data engineer

software engineer

senior data engineer

data analytics engineer

gcp data engineer

platform engineer

Treeswift

<div>About Treeswift:
In the face of rising threats like severe storms and wildfires, increasing pressure on affordability, and unprecedented demands for system expansion, Treeswift empowers energy companies to modernize their field work to meet the unprecedented growth and challenges ahead. 
 
To accomplish our mission we deploy our sensors into our customers' field operations, typically on backpacks or vehicles. The resulting trove of LiDAR and imagery data is processed through our AI models to deliver actionable analytics through our web platform. To date, our technology has enabled utilities to reduce wildfire, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms. 
 
After starting our work with utilities in June 2024, we are now working with three of the five largest utilities in the United States and are rapidly expanding across new customers and use cases. To tackle this challenge we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker&rsquo;s Inspired Capital. 
 
Treeswift is headquartered in lower Manhattan, and maintains an office in Philadelphia. We also have some customer-facing team members based closer to our customer sites (i.e. Bay Area). 
 
We hope you join us on this journey!
About the role
You are a skilled and motivated Data Platform Engineer. You will:<ul><li>
Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that process terabytes of real-world physical data across many file types&mdash;imagery, audio, point clouds, and more. You will develop and evolve DAGs that orchestrate complex, multi-step workflows: dozens of tasks, fan out/in in pipelines, Python and Kubernetes operators split across generalized and specialized node pools, and dynamic DAG generation. You will work closely with our in-house ML team (feature pipelines and model deployment live in these DAGs) and coordinate with our hardware team on ingestion and formats. Scope is a mix of pipeline development and platform ownership and we are happy to adjust the scope and balance of responsibilities based on your interests and strengths.</li><li>
Help us scale and harden our data platform. We have one dedicated data engineer today; you will be the second. The broader engineering team is highly collaborative and you will work with members of the full-stack and machine learning teams. We are looking for someone to improve DAG design and execution, resource and cost tuning, reliability and observability, and contribute to how we run Airflow and Kubernetes in the cloud. If you enjoy writing pipelines and improving the platform that runs them, this role has room for both.</li><li>
Stay curious, collaborative, and cross-functional. We are a small team where many people wear multiple hats. You will work alongside ML engineers, hardware engineers, and software engineers. Turning a technically complex set of requirements from a critical industry into a rich data set is at the center of what we do. We take pride in managing complexity and providing high-fidelity data that our customers can use to make better-informed decisions.</li><li>
Be an owner at Treeswift; make the company better in whatever form that takes. We value the full picture you bring&mdash;whether that&rsquo;s deep expertise in orchestration, a knack for debugging at scale, or hidden talents outside work. We launched our platform last fall and have only scratched the surface of what&rsquo;s possible in terms of finding ways to add value for our customer. You will partner closely with some of the largest utilities in the country and contribute to efforts to develop new workflows in work planning, construction and disaster response.</li></ul>
This is a full-time, hybrid role based out of our Lower Manhattan, NYC office (2 days per week in person, currently pinned to Tuesdays and Wednesdays).
Required skills<ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Math, or a related field (or equivalent experience).</li><li>
4+ years of data engineering or backend engineering experience with a focus on pipelines, orchestration, or platform.</li><li>
Hands-on experience building and maintaining production data pipelines (e.g. Airflow, Prefect, Luigi, or similar). We use Python for our pipeline environment, machine learning, and developer tooling; we don&rsquo;t require Python expertise and are happy for you to learn on the job.</li><li>
Experience with cloud object storage and data-at-scale (we use AWS and S3; cloud experience is required, but prior AWS experience is not).</li><li>
Comfort with Kubernetes and container-based deployments in practice: running workloads on K8s, resource and volume configuration, and debugging pod/worker issues.</li><li>
Ability to own work end-to-end: design, implement, test, and operate pipelines and related tooling. You are comfortable picking up new parts of the stack when needed.</li><li>
Strong collaboration and communication; you work well with ML, hardware, and product stakeholders and can explain tradeoffs clearly.</li></ul>
Nice-to-haves<ul><li>
Experience in early-stage or fast-moving environments where scope and ownership evolve.</li><li>
Experience with Apache Airflow (especially 3.x) and/or Astronomer.</li><li>
Experience with geospatial data, imagery, lidar, or point clouds.</li><li>
Interest in utilities, forestry, or field operations and how data pipelines support those domains.</li></ul>
Salary
The estimated salary range for this position is 160,000 - 200,000 USD. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.
Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.</div>

