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devops engineer

Goldman Sachs

<div><div><div><div><div><div><div><p><b>What We Do</b></p>
<p>
At Goldman Sachs, our Engineers don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.</p><br>
<p></p>
<p><b>
Cloud Platform</b></p>
<p>
As part of Core Engineering at Goldman Sachs, the Cloud Platform team is responsible for enabling the use of public cloud services across the firm. You will be working as part of multi-disciplinary team responsible for researching, architecting and building a cutting-edge platform that enable Goldman Sachs teams to deploy and manage services in public cloud safely and securely. We are at an early stage of modernizing our services around cloud native principles, and you will be directly contributing to platform that programmatically enforces safety, security and compliance of services and enables engineers to innovate faster.</p>
<p>
The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting-edge cloud computing solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer-centric product development. They will work closely with cross-functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.</p><br>
<p></p>
<p><b>
Responsibilities And Qualifications:</b><br>
<br>
As part of our global Cloud Platform team you will work on various components as a Software Engineer. Your role includes specification, development, testing and releasing of new features. The team owns the platforms throughout the lifecycle. You are expected to contribute to the vision, understand our customers&rsquo; needs, business goals, product roadmap and contribute to building an engineering culture within the team. We expect the successful candidate to deliver high quality software and to be passionate about software engineering. You must have a proficient understanding of software development, security and the mechanisms to design safe, resilient and highly-available cloud native services.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p>
<ul><li>
You are an enthusiastic software engineer with a passion for learning new technologies and driving solutions that enable deploying workloads onto public cloud</li><li>
You have demonstrable experience of software design principles and application development, ideally using Java or Python.</li><li>
You have working experience of one or more of the major Cloud Service Provider (AWS, GCP, Azure &amp; OCI) services</li><li>
You will design, build and test technical and operational management solutions of Cloud Platforms, specifically Microsoft Azure, Oracle Cloud Infrastructure, AWS and Google Cloud Platform.</li><li>
You will be familiar with Infrastructure as code (IaC) tooling such as Bicep, CDKs with Typescipt, Hashicorp Terraform and Cloud Formation.</li><li>
You proactively manage issues and risks through the delivery lifecycle</li><li>
Collaborate with a globally-distributed cross functional team in building customer-centric products.</li><li>
Manage the end to end lifecycle of software components, from requirements through design, testing, development, release and demise.</li><li>
Partner with colleagues from across Engineering to ensure an outstanding, useable, and unobtrusive experience for development teams building and deploying their applications and infrastructure.</li><li>
Communicate and promote best practices for public cloud application development and infrastructure management across the firm.</li></ul><br>
<p></p>
<p><b>
Basic Qualifications:</b><br>
</p><ul><li>Bachelors/Masters degree in in Computer Science or equivalent professional work experience.</li><li>
Minimum 2+ years of relevant professional experience.</li><li>
At least 1 years hands-on experience architecting, designing, administering, or developing management solutions for any of the main Cloud Providers: Amazon Web Services, Google Cloud Platform, Microsoft Azure or Oracle Cloud.</li><li>
Ability to establish trusted partnerships with product leads, and executive level stakeholders</li><li>
Experience with Infrastructure-as-Code languages such as Terraform or Cloud Formation for managing and provisioning infrastructure.</li><li>
Experience in leveraging Developer AI tools</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications:</b><br>
</p><ul><li>Bachelor or Advanced Degree in Computer Science or related field.</li><li>
2+ years of work experience with one or more of the major cloud platforms, though exposure to Azure, Oracle or Google would be advantageous.</li><li>
Hand on experience of software development, ideally using Java or Python.</li><li>
Knowledge and experience of software development lifecycle and infrastructure-as-code tooling, such as Cloud Formation, Terraform, and AWS CDK.</li><li>
Experience with security, isolation and multi-tenant design of distributed cloud services.</li><li>
Familiarity with software artifact and container image lifecycle management and governance.</li><li>
Familiarity with cloud network architectures and the integration with hybrid cloud networking.</li><li>
Experience with Server-less platforms such as AWS Lambda, AWS Batch etc.</li></ul><br>
<p></p>
<p><b>
Salary Range</b><br>
The expected base salary for this Seattle, Washington, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.</p><br>
<p></p>
<p><b>
About Goldman Sachs</b></p>
<p>
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.</p>
<p>
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.</p>
<p>
We&rsquo;re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</p></div></div></div></div></div></div><div><div><div><div><div><b>
We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
Seattle
JOB FUNCTION
Software Engineering
DIVISION
Engineering Division
SALARY RANGE
USD 115,000 - 180,000</p>

