Do you like collaborating across teams to solve complex problems? Do you enjoy solving large-scale systems problems? Join our Team! Akamai transforms how organizations safeguard data centers and clouds against advanced threats. Our team includes highly skilled cybersecurity data engineers. We continually seek individuals who contribute fresh ideas and enhance our capabilities. The SSE QA team ensures thorough testing of innovative technologies and systems. We prioritize customers, aiming to protect their business operations and data from evolving threats. Partner with the best As a SDET, you will be part of a scrum team. Working to support high quality practices, plan and build functional, integration, system and acceptance tests, both manual and automated. You'll be a key part of the team responsible for building a world class SSE solution. As a Senior Software Development Engineer in Test, you will be responsible for: - Executing the complete QA process: collecting specifications, creating test plans, automating tests with PyTest, and integrating into CICD pipelines. - Creating and applying new approaches and concepts, including AI, to improve the productivity and efficiency of testing practices. - Designing testing tools, which include developing scripts to enhance regression testing. Do what you love To be successful in this role you will: - Have a solid QA testing experience - Have an advanced knowledge of scripting languages including Python, shell script, SQL, and REST API - Have advanced knowledge of Kubernetes, GitHub Actions, ArgoWF, ArgoCD, Clickhouse, S3, Kafka, Terraform, Kibana, and Grafana - Demonstrate experience in testing of BigData Backend Distributed systems - Have experience working with Cloud Platform(s) AWS, GCP, Azure - Have experience working with AI tools such as Clude-code, Co-Pilot - Have a good understanding on networking protocols and technologies (especially HTTP, HTTPS, DNS) About us At Akamai, we make life better for billions of people, trillions of times a day. Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone. Our focus is simple: Cloud and Edge: Running apps closer to users for instant performance. Security: Neutralizing threats before they ever reach your data. Content Delivery: Scaling the world's biggest moments without a glitch. AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform. At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works. Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits. FlexBase adapts to your job's needs Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work. We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both. Connect with us on social and see what life at Akamai is like!

• Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges • Perform initial manual data quality review to deeply understand failure modes • Build systems to automate quality checks at scale using rule-based and AI-driven approaches • Design hybrid systems that balance automation with human-in-the-loop review • Continuously improve verification methods as the data landscape and AI tooling evolve

Role Description This is the company's top hiring priority and a genuinely hard research problem. Because data flows through a decentralized marketplace, ensuring quality at scale is the single biggest bottleneck to growth. As a Research Engineer, you will build the automated systems that verify and assure data quality so that suppliers consistently deliver excellent data to buyers. You will start by digging into the data manually to understand failure modes, then design systems to automate quality checks at scale, combining rule-based approaches with AI for fuzzier cases and human-in-the-loop review where it makes sense. Responsibilities - Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges - Perform initial manual data quality review to deeply understand failure modes - Build systems to automate quality checks at scale using rule-based and AI-driven approaches - Design hybrid systems that balance automation with human-in-the-loop review - Continuously improve verification methods as the data landscape and AI tooling evolve Qualifications - Deeply technical, with a strong learning slope and the ability to ramp quickly in a fast-moving field - Background in AI/ML engineering, or software engineering at an AI-focused company with data ingestion and processing experience - Ability to reason about likely data quality problems from first principles - Comfortable owning ambiguous, open-ended problems end to end - Bonus: experience working with noisy or unstructured data Company Description Our partner is a YC-backed company building a new kind of marketplace in the AI training data space. Rather than operating as a labor marketplace, they provide infrastructure that lets data producers transform their existing data into formats AI labs want and sell it directly to those labs. This democratized model unlocks far more high-value data sources, and the team is growing quickly to keep up with demand.