Data Platform Engineer

Schrödinger

<div><div>Schr&ouml;dinger seeks a Machine Learning (ML) Platform Engineer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

As a member of the Machine Learning team, you'll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.

Who will love this job:
<ul>
<li>A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production</li>
<li>An ML expert who's familiar with PyTorch, TensorFlow, and scikit-learn</li>
<li>An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems</li>
<li>A polymath who's excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration</li>
</ul>
What you'll do:
<ul>
<li>Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows</li>
<li>Build and maintain production systems that enable scientists to run large-scale ML workloads</li>
<li>Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools</li>
<li>Contribute to backend services and APIs supporting ML workflows and platform features</li>
<li>Improve developer workflows, testing infrastructure, and deployment automation</li>
<li>Participate in code reviews and contribute to engineering best practices across the team</li>
<li>Pitch in on frontend components of the ML platform web interface when needed</li>
</ul>
What you should have:
<ul>
<li>BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field</li>
</ul>
Experience with the following is nice to have, but not required:
<ul>
<li>Cloud platforms like AWS or GCP</li>
<li>Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts, etc.)</li>
<li>CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)</li>
<li>Monitoring, logging, or observability systems</li>
<li>Distributed computing or large-scale ML workloads</li>
<li>ML training pipelines or experiment management</li>
<li>Data processing pipelines or large-scale data analysis</li>
<li>Source control systems (Git or similar)</li>
<li>Web application development (e.g., React, TypeScript, REST APIs)</li>
<li>Interest in scientific computing, chemistry, biology, physics, or related domains</li>
</ul>
</div><div></div><div>Pay and perks:</div>
<div><div>Schr&ouml;dinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schr&ouml;dinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.</div>
<div></div>
<div>Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.</div>
</div>
<div></div><div>Sound exciting? Apply today and join us!</div>
<div></div>
<div>As an equal opportunity employer, Schr&ouml;dinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, &quot;diversity&quot; isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.</div></div>

Machine Learning Platform Engineer

Apple

At Apple, great ideas quickly become phenomenal products, services, and customer experiences. Apple Pay has brought the Apple Wallet to millions of customers worldwide, enabling them to carry digital credentials such as credit and debit cards, transit passes, hotel and car keys, theme park tickets - and now, mobile driver&rsquo;s licences - all in their Apple Wallet. Building and scaling these features requires not just world-class engineering, but a deep understanding of how institutions around the world operate, implement standards, and protect user data and privacy. 
 
You'll have the opportunity to tackle the intricate challenge of building resilient and reliable distributed software systems at Apple's scale as a Developer Platform Engineer at the intersection between data platform and operational data components and microservices architecture. You will be given flexibility to explore creative solutions, the support of a talented and driven team, and access to diverse technologies. You will have the autonomy, and responsibility, to take full ownership of your solutions. 
 
Description 
 
The role is a hands-on contributor to our internal developer platform. You will engineer solutions contributing to both tech stacks and bring the appropriate degree of convergence. You will navigate the layers between application, platform, cloud, and infrastructure engineering. This will be coding, architecture and operational work in a DevOps team. 
 