Specialized Cloud - Software Engineer - Associate - Seattle

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The AWS Region Services team is hiring a cleared Dedicated Cloud Engineer to support cloud security services for the U.S. Intelligence Community. Our team is tasked with protecting the AWS infrastructure that is used by our National Security customers. Join our mission to help lead, deploy, and support the security systems that raise the security bar for the U.S. Government!<br>
<br>
The Faraday team supports customer-facing security services in Amazon Dedicated Cloud (ADC) regions, including GuardDuty, Security Hub, and Inspector.<br>
<br>
As a Cloud Engineer on our team, you will be instrumental in managing the operational load to scale a massive &amp; always-on distributed system, proactively automating away problems in order to improve the quality of service for our security operations customers.<br>
<br>
If you thrive in operating complex systems, diagnosing and resolving the hardest corner case operations problems, please apply! Our systems engineers don't just solve problems - we look to engineer services to scale with lots of automation, decreasing effort along the way. We know that the really interesting problems are hiding inside this automation challenge.<br>
<br>
You'll work side-by-side with our security engineers and service development teams to deploy and maintain the security information and event management (SIEM) platform they use every day. We have a lot of log data to process and we need your help! You'll implement mechanisms to drive our availability metrics up and our latency metrics down. We're need you to &quot;think big&quot; and ensure that we're set up to scale for the future. We need you to Invent and Simplify new operational tools to improve the velocity of our Security Operations service customers.<br>
<br>
We're not looking for hands or button pressers - we're looking for motivated individuals who want to scale security systems and change the way the business operates as a result. You need to be open to new challenges and willing to learn new technologies. In addition to using internal Amazon tooling, we are huge advocates for using public AWS services to build our platform. You should always be thinking, &quot;How could this work without me involved?&quot; and then building a solution to make it happen.<br>
<br>
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.<br>
<br>
Key job responsibilities<br>
<ul><li>Operate within the team of peer engineers with lots of personal autonomy to solve complex systems engineering problems through innovative approaches.</li></ul><br>
<ul><li>Provide guidance on system architecture and recommend solutions in alignment with systems engineering best practices.</li></ul><br>
<ul><li>Calmly and quickly diagnose and fix critical system failures in high pressure situations to reduce Mean Time to Resolve (MTTR).</li></ul><br>
<ul><li>Engineer Operational Improvements to reduce operational efforts to Keep the Lights On.</li></ul><br>
<ul><li>Troubleshoot unknown-unknown problems into known-known root causes using your holistic knowledge of systems to break the problem down and isolate the cause(s); then drive them to resolution</li></ul><br>
About the team<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
AWS Infrastructure Services (AIS)<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Information Science, Information Technology, Computer Science, Computer Engineering, Electrical Engineering, or a related field</li><li>1+ years of systems administration (Linux/Windows) experience</li><li>Experience working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent</li><li>Current, active US Government Security Clearance of TS/SCI with Polygraph</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>1+ years of cloud computing technologies experience</li><li>1+ years of networking and troubleshooting experience</li><li>1+ years of support procedures and methodologies for production computing environments experience</li><li>Experience automating routine tasks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 91,000.00 - 152,000.00 USD annually</div><p></p>

Dedicated Cloud Engineer, ADC Faraday

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch<br>
decisions for new EC2 instance types and has visibility at senior leadership.<br>
<br>
Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.<br>
<br>
Key job responsibilities<br>
Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and<br>
software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases
<br>
and make it easy to evolve.<br>
<br>
A day in the life<br>
You write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines. You manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.<br>
<br>
About the team<br>
We are part of Annapurna Labs, a subsidiary in AWS that builds software and hardware that make ML on EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new GPU instance types.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience working with Linux</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li><li>Experience coding in Python</li><li>Experience with TypeScript and AWS CDK for infrastructure as code</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ML Infrastructure Team

