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MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.
We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.
This role will be based out of North America in the PST and MST zones only.
The ideal candidate for this role will have
- 2+ years of engineering experience in backend systems, distributed systems, or core platform development
- Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
- Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
- Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
- Exposure to client-side technologies such as JavaScript and React is a plus
- Good understanding of algorithms, data structures and their time and space complexity
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Nice to Have
- Familiarity with cloud-native distributed systems (e.g., Kubernetes)
- Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
- Contributions to relevant open-source projects
Position Expectations
- Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
- Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
- Work to develop robust and efficient backend services that orchestrate AI functionalities
- Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
- Participate actively in code reviews to enforce best practices and patterns
- Help troubleshoot and resolve complex technical issues in our distributed systems
- Give and solicit feedback on technical design documents and pull requests
- Perform tasks related to process such as CI/CD, quality, testing, etc
Success Measures
Within the first three months, you will have:
- Familiarize yourself with the MongoDB database and aggregation language
- Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Familiarised yourself with the rest of our the application modernization tool stack
- Delivered at least one large scale feature that spans the entire tech stack
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Become a key contributor to our backend stack, capable of taking on complex features independently
- Helped recruit and interview new members of the team
- Collaborated effectively with other teams at MongoDB on cross-functional projects
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 425547
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
Software Engineer 3
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About the Cloud Payments team
Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:
- Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
- Calculates and generates daily customer bills for millions of customers worldwide
- Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
- Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems
We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.
The role
We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.
This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.
What you’ll do
In this role, you will:
- Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
- Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
- Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
- Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
- Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
- Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
- Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden
What we’re looking for
You may be a great fit if you:
- Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
- Understand core object‑oriented design principles and how to apply them to complex, evolving systems
- Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
- Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
- Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
- Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets
Nice to have (but not required):
- Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
- Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
- Familiarity with data-intensive applications, data pipelines, or data lakes
- Exposure to working with I/O frameworks like Reactor
- Experience with containerization and orchestration (e.g., Docker, Kubernetes)
- Prior exposure to MongoDB as a developer or operator
We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.
Working model & location
- Location: Canada
- Working model: Fully remote, with colleagues primarily across North American time zones
How we’ll support you
MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.
You’ll have opportunities to:
- Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
- Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
- Grow your career through mentorship, feedback, and stretch projects aligned with your interests
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
REQ ID: 1273389937
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
Senior Site Reliability Engineer (Calgary, Canada)
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Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the Role
We are looking for a skilled and motivated Senior Site Reliability Engineer (SRE) who will design, implement, maintain, and evolve solutions that increase the reliability and availability of our applications and systems. We strive for close collaboration, shared ownership, and constant learning. As a Senior SRE, you will apply software principles to ensure our applications are designed to eliminate single points of failure, provide maximum observability, and experienced failures are resolved quickly and efficiently.
We are looking for someone who is passionate about SRE practices and methodologies to solve business requirements, constantly seeking new techniques, tools, and solutions to enhance our systems. As a startup in a fast-paced high growth environment, we are looking for an engineer that isn't bound by principles assigned to traditional engineering roles. You’ll be exposed to, develop skills in, and be responsible for work that may at times fall into the traditional world of platform, data, security, and software engineering. We use Kubernetes and Terraform almost exclusively in a 100% cloud-based environment, and are looking for an SRE who is still growing, comfortable in their knowledge of these technologies, and has relevant experience managing Kubernetes applications in an SRE role.
- Be a critical member in our engineering organization designing, implementing, managing, and reviewing infrastructure and application operational and architectural state
- Design, implement, and operate production systems using best practices in automation, monitoring, and observability
- Collaborate with developers, SRE’s, and other engineers to ensure smooth deployments, minimize downtime, maximize observability, share knowledge, and contribute to continuous improvement initiatives
- Experiment with cloud infrastructure environments and services
- Technologies you will work with: GCP, Kubernetes, Terraform, Helm, Datadog, Python, Go, and more
- Participate in 24/7 on-call rotation- (https://status.synd.io/)
About You
- 5+ years of experience in Site Reliability Engineering or similar role operationalizing and maintaining cloud services
- Strong experience with Infrastructure as Code (IaC) tools such as Terraform
- Strong experience with Linux, Kubernetes, Helm and public cloud platforms such as GCP
- Experience with monitoring and alerting tools such as Datadog.