You'll join a nimble team involved in every stage of the platform-as-a-product and will design, build, test, deliver and maintain exceptional software that truly makes a difference. In this fast-paced environment, you'll be hands-on in all phases, and will actively shape the architecture and design of our platforms and offerings through the lived experience of operating, monitoring, and providing on-call support for the software you build. 
 
One key area of responsibility would be dev, prod operations, automation, and cross-functional efforts to facilitate adoption of the platform capabilities by the wider organisation and their use in production. Our solutions are shaped by deep understanding of the problems which will inform what we build in the platform. 
 
This role values deep technical expertise and its application in a simple, opinionated internal developer platform. The ultimate goal of our platform is two-fold: modernise the technical stack and the engineering culture in our organisation. The success metric is platform adoption and its continuous use inside Wallet, Payment Commerce, to continue shipping amazing Apple products. 
 
The use cases that rely on our work range from customer-facing to internal back office, near-real-time and batch, event-driven microservices and OLTP and OLAP workloads. The products we look after form an internal developer platform that favours simplicity and common solutions with a high degree of automation and composability. 
 
This role may require occasional international travel.&quot;,&quot;responsibilities&quot;:&quot;Work with our platform users to enable adoption and work tactically at the right level between all aspects of the platform or the services we leverage. We are here to enable others. 
 
Contribute to technical alignment between all functions offered by the platform. You will work a lot in the integration and complementarity of the services, aiming to converge the solutions space towards a simple, reusable and opinionated set. 
 
Have a particular focus on data services convergence: transactional, at rest and in transit. This will extend to the integration with analytical systems and cross-functional support (for example data compliance, data contracts) 
 
Be a product advocate for the platform itself: notice the opportunities between different solutions, assess whether a platform solution would bring value and work on the delivery of this. Our objective is to pursue a platform-as-a-product delivery. 
 
Provide hands-on, evidence-based and example-based decisions. Sometimes this means getting familiar with technologies you did not know before 
 
Steering high impact solution from initial inception to org-wide deployment 
 
Drive the platform itself and the culture to a model of modern engineering practices. 
 
Guide foundational and architectural design and delivery- including education, documentation and collaborative delivery. Our work must be approachable. 
 
As a key member of the team, you'll participate in technical discussions, write specifications, review code, and produce documentation. Success in this role therefore requires strong self-motivation, crisp and clear communication, a highly collaborative approach, and the ability to work effectively across teams and disciplines. 
 
Preferred Qualifications 
 
Practical experience with internal developer platform and commodity data engineering products with bonus points for working in the overlap between services and data. 
 
Demonstrable experience of working on a data mesh or an event mesh or similar architectures. 
 
Experience converging evolving diverse and varied architectures into unified opinionated solutions. 
 
Been an advocate for continuous delivery, DevOps and similar best practices and familiarity with CI/CD pipelines and infrastructure as code. 
 
Familiarity with our technical stack and its major components: AWS, Java, Kotlin, HTTP/REST, gRPC, container orchestration with Kubernetes and the management plane with Controller and Operators, Data Science tools like Iceberg, Spark, Flink, SQL/NoSQL databases (e.g. Aurora, DynamoDB, CockroachDB, Oracle). 
 
Time spent architecting, building, supporting or otherwise working on cloud-native (e.g. AWS) applications with resilience as a core feature. 
 
Experience with observability tools (e.g. Prometheus, Grafana, OpenTelemetry, Datadog). 
 
An appreciation for, and understanding of security, privacy, and cryptography. 
 
Minimum Qualifications 
 
A commitment to continuous learning and improvement, and curiosity for new technologies, techniques and patterns in pursuit of engineering excellence. 
 
A solid understanding of distributed systems fundamentals, particularly about the the trade-offs on data. 
 
An ability to communicate thoughtfully and clearly, both verbally and in writing, to discuss complex technical concepts with diverse audiences, including global teams and external partners. 
 
A track record of building and sustaining healthy long-term relationships within your team, and beyond its boundaries. 
 
The tenacity and perseverance to drive a complex project all the way from conception to production. 
 
