workflow. At Peloton, intelligent and motivated engineers can have a tremendous impact on what we create and how we create it. Help us build the future of fitness! 

YOUR DAILY IMPACT AT PELOTON

• Be a valued member of an autonomous, multi-functional agile team
• Build business-critical services with a focus on high availability, low latency, security, and scalability
• Be a technical leader within the team you work with and within Peloton in general 
• Shape technical architecture and best practices that scale across teams
• Mentor engineers across the team, providing technical guidance and fostering a culture of engineering excellence

YOU BRING TO PELOTON

• 6+ years of experience developing high-performance, highly scalable backend systems
• Hands-on experience with AI and demonstrated proficiency using AI tools (e.g., LLMs, code assistants) to enhance productivity in your day-to-day development work
• Hands-on experience building, testing, deploying, and monitoring services
• Hands-on experience implementing event-driven architectures
• Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Cassandra, Mongo) databases and caching systems (e.g. Memcached, Redis)
• Expertise in Kotlin, Python, or similar languages
• Experience with request processing such as REST, gRPC, or GraphQL
• Familiar with deployment tools/environments such as Kubernetes, Terraform, GitHub Actions, Jenkins, etc. 

#LI-JS2
#LI-Hybrid

The Team You’ll Work With

You'll join our Developer Experience (DevEx) team, a lean "Special Ops" unit within Carta's Infrastructure organization. Our North Star: remove friction from every step of the software delivery lifecycle so Carta's engineers can do the best work of their careers.

We own CI/CD infrastructure, GitHub governance across 500+ repos, the rollout of AI coding tools across our company, and the internal tooling layer that lets Carta move fast without breaking things. We are systems thinkers who measure everything, because you can't optimize what you don't understand.

Carta is making a company-wide bet on AI-native development, and DevEx is the team defining how that happens. Six months from now, the playbook will be written. Now is when you get to write it.

The Problems You’ll Solve

As a Senior Software Engineer II on DevEx, you will:

• Build the MCP servers, agents, and plugin infrastructure that Carta's AI native development runs on, and define the patterns other engineers follow
• Design and ship agents purpose-built to solve specific developer problems across the software delivery lifecycle
• Architect and drive CI/CD pipelines that automate build, test, and deployment to accelerate delivery across R&D
• Build the infrastructure AI tooling runs on, so other engineers can build on top of it with confidence
• Mentor engineers and raise the technical bar through code reviews and architectural guidance

About You

• Experience: 8+ years in platform, backend, or fullstack engineering
• AI Builder: You've shipped production LLM systems, whether that's MCP servers or clients, AI extensions, connectors, or agents designed to solve real problems, not just demos
• Platform Mindset: You build things other engineers build on top of and think about APIs and developer ergonomics as seriously as performance
• Tech Stack: Python or Java; CI/CD tooling (CircleCI, GitHub Actions,  ArgoCD, Jenkins, Docker); cloud-native (AWS, Terraform, Kubernetes); familiarity with secrets management tooling (Vault, Cloudsmith) is a plus
• Security Aware: You think about least-privilege, token lifecycle, and supply chain risks when designing developer tooling, not just after an incident
• Execution: You break down ambiguous problems and deliver with minimal guidance, bringing data to debates and owning outcomes end-to-end

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $212,500 - $250,000 in Santa Clara, CA; San Francisco, CA; New York, NY

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.

With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.

The Team

The Data Platform Team builds and maintains the core database technologies and automation frameworks that power Capstone’s cutting-edge investment strategies. Our mission is to build a highly automated, self-service platform that enables teams across the firm to innovate at scale.

We are looking for a motivated technologist who thrives on solving complex challenges and designing resilient, secure, and high-performance systems. You will play a key role in shaping the firm’s next-generation data platform, with opportunities to learn advanced technologies and contribute to mission-critical systems. This role offers exceptional exposure to diverse areas of the hedge fund, providing opportunities to influence critical systems and deliver impactful solutions.

Our future colleague has these skills:

• 3+ years of professional experience, ideally within the financial sector (equity, credit, derivatives trading environments)
• Engineering experience in enterprise database technologies, with strong proficiency in Microsoft SQL Server (MSSQL)
• Development experience across multiple languages (SQL, PowerShell, Python) for solving complex problems and building automation
• Automation-first mindset, including experience with Infrastructure as Code (IaC) and scripting for repeatable deployments
• Database performance tuning and optimization: ability to analyze execution plans, manage indexing strategies, and troubleshoot query bottlenecks
• Database design and modelling fundamentals: normalization, constraints, transactions, and schema versioning
• Version control and CI/CD experience: Git workflows and automated deployments using tools such as Jenkins, Azure DevOps, or GitHub Actions
• Leverage open-source monitoring tools (e.g., Prometheus, Grafana) for performance and health checks
• Excellent verbal and written communication skills for collaboration and documentation

Do you possess these Bonus Skills:

• Experience with Apache Iceberg on object storage (S3) and engines like Spark/Trino.
• Exposure to multiple database platforms such as PostgreSQL, Snowflake, Amazon Redshift, MongoDB, Cassandra, etc.
• Exposure to distributed data platforms (Kafka)
• Familiarity with enterprise infrastructure (storage, networking, compute), Linux administration (Red Hat) and Windows Server.
• Exposure to Kubernetes

Benefits & Compensation Information:

Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.

Some benefits included in this role are:

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental and Financial
• Time-Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

The applicable base salary range for this role is $145,000-$175,000 USD. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

In addition to base compensation, this role is eligible for an annual incentive plan. To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Don’t forget to follow us on LinkedIn

Capstone’s Commitment

At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices. At Capstone, we're all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.

Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.

Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.

Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.

Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.

Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.

Equal Opportunity Employer
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

About Carbyne:
In March 2026, Carbyne officially joined forces with Axon, marking a major step forward for emergency communications. United by a shared mission to Protect Life, Carbyne and Axon are modernizing 911 by improving how critical data reaches call centers. Together, we enable faster, more informed responses by equipping emergency call centers with real-time video, silent chat, precise location tracking, and other essential tools—bringing life-saving information to the right people at exactly the right time.