- Experience with CI/CD pipelines and GitOps model for deployment
- Ability to diagnose technical problems, debug code, and automate routine tasks
- Experience in Python and/or Go programming language is a plus
- Experience with security best practices for cloud deployments is a plus
- You are self-disciplined, self-motivated, and have strong sense of ownership, urgency, and drive
- You are available and willing to step in for emergency response and incident management
- You assume positive intent, are humble and eager, expect the best from yourself, value partnership over perfection, and provide grace and understanding in stressful situations
- 💰 Competitive Compensation. For this role our base salary is targeted at $130k-145k CAD. Final offer amounts are determined by factors such as experience and expertise
- 🏆 Syndio Equity. So you can share in Syndio’s success
- 🏝 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave
- 🏦 Pension Contribution
- 📍 Remote-First with opportunities for local meet-ups in Calgary #LI-Remote
Role Progression
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Within 1 month, you’ll complete a comprehensive and supportive onboarding process and be able to make isolated contributions to the product, developer tooling, and infrastructure
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Within 3 months, you’ll have a grasp of the complete set of components (services, tools, configuration, etc.) that make up the product and infrastructure. You will continue to make contributions. You will be a full member of the on-call rotation.
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Within 12 months, you’ll be able to suggest and implement complex changes to the infrastructure, developer tooling, and capacity planning.
Interview overview
Below you'll find an outline of the interview plan for our Senior Site Reliability Engineer position. Please note that while this is what we expect the process to look like, we may ask you for supplemental information or require an additional step before making a final decision.
- Recruiter Screen - 25min
- Hiring Manager - 30min
- Take-home Skills Evaluation
- Loop - Three 30-45 min video calls with departmental peers and cross-functional team members - 2hrs max
- Final Interview - Engineering Leader - 30min
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Staff Software Engineer, User Profile
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About the Team:
Our systems are built in Golang and handle millions of requests per second with an SLA of 100ms. We leverage AWS, Kubernetes, Kafka, ScyllaDB, and other modern tools and databases. It’s important to note that we are a software services team, not a data engineering team.
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the United States for this position.
What you'll be doing:
- Architect scalable, low-latency backend systems and data pipelines while writing code as necessary to support the team
- Provide technical leadership in the design of scalable solutions and the establishment of best practices
- Contribute positively to the team's productivity and growth
- Advocate for software development best practices and conduct thorough code reviews
- Proactively identify and address technical challenges
What you'll bring to the table:
- Proven track record of building scalable, distributed, data-intensive systems
- Experience working with large data in low-latency environments
- At least 7 years of experience in software development for distributed systems, architecting scalable microservices, and data pipelines in a successful high-growth technology company
- A strong understanding of computer science fundamentals, data structures, and algorithms
- Up-to-date knowledge and experience in the latest technologies, tools, and frameworks
- Adtech or Martech experience is a plus
- Experience with Go and high-performance databases is a plus
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Engineering Manager I/II - User Profile
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StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
About the Team:
What You'll Be Doing:
- Lead a backend engineering team focused on user and audience data
- Drive complex, cross-team initiatives across multiple domains
- Design and own scalable, low-latency backend systems and data pipelines
- Mentor engineers and support team growth, performance, and productivity
- Promote engineering best practices through strong technical leadership and code reviews
- Identify and solve complex technical challenges
- Establish and evolve development processes using modern methodologies (Scrum, Kanban)
- Own the technical roadmap and software delivery for your team
- Interview and hire high-performing engineering talent
- Balance priorities to ensure alignment with company goals
- Collaborate with non-technical stakeholders (Product, Project Management)
- Support systems operating under global compliance frameworks
What You'll Bring to the Table
- 2+ years of people management or mentorship experience
- 5+ years of backend development experience in distributed systems, microservices, and data pipelines
- Experience in a high-growth technology environment (preferred)
- Proficiency in at least one backend language (Golang preferred; Java, Kotlin, C++, or similar)
- Proven ability to deliver results while leading and scaling teams
- Experience as a hands-on leader managing 3–10 direct reports
- Working knowledge of modern development methodologies (Scrum, Kanban)
Bonus:
- Adtech experience, particularly with Demand Side Platforms (DSPs)
- Experience with compliance frameworks such as GDPR or CCPA
StackAdapter's Enjoy:
- Highly competitive salary
- Retirement/ 401K/ Pension Savings globally
- Competitive Paid time off packages including birthday's off!