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

GEICO

<div><p><b>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</b></p><p><b>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.</b></p><p></p><p><b>
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.</b></p><p></p><p><b>
Position Summary
</b></p><p>GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning.</p><p></p><p><b>
Position Description</b></p><p>
As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform. Our team thrives and succeeds in delivering high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data pipeline development and data transformation to data storage and processing optimization.</p><p></p><p><b>
Position Responsibilities</b></p><p>
As a Senior Engineer, you will:</p><ul><li>
Scope, design, and build scalable, resilient distributed systems</li></ul><ul><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li></ul><ul><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Define, create, and support reusable data components and patterns that align with both business and technology requirements</li><li>
Build a world-class analytics platform to satisfy reporting needs</li><li>
Mentor other engineers</li><li>
Consistently share best practices and improve processes within and across teams</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines</li></ul><ul><li>
Experience with business intelligence tools (Power BI or Superset preferred)</li><li>
Proven understanding of microservices oriented architecture and REST APIs and GraphQL</li><li>
Experience architecting and designing new and current systems</li><li>
Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions</li><li>
Advanced PowerShell scripting skills</li><li>
Advanced understanding of monitoring concepts and tooling</li><li>
Advanced understanding of security protocols and products</li><li>
In-depth knowledge of CS data structures and algorithms</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Strong problem-solving ability</li><li>
Ability to excel in a fast-paced environment</li></ul><p></p><p><b>
 Experience</b></p><ul><li>
4+ years of professional experience in data engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
2+ years of experience in Big-data tools like Spark and Databricks</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent education or work experience</li></ul><p></p><p><b><br>
Annual Salary</b></p>
$80,000.00 - $215,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.</p><p>
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.</p><p></p><p><b>
Great Careers:</b> We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.</p><p></p><p><b>
Great Culture:</b> We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.</p><p>
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.</p><p></p><p><b>
Great Rewards:</b> We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.</p><ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul><p></p><p>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Senior Engineer - Data

Nscale

<div>
 <strong>
  About Nscale
  <br/>
  <br/>
 </strong>
 Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
 <br/>
 <br/>
 We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're hiring a
 <strong>
  <strong>
   Data Analytics Engineer
  </strong>
 </strong>
 to surface the connections between GPU procurement, capacity planning, cost and margin, and financing decisions across the business.
 <br/>
 <br/>
 This role sits across
 <strong>
  <strong>
   Supply Chain, Finance, and Capacity
  </strong>
 </strong>
 , helping build the analytical threads that link decisions made in each function. Before dedicated specialists are in place across these domains, you'll extend the team's reach by creating integrated analysis, partnering with the
 <strong>
  <strong>
   Senior Analytics Engineer
  </strong>
 </strong>
 , and helping leadership see the full picture rather than a siloed view.
 <br/>
 <br/>
 Your work will help turn non-obvious business linkages into clearer, better-informed decisions. This is an opportunity to shape how Nscale thinks across critical parts of the business and to highlight where deeper analytical specialization will have the greatest impact.
 <br/>
 <br/>
 What you'll be doing
 <br/>
 <br/>
 <strong>
  <strong>
   Cross-Functional Analysis
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Float across Supply Chain, Finance, and Capacity to build the analytical products each function needs.
  </li>
  <li>
   Identify non-obvious connections between procurement, capacity, cost structures, margin, and vendor strategy.
  </li>
  <li>
   Surface cross-domain insights to leadership with clear data and structured analysis behind them.
  </li>
  <li>
   Translate decisions made in one part of the business into implications for adjacent functions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Leadership Briefings and Decision Support
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Write integrated analytical memos and briefings that bring cross-functional context to key decisions.
  </li>
  <li>
   Frame complex business questions in a way that helps leadership evaluate trade-offs across domains.
  </li>
  <li>
   Tailor written outputs for different audiences, including stakeholders in Supply Chain and Finance.
  </li>
  <li>
   Present a more complete business picture when decisions might otherwise be made with a narrow lens.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Data and Analytics Development
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Partner with the Senior Analytics Engineer to access the data needed from the Foundry analytics layer.
  </li>
  <li>
   Build datasets and reports in Foundry or equivalent platforms to support business analysis.
  </li>
  <li>
   Flag data coverage gaps across Supply Chain, Finance, and Capacity as they emerge.
  </li>
  <li>
   Create useful analytical output even when problem statements or requirements are not fully defined.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Team Evolution and Coverage Planning
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Help scope the specialist roles that will eventually replace generalist coverage across these domains.
  </li>
  <li>
   Use your cross-functional work to reveal where dedicated analytical capacity is most needed.
  </li>
  <li>
   Extend team coverage during a period before domain-specific analytical roles are fully established.
   <br/>
   <br/>
  </li>
 </ul>
 KPIs
 <br/>
 <br/>
 <ul>
  <li>
   Integrated leadership memos and briefings delivered
  </li>
  <li>
   Cross-domain business insights surfaced
  </li>
  <li>
   Data coverage gaps identified across Supply Chain, Finance, and Capacity
  </li>
  <li>
   Specialist role needs scoped based on cross-functional analysis
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1&ndash;2 years of analytics experience, with direct work across at least two business domains
  </li>
  <li>
   Experience spanning combinations such as supply chain and finance, operations and commercial, or procurement and capacity planning
  </li>
  <li>
   Strong interest in understanding how different parts of the business connect, rather than going deep in only one area
  </li>
  <li>
   Excellent written communication skills, including clear prose, structured arguments, and clean visuals
  </li>
  <li>
   Ability to write effective analytical memos for different functional audiences, including Supply Chain and Finance
  </li>
  <li>
   Comfort operating in ambiguity and orienting quickly in a new business domain
  </li>
  <li>
   Skill in identifying the right analytical question without needing a highly detailed brief
  </li>
  <li>
   Enough technical range to build datasets and reports in Foundry or equivalent platforms
  </li>
  <li>
   Foundry experience is a bonus
  </li>
  <li>
   Background in AI infrastructure, GPU supply chain, hardware procurement, or high-growth operations is a strong advantage
   <br/>
   <br/>
  </li>
 </ul>
 What we can offer you
 <br/>
 <br/>
 At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
 <br/>
 <br/>
 Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. 🚀
 <br/>
 <br/>
 Join one of the fastest-growing AI infrastructure companies &mdash; your chance to directly shape how global AI capacity is planned and deployed. ✨
 <br/>
 <br/>
 Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy &mdash; always with our full support.
 <br/>
 <br/>
 Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
 <br/>
 <br/>
 Equal Opportunities Statement
 <br/>
 <br/>
 We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
 <br/>
 <br/>
 If there's anything we can do to accommodate your specific situation, please let us know.
 <br/>
 <br/>
 The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
 <br/>
 <br/>
 For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
 <br/>
 <br/>
 The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $80,000&mdash;$110,000 USD
 <br/>
 <br/>
 <em>
  For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.
 </em>
</div>