Your Impact

• Lead network projects, including network establishment, upgrades, expansions, and migrations.
• Configure and maintain Fortinet Firewalls, Cisco switches, and routers, among other networking equipment and ensure network security by implementing best practices and conducting regular security audits.
• Monitor network performance and troubleshoot any issues that arise, ensuring maximum uptime and reliability and perform production system upgrades, as well as debug sessions independently in a mission-critical live system.
• Thrive in a high-activity/fast-paced environment, effectively managing multiple tasks and shifting priorities and resolve complex problems independently, leveraging data analytics and troubleshooting skills.
• Collaborate with vendors and service providers to build and resolve network-related challenges.
• Perform network infrastructure deployments leveraging IaC tools and pipelines
• Provide technical guidance and mentorship to junior network engineers.

What You’ll Do 

We are currently seeking a highly skilled and experienced Senior Network Engineer to join our Global Operations team. As a Senior Network Engineer, you will play a crucial role in the designing, integration, and implementation process of our innovative public safety products for our clients in the national first responders systems (911) and government sectors worldwide. Youwill be responsible for ensuring the highest level of service is delivered to our customers 24/7.

What You Bring

• Minimum of 10 years of experience as a network engineer or equivalent in critical service industries with a focus on designing and implementing complex network solutions.
• Strong experience with AWS VPC, Transit Gateway, Direct Connect, Ingress/Egress architectures, Route 53
• In-depth knowledge of planning, designing, implementing, and operating an Enterprise IT network environment and data center network.
• Hands-on configuration and operational knowledge of Fortinet Firewalls, SD-WAN infrastructure, Cisco switches, and routers. 
• Strong experience troubleshooting private and public transport connectivity with a keen ability to identify issues affecting production systems
• Strong knowledge of networking protocols and technologies, including TCP/IP, VLANs, BGP, OSPF, MPLS, VPN, and DNS.
• Experience building and designing rack/cabinet/cage construction for highly available and resilient network infrastructure.
• Proven expertise in SD-WAN planning, design, implementation, and operations encompassing multi-site deployments
• Knowledge and experience in network monitoring and optimization tools. Ability to quickly identify issues affecting voice and video quality
• Ability to debug production systems and perform deep-level packet capture analysis independently in mission-critical systems
• Comfortable working with data analytics and resolving complex problems independently.
• Solid understanding of network security principles and best practices.
• Ability to thrive in a high-activity/fast-paced environment, handling ambiguity and shifting priorities.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Working experience with IaC tools including Terragrunt, Terraform, Ansible, or Python
• Working experience with Git and DevOps tools including Visual Studio Code, BitBucket, Jenkins, GitLab, or equivalents

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is on the lookout for a Build Engineer who possesses a passion for automating processes and supporting infrastructure and tools that support the deployment of client-facing software and services. 

This is a full-time, in-office position based out of Rockstar’s game development studio in Andover, Massachusetts. 

WHAT WE DO

• The Rockstar Games Online Services Team is a passionate development group, focused on growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver world-class player experiences. 
• We design and maintain CI/CD pipelines enabling fast, safe, and repeatable software delivery across all environments. 
• Collaborate with development, operations, security and QA teams to support the development and delivery of robust, high-quality software. 

RESPONSIBILITIES

• Continuous integration and deployment of internal tools and externally facing applications to multiple environments. 
• Management and documentation of deployment processes and automation. 
• Environment management to ensure all needs are covered for testing and development. 
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• 5+ years of configuration management and engineering for web applications, ideally supporting an Agile development process.
• Experience with automated build tools such as TeamCity, Jenkins, or equivalent.
• Experience defining, implementing, or improving continuous integration and deployment processes.
• Programming experience with an OOP language such as C# or Java.
• Automation skills utilizing a scripting language such as PowerShell, Bash, Python, or similar.
• Knowledge of distributed systems architecture and infrastructure.  
• Adept at managing software release and deployment.
• Proficient in supporting multi-platform application development shops.
• Experience with containerization technology (preferably Docker).
• Experience with source control such as GitHub or Perforce.
• Experience with bug-tracking software.

PLUSES

Please note that these are desirable skills and are not required to apply for the position. 

• Experience with branch and merge strategies. 
• Experience with frontend technologies such as React, NextJs, Webpack or similar. 
• Knowledge of SQL. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. 

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. 

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-SD1

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

You will work as part of a developer service team that works collaboratively with business users to provide application software enhancements supporting the firm’s Equities Trading business. Specifically, you will:

• Deliver new business capabilities, system upgrades, and feature enhancements to improve resiliency, capacity, automation, and controls, while supporting integration with internal and external financial vendors and services.
• Collaborate with the team to design and build highly resilient distributed systems, ensuring large sets of financial data are processed as close to real time as possible.
• Build software used to support global trading across multiple time zones.
• Participate in identifying new technologies to continuously improve software systems.
• Implement DevOps practices within the team using GitHub, GitLab, and Jenkins.
• Provide production support to diagnose and resolve elevated application software production incidents and implement proactive remediation measures.

What’s required

• Bachelor's degree in computer science or another technical or scientific field.
• Minimum 8 years of object-oriented programming experience with C#/.NET.
• Willingness to work as part of a globally distributed Dev Team spanning the U.S., Poland, and Hong Kong.
• Significant experience working with databases, primarily MS SQL Server.
• Experience writing automated tests, unit tests, and practicing Test-Driven Development.
• Knowledge of design and architecture patterns, distributed systems, microservices, observability and monitoring, and containerization using Docker.
• Strong-problem solving and analytical skills.
• Exceptional verbal and written communication skills.
• Commitment to the highest ethical standards. 

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non-profit matching gift program
• Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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.

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about:
Are you excited to work on systems where reliability directly impacts real-world outcomes? At RapidSOS, we build technology that powers emergency response, ensuring critical data gets to the right place at the right time. When these systems degrade or fail, the impact is real and reliability isn’t a background function. It’s fundamental to how our product shows up in critical moments.

We’re seeking a Senior Site Reliability Engineer to own the performance and stability of services that operate at scale in real-world, high-stakes environments. You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code, identifying and resolving issues at their root cause while proactively shaping how systems are built to improve reliability from the start. You’ll go beyond surface-level fixes, digging into everything from service behavior in Kubernetes to application-level decisions that impact performance, cost, and reliability. You’ll collaborate closely with engineering teams to improve how our systems are built, observed, and operated. Along the way, you’ll help shape how we approach reliability as a discipline—closing visibility gaps, improving resilience, and ensuring our platform performs when it matters most.