- Access to a comprehensive mental health care program
- Health benefits from day one of employment
- Work from home reimbursements
- Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!
Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
Ready to apply?
Apply to StackAdapt
Generative AI Developer – Microsoft Azure AI Stack
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Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.
Key Responsibilities
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Skills, Knowledge and Expertise
• Develop and deploy Generative AI applications using:
• Azure OpenAI Service (GPT models, embeddings, fine-tuning)
• Azure AI Foundry for managing LLM lifecycle and deployment
• LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
• RAG pipelines using Azure AI Search and vector databases
• AI agents and MCP servers for task automation and reasoning
• Implement prompt engineering strategies and optimize LLM interactions.
• Build APIs and microservices to integrate AI capabilities into enterprise applications.
• Collaborate with architects and client teams to understand requirements and deliver solutions.
• Ensure code quality, performance, and security in cloud-native environments.
• Stay up to date with the latest in generative AI frameworks, tools, and best practices.
Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in software development, with a focus on AI/ML applications.
• Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
• Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
• Proficiency in Python and experience with cloud-native development.
• Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
________________________________________
What We Offer:
• Opportunity to build impactful generative AI solutions for enterprise clients.
• Access to exclusive Microsoft partner resources and training.
• A collaborative, innovative, and growth-oriented work environment.
• Competitive compensation and benefits.
• Career development in a rapidly evolving AI landscape.
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ready to apply?
Apply to LanternData Solutions Architect
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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.
At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.
Data Solutions Architect
We are looking for a Data Solutions Architect to join our Data Solutions team!
As a Data Solutions Architect, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes.
Ideal candidates will be able to:
- Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
- Ability to collaborate with team members to design and implement technology that aligns with client business objectives
- Ability to build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
- Experience working with ETL/ELT technologies such as Azure Data Factory, Fivetran, Snowflake OpenFlow, Apache NiFi and other similar ETL/ELT tools
- Experience working with analytic technologies such as Power BI, Tableau, Sigma, Omni, Looker and other similar analytic tools
- Experience working with cloud enabled data repositories such as Snowflake, Amazon Web Services, Microsoft Azure, and/or Google Cloud Platform.
- Team management experience and ability to manage, mentor and develop talent of assigned junior resources
- Ability to create actionable recommendations based on identified platform, structural and/or logic problems
- Ability to communicate and demonstrate a clear understanding of client business needs, goals, and objectives
- Ability to collaborate with other practices on Solution Proposals, Pre-Sales Activities, Estimation, Scoping and Solutions
Qualifications:
- 5+ years’ experience developing industry -leading business intelligence and analytic solutions
- 5+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives
- 5+ years of SQL development including advanced analytic functions
- 3+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
- 4+ years of experience with relational databases (Postgres, SQL Server, Oracle, Snowflake, and Azure Synapse Analytics, etc.)