Data Analytics Engineer

Gary Merlino Construction

<div>Gary Merlino Construction Co., Inc is a privately held locally owned and operated general contractor specializing in heavy civil construction. Over the years GMCC has become one of the largest and most diversified contractors in the Puget Sound Region, self-performing approximately 85% - 90% of all projects awarded.<br>
<br>
GMCC&rsquo;s status as a leader in the Puget Sound construction industry gives our team an opportunity to work on a variety of unique projects in the area. You will be a member of a team that provides accelerated career growth through exposure to all civil disciplines.<br>
<br>
We are currently seeking a <b>CERTIFIED</b> <b>WELDER</b> for our facility in Seattle.<br>
<br>
<b>Position Summary</b><br>
We are looking for a FCAW WABO certified welder for our facility in Seattle with a current and valid driver's license. Ideal candidates have steel and aluminum fabrication experience, mechanical experience including electrical and troubleshooting, or with 5+ years of related work history.<br>
<br>
REQUIRED QUALIFICATIONS:
<ul><li>Must have at least 3 years steel and aluminum welding experience or technical school completion with current WABO FCAW certificate.</li>
<li>Ability and desire to take on increasingly complex responsibilities.</li>
<li>Ability to read and follow engineer drawings and instructions, both written and verbal.</li>
<li>Ability to use wide variety of tools and equipment.</li>
<li>Ability to use overhead cranes and forklifts.</li>
<li>Proficient on a variety of steel and aluminum including various grades and thickness.</li>
<li>Mechanical experience including 12 volt wiring, hydraulic, and air.</li>
<li>Good attendance and attitude a must.</li>
<li>Legally allowed to work in the United States.</li></ul><br>
<br>
<br>
If you would like to work for a company that values honesty, loyalty and customer service while providing employees an opportunity to fulfill career goals, please submit your resume and cover letter to: resume@gmccinc.com<br>
<br>
<br>
<b><i>We are a federal contractor and an Equal Opportunity Employer of protected veterans and individuals with disabilities. We do not illegally discriminate in our employment decisions based on age, race, color, national origin, religion, sex, marital status, sexual orientation, physical or mental disability, veteran status or pregnancy, or any other basis prohibited by local or federal law.</i></b><br>
<b><i>
</i></b><br>
<b><i>We are also an Affirmative Action Employer and are committed to the inclusion of all qualified individuals in our employment selection process.</i></b></div>

Certified Welder

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