What you’ll do: 

• Own performance and reliability outcomes: Ownership of how application-level decisions create system-level impact, including connection pooling, database architecture, traffic routing patterns, and memory allocation. Collaboration with engineering teams that own specific domains, partnering directly to improve reliability and performance across their systems.
• Design for system resilience: Responsibility for strengthening reliability through proactive design decisions, including safer deployment patterns, failover strategies, and redundancy approaches that improve system behavior under stress.
• Build observability into system behavior: Proactively instrument services with structured logging, metrics, and alerting so systems are easier to understand and debug. The focus is on creating clear signals from production behavior before issues escalate.
• Own incidents from signal to resolution: Ownership of production issues from first signal through resolution, including investigation across infrastructure and application layers, root cause identification, and implementation of fixes that restore stability and strengthen system behavior long term.
• Work across the stack without a permission slip: You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code. When issues come up, you don’t wait for a handoff—ownership is taken directly and driven through to resolution.

What we’re looking for in our ideal candidate: 

• 5+ years of professional engineering experience with deep expertise in Python 
• Real cloud infrastructure experience with AWS: networking, managed databases, cost implications of traffic routing decisions, IAM, DNS-based routing and failover
• Hands-on kubernetes experience with containerized workloads in production across EKS, ECS, or Fargate, you can read events, understand resource limits, know when to drain vs. delete a node, and understand the tradeoffs between orchestration models
• Strong understanding of distributed systems and how they fail, including resource exhaustion, replication lag, queue backpressure, and other common failure modes
• Experience operating high-throughput messaging systems (RabbitMQ, Kafka, AWS SNS / SQS, etc.)  and the infrastructure around them, including infrastructure-as-code (e.g., Terraform) and CI/CD pipelines, with an emphasis on improving reliability and scalability
• Experience building or improving observability through logging, metrics, and alerting
• Demonstrable experience in using AI to safely and securely enhance velocity, improve reliability and recoverability of services
• Strong communication and interpersonal skills; is a team player with a positive attitude 
• Highly self-motivated; ability to adapt and learn quickly in a fast-paced environment with a strong sense of ownership
• Strong proficiency in coding best practices – ability to write clean, maintainable, and testable code 
• Demonstrated expertise in problem solving – comfortable working across both infrastructure and application layers to diagnose and resolve issues at the source
• Ability and willingness to collaborate in-person a few times per quarter, or as needed

Nice-to-have experience (but not required!):

• Experience supporting production systems in an on-call or similar capacity where reliability matters
• Experience with observability and GitOps tooling; hands-on with Datadog (APM, alerting), Elasticsearch/OpenSearch, and ArgoCD-based GitOps deployments; comfortable modernizing legacy CI/CD pipelines (e.g., Concourse, Jenkins) toward cloud-native approaches

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $160,000 - $195,000. This role will also be eligible to receive equity options. #LI-Remote

About Tru Identity

Tru Identity is on a mission to make the process of importing goods into the US more simplified. We are re-imagining how trade compliance works; starting with the $4 trillion worth of goods imported into the U.S. every year.

Tru Identity is enabling companies globally to get compliant before their shipments have even left the port of origin. Doing so allows them to maintain on-time deliveries, keep sales flowing, and expand internationally.

We do this by helping importers, marketplaces and logistics providers automate all the complex regulatory compliance work that can slow trade down — saving significant time and money, eliminating fraud, and endless frustration. And though we’ve only really just got started, we’re growing fast with commercial and government customers already secured. 

Joining now means you’ll be part of our foundational team with huge impact. You’ll have real ownership, a voice in shaping the products and a chance to help build something transformative from the ground up.

We move quickly, stay focused, and value grit and creative problem-solving above all else.

About the position 

We’re looking for a seasoned Backend Engineer to lead the architecture and development of our scalable, intelligent systems incorporating powerful AI features. In this hands-on role, you’ll use your proven software engineering abilities to design, implement, and maintain robust, high-quality backend APIs and services running on AWS as well as mentoring junior engineers as the team grows. You should be an excellent communicator and a natural problem-solver with a bias for action.

Tech stack: Python, Django, NextJS, PostreSQL, pgvector, Qdrant, RAG, OpenAI, Langchain, CI/CD, Celery, BitBucket, Jenkins

What will you do:

• Lead backend architecture and development — Design and build scalable APIs, services, and async systems using Python, Django and Celery
• Own infrastructure and deployment — Manage and optimize AWS environments (EC2, ECS, Lambda, RDS) and build and maintain reliable CI/CD pipelines
• Develop intelligent, AI features — Integrate OpenAI, LangChain, and vector databases to deliver production-grade AI functionality
• Lead and mentor junior engineers through code reviews and provide technical guidance
• Participate in Agile ceremonies and stay up-to-date with backend, infrastructure and AI trends to help drive technical strategy

Qualifications

• 5+ years of proven software engineering experience with a deep focus on backend.
• Expert in Python/Django with a focus on performance and scalability
• Prior experience working in a fast-moving startup environment having taken a product from 0 → 1
• Proficient in AWS and infrastructure management.
• Familiarity with observability tools (Sentry, Prometheus, etc.)
• Knowledge of microservices and event-driven architecture
• Ideally residing within easy reach of NY 10001 for hybrid working (3 days per week in office)

Bonus if you have:

• Proven track record of designing and shipping production-grade AI features leveraging LLMs, LangChain, and Retrieval-Augmented Generation (RAG) pipelines.
• Hands-on experience of deploying, scaling and monitoring AI/ML models, including LLMs, on modern cloud infrastructure.

Compensation and Perks

• $170K - $190K USD annually
• Generous PTO and holiday schedule 
• 100% paid healthcare 
• HSA benefits 
• $1000 WFH stipend per year
• Stock options

#LI-JM1 
#LI-Hybrid

At Squarespace, we're reimagining how people bring their ideas to life online. Our Infrastructure Engineering teams are at the heart of that mission --- building the platforms and tooling that let every engineer ship with speed and confidence.

As a Software Engineer on the Delivery team, you'll work on the systems that sit between GitHub and production. These systems include nearly every Squarespace service, such as CI/CD pipelines, GitOps workflows, and the deployment platform that spans our Kubernetes clusters and regions. If you're passionate about developer experience, modern deployment tooling, and making other engineers more productive, we want to hear from you.

About the Delivery Team

The Delivery team owns the deployment and delivery experience for Squarespace Engineering. Our systems sit between GitHub and production for nearly every service, providing an opinionated paved road with GitOps patterns. You will join a team of 5 engineers, collaborating with teammates in the New York and Dublin offices and across the Infrastructure and Developer Experience organizations.