- 3+ years of experience creating functional test cases and supporting user acceptance testing
- 3+ years of experience in Agile/Kanban/DevOps Delivery
- Outstanding analytical, communication, and interpersonal skills
- Ability to manage projects and teams against planned work
- Responsible for managing the day-to-day client relationship on projects
- Ability to support sales cycles by leading orals sessions along with building POC solutions for clients
- Ability to travel
Preferred Skills:
- SnowPro certification
- 5+ years experience developing in Snowflake, AWS, Azure, GCP or similar cloud data platform
- 3+ years of experience with modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes
- Solid understanding of data architecture, data modeling, statistics, data science and data infrastructure ecosystems
Spaulding Ridge’s Commitment to an Inclusive Workplace
When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.
At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.
The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (challaday@spauldingridge.com). Requests for reasonable accommodation will be considered on a case-by-case basis.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Ready to apply?
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Senior Performance Engineer
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Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.
We are a critical, high-impact team providing performance testing and actionable guidance for our company’s core Software Composition Analysis (SCA) and Static Application Security Testing (SAST) Java-based Web applications, where customers view and triage results from our analysis products.
If you enjoy the autonomy of being a full-stack performance engineer working on complex technical stacks (distributed systems, microservices, cloud-native) with endless learning opportunities where you will be empowered to dig deep and discover root causes behind any performance issues, you’ll feel at home here.
Key Responsibilities:
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Deploy and set up test instances and PostgreSQL databases on-prem on Linux and in the cloud in AWS and GCP leveraging Docker, Kubernetes, and Jenkins and working heavily in the command-line.
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Troubleshoot deployment issues, test issues, and product issues.
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Develop performance tests using tools such as LoadRunner, DevWeb (JavaScript), Apache Benchmark (ab), and Cypress, and custom tools and scripts written in Python, Perl, Bash, and SQL.
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Monitor, analyze, and use whatever it takes to diagnose issues and bottlenecks and gain insights, including but not limited to: test results, Jenkins logs, application logs, PostgreSQL logs, Docker, Kubernetes, NetData, Prometheus, Grafana, New Relic, Datadog, AWS or GCP cloud monitoring, RabbitMQ, custom PostgreSQL queries.
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File and track product issues in Jira with sufficient details for developers to reproduce and fix the issues.
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Work closely with engineering teams to investigate and mitigate problems found in testing.
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Present key findings and actionable insights and guidance to technical and non-technical audiences in clear and meaningful presentations and other communications.
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Collaborate with a diverse set of distributed stakeholders, building trust, credibility, and positive relationships.
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Write and maintain clear documentation in Confluence.
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Verify performance improvements and fixes.
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Ensure performance does not regress.
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Improve automation so that more time can be spent analyzing measurements rather than just obtaining them.
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Take ownership of tasks, demonstrate initiative, communicate proactively, learn from mistakes, and continuously improve.
Key Requirements:
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Enjoy performance engineering, are good at it, and have 8+ years of dedicated experience doing it, preferably with complex, containerized, distributed products in the cloud.
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Strong experience with:
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Linux
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Docker and Kubernetes
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GCP and/or AWS
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LoadRunner, JMeter, or other performance testing tools
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Scripting, such as with Bash, Perl, or Python
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Diagnosing bottlenecks in PostgreSQL queries or other relational database queries
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Performance monitoring tools such as New Relic, Prometheus, Grafana, or Datadog
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Are comfortable with ambiguity and venturing into the unknown and accept that failure is part of the job because we’re always pushing our products to discover their limits.
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Strong analytical skills with ability to question and find deep meaning in data.
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Prefer ownership and growth over handholding and stagnation.
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Passionate about learning and growing and committed to delivering high-quality work.
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Able to persevere through challenges and unblock self through research, experimentation, and critical thinking.
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Value simplification, reusability, knowledge sharing, and standardization over ad hoc heroics.
Nice to have:
- Java Web applications that use RabbitMQ
- Apache Benchmark (ab)
- Cypress
- Jenkins
- DevWeb (JavaScript)
If you enjoy the types of challenges that this position encompasses, you will thrive here!
Black Duck considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law. In addition, Black Duck complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it maintains facilities. Black Duck also provides reasonable accommodation to individuals with a disability in accordance with applicable laws.
Ready to apply?
Apply to Black Duck Software, Inc.