Role Description The Senior Research Methodologist position sits within ICF's Global Health and Development Practice, which serves clients such as the U.S. Department of Labor, U.S. Department of State, philanthropic funders, multilateral organizations, and national governments to strengthen health systems, generate evidence, and improve population health and development outcomes in low- and middle-income countries. The practice has deep expertise in population-based surveys, health data systems, monitoring and evaluation, and technical assistance to national institutions. ICF seeks a Senior Research Methodologist to serve as Principal Investigator (PI) for a methodological experiment testing hybrid (phone + in-person) survey designs against contemporaneous Demographic and Health Surveys (DHS). The study asks how much of a standard DHS — including representative biomarker data, small area estimation, and strong measurement performance — can be preserved, under what conditions, and at what cost, using hybrid designs. It will field two designs (household-first and phone-first) alongside contemporaneous DHS in two countries in West and Central Africa, each of which includes malaria biomarkers, and will produce an evidence-informed decision framework and transferable guidance for the DHS Program and the broader survey-research community. The PI is the single point of technical and coordinating accountability for the study, leading a multidisciplinary ICF team and partnering closely with in-country co-Principal Investigators at the national statistical offices in each study country. This is a grant-funded position spanning a two-year period. This position is 100% remote/telecommute, with international travel to study countries. What You'll Be Doing - Provide overall scientific leadership for the experiment from design through implementation, analysis, and dissemination, serving as the single point of technical accountability across two concurrent country tracks. - Convene and lead a technical working group (TWG) of external experts, and finalize core design decisions — including content scope, representativeness targets, and content-triage grading criteria — with in-country co-PIs and partners. - Lead development of the full study protocol and oversee IRB/ethics submissions in coordination with ICF and in-country ethics committees. - Direct the analytic core of the study: sampling and power design, dual-frame estimation, the non-response and replacement protocol, mode-effects estimation, and small area estimation — working closely with the sampler, methodologist, and data scientist/modeler. - Lead development and population of a cost-quality frontier, integrating activity-based cost and time data captured during fieldwork. - Provide in-country and remote support to fieldwork, coordinating a single field workforce across two design arms alongside the contemporaneous DHS, including malaria biomarker collection. - Lead post-hoc simulation of untested design configurations, and translate findings into transferable decision-tree and heuristic guidance for future survey designers. - Lead the final report(s) and peer-reviewed manuscripts, and represent the study in conference and stakeholder presentations. - Serve as the primary technical liaison to the funder and to in-country partners, ensuring strong country ownership and adherence to Global Access and open-data commitments. - Mentor and coordinate a multidisciplinary team; while this position has no direct personnel-management authority, the PI is responsible for project leadership and technical task management in close collaboration with survey managers and finance/operations staff. Qualifications - Doctoral degree (Ph.D. or equivalent) in demography, statistics, biostatistics, epidemiology, public health, a social/behavioral science, or a related quantitative field; OR a master's degree in one of these fields with 20+ years of relevant experience. - Minimum 15 years of experience in survey research design and implementation, applied to population-based or public health surveys (or 20+ years with a master's degree, as above). - Deep expertise in probability sampling, weighting, complex survey design, and estimation, with the ability to independently conduct and interpret advanced analyses (e.g., dual-frame estimation, mode-effects analysis, small area estimation, equivalence testing) and to mentor others. - Demonstrated experience with household survey operations in low- and middle-income countries. - Significant writing experience, including study protocols, client/funder reports, and peer-reviewed publications. - Demonstrated experience conceptualizing and leading research grants or contracts. - Demonstrated track record of methodological thought leadership, such as conference presentations and peer-reviewed articles. Preferred Qualifications - Experience with DHS or DHS-like surveys and with biomarker (e.g., malaria RDT) data collection. - Experience conducting survey research in West and/or Central Africa. - Familiarity with phone-based and multimodal data collection (RDD, list-based, or hybrid designs) and the measurement challenges they raise. - Experience partnering with national statistical offices, ministries, or other in-country institutions. - Working proficiency in French. Professional Skills You Will Use - Attention to detail, organized, and proactive; able to manage multiple competing tasks and deadlines and negotiate prioritization. - Exceptional verbal and written communication, including the ability to convey methodological concepts to varied audiences — funders, country partners, and technical teams. - Able to make sound methodological decisions under real-world timing and budget constraints, including protecting scientific integrity when tradeoffs arise. - Able to drive project progress across concurrent country tracks and a distributed team, in close collaboration with in-country co-PIs and ICF operations staff. - Comfortable working across time zones and cultures with international partners. Submission Materials - Resume/CV. - One writing or work sample on which you were solo or primary author (e.g., a study protocol, methodological report, or peer-reviewed paper demonstrating advanced survey methods and analysis experience; please send no more than one document). Pay Range The pay range for this position based on full-time employment is: $119,323.00 - $202,850.00.