This is a hybrid role working from our New York City office 3 days per week. You will report to the Engineering Manager of Delivery.

You’ll Get To…

• Build and evolve the platform that ships Squarespace services to production --- CI/CD pipelines, GitOps workflows, and deployment tooling across Kubernetes clusters.
• Increase adoption of modern deployment tooling across high-traffic services
• Design reusable Helm charts, GitOps templates, and standardized rollout/rollback patterns for engineering teams.
• Identify improvements to CI pipeline performance and reliability across the organization.
• Contribute to AI-assisted delivery tooling that helps engineers self-serve and diagnose build failures.
• Develop technical documentation to ensure knowledge sharing and reusability.

Who We’re Looking For

• 3+ years of backend or platform engineering experience.
• Experience building or improving CI/CD pipelines (e.g., Drone, Jenkins, GitHub Actions, Harness).
• Knowledge of Docker and Kubernetes.
• Familiarity with GitOps tooling such as Argo CD or Flux.
• Proficiency in Go, Python, or Java.
• Experience with Google Cloud, AWS, or Azure.
• Comfortable with Agile methodologies and Git.
• Experience troubleshooting issues with users.

Benefits & Perks

• A choice between medical plans with an option for 100% covered premiums
• Fertility and adoption benefits
• Access to supplemental insurance plans for additional coverage
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Retirement benefits with employer match
• Flexible paid time off
• 12 weeks paid parental leave and family care leave
• Pretax commuter benefit
• Education reimbursement
• Employee donation match to community organizations
• 7 Global Employee Resource Groups (ERGs)
• Dog-friendly workplace
• Free lunch and snacks
• Private rooftop
• Hack week twice per year

Cash Compensation Range: $110,500 - $178,250 USD

The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors.

In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.

About Squarespace

Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers.

Our Commitment 

Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

#LI-CB1 #LI-Hybrid

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We’re looking for a Senior Software Engineer with deep experience in computer vision and image signal processing to help build the next generation of CLEAR products, expanding beyond ID to unlock the power of networked digital identity. As part of our engineering team, you’ll shape, build, test, and deploy applications that strengthen our platform, connecting dozens of attributes and qualifications while keeping member privacy and security at the center.

A brief highlight of our tech stack:

• Python / Java / C++ 
• AWS cloud
• Google Cloud

What you'll do:

• Enhance and maintain the computer vision components and algorithms that power CLEAR’s identity platform, from image capture through face matching and document verification, using C++, Python, and Java.
• Leverage computer vision and machine learning to develop, deliver and enhance document verification and biometric features to our products.
• Research and measure computer vision models, their accuracy and performance for deployment in a production system at scale.
• Work across CLEAR functions to ensure that digital identity requirements are accounted for in all new products and new feature work.
• Partner with product and stakeholders across the business to uncover requirements, drive innovation, and solve complex problems.
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR.

What you’re great at: 

• 5+ years of backend software development experience in Python, Java and C++.
• 2+ years of experience and/or formal training in computer vision, image signal processing, machine learning, and document verification.
• Working with cloud-based application development, and being fluent in at least a few of: 
• Cloud service providers like AWS and Google Cloud
• Containerization technologies like Docker and Kubernetes
• Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders.
• Collaborating and mentoring less experienced members of the team.
• Comfort with ambiguity and speed.
• Curiosity about technology, belief in constant learning, and the ability to be autonomous to figure out what's important.

How You’ll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs.

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,500 - $215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

The Senior Product Security Engineer will be responsible for securing Navan products, by identifying risks early in the SDLC and developing application security tooling & processes to promote a ‘shift left’ security culture. You will be responsible for developing and scaling the product security function by integrating security in the application development process, conducting security-related research and assessments, developing custom automated security and anti-fraud solutions, and providing security analysis/design/training to the organization.

Reporting to the senior Director of Product Security and Trust, you will contribute significantly to building and scaling an application security program. This position requires both advanced technical skills, strong communication skills, and the ability to influence people. You will be responsible for ensuring the continuous security of Navan customer-facing products and internal tools. You will focus on proactively discovering security vulnerabilities, driving and advising risk remediation based on research, and developing strong partnerships with engineering and product teams to accelerate the release of the software with security by design.

What You’ll Do:

• Act as the tech lead for high-priority product security initiatives, and ensure timely delivery of impactful initiatives.
• Be a key advisor to the overall strategy and roadmap of the Product Security Program.
• Participate in expanding/maturing the Navan S-SDLC program.
• Review product designs for security defects, perform threat modeling and recommend remediations. 
• Work with engineers to identify the tradeoffs of different solutions and recommend the ideal design to meet security requirements.
• Design and develop security tools and processes to be leveraged by development teams.
• Work closely with engineering to sustain processes and/or convert manual integrations to automated pipeline activities.
• Assist in developing custom Security as Code solutions.
• Provide training, guidance, and assistance to development teams early in the SSDLC.
• Cultivate security ownership in the product teams.
• Bring visibility to product/application vulnerabilities in a consistent manner to enable appropriate prioritization and remediation.
• Help build the Red Team and PSIRT functions.

What We’re Looking For:

• Proven experience performing threat modeling and architecture reviews for complex applications.
• Proven experience delivering critical org-wide product security initiatives.
• Proven experience performing application, cloud and mobile penetration testing in high risk environments like financial or healthcare companies.
• 6-8 years of Technical Product Security related experience around SSDLC tooling, automation, remediation advisory, security testing, threat modeling/attack surface analysis.
• Ability to execute in multifaceted and highly technical organizations.
• Ability to provide pragmatic security advice for web applications, mobile applications, and cloud software.
• Experience working in Agile development with experience in technologies such as:
• Cloud environment (AWS, or similar)
• Application security testing tools (SAST, DAST, IAST, SCA, or similar.)
• Infrastructure as code (Terraform, or similar)
• Java Spring Framework (3+ years),  Hibernate or similar ORM technologies, JavaScript/CSS, and Angular
• Containers (Docker, Kubernetes, or similar)
• Continuous integration (Jenkins, Github Actions or similar)
• Integration of Security testing tools into CI pipelines
• Defect tracking (Jira,or similar.)
• Source code management (GitHub, or similar.)
• In-depth knowledge of common application & network protocols, cryptographic primitives, authentication & authorization protocols, and common security threats, such as attack techniques, evasive techniques, and preventative & defensive methods.
• Deep knowledge of cloud operational models and secure SaaS architecture in a containerized microservices world.