4+ years of relevant industry experience as a software engineer and product-oriented architecture. 
 
No formal degree is required. What matters most is your mindset, your initiative, and your ability to apply your skills to real-world applications. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Platform Software Engineer, Operational Data

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
 
The Role - Senior Software Engineer, Data Platform
 
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.
 
This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
 
What You'll Do
 Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
 Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
 Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
 Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
 Stay up-to-date with emerging technologies and industry trends in data systems and platform development
 Qualifications
 A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
 A product-minded approach—you understand how our software impacts user experience and business outcomes
 Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
 Excellent collaboration and communication skills, with the ability to influence across teams
 Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
 Hands-on experience designing and operating modern data lakehouse and warehouse systems (Iceberg, Trino, BigQuery, StarRocks, Citus)
 Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
 Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
 Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
 Preferred Qualifications
 Experience with Rust
 Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
 History of open source contribution, particularly in the data systems ecosystem
 
The base salary range for this role is $190,000 - $240,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
 
One team, being brave, driving change
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Software Engineer, Data Platform

PJT Partners

<div>PJT Partners is a global advisory-focused investment bank. Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds.
From the beginning, PJT Partners has firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients.
To learn more about PJT Partners, please visit our website at www.pjtpartners.com .
<h1 class="jobSectionHeader">Responsibilities
</h1>The PJT Partners Technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm&rsquo;s business activities. Our Technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm&rsquo;s AI initiatives. This is a platform engineering role &mdash; the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models. You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm&rsquo;s security and compliance requirements.
Responsibilities include:
AI Platform &amp; Developer Infrastructure
<ul><li>Design, build, and operate the firm&rsquo;s AI platform, enabling developers to build and deploy Python-based AI applications;
</li><li>Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;
</li><li>Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;
</li><li>Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm.
</li></ul>Data Infrastructure &amp; Pipelines
<ul><li>Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs;
</li><li>Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications;
</li><li>Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB.
</li></ul>Cloud Infrastructure &amp; DevOps
<ul><li>Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep);
</li><li>Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions;
</li><li>Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services;
</li><li>Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement.
</li></ul>Security, Governance &amp; Compliance
<ul><li>Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements;
</li><li>Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations;
</li><li>Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities;
</li><li>Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level.
</li></ul>Collaboration &amp; Documentation
<ul><li>Produce architecture designs, runbooks, and technical documentation for all platform components;
</li><li>Support application developers building AI-powered applications with platform guidance and troubleshooting;
</li><li>Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure.
</li></ul><h1 class="jobSectionHeader">Qualifications
</h1>PJT Partners seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following:
<ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, or related field (Master&rsquo;s degree is a plus);
</li><li>8+ years in infrastructure engineering, cloud platform engineering, or data engineering;
</li><li>Demonstrated experience building shared platforms or developer services in an enterprise environment;
</li><li>Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;
</li><li>Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks;
</li><li>Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes;
</li><li>Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability;
</li><li>RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns;
</li><li>Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;
</li><li>Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;
</li><li>DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design;
</li><li>Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph);
</li><li>Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse;
</li><li>Azure certifications: AI-102, DP-203, or AZ-305;
</li><li>Prior experience in investment banking or regulated financial services environments.
</li></ul>Expected annualized base salary of $175,000 to $215,000.
This range represents the low and high ends of the expected annualized base salary for this position. The specific base salary received by any employee will be informed by a number of factors, including but not limited to, role level and scope, location, candidate&rsquo;s relevant qualifications, skills and experience.
Base salary is one component of PJT Partners&rsquo; compensation structure. In addition to base salary, PJT Partners&rsquo; compensation structure may include additional rewards, incentives and benefits, including but not limited to, a discretionary bonus component.
PJT is an equal opportunity employer. We do not discriminate on the basis of, and will consider all qualified applicants for employment without regard to race, color, religious creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity expression, disability, medical condition, genetic information or predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other category protected by law. PJT Partners also complies with all applicable laws with regard to providing reasonable accommodation of disabilities to applicants. For more information or to request an accommodation, please contact Human Resources.
California Applicants: PJT Partners will consider for employment qualified applicants with arrest and/or conviction records in a manner consistent with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance and/or Los Angeles Fair Chance Initiative for Hiring Ordinance.
Applicant Privacy Notice:
View our Applicant Privacy Notice https://info.pjtpartners.com/PJT_Global_Applicant_Privacy_Notice here. If you are a California resident, please refer to our California Applicant Privacy Notice https://info.pjtpartners.com/California_Applicant_Privacy_Notice for further information. 
 