Good to have:

• Published contributions to the security community.
• Deep understanding of browser security and modern JavaScript frameworks.
• Knowledge of compliance requirements for industry-standard certifications like PCI DSS, SOC2, HIPAA, and FedRAMP.
• Experience working in small teams and delivering outsized impact.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

We're looking for a Senior Site Reliability Engineer for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is a robust Kafka-based event pipeline handling tens of billions of messages daily that our customers leverage to analyze user behavior in near real-time.

You’ll be a key engineer on a highly collaborative and skilled team, responsible for bringing projects from concept to production and improving our existing high-scale systems. You will be leveraging your experience, your skills, and a strong sense of teamwork to tackle the significant engineering challenges of running a critical data streaming system. As a Senior Site Reliability Engineer, you will specifically focus on the observability, scalability, and reliability strategy aspects of every project.

Specific examples of what this translates to:

• Solve live performance and reliability issues and prevent their recurrence
• Write and review code, educating engineers and building a culture of reliability
• Practice sustainable incident response and blameless postmortems
• Define and enable standards for monitoring, reliability, and performance
• Bridge the gap between infrastructure and platform engineering teams
• Support and improve services by planning for scale and reliability
• Guide junior engineers in SRE best practices, software engineering, and agile project leadership

WHO YOU ARE

• Bachelor’s in Computer Science, Software Engineering, or a related STEM field
• Five (5) years of experience in any role/occupation/position involving software engineering or site reliability engineering
• Experience must include:
• Using distributed systems to deploy and monitor live applications such as Kubernetes or Docker Swarm
• Working with alerting software (Sentry, Datadog, and/or PagerDuty)
• Utilizing programming languages (Java, Kotlin, and/or Ruby) to understand and contribute to the codebase
• Storing data in relational and non-relational databases such as Postgres and MongoDb
• Data streaming or queuing systems to build data pipelines with technologies like Kafka, Sidekiq or SQS and SNS
• Leveraging continuous integration tools such as Jenkins or Buildkite
• Collaborating with engineers through pull requests and code reviews in version control software such as GitHub or GitLab

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $129,600 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

• You'll contribute to one or more of the following projects:
  • Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm’s live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability.
  • Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls.
  • Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
  • Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.

• 2+ year track record of solving challenging problems through coding with real metrics & impact in industry.
• Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems.
• Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure.
• Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
• Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
• Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
• Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus.

Site Reliability Engineer 

Overview:

As a Site Reliability Engineer at Weedmaps you will work cross-departmentally with your partners on the application, infrastructure and quality teams to enhance the performance, reliability, resilience and scalability of the web services that make up Weedmaps.com. We are a cloud native organization with 100% of our services in Docker running on Kubernetes in AWS’ public cloud. We also leverage observability, monitoring, CI/CD automation and custom tooling to push multiple production releases a day.

Your day to day focus will be leveraging your engineering skills to assist in the building out, monitoring, reducing developer toil, configuring CI workflows and improving our deployment pipelines. You will also be a knowledge reference for our development teams to ensure they are leveraging consistent tooling for metrics, logging, build, and deployment. You will work closely with the development and infrastructure teams to identify the essential service-specific metrics (beyond the golden metrics) that need to be monitored and work with application development teams to create libraries to allow services to easily instrument their services.

The impact you'll make:

• Collaborate with stakeholders to drive best practices for monitoring, CI/CD pipelines
• Troubleshoot deployment issues in our CI pipeline
• Advocate emphatically for the DevOPS culture here at Weedmaps
• Identify areas for automation and embrace the codification of all things
• Evangelize best practices around collaboration, reliability, security and performance to all partner teams
• Take ownership of the application configuration/scaling for given services to ensure that they are following the established practices of the organization
• Create and refine synthetic monitoring flows

What you've accomplished:

• Minimum 2 years of development experience at startup/mid-sized companies
• Proficiency in Python, Go, Node, Ruby or Elixir
• Knowledge of containerization, particularly Docker (Kubernetes is a plus)
• Effective communication skills, a positive attitude, and ability to give and receive constructive feedback
• Professional experience with cloud native observability standard such as Open metrics, Open tracing and Open Census
• Expertise using/configuring modern CI/CD workflows
• Intimate understanding of SLIs, SLOs and SLAs from the service level to the business level
• Intimate understanding of the golden metrics, how to monitor and alert on them
• Deep understanding of the GitHub branching strategy
• Experience troubleshooting containerized applications
• Familiarity with Infrastructure as Code, automation and configuration

Bonus points: 

• Familiarity with cloud infrastructure concepts (AWS, GCS)
• Experience with Hashicorp tools such as Terraform, Consul, Vault
• Computer science or other engineering background
• Experience with CI tools such as CircleCi, Jenkins, Travis, Drone, Semaphore, etc.
• Experience with monitoring and observability tools such as with tools like Prometheus, CloudWatch, DataDog, and Grafana

The base pay range for this position is $125,965 - $139,200 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Site Reliability Engineer 

Overview:

As a Site Reliability Engineer at Weedmaps you will work cross-departmentally with your partners on the application, infrastructure and quality teams to enhance the performance, reliability, resilience and scalability of the web services that make up Weedmaps.com. We are a cloud native organization with 100% of our services in Docker running on Kubernetes in AWS’ public cloud. We also leverage observability, monitoring, CI/CD automation and custom tooling to push multiple production releases a day.

Your day to day focus will be leveraging your engineering skills to assist in the building out, monitoring, reducing developer toil, configuring CI workflows and improving our deployment pipelines. You will also be a knowledge reference for our development teams to ensure they are leveraging consistent tooling for metrics, logging, build, and deployment. You will work closely with the development and infrastructure teams to identify the essential service-specific metrics (beyond the golden metrics) that need to be monitored and work with application development teams to create libraries to allow services to easily instrument their services.

The impact you'll make:

• Collaborate with stakeholders to drive best practices for monitoring, CI/CD pipelines
• Troubleshoot deployment issues in our CI pipeline
• Advocate emphatically for the DevOPS culture here at Weedmaps
• Identify areas for automation and embrace the codification of all things
• Evangelize best practices around collaboration, reliability, security and performance to all partner teams
• Take ownership of the application configuration/scaling for given services to ensure that they are following the established practices of the organization
• Create and refine synthetic monitoring flows

What you've accomplished:

• Minimum 2 years of development experience at startup/mid-sized companies
• Proficiency in Python, Go, Node, Ruby or Elixir
• Knowledge of containerization, particularly Docker (Kubernetes is a plus)
• Effective communication skills, a positive attitude, and ability to give and receive constructive feedback
• Professional experience with cloud native observability standard such as Open metrics, Open tracing and Open Census
• Expertise using/configuring modern CI/CD workflows
• Intimate understanding of SLIs, SLOs and SLAs from the service level to the business level
• Intimate understanding of the golden metrics, how to monitor and alert on them
• Deep understanding of the GitHub branching strategy
• Experience troubleshooting containerized applications
• Familiarity with Infrastructure as Code, automation and configuration

Bonus points: 

• Familiarity with cloud infrastructure concepts (AWS, GCS)
• Experience with Hashicorp tools such as Terraform, Consul, Vault
• Computer science or other engineering background
• Experience with CI tools such as CircleCi, Jenkins, Travis, Drone, Semaphore, etc.
• Experience with monitoring and observability tools such as with tools like Prometheus, CloudWatch, DataDog, and Grafana

The base pay range for this position is $133,110 - $148,042 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

The Compute Platform team is responsible for building and evolving the infrastructure that powers Airtable’s services at scale. We enable engineers across the company to build, deploy, and operate reliable services on Kubernetes with strong security, governance, and performance guardrails.

We are looking for an engineer to help lead the next phase of platform maturity in how we run Kubernetes at Airtable. This is a role that has engineering wide impact. If you’re excited about building internal platforms, shaping infrastructure strategy, and partnering closely with product and security teams to power a rapidly growing enterprise business, we’d love to hear from you.

What You’ll Do:

Build and evolve Airtable’s compute platform

• Design, implement, and scale core Kubernetes platform capabilities used across ~70 clusters, spread across multiple environments.
• Lead foundational modernization efforts such as migrating to a new CNI plugin to overhaul IP security rule management across clusters and regions
• Rewrite our core deployment service from Typescript to Golang and adopt performant Kubernetes operator patterns to eliminate scaling bottlenecks on our larger clusters

Raise the bar on platform maturity

• Improve developer experience around new service creation, deployment workflows, and operational best practices
• Partner with Security to implement governance controls, least privilege access, image signing, and enterprise-grade infrastructure safeguards
• Define and uphold operational excellence standards across the platform by defining good SLOs, measuring and upholding them

Lead through technical influence

• Spend roughly 70% of your time in hands-on engineering and 30% in design reviews, mentorship, and cross-team collaboration
• Review architecture proposals and guide high-impact infrastructure decisions
• Mentor engineers on distributed systems and Kubernetes platform design
• Collaborate closely with developers building and deploying services across Airtable

Who You Are:

• 8+ years of software engineering experience, with deep expertise building and operating a Kubernetes based internal service platform, 
• Strong understanding of Kubernetes internals, including controllers/operators, CRDs, networking, and cluster architecture
• Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, OpenTofu, Pulumi, or similar
• Experience with CI/CD and deployment tooling such as Spinnaker, ArgoCD, Flux, Jenkins, or similar
• Clear, thoughtful communicator who collaborates effectively across many engineering teams
• Empathetic partner to product engineers, with a strong sense of ownership and autonomy
• Preferably experience with AWS infrastructure and EKS

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

NYC-Based Role - No Exceptions
This position requires being based in the New York City area with 3 days/week in our office. In-person interview required. 

We’re growing fast—and we’re building a world-class R&D organization in the U.S. to scale our global impact. This is an opportunity to become a part of a critical function at the ground floor of that expansion. 

We’re looking for a Senior DevOps Engineer to join and scale our U.S.-based DevOps function. You’ll join a small team, focused on DevOps tasks in Security-related areas. You’ll be pivotal in designing, implementing and maintaining our cloud infrastructure, especially security-related parts of it. You’ll partner closely with the larger DevOps organization along with Engineering, Security, and IT teams globally to ensure Gong’s systems are secure, scalable, and high-performing.

As one of the foundational members in our U.S. R&D team, you’ll shape not only the infrastructure but also the culture and processes that support Gong’s next phase of expansion and innovation.

RESPONSIBILITIES

• Help designing, deployment, and continuous improvement of secured, scalable and reliable cloud infrastructure (primarily AWS).
• Contribute to the design and implementation of best security practices and tooling for CI/CD, monitoring and developer experience.
• Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
• Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
• Impactful Contribution: Play a major part in shaping the company's cloud strategy, focusing on innovation and long-term success with security considerations in mind.

QUALIFICATIONS 

• 5+ years of experience in DevOps, Site Reliability, or Platform Engineering roles.
• Proven track record of building and operating scalable cloud environments (AWS preferred).
• Deep understanding of infrastructure-as-code and GitOps methodologies  (Crossplane, Terraform, CloudFormation, Pulumi).
• Strong experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins, ArgoCD, CircleCI).
• Extensive experience with running  Kubernetes and container orchestration in production.
• A solid understanding of computer networking fundamentals, REST architecture, and cloud security concepts.
• Experience with AWS security services such as IAM, KMS, GuardDuty, CloudTrail, and Security Hub.
• Knowledge of security principles and compliance frameworks (SOC2, ISO27001, etc.).
• Familiarity with vulnerability scanning and management tools.
• Experience implementing security automation in CI/CD pipelines.
• Background in container security and Kubernetes security best practices.
• Experience working in a Java-based environment.
• One or more security-related certifications (CKA,CISSP, CEH, Security+, or similar).
• Hands-on experience with observability tools (Prometheus, Grafana, Datadog, etc.).
• Excellent communication skills.
• Experience working in fast-paced, high-growth SaaS or product environments.
• Bonus: Experience working in a hybrid/global team across time zones.
• Willing to travel internationally from time to time

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $192,000 - $240,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-DD1

NYC-Based Role - No Exceptions
This position requires being based in the New York City area with 3 days/week in our office. In-person interview required. 

We’re growing fast—and we’re building a world-class R&D organization in the U.S. to scale our global impact. This is an opportunity to become a part of a critical function at the ground floor of that expansion. 

We’re looking for a Senior DevSecOps Engineer to join and scale our U.S.-based DevSecOps function. You’ll join a small team, focused on DevOps tasks in Security-related areas. You’ll be pivotal in designing, implementing and maintaining our cloud infrastructure, especially security-related parts of it. You’ll partner closely with the larger DevOps organization along with Engineering, Security, and IT teams globally to ensure Gong’s systems are secure, scalable, and high-performing.