*In order to be considered, please ensure your resume/CV is submitted in PDF format.</div>

Vice President - Technology (Data & AI Infrastructure Engineer)

Information Technology Senior Management Forum

<div><div>Posted Date
3/12/2026
</div><div>Description
<div>Senior Software Engineer, DevOps
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking experienced DevOps Engineers who are passionate about platform engineering to join our team. As an Engineer on our team, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
&quot;Our mission is to build a platform that developers love to use, even as we scale to support a massive multi-tenant environment. You will play a critical role in reducing cognitive load for the wider organization by codifying operational knowledge into custom Kubernetes Operators and automation tools written in Go. By joining this team, you are effectively building the 'internal product' that powers the company, turning the friction of navigating a large fleet of clusters into a streamlined, automated experience that accelerates innovation.&quot;
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One&rsquo;s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
What You&rsquo;ll Do:<ul><li>
Lead a portfolio of diverse technology projects with deep experience in platform engineering, machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of customers achieve financial empowerment</li><li>
Utilize programming languages like Python, and Golang, along with container orchestration tools including Docker and Kubernetes, configuration management tools including Ansible and Terraform, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree</li><li>
At least 3 years of experience in DevOps Engineering (Internship experience does not apply)</li><li>
At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)</li><li>
At least 2 years of Unix or Linux system administration experience</li></ul> 
Preferred Qualifications:<ul><li>
4 + years of DevOps and Platform Engineering experience</li><li>
4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)</li><li>
2 + years of experience with cloud orchestration tooling and related technologies Kubernetes, Helm, ArgoCD, Crossplane, AWS ACK</li><li>
2 + years of experience using build and deployment tools (Jenkins, Docker)</li><li>
2+ years of experience with deploying clustered web services</li><li>
2+ years of experience building custom Kubernetes operators and controllers using frameworks like Kubebuilder</li><li>
2+ years of experience with Kubernetes CNI and Mesh tooling like Istio, Cilium or Linkerd</li><li>
2+ years of experience working within Agile Development Practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $176,500 - $201,400 for Senior Software Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Software Engineer, DevOps
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking experienced DevOps Engineers who are passionate about platform engineering to join our team. As an Engineer on our team, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
&quot;Our mission is to build a platform that developers love to use, even as we scale to support a massive multi-tenant environment. You will play a critical role in reducing cognitive load for the wider organization by codifying operational knowledge into custom Kubernetes Operators and automation tools written in Go. By joining this team, you are effectively building the 'internal product' that powers the company, turning the friction of navigating a large fleet of clusters into a streamlined, automated experience that accelerates innovation.&quot;
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One&rsquo;s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
What You&rsquo;ll Do:<ul><li>
Lead a portfolio of diverse technology projects with deep experience in platform engineering, machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of customers achieve financial empowerment</li><li>
Utilize programming languages like Python, and Golang, along with container orchestration tools including Docker and Kubernetes, configuration management tools including Ansible and Terraform, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree</li><li>
At least 3 years of experience in DevOps Engineering (Internship experience does not apply)</li><li>
At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)</li><li>
At least 2 years of Unix or Linux system administration experience</li></ul> 
Preferred Qualifications:<ul><li>
4 + years of DevOps and Platform Engineering experience</li><li>
4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)</li><li>
2 + years of experience with cloud orchestration tooling and related technologies Kubernetes, Helm, ArgoCD, Crossplane, AWS ACK</li><li>
2 + years of experience using build and deployment tools (Jenkins, Docker)</li><li>
2+ years of experience with deploying clustered web services</li><li>
2+ years of experience building custom Kubernetes operators and controllers using frameworks like Kubebuilder</li><li>
2+ years of experience with Kubernetes CNI and Mesh tooling like Istio, Cilium or Linkerd</li><li>
2+ years of experience working within Agile Development Practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $176,500 - $201,400 for Senior Software Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
176,500.00 - 201,400.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Software Engineer, DevOps