As one of the foundational members in our U.S. R&D team, you’ll shape not only the infrastructure but also the culture and processes that support Gong’s next phase of expansion and innovation.

RESPONSIBILITIES

• Help designing, deployment, and continuous improvement of secured, scalable and reliable cloud infrastructure (primarily AWS).
• Contribute to the design and implementation of best security practices and tooling for CI/CD, monitoring and developer experience.
• Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
• Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
• Impactful Contribution: Play a major part in shaping the company's cloud strategy, focusing on innovation and long-term success with security considerations in mind.

QUALIFICATIONS 

• 5+ years of experience in DevOps, Site Reliability, or Platform Engineering roles.
• Proven track record of building and operating scalable cloud environments (AWS preferred).
• Deep understanding of infrastructure-as-code and GitOps methodologies  (Crossplane, Terraform, CloudFormation, Pulumi).
• Strong experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins, ArgoCD, CircleCI).
• Extensive experience with running  Kubernetes and container orchestration in production.
• A solid understanding of computer networking fundamentals, REST architecture, and cloud security concepts.
• Experience with AWS security services such as IAM, KMS, GuardDuty, CloudTrail, and Security Hub.
• Knowledge of security principles and compliance frameworks (SOC2, ISO27001, etc.).
• Familiarity with vulnerability scanning and management tools.
• Experience implementing security automation in CI/CD pipelines.
• Background in container security and Kubernetes security best practices.
• Experience working in a Java-based environment.
• One or more security-related certifications (CKA,CISSP, CEH, Security+, or similar).
• Hands-on experience with observability tools (Prometheus, Grafana, Datadog, etc.).
• Excellent communication skills.
• Experience working in fast-paced, high-growth SaaS or product environments.
• Bonus: Experience working in a hybrid/global team across time zones.
• Willing to travel internationally from time to time

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $192,000 - $240,000 USD. 

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

#LI-DD1

About the Role: We are seeking an exceptional Senior Full Stack Engineer to join our elite team. In this role, you will play a pivotal part in building both the frontend and backend services for Brkfst. Your responsibilities will extend to collaborating with our data science team to host models and deliver them through APIs. We are looking for  engineers who can demonstrate a "bias to ship" mindset and a strong sense of urgency. Our goal is to assemble small teams of highly talented individuals who can independently solve problems and self-organize to achieve our objectives.

Responsibilities include but are not limited to;

• Full Stack Development: Lead the development of both frontend and backend services for Brkfst's innovative solutions.
• RESTful Design: Create robust and scalable APIs following RESTful design principles.
• Microservices Architecture: Design and implement microservices architecture to ensure flexibility and scalability.
• Collaboration: Collaborate closely with product managers, data scientists, and TPMs to understand requirements and deliver high-impact solutions.
• Model Hosting: Work with the data science team to host machine learning models and deliver them through APIs for integration into our products.
• Autonomy: Operate with a high degree of autonomy and self-organization to drive projects forward without extensive oversight.
• Problem Solving: Tackle complex problems, self-organize, and devise effective solutions with a keen sense of urgency.

Requirements

• Bachelor's or Master's degree in a related field.
• Proven experience as a Full Stack Engineer with a track record of delivering high-quality software.
• 5+ years of experience in coding and programming with TypeScript, Python, or similar languages.
• 3+ years of experience working with relational databases like MySQL or PostgreSQL.
• 3+ years of experience working with front-end JavaScript libraries such as React, Angular, or Vue.
• Proficiency in Docker containerization.
• Hands-on experience with CI/CD pipelines and tools such as Azure Pipelines, Jenkins, or GitHub Actions.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Experience with Scrum & Agile Methodologies.
• Proficiency in RESTful API design and microservices architecture.
• Excellent communication skills and the ability to work collaboratively in a cross-functional team.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Ability to quickly understand complex problems and devise effective solutions.
• Familiarity with Event-Driven Architecture is a plus.
• Experience working with Marketing APIs such as Facebook, Google Ads, or TikTok is a plus.

Our interview process includes, but is not limited to the following:

•  Excel and Typing Test

We offer a competitive salary and benefits based on education, experience, and skills level, including: 

• Unlimited vacation policy
• Monthly Phone Stipend
• Comprehensive Medical, Dental, and Vision insurance options
• 401(K) plan with matching
• Dog friendly office
• Hybrid work opportunity
• Professional Development Program
• Bonus Perk - Seamless allowance

Total compensation based on education, experience, and skills level ($110,000-$245,000)

• Level 1 - $110,000-$137,000
  
  • Possesses essential capabilities
• Level 2 - $137,000-$164,000
  
  • Possesses developing capabilities
• Level 3 - $164,000-$191,000
  • Possesses notable capabilities.
• Level 4 - $191,000-$218,000
  
  • Possesses strong capabilities
• Level 5 - $218,000-$245,000
  
  • Possesses advanced capabilities.

Job Purpose:

BTIG is seeking an experienced and passionate Senior Database Administrator to design, deliver, and maintain a robust, high-performance database infrastructure. In this role, you will be responsible for the administration, optimization, and security of PostgreSQL, SQL Server, MongoDB, Redis, ClickHouse, and KDB+ databases supporting critical internal applications and trading systems.

Duties & Responsibilities:

Database Administration & Optimization

• Manage and maintain  SQL Server and Postgres environments, including backups and restores using Rubrik, space management, capacity planning, and archiving.
• Proactively optimize database performance, including analyzing query execution plans, tuning SQL queries, and optimizing indexes.
• Manage database schema migrations using golang-migrate and CI/CD pipelines (Jenkins).
• Use Redgate, pgAdmin, for database DevOps, administration, and cross-platform management.
• Execute seamless database upgrades and migrations across all supported versions.
• Evaluate and deploy CloudNativePG for Kubernetes-native PostgreSQL deployments on Kubernetes.

Monitoring & Observability

• Build and maintain database monitoring dashboards and alerts using Prometheus and Grafana.
• Integrate database health metrics with existing LogicMonitor infrastructure monitoring.
• Set up proactive measures to maintain database health, performance, and availability across all environments.

Security & Governance

• Implement and enforce standard security parameters, including rigorous access controls and restrictions on individual logins, to protect company data and ensure compliance with financial regulatory requirements.
• Manage database credentials and secrets rotation through HashiCorp Vault and LastPass.
• Ensure database backup policies meet regulatory retention and disaster recovery requirements using Rubrik.