Integral Ad Science

<div>Job Description:
Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we&rsquo;re looking for a Senior Engineer to join our DevOps Platform team. Do you have the desire and ability to touch everything across the tech stack that has the power to handle hundreds of thousands of transactions per second and collect tens of billions of events each day? Our systems also evaluate thousands of data-points in real-time, process years of videos every hour, and respond in just a few milliseconds. Then IAS is the place for you!
As a Senior Engineer, DevOps Platform, you will be part of our CI/CD Engineering Team&mdash;a specialized group that has extreme ownership of how software gets versioned and deployed. They develop self-service CI infrastructure, build tooling, versioning/tagging strategies, and GitOps. You will collaborate closely with developers on Product and Platform teams across Engineering and Data Science to enhance tooling, templates, and frameworks.
What you&rsquo;ll get to do:<ul><li>
Work with and debug our current stack: GitHub, Jenkins, GitOps, k8s, Flux CD, Databricks and help design our future stack (i.e. Argo CD) with self-service</li><li>
Cut deep into systems in order to drive directly to a resolution and develop the source code in order to make it possible</li><li>
Face a variety of challenges that will allow you to constantly expand your repertoire by always learning new complex systems and skills</li><li>
Use your expert knowledge of SDLC, integrating systems through code in order to improve tooling and processes</li></ul>
You should apply if you have most of this experience:<ul><li>
Bias toward action, backed by the ability to architect and implement solutions from initial commit to 1.0 release</li><li>
Strong coding background with either Java (or Groovy), or Python (2+ years)</li><li>
Expert knowledge of DevOps and CI/CD principles, best practices, Git, and dev tools across multiple languages (Gradle, Maven, NPM, Python build tools, etc.)</li><li>
Experience developing and maintaining Jenkins shared libraries and Jenkinsfiles</li><li>
Expertise in containerization (Kubernetes, Docker, distroless)</li><li>
Hands-on experience with k8s tools: Flux CD, Argo CD, Istio, Karpenter, Grafana stack, Flagger, External Secrets Operator, Helm, Kustomize, Kyverno</li><li>
Hands-on experience with AWS (CloudFormation, CDK) and cloud-native deployments, Infrastructure-as-Code (IaC), and orchestration tools (Atlantis, Terraform, Terragrunt)</li><li>
5+ years of overall experience in software engineering, DevOps, or platform engineering</li><li>
Strong experience in Linux administration and configuration (2+ years)</li><li>
Self-motivated and able to work independently as part of a remote-first team</li></ul>
What puts you over the top:<ul><li>
Experience with Jenkins runtime JVM debugging, Jenkins plugins development</li><li>
Experience with Application profiling, debugging applications across local and remote environments</li><li>
Experience with MLOps tooling and Data Science workflows, Databricks</li></ul>
IAS Pay Transparency:
The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate&rsquo;s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.
Primary Location:
US - Chicago, IL
Primary Location Base Pay Range:
Annual
Additional Locations:
USA - Remote
Additional Locations Pay Range:
89,600.00 - 153,600.00 USD Annual
About Integral Ad Science:
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.</div>

Senior DevOps Engineer

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