Collaboration & Automation

• Partner closely with application developers to configure connectors and optimize database interactions across Linux and Windows environments.
• Administer and optimize ActiveBatch workload automation, including maintaining its SQL Server backend and scheduling database maintenance jobs.
• Build and manage data orchestration workflows in Apache Airflow for database ETL, maintenance, and pipeline scheduling.
• Support Redpanda (Kafka-compatible) streaming data pipelines that connect to database systems.
• Leverage a DevOps mindset to script, automate, and create self-service tools for routine DBA tasks using CI/CD platforms (Jenkins, GitHub).

Requirements & Qualifications:

Technical Expertise

• 5+ years of hands-on experience in database administration and architecture in a clustered environment.
• Deep, hands-on expertise with SQL Server (all versions) and PostgreSQL, with experience running PostgreSQL on Kubernetes (e.g., CloudNativePG).
• Strong practical experience with MongoDB, Redis, and ClickHouse. Familiarity with KDB+ a plus.
• Proficiency with Terraform, Ansible, and Helm for database infrastructure provisioning.
• Experience with GitOps workflows (Flux, GitHub Actions, Jenkins) for database deployment automation.
• Familiarity with Prometheus and Grafana for database observability.
• Experience with enterprise backup and recovery platforms (Rubrik) for database protection, point-in-time recovery, and compliance retention policies.
• Experience with enterprise workload automation platforms (ActiveBatch, Apache Airflow), including managing their underlying database dependencies.
• Thorough understanding of underlying database technologies, architecture, and emerging industry trends.

Professional Skills

• Experience supporting database infrastructure in financial services, capital markets, or trading environments is strongly preferred.
• Outstanding organizational, decision-making, and problem-solving abilities.
• Strategic thinker with a budget-focused mindset and the ability to translate business requirements into technical solutions.
• Strong leadership and people skills, with the ability to influence, negotiate, and drive results through collaboration with cross-functional teams.

Important Notes:

• Must be authorized to work full time in the U.S., BTIG does not offer sponsorship for work visas of any type
• No phone calls please, the applicant will be contacted within two weeks if successful

About BTIG:

BTIG is a global financial services firm specializing in institutional trading, investment banking, research and related brokerage services. With an extensive global footprint and more than 700 employees, BTIG, LLC and its affiliates operate out of 20 cities throughout the U.S., and in Europe, Asia and Australia. BTIG offers execution, expertise and insights for equities, equity derivatives, ETFs and fixed income, currency and commodities. The firm’s core capabilities include global execution, portfolio, electronic and outsource trading, investment banking, prime brokerage, capital introduction, corporate access, research and strategy, commission management and more.
 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. BTIG is an equal opportunity employer Minorities/Females/People with Disabilities/Protected Veterans/Sexual Orientation/Gender Identity.

Compensation: 

• BTIG offers a competitive compensation and benefits package. Salary range is based on a variety of factors including, but not limited to, location, years of applicable experience, skills, qualifications, licensure and certifications, and other business and organization needs.
• The current estimated base salary range for this role is $180,000.00 - $225,000.00 per year. Please note that certain positions are eligible for additional forms of compensation such as discretionary bonus or overtime. 

Disclaimer: https://www.btig.com/disclaimer.aspx.

NYISO in Rensselaer, NY seeks a Senior Software Engineer responsible for the design, development, and maintenance of software products. This position performs full stack development, including front end, back end, and database work where appropriate. The Senior Software Engineer will participate in all phases of the Software Development Lifecycle, research new technologies, mentor other developers, collaborate with Project Managers and act as a Subject Matter Expert for their assigned application(s). A Senior Software Engineer will participate in a 24x7x365 on-call support rotation for production applications.

Specifically, the Senior Software Engineer will perform the following duties:

• Apply technical knowledge and experience in order to solve architecture and design problems.
• Create software design specifications for functionality as defined in approved requirement specifications. Ensure that designs are consistent with applicable NYISO software development standards, product’s architectural blueprints and industry guidelines.
• Assist with evaluation of new technology and tools. Incorporate approved technology and tools to enhance the product development process.
• Present technology design and related issues to technical and non-technical audiences.
• Document product architecture plans.
• Design and develop technical testing methods to meet target scalability and performance objectives. Perform any needed tuning of applications that do not meet those requirements.
• Lead projects with assistance from Supervisor and have high visibility with other staff.
• Mentor and coach Associate Developers and Developers.
• Serve as subject matter expert across the organization for the application(s) supported.
• Provide software subject matter expertise and support for all phases of the NYISO software development lifecycle; including requirements, design, development, testing, deployment and post-production support.
• Interact with project managers in all phases of project lifecycle. Provide task estimates and work breakdown structures. Provide advice on feasibility and project status.
• Manage resource allocations for the developers on the project team and track their progress.
• Perform software development activities in support of the NYISO mission and business objectives. Create and/or refactor software programs as defined in approved specifications and designs.
• Create automated unit and functional tests to ensure software changes are reasonably free from defects.
• Provide post-production application support as required. Support responsibilities may include consultation, problem identification, data analysis and/or emergency repairs. Resolve customer complaints with products and respond to suggestions for improvement and enhancements. Requirements for support of mission-critical systems could entail 24x7x365 coverage.
• Develop user interfaces for web-based applications, incorporating best practices and NYISO standards for usability and design.
• Incorporate industry and NYISO best practices for web application security into all software design and development work.
• Responsible to ensure that project team follows guidelines for source code management, collaborate with Release and Control team during code deployments.
• Take ownership of application code, assist with code reviews and suggest changes that will increase performance, security, maintainability or standards compliance.
• Design, create and/or update database tables needed by applications.
• Design, create and/or update SQL and/or PL/SQL statements used by applications.
• Assist with instrumentation and tuning of existing database tables and queries.
• Collaborate with Supervisor, Quality Assurance teams, other IT teams as needed and Project Managers to manage changes to supported applications.
• Assist with data profiling to ensure that application performance targets and database capacity needs will be able to be met in the future.

Bachelor’s degree in Computer science or information systems or related field. The successful candidate must have two years of experience as a software developer. Experience working with the following software/tools is required:

• Eclipse SVN
• Java, JavaScript
• Jenkins, JBoss
• Oracle SQL Developer
• Junit

#LI-DNI